Nasr Marzieh, Pourmirzaei Mohammadali, Esmaeil Motlagh Mohammad, Heshmat Ramin, Qorbani Mostafa, Kelishadi Roya
Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Pediatrics Department, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Health Promot Perspect. 2020 Jul 12;10(3):238-243. doi: 10.34172/hpp.2020.37. eCollection 2020.
This study aimed to find possible spatial variation in children's weight disorders and in predicting the spatial distribution. The study population of this ecological study consisted of 7-18-year-old students living in 30 provinces of Iran. We used Besag, York and Mollie (BYM) model, a Bayesian model, to study the relative risk (RR) of underweight and excess weight (overweight and obese). The model was fitted to data using OpenBUGS (3.2.1) software. The highest RR of underweight was found in southeastern provinces. Whereas, the highest RR of excess weight was documented in northern, northwestern and capital provinces.Sistan-Balouchestan (RR=1.973; Bayesian confidence interval [BCI]: 1.682, 2.289), Hormozgan(RR=1.482; BCI: 1.239, 1.749), South Khorasan (RR=1.422; BCI: 1.18, 1.687) and Kerman(RR=1.413; BCI: 1.18, 1.669) had the highest RR of underweight. Mazandaran (RR=1.366; BCI:1.172,1.581), Gilan (RR=1.346; BCI: 1.15,1.562), Tehran (RR=1.271; BCI: 1.086,1.472) and Alborz (RR=1.268; BCI: 1.079,1.475) provinces are high risk regions for excess weight. The significant variations in geographical distribution of weight disorders are because of various sociodemographic and ethnic differences. The current findings should be considered in health policy making in different regions of the country.
本研究旨在探寻儿童体重失调的可能空间差异,并预测其空间分布。这项生态研究的研究对象为居住在伊朗30个省份的7至18岁学生。我们使用贝叶斯模型——贝萨格、约克和莫利(BYM)模型,来研究体重不足和超重(包括肥胖)的相对风险(RR)。该模型通过OpenBUGS(3.2.1)软件拟合数据。体重不足的最高相对风险出现在东南部省份。而超重的最高相对风险记录在北部、西北部和首都省份。锡斯坦-俾路支斯坦省(RR = 1.973;贝叶斯置信区间[BCI]:1.682,2.289)、霍尔木兹甘省(RR = 1.482;BCI:1.239,1.749)、南呼罗珊省(RR = 1.422;BCI:1.18,1.687)和克尔曼省(RR = 1.413;BCI:1.18,1.669)的体重不足相对风险最高。马赞德兰省(RR = 1.366;BCI:1.172,1.581)、吉兰省(RR = 1.346;BCI:1.15,1.562)、德黑兰省(RR = 1.271;BCI:1.086,1.472)和阿尔伯兹省(RR = 1.268;BCI:1.079,1.475)是超重的高风险地区。体重失调地理分布的显著差异是由各种社会人口和种族差异造成的。在该国不同地区的卫生政策制定中应考虑当前的研究结果。