Sumy Mst Sharmin Akter, Parh Md Yasin Ali, Soni Most Sifat Muntaha, Saifuddin Nayeem, Elma Jannatul Ferdousi, Zarei Hamid, Hossain Md Murad
Department of Bioinformatics and Biostatistics, University of Louisville, Kentucky, USA.
Department of Statistics, Islamic University, Kushtia, Bangladesh.
Malays J Med Sci. 2024 Jun;31(3):229-240. doi: 10.21315/mjms2024.31.3.18. Epub 2024 Jun 27.
This study sought to compare the prevalence of underweight and overweight among ever-married, non-pregnant women of reproductive age in Bangladesh by urban or rural residency status.
This study used Bangladesh Demographic and Health Survey (BDHS), 2017 data. Cross-sectional study design with two-stage stratified sampling method was employed. A sample of ever-married non-pregnant women of reproductive age was selected and multinomial logistic regression was utilised in analysis.
It was found that around half of rural women (45.0%, = 4,934) and more than half of urban women (60.3%, = 3,913) were overweight. Nearly one in seven rural women (14.0%, = 1,537) and 1 in 12 urban women (9.0%, = 564) were reported as underweight. Our analyses revealed that being overweight was substantially connected with age, husband's occupation, economic status, television access, and division for both urban and rural areas. Women from poor households were significantly more likely to be underweight than women from middle- income households for both urban ( < 0.05; OR: 1.41; 95% CI: 1.03, 1.94) and rural ( < 0.05; OR: 1.23; 95% CI: 1.04, 1.46) areas. Interestingly, women without television access both in urban ( < 0.001; OR = 0.78; 95% CI: 0.67, 0.91) and rural ( < 0.001; OR = 0.75; 95% CI: 0.68, 0.84) areas had an inverse association with overweight/obesity compared to women with television access. In both areas, women in Sylhet and Mymensingh had higher likelihood of being underweight than Barisal division. Additionally, in both residential zones, women in Sylhet had lower likelihood of being overweight than Barisal division.
This study reveals that multiple characteristics are linked to both overweight and underweight among ever-married, non-pregnant women of reproductive age in Bangladesh. Addressing these variables should be a priority in public health efforts to combat the dual challenge of malnutrition in Bangladesh.
本研究旨在比较孟加拉国城乡常住的已婚育龄非孕妇中体重过轻和超重的患病率。
本研究使用了2017年孟加拉国人口与健康调查（BDHS）的数据。采用两阶段分层抽样方法的横断面研究设计。选取已婚育龄非孕妇样本，并在分析中使用多项逻辑回归。
发现约一半的农村女性（45.0%，n = 4934）和超过一半的城市女性（60.3%，n = 3913）超重。近七分之一的农村女性（14.0%，n = 1537）和十二分之一的城市女性（9.0%，n = 564）被报告体重过轻。我们的分析表明，超重与年龄、丈夫职业、经济状况、是否有电视以及城乡地区划分都有很大关联。对于城市（p < 0.05；OR：1.41；95% CI：1.03，1.94）和农村（p < 0.05；OR：1.23；95% CI：1.04，1.46）地区，贫困家庭的女性比中等收入家庭的女性体重过轻的可能性显著更高。有趣的是，城市（p < 0.001；OR = 0.78；95% CI：0.67，0.91）和农村（p < 0.001；OR = 0.75；95% CI：0.68，0.84）地区没有电视的女性与有电视的女性相比，超重/肥胖呈负相关。在两个地区，锡尔赫特和迈门辛的女性体重过轻的可能性高于巴里萨尔分区。此外，在两个居住区域，锡尔赫特的女性超重的可能性低于巴里萨尔分区。
本研究表明，孟加拉国已婚育龄非孕妇中，多种特征与体重过轻和超重都有关联。在应对孟加拉国营养不良这一双重挑战的公共卫生工作中，解决这些变量应是优先事项。
