Spatial distribution of the risk for metabolic complications: an application in south-east Brazil, 2006-2007

Autor(es)

Nucci, Luciana B. ^{[1, 2]} ; Zangirolani, Lia T. O. ^{[1, 2]} ; Mafra, Ana Carolina C. N. ^[1] ; de Medeiros, Maria Angelica T. ^[3] ; Cordeiro, Ricardo ^[1]

Afiliação do(s) autor(es)

^[1] State Univ Campinas UNICAMP, Dept Publ Hlth, Fac Med Sci, BR-13025061 Campinas, SP - Brazil

^[2] Pontificia Univ Catolica Campinas PUC Campinas, Ctr Ciencias Vida, Campinas, SP - Brazil

^[3] Univ Fed Sao Paulo UNIFESP, Dept Ciencias Saude, Santos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: PUBLIC HEALTH NUTRITION; v. 15, n. 6, p. 1008-1014, JUN 2012.
• Citações Web of Science: 0

Resumo

Objective: To identify spatial variation in the risk for metabolic complications (RMC) by means of a semi-parametric approach for multinomial data. Design: Cross-sectional study. Setting: We visited 730 households selected in the first of a two-stage sample in South health district in Campinas, Sao Paulo, Brazil, 2006-2007. Subjects: We interviewed 651 individuals and obtained their respective anthropometric measures and geographical coordinates of their house location. They were classified according to a combination of BMI and abdominal circumference as having no risk, increased, high or very high RMC. Results: Gender, age and schooling were associated with RMC. Crude spatial risk for the three levels of RMC in relation to the absence of risk suggested different patterns in each level. Adjusted spatial risk for the RMC showed smaller significant areas, but the pattern remained similar to crude risk. Conclusions: Spatial point analysis with a multinomial approach improves the understanding of differences in RMC found, as we could identify specific areas in which to intervene. The public health significance of these findings may lie in the additional evidence provided that spatial location and its features can influence patterns of RMC. (AU)

• Processo FAPESP: 06/05920-7 - Estimabilidade de medidas de associação e efeito em estudos caso-controle espaciais
• Beneficiário: Laécio Carvalho de Barros
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 07/07435-1 - Estimabilidade da distribuição espacial de risco em estudos caso-controle utilizando o modelo multinomial
• Beneficiário: Luciana Bertoldi Nucci
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 08/05324-0 - Implementação de rotinas computacionais para a estimação de medidas de associação e de risco em estudos caso-controle espaciais
• Beneficiário: Celso Stephan
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 08/58461-5 - Uso de modelagem multinominal na estimabilidade da distribuição espacial do risco em estudos epidemiológicos
• Beneficiário: Ana Carolina Cintra Nunes Mafra
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto