Epidemiological correlates of overweight and obesity in the Northern Cape Province, South Africa

被引:4
作者
Smith, Mackenzie H. [1 ]
Myrick, Justin W. [2 ]
Oyageshio, Oshiomah [3 ]
Uren, Caitlin [4 ,5 ]
Saayman, Jamie [4 ]
Boolay, Sihaam [4 ]
van der Westhuizen, Lena [2 ]
Werely, Cedric [4 ]
Moeller, Marlo [4 ,5 ]
Henn, Brenna M. [2 ]
Reynolds, Austin W. [1 ]
机构
[1] Baylor Univ, Dept Anthropol, Waco, TX 76706 USA
[2] Univ Calif Davis, UC Davis Genome Ctr, Dept Anthropol, Davis, CA USA
[3] Univ Calif Davis, Ctr Populat Biol, Davis, CA USA
[4] Univ Stellenbosch, Fac Med & Hlth Sci, DSI NRF Ctr Excellence Biomed TB Res, South African Med Res Council Ctr TB Res,Div Mol B, Cape Town, South Africa
[5] Univ Stellenbosch, Ctr Bioinformat & Comp Biol, Cape Town, South Africa
来源
PEERJ | 2023年 / 11卷
关键词
BODY-MASS INDEX; MIDDLE-INCOME COUNTRIES; ANTHROPOMETRIC PROFILE; BMI; POPULATION; PREVALENCE; RISK; PERCEPTIONS; ASSOCIATION; RICH;
D O I
10.7717/peerj.14723
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: In the past several decades, obesity has become a major public health issue worldwide, associated with increased rates of chronic disease and death. Like many developing nations, South Africa is experiencing rapid increases in BMI, and as a result, evidence-based preventive strategies are needed to reduce the increasing burden of overweight and obesity. This study aimed to determine the prevalence and predictors of overweight and obesity among a multi-ethnic cohort from the rural Northern Cape of South Africa.Methods: These data were collected as part of a tuberculosis (TB) case-control study, with 395 healthy control participants included in the final analysis. Overweight and obesity were defined according to WHO classification. Multivariate linear models of BMI were generated using sex, age, education level, smoking, alcohol consumption, and diabetes as predictor variables. We also used multivariable logistic regression analysis to assess the relationship of these factors with overweight and obesity.Results: The average BMI in our study cohort was 25.2. The prevalence of overweight was 18.0% and the prevalence of obesity was 25.0%. We find that female sex, being older, having more years of formal education, having diabetes, and being in a rural area are all positively associated with BMI in our dataset. Women (OR = 5.6, 95% CI [3.3-9.8]), rural individuals (OR = 3.3, 95% CI [1.9-6.0]), older individuals (OR = 1.02, 95% CI [1-1.04]), and those with more years of education (OR = 1.2, 95% CI [1.09-1.32]) were all more likely to be overweight or obese. Alternatively, being a smoker is negatively associated with BMI and decreases one's odds of being overweight or obese (OR = 0.28, 95% CI [0.16-0.46]).Conclusions: We observed a high prevalence of overweight and obesity in this study. The odds of being overweight and obese were higher in women, those living in rural areas, and those with more education, and increases with age. Community-based
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