Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences

Background: This study explored cross-country differences in how multi-morbidity explains the effects of socioeconomic characteristics on self-rated health. Methods: The study borrowed data from the Research on Early Life and Aging Trends and Effects. Participants were 44,530 individuals (age >...

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Main Authors: Shervin Assari, Maryam Moghani Lankarani
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2015-01-01
Series:International Journal of Preventive Medicine
Subjects:
Online Access:http://www.ijpvmjournal.net/article.asp?issn=2008-7802;year=2015;volume=6;issue=1;spage=85;epage=85;aulast=Assari
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spelling doaj-a84464fa9c3f49218d76386b9e6dac362020-11-24T23:35:00ZengWolters Kluwer Medknow PublicationsInternational Journal of Preventive Medicine2008-78022008-82132015-01-0161858510.4103/2008-7802.164413Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differencesShervin AssariMaryam Moghani LankaraniBackground: This study explored cross-country differences in how multi-morbidity explains the effects of socioeconomic characteristics on self-rated health. Methods: The study borrowed data from the Research on Early Life and Aging Trends and Effects. Participants were 44,530 individuals (age > 65 years) who were sampled from 15 countries (i.e. United States, China, India, Russia, Costa Rica, Puerto Rico, Mexico, Argentina, Barbados, Brazil, Chile, Cuba, Uruguay, Ghana and South Africa). Multi-morbidity was measured as number of chronic medical conditions. In Model I, main effects of socioeconomic factors on self-rated health were calculated using country-specific logistic regressions. In Model II, number of chronic conditions were also added to the models to find changes in coefficients for demographic and socioeconomic factors. Results: In the United States, number of chronic medical conditions explained the effect of income on subjective health. In Puerto Rico, number of chronic medical conditions explained the effect of marital status on subjective health. In Costa Rica, Argentina, Barbados, Cuba, and Uruguay, number of chronic medical conditions explained gender disparities in subjective health. In China, Mexico, Brazil, Russia, Chile, India, Ghana and South Africa, number of chronic medical conditions did not explain the effect of demographic or socioeconomic factors on subjective health. Conclusions: Multi-morbidity explains the effect of demographic and socioeconomic factors on subjective health in some but not other countries. Further research is needed.http://www.ijpvmjournal.net/article.asp?issn=2008-7802;year=2015;volume=6;issue=1;spage=85;epage=85;aulast=AssariChronic medical conditionsphysical healthsociodemographicssubjective health
collection DOAJ
language English
format Article
sources DOAJ
author Shervin Assari
Maryam Moghani Lankarani
spellingShingle Shervin Assari
Maryam Moghani Lankarani
Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences
International Journal of Preventive Medicine
Chronic medical conditions
physical health
sociodemographics
subjective health
author_facet Shervin Assari
Maryam Moghani Lankarani
author_sort Shervin Assari
title Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences
title_short Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences
title_full Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences
title_fullStr Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences
title_full_unstemmed Does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences
title_sort does multi-morbidity mediate the effect of socioeconomics on self-rated health? cross-country differences
publisher Wolters Kluwer Medknow Publications
series International Journal of Preventive Medicine
issn 2008-7802
2008-8213
publishDate 2015-01-01
description Background: This study explored cross-country differences in how multi-morbidity explains the effects of socioeconomic characteristics on self-rated health. Methods: The study borrowed data from the Research on Early Life and Aging Trends and Effects. Participants were 44,530 individuals (age > 65 years) who were sampled from 15 countries (i.e. United States, China, India, Russia, Costa Rica, Puerto Rico, Mexico, Argentina, Barbados, Brazil, Chile, Cuba, Uruguay, Ghana and South Africa). Multi-morbidity was measured as number of chronic medical conditions. In Model I, main effects of socioeconomic factors on self-rated health were calculated using country-specific logistic regressions. In Model II, number of chronic conditions were also added to the models to find changes in coefficients for demographic and socioeconomic factors. Results: In the United States, number of chronic medical conditions explained the effect of income on subjective health. In Puerto Rico, number of chronic medical conditions explained the effect of marital status on subjective health. In Costa Rica, Argentina, Barbados, Cuba, and Uruguay, number of chronic medical conditions explained gender disparities in subjective health. In China, Mexico, Brazil, Russia, Chile, India, Ghana and South Africa, number of chronic medical conditions did not explain the effect of demographic or socioeconomic factors on subjective health. Conclusions: Multi-morbidity explains the effect of demographic and socioeconomic factors on subjective health in some but not other countries. Further research is needed.
topic Chronic medical conditions
physical health
sociodemographics
subjective health
url http://www.ijpvmjournal.net/article.asp?issn=2008-7802;year=2015;volume=6;issue=1;spage=85;epage=85;aulast=Assari
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