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Socioeconomic Inequality in Health Domains in Tehran: A Population-Based Cross-Sectional Study Publisher Pubmed



Baigi V1 ; Nedjat S2 ; Hosseinpoor AR3 ; Sartipi M4 ; Salimi Y5 ; Fotouhi A6
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Authors Affiliations
  1. 1. Department of Epidemiology and Biostatistics, School of Public Health, Student's Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Epidemiology and Biostatistics, School of Public Health, Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Information, Evidence and Research, World Health Organization, Geneva, Switzerland
  4. 4. Department of Epidemiology and Biostatistics, School of Public Health, Zahedan University of Medical Sciences, Zahedan, Iran
  5. 5. Research Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
  6. 6. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Source: BMJ Open Published:2018


Abstract

Reduction of socioeconomic inequality in health requires appropriate evidence on health and its distribution based on socioeconomic indicators. The objective of this study was to assess socioeconomic inequality in various health domains and self-rated health (SRH). Methods This study was conducted using data collected in a survey in 2014 on a random sample of individuals aged 18 and above in the city of Tehran. The standardised World Health Survey Individual Questionnaire was used to assess different health domains. The age-adjusted prevalence of poor health was calculated for each health domain and SRH based on levels of education and wealth quintiles. Furthermore, the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were applied to assess socioeconomic inequality in each of the health domains and SRH. Results The age-adjusted prevalence of poor health was observed in a descending order from the lowest to the highest wealth quintiles, and from the lowest level of education to the highest. RII also showed varying values of inequality among different domains, favouring rich subgroups. The highest wealth-related RII was observed in the Mobility' domain with a value of 4.16 (95% CI 2.01 to 8.62), and the highest education-related RII was observed in the Interpersonal Activities' domain with a value of 6.40 (95% CI 1.91 to 21.36). Conclusions Substantial socioeconomic inequalities were observed in different health domains in favour of groups of better socioeconomic status. Based on these results, policymaking aimed at tackling inequalities should pay attention to different health domains as well as to overall health. © Article author(s) 2018.
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