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      The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS)

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          Abstract

          Background

          Associations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of socioeconomic development.

          Methods

          Data on SES, smoking, physical activity, body mass index, blood pressure, cholesterol and glucose were available from the Modeling the Epidemiologic Transition Study (METS), with about 500 participants aged 25–45 in each of five sites (Ghana, South Africa, Jamaica, Seychelles, United States).

          Results

          The prevalence of NCD-RFs differed between these populations from five countries (e.g., lower prevalence of smoking, obesity and hypertension in rural Ghana) and by sex (e.g., higher prevalence of smoking and physical activity in men and of obesity in women in most populations). Smoking and physical activity were associated with low SES in most populations. The associations of SES with obesity, hypertension, cholesterol and elevated blood glucose differed by population, sex, and SES indicator. For example, the prevalence of elevated blood glucose tended to be associated with low education, but not with wealth, in Seychelles and USA. The association of SES with obesity and cholesterol was direct in some populations but inverse in others.

          Conclusions

          In conclusion, the distribution of NCD-RFs was socially patterned in these populations at different stages of the epidemiological transition, but associations between SES and NCD-RFs differed substantially according to risk factor, population, sex, and SES indicator. These findings emphasize the need to assess and integrate the social patterning of NCD-RFs in NCD prevention and control programs in LMICs.

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          Most cited references32

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          Social environment and physical activity: a review of concepts and evidence.

          The rapidly growing and evolving literature on the social environment and its influence on health outcomes currently lacks a clear taxonomy of dimensions of the social environment and the differing mechanisms through which each influences health-related behavior. This paper identifies five dimensions of the social environment-social support and social networks, socioeconomic position and income inequality, racial discrimination, social cohesion and social capital, and neighborhood factors-and considers each in the context of physical activity to illustrate important differences between them. Increasing the specificity of terminology and methods in social environmental research on health will enable more systematic inquiry and accelerate the rate of scientific discovery in this important area.
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            Socioeconomic status and obesity in adult populations of developing countries: a review.

            A landmark review of studies published prior to 1989 on socioeconomic status (SES) and obesity supported the view that obesity in the developing world would be essentially a disease of the socioeconomic elite. The present review, on studies conducted in adult populations from developing countries, published between 1989 and 2003, shows a different scenario for the relationship between SES and obesity. Although more studies are necessary to clarify the exact nature of this relationship, particularly among men, three main conclusions emerge from the studies reviewed: 1. Obesity in the developing world can no longer be considered solely a disease of groups with higher SES. 2. The burden of obesity in each developing country tends to shift towards the groups with lower SES as the country's gross national product (GNP) increases. 3. The shift of obesity towards women with low SES apparently occurs at an earlier stage of economic development than it does for men. The crossover to higher rates of obesity among women of low SES is found at a GNP per capita of about US$ 2500, the mid-point value for lower-middle-income economies. The results of this review reinforce the urgent need to: include obesity prevention as a relevant topic on the public health agenda in developing countries; improve the access of all social classes in these countries to reliable information on the determinants and consequences of obesity; and design and implement consistent public actions on the physical, economic, and sociocultural environment that make healthier choices concerning diet and physical activity feasible for all. A significant step in this direction was taken with the approval of the Global Strategy on Diet, Physical Activity and Health by the World Health Assembly in May 2004.
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              Obesity and inequities in health in the developing world.

              To update the social distribution of women's obesity in the developing world and, in particular, to identify the specific level of economic development at which, if any, women's obesity in the developing world starts to fuel inequities in health. Multilevel logistic regression analyses applied to anthropometric and socioeconomic data collected by nationally representative cross-sectional surveys conducted from 1992 to 2000 in 37 developing countries within a wide range of world regions and stages of economic development (gross national product (GNP) from 190 to 4440 US dollars per capita). : In total, 148 579 nonpregnant women aged 20-49 y. Body mass index to assess obesity status; quartiles of years of education to assess woman's socioeconomic status (SES), and GNP per capita to assess country's stage of economic development. Belonging to the lower SES group confers strong protection against obesity in low-income economies, but it is a systematic risk factor for the disease in upper-middle income developing economies. A multilevel logistic model-including an interaction term between the country's GNP and each woman's SES-indicates that obesity starts to fuel health inequities in the developing world when the GNP reaches a value of about 2500 US dollars per capita. For most upper-middle income economies and part of the lower-middle income economies, obesity among adult women is already a relevant booster of health inequities and, in the absence of concerted national public actions to prevent obesity, economic growth will greatly expand the list of developing countries where this situation occurs.
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                Author and article information

                Contributors
                silvia.stringhini@chuv.ch
                terrence.forrester@uwimona.edu.jm
                jprhule@gmail.com
                Vicki.Lambert@uct.ac.za
                Barathi.Viswanathan@health.gov.sc
                wf.riesen@bluewin.ch
                Wolfgang.Korte@zlmsg.ch
                naomi.levitt@uct.ac.za
                ltong@luc.edu
                ldugas@luc.edu
                dshoham@luc.edu
                rdurazo@luc.edu
                Aluke@luc.edu
                pascal.bovet@chuv.ch
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                9 September 2016
                9 September 2016
                2016
                : 16
                : 1
                : 956
                Affiliations
                [1 ]University Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Biopôle 2, Route de la Corniche 10, 1010 Lausanne, Switzerland
                [2 ]Tropical Medicine Research Institute, University of the West Indies, Mona, Kingston Jamaica
                [3 ]Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
                [4 ]Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa
                [5 ]Ministry of Health, Victoria, Republic of Seychelles
                [6 ]Center for Laboratory Medicine, Canton Hospital, St. Gallen, Switzerland
                [7 ]Chronic Disease Initiative in Africa, Department of Medicine, University of CapeTown, Cape Town, South Africa
                [8 ]Stritch School of Medicine, Loyola University Chicago, Maywood, IL USA
                Article
                3589
                10.1186/s12889-016-3589-5
                5017030
                27612934
                2c4d0a4b-b71e-48ac-8b8d-ce10b28d194a
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 8 January 2016
                : 25 August 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung;
                Award ID: Ambizione Grant (n° PZ00P3_147998
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: 1R01DK80763
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Public health
                socioeconomic status,noncommunicable diseases,low and middle income countries,smoking,physical activity,obesity,hypertension,risk factors

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