1Department of Anthropology,Vidyasagar University,Midnapore, West Bengal,India.
2Department of Anthropology,Dinabandhu Mahavidyalaya,Bongaon,North 24 Parganas,743235 West Bengal,India.
Public Health Nutr. 2018 Oct;21(14):2575-2583. doi: 10.1017/S1368980018001301. Epub 2018 May 30.
To explore the possibility for a statistically appropriate value of mid-upper arm circumference (MUAC) to identify the state of severe undernutrition, based on very low BMI, among adult Indian slum dwellers.
Cross-sectional study on adults. Height and MUAC were recorded and BMI was computed. Chronic energy deficiency (CED) was determined using the WHO international guidelines as BMI<18·5 kg/m2 and normal as BMI≥18·5 kg/m2. Besides calculating mean, sd and 25th, 50th and 75th percentile values, multiple linear regression analysis was undertaken to assess the associations between age, MUAC and BMI. Receiver-operating characteristic curve analysis was performed to determine the best MUAC cut-off to identify CED status. The χ 2 test was used to assess significance of the difference in CED prevalence across MUAC categories.
An urban slum in Midnapore town, West Bengal State, India.
Male (n 467) and female (n 488) Indian slum dwellers.
MUAC of 22·7 and 21·9 cm, respectively, in males and females were the best cut-off points to differentiate CED from non-CED.
Results supported the validity of the WHO-recommended MUAC cut-offs for adults. There is still a need to establish statistically appropriate MUAC cut-offs to predict undernutrition and morbidity.
基于极低 BMI,探索上臂中部周长(MUAC)的统计上适当值,以确定印度贫民窟成年居民严重营养不良的状态。
成人横断面研究。记录身高和 MUAC,并计算 BMI。采用世界卫生组织国际指南确定慢性能量缺乏(CED):BMI<18·5 kg/m2 为正常,BMI≥18·5 kg/m2 为 CED。除了计算平均值、标准差以及 25、50 和 75 百分位值外,还进行了多元线性回归分析,以评估年龄、MUAC 和 BMI 之间的关联。进行受试者工作特征曲线分析,以确定识别 CED 状态的最佳 MUAC 截断值。使用卡方检验评估 MUAC 类别中 CED 患病率的差异是否具有统计学意义。
印度西孟加拉邦米德纳波尔镇的一个城市贫民窟。
印度贫民窟的男性(n=467)和女性(n=488)居民。
男性和女性的 MUAC 分别为 22·7 cm 和 21·9 cm,是区分 CED 和非 CED 的最佳截断值。
结果支持世界卫生组织推荐的 MUAC 截断值适用于成年人。仍然需要建立统计学上适当的 MUAC 截断值来预测营养不良和发病情况。