Browsing School of Public Health by Subject "Body Mass Index (BMI)"
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Puoane, Thandi (MedPharm Publications, 2008)[more][less]
Abstract: OBJECTIVE: To estimate the prevalence of overweight and obesity, and identify factors associated with Body Mass Index (BMI) and waist circumference (WC) among adults residing in an urban township in South Africa. DESIGN: Cross-sectional study. SETTING: Khayelitsha, a large black township located in Cape Town. SUBJECTS: 107 males and 530 females, aged ≥ 18 years. METHODS: The prevalence of overweight/obesity (BMI ³ 25 kg/m2) and abdominal obesity (WC ≥ 94 cm for men and ≥ 80 cm for women), and their relationship with factors previously found to increase the risk of obesity, such as age, gender, marital status, educational level, employment status, immigrant status from rural to urban, and physical activity level, were assessed using logistic regression analyses. RESULTS: The prevalence of obesity (BMI ³ 30 kg/m2) was 53.4% and 18.7%, and that of abdominal obesity was 71.5% and 23.4%, among women and men respectively. However, more women (21.3%) than men (11.2%) reported walking more than 45 minutes per day. Female gender and being married were associated with a high BMI and large WC. Recent migration was associated with a smaller WC. The level of physical activity was not associated with BMI or WC. CONCLUSIONS: These findings suggest that physical activity may play less of a role in obesity control, or that more than 45 minutes of physical activity per day is required to reduce the risk of obesity, especially in women. At least among South African women, obesity control focused on nutritional interventions may be more beneficial than increasing the intensity or duration of physical activity. URI: http://hdl.handle.net/10566/233 Files in this item: 1
MalhotraPuoaneSAJCN2008.pdf (303.1Kb) -
Joubert, Jane; Puoane, Thandi (South African Medical Association, 2007)[more][less]
Abstract: OBJECTIVE: To estimate the burden of disease attributable to excess body weight using the body mass index (BMI), by age and sex, in South Africa in 2000. DESIGN: World Health Organization comparative risk assessment (CRA) methodology was followed. Re-analysis of the 1998 South Africa Demographic and Health Survey data provided mean BMI estimates by age and sex. Population attributable fractions were calculated and applied to revised burden of disease estimates. Monte Carlo simulation-modelling techniques were used for the uncertainty analysis. SETTING: South Africa. SUBJECTS. Adults ≥ 30 years of age. OUTCOME MEASURES. Deaths and disability-adjusted life years (DALYs) from ischaemic heart disease, ischaemic stroke, hypertensive disease, osteoarthritis, type 2 diabetes mellitus, and selected cancers. RESULTS: Overall, 87% of type 2 diabetes, 68% of hypertensive disease, 61% of endometrial cancer, 45% of ischaemic stroke, 38% of ischaemic heart disease, 31% of kidney cancer, 24% of osteoarthritis, 17% of colon cancer, and 13% of postmenopausal breast cancer were attributable to a BMI ≥ 21 kg/m2. Excess body weight is estimated to have caused 36 504 deaths (95% uncertainty interval 31 018 - 38 637) or 7% (95% uncertainty interval 6.0 - 7.4%) of all deaths in 2000, and 462 338 DALYs (95% uncertainty interval 396 512 - 478 847) or 2.9% of all DALYs (95% uncertainty interval 2.4 - 3.0%). The burden in females was approximately double that in males. CONCLUSIONS: This study shows the importance of recognising excess body weight as a major risk to health, particularly among females, highlighting the need to develop, implement and evaluate comprehensive interventions to achieve lasting change in the determinants and impact of excess body weight. URI: http://hdl.handle.net/10566/284 Files in this item: 1
PuoaneEstimating2007.pdf (412.1Kb) -
Puoane, Thandi; Steyn, Kristela; Bradshaw, Debbie; Laubscher, Ria; Fourie, Jean; Lambert, Vicki; Mbanangwa, Nolwazi (Nature Publishing Group, 2002)[more][less]
Abstract: To ascertain the anthropometric profile and determinants of obesity in South Africans who participated in the Demographic and Health Survey in 1998. RESEARCH METHODS AND PROCEDURES: A sample of 13,089 men and women (age, _15 years) were randomly selected and then stratified by province and urban and nonurban areas. Height, weight, mid-upper arm circumference, and waist and hip circumference were measured. Body mass index (BMI) was used as an indicator of obesity, and the waist/hip ratio (WHR) was used as an indicator of abdominal obesity. Multivariate regression identified sociodemographic predictors of BMI and waist circumference in the data. RESULTS: Mean BMI values for men and women were 22.9 kg/m2 and 27.1 kg/m2, respectively. For men, 29.2% were overweight or obese (_25 kg/m2) and 9.2% had abdominal obesity (WHR _1.0), whereas 56.6% of women were overweight or obese and 42% had abdominal obesity (WHR _0.85). Underweight (BMI _18.5 kg/m2) was found in 12.2% of men and 5.6% of women. For men, 19% of the variation of BMI and 34% of the variation in waist circumference could be explained by age, level of education, population group, and area of residence. For women, these variables explained 16% of the variation of BMI and 24% of the variation in waist circumference. Obesity increased with age, and higher levels of obesity were found in urban African women. DISCUSSION: Overnutrition is prevalent among adult South Africans, particularly women. Determinants of overnutrition include age, level of education, ethnicity, and area of residence. URI: http://hdl.handle.net/10566/291 Files in this item: 1
PuoaneSurvey2002.pdf (63.15Kb)
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