Resumo O objetivo deste artigo é estimar os efeitos dos sintomas de transtornos mentais na gravidez (sintomas depressivos, ansiedade e estresse) no ganho de peso gestacional. Estudo longitudinal, realizado com dados da Coorte de nascimento BRISA, iniciada em 2010 em São Luís, Maranhão. O ganho de peso gestacional foi classificado de acordo com Institute of Medicine. A variável independente foi um construto (variável latente) nomeado de sintomas de transtornos mentais, englobando as variáveis sintomas depressivos, a ansiedade e os sintomas estressantes (todas de forma contínua). Utilizou-se modelagem de equações estruturais, a fim de investigar a associação entre a saúde mental e ganho de peso. Em relação a associação entre sintomas de transtornos mentais e ganho de peso na gestação, não se encontrou efeito total (CP=0,043; p=0,377). Em relação aos efeitos indiretos, também não se encontrou efeito através dos comportamentos de risco (CP=0,03; p=0,368) e através da atividade física (CP=0,00; p=0,974). Finalmente os dados não evidenciaram efeito direto dos sintomas de transtornos mentais durante a gravidez como o ganho de peso gestacional (CP=0,050; p=0,404). O ganho de peso gestacional não apresentou efeito direto, indireto e total nos sintomas de transtornos mentais de gestantes.

Abstract The scope of this article is to estimate the effects of symptoms of mental disorders during pregnancy (depressive symptoms, anxiety and stress) on gestational weight gain (kg). It is a longitudinal study, carried out with data from the BRISA Birth Cohort, which was launched in 2010 in São Luís, Maranhão. Gestational weight gain was classified according to the Institute of Medicine. The independent variable was a construct (latent variable) referred to as symptoms of mental disorders, made up of the depressive symptoms, anxiety and stressful symptoms variables (all on an ongoing basis). Structural equation modeling was used to investigate the association between mental health and weight gain. Regarding the association between symptoms of mental disorders and weight gain during pregnancy, no total effect was found (PC=0.043; p=0.377). Regarding indirect effects, no effect was found either through risk behaviors (PC=0.03; p=0.368) or through physical activity (PC=0.00; p=0.974). Finally, the data did not show a direct effect of symptoms of mental disorders during pregnancy such as gestational weight gain (PC=0.050; p=0.404). Gestational weight gain had no direct, indirect or total effect on symptoms of mental disorders in pregnant women.

Resumo O objetivo deste artigo é estimar os efeitos dos sintomas de transtornos mentais na gravidez (sintomas depressivos, ansiedade e estresse) no ganho de peso gestacional. Estudo longitudinal, realizado com dados da Coorte de nascimento BRISA, iniciada em 2010 em São Luís, Maranhão. O ganho de peso gestacional foi classificado de acordo com Institute of Medicine. A variável independente foi um construto (variável latente) nomeado de sintomas de transtornos mentais, englobando as variáveis sintomas depressivos, a ansiedade e os sintomas estressantes (todas de forma contínua). Utilizou-se modelagem de equações estruturais, a fim de investigar a associação entre a saúde mental e ganho de peso. Em relação a associação entre sintomas de transtornos mentais e ganho de peso na gestação, não se encontrou efeito total (CP=0,043; p=0,377). Em relação aos efeitos indiretos, também não se encontrou efeito através dos comportamentos de risco (CP=0,03; p=0,368) e através da atividade física (CP=0,00; p=0,974). Finalmente os dados não evidenciaram efeito direto dos sintomas de transtornos mentais durante a gravidez como o ganho de peso gestacional (CP=0,050; p=0,404). O ganho de peso gestacional não apresentou efeito direto, indireto e total nos sintomas de transtornos mentais de gestantes. depressivos estresse longitudinal BRISA 201 Luís Maranhão Medicine latente todas contínua. contínua . contínua) Utilizouse Utilizou estruturais gestação CP=0,043 CP0043 CP 0 043 (CP=0,043 p=0,377. p0377 p p=0,377 377 p=0,377) indiretos CP=0,03 CP003 03 (CP=0,03 p=0,368 p0368 368 CP=0,00 CP000 00 (CP=0,00 p=0,974. p0974 p=0,974 974 p=0,974) CP=0,050 CP0050 050 (CP=0,050 p=0,404. p0404 p=0,404 404 p=0,404) gestantes 20 CP=0,04 CP004 04 (CP=0,04 p037 p=0,37 37 CP=0,0 CP00 (CP=0,0 p=0,36 p036 36 p097 p=0,97 97 CP=0,05 CP005 05 (CP=0,05 p040 p=0,40 40 2 p03 p=0,3 3 CP=0, CP0 (CP=0, p09 p=0,9 9 p04 p=0,4 4 p0 p=0, CP=0 (CP=0 p=0 CP= (CP= p= (CP

Abstract The scope of this article is to estimate the effects of symptoms of mental disorders during pregnancy (depressive symptoms, anxiety and stress) on gestational weight gain (kg). It is a longitudinal study, carried out with data from the BRISA Birth Cohort, which was launched in 2010 in São Luís, Maranhão. Gestational weight gain was classified according to the Institute of Medicine. The independent variable was a construct (latent variable) referred to as symptoms of mental disorders, made up of the depressive symptoms, anxiety and stressful symptoms variables (all on an ongoing basis). Structural equation modeling was used to investigate the association between mental health and weight gain. Regarding the association between symptoms of mental disorders and weight gain during pregnancy, no total effect was found (PC=0.043; p=0.377). Regarding indirect effects, no effect was found either through risk behaviors (PC=0.03; p=0.368) or through physical activity (PC=0.00; p=0.974). Finally, the data did not show a direct effect of symptoms of mental disorders during pregnancy such as gestational weight gain (PC=0.050; p=0.404). Gestational weight gain had no direct, indirect or total effect on symptoms of mental disorders in pregnant women. stress kg. kg . (kg) study Cohort 201 Luís Maranhão Medicine latent all basis. basis basis) PC=0.043 PC0043 PC 0 043 (PC=0.043 p=0.377. p0377 p p=0.377 377 p=0.377) PC=0.03 PC003 03 (PC=0.03 p=0.368 p0368 368 PC=0.00 PC000 00 (PC=0.00 p=0.974. p0974 p=0.974 974 p=0.974) Finally PC=0.050 PC0050 050 (PC=0.050 p=0.404. p0404 p=0.404 404 p=0.404) women (kg 20 PC=0.04 PC004 04 (PC=0.04 p037 p=0.37 37 PC=0.0 PC00 (PC=0.0 p=0.36 p036 36 p097 p=0.97 97 PC=0.05 PC005 05 (PC=0.05 p040 p=0.40 40 2 p03 p=0.3 3 PC=0. PC0 (PC=0. p09 p=0.9 9 p04 p=0.4 4 p0 p=0. PC=0 (PC=0 p=0 PC= (PC= p= (PC

ABSTRACT BACKGROUND: Multimorbidity can influence intensive care unit (ICU) admissions and deaths due to coronavirus disease (COVID-19). OBJECTIVE: To analyze the association between multimorbidity, ICU admissions, and deaths due to COVID-19 in Brazil. DESIGN AND SETTING: This cross-sectional study was conducted using data from patients with severe acute respiratory syndrome (SARS) due to COVID-19 recorded in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) in 2020. METHODS: Descriptive and stratified analyses of multimorbidity were performed based on sociodemographic, ventilatory support, and diagnostic variables. Poisson regression was used to estimate the prevalence ratios. RESULTS: We identified 671,593 cases of SARS caused by COVID-19, of which 62.4% had at least one morbidity. Multimorbidity was associated with male sex, age 60–70 and ≥ 80 years, brown and black skin color, elementary education and high school, ventilatory support, and altered radiologic exams. Moreover, all regions of the country and altered computed tomography due to COVID-19 or other diseases were associated with death; only the northeast region and higher education were associated with ICU admission. CONCLUSION: Our results showed an association between multimorbidity, ICU admission, and death in COVID-19 patients in Brazil. BACKGROUND (ICU COVID19. COVID19 COVID 19 . (COVID-19) OBJECTIVE COVID-1 Brazil SETTING crosssectional cross sectional (SARS SIVEPGripe SIVEP Gripe (SIVEP-Gripe 2020 METHODS sociodemographic support variables ratios RESULTS 671593 671 593 671,59 COVID19, 19, 624 62 4 62.4 morbidity sex 6070 60 70 60–7 8 years color school exams Moreover admission CONCLUSION COVID1 1 (COVID-19 COVID- 202 67159 67 59 671,5 6 62. 607 7 60– (COVID-1 20 6715 5 671, (COVID- 2 (COVID

Resumo Objetivos: estimar a associação entre a violência física contra a mulher durante a gravidez pelo parceiro íntimo e o aleitamento materno. Métodos: o estudo analisou os dados de 11.416 díades mãe-filho na Pesquisa Nacional de Demografa e Saúde (ENDS) realizada na Colômbia em 2010. Utilizou-se o escore de propensão com o Inverso da Probabilidade Ponderada do Tratamento (IPTW) para estimar o efeito da violência física contra a mulher pelo parceiro durante a gravidez e o aleitamento materno. Através de um Diagrama Acíclico Direcionado (DAG) foram selecionadas as variáveis para ajuste do modelo.Análise de sensibilidade foi realizada para identificar a presença de viés oculto. Resultados: segundo os dados analisados, 6,4% das mulheres sofreram violência física pelo parceiro durante a gravidez. O tempo mediano de aleitamento materno exclusivo foi de 1 mês. Não houve relação estatisticamente significante entre a violência física contra a mulher com os indicadores de aleitamento materno analisados: aleitamento materno exclusivo (OR= 1,17; IC95%= 0,82 – 1,67), aleitamento materno em algum momento (OR=1,61; IC95%= 0,58 – 2,60) e início do aleitamento materno (OR=1,07; IC95%= 0,74 – 1,2) Conclusão: embora não se tenha encontrado associação entre a violência física contra a mulher pelo parceiro durante a gravidez e o aleitamento materno, práticas insuficientes de aleitamento materno e a existência da violência contra a mulher pelo parceiro ainda permanecem como problemas de saúde pública na Colômbia. Os profissionais da assistência pré-natal podem mudar esse cenário, identificando mulheres expostas à violência praticada pelo parceiro íntimo e oferecendo suporte individualizado para as práticas de aleitamento materno.

Abstract Objectives: to estimate the association between physical violence against women by their intimate partner during pregnancy and breastfeeding. Methods: the data source is the 2010 National Demographic and Health Survey (DHS) conducted in Colombia, and 11,416 mother-child dyads were analysed. The relationship between physical violence against women by their partner during pregnancy and breastfeeding indicators was carried out using the weighted propensity score from the Inverse Probability of Treatment Weighting (IPTW). Variables for adjustment were selected through the Directed Acyclic Diagram (DAG) and performed a sensitivity analysis to identify the strength of hidden bias. Results: according to the data, 6.4% (730) of the women suffered physical violence by their partner during their pregnancy. The median time of exclusive breastfeeding was 1.0 month. No statistically significant relationship was observed with any of the breastfeeding indicators analysed: exclusive breastfeeding (OR=1.17; CI95%=0.82-1.67); breastfeeding at any time (OR=1.61; CI95%=0.58-2.60); and initiation of breastfeeding (OR=1.07; CI95%=0.74-1.2) Conclusion: although the association between violence against women committed during pregnancy and breastfeeding indicators was not found, the suboptimal breastfeeding practices and high prevalence of violence against women by the partner are two major public health issues in Colombia. Prenatal care professionals can change this scenario by identifying women exposed to intimate partner violence and offering tailored support for breastfeeding practices.

ABSTRACT BACKGROUND: Multimorbidity can influence intensive care unit (ICU) admissions and deaths due to coronavirus disease (COVID-19). OBJECTIVE: To analyze the association between multimorbidity, ICU admissions, and deaths due to COVID-19 in Brazil. DESIGN AND SETTING: This cross-sectional study was conducted using data from patients with severe acute respiratory syndrome (SARS) due to COVID-19 recorded in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) in 2020. METHODS: Descriptive and stratified analyses of multimorbidity were performed based on sociodemographic, ventilatory support, and diagnostic variables. Poisson regression was used to estimate the prevalence ratios. RESULTS: We identified 671,593 cases of SARS caused by COVID-19, of which 62.4% had at least one morbidity. Multimorbidity was associated with male sex, age 60–70 and ≥ 80 years, brown and black skin color, elementary education and high school, ventilatory support, and altered radiologic exams. Moreover, all regions of the country and altered computed tomography due to COVID-19 or other diseases were associated with death; only the northeast region and higher education were associated with ICU admission. CONCLUSION: Our results showed an association between multimorbidity, ICU admission, and death in COVID-19 patients in Brazil.

Resumo O objetivo deste estudo foi investigar a associação entre fatores sociodemográficos, estilo de vida, perfil reprodutivo maternos e atenção pré-natal e ao parto com a morbidade near miss neonatal (NMN), em quatro coortes de nascimento. Este estudo envolveu quatro coortes de nascimento: Ribeirão Preto (RP) e São Luís (SL) (2010), Pelotas 2004 (PEL04) e 2015 (PEL15). Foi considerado NMN quando presente uma ou mais das seguintes condições: peso ao nascer <1.500g, índice de Apgar <7 no quinto minuto de vida, idade gestacional <32 semanas e relato de malformações congênitas. As covariáveis foram obtidas por meio de questionários aplicados às puérperas. Para análise, foi utilizada regressão logística múltipla com abordagem hierarquizada. Algumas particularidades entre as coortes foram verificadas. Nas coortes de RP e SL foram observadas associações dos fatores dos níveis mais distais (sociodemográficas, estilo de vida e perfil reprodutivo) com o NMN. Por outro lado, em PEL os fatores proximais relacionados à atenção à saúde foram mais significativos para ocorrência de NMN. Apenas a não realização do pré-natal associou-se ao NMN em todas as coortes: RP (OR=4,27, IC95% 2,16-8,45), SL (OR=2,32, IC95% 1,09-4,94), PEL04 (OR=4,79, IC95% 1,59-14,46) e PEL15 (OR=5,10, IC95% 2,60-9,97).

Abstract The aim of this study was to investigate the association of sociodemographic factors, lifestyle, maternal reproductive profile and prenatal and childbirth care with neonatal near miss (NNM) morbidity in four birth cohorts. This study involved four population-based birth cohorts: Ribeirão Preto (RP) and São Luís (SL) (2010), Pelotas 2004 (PEL04) and 2015 (PEL15). NNM was defined when one or more of the following conditions were present: birthweight <1,500 g, 5-minute Apgar score <7, gestational age <32 weeks, and report of congenital malformations. The covariates were obtained with questionnaires applied to the puerperal women. Some particularities between cohorts were identified. In the RP and SL cohorts, factors of the more distal levels (sociodemographic, lifestyle, and reproductive profile) were associated with NNM. On the other hand, proximal factors related to healthcare were more significant for the occurrence of NNM in PEL. Only the absence of prenatal care was associated with NNM in all cohorts: RP (OR=4.27, 95%CI 2.16-8.45), SL (OR=2.32, 95%CI 1.09-4.94), PEL04 (OR=4.79, 95%CI 1.59-14.46), and PEL15 (OR=5.10, 95%CI 2.60-9.97).

Resumo O objetivo deste estudo foi investigar a associação entre fatores sociodemográficos, estilo de vida, perfil reprodutivo maternos e atenção pré-natal e ao parto com a morbidade near miss neonatal (NMN), em quatro coortes de nascimento. Este estudo envolveu quatro coortes de nascimento: Ribeirão Preto (RP) e São Luís (SL) (2010), Pelotas 2004 (PEL04) e 2015 (PEL15). Foi considerado NMN quando presente uma ou mais das seguintes condições: peso ao nascer <1.500g, índice de Apgar <7 no quinto minuto de vida, idade gestacional <32 semanas e relato de malformações congênitas. As covariáveis foram obtidas por meio de questionários aplicados às puérperas. Para análise, foi utilizada regressão logística múltipla com abordagem hierarquizada. Algumas particularidades entre as coortes foram verificadas. Nas coortes de RP e SL foram observadas associações dos fatores dos níveis mais distais (sociodemográficas, estilo de vida e perfil reprodutivo) com o NMN. Por outro lado, em PEL os fatores proximais relacionados à atenção à saúde foram mais significativos para ocorrência de NMN. Apenas a não realização do pré-natal associou-se ao NMN em todas as coortes: RP (OR=4,27, IC95% 2,16-8,45), SL (OR=2,32, IC95% 1,09-4,94), PEL04 (OR=4,79, IC95% 1,59-14,46) e PEL15 (OR=5,10, IC95% 2,60-9,97).

Abstract The aim of this study was to investigate the association of sociodemographic factors, lifestyle, maternal reproductive profile and prenatal and childbirth care with neonatal near miss (NNM) morbidity in four birth cohorts. This study involved four population-based birth cohorts: Ribeirão Preto (RP) and São Luís (SL) (2010), Pelotas 2004 (PEL04) and 2015 (PEL15). NNM was defined when one or more of the following conditions were present: birthweight <1,500 g, 5-minute Apgar score <7, gestational age <32 weeks, and report of congenital malformations. The covariates were obtained with questionnaires applied to the puerperal women. Some particularities between cohorts were identified. In the RP and SL cohorts, factors of the more distal levels (sociodemographic, lifestyle, and reproductive profile) were associated with NNM. On the other hand, proximal factors related to healthcare were more significant for the occurrence of NNM in PEL. Only the absence of prenatal care was associated with NNM in all cohorts: RP (OR=4.27, 95%CI 2.16-8.45), SL (OR=2.32, 95%CI 1.09-4.94), PEL04 (OR=4.79, 95%CI 1.59-14.46), and PEL15 (OR=5.10, 95%CI 2.60-9.97).