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孟加拉国育龄妇女营养不良和营养过剩的决定因素:使用空间建模进行趋势分析。

Determinants of undernutrition and overnutrition among reproductive-age women in Bangladesh: Trend analysis using spatial modeling.

机构信息

Central University of South Bihar, Gaya, Bihar, India.

Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, United States of America.

出版信息

PLoS One. 2023 Jul 18;18(7):e0282998. doi: 10.1371/journal.pone.0282998. eCollection 2023.

DOI:10.1371/journal.pone.0282998
PMID:37463176
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10353797/
Abstract

BACKGROUND

Bangladesh is facing a dual burden of malnutrition, with high rates of undernutrition and increasing rates of overnutrition. The complex scenario of malnutrition in Bangladesh varies across different regions, making it a challenging public health concern to address.

OBJECTIVES

This study analyzes the spatial and temporal dependence of underweight and overweight Bangladeshi women of reproductive age.

METHODS

Nationally representative cross-sectional data from the Bangladesh Demographic and Health Surveys in 2014 and 2017-18 were utilized to study the changes in weight status in 15-49-year-old women who were either underweight or overweight. A Bayesian geo-additive regression model was used to account for non-linear and linear effects of continuous and categorical covariates and to incorporate spatial effects of geographical divisions.

RESULTS

The prevalence of overweight or obese women in rural, city corporations, and other urban areas increased significantly over the four years from 2014 to 2017-18. Women in the categories 'richer' and 'richest' were more likely to be overweight or obese. Women from Sylhet were more likely to be underweight in both survey years; however, the spatial effects were significant for underweight women in Mymensingh for the year 2017-18. Women in Rajshahi and Khulna were more likely to be overweight or obese in 2014, and women from Barishal and Chittagong were more likely to be overweight in the year 2017-18.

CONCLUSIONS

Underweight and overweight statuses in women vary unevenly across Bangladesh, with a substantially higher prevalence of overweight or obese women in more urbanized areas. The growing burden of overweight and obesity among Bangladeshi women should be addressed with interventions aimed at those in the reproductive age group.

摘要

背景

孟加拉国面临着营养不良的双重负担,存在着较高的营养不足率和不断上升的营养过剩率。孟加拉国营养不良的复杂情况因地区而异,这是一个具有挑战性的公共卫生问题。

目的

本研究分析了孟加拉国育龄期妇女体重不足和超重的空间和时间依赖性。

方法

利用 2014 年和 2017-18 年孟加拉国人口与健康调查的全国代表性横断面数据,研究了 15-49 岁体重不足或超重的妇女体重状况的变化。采用贝叶斯地理附加回归模型来解释连续和分类协变量的非线性和线性效应,并纳入地理区域的空间效应。

结果

在 2014 年至 2017-18 年的四年间,农村、城市公司和其他城市地区超重或肥胖妇女的比例显著增加。较富裕和最富裕类别的妇女更有可能超重或肥胖。在这两年的调查中,来自锡尔赫特的妇女更有可能体重不足;然而,2017-18 年孟买辛哈的体重不足妇女的空间效应显著。2014 年,拉杰沙希和库尔纳的妇女更有可能超重或肥胖,而 2017-18 年,巴里萨尔和吉大港的妇女更有可能超重。

结论

孟加拉国妇女的体重不足和超重状况分布不均,城市化程度较高的地区超重或肥胖妇女的比例明显更高。孟加拉国超重和肥胖妇女的负担不断增加,应针对育龄妇女采取干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/2cb6df187a35/pone.0282998.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/eeb9275e4b9e/pone.0282998.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/f679e0ebdad5/pone.0282998.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/58a073f4a965/pone.0282998.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/60f7bf9a0e99/pone.0282998.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/2cb6df187a35/pone.0282998.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/eeb9275e4b9e/pone.0282998.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/f679e0ebdad5/pone.0282998.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/58a073f4a965/pone.0282998.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/60f7bf9a0e99/pone.0282998.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de22/10353797/2cb6df187a35/pone.0282998.g005.jpg

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