腰高比:埃努古市伊博人肥胖的可靠指标

Maxwell Ubanagu Odumeh, C. Anibeze, Rosemary Ngozi Njeze, N. Nto, E. Bello, E. Mgbe, N. Iloanusi
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引用次数: 1

摘要

背景:肥胖可以是全身性的,也可以是躯干性的,大多数与肥胖相关的病理都与机器人肥胖有关。肥胖的测量指标多种多样,因此需要一种简单、灵敏、准确的肥胖评估指标。目的:探讨一种简便、准确、灵敏的肥胖检测指标。方法:在埃努古大都市区进行横断面社区描述性调查。采用多阶段抽样程序,使用世界卫生组织STEPS工具选择参与者。获得了埃努古国家科技大学埃努古伦理委员会的伦理批准和同意。使用社会科学统计软件包(SPSS)第17版对获得的数据进行编码和分析,分为频率、百分比和平均值。使用卡方(x)检验比较分类变量的相关性,使用多标称逻辑回归检查相关性。p< 0.05,置信区间为95%。结果:共招募了482名参与者;其中,男性占33.2%,女性占66.8%。按BMI计算,肥胖95例(19.7%);WHR判定肥胖180例(37.3%);按体脂百分比计算肥胖94例(19.5%);体重肥胖214例(44.4%),体重肥胖230例(47.7%)。结论:WHtR在检测肥胖方面的优势在本研究中得到了明确的体现,可在临床中推广应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Waist to Height Ratio a reliable Indicator of Obesity in Igbos of Enugu Metropolis
Background: Obesity could be generalized or truncal/android and most of the pathologies linked to obesity is with the android obesity. There is multiplicity of indices for measuring obesity hence the need for simple but sensitive and accurate index of assessing obesity. Objective: the aim was to determine the index that is simple, accurate and sensitive in detecting obesity. Method: A cross-sectional community-based descriptive survey was carried out in Enugu Metropolis. Multistage sampling procedures were used to select participants using the World Health Organization STEPS instrument. Ethical approval and consents were duly and respectively obtained from the Ethics Committee of the Enugu state university of science and technology Enugu. The data obtained were coded and analyzed into frequencies, percentages and mean using the Statistical Package for Social Sciences (SPSS) version 17. Chi-square (x) test was used to compare categorical variables for associations while multi-nominal logistic regression was used to examine correlates. Statistical significance is set at p< 0.05 and 95% confidence interval. Result: A total of 482 participants were recruited; of which, 33.2% and 66.8% were males and females respectively. By BMI, 95(19.7%) were obese; 180(37.3%) were considered obese by WHR; 94(19.5%) were obese by %body fat; while 214(44.4%) were obese by WC and 230(47.7%) were obese by WHtR. Conclusion: The superiority of WHtR in detecting obesity is clearly demonstrated in this study and this can easily be applied in our clinics.
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