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首页> 外文期刊>International Journal of Environmental Research and Public Health >Spatial Distribution of Underweight, Overweight and Obesity among Women and Children: Results from the 2011 Uganda Demographic and Health Survey
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Spatial Distribution of Underweight, Overweight and Obesity among Women and Children: Results from the 2011 Uganda Demographic and Health Survey

机译:妇女和儿童中超重,肥胖和肥胖的空间分布:2011年乌干达人口与健康调查的结果

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While undernutrition and infectious diseases are still persistent in developing countries, overweight, obesity, and associated comorbidities have become more prevalent. Uganda, a developing sub-Saharan African country, is currently experiencing the public health paradox of undernutrition and overnutrition. We utilized the 2011 Uganda Demographic and Health Survey (DHS) to examine risk factors and hot spots for underweight, overweight, and obesity among adult females (N = 2,420) and their children (N = 1,099) using ordinary least squares and multinomial logit regression and the ArcGIS Getis-Ord Gi* statistic. Overweight and obese women were significantly more likely to have overweight children, and overweight was correlated with being in the highest wealth class (OR = 2.94, 95% CI = 1.99–4.35), and residing in an urban (OR = 1.76, 95% CI = 1.34–2.29) but not a conflict prone (OR = 0.48, 95% CI = 0.29–0.78) area. Underweight clustered significantly in the Northern and Northeastern regions, while overweight females and children clustered in the Southeast. We demonstrate that the DHS can be used to assess geographic clustering and burden of disease, thereby allowing for targeted programs and policies. Further, we pinpoint specific regions and population groups in Uganda for targeted preventive measures and treatment to reduce the burden of overweight and chronic diseases in Uganda.
机译:尽管营养不足和传染病在发展中国家仍然存在,但超重,肥胖和相关合并症已变得更加普遍。乌干达是撒哈拉以南非洲的一个发展中国家,目前正在经历营养不足和营养过剩的公共卫生悖论。我们使用2011年乌干达人口与健康调查(DHS),使用普通最小二乘和多项式logit回归分析了成年女性(N = 2,420)及其子女(N = 1,099)中体重不足,超重和肥胖的危险因素和热点以及ArcGIS Getis-Ord Gi *统计信息。超重和肥胖的妇女生育孩子的可能性更高,而超重与处于最高财富阶层(OR = 2.94,95%CI = 1.99–4.35)和居住在城市(OR = 1.76,95%)相关。 CI = 1.34–2.29)但不容易发生冲突(OR = 0.48,95%CI = 0.29–0.78)。体重过轻在北部和东北地区显着聚集,而体重超重的女性和儿童在东南部聚集。我们证明了DHS可用于评估地理集群和疾病负担,从而实现针对性的计划和政策。此外,我们确定了乌干达的特定地区和人群,以针对性地采取预防措施和治疗,以减轻乌干达超重和慢性病的负担。

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