Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial
Poverty and human capital development are inextricably linked and therefore research on human capital typically incorporates measures of economic well-being. In the context of randomized trials of health interventions, for example, such measures are used to: 1) assess baseline balance; 2) estimate c...
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creator | Chasekwa, Bernard Maluccio, John A Ntozini, Robert Moulton, Lawrence H Wu, Fan Smith, Laura E Matare, Cynthia R Stoltzfus, Rebecca J Mbuya, Mduduzi N N Tielsch, James M Martin, Stephanie L Jones, Andrew D Humphrey, Jean H Fielding, Katherine |
description | Poverty and human capital development are inextricably linked and therefore research on human capital typically incorporates measures of economic well-being. In the context of randomized trials of health interventions, for example, such measures are used to: 1) assess baseline balance; 2) estimate covariate-adjusted analyses; and 3) conduct subgroup analyses. Many factors characterize economic well-being, however, and analysts often generate summary measures such as indices of household socio-economic status or wealth. In this paper, a household wealth index is developed and tested for participants in the cluster-randomized Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe.
Building on the approach used in the Zimbabwe Demographic and Health Survey (ZDHS), we combined a set of housing characteristics, ownership of assets and agricultural resources into a wealth index using principal component analysis (PCA) on binary variables. The index was assessed for internal and external validity. Its sensitivity was examined considering an expanded set of variables and an alternative statistical approach of polychoric PCA. Correlation between indices was determined using the Spearman's rank correlation coefficient and agreement between quintiles using a linear weighted Kappa statistic. Using the 2015 ZDHS data, we constructed a separate index and applied the loadings resulting from that analysis to the SHINE study population, to compare the wealth distribution in the SHINE study with rural Zimbabwe.
The derived indices using the different methods were highly correlated (r>0.9), and the wealth quintiles derived from the different indices had substantial to near perfect agreement (linear weighted Kappa>0.7). The indices were strongly associated with a range of assets and other wealth measures, indicating both internal and external validity. Households in SHINE were modestly wealthier than the overall population of households in rural Zimbabwe.
The SHINE wealth index developed here is a valid and robust measure of wealth in the sample. |
doi_str_mv | 10.1371/journal.pone.0199393 |
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Building on the approach used in the Zimbabwe Demographic and Health Survey (ZDHS), we combined a set of housing characteristics, ownership of assets and agricultural resources into a wealth index using principal component analysis (PCA) on binary variables. The index was assessed for internal and external validity. Its sensitivity was examined considering an expanded set of variables and an alternative statistical approach of polychoric PCA. Correlation between indices was determined using the Spearman's rank correlation coefficient and agreement between quintiles using a linear weighted Kappa statistic. Using the 2015 ZDHS data, we constructed a separate index and applied the loadings resulting from that analysis to the SHINE study population, to compare the wealth distribution in the SHINE study with rural Zimbabwe.
The derived indices using the different methods were highly correlated (r>0.9), and the wealth quintiles derived from the different indices had substantial to near perfect agreement (linear weighted Kappa>0.7). The indices were strongly associated with a range of assets and other wealth measures, indicating both internal and external validity. Households in SHINE were modestly wealthier than the overall population of households in rural Zimbabwe.
The SHINE wealth index developed here is a valid and robust measure of wealth in the sample.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0199393</identifier><identifier>PMID: 29953495</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural economics ; Agricultural resources ; Biology and Life Sciences ; Childrens health ; Construction methods ; Correlation ; Correlation coefficient ; Correlation coefficients ; Data analysis ; Demographics ; Distribution of wealth ; Earth Sciences ; Economic analysis ; Economic indicators ; Economic Status ; Economics ; Epidemiology ; Expenditures ; Health aspects ; Health promotion ; Households ; Housing ; Human capital ; Human nutrition ; Humans ; Hygiene ; Infant nutrition ; Infants ; Low income groups ; Maternal & child health ; Medical research ; Medicine and Health Sciences ; Nutrition ; People and Places ; Physical Sciences ; Population ; Population (statistical) ; Population studies ; Poverty ; Principal Component Analysis ; Principal components analysis ; Public health ; Public health administration ; Randomization ; Research and Analysis Methods ; Rural areas ; Rural communities ; Rural health ; Rural Population ; Sanitation ; Sensitivity analysis ; Social Sciences ; Socioeconomic Factors ; Socioeconomics ; Statistical analysis ; Studies ; Subgroups ; Surveys and Questionnaires ; Well being</subject><ispartof>PloS one, 2018-06, Vol.13 (6), p.e0199393</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Chasekwa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Chasekwa et al 2018 Chasekwa et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-c64162dca32657580442c2d5d48c48159879d3377988b2cbe49e5ba9a47d58fe3</citedby><cites>FETCH-LOGICAL-c593t-c64162dca32657580442c2d5d48c48159879d3377988b2cbe49e5ba9a47d58fe3</cites><orcidid>0000-0002-8543-2835 ; 0000-0001-8080-7573</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023145/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023145/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23847,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29953495$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Wieringa, Frank</contributor><creatorcontrib>Chasekwa, Bernard</creatorcontrib><creatorcontrib>Maluccio, John A</creatorcontrib><creatorcontrib>Ntozini, Robert</creatorcontrib><creatorcontrib>Moulton, Lawrence H</creatorcontrib><creatorcontrib>Wu, Fan</creatorcontrib><creatorcontrib>Smith, Laura E</creatorcontrib><creatorcontrib>Matare, Cynthia R</creatorcontrib><creatorcontrib>Stoltzfus, Rebecca J</creatorcontrib><creatorcontrib>Mbuya, Mduduzi N N</creatorcontrib><creatorcontrib>Tielsch, James M</creatorcontrib><creatorcontrib>Martin, Stephanie L</creatorcontrib><creatorcontrib>Jones, Andrew D</creatorcontrib><creatorcontrib>Humphrey, Jean H</creatorcontrib><creatorcontrib>Fielding, Katherine</creatorcontrib><creatorcontrib>SHINE Trial Team</creatorcontrib><creatorcontrib>the SHINE Trial Team</creatorcontrib><title>Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Poverty and human capital development are inextricably linked and therefore research on human capital typically incorporates measures of economic well-being. In the context of randomized trials of health interventions, for example, such measures are used to: 1) assess baseline balance; 2) estimate covariate-adjusted analyses; and 3) conduct subgroup analyses. Many factors characterize economic well-being, however, and analysts often generate summary measures such as indices of household socio-economic status or wealth. In this paper, a household wealth index is developed and tested for participants in the cluster-randomized Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe.
Building on the approach used in the Zimbabwe Demographic and Health Survey (ZDHS), we combined a set of housing characteristics, ownership of assets and agricultural resources into a wealth index using principal component analysis (PCA) on binary variables. The index was assessed for internal and external validity. Its sensitivity was examined considering an expanded set of variables and an alternative statistical approach of polychoric PCA. Correlation between indices was determined using the Spearman's rank correlation coefficient and agreement between quintiles using a linear weighted Kappa statistic. Using the 2015 ZDHS data, we constructed a separate index and applied the loadings resulting from that analysis to the SHINE study population, to compare the wealth distribution in the SHINE study with rural Zimbabwe.
The derived indices using the different methods were highly correlated (r>0.9), and the wealth quintiles derived from the different indices had substantial to near perfect agreement (linear weighted Kappa>0.7). The indices were strongly associated with a range of assets and other wealth measures, indicating both internal and external validity. Households in SHINE were modestly wealthier than the overall population of households in rural Zimbabwe.
The SHINE wealth index developed here is a valid and robust measure of wealth in the sample.</description><subject>Agricultural economics</subject><subject>Agricultural resources</subject><subject>Biology and Life Sciences</subject><subject>Childrens health</subject><subject>Construction methods</subject><subject>Correlation</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Data analysis</subject><subject>Demographics</subject><subject>Distribution of wealth</subject><subject>Earth Sciences</subject><subject>Economic analysis</subject><subject>Economic indicators</subject><subject>Economic Status</subject><subject>Economics</subject><subject>Epidemiology</subject><subject>Expenditures</subject><subject>Health aspects</subject><subject>Health promotion</subject><subject>Households</subject><subject>Housing</subject><subject>Human capital</subject><subject>Human nutrition</subject><subject>Humans</subject><subject>Hygiene</subject><subject>Infant nutrition</subject><subject>Infants</subject><subject>Low income groups</subject><subject>Maternal & child health</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Nutrition</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Population</subject><subject>Population (statistical)</subject><subject>Population studies</subject><subject>Poverty</subject><subject>Principal Component Analysis</subject><subject>Principal components analysis</subject><subject>Public health</subject><subject>Public health administration</subject><subject>Randomization</subject><subject>Research and Analysis Methods</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>Rural health</subject><subject>Rural Population</subject><subject>Sanitation</subject><subject>Sensitivity analysis</subject><subject>Social 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wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial</title><author>Chasekwa, Bernard ; Maluccio, John A ; Ntozini, Robert ; Moulton, Lawrence H ; Wu, Fan ; Smith, Laura E ; Matare, Cynthia R ; Stoltzfus, Rebecca J ; Mbuya, Mduduzi N N ; Tielsch, James M ; Martin, Stephanie L ; Jones, Andrew D ; Humphrey, Jean H ; Fielding, Katherine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-c64162dca32657580442c2d5d48c48159879d3377988b2cbe49e5ba9a47d58fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Agricultural economics</topic><topic>Agricultural resources</topic><topic>Biology and Life Sciences</topic><topic>Childrens health</topic><topic>Construction methods</topic><topic>Correlation</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Data 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chasekwa, Bernard</au><au>Maluccio, John A</au><au>Ntozini, Robert</au><au>Moulton, Lawrence H</au><au>Wu, Fan</au><au>Smith, Laura E</au><au>Matare, Cynthia R</au><au>Stoltzfus, Rebecca J</au><au>Mbuya, Mduduzi N N</au><au>Tielsch, James M</au><au>Martin, Stephanie L</au><au>Jones, Andrew D</au><au>Humphrey, Jean H</au><au>Fielding, Katherine</au><au>Wieringa, Frank</au><aucorp>SHINE Trial Team</aucorp><aucorp>the SHINE Trial Team</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-06-28</date><risdate>2018</risdate><volume>13</volume><issue>6</issue><spage>e0199393</spage><pages>e0199393-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Poverty and human capital development are inextricably linked and therefore research on human capital typically incorporates measures of economic well-being. In the context of randomized trials of health interventions, for example, such measures are used to: 1) assess baseline balance; 2) estimate covariate-adjusted analyses; and 3) conduct subgroup analyses. Many factors characterize economic well-being, however, and analysts often generate summary measures such as indices of household socio-economic status or wealth. In this paper, a household wealth index is developed and tested for participants in the cluster-randomized Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe.
Building on the approach used in the Zimbabwe Demographic and Health Survey (ZDHS), we combined a set of housing characteristics, ownership of assets and agricultural resources into a wealth index using principal component analysis (PCA) on binary variables. The index was assessed for internal and external validity. Its sensitivity was examined considering an expanded set of variables and an alternative statistical approach of polychoric PCA. Correlation between indices was determined using the Spearman's rank correlation coefficient and agreement between quintiles using a linear weighted Kappa statistic. Using the 2015 ZDHS data, we constructed a separate index and applied the loadings resulting from that analysis to the SHINE study population, to compare the wealth distribution in the SHINE study with rural Zimbabwe.
The derived indices using the different methods were highly correlated (r>0.9), and the wealth quintiles derived from the different indices had substantial to near perfect agreement (linear weighted Kappa>0.7). The indices were strongly associated with a range of assets and other wealth measures, indicating both internal and external validity. Households in SHINE were modestly wealthier than the overall population of households in rural Zimbabwe.
The SHINE wealth index developed here is a valid and robust measure of wealth in the sample.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29953495</pmid><doi>10.1371/journal.pone.0199393</doi><orcidid>https://orcid.org/0000-0002-8543-2835</orcidid><orcidid>https://orcid.org/0000-0001-8080-7573</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2018-06, Vol.13 (6), p.e0199393 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2061393906 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Agricultural economics Agricultural resources Biology and Life Sciences Childrens health Construction methods Correlation Correlation coefficient Correlation coefficients Data analysis Demographics Distribution of wealth Earth Sciences Economic analysis Economic indicators Economic Status Economics Epidemiology Expenditures Health aspects Health promotion Households Housing Human capital Human nutrition Humans Hygiene Infant nutrition Infants Low income groups Maternal & child health Medical research Medicine and Health Sciences Nutrition People and Places Physical Sciences Population Population (statistical) Population studies Poverty Principal Component Analysis Principal components analysis Public health Public health administration Randomization Research and Analysis Methods Rural areas Rural communities Rural health Rural Population Sanitation Sensitivity analysis Social Sciences Socioeconomic Factors Socioeconomics Statistical analysis Studies Subgroups Surveys and Questionnaires Well being |
title | Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T17%3A47%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Measuring%20wealth%20in%20rural%20communities:%20Lessons%20from%20the%20Sanitation,%20Hygiene,%20Infant%20Nutrition%20Efficacy%20(SHINE)%20trial&rft.jtitle=PloS%20one&rft.au=Chasekwa,%20Bernard&rft.aucorp=SHINE%20Trial%20Team&rft.date=2018-06-28&rft.volume=13&rft.issue=6&rft.spage=e0199393&rft.pages=e0199393-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0199393&rft_dat=%3Cgale_plos_%3EA547840992%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2061393906&rft_id=info:pmid/29953495&rft_galeid=A547840992&rft_doaj_id=oai_doaj_org_article_859d3bc42c654567a0eaee854748c644&rfr_iscdi=true |