Results: 55
#1
au:Salles-Costa, Rosana
Filters
Order by
Page
of 4
Next
1.
Exploratory analysis of the association between stature, obesity, and food insecurity in adults of the National Dietary Survey 2017-2018 stature obesity 20172018 2017 2018 2017-201 2017201 201 2017-20 201720 20 2017-2 20172 2 2017-
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
ABSTRACT Objective Evaluate short stature as a possible explanation for obesity, and identify if consumption of energy, protein, carbohydrate, and lipids were associated to higher risk for obesity in Brazilian adults (20-59 y) living in household food insecurity. Methods Cross-sectional study from 2017/2018 Household Budget Survey (N=28,112). Food insecurity was measured with the Brazilian Household Food Insecurity Measurement Scale. Short stature was used as an indicator of malnutrition at the beginning of life, which characterizes metabolic alterations resulting from the presence of food insecurity (cuts off women ≤149cm; men ≤160cm). Body mass index (kg/m2) was estimated from self-reported weight and body height. The average food intake was estimated from a 24-hr recall. The weighted means and standard error of the food security/insecurity categories were assessed according to height, mean energy intake and protein(g), carbohydrate(g) and lipids(g) intake, stratified by gender and nutritional status. Results Both men and women with obesity and food insecurity had significantly lower average height in comparison with those in food security status (p-value <0.01). The prevalence of obesity 1 (BMI 30-34.9kg/m2) increased significantly with the food insecurity among women. There was a trend towards short stature among obese women from families with food insecurity, as well as lower intake of energy. Among both men and women, the lowest intakes of protein and the highest intake of carbohydrates were observed in the underweight group (BMI <18.5kg/m2). Conclusion In women, the risk of obesity may depend on the metabolic background, since who presents food insecurity and develop obesity have low stature and lower energy intake. carbohydrate 2059 20 59 (20-5 y Crosssectional Cross sectional 20172018 2017 2018 2017/201 N=28,112. N28112 N N=28,112 . 28 112 (N=28,112) Scale life cuts ≤149cm 149cm cm ≤160cm. 160cm ≤160cm ≤160cm) kg/m2 kgm2 kgm kg m2 m (kg/m2 selfreported self reported 24hr hr 24 recall securityinsecurity proteing, proteing g , protein(g) carbohydrateg carbohydrate(g lipidsg lipids(g pvalue p value <0.01. 001 <0.01 0 01 <0.01) BMI 3034.9kg/m2 30349kgm2 30 34.9kg/m2 34 9kg 30-34.9kg/m2 <18.5kg/m2. 185kgm2 <18.5kg/m2 18 5kg <18.5kg/m2) background 205 2 5 (20- 2017201 201 2017/20 N2811 N=28,11 11 (N=28,112 kg/m (kg/m protein(g 00 <0.0 3034 3034.9kg/m 30349kgm 3 349kgm2 34.9kg/m 30-34.9kg/m 185kgm <18.5kg/m (20 201720 2017/2 N281 N=28,1 (N=28,11 <0. 303 349kgm (2 20172 2017/ N28 N=28, (N=28,1 <0 ( N2 N=28 (N=28, < N=2 (N=28 N= (N=2 (N= (N
RESUMO Objetivo Avaliar a baixa estatura como possível explicação para a obesidade, e identificar se o consumo de energia, proteína, carboidrato e lipídios esteve associado ao maior risco de obesidade em adultos brasileiros (20-59 anos) que vivem em domicílios em insegurança alimentar domiciliar. Métodos Estudo transversal realizado com dados da Pesquisa de Orçamentos Familiares 2017/2018 (N=28.112). A Insegurança alimentar domiciliar foi medida pela Escala Brasileira de Insegurança Alimentar. A baixa estatura (mulheres ≤149cm; homens ≤160cm) foi utilizada como indicador de alterações metabólicas decorrentes da presença de insegurança alimentar. O índice de massa corporal (kg/m2) foi estimado a partir do peso e altura autorreferidos. A média de ingestão alimentar foi estimada a partir do recordatório de 24 horas. As médias ponderadas e o erro padrão das categorias de segurança/insegurança alimentar foram avaliadas segundo estatura, médias de ingestão energéticas e de proteínas(g), carboidratos(g) e lipídios(g), estratificado por sexo e estado nutricional. Resultados Homens e mulheres com obesidade e insegurança alimentar apresentaram a média de estatura significativamente menor em comparação aqueles com segurança alimentar (p-valor <0,01). A prevalência de obesidade 1 (índice de massa corporal 30-34,9Kg/m2) aumentou significativamente com a insegurança alimentar entre as mulheres. Houve tendência de baixa estatura entre mulheres obesas de famílias com insegurança alimentar, bem como menor ingestão de energia. Entre homens e mulheres, a menor ingestão de proteína e a maior ingestão de carboidratos foram observadas no grupo de baixo peso (índice de massa corporal <18,5Kg/m2). Conclusão Nas mulheres, o risco de obesidade pode depender do metabolismo, pois quem apresenta insegurança alimentar e desenvolve obesidade possui baixa estatura e menor ingestão energética. energia 2059 20 59 (20-5 anos 20172018 2017 2018 2017/201 N=28.112. N28112 N N=28.112 . 28 112 (N=28.112) Alimentar ≤149cm 149cm cm ≤160cm 160cm kg/m2 kgm2 kgm kg m2 m (kg/m2 autorreferidos 2 horas segurançainsegurança proteínasg, proteínasg proteínas g , proteínas(g) carboidratosg carboidratos(g lipídiosg, lipídiosg lipídios(g) nutricional pvalor p valor <0,01. 001 <0,01 0 01 <0,01) 3034,9Kg/m2 30349Kgm2 Kgm 30 34,9Kg/m2 34 9Kg Kg 30-34,9Kg/m2 <18,5Kg/m2. 185Kgm2 <18,5Kg/m2 18 5Kg <18,5Kg/m2) metabolismo energética 205 5 (20- 2017201 201 2017/20 N2811 N=28.11 11 (N=28.112 kg/m (kg/m proteínas(g lipídios(g 00 <0,0 3034 3034,9Kg/m 30349Kgm 3 349Kgm2 34,9Kg/m 30-34,9Kg/m 185Kgm <18,5Kg/m (20 201720 2017/2 N281 N=28.1 (N=28.11 <0, 303 349Kgm (2 20172 2017/ N28 N=28. (N=28.1 <0 ( N2 N=28 (N=28. < N=2 (N=28 N= (N=2 (N= (N
2.
Catálogo Taxonômico da Fauna do Brasil: Setting the baseline knowledge on the animal diversity in Brazil Brasil
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Boeger, Walter A.
; Valim, Michel P.
; Zaher, Hussam
; Rafael, José A.
; Forzza, Rafaela C.
; Percequillo, Alexandre R.
; Serejo, Cristiana S.
; Garraffoni, André R.S.
; Santos, Adalberto J.
; Slipinski, Adam
; Linzmeier, Adelita M.
; Calor, Adolfo R.
; Garda, Adrian A.
; Kury, Adriano B.
; Fernandes, Agatha C.S.
; Agudo-Padrón, Aisur I.
; Akama, Alberto
; Silva Neto, Alberto M. da
; Burbano, Alejandro L.
; Menezes, Aleksandra
; Pereira-Colavite, Alessandre
; Anichtchenko, Alexander
; Lees, Alexander C.
; Bezerra, Alexandra M.R.
; Domahovski, Alexandre C.
; Pimenta, Alexandre D.
; Aleixo, Alexandre L.P.
; Marceniuk, Alexandre P.
; Paula, Alexandre S. de
; Somavilla, Alexandre
; Specht, Alexandre
; Camargo, Alexssandro
; Newton, Alfred F.
; Silva, Aline A.S. da
; Santos, Aline B. dos
; Tassi, Aline D.
; Aragão, Allan C.
; Santos, Allan P.M.
; Migotto, Alvaro E.
; Mendes, Amanda C.
; Cunha, Amanda
; Chagas Júnior, Amazonas
; Sousa, Ana A.T. de
; Pavan, Ana C.
; Almeida, Ana C.S.
; Peronti, Ana L.B.G.
; Henriques-Oliveira, Ana L.
; Prudente, Ana L.
; Tourinho, Ana L.
; Pes, Ana M.O.
; Carmignotto, Ana P.
; Wengrat, Ana P.G. da Silva
; Dornellas, Ana P.S.
; Molin, Anamaria Dal
; Puker, Anderson
; Morandini, André C.
; Ferreira, André da S.
; Martins, André L.
; Esteves, André M.
; Fernandes, André S.
; Roza, André S.
; Köhler, Andreas
; Paladini, Andressa
; Andrade, Andrey J. de
; Pinto, Ângelo P.
; Salles, Anna C. de A.
; Gondim, Anne I.
; Amaral, Antonia C.Z.
; Rondón, Antonio A.A.
; Brescovit, Antonio
; Lofego, Antônio C.
; Marques, Antonio C.
; Macedo, Antonio
; Andriolo, Artur
; Henriques, Augusto L.
; Ferreira Júnior, Augusto L.
; Lima, Aurino F. de
; Barros, Ávyla R. de A.
; Brito, Ayrton do R.
; Romera, Bárbara L.V.
; Vasconcelos, Beatriz M.C. de
; Frable, Benjamin W.
; Santos, Bernardo F.
; Ferraz, Bernardo R.
; Rosa, Brunno B.
; Sampaio, Brunno H.L.
; Bellini, Bruno C.
; Clarkson, Bruno
; Oliveira, Bruno G. de
; Corrêa, Caio C.D.
; Martins, Caleb C.
; Castro-Guedes, Camila F. de
; Souto, Camilla
; Bicho, Carla de L.
; Cunha, Carlo M.
; Barboza, Carlos A. de M.
; Lucena, Carlos A.S. de
; Barreto, Carlos
; Santana, Carlos D.C.M. de
; Agne, Carlos E.Q.
; Mielke, Carlos G.C.
; Caetano, Carlos H.S.
; Flechtmann, Carlos H.W.
; Lamas, Carlos J.E.
; Rocha, Carlos
; Mascarenhas, Carolina S.
; Margaría, Cecilia B.
; Waichert, Cecilia
; Digiani, Celina
; Haddad, Célio F.B.
; Azevedo, Celso O.
; Benetti, Cesar J.
; Santos, Charles M.D. dos
; Bartlett, Charles R.
; Bonvicino, Cibele
; Ribeiro-Costa, Cibele S.
; Santos, Cinthya S.G.
; Justino, Cíntia E.L.
; Canedo, Clarissa
; Bonecker, Claudia C.
; Santos, Cláudia P.
; Carvalho, Claudio J.B. de
; Gonçalves, Clayton C.
; Galvão, Cleber
; Costa, Cleide
; Oliveira, Cléo D.C. de
; Schwertner, Cristiano F.
; Andrade, Cristiano L.
; Pereira, Cristiano M.
; Sampaio, Cristiano
; Dias, Cristina de O.
; Lucena, Daercio A. de A.
; Manfio, Daiara
; Amorim, Dalton de S.
; Queiroz, Dalva L. de
; Queiroz, Dalva L. de
; Colpani, Daniara
; Abbate, Daniel
; Aquino, Daniel A.
; Burckhardt, Daniel
; Cavallari, Daniel C.
; Prado, Daniel de C. Schelesky
; Praciano, Daniel L.
; Basílio, Daniel S.
; Bená, Daniela de C.
; Toledo, Daniela G.P. de
; Takiya, Daniela M.
; Fernandes, Daniell R.R.
; Ament, Danilo C.
; Cordeiro, Danilo P.
; Silva, Darliane E.
; Pollock, Darren A.
; Muniz, David B.
; Gibson, David I.
; Nogueira, David S.
; Marques, Dayse W.A.
; Lucatelli, Débora
; Garcia, Deivys M.A.
; Baêta, Délio
; Ferreira, Denise N.M.
; Rueda-Ramírez, Diana
; Fachin, Diego A.
; Souza, Diego de S.
; Rodrigues, Diego F.
; Pádua, Diego G. de
; Barbosa, Diego N.
; Dolibaina, Diego R.
; Amaral, Diogo C.
; Chandler, Donald S.
; Maccagnan, Douglas H.B.
; Caron, Edilson
; Carvalho, Edrielly
; Adriano, Edson A.
; Abreu Júnior, Edson F. de
; Pereira, Edson H.L.
; Viegas, Eduarda F.G.
; Carneiro, Eduardo
; Colley, Eduardo
; Eizirik, Eduardo
; Santos, Eduardo F. dos
; Shimbori, Eduardo M.
; Suárez-Morales, Eduardo
; Arruda, Eliane P. de
; Chiquito, Elisandra A.
; Lima, Élison F.B.
; Castro, Elizeu B. de
; Orlandin, Elton
; Nascimento, Elynton A. do
; Razzolini, Emanuel
; Gama, Emanuel R.R.
; Araujo, Enilma M. de
; Nishiyama, Eric Y.
; Spiessberger, Erich L.
; Santos, Érika C.L. dos
; Contreras, Eugenia F.
; Galati, Eunice A.B.
; Oliveira Junior, Evaldo C. de
; Gallardo, Fabiana
; Hernandes, Fabio A.
; Lansac-Tôha, Fábio A.
; Pitombo, Fabio B.
; Dario, Fabio Di
; Santos, Fábio L. dos
; Mauro, Fabio
; Nascimento, Fabio O. do
; Olmos, Fabio
; Amaral, Fabio R.
; Schunck, Fabio
; Godoi, Fábio S. P. de
; Machado, Fabrizio M.
; Barbo, Fausto E.
; Agrain, Federico A.
; Ribeiro, Felipe B.
; Moreira, Felipe F.F.
; Barbosa, Felipe F.
; Silva, Fenanda S.
; Cavalcanti, Fernanda F.
; Straube, Fernando C.
; Carbayo, Fernando
; Carvalho Filho, Fernando
; Zanella, Fernando C.V.
; Jacinavicius, Fernando de C.
; Farache, Fernando H.A.
; Leivas, Fernando
; Dias, Fernando M.S.
; Mantellato, Fernando
; Vaz-de-Mello, Fernando Z.
; Gudin, Filipe M.
; Albuquerque, Flávio
; Molina, Flavio B.
; Passos, Flávio D.
; Shockley, Floyd W.
; Pinheiro, Francielly F.
; Mello, Francisco de A.G. de
; Nascimento, Francisco E. de L.
; Franco, Francisco L.
; Oliveira, Francisco L. de
; Melo, Francisco T. de V.
; Quijano, Freddy R.B.
; Salles, Frederico F.
; Biffi, Gabriel
; Queiroz, Gabriel C.
; Bizarro, Gabriel L.
; Hrycyna, Gabriela
; Leviski, Gabriela
; Powell, Gareth S.
; Santos, Geane B. dos
; Morse, Geoffrey E.
; Brown, George
; Mattox, George M.T.
; Zimbrão, Geraldo
; Carvalho, Gervásio S.
; Miranda, Gil F.G.
; Moraes, Gilberto J. de
; Lourido, Gilcélia M.
; Neves, Gilmar P.
; Moreira, Gilson R.P.
; Montingelli, Giovanna G.
; Maurício, Giovanni N.
; Marconato, Gláucia
; Lopez, Guilherme E.L.
; Silva, Guilherme L. da
; Muricy, Guilherme
; Brito, Guilherme R.R.
; Garbino, Guilherme S.T.
; Flores, Gustavo E.
; Graciolli, Gustavo
; Libardi, Gustavo S.
; Proctor, Heather C.
; Gil-Santana, Helcio R.
; Varella, Henrique R.
; Escalona, Hermes E.
; Schmitz, Hermes J.
; Rodrigues, Higor D.D.
; Galvão Filho, Hilton de C.
; Quintino, Hingrid Y.S.
; Pinto, Hudson A.
; Rainho, Hugo L.
; Miyahira, Igor C.
; Gonçalves, Igor de S.
; Martins, Inês X.
; Cardoso, Irene A.
; Oliveira, Ismael B. de
; Franz, Ismael
; Fernandes, Itanna O.
; Golfetti, Ivan F.
; S. Campos-Filho, Ivanklin
; Oliveira, Ivo de S.
; Delabie, Jacques H.C.
; Oliveira, Jader de
; Prando, Jadila S.
; Patton, James L.
; Bitencourt, Jamille de A.
; Silva, Janaina M.
; Santos, Jandir C.
; Arruda, Janine O.
; Valderrama, Jefferson S.
; Dalapicolla, Jeronymo
; Oliveira, Jéssica P.
; Hájek, Jiri
; Morselli, João P.
; Narita, João P.
; Martin, João P.I.
; Grazia, Jocélia
; McHugh, Joe
; Cherem, Jorge J.
; Farias Júnior, José A.S.
; Fernandes, Jose A.M.
; Pacheco, José F.
; Birindelli, José L.O.
; Rezende, José M.
; Avendaño, Jose M.
; Duarte, José M. Barbanti
; Ribeiro, José R. Inácio
; Mermudes, José R.M.
; Pujol-Luz, José R.
; Santos, Josenilson R. dos
; Câmara, Josenir T.
; Teixeira, Joyce A.
; Prado, Joyce R. do
; Botero, Juan P.
; Almeida, Julia C.
; Kohler, Julia
; Gonçalves, Julia P.
; Beneti, Julia S.
; Donahue, Julian P.
; Alvim, Juliana
; Almeida, Juliana C.
; Segadilha, Juliana L.
; Wingert, Juliana M.
; Barbosa, Julianna F.
; Ferrer, Juliano
; Santos, Juliano F. dos
; Kuabara, Kamila M.D.
; Nascimento, Karine B.
; Schoeninger, Karine
; Campião, Karla M.
; Soares, Karla
; Zilch, Kássia
; Barão, Kim R.
; Teixeira, Larissa
; Sousa, Laura D. do N.M. de
; Dumas, Leandro L.
; Vieira, Leandro M.
; Azevedo, Leonardo H.G.
; Carvalho, Leonardo S.
; Souza, Leonardo S. de
; Rocha, Leonardo S.G.
; Bernardi, Leopoldo F.O.
; Vieira, Letícia M.
; Johann, Liana
; Salvatierra, Lidianne
; Oliveira, Livia de M.
; Loureiro, Lourdes M.A. El-moor
; Barreto, Luana B.
; Barros, Luana M.
; Lecci, Lucas
; Camargos, Lucas M. de
; Lima, Lucas R.C.
; Almeida, Lucia M.
; Martins, Luciana R.
; Marinoni, Luciane
; Moura, Luciano de A.
; Lima, Luciano
; Naka, Luciano N.
; Miranda, Lucília S.
; Salik, Lucy M.
; Bezerra, Luis E.A.
; Silveira, Luis F.
; Campos, Luiz A.
; Castro, Luiz A.S. de
; Pinho, Luiz C.
; Silveira, Luiz F.L.
; Iniesta, Luiz F.M.
; Tencatt, Luiz F.C.
; Simone, Luiz R.L.
; Malabarba, Luiz R.
; Cruz, Luiza S. da
; Sekerka, Lukas
; Barros, Lurdiana D.
; Santos, Luziany Q.
; Skoracki, Maciej
; Correia, Maira A.
; Uchoa, Manoel A.
; Andrade, Manuella F.G.
; Hermes, Marcel G.
; Miranda, Marcel S.
; Araújo, Marcel S. de
; Monné, Marcela L.
; Labruna, Marcelo B.
; Santis, Marcelo D. de
; Duarte, Marcelo
; Knoff, Marcelo
; Nogueira, Marcelo
; Britto, Marcelo R. de
; Melo, Marcelo R.S. de
; Carvalho, Marcelo R. de
; Tavares, Marcelo T.
; Kitahara, Marcelo V.
; Justo, Marcia C.N.
; Botelho, Marcia J.C.
; Couri, Márcia S.
; Borges-Martins, Márcio
; Felix, Márcio
; Oliveira, Marcio L. de
; Bologna, Marco A.
; Gottschalk, Marco S.
; Tavares, Marcos D.S.
; Lhano, Marcos G.
; Bevilaqua, Marcus
; Santos, Marcus T.T.
; Domingues, Marcus V.
; Sallum, Maria A.M.
; Digiani, María C.
; Santarém, Maria C.A.
; Nascimento, Maria C. do
; Becerril, María de los A.M.
; Santos, Maria E.A. dos
; Passos, Maria I. da S. dos
; Felippe-Bauer, Maria L.
; Cherman, Mariana A.
; Terossi, Mariana
; Bartz, Marie L.C.
; Barbosa, Marina F. de C.
; Loeb, Marina V.
; Cohn-Haft, Mario
; Cupello, Mario
; Martins, Marlúcia B.
; Christofersen, Martin L.
; Bento, Matheus
; Rocha, Matheus dos S.
; Martins, Maurício L.
; Segura, Melissa O.
; Cardenas, Melissa Q.
; Duarte, Mércia E.
; Ivie, Michael A.
; Mincarone, Michael M.
; Borges, Michela
; Monné, Miguel A.
; Casagrande, Mirna M.
; Fernandez, Monica A.
; Piovesan, Mônica
; Menezes, Naércio A.
; Benaim, Natalia P.
; Reategui, Natália S.
; Pedro, Natan C.
; Pecly, Nathalia H.
; Ferreira Júnior, Nelson
; Silva Júnior, Nelson J. da
; Perioto, Nelson W.
; Hamada, Neusa
; Degallier, Nicolas
; Chao, Ning L.
; Ferla, Noeli J.
; Mielke, Olaf H.H.
; Evangelista, Olivia
; Shibatta, Oscar A.
; Oliveira, Otto M.P.
; Albornoz, Pablo C.L.
; Dellapé, Pablo M.
; Gonçalves, Pablo R.
; Shimabukuro, Paloma H.F.
; Grossi, Paschoal
; Rodrigues, Patrícia E. da S.
; Lima, Patricia O.V.
; Velazco, Paul
; Santos, Paula B. dos
; Araújo, Paula B.
; Silva, Paula K.R.
; Riccardi, Paula R.
; Garcia, Paulo C. de A.
; Passos, Paulo G.H.
; Corgosinho, Paulo H.C.
; Lucinda, Paulo
; Costa, Paulo M.S.
; Alves, Paulo P.
; Roth, Paulo R. de O.
; Coelho, Paulo R.S.
; Duarte, Paulo R.M.
; Carvalho, Pedro F. de
; Gnaspini, Pedro
; Souza-Dias, Pedro G.B.
; Linardi, Pedro M.
; Bartholomay, Pedro R.
; Demite, Peterson R.
; Bulirsch, Petr
; Boll, Piter K.
; Pereira, Rachel M.M.
; Silva, Rafael A.P.F.
; Moura, Rafael B. de
; Boldrini, Rafael
; Silva, Rafaela A. da
; Falaschi, Rafaela L.
; Cordeiro, Ralf T.S.
; Mello, Ramon J.C.L.
; Singer, Randal A.
; Querino, Ranyse B.
; Heleodoro, Raphael A.
; Castilho, Raphael de C.
; Constantino, Reginaldo
; Guedes, Reinaldo C.
; Carrenho, Renan
; Gomes, Renata S.
; Gregorin, Renato
; Machado, Renato J.P.
; Bérnils, Renato S.
; Capellari, Renato S.
; Silva, Ricardo B.
; Kawada, Ricardo
; Dias, Ricardo M.
; Siewert, Ricardo
; Brugnera, Ricaro
; Leschen, Richard A.B.
; Constantin, Robert
; Robbins, Robert
; Pinto, Roberta R.
; Reis, Roberto E. dos
; Ramos, Robson T. da C.
; Cavichioli, Rodney R.
; Barros, Rodolfo C. de
; Caires, Rodrigo A.
; Salvador, Rodrigo B.
; Marques, Rodrigo C.
; Araújo, Rodrigo C.
; Araujo, Rodrigo de O.
; Dios, Rodrigo de V.P.
; Johnsson, Rodrigo
; Feitosa, Rodrigo M.
; Hutchings, Roger W.
; Lara, Rogéria I.R.
; Rossi, Rogério V.
; Gerstmeier, Roland
; Ochoa, Ronald
; Hutchings, Rosa S.G.
; Ale-Rocha, Rosaly
; Rocha, Rosana M. da
; Tidon, Rosana
; Brito, Rosangela
; Pellens, Roseli
; Santos, Sabrina R. dos
; Santos, Sandra D. dos
; Paiva, Sandra V.
; Santos, Sandro
; Oliveira, Sarah S. de
; Costa, Sávio C.
; Gardner, Scott L.
; Leal, Sebastián A. Muñoz
; Aloquio, Sergio
; Bonecker, Sergio L.C.
; Bueno, Sergio L. de S.
; Almeida, Sérgio M. de
; Stampar, Sérgio N.
; Andena, Sérgio R.
; Posso, Sergio R.
; Lima, Sheila P.
; Gadelha, Sian de S.
; Thiengo, Silvana C.
; Cohen, Simone C.
; Brandão, Simone N.
; Rosa, Simone P.
; Ribeiro, Síria L.B.
; Letana, Sócrates D.
; Santos, Sonia B. dos
; Andrade, Sonia C.S.
; Dávila, Stephane
; Vaz, Stéphanie
; Peck, Stewart B.
; Christo, Susete W.
; Cunha, Suzan B.Z.
; Gomes, Suzete R.
; Duarte, Tácio
; Madeira-Ott, Taís
; Marques, Taísa
; Roell, Talita
; Lima, Tarcilla C. de
; Sepulveda, Tatiana A.
; Maria, Tatiana F.
; Ruschel, Tatiana P.
; Rodrigues, Thaiana
; Marinho, Thais A.
; Almeida, Thaís M. de
; Miranda, Thaís P.
; Freitas, Thales R.O.
; Pereira, Thalles P.L.
; Zacca, Thamara
; Pacheco, Thaynara L.
; Martins, Thiago F.
; Alvarenga, Thiago M.
; Carvalho, Thiago R. de
; Polizei, Thiago T.S.
; McElrath, Thomas C.
; Henry, Thomas
; Pikart, Tiago G.
; Porto, Tiago J.
; Krolow, Tiago K.
; Carvalho, Tiago P.
; Lotufo, Tito M. da C.
; Caramaschi, Ulisses
; Pinheiro, Ulisses dos S.
; Pardiñas, Ulyses F.J.
; Maia, Valéria C.
; Tavares, Valeria
; Costa, Valmir A.
; Amaral, Vanessa S. do
; Silva, Vera C.
; Wolff, Vera R. dos S.
; Slobodian, Verônica
; Silva, Vinícius B. da
; Espíndola, Vinicius C.
; Costa-Silva, Vinicius da
; Bertaco, Vinicius de A.
; Padula, Vinícius
; Ferreira, Vinicius S.
; Silva, Vitor C.P. da
; Piacentini, Vítor de Q.
; Sandoval-Gómez, Vivian E.
; Trevine, Vivian
; Sousa, Viviane R.
; Sant’Anna, Vivianne B. de
; Mathis, Wayne N.
; Souza, Wesley de O.
; Colombo, Wesley D.
; Tomaszewska, Wioletta
; Wosiacki, Wolmar B.
; Ovando, Ximena M.C.
; Leite, Yuri L.R.
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
ABSTRACT The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others. publications problem uptodate up date classifications context exception (CTFB http//fauna.jbrj.gov.br/, httpfaunajbrjgovbr http //fauna.jbrj.gov.br/ , jbrj gov br (http://fauna.jbrj.gov.br/) 2015 Brazil 80 specialists 1 2024 133691 133 691 133,69 125138 125 138 125,13 82.3%, 823 82 3 (82.3% 102000 102 000 102,00 7.69%, 769 7 69 (7.69% 11000 11 11,00 . 3,567 3567 567 (3,56 2,292 2292 2 292 (2,29 1,833 1833 833 (1,83 1,447 1447 447 (1,44 1000 1,00 831 (83 628 (62 606 (60 520 (52 50 users science health biology law anthropology education others http//fauna.jbrj.gov.br/ faunajbrjgovbr //fauna.jbrj.gov.br (http://fauna.jbrj.gov.br/ 201 8 202 13369 13 133,6 12513 12 125,1 82.3% (82.3 10200 10 00 102,0 7.69% 76 6 (7.69 1100 11,0 3,56 356 56 (3,5 2,29 229 29 (2,2 1,83 183 83 (1,8 1,44 144 44 (1,4 100 1,0 (8 62 (6 60 52 (5 5 http//fauna.jbrj.gov.br (http://fauna.jbrj.gov.br 20 1336 133, 1251 125, 82.3 (82. 1020 0 102, 7.69 (7.6 110 11, 3,5 35 (3, 2,2 22 (2, 1,8 18 (1, 1,4 14 4 ( 82. (82 7.6 (7. 3, (3 2, (2 (1 7. (7
3.
Changes in the frequency of food consumption by adults/elderly according to food insecurity: evidence from a longitudinal study in the northeastern semi-arid region, Brazil, 2011-2014 adultselderly adults elderly insecurity semiarid semi arid region Brazil 20112014 2011 2014 2011-201 2011201 201 2011-20 201120 20 2011-2 20112 2 2011-
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Palmeira, Poliana de Araújo
; Laurentino, Jackson Silva Lima
; Cherol, Camilla Christine de Souza
; Salles-Costa, Rosana
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
ABSTRACT Objective: To prospectively analyze changes in the frequency of individual food consumption of adults/elderly people according to different food insecurity outcomes over time. Methods: Population-based longitudinal study carried out in 2011 (358 individuals) and 2014 (301 individuals) in a municipality in the northeastern semi-arid region. The frequency of food consumption of 37 foods in adults/elderly was assessed using the Food Frequency Questionnaire and food insecurity using the Brazilian Food Insecurity Scale. Differences in the proportion of frequency of consumption of each food at baseline (2011) and follow-up (2014) were calculated according to longitudinal categories of change in food insecurity. The McNemar test for paired samples was applied to estimate differences between 2011 and 2014. Results: Among the individuals studied, 38.9% and 30.6% were classified in food security and food insecurity in the two periods (2011 and 2014), respectively, and 23.2% changed from food insecurity in 2011 to food security in 2014. Increase in the frequency of food consumed in the three groups of food insecurity outcomes. Only in the food insecurity group at both times, an increase in the consumption frequency of soft drinks and industrialized juices was observed. In the three groups, when comparing 2011 and 2014, there was an increase in the consumption of local agricultural foods, such as mangoes, sweet potatoes and a decrease in the consumption of pumpkin. Conclusion: Overcoming food insecurity results in positive changes in food consumption, and seasonality is a factor that promotes and limits food consumption. Objective adultselderly adults elderly time Methods Populationbased Population based 201 358 (35 301 (30 semiarid semi arid region 3 Scale followup follow up (2014 Results studied 389 38 9 38.9 306 30 6 30.6 (201 , 2014) respectively 232 23 2 23.2 times observed mangoes pumpkin Conclusion 20 35 (3 38. 30. (20 23. ( (2
RESUMO Objetivo: Analisar prospectivamente mudanças na frequência do consumo alimentar individual de adultos/idosos segundo diferentes desfechos de insegurança alimentar no tempo. Métodos: Estudo longitudinal de base populacional realizado em 2011 (358 indivíduos) e 2014 (301 indivíduos) em um município do semiárido nordestino. Foi avaliada a frequência de consumo alimentar de 37 alimentos em adultos/idosos por Questionário de Frequência Alimentar e a insegurança alimentar pela Escala Brasileira de Insegurança Alimentar. Foram calculadas as diferenças na proporção da frequência de consumo de cada alimento no baseline (2011) e follow-up (2014) segundo categorias longitudinais de mudança na insegurança alimentar. Foi aplicado o teste de McNemar para amostras pareadas para estimar diferenças entre 2011 e 2014. Resultados: Dentre os indivíduos estudados, 38,9% e 30,6% foram classificados em segurança e insegurança alimentar nos dois tempos (2011 e 2014), respectivamente, e 23,2% mudaram da insegurança alimentar em 2011 para segurança alimentar em 2014. Houve aumento na frequência dos alimentos consumidos nos três grupos de desfechos da insegurança alimentar. Apenas no grupo insegurança alimentar nos dois tempos, observou-se aumento na frequência alimentar de refrigerantes e sucos industrializados. Nos três grupos, ao comparar 2011 e 2014, houve aumento no consumo de alimentos da vocação agrícola local, como manga, batata-doce e diminuição do consumo de jerimum/abóbora. Conclusão: A superação da insegurança alimentar resulta em mudanças positivas no consumo de alimentos, e a sazonalidade é um fator promotor e limitante do consumo de alimentos. Objetivo adultosidosos adultos idosos tempo Métodos 201 358 (35 301 (30 nordestino 3 followup follow up (2014 Resultados estudados 389 38 9 38,9 306 30 6 30,6 (201 , 2014) respectivamente 232 23 2 23,2 observouse observou se industrializados local manga batatadoce batata doce jerimumabóbora jerimum abóbora jerimum/abóbora Conclusão 20 35 (3 38, 30, (20 23, ( (2
4.
Rise and fall of household food security in Brazil, 2004 to 2022 Brazil 200 202 20 2
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Salles-Costa, Rosana
; Segall-Corrêa, Ana Maria
; Alexandre-Weiss, Veruska Prado
; Pasquim, Elaine Martins
; Paula, Nilson Maciel de
; Lignani, Juliana de Bem
; Grossi, Mauro Eduardo Del
; Zimmermann, Silvia Aparecida
; Medeiros, Maria Angélica Tavares de
; Santos, Sandra Maria Chaves dos
; Maluf, Renato S.
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
5.
Rise and fall of household food security in Brazil, 2004 to 2022
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Salles-Costa, Rosana
; Segall-Corrêa, Ana Maria
; Alexandre-Weiss, Veruska Prado
; Pasquim, Elaine Martins
; Paula, Nilson Maciel de
; Lignani, Juliana de Bem
; Grossi, Mauro Eduardo Del
; Zimmermann, Silvia Aparecida
; Medeiros, Maria Angélica Tavares de
; Santos, Sandra Maria Chaves dos
; Maluf, Renato S.
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
6.
Inequalities in food acquisition according to the social profiles of the head of households in Brazil
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Sgambato, Michele Ribeiro
; Lignani, Juliana de Bem
; Pires, Caroline Abreu
; Ribeiro, Eloah Costa de Sant Anna
; Domingos, Talita Barbosa
; Ferreira, Aline Alves
; Sichieri, Rosely
; Oliveira, Lívia Gomes de
; Salles-Costa, Rosana
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
Resumo O Brasil é caracterizado por fortes desigualdades sociais e diferenças no acesso a alimentos de qualidade e em quantidade suficiente, o que representa uma violação do direito humano à alimentação adequada. O objetivo foi avaliar os gastos com alimentação de acordo com o perfil social do responsável pelo domicílio. Dados da Pesquisa de Orçamentos Familiares Brasileiros de corte transversal (2017/2018) foram usados com uma amostra nacionalmente representativa de participantes da pesquisa domiciliar (n=52.917). A regressão de Poisson foi utilizada para estimar razões de prevalência (RP) para avaliar a associação de diferentes perfis sociais com a aquisição de alimentos. O perfil caracterizado pela mulher auto classificada como branca, com maior escolaridade, cujas características estiveram positiva e significativamente associadas a maior aquisição de frutas (RP=1,22; IC95% 1,09-1,36), verduras e legumes (PR=1,24; IC95% 1,09-1,41) e queijo (RP=1,32; IC95% 1,09-1,59). Mulheres negras com baixa escolaridade apresentaram associação negativa com o consumo de refrigerantes (RP=0,53; IC95% 0,45-0,62) e alimentos preparados (RP=0,52; IC95% 0,37-0,74). Os resultados revelam grandes desigualdades na aquisição de alimentos entre os perfis sociais dos chefes de família.
Abstract Brazil is characterized by strong social inequalities and differences in access to quality food and sufficient quantities of it, which represent a violation of the human right to adequate food. The aim was to assess food expenditures according to the social profiles of the head of the households. Data from the cross-sectional Brazilian Household Budget Survey (2017/2018) were used with a nationally representative sample of household survey participants (n=52,917). Poisson regression was used to estimate prevalence ratios (PR) to assess the association of different social profiles with the acquisition of food. The profile characterized by woman self-classified as white, with a higher education, which characteristics were positively and significantly associated with more acquisition of fruits (PR=1.22; CI95% 1.09-1.36) and vegetables and greens (PR=1.24; CI95% 1.09-1.41). Black women with low education levels showed a negative association with the consumption of soda (PR=0.53; CI95% 0.45-0.62), and prepared food (PR=0.52; CI95% 0.37-0.74). The results reveal great inequalities in the purchase of food between the social profiles of the heads of the family.
7.
Inequalities in food acquisition according to the social profiles of the head of households in Brazil
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Sgambato, Michele Ribeiro
; Lignani, Juliana de Bem
; Pires, Caroline Abreu
; Ribeiro, Eloah Costa de Sant Anna
; Domingos, Talita Barbosa
; Ferreira, Aline Alves
; Sichieri, Rosely
; Oliveira, Lívia Gomes de
; Salles-Costa, Rosana
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
Resumo O Brasil é caracterizado por fortes desigualdades sociais e diferenças no acesso a alimentos de qualidade e em quantidade suficiente, o que representa uma violação do direito humano à alimentação adequada. O objetivo foi avaliar os gastos com alimentação de acordo com o perfil social do responsável pelo domicílio. Dados da Pesquisa de Orçamentos Familiares Brasileiros de corte transversal (2017/2018) foram usados com uma amostra nacionalmente representativa de participantes da pesquisa domiciliar (n=52.917). A regressão de Poisson foi utilizada para estimar razões de prevalência (RP) para avaliar a associação de diferentes perfis sociais com a aquisição de alimentos. O perfil caracterizado pela mulher auto classificada como branca, com maior escolaridade, cujas características estiveram positiva e significativamente associadas a maior aquisição de frutas (RP=1,22; IC95% 1,09-1,36), verduras e legumes (PR=1,24; IC95% 1,09-1,41) e queijo (RP=1,32; IC95% 1,09-1,59). Mulheres negras com baixa escolaridade apresentaram associação negativa com o consumo de refrigerantes (RP=0,53; IC95% 0,45-0,62) e alimentos preparados (RP=0,52; IC95% 0,37-0,74). Os resultados revelam grandes desigualdades na aquisição de alimentos entre os perfis sociais dos chefes de família.
Abstract Brazil is characterized by strong social inequalities and differences in access to quality food and sufficient quantities of it, which represent a violation of the human right to adequate food. The aim was to assess food expenditures according to the social profiles of the head of the households. Data from the cross-sectional Brazilian Household Budget Survey (2017/2018) were used with a nationally representative sample of household survey participants (n=52,917). Poisson regression was used to estimate prevalence ratios (PR) to assess the association of different social profiles with the acquisition of food. The profile characterized by woman self-classified as white, with a higher education, which characteristics were positively and significantly associated with more acquisition of fruits (PR=1.22; CI95% 1.09-1.36) and vegetables and greens (PR=1.24; CI95% 1.09-1.41). Black women with low education levels showed a negative association with the consumption of soda (PR=0.53; CI95% 0.45-0.62), and prepared food (PR=0.52; CI95% 0.37-0.74). The results reveal great inequalities in the purchase of food between the social profiles of the heads of the family.
8.
Mudanças na frequência do consumo de refeições em adolescentes residentes em área de vulnerabilidade social da região metropolitana do Rio de Janeiro, Brasil
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Maravalhas, Rebecca de Almeida
; Santana, Danilo Dias
; Salles-Costa, Rosana
; Veiga, Gloria Valeria da
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
Resumo O objetivo deste estudo foi descrever as mudanças na frequência do consumo de refeições de adolescentes residentes na região metropolitana do Rio de Janeiro, em período de 5 anos. Utilizaram-se dados de dois estudos transversais, de base populacional, que foram realizados por meio de visitas domiciliares. Em 2005, a amostra final foi de 1089 domicílios com 511 adolescentes (de 12 a 18 anos), e em 2010 de 1121 domicílios com 314 adolescentes. A frequência do consumo de refeições foi obtida por meio de questionário autopreenchido e a avaliação da adequação de peso dos adolescentes foi realizada com base nos pontos de corte do IMC por sexo e faixa etária. Houve aumento da substituição diária do almoço tradicional por lanche (3,7% para 13,7%) e no consumo do jantar tradicional (62,9% para 72,0%). Os adolescentes com sobrepeso consumiram o desjejum com menor frequência do que aqueles sem sobrepeso (2005: 68,3% vs 79,3% p=0,02, 2010: 59,5% vs 77,4% p=0,03). Conclui-se que houve aumento da substituição diária do almoço tradicional por lanche e no consumo do jantar tradicional no período de 5 anos. Ademais, a prática do desjejum diário se associou com a classificação de IMC nos dois momentos do estudo, de modo que aqueles com sobrepeso consomem o desjejum com menor frequência.
Abstract This study described changes in meal frequency over a 5-year period among adolescents living in the Rio de Janeiro metropolitan region. The data used were from two cross-sectional, population-based studies conducted by home visits. In 2005 the final sample was 1089 households with 511 adolescents (aged 12 to 18 years) and in 2010, 1121 households with 314 adolescents. Meal frequency was obtained through self-administered questionnaire and the adolescents were assessed for appropriate weight by BMI cut-off points, by sex and age group. Increasingly, traditional daily lunch was replaced by snacks (from 3.7% to 13.7%) and traditional dinner was eaten (62.9% to 72.0%). Overweight adolescents ate breakfast less often than those not overweight (in 2005, 68.3% and 79.3%, p=0.02 and, in 2010, 59.5% and 77.4%, p=0.03). Traditional daily lunch was increasingly replaced by snacks and consumption of traditional dinner increased over the 5-year period. Also, eating breakfast every day was associated with BMI classification at both study times: those who were overweight consumed breakfast less frequently.
9.
Mudanças na frequência do consumo de refeições em adolescentes residentes em área de vulnerabilidade social da região metropolitana do Rio de Janeiro, Brasil
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Maravalhas, Rebecca de Almeida
; Santana, Danilo Dias
; Salles-Costa, Rosana
; Veiga, Gloria Valeria da
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
Resumo O objetivo deste estudo foi descrever as mudanças na frequência do consumo de refeições de adolescentes residentes na região metropolitana do Rio de Janeiro, em período de 5 anos. Utilizaram-se dados de dois estudos transversais, de base populacional, que foram realizados por meio de visitas domiciliares. Em 2005, a amostra final foi de 1089 domicílios com 511 adolescentes (de 12 a 18 anos), e em 2010 de 1121 domicílios com 314 adolescentes. A frequência do consumo de refeições foi obtida por meio de questionário autopreenchido e a avaliação da adequação de peso dos adolescentes foi realizada com base nos pontos de corte do IMC por sexo e faixa etária. Houve aumento da substituição diária do almoço tradicional por lanche (3,7% para 13,7%) e no consumo do jantar tradicional (62,9% para 72,0%). Os adolescentes com sobrepeso consumiram o desjejum com menor frequência do que aqueles sem sobrepeso (2005: 68,3% vs 79,3% p=0,02, 2010: 59,5% vs 77,4% p=0,03). Conclui-se que houve aumento da substituição diária do almoço tradicional por lanche e no consumo do jantar tradicional no período de 5 anos. Ademais, a prática do desjejum diário se associou com a classificação de IMC nos dois momentos do estudo, de modo que aqueles com sobrepeso consomem o desjejum com menor frequência.
Abstract This study described changes in meal frequency over a 5-year period among adolescents living in the Rio de Janeiro metropolitan region. The data used were from two cross-sectional, population-based studies conducted by home visits. In 2005 the final sample was 1089 households with 511 adolescents (aged 12 to 18 years) and in 2010, 1121 households with 314 adolescents. Meal frequency was obtained through self-administered questionnaire and the adolescents were assessed for appropriate weight by BMI cut-off points, by sex and age group. Increasingly, traditional daily lunch was replaced by snacks (from 3.7% to 13.7%) and traditional dinner was eaten (62.9% to 72.0%). Overweight adolescents ate breakfast less often than those not overweight (in 2005, 68.3% and 79.3%, p=0.02 and, in 2010, 59.5% and 77.4%, p=0.03). Traditional daily lunch was increasingly replaced by snacks and consumption of traditional dinner increased over the 5-year period. Also, eating breakfast every day was associated with BMI classification at both study times: those who were overweight consumed breakfast less frequently.
10.
Interseções de gênero e raça/cor em insegurança alimentar nos domicílios das diferentes regiões do Brasil raçacor raça cor
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Santos, Lissandra Amorim
; Ferreira, Aline Alves
; Pérez-Escamilla, Rafael
; Sabino, Lia Lucia
; Oliveira, Livia Gomes de
; Salles-Costa, Rosana
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
La inseguridad alimentaria y sus determinantes está distribuida desigualmente por las macrorregiones de Brasil. El objetivo de este estudio fue investigar las intersecciones de género y raza/color de piel de la persona de referencia en la ocurrencia de inseguridad alimentaria en hogares de diferentes regiones brasileñas. Se utilizaron microdatos de la Encuesta de Presupuestos Familiares (POF) de 2018 de una muestra de 57.920 hogares. Se consideraron los niveles de inseguridad alimentaria con relación a los perfiles creados desde la intersección de género (hombre y mujer) y raza/color de piel: hombre blanco, mujer blanca, hombre pardo, mujer parda, hombre negro y mujer negra. Las razones de prevalencia (RP) se estimaron por modelos de regresión de Poisson para evaluar la asociación de los perfiles con inseguridad alimentaria moderada/grave, estratificados por macrorregión. La Región Norte tuvo las peores proporciones en todos los niveles de inseguridad alimentaria (57%), seguida del Nordeste (50,4%). Las regiones Norte, Nordeste y Centro-oeste mostraron prevalencias moderada/grave de inseguridad alimentaria hasta 5 veces mayores entre los hogares con mujeres como jefas del hogar en comparación con los hogares liderados por hombres (p < 0,001). La inseguridad alimentaria moderada/grave se asoció más en los hogares donde las mujeres negras eran las jefas del hogar en todas las macrorregiones de Brasil, sin embargo, en el Sudeste la RP fue mayor en comparación con las demás regiones para las mujeres pardas (RP = 1,16; IC95%: 1,13-1,20), mientras que en la Región Sur la RP fue mayor para las mujeres negras (RP = 1,17; IC95%: 1,13-1,21). Los hallazgos sugieren que el debate interseccional sobre los datos de inseguridad alimentaria en Brasil, considerando el género, la raza/color de piel y la región de residencia, debe agregarse al tema de las políticas destinadas a reducir la inseguridad alimentaria y sus inequidades asociadas. Brasil razacolor raza color brasileñas POF (POF 201 57920 57 920 57.92 blanco blanca pardo parda negra moderadagrave moderada grave macrorregión 57%, 57% , (57%) 50,4%. 504 50,4% . 50 4 (50,4%) Centrooeste Centro oeste p 0,001. 0001 0,001 0 001 0,001) embargo 1,16 116 1 16 IC95% IC95 IC 1,131,20, 113120 1,13 1,20 13 20 1,13-1,20) 1,17 117 17 1,131,21. 113121 1,21 21 1,13-1,21) residencia asociadas 5792 92 57.9 (57% 50,4 (50,4% 000 0,00 00 1,1 11 IC9 131 1,131,20 11312 113 120 1,2 2 1,13-1,20 1,131,21 121 1,13-1,21 579 9 57. (57 50, (50,4 0,0 1, 1,131,2 1131 12 1,13-1,2 (5 (50, 0, 1,131, 1,13-1, ( (50 1,131 1,13-1 1,13-
Food insecurity is distributed unequally throughout Brazilian regions. This study aims to investigate the intersections of gender and skin color/race in the cases of food insecurity in households across Brazil. Microdata from the 2018 Brazilian Household Budgets Survey (POF) were used, with a sample of 57,920 households. Food insecurity levels were compared to profiles created from the intersection of gender (man and woman) and skin color/race: white man, white woman, mixed-race man, mixed-race woman, black man, and black woman. Prevalence ratios (PR) were estimated using Poisson regression models to investigate the association of profiles with moderate/severe food insecurity, separated by macroregion. The North had the worst proportions of all food insecurity levels (57%), followed by Northeast (50.4%). The North, Northeast, and Central-West macroregions had prevalence of moderate/severe food insecurity up to five times higher among households headed by women compared to those headed by men (p < 0.001). Moderate/severe food insecurity was associated to households headed by black women in all macroregions of Brazil, but prevalence ratios in Southeast were higher compared to other regions for mixed-race women (PR = 1.16; 95%CI: 1.13-1.20), while the PR was higher in South for black women (PR = 1.17; 95%CI: 1.13-1.21). Outcomes suggest that the intersectional food insecurity data in Brazil - focused on gender, skin color/race and macroregion of residence - should be considered for policies aimed at reducing hunger and related issues. colorrace color race 201 POF (POF used 57920 57 920 57,92 man woman mixedrace mixed moderatesevere moderate severe 57%, 57% , (57%) 50.4%. 504 50.4% . 50 4 (50.4%) CentralWest Central West p 0.001. 0001 0.001 0 001 0.001) Moderatesevere Moderate 1.16 116 1 16 95%CI 95CI CI 95 1.131.20, 113120 1.13 1.20 13 20 1.13-1.20) 1.17 117 17 1.131.21. 113121 1.21 21 1.13-1.21) issues 5792 5 92 57,9 (57% 50.4 (50.4% 000 0.00 00 1.1 11 9 131 1.131.20 11312 113 120 1.2 2 1.13-1.20 1.131.21 121 1.13-1.21 579 57, (57 50. (50.4 0.0 1. 1.131.2 1131 12 1.13-1.2 (5 (50. 0. 1.131. 1.13-1. ( (50 1.131 1.13-1 1.13-
A insegurança alimentar e seus determinantes se distribuem de forma desigual entre as macrorregiões brasileiras. O objetivo deste estudo foi investigar as intersecções de gênero e raça/cor da pessoa de referência na ocorrência de insegurança alimentar em domicílios nas diferentes regiões do Brasil. Foram utilizados os microdados da Pesquisa de Orçamentos Familiares (POF) de 2018, com amostra de 57.920 domicílios. Os níveis de insegurança alimentar foram considerados com análises em relação aos perfis criados a partir da intersecção do gênero (homem e mulher) e raça/cor: homem branco, mulher branca, homem pardo, mulher parda, homem preto e mulher preta. Razões de prevalência (RP) foram estimadas por meio de modelos de regressão de Poisson para investigar a associação dos perfis com a insegurança alimentar moderada/grave, estratificados por macrorregião. O Norte apresentou as piores proporções de todos os níveis de insegurança alimentar (57%), seguido do Nordeste (50,4%). As regiões Norte, Nordeste e Centro-oeste apresentaram prevalência de insegurança alimentar moderada/grave até 5 vezes maior entre domicílios chefiados por mulheres comparados aos chefiados por homens (p < 0,001). A insegurança alimentar moderada/grave esteve mais associada aos domicílios chefiados pelas mulheres negras em todas as macrorregiões do Brasil, porém, no Sudeste, a RP foi mais elevada, quando comparada às demais regiões, para a mulher parda (RP = 1,16; IC95%: 1,13-1,20), enquanto na Região Sul a RP foi maior para a mulher preta (RP = 1,17; IC95%: 1,13-1,21). Os achados sugerem que o debate interseccional sobre os dados de insegurança alimentar no Brasil, considerando o gênero, a raça/cor da pele e a região de residência, deve ser somado ao tema das políticas voltadas para redução da insegurança alimentar e das iniquidades relacionadas. brasileiras raçacor raça cor Brasil POF (POF 2018 57920 57 920 57.92 branco branca pardo moderadagrave moderada grave macrorregião 57%, 57% , (57%) 50,4%. 504 50,4% . 50 4 (50,4%) Centrooeste Centro oeste p 0,001. 0001 0,001 0 001 0,001) porém Sudeste elevada 1,16 116 1 16 IC95% IC95 IC 1,131,20, 113120 1,13 1,20 13 20 1,13-1,20) 1,17 117 17 1,131,21. 113121 1,21 21 1,13-1,21) residência relacionadas 201 5792 92 57.9 (57% 50,4 (50,4% 000 0,00 00 1,1 11 IC9 131 1,131,20 11312 113 120 1,2 2 1,13-1,20 1,131,21 121 1,13-1,21 579 9 57. (57 50, (50,4 0,0 1, 1,131,2 1131 12 1,13-1,2 (5 (50, 0, 1,131, 1,13-1, ( (50 1,131 1,13-1 1,13-
11.
Acesso aos benefícios e programas governamentais e insegurança alimentar nas áreas rurais e urbanas do Nordeste brasileiro
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Resumo O trabalho analisa a insegurança alimentar (IA) nas áreas urbana e rural da região Nordeste do Brasil e sua associação com fatores sociais e o acesso a benefícios/programas governamentais. Foram avaliados dados sobre IA da Pesquisa de Orçamentos Familiares (2017-2018), considerando variáveis socioeconômicas e o acesso a benefícios/programas governamentais de transferência de renda (Bolsa Família, Benefício de Prestação Continuada, Cartão Alimentação e Cesta de Alimentos). Modelos de regressão logística multinomial tendo IA como desfecho foram utilizados para avaliar a relação com os programas governamentais. Metade das famílias se encontrava em IA, sendo maior a prevalência e gravidade nos domicílios rurais. A composição da família por ao menos um indivíduo aposentado reduziu significativamente a probabilidade de ocorrência dos níveis mais severos da IA. O acesso à Cesta de Alimentos (em dinheiro) e ao Bolsa Família associou-se como fator de proteção para a IA grave na área rural; na área urbana, o benefício Cartão Alimentação foi o principal fator de proteção. Programas de transferência de renda e o acesso a benefícios sociais contribuíram para o enfrentamento da IA, destacando a relevância da manutenção e ampliação dessas iniciativas para populações vulnerabilizadas.
Abstract This paper analyzes food insecurity (FI) in urban and rural areas of the Northeast region of Brazil associated with certain social determinants and access to governmental benefits/programs. Data about FI from the National Household Budget Survey (2017-2018) were analyzed, including socio-economic variables and access to government benefits/programs of supplemental income (Bolsa Família, Ongoing transfer benefits, Food voucher and Food basket). Multinomial logistic regression models were performed to assess the relationship between FI and access to government programs/benefits. Half of the families in the Northeast were classified as being subject to FI, the prevalence and severity being higher in rural households. The composition of the family, with at least one retired individual, significantly reduced the probability of being FI at all levels of severity. Access to the Food basket (in cash) benefit and Bolsa Família was associated with being a factor of protection against severe FI in rural areas, while in urban areas the food voucher benefit was the main factor of protection. Income transfer programs and access to social benefits contribute to combatting FI, highlighting the importance of maintaining and scaling-up these initiatives for vulnerable populations.
12.
Acesso aos benefícios e programas governamentais e insegurança alimentar nas áreas rurais e urbanas do Nordeste brasileiro
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Resumo O trabalho analisa a insegurança alimentar (IA) nas áreas urbana e rural da região Nordeste do Brasil e sua associação com fatores sociais e o acesso a benefícios/programas governamentais. Foram avaliados dados sobre IA da Pesquisa de Orçamentos Familiares (2017-2018), considerando variáveis socioeconômicas e o acesso a benefícios/programas governamentais de transferência de renda (Bolsa Família, Benefício de Prestação Continuada, Cartão Alimentação e Cesta de Alimentos). Modelos de regressão logística multinomial tendo IA como desfecho foram utilizados para avaliar a relação com os programas governamentais. Metade das famílias se encontrava em IA, sendo maior a prevalência e gravidade nos domicílios rurais. A composição da família por ao menos um indivíduo aposentado reduziu significativamente a probabilidade de ocorrência dos níveis mais severos da IA. O acesso à Cesta de Alimentos (em dinheiro) e ao Bolsa Família associou-se como fator de proteção para a IA grave na área rural; na área urbana, o benefício Cartão Alimentação foi o principal fator de proteção. Programas de transferência de renda e o acesso a benefícios sociais contribuíram para o enfrentamento da IA, destacando a relevância da manutenção e ampliação dessas iniciativas para populações vulnerabilizadas.
Abstract This paper analyzes food insecurity (FI) in urban and rural areas of the Northeast region of Brazil associated with certain social determinants and access to governmental benefits/programs. Data about FI from the National Household Budget Survey (2017-2018) were analyzed, including socio-economic variables and access to government benefits/programs of supplemental income (Bolsa Família, Ongoing transfer benefits, Food voucher and Food basket). Multinomial logistic regression models were performed to assess the relationship between FI and access to government programs/benefits. Half of the families in the Northeast were classified as being subject to FI, the prevalence and severity being higher in rural households. The composition of the family, with at least one retired individual, significantly reduced the probability of being FI at all levels of severity. Access to the Food basket (in cash) benefit and Bolsa Família was associated with being a factor of protection against severe FI in rural areas, while in urban areas the food voucher benefit was the main factor of protection. Income transfer programs and access to social benefits contribute to combatting FI, highlighting the importance of maintaining and scaling-up these initiatives for vulnerable populations.
13.
Regional and social inequalities in food insecurity in Brazil, 2013-2018
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Cherol, Camilla Christine de Souza
; Ferreira, Aline Alves
; Lignani, Juliana de Bem
; Salles-Costa, Rosana
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
Este artigo tem como objetivo analisar a associação entre indicadores sociais e o agravamento da insegurança alimentar entre 2013 e 2018 em diferentes regiões do Brasil. Foram analisados dados da Pesquisa Nacional por Amostra de Domicílios (2013) e da Pesquisa de Orçamentos Familiares (2018). Foram investigadas amostras nacionalmente representativas de 110.750 e 57.920 domicílios, respectivamente. A insegurança alimentar foi avaliada pela Escala Brasileira de Insegurança Alimentar, estimando as variações percentuais nos níveis de insegurança alimentar entre dois períodos (2013 e 2018), segundo variáveis sociodemográficas. A associação entre indicadores sociais e insegurança alimentar desagregada por região foi estimada através de modelos de regressão logística multinomial. Apesar de o Norte e o Nordeste terem as maiores proporções de insegurança alimentar, o Sudeste e o Centro-oeste foram as regiões com maior aumento da insegurança alimentar durante os mesmos períodos. A renda foi o indicador com maior associação com insegurança alimentar, tanto nas pesquisas de 2013 quanto em 2018. Observou-se também a associação da presença de três ou mais moradores menores de 18 anos com maior risco de insegurança alimentar no Norte e no Sul. O aumento da insegurança alimentar durante a crise econômica brasileira ocorreu de forma desigual entre as regiões, além de ter sido maior entre as famílias com piores condições de vida econômica e social, o que reforçou a desigualdade regional, contribuindo para a desigualdade social no país. Reforça-se a necessidade de fortalecer políticas públicas de promoção da segurança alimentar e nutricional, de acordo com as iniquidades sociais regionais.
This study aims to analyze the association between social indicators and the worsening of food insecurity in 2013 and 2018 in different regions of Brazil. Data from the Brazilian National Household Sample Survey (2013) and Brazilian Household Budgets Survey (2018) were analyzed, considering nationally representative samples of 110,750 and 57,920 households, respectively. Food insecurity was assessed using the Brazilian Food Insecurity Scale by estimating the percentage changes in food insecurity levels between 2013 and 2018, according to sociodemographic variables. The association between social indicators and food insecurity disaggregated by region was estimated using multinomial logistic regression models. Although North and Northeast regions had higher proportions of food insecurity, the Southeast and Central-West regions had the highest increase in food insecurity in the same periods. Income was the indicator with the highest association with food insecurity both in 2013 and 2018. We also observed the association between the presence of three or more residents aged under 18 in a household and a higher risk of food insecurity in North and South regions. Food insecurity increased unevenly among regions during the Brazilian economic crisis, which reinforced regional inequality. Moreover, food insecurity was greater among households with worse social and economic living conditions, contributing to social inequality in the country. Thus, strengthening public policies to promote food security and nutrition according to regional social inequities is necessary.
Este artículo tiene como objetivo analizar la asociación de los indicadores sociales con el empeoramiento de la inseguridad alimentaria entre 2013 y 2018 en diferentes regiones de Brasil. Se analizaron datos de corte transversal de la Encuesta Nacional por Muestra de Domicilios (2013) y de la Encuesta de Presupuestos Familiares (2018). Se investigaron muestras representativas a nivel nacional de 110.750 y 57.920 hogares, respectivamente. La inseguridad alimentaria se evaluó mediante la Escala Brasileña de Inseguridad Alimentaria, estimando los cambios porcentuales en los niveles de inseguridad alimentaria entre dos períodos (2013 y 2018), según las variables sociodemográficas. La asociación de los indicadores sociales con la inseguridad alimentaria desagregada por regiones se estimó mediante modelos de regresión logística multinomial. A pesar de que el Norte y el Nordeste tenían las proporciones más altas de inseguridad alimentaria, el Sudeste y el Centro-oeste fueron las regiones con el mayor aumento de la inseguridad alimentaria en los mismos períodos. Los ingresos fueron el indicador con mayor asociación con la inseguridad alimentaria, tanto en las encuestas de 2013 como en las de 2018. También se observó la asociación de la presencia de tres o más residentes menores de 18 años con el mayor riesgo de inseguridad alimentaria en el Norte y en el Sur. El aumento de la inseguridad alimentaria durante la crisis económica brasileña se produjo de forma desigual entre las regiones y reforzó la desigualdad regional, además de haber sido mayor entre las familias con peores condiciones de vida social y económica, contribuyendo a la desigualdad social en el país. Se refuerza la necesidad de fortalecer las políticas públicas para promover la seguridad alimentaria y la nutrición, según las iniquidades sociales regionales.
14.
Regional and social inequalities in food insecurity in Brazil, 2013-2018
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Cherol, Camilla Christine de Souza
; Ferreira, Aline Alves
; Lignani, Juliana de Bem
; Salles-Costa, Rosana
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
Este artículo tiene como objetivo analizar la asociación de los indicadores sociales con el empeoramiento de la inseguridad alimentaria entre 2013 y 2018 en diferentes regiones de Brasil. Se analizaron datos de corte transversal de la Encuesta Nacional por Muestra de Domicilios (2013) y de la Encuesta de Presupuestos Familiares (2018). Se investigaron muestras representativas a nivel nacional de 110.750 y 57.920 hogares, respectivamente. La inseguridad alimentaria se evaluó mediante la Escala Brasileña de Inseguridad Alimentaria, estimando los cambios porcentuales en los niveles de inseguridad alimentaria entre dos períodos (2013 y 2018), según las variables sociodemográficas. La asociación de los indicadores sociales con la inseguridad alimentaria desagregada por regiones se estimó mediante modelos de regresión logística multinomial. A pesar de que el Norte y el Nordeste tenían las proporciones más altas de inseguridad alimentaria, el Sudeste y el Centro-oeste fueron las regiones con el mayor aumento de la inseguridad alimentaria en los mismos períodos. Los ingresos fueron el indicador con mayor asociación con la inseguridad alimentaria, tanto en las encuestas de 2013 como en las de 2018. También se observó la asociación de la presencia de tres o más residentes menores de 18 años con el mayor riesgo de inseguridad alimentaria en el Norte y en el Sur. El aumento de la inseguridad alimentaria durante la crisis económica brasileña se produjo de forma desigual entre las regiones y reforzó la desigualdad regional, además de haber sido mayor entre las familias con peores condiciones de vida social y económica, contribuyendo a la desigualdad social en el país. Se refuerza la necesidad de fortalecer las políticas públicas para promover la seguridad alimentaria y la nutrición, según las iniquidades sociales regionales.
Este artigo tem como objetivo analisar a associação entre indicadores sociais e o agravamento da insegurança alimentar entre 2013 e 2018 em diferentes regiões do Brasil. Foram analisados dados da Pesquisa Nacional por Amostra de Domicílios (2013) e da Pesquisa de Orçamentos Familiares (2018). Foram investigadas amostras nacionalmente representativas de 110.750 e 57.920 domicílios, respectivamente. A insegurança alimentar foi avaliada pela Escala Brasileira de Insegurança Alimentar, estimando as variações percentuais nos níveis de insegurança alimentar entre dois períodos (2013 e 2018), segundo variáveis sociodemográficas. A associação entre indicadores sociais e insegurança alimentar desagregada por região foi estimada através de modelos de regressão logística multinomial. Apesar de o Norte e o Nordeste terem as maiores proporções de insegurança alimentar, o Sudeste e o Centro-oeste foram as regiões com maior aumento da insegurança alimentar durante os mesmos períodos. A renda foi o indicador com maior associação com insegurança alimentar, tanto nas pesquisas de 2013 quanto em 2018. Observou-se também a associação da presença de três ou mais moradores menores de 18 anos com maior risco de insegurança alimentar no Norte e no Sul. O aumento da insegurança alimentar durante a crise econômica brasileira ocorreu de forma desigual entre as regiões, além de ter sido maior entre as famílias com piores condições de vida econômica e social, o que reforçou a desigualdade regional, contribuindo para a desigualdade social no país. Reforça-se a necessidade de fortalecer políticas públicas de promoção da segurança alimentar e nutricional, de acordo com as iniquidades sociais regionais.
This study aims to analyze the association between social indicators and the worsening of food insecurity in 2013 and 2018 in different regions of Brazil. Data from the Brazilian National Household Sample Survey (2013) and Brazilian Household Budgets Survey (2018) were analyzed, considering nationally representative samples of 110,750 and 57,920 households, respectively. Food insecurity was assessed using the Brazilian Food Insecurity Scale by estimating the percentage changes in food insecurity levels between 2013 and 2018, according to sociodemographic variables. The association between social indicators and food insecurity disaggregated by region was estimated using multinomial logistic regression models. Although North and Northeast regions had higher proportions of food insecurity, the Southeast and Central-West regions had the highest increase in food insecurity in the same periods. Income was the indicator with the highest association with food insecurity both in 2013 and 2018. We also observed the association between the presence of three or more residents aged under 18 in a household and a higher risk of food insecurity in North and South regions. Food insecurity increased unevenly among regions during the Brazilian economic crisis, which reinforced regional inequality. Moreover, food insecurity was greater among households with worse social and economic living conditions, contributing to social inequality in the country. Thus, strengthening public policies to promote food security and nutrition according to regional social inequities is necessary.
15.
Interseções de gênero e raça/cor em insegurança alimentar nos domicílios das diferentes regiões do Brasil
Facebook Twitter
![CC-BY/4.0](https://search.scielo.org/static/image/open-access-icon.png)
Facebook Twitter
- Other social networks
- Google+
- StambleUpon
- CiteULike
- Mendeley
- Other networks
- Metrics
Santos, Lissandra Amorim
; Ferreira, Aline Alves
; Pérez-Escamilla, Rafael
; Sabino, Lia Lucia
; Oliveira, Livia Gomes de
; Salles-Costa, Rosana
.
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
![ORCID](https://search.scielo.org/static/image/authorIcon-orcid.png)
Food insecurity is distributed unequally throughout Brazilian regions. This study aims to investigate the intersections of gender and skin color/race in the cases of food insecurity in households across Brazil. Microdata from the 2018 Brazilian Household Budgets Survey (POF) were used, with a sample of 57,920 households. Food insecurity levels were compared to profiles created from the intersection of gender (man and woman) and skin color/race: white man, white woman, mixed-race man, mixed-race woman, black man, and black woman. Prevalence ratios (PR) were estimated using Poisson regression models to investigate the association of profiles with moderate/severe food insecurity, separated by macroregion. The North had the worst proportions of all food insecurity levels (57%), followed by Northeast (50.4%). The North, Northeast, and Central-West macroregions had prevalence of moderate/severe food insecurity up to five times higher among households headed by women compared to those headed by men (p < 0.001). Moderate/severe food insecurity was associated to households headed by black women in all macroregions of Brazil, but prevalence ratios in Southeast were higher compared to other regions for mixed-race women (PR = 1.16; 95%CI: 1.13-1.20), while the PR was higher in South for black women (PR = 1.17; 95%CI: 1.13-1.21). Outcomes suggest that the intersectional food insecurity data in Brazil - focused on gender, skin color/race and macroregion of residence - should be considered for policies aimed at reducing hunger and related issues.
A insegurança alimentar e seus determinantes se distribuem de forma desigual entre as macrorregiões brasileiras. O objetivo deste estudo foi investigar as intersecções de gênero e raça/cor da pessoa de referência na ocorrência de insegurança alimentar em domicílios nas diferentes regiões do Brasil. Foram utilizados os microdados da Pesquisa de Orçamentos Familiares (POF) de 2018, com amostra de 57.920 domicílios. Os níveis de insegurança alimentar foram considerados com análises em relação aos perfis criados a partir da intersecção do gênero (homem e mulher) e raça/cor: homem branco, mulher branca, homem pardo, mulher parda, homem preto e mulher preta. Razões de prevalência (RP) foram estimadas por meio de modelos de regressão de Poisson para investigar a associação dos perfis com a insegurança alimentar moderada/grave, estratificados por macrorregião. O Norte apresentou as piores proporções de todos os níveis de insegurança alimentar (57%), seguido do Nordeste (50,4%). As regiões Norte, Nordeste e Centro-oeste apresentaram prevalência de insegurança alimentar moderada/grave até 5 vezes maior entre domicílios chefiados por mulheres comparados aos chefiados por homens (p < 0,001). A insegurança alimentar moderada/grave esteve mais associada aos domicílios chefiados pelas mulheres negras em todas as macrorregiões do Brasil, porém, no Sudeste, a RP foi mais elevada, quando comparada às demais regiões, para a mulher parda (RP = 1,16; IC95%: 1,13-1,20), enquanto na Região Sul a RP foi maior para a mulher preta (RP = 1,17; IC95%: 1,13-1,21). Os achados sugerem que o debate interseccional sobre os dados de insegurança alimentar no Brasil, considerando o gênero, a raça/cor da pele e a região de residência, deve ser somado ao tema das políticas voltadas para redução da insegurança alimentar e das iniquidades relacionadas.
La inseguridad alimentaria y sus determinantes está distribuida desigualmente por las macrorregiones de Brasil. El objetivo de este estudio fue investigar las intersecciones de género y raza/color de piel de la persona de referencia en la ocurrencia de inseguridad alimentaria en hogares de diferentes regiones brasileñas. Se utilizaron microdatos de la Encuesta de Presupuestos Familiares (POF) de 2018 de una muestra de 57.920 hogares. Se consideraron los niveles de inseguridad alimentaria con relación a los perfiles creados desde la intersección de género (hombre y mujer) y raza/color de piel: hombre blanco, mujer blanca, hombre pardo, mujer parda, hombre negro y mujer negra. Las razones de prevalencia (RP) se estimaron por modelos de regresión de Poisson para evaluar la asociación de los perfiles con inseguridad alimentaria moderada/grave, estratificados por macrorregión. La Región Norte tuvo las peores proporciones en todos los niveles de inseguridad alimentaria (57%), seguida del Nordeste (50,4%). Las regiones Norte, Nordeste y Centro-oeste mostraron prevalencias moderada/grave de inseguridad alimentaria hasta 5 veces mayores entre los hogares con mujeres como jefas del hogar en comparación con los hogares liderados por hombres (p < 0,001). La inseguridad alimentaria moderada/grave se asoció más en los hogares donde las mujeres negras eran las jefas del hogar en todas las macrorregiones de Brasil, sin embargo, en el Sudeste la RP fue mayor en comparación con las demás regiones para las mujeres pardas (RP = 1,16; IC95%: 1,13-1,20), mientras que en la Región Sur la RP fue mayor para las mujeres negras (RP = 1,17; IC95%: 1,13-1,21). Los hallazgos sugieren que el debate interseccional sobre los datos de inseguridad alimentaria en Brasil, considerando el género, la raza/color de piel y la región de residencia, debe agregarse al tema de las políticas destinadas a reducir la inseguridad alimentaria y sus inequidades asociadas.
Showing
itens per page
Page
of 4
Next
Statistics of
Send result
Sem resultados
No documents were found for your search
Glossary and search help
You can enrich your search in a very simple way. Use the search indexes combined with the connectors (AND or OR) and specify more your search.
For example, if you want to search for articles about
cases of dengue in Brasil in 2015, use:ti:dengue and publication_year:2015 and aff_country:Brasil
See below the complete list of search indexes that can be used:
Index code | Element |
---|---|
ti | article title |
au | author |
kw | article keywords |
subject | subject (title words, abstract and keywords) |
ab | abstract |
ta | journal short title (e.g. Cad. Saúde Pública) |
journal_title | journal full title (e.g. Cadernos de Saúde Pública) |
la | publication language code (e.g. pt - Portuguese, es - Spanish) |
type | document type |
pid | publication identifier |
publication_year | publication year of publication |
sponsor | sponsor |
aff_country | country code of the author's affiliation |
aff_institution | author affiliation institution |
volume | article volume |
issue | article issue |
elocation | elocation |
doi | DOI number |
issn | journal ISSN |
in | SciELO colection code (e.g. scl - Brasil, col - Colômbia) |
use_license | article usage license code |