What Explains Socioeconomic Inequality in Health-related Quality of Life in Iran? A Blinder-Oaxaca Decomposition.
- Author:
Satar REZAEI
1
;
Mohammad HAJIZADEH
;
Yahya SALIMI
;
Ghobad MORADI
;
Bijan NOURI
Author Information
- Publication Type:Original Article
- Keywords: Health status disparities; Self-report; Socioeconomic factors; Adults; Iran
- MeSH: Adult; Body Mass Index; Cross-Sectional Studies; Health Status Disparities; Humans; Iran*; Life Style; Obesity; Prevalence; Quality of Life*; Smoke; Smoking; Social Class; Socioeconomic Factors*
- From:Journal of Preventive Medicine and Public Health 2018;51(5):219-226
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVES: This study aimed to explain the health-related quality of life (HRQoL) gap between the poorest and the wealthiest quintiles in the capitals of Kermanshah and Kurdistan Provinces (Kermanshah and Sanandaj), in western Iran. METHODS: This was a cross-sectional study conducted among 1772 adults. Data on socio-demographic characteristics, socioeconomic status (SES), lifestyle factors, body mass index, and HRQoL of participants were collected using a self-administered questionnaire. The slope and relative indices of inequality (SII and RII, respectively) were employed to examine socioeconomic inequality in poor HRQoL. Blinder-Oaxaca (BO) decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of poor HRQoL between the wealthiest and the poorest groups. RESULTS: The overall crude and age-adjusted prevalence of poor HRQoL among adults was 32.0 and 41.8%, respectively. The SII and RII indicated that poor HRQoL was mainly concentrated among individuals with lower SES. The absolute difference (%) in the prevalence of poor HRQoL between the highest and lowest SES groups was 28.4. The BO results indicated that 49.9% of the difference was explained by different distributions of age, smoking behavior, physical inactivity, chronic health conditions, and obesity between the highest and lowest SES groups, while the remaining half of the gap was explained by the response effect. CONCLUSIONS: We observed a pro-rich distribution of poor HRQoL among adults in the capitals of Kermanshah and Kurdistan Provinces. Policies and strategies aimed at preventing and reducing smoking, physical inactivity, chronic health conditions, and obesity among the poor may reduce the gap in poor HRQoL between the highest and lowest SES groups in Iran.
