Socio-economic life course and obesity among adults in Florianopolis, southern Brazil

Katia Jakovljevic Pudla Wagner, João Luiz Bastos, Albert Navarro, Antonio Fernando Boing

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

© 2017 SESPAS Objective: To estimate the association between socio-economic life course and body mass index (BMI), waist circumference (WC) and general and abdominal obesity in adults. Methods: A cross-sectional analysis of a population-based cohort study of 1,222 adults (aged 22–63) from Florianopolis, southern Brazil. The socio-economic life course was analysed using the educational level of participants and their parents. Height, weight and WC were measured by specially trained staff. Linear and logistic regressions were used with adjustment for confounding factors, and data were stratified according to sex. Results: Mean BMI and WC were about 2 kg/m2 (95% CI: −3.3 to −0.7) and 6 cm (95% CI: −9.7 to −2.9) lower in women with a high socio-economic position, while the association was reversed in men with a high socio-economic position, with WC being about 4 cm higher (95% CI: 0.1 to 7.5). In addition, women who had always been in a high socio-economic position were less likely to have abdominal obesity (OR: 0.38; 95% CI: 0.20 to 0.76) while no such association was found in men. Conclusion: Socio-economic life course influences BMI, WC and obesity, with differences between males and females, thereby indicating that public policies that contemplate a socio-economic life course approach can be effective for controlling obesity.
Original languageEnglish
Pages (from-to)244-250
JournalGaceta Sanitaria
Volume32
Issue number3
DOIs
Publication statusPublished - 1 May 2018

Keywords

  • Adults
  • Cross-sectional study
  • Obesity
  • Socio-economic factors
  • Socio-economic life course

Fingerprint

Dive into the research topics of 'Socio-economic life course and obesity among adults in Florianopolis, southern Brazil'. Together they form a unique fingerprint.

Cite this