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, womenʼs educational status, husbandʼs educational status, womenʼs 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 womenʼs mean BMI and associated socio-demographic factors was assessed using QR analysis to identify the most vulnerable cohorts of women in Bangladesh.

中文翻译：

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孟加拉国女性的体重指数：比较多元线性回归和分位数回归

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）之间的关系。使用多元线性回归 (MLR) 和分位数回归 (QR) 分析对 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 15,636 名 15-49 岁的非孕妇。女性的平均 BMI 为 22.35±4.12 kg/m2. 超过一半 (56.75%) 的 BMI 在正常范围内 (18<BMI<25 kg/m2), 18.50%, 20.00% 和 4.75% 体重过轻 (BMI≤18 kg/m2)、超重（25≤BMI<30 kg/m2) 和肥胖 (BMI≥30 kg/m2）， 分别。MLR的结果发现，年龄、财富指数、城乡居住地、地域划分、女性受教育程度、丈夫受教育程度、女性工作状况和生育子女总数显着（p<0.001) 与受访者的平均 BMI 相关。QR 结果显示了社会人口因素与平均 BMI 之间的不同关联，以及平均 BMI 的不同条件分布。总体而言，结果表明，与其他群体的女性相比，丈夫未受过教育、受过很少或没有受过教育以及来自农村地区较不富裕家庭的女性往往体重不足。使用 QR 分析评估研究女性的平均 BMI 和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女性群体。