"育龄妇女(WRA)中的贫血患病率和社会人口因素:印度赋权行动小组(EAG)各邦的地理空间分析"

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Manabindra Barman
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引用次数: 0

摘要

贫血仍然是印度等发展中国家以及印度东亚地区各邦育龄妇女(WRA)与营养相关的主要健康问题。根据第五轮国家人口与健康调查,东亚地区各邦有 57% 的育龄妇女患有任何形式的贫血症,高于印度其他许多邦以及其他发达国家和发展中国家。本研究旨在评估印度八个东亚地区邦的妇女和儿童贫血症发病率。此外,该研究还试图根据东亚地区各邦 291 个县的妇女背景特征及其空间相关共变量,分析与贫血相关的原因。最新的人口与健康调查(DHS)横断面数据之一是印度卫生和家庭福利部管理下的印度人口与健康调查研究所(IIPS)进行的第 5 次(2019-21 年)全国人口与健康调查。这项研究仅包括 315 069 名育龄妇女(WRA)。使用二元统计和多项式逻辑回归分析评估了妇女(WRA)背景社会人口特征中与贫血有关的变量,以了解妇女与其决定因素之间的空间相关性。在东亚地区各邦中,贫血症的总患病率为 57%,从北阿坎德邦的 42.6%到恰尔肯德邦的 65.3%不等。多项式逻辑回归分析表明,年轻妇女(15-19 岁)、生活在农村地区的妇女、未受过教育和初等教育的妇女、属于中等至最贫穷五分之一财富的妇女、不再同居的妇女、信奉基督教的妇女、不阅读报纸的妇女、体重指数(BMI)过低的妇女和在册部落妇女患贫血症的几率明显更高。主要流行于东北部和东南部的比哈尔邦、恰尔康得邦、奥迪沙邦、恰蒂斯加尔邦、中央邦的部分地区、北方邦和拉贾斯坦邦,如热点地图所示。根据这项研究的结果,家庭、社会经济、教育、意识以及种姓和住所等个人特征等众多因素都会导致贫血风险。由于社会经济背景和认识的原因,妇女和儿童营养不良,导致营养缺乏,从而患上贫血症。为了克服这种贫血症,需要通过提高妇女的教育水平和社会经济地位,针对妇女的健康和营养状况采取多种纪律政策和举措。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anaemia prevalence and socio-demographic factors among women of reproductive age (WRA): A geospatial analysis of empowered action group (EAG) states in India

Anaemia remains a major nutritional-related health concern for women under reproductive age (WRA) in developing nations like India as well as the Indian EAG states. According to NFHS round-5, EAG states constitute 57% of WRA having any form of anaemia, higher than many other states of India and other developed and developing nations. This study aimed to assess the frequency of anaemia among the WRA in India's eight EAG states. Also, it attempts to analyse the causes associated with anaemia by the women's background characteristics with spatial correlation with its co-variates across 291 districts of the EAG states. One of the most current Demographic and Health Survey's (DHS) cross-sectional data is the NFHS-5th (2019–21) round taken, conducted by the IIPS under the administration of MoHFW, India. This study only included 315,069 women under reproductive age (WRA). The variables related to anaemia among women's (WRA) background socio-demographic characteristics were assessed using bivariate statistics and multinominal logistic regression analysis to comprehend the spatial correlation between women and their determinant factors. Among the EAG states, the overall prevalence of anaemia was 57%, varying from 42.6% in Uttarakhand to 65.3% in Jharkhand. Multinominal logistic regression analyses reveal that the chances of anaemia are remarkably more prevalent in younger women (15–19 years of age), women living in rural areas, no educated and primary level educated women, women belonging to the middle to poorest wealth quintile, women no longer living together, women of the Christian religion, women who are not exposed to reading newspapers, underweight BMI women, and scheduled tribe women. Mainly, the prevalence is observed in the North-eastern and southeastern states of Bihar, Jharkhand, Odisha, Chhattisgarh, some parts of Madhya Pradesh, Uttar Pradesh, and Rajasthan, which is shown by the hotspot map. According to the findings of this study, numerous factors like family, socioeconomic, educational, awareness, and individual characteristics such as caste and domicile all lead to a risk of anaemia. The WRA suffers from anaemia as a result of their socioeconomic background and awareness, which leads to a lack of nourishment, and they seek nutrient deficiencies. To overcome this anaemia, multiple discipline policies and initiatives need to be taken targeting women's wellness and nutritional status by increasing women's education and socioeconomic status.

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来源期刊
Spatial and Spatio-Temporal Epidemiology
Spatial and Spatio-Temporal Epidemiology PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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