尼日利亚育龄妇女营养状况异质性的地理空间分析

.. Ben, E, O., .. Lasisi K. E., .. Abdulkadir, A., .. Abdulrasheed B.
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引用次数: 0

摘要

本研究采用地理空间方法调查尼日利亚育龄妇女营养状况的空间分布和异质性。我们利用从全国人口与健康调查(NDHS,2018 年)中获得的各种营养指标数据以及相关地理空间信息。通过采用空间统计方法,我们旨在确定各种营养状况(正常体重、超重和肥胖)的地理集群和差异。这项分析将为了解西澳大利亚营养健康状况的地理差异提供有价值的见解,并为采取有针对性的干预措施解决这些差异提供依据。本研究采用贝叶斯地理加权量子回归模型(BGQRM)这一统计方法,调查各种因素对尼日利亚育龄妇女体重类别(正常体重、超重、肥胖)的影响。结果显示,城市妇女超重或肥胖的可能性较高,这可能与城市生活因素有关,如收入和教育程度的提高,导致体育活动减少和热量高的食物摄入量增加。研究结果凸显了社会经济因素、城市化和体重状况之间的复杂关系,对大众传媒和电力供应对体重影响的假设提出了质疑,并强调需要根据尼日利亚妇女营养模式中与种族和就业相关的细微差别,采取有针对性的干预措施。本研究利用一种新颖的统计方法(BGQRM)调查了各种因素对尼日利亚育龄妇女体重类别的影响,发现城市居民超重或肥胖的可能性较高,这可能与收入和教育等生活方式因素有关。研究结果对有关社会经济地位、媒体接触和体重之间关系的假设提出了质疑,强调了复杂的相互作用,可为旨在改善尼日利亚育龄妇女营养和福祉的针对性干预措施提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial Analysis of the Heterogeneity in Nutritional Status among Women of Childbearing Age in Nigeria
This study employs a geospatial approach to investigate the spatial distribution and heterogeneity of nutritional status among Women of Childbearing Age across Nigeria. We utilize data on various nutritional indicators obtained from National Demographic and Health Survey (NDHS, 2018) alongside relevant geospatial information. By employing spatial statistical methods, we aim to identify geographic clusters and disparities in the various nutritional statuses: normal weight, overweight, and obesity. This analysis will provide valuable insights into the geographical variations in WCBA's nutritional health and inform targeted interventions to address these disparities. This study employs a statistical method, Bayesian Geoadditive Quantile Regression Model (BGQRM) to investigate the impact of various factors on weight categories (normal weight, overweight, obese) among Nigerian women of childbearing age.. Results reveal higher likelihoods of overweight or obesity among urban women, potentially linked to urban living factors like increased income and education, leading to reduced physical activity and higher consumption of calorie-dense foods. The findings highlight complex relationships between socioeconomic factors, urbanization, and weight status, challenging assumptions about the effects of mass media and electricity access on weight, and emphasizing the need for tailored interventions informed by nuanced ethnic and employment-related variations in nutritional patterns among Nigerian women. This study utilizes a novel statistical method (BGQRM) to investigate the impact of various factors on weight categories among women of reproductive age in Nigeria, revealing a higher likelihood of overweight or obesity among urban residents, potentially linked to lifestyle factors such as income and education. The findings challenge assumptions about the relationship between socioeconomic status, media exposure, and weight, highlighting complex interactions that can inform targeted interventions aimed at improving nutrition and well-being among Nigerian women of childbearing age.
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