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印度老年成年人中贫血与住房质量差的关联:印度全国代表性横断面研究的多水平建模分析

Association of anemia with poor housing quality among older Indian adults: Multilevel modeling analysis of nationally representative cross-sectional study in India.

作者信息

Halder Pritam, Tiwari Jaya, Rathor Shivani, Pal Saumyarup, Mamgai Anshul, Biswas Riya, Rajan Abin K, Soni Anamika, Prabhakar Manish Chandra

机构信息

Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Department of Parasitology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

出版信息

J Family Med Prim Care. 2024 Dec;13(12):5584-5593. doi: 10.4103/jfmpc.jfmpc_556_24. Epub 2024 Dec 9.

DOI:10.4103/jfmpc.jfmpc_556_24
PMID:39790765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11709077/
Abstract

INTRODUCTION

Anemia is an important public health disorder. There is a significant chunk of India's population residing in poor housing quality with inadequate sanitation and hygiene, which might lead to higher anemia prevalence. The objective was to determine the association between anemia with poor housing quality among the older Indian adult population (≥45 years) as per residence.

METHODS

This study analyzed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017-18, Wave-1). Bivariate analysis and logistic regression were conducted to show the association of anemia (outcome variable) with poor housing quality (explanatory variable). Multivariable logistic regression was conducted by adjusting for covariates as per their models. value <0.05 was considered statistically significant. STATA version 17 was used for analysis.

RESULTS

Our study found that higher adjusted odds of having anemia among older Indian adults were observed among participants with overcrowding (AOR 1.30, 95%CI 1.19-1.42), having access to open/nonsanitary toilet facility (AOR 1.56, 95%CI 1.41-1.72), no electric supply (AOR 1.31, 95%CI 1.12-1.53), and overall poor housing quality (AOR 1.34, 95%CI 1.21-1.48). All of these associations were even higher in urban areas except for having access to open/nonsanitary toilet facilities, which was much higher in rural areas (AOR 1.61, 95%CI 1.45-1.79).

CONCLUSION

Through a nationally representative large dataset, this study generated compelling evidence despite several obstacles indicating a positive association between anemia and poor housing quality among older Indian adults. It might raise awareness and assist individuals in steering clear of the negative effects of overcrowding, using open/nonsanitary toilet facilities, lack of electric supply, and overall housing quality on anemia status. It is advised to conduct additional research to determine temporality and causation.

摘要

引言

贫血是一种重要的公共卫生疾病。印度有相当一部分人口居住在住房质量差、卫生设施和卫生条件不足的环境中,这可能导致贫血患病率较高。目的是根据居住地确定印度老年成人(≥45岁)中贫血与住房质量差之间的关联。

方法

本研究分析了印度纵向老龄化研究(2017 - 18年,第一轮)具有全国代表性的数据集。进行了双变量分析和逻辑回归,以显示贫血(结果变量)与住房质量差(解释变量)之间的关联。根据模型对协变量进行调整后进行多变量逻辑回归。p值<0.05被认为具有统计学意义。使用STATA 17版进行分析。

结果

我们的研究发现,在印度老年成年人中,过度拥挤的参与者(调整后的比值比[AOR]为1.30,95%置信区间[CI]为1.19 - 1.42)、使用露天/非卫生厕所设施的参与者(AOR为1.56,95%CI为1.41 - 1.72)、无供电的参与者(AOR为1.31,95%CI为1.12 - 1.53)以及总体住房质量差的参与者(AOR为1.34,95%CI为1.21 - 1.48)中,患贫血的调整后几率更高。除了使用露天/非卫生厕所设施这一情况在农村地区更高(AOR为1.61,95%CI为1.45 - 1.79)外,所有这些关联在城市地区甚至更高。

结论

通过一个具有全国代表性的大型数据集,尽管存在诸多障碍,但本研究仍产生了令人信服的证据,表明印度老年成年人中贫血与住房质量差之间存在正相关。这可能会提高认识,并帮助个人避免过度拥挤、使用露天/非卫生厕所设施、缺乏供电以及总体住房质量对贫血状况的负面影响。建议进行更多研究以确定时间顺序和因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f750/11709077/108d45ff0062/JFMPC-13-5584-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f750/11709077/ab782c70b25a/JFMPC-13-5584-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f750/11709077/343aa7e9cee4/JFMPC-13-5584-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f750/11709077/108d45ff0062/JFMPC-13-5584-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f750/11709077/ab782c70b25a/JFMPC-13-5584-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f750/11709077/343aa7e9cee4/JFMPC-13-5584-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f750/11709077/108d45ff0062/JFMPC-13-5584-g003.jpg

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