Carlos Boissonnet, Herman Schargrodsky, Fabio Pellegrini, Alejandro Macchia, Beatriz Marcet Champagne, Elinor Wilson, Gianni Tognoni
{"title":"Educational inequalities in obesity, abdominal obesity, and metabolic syndrome in seven Latin American cities: the CARMELA Study.","authors":"Carlos Boissonnet, Herman Schargrodsky, Fabio Pellegrini, Alejandro Macchia, Beatriz Marcet Champagne, Elinor Wilson, Gianni Tognoni","doi":"10.1177/1741826710389418","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Earlier reviews have found that the proportion of inverse associations between socioeconomic status and obesity increased according to the level of development of the studied country. Based on this finding, it has been hypothesized that in low- to middle- income countries the burden of obesity shifts to disadvantaged groups as a country develops.</p><p><strong>Methods and results: </strong>CARMELA is a cross-sectional, population-based observational study that sampled 11,550 women and men age 25-64 from seven major Latin American cities. We analyzed by gender the association of educational attainments (as proxy of socioeconomic status) with body mass index, waist circumference and metabolic syndrome. Participating cities were divided by country Human Development Index (HDI). An inverse gradient between socioeconomic status and body mass index in women was uniformly present in High HDI cities (Buenos Aires, Santiago, Mexico) but not in Medium HDI group (Barquisimeto, Bogota, Lima, Quito), where two cities showed an inverse gradient and two cities did not. In men, no clear socioeconomic gradients were found. Findings regarding waist circumference and metabolic syndrome closely mirrored those about body mass index.</p><p><strong>Conclusion: </strong>In women but not men, these results give support to the hypothesis of obesity shifting to the poor and extend it to the related concepts of abdominal obesity and metabolic syndrome. Obesity should be considered as a socially-generated disease and an indicator of socioeconomic disadvantage, to be approached by comprehensive strategies that bear in mind this perspective.</p>","PeriodicalId":50492,"journal":{"name":"European Journal of Cardiovascular Prevention & Rehabilitation","volume":"18 4","pages":"550-6"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1741826710389418","citationCount":"53","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Cardiovascular Prevention & Rehabilitation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1741826710389418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2011/1/31 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 53
Abstract
Aims: Earlier reviews have found that the proportion of inverse associations between socioeconomic status and obesity increased according to the level of development of the studied country. Based on this finding, it has been hypothesized that in low- to middle- income countries the burden of obesity shifts to disadvantaged groups as a country develops.
Methods and results: CARMELA is a cross-sectional, population-based observational study that sampled 11,550 women and men age 25-64 from seven major Latin American cities. We analyzed by gender the association of educational attainments (as proxy of socioeconomic status) with body mass index, waist circumference and metabolic syndrome. Participating cities were divided by country Human Development Index (HDI). An inverse gradient between socioeconomic status and body mass index in women was uniformly present in High HDI cities (Buenos Aires, Santiago, Mexico) but not in Medium HDI group (Barquisimeto, Bogota, Lima, Quito), where two cities showed an inverse gradient and two cities did not. In men, no clear socioeconomic gradients were found. Findings regarding waist circumference and metabolic syndrome closely mirrored those about body mass index.
Conclusion: In women but not men, these results give support to the hypothesis of obesity shifting to the poor and extend it to the related concepts of abdominal obesity and metabolic syndrome. Obesity should be considered as a socially-generated disease and an indicator of socioeconomic disadvantage, to be approached by comprehensive strategies that bear in mind this perspective.