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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
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]
Total Authors: 5
Affiliation:
[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
Total Affiliations: 3
Document type: Journal article
Source: PUBLIC HEALTH NUTRITION; v. 15, n. 6, p. 1008-1014, JUN 2012.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 06/05920-7 - Estimability of association and effect measures in spatial case-control studies
Grantee:Laécio Carvalho de Barros
Support type: Research Projects - Thematic Grants
FAPESP's process: 07/07435-1 - Estimation of spatial risk distribution in case-control studies using multinomial model
Grantee:Luciana Bertoldi Nucci
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 08/05324-0 - Development of computational routines for risk association measures under case-control studies
Grantee:Celso Stephan
Support type: Scholarships in Brazil - Post-Doctorate