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印度部落人口生活质量评估多因素指数的编制:多层次分析方法

Development of multifactor index for assessing quality of life of a tribal population of India: multilevel analysis approach.

作者信息

Bagavandas M

机构信息

Centre for Statistics, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India.

出版信息

BMC Public Health. 2021 Feb 18;21(1):383. doi: 10.1186/s12889-021-10338-2.

Abstract

BACKGROUND

The main objective of this study is to develop a multilevel multi-factor index to assess the quality of life of the Malayali tribal population of India at the household and village levels based on nine domains, namely, Demography, Economy, Health, Human Development, Infrastructure Development, Work Participation, Recreation, Social Capital and Self Perception. An attempt is made to classify the individuals as well as villages by the overall scores of a multi-factor -index within a community which will help policymakers to develop concrete policy recommendations for the improvement of the quality of life of this tribal group.

METHOD

Multilevel factor analysis is utilized to determine uncorrelated meaningful factors and their respective weights using Mplus software from the nested dataset consists of values of nine domains of 1096 individuals collected from 19 villages. A multilevel multi-factor index is constructed using the weights of these factors. The qualities of the lives of different households and different villages are assessed using the scores of this index.

RESULTS

Three different factors are identified at household as well as village levels. The quality of life at Households and Village levels are classified as poor, low, moderate, good, and excellent based on five quintiles of the scores of the multi-factor index, and the contribution of each domain in this classification is ascertained.

DISCUSSION

This study finds that at household as well as at village levels, the quality of life of the individuals of this tribal population increases with an increase in education, income, and occupation status which make them lead a healthy life and also make them to find time and money to spend on recreation. Infrastructure is not important at the household level but not so at the village level.

CONCLUSION

The main purpose of developing this kind of multi-factor index at different levels is to provide a tool for tribal development based on realistic data that can be used to monitor the key factors that encompass the social, health, environmental, and economic dimensions of quality of lives at the household and community levels of these tribal people.

摘要

背景

本研究的主要目的是开发一个多层次多因素指数,基于九个领域,即人口统计学、经济、健康、人类发展、基础设施发展、工作参与、娱乐、社会资本和自我认知,在家庭和村庄层面评估印度马拉雅利部落人口的生活质量。试图通过社区内多因素指数的总体得分对个人和村庄进行分类,这将有助于政策制定者制定具体的政策建议,以改善这个部落群体的生活质量。

方法

利用多层次因素分析,使用Mplus软件从嵌套数据集中确定不相关的有意义因素及其各自权重,该数据集包含从19个村庄收集的1096个人的九个领域的值。使用这些因素的权重构建一个多层次多因素指数。使用该指数的得分评估不同家庭和不同村庄的生活质量。

结果

在家庭和村庄层面都确定了三个不同的因素。根据多因素指数得分的五个五分位数,将家庭和村庄层面的生活质量分为差、低、中、好和优,并确定每个领域在该分类中的贡献。

讨论

本研究发现,在家庭和村庄层面,这个部落人口个体的生活质量随着教育、收入和职业地位的提高而提高,这使他们能够过上健康的生活,也使他们有时间和金钱用于娱乐。基础设施在家庭层面不重要,但在村庄层面并非如此。

结论

在不同层面开发这种多因素指数的主要目的是提供一个基于现实数据的部落发展工具,可用于监测这些部落人群家庭和社区层面生活质量的社会、健康、环境和经济维度的关键因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/641d/7893862/7ebe9e1ebd39/12889_2021_10338_Fig1_HTML.jpg

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