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      Educational inequalities in obesity: a multilevel analysis of survey data from cities in Latin America

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          Abstract

          Objective

          Using newly harmonised individual-level data on health and socioeconomic environments in Latin American cities (from the Salud Urbana en América Latina (SALURBAL) study), we assessed the association between obesity and education levels and explored potential effect modification of this association by city-level socio-economic development.

          Design

          This cross-sectional study used survey data collected between 2002 and 2017. Absolute and relative educational inequalities in obesity (BMI ≥ 30 kg/m 2, derived from measured weight and height) were calculated first. Then, a two-level mixed-effects logistic regression was run to test for effect modification of the education–obesity association by city-level socio-economic development. All analyses were stratified by sex.

          Setting

          One hundred seventy-six Latin American cities within eight countries (Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico and Peru).

          Participants

          53 186 adults aged >18 years old.

          Results

          Among women, 25 % were living with obesity and obesity was negatively associated with educational level (higher education–lower obesity) and this pattern was consistent across city-level socio-economic development. Among men, 18 % were living with obesity and there was a positive association between education and obesity (higher education–higher obesity) for men living in cities with lower levels of development, whereas for those living in cities with higher levels of development, the pattern was inverted and university education was protective of obesity.

          Conclusions

          Among women, education was protective of obesity regardless, whereas among men, it was only protective in cities with higher levels of development. These divergent results suggest the need for sex- and city-specific interventions to reduce obesity prevalence and inequalities.

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          Most cited references57

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          Global nutrition transition and the pandemic of obesity in developing countries.

          Decades ago, discussion of an impending global pandemic of obesity was thought of as heresy. But in the 1970s, diets began to shift towards increased reliance upon processed foods, increased away-from-home food intake, and increased use of edible oils and sugar-sweetened beverages. Reductions in physical activity and increases in sedentary behavior began to be seen as well. The negative effects of these changes began to be recognized in the early 1990s, primarily in low- and middle-income populations, but they did not become clearly acknowledged until diabetes, hypertension, and obesity began to dominate the globe. Now, rapid increases in the rates of obesity and overweight are widely documented, from urban and rural areas in the poorest countries of sub-Saharan Africa and South Asia to populations in countries with higher income levels. Concurrent rapid shifts in diet and activity are well documented as well. An array of large-scale programmatic and policy measures are being explored in a few countries; however, few countries are engaged in serious efforts to prevent the serious dietary challenges being faced. © 2012 International Life Sciences Institute.
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            Indicators of socioeconomic position (part 1).

            This glossary presents a comprehensive list of indicators of socioeconomic position used in health research. A description of what they intend to measure is given together with how data are elicited and the advantages and limitation of the indicators. The glossary is divided into two parts for journal publication but the intention is that it should be used as one piece. The second part highlights a life course approach and will be published in the next issue of the journal.
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              The obesity transition: stages of the global epidemic

              Our aim was to consolidate the evidence on the epidemiology of obesity into a conceptual model of the ‘obesity transition’. Illustrative examples from the thirty most populous countries, representing 77·5% of the world’s population, were used. Stage 1 of the obesity transition is characterised by a higher prevalence in women compared to men, in those with higher compared to lower socioeconomic status, and adults compared to children. Many countries in South Asia and sub-Saharan Africa are at this stage. In Stage 2, there is a large increase in the prevalence among adults, a smaller increase among children, and a narrowing of the gender gap and socioeconomic differences among women. Many Latin American and Middle Eastern countries are at this stage. High-income East Asian countries are also at this stage, albeit with a much lower prevalence of obesity. Stage 3 occurs when the prevalence of obesity among those with lower socioeconomic status surpasses that among those with higher socioeconomic status and plateaus in obesity may be observed among women with high socioeconomic status and children. Most European countries are currently at this stage. There are too few signs of countries entering into the proposed final stage of declining obesity prevalence to determine demographic patterns. This conceptual model is intended to provide guidance to researchers and policymakers in identifying the current stage of the obesity transition in a population, anticipate sub-populations that will experience obesity in the future, and enact proactive measures to attenuate the transition, taking into consideration local contextual factors.
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                Author and article information

                Journal
                9808463
                Public Health Nutr
                Public Health Nutr
                Public health nutrition
                1368-9800
                1475-2727
                22 July 2021
                July 2022
                25 June 2021
                08 July 2022
                : 25
                : 7
                : 1790-1798
                Affiliations
                [1 ]INCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
                [2 ]Department of Epidemiology and Biostatics, Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA
                [3 ]Universidad de los Andes, Alberto Lleras Camargo School of Government, Bogotá, Colombia
                [4 ]CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
                [5 ]CONACYT - National Institute of Public Health (INSP), Av. Universidad 655 Col. Santa María Ahuacatitlán, Cuernavaca, 62100, Mexico
                Author notes
                [* ] Corresponding author: carolina.perez@ 123456insp.mx
                Author information
                http://orcid.org/0000-0002-2250-3683
                http://orcid.org/0000-0002-5844-6721
                http://orcid.org/0000-0001-8631-3101
                Article
                EMS131093
                10.1017/S1368980021002457
                7613035
                34167613
                6c9ea0f8-e2e3-4129-9105-1866bc19570b

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                Article

                Public health
                inequities,obesity,education,socio-economic factors,latin america
                Public health
                inequities, obesity, education, socio-economic factors, latin america

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