Institute of Statistical Research and Training, University of Dhaka, Bangladesh.
Transport and Road Safety (TARS) Research Centre, School of Aviation, University of New South Wales, Australia.
J Biosoc Sci. 2021 Mar;53(2):247-265. doi: 10.1017/S0021932020000176. Epub 2020 Apr 7.
This study explored the association between socio-demographic factors and the body mass index (BMI) of women of reproductive age (15-49 years) in Bangladesh. Data from the 2014 Bangladesh Demographic and Health Survey (BDHS-14) were analysed using Multiple Linear Regression (MLR) and Quantile Regression (QR) analyses. The study sample comprised 15,636 non-pregnant women aged 15-49. The mean BMI of the women was 22.35±4.12 kg/m2. Over half (56.75%) had a BMI in the normal range (18<BMI<25 kg/m2), and 18.50%, 20.00% and 4.75% were underweight (BMI≤18 kg/m2), overweight (25≤BMI<30 kg/m2) and obese (BMI≥30 kg/m2), respectively. The results of the MLR found that age, wealth index, urban/rural place of residence, geographical division, women's educational status, husband's educational status, women's working status and total number of children ever born were significantly (p<0.001) associated with respondents' mean BMI. The QR results showed different associations between socio-demographic factors and mean BMI, as well as a different conditional distribution of mean BMI. Overall, the results indicated that women with uneducated husbands, with little or no education and from less-affluent households from rural areas tended to be more underweight compared with women in other groups. The inter-relationship between the study women's mean BMI and associated socio-demographic factors was assessed using QR analysis to identify the most vulnerable cohorts of women in Bangladesh.
本研究探讨了孟加拉国育龄妇女（15-49 岁）的社会人口因素与体重指数（BMI）之间的关联。使用多元线性回归（MLR）和分位数回归（QR）分析方法对 2014 年孟加拉国人口与健康调查（BDHS-14）的数据进行了分析。研究样本包括 15636 名年龄在 15-49 岁之间的未怀孕妇女。这些妇女的平均 BMI 为 22.35±4.12kg/m2。超过一半（56.75%）的人 BMI 在正常范围内（18<BMI<25kg/m2），18.50%、20.00%和 4.75%的人体重不足（BMI≤18kg/m2）、超重（25≤BMI<30kg/m2）和肥胖（BMI≥30kg/m2）。MLR 的结果发现，年龄、财富指数、城乡居住地点、地理分区、妇女教育程度、丈夫教育程度、妇女工作状况和生育子女总数与受访者的平均 BMI 显著相关（p<0.001）。QR 结果表明，社会人口因素与平均 BMI 之间存在不同的关联，以及平均 BMI 的不同条件分布。总体而言，结果表明，与其他群体的妇女相比，丈夫未受教育、受教育程度较低或没有教育、来自较贫困家庭的农村妇女往往体重不足。使用 QR 分析评估研究妇女的平均 BMI 与相关社会人口因素之间的相互关系，以确定孟加拉国最脆弱的妇女群体。
