BMC Public Health | |
A mixed ecologic-cohort comparison of physical activity & weight among young adults from five populations of African origin | |
Richard S Cooper5  Ulf Ekelund7  Soren Brage3  Guichan Cao5  David A Shoham5  Ramon A Durazo-Arvizu5  Lara R Dugas5  Dale A Schoeller4  Estelle V Lambert8  Terrence E Forrester6  Jacob Plange-Rhule1  Pascal Bovet2  Amy Luke5  | |
[1] Kwame Nkrumah University of Science and Technology, Kumasi, Ghana;Institute of Social & Preventive Medicine, Lausanne University Hospital, Ministry of Health, Republic of Seychelles, Lausanne, Switzerland;MRC Epidemiology Unit, Addenbrooke’s Hospital, Cambridge, UK;University of Wisconsin, Madison, WI, USA;Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA;Tropical Medicine Research Institute, University of the West Indies, Mona, Kingston, Jamaica;Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway;Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa | |
关键词: Epidemiologic transition; Obesity; Physical activity; | |
Others : 1131485 DOI : 10.1186/1471-2458-14-397 |
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received in 2013-10-11, accepted in 2014-03-30, 发布年份 2014 | |
【 摘 要 】
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 25–45 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 (BMI ≥ 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 (r = -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.
【 授权许可】
2014 Luke et al.; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
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20150302145524679.pdf | 557KB | download | |
Figure 3. | 95KB | Image | download |
Figure 2. | 36KB | Image | download |
Figure 1. | 26KB | Image | download |
【 图 表 】
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【 参考文献 】
- [1]Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, Gortmaker SL: The global obesity pandemic: shaped by global drivers and local environments. Lancet 2011, 378:804-814.
- [2]Swinburn B, Sacks G, Ravussin E: Increased food energy supply is more than sufficient to explain the US epidemic of obesity. Am J Clin Nutr 2009, 90:1453-1456.
- [3]Hall KD, Sacks G, Chandramohan D, Chow CC, Wang YC, Gortmaker SL, Swinburn BA: Quantification of the effect of energy imbalance on bodyweight. Lancet 2011, 378:826-837.
- [4]Carvalho JJ, Baruzzi RG, Howard PF, Poulter N, Alpers MP, Franco LJ, Marcopito LF, Spooner VJ, Dyer AR, Elliott P, et al.: Blood pressure in four remote populations in the INTERSALT Study. Hypertension 1989, 14:238-246.
- [5]Dyer AR, Elliott P, INTERSALT Co-operative Research Group: The INTERSALT study: relations of body mass index to blood pressure. J Hum Hypertens 1989, 3:299-308.
- [6]Cooper R, Forrester T, Ogunbiyi O, Muffinda J: Angiotensinogen levels and obesity in four black populations ICSHIB Investigators. J Hypertens 1998, 16:571-575.
- [7]Cooper R, Rotimi C: Hypertension in blacks. Am J Hypertens 1997, 10:804-812.
- [8]Cooper R, Rotimi C, Ataman S, McGee D, Osotimehin B, Kadiri S, Muna W, Kingue S, Fraser H, Forrester T, Bennett F, Wilks R: The prevalence of hypertension in seven populations of west African origin. Am J Public Health 1997, 87:160-168.
- [9]Cooper RS, Guo X, Rotimi CN, Luke A, Ward R, Adeyemo A, Danilov SM: Heritability of angiotensin-converting enzyme and angiotensinogen: A comparison of US blacks and Nigerians. Hypertension 2000, 35:1141-1147.
- [10]Rose G: Sick individuals and sick populations. Int J Epidemiol 1985, 14:32-38.
- [11]Luke A, Bovet P, Forrester TE, Lambert EV, Plange-Rhule J, Schoeller DA, Dugas LR, Durazo-Arvizu RA, Shoham D, Cooper RS, Brage S, Ekelund U, Steyn NP: 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. BMC Public Health 2011, 11:927. BioMed Central Full Text
- [12]Barro RJ, Lee JW: A New Data Set of Educational Attainment in the World, 1950–2010. Cambridge, MA: The National Bureau of Economic Research; 2011.
- [13]Luke A, Durazo-Arvizu R, Rotimi C, Prewitt TE, Forrester T, Wilks R, Ogunbiyi OJ, Schoeller DA, McGee D, Cooper RS: Relation between body mass index and body fat in black population samples from Nigeria, Jamaica, and the United States. Am J Epidemiol 1997, 145:620-628.
- [14]Trost SG, McIver KL, Pate RR: Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc 2005, 37:S531-543.
- [15]Wong SL, Colley R, Connor Gorber S, Tremblay M: Actical accelerometer sedentary activity thresholds for adults. J Phys Act Health 2011, 8:587-591.
- [16]Colley RC, Tremblay MS: Moderate and vigorous physical activity intensity cut-points for the Actical accelerometer. J Sports Sci 2011, 29:783-789.
- [17]Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M: Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008, 40:181-188.
- [18]Core Welfare Indicators Questionnaire: The World Bank Group. 2013. http://siteresources.worldbank.org/INTSTATINAFR/Resources/cwiq2000.pdf webcite
- [19]Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G: Indicators of socioeconomic position (part 2). J Epidemiol Community Health 2006, 60:95-101.
- [20]Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G: Indicators of socioeconomic position (part 1). J Epidemiol Community Health 2006, 60:7-12.
- [21]Armstrong T, Bull F: Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J Public Health 2006, 14:66-70.
- [22]Bitvise Tunnelier. [http://www.bitvise.com/tunnelier webcite]
- [23]DerSimonian R, Laird N: Meta-analysis in clinical trials. Control Clin Trials 1986, 7:177-188.
- [24]Physical activity guidelines for Americans Okla Nurse 2008, 53:25.
- [25]Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, Nieman DC, Swain DP: American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc 2011, 43:1334-1359.
- [26]Ebersole KE, Dugas LR, Durazo-Arvizut RA, Adeyemo AA, Tayo BO, Omotade OO, Brieger WR, Schoeller DA, Cooper RS, Luke AH: Energy expenditure and adiposity in Nigerian and African-American women. Obesity (Silver Spring) 2008, 16:2148-2154.
- [27]Luke A, Dugas LR, Ebersole K, Durazo-Arvizu RA, Cao G, Schoeller DA, Adeyemo A, Brieger WR, Cooper RS: Energy expenditure does not predict weight change in either Nigerian or African American women. Am J Clin Nutr 2009, 89:169-176.
- [28]Kohl HW, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, Kahlmeier S: The pandemic of physical inactivity: global action for public health. Lancet 2012, 380:294-305.
- [29]Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT: Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012, 380:219-229.
- [30]Dugas LR, Harders R, Merrill S, Ebersole K, Shoham DA, Rush EC, Assah FK, Forrester T, Durazo-Arvizu RA, Luke A: Energy expenditure in adults living in developing compared with industrialized countries: a meta-analysis of doubly labeled water studies. Am J Clin Nutr 2011, 93:427-441.
- [31]Pontzer H, Raichlen DA, Wood BM, Mabulla AZ, Racette SB, Marlowe FW: Hunter-gatherer energetics and human obesity. PLoS One 2012, 7:e40503.
- [32]Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U: Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 2012, 380:247-257.
- [33]Hallal PC, Matsudo S, Farias JC Jr: Measurement of physical activity by self-report in low- and middle-income countries: more of the same is not enough. J Phys Act Health 2012, 1(9):S88-90.
- [34]Luke A, Adeyemo AA, Tayo B, Durazo-Arvizu RA, Schoeller DA, Leman C, Cooper RS: Energy expenditure, adiposity and weight gain in Yoruba and African-American women. Obes Rev 2006, 2(7):AOP0183.
- [35]Luke A, Durazo-Arvizu RA, Rotimi CN, Iams H, Schoeller DA, Adeyemo AA, Forrester TE, Wilks R, Cooper RS: Activity energy expenditure and adiposity among black adults in Nigeria and the United States. Am J Clin Nutr 2002, 75:1045-1050.
- [36]Gurven M, Jaeggi AV, Kaplan H, Cummings D: Physical Activity and Modernization among Bolivian Amerindians. PLoS One 2013, 8:e55679.
- [37]Assah FK, Ekelund U, Brage S, Mbanya JC, Wareham NJ: Urbanization, physical activity, and metabolic health in sub-Saharan Africa. Diabetes Care 2011, 34:491-496.
- [38]Christensen DL, Faurholt-Jepsen D, Boit MK, Mwaniki DL, Kilonzo B, Tetens I, Kiplamai FK, Cheruiyot SC, Friis H, Borch-Johnsen K, Wareham NJ, Brage S: Cardiorespiratory fitness and physical activity in Luo, Kamba, and Maasai of rural Kenya. Am J Hum Biol 2012, 24:723-729.
- [39]Assah FK, Ekelund U, Brage S, Wright A, Mbanya JC, Wareham NJ: Accuracy and validity of a combined heart rate and motion sensor for the measurement of free-living physical activity energy expenditure in adults in Cameroon. Int J Epidemiol 2011, 40:112-120.
- [40]Hill JO: Understanding and addressing the epidemic of obesity: an energy balance perspective. Endocr Rev 2006, 27:750-761.
- [41]Hill JO, Wyatt HR, Peters JC: Energy balance and obesity. Circulation 2012, 126:126-132.
- [42]Hill JO, Peters JC, Wyatt HR: Using the energy gap to address obesity: a commentary. J Am Diet Assoc 2009, 109:1848-1853.
- [43]Westerterp KR: Assessment of physical activity: a critical appraisal. Eur J Appl Physiol 2009, 105:823-828.
- [44]Guthold R, Louazani SA, Riley LM, Cowan MJ, Bovet P, Damasceno A, Sambo BH, Tesfaye F, Armstrong TP: Physical activity in 22 African countries: results from the World Health Organization STEPwise approach to chronic disease risk factor surveillance. Am J Prev Med 2011, 41:52-60.
- [45]Plasqui G, Westerterp KR: Physical activity assessment with accelerometers: an evaluation against doubly labeled water. Obesity (Silver Spring) 2007, 15:2371-2379.