Engwa Godwill Azeh, Schmid-Zalaudek Karin, Anye Chungag, Letswalo Boitumelo P, Anye Paul Chungag, Mungamba Muhau Muhulo, Sewani-Rusike Constance Rufaro, Goswami Nandu, Nkeh-Chungag Benedicta Ngwenchi
Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University, Mthatha 5117, South Africa.
Physiology Division, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, Neue Stiftingtalstrasse 6, D-5 A 8036 Graz, Austria.
Biology (Basel). 2021 Oct 29;10(11):1118. doi: 10.3390/biology10111118.
The assessment of obesity in sub-Saharan Africa relies on cut-offs established from western populations. This study assessed anthropometric indices to determine optimal cut-off values for obesity screening in the South African adolescent population. A cross-sectional study involving 1144 (796 females and 348 males) adolescents aged 11-17 years from the Eastern Cape Province of South African was conducted. Anthropometric parameters were measured. Receiver operating characteristic (ROC) analysis was performed to assess the sensitivity and specificity of obesity screening tools and establish cut-offs. The optimal cut-offs for obesity in the cohort using waist-to-height ratio (WHtR) as reference were: neck circumference (NC) = 30.6 cm, mid-upper arm circumference (MUAC) = 25.9 cm, waist circumference (WC) = 75.1 cm, hip circumference (HC) = 92.15 cm and body mass index percentile (pBMI) = p85.2th. The new pBMI cut-off value at p85.2th improved the sensitivity of the test by approximately 30% compared to the CDC recommended BMI percentile (pBMIr) of p95.0th. When pBMI was used as reference, the optimal cut-offs in the cohort were: WHtR = 0.481, NC = 30.95 cm, MUAC = 27.95 cm, WC = 76.1 cm and HC = 95.75 cm. The WHtR optimal cut-off of 0.481 was close to the recommended cut-off value of 0.5. The predicted prevalence of obesity obtained using cut-offs from ROC analysis was higher than those from recommended references. All cut-off values for the various anthropometric measures generally increased with age for all percentile ranges. This study reveals a lower pBMI cut-off value, different from the CDC recommended cut-off, for screening obesity in a South African adolescent population. The study has established that the optimal pBMI cut-off for obesity screening may be ethnic-specific.
撒哈拉以南非洲地区对肥胖的评估依赖于根据西方人群确定的临界值。本研究评估了人体测量指标,以确定南非青少年人群中肥胖筛查的最佳临界值。开展了一项横断面研究,涉及来自南非东开普省的1144名(796名女性和348名男性)11至17岁青少年。测量了人体测量参数。进行了受试者操作特征(ROC)分析,以评估肥胖筛查工具的敏感性和特异性并确定临界值。以腰高比(WHtR)为参考,该队列中肥胖的最佳临界值为:颈围(NC)=30.6厘米,上臂中部周长(MUAC)=25.9厘米,腰围(WC)=75.1厘米,臀围(HC)=92.15厘米,体重指数百分位数(pBMI)=第85.2百分位。与美国疾病控制与预防中心(CDC)推荐的第95.0百分位的BMI百分位数(pBMIr)相比,新的第85.2百分位的pBMI临界值使检测的敏感性提高了约30%。当以pBMI为参考时,该队列中的最佳临界值为:WHtR = 0.481,NC = 30.95厘米,MUAC = 27.95厘米,WC = 76.1厘米,HC = 95.75厘米。0.481的WHtR最佳临界值接近推荐的0.5临界值。使用ROC分析得出的临界值预测的肥胖患病率高于推荐参考值得出的患病率。所有百分位范围内,各种人体测量指标的所有临界值一般都随年龄增加。本研究揭示了一个低于CDC推荐临界值的pBMI临界值,用于南非青少年人群的肥胖筛查。该研究已确定,肥胖筛查的最佳pBMI临界值可能因种族而异。