Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002-2016.

IF 3.9 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES BMC Medical Research Methodology Pub Date : 2024-11-15 DOI:10.1186/s12874-024-02399-9
Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta
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Abstract

Background: The use of the multistate Markov chain model is a valuable tool for studying child undernutrition. This allows us to examine the trends of children's transitions from one state to multiple states of undernutrition.

Objectives: In this study, our objective was to estimate the median duration for a child to first transition from one state of undernutrition to another as well as their first recurrence of undernutrition and also to analyze the typical duration of undernourishment. This involves understanding the central tendency of these transitions and durations in the context of longitudinal data.

Methods: We used a longitudinal dataset from the Young Lives cohort study (YLCS), which included approximately 1997 Ethiopian children aged 1-15 years. These children were selected from five regions and followed through five survey rounds between 2002 and 2016. The surveys provide comprehensive health and nutrition data and are designed to assess childhood poverty. To analyze this dataset, we employed a Markov chain regression model. The dataset constitutes a cohort with repeated measurements, allowing us to track the transitions of individual children across different states of undernutrition over time.

Results: The findings of our study indicate that 46% of children experienced concurrent underweight, stunting, and wasting (referred to as USW). The prevalence of underweight and stunted concurrent condition (US) was 18.7% at baseline, higher among males. The incidence density of undernutrition was calculated at 22.5% per year. On average, it took 3.02 months for a child in a wasting state to transition back to a normal state for the first time, followed by approximately 3.05 months for stunting and 3.89 months for underweight. It is noteworthy that the median duration of undernourishment among children in the US (underweight and stunted concurrently) state was 48.8 months, whereas those concurrently underweight and wasting experienced a median of 45.4 months in this state. Additionally, rural children (HR = 1.75; 95% CI: 1.53-1.97), those with illiterate fathers (HR = 1.50; 95% CI: 1.38-1.62) and mothers (HR = 1.45; 95% CI: 1.02-3.29), and those in households lacking safe drinking water (HR = 1.70; 95% CI: 1.26-2.14) or access to cooking fuel (HR = 1.95; 95% CI: 1.75-2.17) exhibited a higher risk of undernutrition and a slower recovery rate.

Conclusions: This study revealed that rural children, especially those with illiterate parents and households lacking safe drinking water but cooking fuels, face an increased risk of undernutrition and slower recovery.

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埃塞俄比亚儿童营养不良转变的多态马尔可夫链建模:2002-2016 年纵向数据分析。
背景:多态马尔可夫链模型是研究儿童营养不良问题的重要工具。这使我们能够研究儿童从一种营养不良状态过渡到多种营养不良状态的趋势:在这项研究中,我们的目标是估算儿童从一种营养不良状态首次过渡到另一种营养不良状态的中位持续时间,以及他们首次再次出现营养不良的持续时间,同时分析营养不良的典型持续时间。这就需要在纵向数据的背景下了解这些过渡和持续时间的中心趋势:我们使用了 "年轻生命 "队列研究(YLCS)的纵向数据集,其中包括约 1997 名 1-15 岁的埃塞俄比亚儿童。这些儿童选自五个地区,在 2002 年至 2016 年期间接受了五轮调查。这些调查提供了全面的健康和营养数据,旨在评估儿童贫困状况。为了分析该数据集,我们采用了马尔科夫链回归模型。该数据集构成了一个具有重复测量的队列,使我们能够跟踪儿童个体在不同营养不良状态下的过渡情况:我们的研究结果表明,46% 的儿童同时存在体重不足、发育迟缓和消瘦(简称 USW)。体重不足和发育迟缓并发症(USW)的基线发病率为 18.7%,男性发病率更高。根据计算,营养不良的发病密度为每年 22.5%。处于消瘦状态的儿童平均需要 3.02 个月才能首次恢复正常状态,发育迟缓的儿童大约需要 3.05 个月,体重不足的儿童大约需要 3.89 个月。值得注意的是,美国儿童(同时出现体重不足和发育迟缓)营养不良持续时间的中位数为 48.8 个月,而同时出现体重不足和消瘦状态的儿童营养不良持续时间的中位数为 45.4 个月。此外,农村儿童(HR = 1.75;95% CI:1.53-1.97)、父亲是文盲的儿童(HR = 1.50;95% CI:1.38-1.62)和母亲是文盲的儿童(HR = 1.45;95% CI:1.02-3.29),以及缺乏安全饮用水(HR = 1.70;95% CI:1.26-2.14)或烹饪燃料(HR = 1.95;95% CI:1.75-2.17)的家庭中的儿童营养不良的风险更高,恢复速度更慢:这项研究表明,农村儿童,尤其是父母都是文盲、缺乏安全饮用水和烹饪燃料的家庭的儿童,面临营养不良的风险更高,恢复速度更慢。
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来源期刊
BMC Medical Research Methodology
BMC Medical Research Methodology 医学-卫生保健
CiteScore
6.50
自引率
2.50%
发文量
298
审稿时长
3-8 weeks
期刊介绍: BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.
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