Predictors of adolescent weight status and central obesity in rural South Africa

Predictors of adolescent weight status and central obesity in rural South Africa
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DOI:
10.1017/s1368980011000139
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发表时间:
2011-06-01
影响因子:
3.2
通讯作者:
Norris, Shane A.
Norris, Shane A.
中科院分区:
医学3区
文献类型:
--
作者:
Kimani-Murage, Elizabeth W.;Kahn, Kathleen;Norris, Shane A.

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目的:探讨南非农村青少年肥胖的预测因素。设计:横断面研究。使用标准程序测量身高、体重和腰围。10-17岁青少年的超重和肥胖使用国际肥胖特别工作组的临界值进行评估,而18-20岁的参与者使用世卫组织的成人临界值。在坦纳3-5级的患者中,腰围与身高之比>0.5定义为中心性肥胖。线性和逻辑回归分析被用来评估风险factors.Setting:Agincourt分区,农村SouthAfrica.Subjects:参与者(n 1848)年龄在10-20 years.Results:合并超重和肥胖的女孩(15%)高于男孩(4%),是中心性肥胖(分别为15%和2%)。关于超重/肥胖,女孩的几率高出四倍,来自社会经济地位最高家庭的参与者的几率高出两倍。如果户主没有完成中学教育,超重/肥胖的几率要低40%。对于中心性肥胖,年龄每增加一个单位,其几率增加10%;女孩的几率比男孩高7倍;青春期后参与者的几率比青春期参与者高3倍;母亲年龄大于501岁的人的几率比母亲年龄在35-49岁的人高2倍; SES最高家庭的几率比SES最低家庭的几率高2倍。在南非农村,青少年女性最容易患肥胖症,肥胖症随着年龄的增长而增加,似乎与较高的社会经济地位有关。为了有效地进行干预,必须了解家庭因素如何影响食物选择、饮食和运动。
Objective: To investigate predictors of adolescent obesity in rural South Africa.Design: Cross-sectional study. Height, weight and waist circumference were measured using standard procedures. Overweight and obesity in adolescents aged 10-17 years were assessed using the International Obesity Taskforce cut-offs, while the WHO adult cut-offs were used for participants aged 18-20 years. Waist-to-height ratio of >0.5 defined central obesity in those at Tanner stages 3-5. Linear and logistic regression analysis was used to evaluate risk factors.Setting: Agincourt sub-district, rural South Africa.Subjects: Participants (n 1848) were aged 10-20 years.Results: Combined overweight and obesity was higher in girls (15%) than boys (4%), as was central obesity (15% and 2%, respectively). With regard to overweight/obesity, fourfold higher odds were observed for girls and twofold higher odds were observed for participants from households with the highest socio-economic status (SES). The odds for overweight/obesity were 40% lower if the household head had not completed secondary level education. For central obesity, the odds increased 10% for each unit increase in age; girls had sevenfold higher odds v. boys; postpubertal participants had threefold higher odds v. pubertal participants; those with older mothers aged 501 years had twofold higher odds v. those whose mothers were aged 35-49 years; those in highest SES households had twofold higher odds v. those in lowest SES households.Conclusions: In rural South Africa, adolescent females are most at risk of obesity which increases with age and appears to be associated with higher SES. To intervene effectively, it is essential to understand how household factors influence food choice, diet and exercise.