Center for Human Nutrition, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
PoSHAN Study Team, Johns Hopkins University, Kathmandu, Nepal.
Matern Child Nutr. 2018 Jan;14(1). doi: 10.1111/mcn.12434. Epub 2017 Feb 23.
Despite substantial reductions in recent years in Nepal, stunting prevalence in children younger than 5 years remains high and represents a leading public health concern. To identify factors contributing to the stunting burden, we report multilevel risk factors associated with stunting in 4,853 children aged 6-59 months in a nationally and agroecologically representative random sample from the first year of the Policy and Science for Health, Agriculture, and Nutrition Community Studies, a community-based observational, mixed-panel study. Mixed effects logistic regressions controlling for multilevel clustering in the study design were used to examine the association of individual-, household-, and community-level factors associated with stunting. Stunting prevalence was 38% in our sample. After adjustment for potential confounding variables, maternal factors, including maternal height and education, were generally the strongest individual-level risk factors for stunting, adjusted odds ratio (AOR) = 2.52, 95% CI [1.96, 3.25], short (<145 cm) versus not short mothers; AOR = 2.09, 95% CI [1.48, 2.96], uneducated mothers versus secondary school graduates. Among the household- and community-level factors, household expenditure and community infrastructure (presence of paved roads, markets, or hospitals) were strongly, inversely associated with increased stunting risk, AOR = 1.68, 95% CI [1.27, 2.24], lowest versus highest household expenditure quintile; AOR = 2.38, 95% CI [1.36, 4.14], less developed (lacking paved roads, markets, or hospitals) versus more developed communities. Although most factors associated with stunting are not rapidly modifiable, areas for future research and possible interventions emerged.
尽管近年来尼泊尔的情况有所改善,但 5 岁以下儿童发育迟缓的患病率仍然很高,这是一个主要的公共卫生问题。为了确定导致发育迟缓负担的因素,我们报告了与来自尼泊尔的 Policy and Science for Health, Agriculture, and Nutrition Community Studies(PSHAN)社区研究的第一年中 4853 名 6-59 个月大儿童的发育迟缓相关的多层次风险因素。该研究采用多水平逻辑回归模型,控制了研究设计中的多水平聚类,以检查与发育迟缓相关的个体、家庭和社区层面因素的关联。在我们的样本中,发育迟缓的患病率为 38%。在调整了潜在的混杂变量后,母亲的身高和教育等因素通常是发育迟缓的最强个体层面风险因素,调整后的比值比(AOR)为 2.52,95%可信区间[1.96,3.25],母亲身高<145cm 与不矮的母亲相比;AOR 为 2.09,95%可信区间[1.48,2.96],母亲未受教育与中学毕业相比。在家庭和社区层面的因素中,家庭支出和社区基础设施(是否有铺砌的道路、市场或医院)与增加发育迟缓风险呈强烈的反比关系,AOR 为 1.68,95%可信区间[1.27,2.24],家庭支出最低五分位与最高五分位相比;AOR 为 2.38,95%可信区间[1.36,4.14],欠发达(缺乏铺砌的道路、市场或医院)社区与发达社区相比。尽管与发育迟缓相关的大多数因素不易迅速改变,但仍有未来研究和可能干预的领域。