Department of Food Biofunctionality, Institute of Nutritional Sciences, University of Hohenheim, 70599 Stuttgart, Germany.
Faculty of Health Sciences, Lúrio University, Nampula 3100, Mozambique.
Int J Environ Res Public Health. 2021 Aug 30;18(17):9128. doi: 10.3390/ijerph18179128.
The increasing prevalence of overweight/obesity may already have reached the farmers in Tanzania and Mozambique. Here, the measurement of the mid-upper-arm-circumference (MUAC) could become a simple and sensitive tool for early detection of at-risk groups of overweight as well as underweight. Body Mass Index (BMI) and MUAC of female and male farmers ( = 2106) from different regions of Tanzania and the Zambézia province, Mozambique, were analyzed by region, sex, age, and correlates. MUAC cut-offs, calculated via BMI cut-offs (<18.5, ≥25, and ≥30 kg/m), and multiple linear regression (MLR), compared to those selected by highest Youden's index (YI) value, were assessed. The study showed an overall higher prevalence of overweight (19%) than underweight (10%) due to the high number of overweight female farmers (up to 35%) in southern Tanzania. BMI, which was mainly and positively predicted by MUAC, was higher in Tanzania and among female farmers, and decreased significantly from the age of ≥65 years. MUAC cut-offs of <24 cm and ≥30.5 cm, calculated by MLR, detected 55% of farmers being underweight and 74% being overweight, with a specificity of 96%; the higher cut-off <25 cm and lower cut-off ≥29 cm, each selected according to YI, consequently detected more underweight (80%) and overweight farmers (91%), but on the basis of a lower specificity (87-88%). Overweight was evident among female farmers in East Africa. MUAC cut-offs, whether defined via linear regression or Youden's Index, could prove to be easy-to-use tools for large-scale screenings of both underweight and overweight.
超重/肥胖的患病率不断上升,可能已经在坦桑尼亚和莫桑比克的农民中出现。在这里,中上臂围(MUAC)的测量可能成为一种简单而敏感的工具,可以早期发现超重和体重不足的高危人群。通过对坦桑尼亚不同地区和莫桑比克赞比西亚省的女性和男性农民(=2106 人)的身体质量指数(BMI)和 MUAC 进行分析,按地区、性别、年龄和相关性进行了分析。通过 BMI 切点(<18.5、≥25 和≥30kg/m)计算的 MUAC 切点,以及与通过最高 Youden 指数(YI)值选择的切点进行了比较。研究表明,由于南部坦桑尼亚超重女性农民(高达 35%)人数众多,超重的患病率(19%)高于体重不足(10%)。BMI 主要由 MUAC 正向预测,在坦桑尼亚和女性农民中较高,且≥65 岁时显著降低。通过 MLR 计算得出的 MUAC 切点<24cm 和≥30.5cm 可检测出 55%的农民体重不足和 74%的超重,特异性为 96%;较高的切点<25cm 和较低的切点≥29cm,根据 YI 分别选择,可检测到更多的体重不足(80%)和超重(91%)农民,但特异性较低(87-88%)。东非的女性农民中明显存在超重现象。MUAC 切点无论是通过线性回归还是 Youden 指数定义,都可能成为筛查体重不足和超重的简便工具。