Evidence map›Paper›PMID 33602175›Full record

ArticleBMC public health2021

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

M Bagavandas

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Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Framework for Creating Successful Multidisciplinary Translational Research Teams.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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5 · Who and what money

Authors and funding

1 author.

M BagavandasCentre for Statistics, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India. bagwandm@srmist.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodMultilevel 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.

resultsThree 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.

conclusionThe 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.

Indexed as

IncomeQuality of LifeDeveloping CountriesFamily CharacteristicsHumansIndiaMultilevel AnalysisSocioeconomic FactorsDomainsEigen valueFactor analysisHouseholds and villagesMulti-factor indexMultilevel analysisNested dataQuality of life

Identifiers

PMID33602175
PMCPMC7893862

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