Sex Differences Independent of Other Psycho-sociodemographic Factors as a Predictor of Body Mass Index in Black South African Adults

Sex Differences Independent of Other Psycho-sociodemographic Factors as a Predictor of Body Mass Index in Black South African Adults
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DOI:
10.3329/jhpn.v30i1.11277
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发表时间:
2012-03-01
影响因子:
1.9
通讯作者:
Doak, Colleen M.
Doak, Colleen M.
中科院分区:
医学3区
文献类型:
--
作者:
Kruger, Annamarie;Wissing, Maria P.;Doak, Colleen M.

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为了更好地了解南非黑人成年人在南非城市化研究中观察到的体重指数(BMI)的性别差异,本研究调查了这些差异是否可以由心理社会人口因素和/或健康相关行为来解释。对来自37个研究地点的1 842名南非黑人进行了横断面调查,这些研究地点代表了五个城市化水平。可能对体重结果产生影响的行为因素包括:饮食、吸烟、教育水平、HIV感染、就业状况、城市化水平、酒精摄入、体力活动和神经质。探讨的生物学因素是年龄和性别。分别测定了男性和女性体重不足、正常体重和超重的流行率。通过对正态分布变量进行Student t检验,对非正态分布变量进行Mann-Whitney U检验,比较变量的平均值。在与按性别分别分层的正常体重个体进行比较后,对体重不足和超重组的平均值进行了检验,以确定是否存在显著差异。患病率的差异采用卡方检验进行检验(p
To better understand the sex differences in body mass index (BMI) observed in black South African adults in the Transition and Health during Urbanization of South Africans Study, the present study investigated whether these differences can be explained by the psycho-sociodemographic factors and/or health-related behaviours. A cross-sectional survey was undertaken among 1,842 black South African individuals from 37 study sites that represented five levels of urbanization. The behavioural factors that possibly could have an influence on the outcome of body-weight and that were explored included: diet, smoking, level of education, HIV infection, employment status, level of urbanization, intake of alcohol, physical activity, and neuroticism. The biological factors explored were age and sex. The prevalence of underweight, normal weight, and overweight among men and women was separately determined. The means of the variables were compared by performing Student's t-test for normally-distributed variables and Mann-Whitney U-test for non-normally-distributed variables. The means for the underweight and overweight groups were tested for significant differences upon comparison with normal-weight individuals stratified separately for sex. The differences in prevalence were tested using chi-square tests (p