Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia.
Department of Data Science, College of Natural and Computational Science, Debre Berhan University, Debre Berhan, Ethiopia.
BMC Med Res Methodol. 2024 Nov 15;24(1):283. doi: 10.1186/s12874-024-02399-9.
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.
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.
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.
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.
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.
多状态马尔可夫链模型的使用是研究儿童营养不良的一种有价值的工具。这使我们能够检查儿童从一种营养不良状态向多种状态过渡的趋势。
本研究旨在估计儿童首次从一种营养不良状态过渡到另一种状态的中位数持续时间以及他们首次再次出现营养不良的时间,并分析营养不良的典型持续时间。这涉及到在纵向数据的背景下理解这些过渡和持续时间的集中趋势。
我们使用了 Young Lives 队列研究(YLCS)的纵向数据集,该数据集包括来自五个地区的约 1997 名 1-15 岁的埃塞俄比亚儿童。这些儿童是从五个调查轮次中选择出来的,在 2002 年至 2016 年期间进行了五次调查。这些调查提供了全面的健康和营养数据,旨在评估儿童贫困情况。为了分析这个数据集,我们使用了马尔可夫链回归模型。该数据集构成了一个具有重复测量的队列,使我们能够随着时间的推移跟踪个体儿童在不同营养不良状态之间的过渡情况。
我们的研究结果表明,46%的儿童同时存在消瘦、发育迟缓或消瘦(称为 USW)。在基线时,同时存在消瘦和发育迟缓的情况(US)的患病率为 18.7%,男性中更高。营养不良的发病率密度为每年 22.5%。平均而言,患有消瘦状态的儿童首次恢复正常状态需要 3.02 个月,随后是发育迟缓需要 3.05 个月,消瘦需要 3.89 个月。值得注意的是,同时存在消瘦和发育迟缓的儿童(US)的营养不良中位数持续时间为 48.8 个月,而同时存在消瘦和消瘦的儿童在这种状态下的中位数为 45.4 个月。此外,农村儿童(HR=1.75;95%CI:1.53-1.97)、父亲文盲(HR=1.50;95%CI:1.38-1.62)和母亲文盲(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)的家庭的儿童,面临更高的营养不良风险和更慢的恢复速度。
本研究表明,农村儿童,特别是那些父母不识字且家庭缺乏安全饮用水但有烹饪燃料的儿童,面临更高的营养不良风险和更慢的恢复速度。