Ngwira A
Basic Sciences Department, Lilongwe University of Agriculture and Natural Resources, P.O Box 219, Lilongwe, Malawi.
Public Health Pract (Oxf). 2021 Dec 22;3:100224. doi: 10.1016/j.puhip.2021.100224. eCollection 2022 Jun.
This study aimed at assessing shared spatial risk of childhood undernutrition indicators in Malawi.
Cross-sectional design.
The shared spatial component model was fitted to childhood undernutrition indicators, namely: stunting, wasting and underweight, using 5066 child records of the 2015/16 Malawi demographic health survey data. The spatial components were districts, and were modeled by the convolution prior, with the structured components being assigned the conditional autoregressive distribution.
There is significant clustering of shared spatial risk of stunting and wasting (Moran I = 0.464, p-value = 0.009), and wasting and underweight (Moran I = 0.392, p-value = 0.026), and the risk maps show southern districts, followed by central districts being at greater risk of jointly having stunting and wasting, wasting and underweight, compared to the northern region districts. The shared spatial risk of stunting and underweight is randomly dispersed across the country (Moran I = - 0.044, p-value = 0.539).
Interventions to reduce the shared risk of child undernutrition should focus on the southern region districts and those in the central region, and a suggestion is made to address the issue of overpopulation and effects of climate change.
本研究旨在评估马拉维儿童营养不良指标的共同空间风险。
横断面设计。
采用2015/16年马拉维人口与健康调查数据中的5066份儿童记录，将共同空间成分模型应用于儿童营养不良指标，即发育迟缓、消瘦和体重不足。空间成分是地区，采用卷积先验进行建模，结构化成分被赋予条件自回归分布。
发育迟缓和消瘦的共同空间风险存在显著聚集（莫兰指数I = 0.464，p值 = 0.009），以及消瘦和体重不足（莫兰指数I = 0.392，p值 = 0.026），风险地图显示，与北部地区相比，南部地区其次是中部地区同时出现发育迟缓和消瘦、消瘦和体重不足的风险更高。发育迟缓和体重不足的共同空间风险在全国随机分布（莫兰指数I = - 0.044，p值 = 0.539）。
减少儿童营养不良共同风险的干预措施应侧重于南部地区和中部地区，并建议解决人口过剩和气候变化的影响问题。
