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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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2015-01-01
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| 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 |
| _version_ | 1818964932385832960 |
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| author | Shervin Assari Maryam Moghani Lankarani |
| author_facet | Shervin Assari Maryam Moghani Lankarani |
| author_sort | Shervin Assari |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-20T13:08:58Z |
| format | Article |
| id | doaj.art-a84464fa9c3f49218d76386b9e6dac36 |
| institution | Directory Open Access Journal |
| issn | 2008-7802 2008-8213 |
| language | English |
| last_indexed | 2024-12-20T13:08:58Z |
| publishDate | 2015-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | International Journal of Preventive Medicine |
| spelling | doaj.art-a84464fa9c3f49218d76386b9e6dac362022-12-21T19:39:42ZengWolters 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 |
| 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 |
| title | 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_short | 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 |
| 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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