Browsing by Author "Shoham, David A"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    A mixed ecologic-cohort comparison of physical activity and weight among young adults from five populations of African origin
    (2014-04-24) Luke, Amy; Bovet, Pascal; Plange-Rhule, Jacob; Forrester, Terrence E; Lambert, Estelle V; Schoeller, Dale A; Dugas, Lara R; Durazo-Arvizu, Ramon A; Shoham, David A; Cao, Guichan; Brage, Soren; Ekelund, Ulf; Cooper, Richard S
    Abstract Background Examination of patterns and intensity of physical activity (PA) across cultures where obesity prevalence varies widely provides insight into one aspect of the ongoing epidemiologic transition. The primary hypothesis being addressed is whether low levels of PA are associated with excess weight and adiposity. Methods We recruited young adults from five countries (500 per country, 2500 total, ages 25and#8211;45and#160;years), spanning the range of obesity prevalence. Men and women were recruited from a suburb of Chicago, Illinois, USA; urban Jamaica; rural Ghana; peri-urban South Africa; and the Seychelles. PA was measured using accelerometry and expressed as minutes per day of moderate-to-vigorous activity or sedentary behavior. Results Obesity (BMIand#8201;and#8805;and#8201;30) prevalence ranged from 1.4% (Ghanaian men) to 63.8% (US women). South African men were the most active, followed by Ghanaian men. Relatively small differences were observed across sites among women; however, women in Ghana accumulated the most activity. Within site-gender sub-groups, the correlation of activity with BMI and other measures of adiposity was inconsistent; the combined correlation across sites was -0.17 for men and -0.11 for women. In the ecological analysis time spent in moderate-to-vigorous activity was inversely associated with BMI (rand#8201;=and#8201;-0.71). Conclusion These analyses suggest that persons with greater adiposity tend to engage in less PA, although the associations are weak and the direction of causality cannot be inferred because measurements are cross-sectional. Longitudinal data will be required to elucidate direction of association.