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2012年至2019年孟加拉国儿童发育迟缓变化的趋势和影响因素:多变量分解模型

Trends and factors contributing to changes in childhood stunting in Bangladesh from 2012 to 2019: A multivariate decomposition modelling.

作者信息

Kundu Satyajit, Aboagye Richard Gyan, Chowdhury Syed Sharaf Ahmed, Banna Md Hasan Al, Rahman Md Ashfikur, Dey Rakhi, Ahmed Faruk

机构信息

Faculty of Nutrition and Food Science, Patuakhali Science and Technology University, Patuakhali, Bangladesh.

Public Health, School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.

出版信息

PLOS Glob Public Health. 2025 Jul 15;5(7):e0004890. doi: 10.1371/journal.pgph.0004890. eCollection 2025.

Abstract

Although the prevalence of childhood stunting has reduced in Bangladesh over time, it is still considered a major public health issue. While research has determined the risk factors for childhood stunting in Bangladesh, the factors that lead to reductions in stunting have received very little attention. Hence, we examined the factors contributing to the changes in childhood stunting over time in Bangladesh using a decomposition approach. In this study, data on childhood stunting of 41,013 under-5 children (U5C) were utilized from the Multiple Indicator Cluster Survey (MICS) 2012 and 2019, which are nation-wide cross-sectional surveys. Mixed-effect logistic regression analysis was adopted to identify the predictors of childhood stunting, and multivariate decomposition analysis was used to examine the factors contributing to the changes in childhood stunting over time. The prevalence of stunting declined from 41.9% in 2012 to 28.0% in 2019. Regression analysis showed that lower education of household head and mothers, older children, lower wealth status of households, unimproved sanitation facilities, and being urban residents were significant predictors of childhood stunting. The decomposition analysis revealed that around 86% of the overall decline in stunting resulted from the differences in the effect of independent variables. Furthermore, children's age, maternal education, place of residence, and regions were significant factors contributing to the decline in childhood stunting prevalence over time based on both compositional and behavioral changes in these factors. Although childhood stunting has decreased in Bangladesh over time, the current prevalence remains high. Over 86% of the overall decline in stunting was due to the differences in the effect of independent variables. Interventions targeting children of mothers with lower education, infants, rural children, and children from households with lower wealth status and unimproved sanitation facilities may help to reduce the stunting prevalence in Bangladesh.

摘要

尽管随着时间的推移,孟加拉国儿童发育迟缓的患病率有所下降,但它仍然被视为一个主要的公共卫生问题。虽然研究已经确定了孟加拉国儿童发育迟缓的风险因素,但导致发育迟缓率下降的因素却很少受到关注。因此,我们采用分解方法研究了孟加拉国儿童发育迟缓随时间变化的影响因素。在本研究中,我们使用了2012年和2019年多指标类集调查(MICS)中41,013名5岁以下儿童(U5C)的儿童发育迟缓数据,这两项调查均为全国性横断面调查。采用混合效应逻辑回归分析来确定儿童发育迟缓的预测因素,并使用多变量分解分析来研究导致儿童发育迟缓随时间变化的因素。发育迟缓的患病率从2012年的41.9%下降到2019年的28.0%。回归分析表明,户主和母亲受教育程度较低、年龄较大的儿童、家庭财富状况较低、卫生设施未改善以及城市居民是儿童发育迟缓的重要预测因素。分解分析显示,发育迟缓总体下降的约86%是由自变量效应的差异导致的。此外,基于这些因素的构成和行为变化,儿童年龄、母亲教育程度、居住地点和地区是导致儿童发育迟缓患病率随时间下降的重要因素。尽管随着时间的推移,孟加拉国儿童发育迟缓的情况有所改善,但目前的患病率仍然很高。发育迟缓总体下降的86%以上是由于自变量效应的差异。针对母亲受教育程度较低的儿童、婴儿、农村儿童以及来自财富状况较低和卫生设施未改善家庭的儿童进行干预,可能有助于降低孟加拉国的发育迟缓患病率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e8/12262890/64b6f0895a62/pgph.0004890.g001.jpg

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