Resumo O objetivo foi analisar a distribuição espacial da má oclusão (MO) em adolescentes, estimar a prevalência e avaliar os fatores associados. Estudo com dados de 5.558 adolescentes entre 15 e 19 anos de idade do inquérito - SB São Paulo 2015. O desfecho foi a MO. As variáveis independentes foram os aspectos sociodemográficos, acesso aos serviços odontológicos, cárie e perdas dentárias. Foram incluídos 162 municípios do estado de São Paulo e aplicadas técnicas de estatística espacial. Foram realizados modelos de regressão logística hierarquizada. A prevalência de MO foi de 29,3%. Houve um padrão de espalhamento entre os tipos de MO e correlação espacial positiva (p<0,05). Adolescentes não brancos (OR=1,32, IC95%: 1,24-1,42), com menor tempo de estudo (OR=1,30, IC95%: 1,22-1,42) e com dentes extraídos por cárie (OR=1,40, IC95%: 1,03-1,88) tiveram mais chances de apresentarem MO. O acesso dos adolescentes à consulta odontológica não contribuiu para reduzir a chance de apresentar a MO, independentemente de a consulta ao dentista ter ocorrido há menos (OR=2,02, IC95%: 1,65-2,47) ou há mais de um ano (OR=1,63, IC95%: 1,31-2,03). Assim, a ocorrência de MO é desigualmente distribuída no estado de São Paulo, e associada a condições sociodemográficas de acesso à consulta e perda dentária por cárie. (MO associados 5558 5 558 5.55 1 2015 sociodemográficos odontológicos dentárias 16 hierarquizada 293 29 3 29,3% p<0,05. p005 p p<0,05 . 0 05 (p<0,05) OR=1,32, OR132 OR 32 (OR=1,32 IC95% IC95 IC 1,241,42, 124142 1,24 1,42 , 24 42 1,24-1,42) OR=1,30, OR130 30 (OR=1,30 1,221,42 122142 1,22 22 1,22-1,42 OR=1,40, OR140 40 (OR=1,40 1,031,88 103188 1,03 1,88 03 88 1,03-1,88 OR=2,02, OR202 2 02 (OR=2,02 1,652,47 165247 1,65 2,47 65 47 1,65-2,47 OR=1,63, OR163 63 (OR=1,63 1,312,03. 131203 1,31 2,03 31 1,31-2,03) Assim 555 55 5.5 201 29,3 p00 p<0,0 (p<0,05 OR=1,32 OR13 (OR=1,3 IC9 241 1,241,42 12414 124 1,2 142 1,4 4 1,24-1,42 OR=1,30 221 1,221,4 12214 122 1,22-1,4 OR=1,40 OR14 (OR=1,4 031 1,031,8 10318 103 1,0 188 1,8 8 1,03-1,8 OR=2,02 OR20 (OR=2,0 652 1,652,4 16524 165 1,6 247 2,4 6 1,65-2,4 OR=1,63 OR16 (OR=1,6 312 1,312,03 13120 131 1,3 203 2,0 1,31-2,03 5. 20 29, p0 p<0, (p<0,0 OR=1,3 OR1 (OR=1, 1,241,4 1241 12 1, 14 1,24-1,4 1,221, 1221 1,22-1, OR=1,4 1,031, 1031 10 18 1,03-1, OR=2,0 OR2 (OR=2, 1,652, 1652 2, 1,65-2, OR=1,6 1,312,0 1312 13 1,31-2,0 p<0 (p<0, OR=1, (OR=1 1,241, 1,24-1, 1,221 1,22-1 1,031 1,03-1 OR=2, (OR=2 1,652 1,65-2 1,312, 1,31-2, p< (p<0 OR=1 (OR= 1,241 1,24-1 1,22- 1,03- OR=2 1,65- 1,312 1,31-2 (p< OR= (OR 1,24- 1,31- (p
Abstract The scope of this study was to analyze the spatial distribution of malocclusion (MO), estimate the prevalence and evaluate the associated factors in adolescents. It was a study with results of 5,558 adolescents aged 15 to 19 from the São Paulo Oral Health (SB) 2015 survey. The outcome was MO. Sociodemographic aspects, access to dental services, dental caries and tooth loss were the independent variables. A total of 162 municipalities in the state of São Paulo were included and spatial statistics techniques were applied. Hierarchical logistic regression models were performed. The prevalence of MO was 29.3%. There was a spread pattern between the types of MO and positive detachment (p<0,05). Non-white adolescents (OR=1.32, 95%CI: 1.24-1.42), with less years of schooling (OR=1.30, 95%CI: 1.22-1.42), with teeth extracted due to caries (OR=1.40, 95%CI: 1.03-1.88) were more likely to have MO. Adolescent access to dental consultation did not contribute to reducing the chance of developing MO, regardless of whether the dental consultation occurred less (OR=2.02, 95%CI: 1.65-2.47) or more than one year before (OR=1.63, 95%CI: 1.31-2.03). Thus, the occurrence of MO is unequally distributed in the state of São Paulo and associated with sociodemographic conditions, access to consultations and tooth loss due to caries. , (MO) 5558 5 558 5,55 1 SB (SB 201 survey aspects services variables 16 applied performed 293 29 3 29.3% p<0,05. p005 p p<0,05 . 0 05 (p<0,05) Nonwhite Non white OR=1.32, OR132 OR 32 (OR=1.32 95%CI 95CI CI 95 1.241.42, 124142 1.24 1.42 24 42 1.24-1.42) OR=1.30, OR130 30 (OR=1.30 1.221.42, 122142 1.22 22 1.22-1.42) OR=1.40, OR140 40 (OR=1.40 1.031.88 103188 1.03 1.88 03 88 1.03-1.88 OR=2.02, OR202 2 02 (OR=2.02 1.652.47 165247 1.65 2.47 65 47 1.65-2.47 OR=1.63, OR163 63 (OR=1.63 1.312.03. 131203 1.31 2.03 31 1.31-2.03) Thus conditions (MO 555 55 5,5 20 29.3 p00 p<0,0 (p<0,05 OR=1.32 OR13 (OR=1.3 9 241 1.241.42 12414 124 1.2 142 1.4 4 1.24-1.42 OR=1.30 221 1.221.42 12214 122 1.22-1.42 OR=1.40 OR14 (OR=1.4 031 1.031.8 10318 103 1.0 188 1.8 8 1.03-1.8 OR=2.02 OR20 (OR=2.0 652 1.652.4 16524 165 1.6 247 2.4 6 1.65-2.4 OR=1.63 OR16 (OR=1.6 312 1.312.03 13120 131 1.3 203 2.0 1.31-2.03 5, 29. p0 p<0, (p<0,0 OR=1.3 OR1 (OR=1. 1.241.4 1241 12 1. 14 1.24-1.4 1.221.4 1221 1.22-1.4 OR=1.4 1.031. 1031 10 18 1.03-1. OR=2.0 OR2 (OR=2. 1.652. 1652 2. 1.65-2. OR=1.6 1.312.0 1312 13 1.31-2.0 p<0 (p<0, OR=1. (OR=1 1.241. 1.24-1. 1.221. 1.22-1. 1.031 1.03-1 OR=2. (OR=2 1.652 1.65-2 1.312. 1.31-2. p< (p<0 OR=1 (OR= 1.241 1.24-1 1.221 1.22-1 1.03- OR=2 1.65- 1.312 1.31-2 (p< OR= (OR 1.24- 1.22- 1.31- (p