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Sociodemographic variations in obesity among Ghanaian adults

Published online by Cambridge University Press:  02 January 2007

Albert GB Amoah*
Affiliation:
Diabetes Research Laboratory, Department of Medicine and Therapeutics, University of Ghana Medical School, Post Office Box 4236, Accra, Ghana National Diabetes Management and Research Centre, Korle Bu Teaching Hospital, Accra, Ghana.
*
*Corresponding author: Email agbamoah@ghana.com
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Abstract

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Objectives:

To determine the sociodemographic associations of obesity in Ghana.

Design:

A cross-sectional descriptive study was conducted on a sample of 6300 adults aged 25 years and over who were selected by random cluster sampling.

Setting:

Two urban (high-class and low-class suburbs) and a rural community in Accra, Ghana.

Subjects and methods:

In total, 4731 (1857 males, 2874 females) subjects participated. Demographic data were obtained by a questionnaire and height and weight were determined with subjects in light clothing and without shoes.

Results:

The overall crude prevalence of overweight and obesity was 23.4 and 14.1%, respectively. The rates of overweight (27.1 vs. 17.5%) and obesity (20.2 vs. 4.6%) were higher in females than males. Obesity increased with age up to 64 years. There were more overweight and obesity in the urban high-class residents compared with the low-class residents and in urban than rural subjects. Overweight and obesity were highest among the Akan and Ga tribes and relatively low among Ewes. Subjects with tertiary education had the highest prevalence of obesity (18.8%) compared with less literate and illiterate subjects (12.5–13.8%). Subjects whose jobs were of a sedentary nature had higher levels of obesity (15%) than subjects whose jobs involved heavy physical activity (10%). Subjects who did not engage in leisure-time physical activity were more obese than those who had three or more sessions of leisure-time physical activity per week (15.3 vs. 13.5%).

Conclusions:

Overweight and obesity are common among residents in the Accra area. Older age, female gender, urban, high-class residence, sedentary occupation and tertiary education were associated with higher levels of obesity. Policies and programmes that promote healthy lifestyles may prove beneficial.

Type
Research Article
Copyright
Copyright © CAB International 2003

References

1Sorensen, TIA. The changing lifestyle in the world; body weight and what else. Diabetes Care 2000; 23: (Suppl. 2): B1–4.Google ScholarPubMed
2Siedell, JC. Time trends in obesity: an epidemiological perspective. Hormone and Metabolic Research 1997; 29: 155–8.CrossRefGoogle Scholar
3World Health Organization (WHO). Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation held on 3–5 June 1997. WHO/NUT/NCD/98.1. Geneva: WHO, 1998.Google Scholar
4Wickelgen, I. Obesity: how big a problem?. Science 1998; 280: 1364–7.CrossRefGoogle Scholar
5Stern, M. Epidemiology of obesity and its link to heart disease. Metabolism 1995; 44: (Suppl. 3): 13.CrossRefGoogle ScholarPubMed
6Ferrannini, E. Physiological and metabolic consequences of obesity. Metabolism 1995; 44: (Suppl. 3): 15–7.CrossRefGoogle ScholarPubMed
7Bjorntorp, P. Endocrine abnormalities in obesity. Metabolism: Clinical and Experimental 1995; 44: 2130.CrossRefGoogle Scholar
8Burton, BT, Foster, WR, Hirsch, J, Vanitallie, TB. Health implications of obesity: NIH consensus development conference. International Journal of Obesity and Related Metabolic Disorders 1998; 22: 3943.Google Scholar
9Deslypere, JP. Obesity and cancer. Metabolism 1995; 44: (Suppl. 3): 24–7.CrossRefGoogle ScholarPubMed
10Bray, GA. Health hazards of obesity. Endocrinology and Metabolism Clinics of North America 1996; 25: 907–19.CrossRefGoogle ScholarPubMed
11Popkin, BM. The nutrition transition in low-income countries: an emerging crisis. Nutrition Reviews 1994; 52: 285–98.CrossRefGoogle ScholarPubMed
12World Health Organization (WHO). Physical Status: The Use and Interpretation of Anthropometry. Report of a WHO Expert Committee. WHO Technical Report Series No. 854. Geneva: WHO, 1995.Google Scholar
13Berios, X, Koponen, T, Huiguang, T, Khltaev, N, Puska, P, Nissinen, A. Distribution and prevalence of major risk factors of noncommunicable diseases in selected countries: the WHO Inter-Health Programme. Bulletin of the World Health Organization 1997; 75: 99108.Google Scholar
14Steyn, K, Jooste, PL, Bourne, L, Fourie, J, Badenhorst, CJ, Bourne, DE, et al. Risk factors for coronary heart disease in the black population of the Cape Peninsula. The BRISK Study. South African Medical Journal 1991; 79: 480–5.Google ScholarPubMed
15United Nations (UN), Department of Economic and Social Affairs, Statistics Division. World Statistics Pocketbook. Series V, No. 20. New York: UN, 2000.Google Scholar
16Amoah, AGB, Owusu, SK, Adjei, S. Diabetes in Ghana: a community based prevalence studying Greater Accra. Diabetes Research and Clinical Practice 2002; 56: 197205.CrossRefGoogle Scholar
17Alberti, KGMM, Zimmet, PZ for the WHO Consultation. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of WHO Consultation. Diabetic Medicine 1998; 15: 539–53.3.0.CO;2-S>CrossRefGoogle ScholarPubMed
18World Health Organization (WHO). New Standard World Population. United Nations World Population Prospects 1991. World Health Statistics Annual. Geneva: WHO. 1993.Google Scholar
19Hennekens, CH, Buring, JE. Measures of disease frequency and association. In: Mayrent, SL, ed. Epidemiology in Medicine, 2nd edn. Boston/Toronto: Little, Brown and Company, 1987; 70–3.Google Scholar
20Poulter, NR, Khaw, K, Hopwood, BE, Mugambi, M, Peart, WS, Sever, PS. Determinants of blood pressure changes due to urbanization: a longitudinal study. Journal of Hypertension 1985; 3(Suppl. 3): 5375–7.Google ScholarPubMed
21Dodu, SRA. The incidence of diabetes mellitus in Accra (Ghana). A study of 4000 patients. West African Medical Journal 1958; 7: 129–34.Google Scholar
22Dodu, SRA, de Heer, N. A diabetes case-finding survey in Ho, Ghana. Ghana Medical Journal 1964; 3: 7580.Google Scholar
23Steyn, K, Bourne, L, Jooste, P, Fourie, JM, Rossouw, K, Lombard, C. Anthropometric profile of a black population of the Cape Peninsula in South Africa. East African Medical Journal 1998; 75: 3540.Google Scholar