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Assari S, Lankarani MM. Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences. Int J Prev Med. 2015;6:85doi: 10.4103/2008-7802.164413.
Assari, S., & Lankarani, M. M. (2015). Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences. International journal of preventive medicine, 685. https://doi.org/10.4103/2008-7802.164413
Assari, Shervin, and Lankarani, Maryam Moghani. "Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences." International journal of preventive medicine vol. 6 (2015): 85. doi: https://doi.org/10.4103/2008-7802.164413
Assari S, Lankarani MM. Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences. Int J Prev Med. 2015 Sep 03;6:85. doi: 10.4103/2008-7802.164413. eCollection 2015. PMID: 26445632; PMCID: PMC4587073.
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Int J Prev Med. 2015 Sep 03;6:85. doi: 10.4103/2008-7802.164413. eCollection 2015.

Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences.

International journal of preventive medicine

Shervin Assari, Maryam Moghani Lankarani

Affiliations

  1. Department of Psychiatry, School of Medicine, University of Michigan, Michigan, USA ; Center for Research on Ethnicity, Culture and Health, School of Public Health, University of Michigan, Michigan, USA.

PMID: 26445632 PMCID: PMC4587073 DOI: 10.4103/2008-7802.164413

Abstract

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.

Keywords: Chronic medical conditions; physical health; sociodemographics; subjective health

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