Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk

Abstract Background The prevalence of obesity has increased in societies of all socio-cultural backgrounds. To date, guidelines set forward to prevent obesity have universally emphasized optimal levels of physical activity. However there are few empirical data to support the assertion that low levels of energy expenditure in activity is a causal factor in the current obesity epidemic are very limited. Methods/Design The Modeling the Epidemiologic Transition Study (METS) is a cohort study designed to assess the association between physical activity levels and relative weight, weight gain and diabetes and cardiovascular disease risk in five population-based samples at different stages of economic development. Twenty-five hundred young adults, ages 25-45, were enrolled in the study; 500 from sites in Ghana, South Africa, Seychelles, Jamaica and the United States. At baseline, physical activity levels were assessed using accelerometry and a questionnaire in all participants and by doubly labeled water in a subsample of 75 per site. We assessed dietary intake using two separate 24-hour recalls, body composition using bioelectrical impedance analysis, and health history, social and economic indicators by questionnaire. Blood pressure was measured and blood samples collected for measurement of lipids, glucose, insulin and adipokines. Full examination including physical activity using accelerometry, anthropometric data and fasting glucose will take place at 12 and 24 months. The distribution of the main variables and the associations between physical activity, independent of energy intake, glucose metabolism and anthropometric measures will be assessed using cross-section and longitudinal analysis within and between sites. Discussion METS will provide insight on the relative contribution of physical activity and diet to excess weight, age-related weight gain and incident glucose impairment in five populations' samples of young adults at different stages of economic development. These data should be useful for the development of empirically-based public health policy aimed at the prevention of obesity and associated chronic diseases.

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Main Authors: Luke, Amy, Bovet, Pascal, Forrester, Terrence E, Lambert, Estelle V, Plange-Rhule, Jacob, Schoeller, Dale A, Dugas, Lara R, Durazo-Arvizu, Ramon A, Shoham, David, Cooper, Richard S, Brage, Soren, Ekelund, Ulf, Steyn, Nelia
Format: Journal Article biblioteca
Language:English
Published: 2011-12-14
Online Access:http://dx.doi.org/10.1186/1471-2458-11-927
http://hdl.handle.net/2139/12621
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spelling oai:oai:uwispace.sta.uwi.edu:2139:2139-126212012-03-31T03:01:11Z Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk Luke, Amy Bovet, Pascal Forrester, Terrence E Lambert, Estelle V Plange-Rhule, Jacob Schoeller, Dale A Dugas, Lara R Durazo-Arvizu, Ramon A Shoham, David Cooper, Richard S Brage, Soren Ekelund, Ulf Steyn, Nelia Abstract Background The prevalence of obesity has increased in societies of all socio-cultural backgrounds. To date, guidelines set forward to prevent obesity have universally emphasized optimal levels of physical activity. However there are few empirical data to support the assertion that low levels of energy expenditure in activity is a causal factor in the current obesity epidemic are very limited. Methods/Design The Modeling the Epidemiologic Transition Study (METS) is a cohort study designed to assess the association between physical activity levels and relative weight, weight gain and diabetes and cardiovascular disease risk in five population-based samples at different stages of economic development. Twenty-five hundred young adults, ages 25-45, were enrolled in the study; 500 from sites in Ghana, South Africa, Seychelles, Jamaica and the United States. At baseline, physical activity levels were assessed using accelerometry and a questionnaire in all participants and by doubly labeled water in a subsample of 75 per site. We assessed dietary intake using two separate 24-hour recalls, body composition using bioelectrical impedance analysis, and health history, social and economic indicators by questionnaire. Blood pressure was measured and blood samples collected for measurement of lipids, glucose, insulin and adipokines. Full examination including physical activity using accelerometry, anthropometric data and fasting glucose will take place at 12 and 24 months. The distribution of the main variables and the associations between physical activity, independent of energy intake, glucose metabolism and anthropometric measures will be assessed using cross-section and longitudinal analysis within and between sites. Discussion METS will provide insight on the relative contribution of physical activity and diet to excess weight, age-related weight gain and incident glucose impairment in five populations' samples of young adults at different stages of economic development. These data should be useful for the development of empirically-based public health policy aimed at the prevention of obesity and associated chronic diseases. Peer Reviewed 2012-03-30T05:33:15Z 2012-03-30T05:33:15Z 2011-12-14 2012-03-30T05:33:15Z Journal Article http://dx.doi.org/10.1186/1471-2458-11-927 BMC Public Health. 2011 Dec 14;11(1):927 http://hdl.handle.net/2139/12621 en Luke et al.; licensee BioMed Central Ltd. text/xml application/pdf
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description Abstract Background The prevalence of obesity has increased in societies of all socio-cultural backgrounds. To date, guidelines set forward to prevent obesity have universally emphasized optimal levels of physical activity. However there are few empirical data to support the assertion that low levels of energy expenditure in activity is a causal factor in the current obesity epidemic are very limited. Methods/Design The Modeling the Epidemiologic Transition Study (METS) is a cohort study designed to assess the association between physical activity levels and relative weight, weight gain and diabetes and cardiovascular disease risk in five population-based samples at different stages of economic development. Twenty-five hundred young adults, ages 25-45, were enrolled in the study; 500 from sites in Ghana, South Africa, Seychelles, Jamaica and the United States. At baseline, physical activity levels were assessed using accelerometry and a questionnaire in all participants and by doubly labeled water in a subsample of 75 per site. We assessed dietary intake using two separate 24-hour recalls, body composition using bioelectrical impedance analysis, and health history, social and economic indicators by questionnaire. Blood pressure was measured and blood samples collected for measurement of lipids, glucose, insulin and adipokines. Full examination including physical activity using accelerometry, anthropometric data and fasting glucose will take place at 12 and 24 months. The distribution of the main variables and the associations between physical activity, independent of energy intake, glucose metabolism and anthropometric measures will be assessed using cross-section and longitudinal analysis within and between sites. Discussion METS will provide insight on the relative contribution of physical activity and diet to excess weight, age-related weight gain and incident glucose impairment in five populations' samples of young adults at different stages of economic development. These data should be useful for the development of empirically-based public health policy aimed at the prevention of obesity and associated chronic diseases.
format Journal Article
author Luke, Amy
Bovet, Pascal
Forrester, Terrence E
Lambert, Estelle V
Plange-Rhule, Jacob
Schoeller, Dale A
Dugas, Lara R
Durazo-Arvizu, Ramon A
Shoham, David
Cooper, Richard S
Brage, Soren
Ekelund, Ulf
Steyn, Nelia
spellingShingle Luke, Amy
Bovet, Pascal
Forrester, Terrence E
Lambert, Estelle V
Plange-Rhule, Jacob
Schoeller, Dale A
Dugas, Lara R
Durazo-Arvizu, Ramon A
Shoham, David
Cooper, Richard S
Brage, Soren
Ekelund, Ulf
Steyn, Nelia
Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk
author_facet Luke, Amy
Bovet, Pascal
Forrester, Terrence E
Lambert, Estelle V
Plange-Rhule, Jacob
Schoeller, Dale A
Dugas, Lara R
Durazo-Arvizu, Ramon A
Shoham, David
Cooper, Richard S
Brage, Soren
Ekelund, Ulf
Steyn, Nelia
author_sort Luke, Amy
title Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk
title_short Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk
title_full Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk
title_fullStr Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk
title_full_unstemmed Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk
title_sort protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk
publishDate 2011-12-14
url http://dx.doi.org/10.1186/1471-2458-11-927
http://hdl.handle.net/2139/12621
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