Differences in Associated Factors of Underweight and Overweight According to Rural-Urban Residence Strata among Ever-Married Non-Pregnant Women of Reproductive Age in Bangladesh.

IF 1.1 Q4 MEDICINE, RESEARCH & EXPERIMENTAL

Malaysian Journal of Medical Sciences Pub Date : 2024-06-01 Epub Date: 2024-06-27 DOI:10.21315/mjms2024.31.3.18

Mst Sharmin Akter Sumy, Md Yasin Ali Parh, Most Sifat Muntaha Soni, Nayeem Saifuddin, Jannatul Ferdousi Elma, Hamid Zarei, Md Murad Hossain

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引用次数: 0

Abstract

Background: 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.

Methods: 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.

Results: It was found that around half of rural women (45.0%, N = 4,934) and more than half of urban women (60.3%, n = 3,913) were overweight. Nearly one in seven rural women (14.0%, n = 1,537) and 1 in 12 urban women (9.0%, n = 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 (P < 0.05; OR: 1.41; 95% CI: 1.03, 1.94) and rural (P < 0.05; OR: 1.23; 95% CI: 1.04, 1.46) areas. Interestingly, women without television access both in urban (P < 0.001; OR = 0.78; 95% CI: 0.67, 0.91) and rural (P < 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.

Conclusion: 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.

查看原文本刊更多论文

孟加拉国已婚非怀孕育龄妇女体重不足和体重超重的相关因素在城乡居住分层中的差异。

背景：本研究旨在比较孟加拉国已婚未孕育龄妇女中体重不足和超重的发生率：本研究旨在按城市或农村居民身份，比较孟加拉国已婚未孕育龄妇女体重不足和超重的发生率：本研究使用了孟加拉国人口与健康调查（BDHS）2017 年的数据。采用横断面研究设计，两阶段分层抽样法。选取了曾经结婚的非怀孕育龄妇女样本，并利用多项式逻辑回归进行分析：结果发现，约有一半的农村妇女（45.0%，n = 4,934 人）和超过一半的城市妇女（60.3%，n = 3,913 人）超重。据报告，近七分之一的农村妇女（14.0%，n = 1,537 人）和十二分之一的城市妇女（9.0%，n = 564 人）体重不足。我们的分析表明，超重与年龄、丈夫的职业、经济状况、收看电视的机会以及城市和农村地区的分区有很大关系。在城市（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，贫困家庭的妇女体重不足的可能性明显高于中等收入家庭的妇女。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）没有电视信号的妇女与有电视信号的妇女相比，超重/肥胖率呈负相关。在这两个地区，锡尔赫特（Sylhet）和迈门辛格（Mymensingh）的妇女体重不足的可能性高于巴里萨尔（Barisal）地区。此外，在这两个居住区，锡尔赫特妇女超重的可能性低于巴里萨尔区：本研究揭示了孟加拉国已婚未孕育龄妇女超重和体重不足的多种特征。为应对孟加拉国营养不良的双重挑战，公共卫生工作应优先解决这些变量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Malaysian Journal of Medical Sciences MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access, fully online journal that is published at least six times a year. The journal’s scope encompasses all aspects of medical sciences including biomedical, allied health, clinical and social sciences. We accept high quality papers from basic to translational research especially from low & middle income countries, as classified by the United Nations & World Bank (https://datahelpdesk.worldbank.org/knowledgebase/ articles/906519), with the aim that published research will benefit back the bottom billion population from these countries. Manuscripts submitted from developed or high income countries to MJMS must contain data and information that will benefit the socio-health and bio-medical sciences of these low and middle income countries. The MJMS editorial board consists of internationally regarded clinicians and scientists from low and middle income countries.