{"title":"从富人到穷人:伊朗与健康有关的生活质量的社会经济不平等的分解分析。","authors":"Satar Rezaei","doi":"10.3961/jpmph.25.383","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Socioeconomic status (SES) is a well-established predictor of health outcomes across an individual's lifespan. People from lower socioeconomic backgrounds generally have shorter life expectancies and lower levels of health-related quality of life (HRQoL) compared with those from higher-income groups. This study aimed to quantify income-related inequalities in HRQoL among adults in Iran.</p><p><strong>Methods: </strong>A total of 3518 adults aged 18 years and older were selected using a convenience sampling method across 9 provinces in Iran. HRQoL was assessed with the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) instrument, which evaluates 5 dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. The concentration index (CI) approach was used to measure income-related inequality in worse HRQoL (disutility=1-utility value) and to identify the socioeconomic factors contributing to the observed inequality.</p><p><strong>Results: </strong>The CI for worse HRQoL was -0.116, while the CI for the EuroQol visual analogue scale (EQ-VAS) score was 0.027. The CIs for reporting any problems in the EQ-5D-5L dimensions were: mobility (-0.122), self-care (-0.070), usual activities (-0.074), pain/discomfort (-0.139), and anxiety/depression (-0.139). Decomposition analysis showed that income (38.00%), educational level (31.53%), age (8.05%), and physical activity (7.30%) were the main factors contributing to socioeconomic inequality in poorer HRQoL in Iran.</p><p><strong>Conclusions: </strong>This study identified a pro-poor distribution of poorer HRQoL and reported problems across all dimensions of the EQ-5D-5L in Iran. Targeted interventions should focus on reducing disparities in income, education, and physical activity levels.</p>","PeriodicalId":520687,"journal":{"name":"Journal of preventive medicine and public health = Yebang Uihakhoe chi","volume":" ","pages":"538-547"},"PeriodicalIF":2.1000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12530997/pdf/","citationCount":"0","resultStr":"{\"title\":\"From Rich to Poor: A Decomposition Analysis of Socioeconomic Inequality in Health-related Quality of Life in Iran.\",\"authors\":\"Satar Rezaei\",\"doi\":\"10.3961/jpmph.25.383\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Socioeconomic status (SES) is a well-established predictor of health outcomes across an individual's lifespan. People from lower socioeconomic backgrounds generally have shorter life expectancies and lower levels of health-related quality of life (HRQoL) compared with those from higher-income groups. This study aimed to quantify income-related inequalities in HRQoL among adults in Iran.</p><p><strong>Methods: </strong>A total of 3518 adults aged 18 years and older were selected using a convenience sampling method across 9 provinces in Iran. HRQoL was assessed with the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) instrument, which evaluates 5 dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. The concentration index (CI) approach was used to measure income-related inequality in worse HRQoL (disutility=1-utility value) and to identify the socioeconomic factors contributing to the observed inequality.</p><p><strong>Results: </strong>The CI for worse HRQoL was -0.116, while the CI for the EuroQol visual analogue scale (EQ-VAS) score was 0.027. The CIs for reporting any problems in the EQ-5D-5L dimensions were: mobility (-0.122), self-care (-0.070), usual activities (-0.074), pain/discomfort (-0.139), and anxiety/depression (-0.139). Decomposition analysis showed that income (38.00%), educational level (31.53%), age (8.05%), and physical activity (7.30%) were the main factors contributing to socioeconomic inequality in poorer HRQoL in Iran.</p><p><strong>Conclusions: </strong>This study identified a pro-poor distribution of poorer HRQoL and reported problems across all dimensions of the EQ-5D-5L in Iran. Targeted interventions should focus on reducing disparities in income, education, and physical activity levels.</p>\",\"PeriodicalId\":520687,\"journal\":{\"name\":\"Journal of preventive medicine and public health = Yebang Uihakhoe chi\",\"volume\":\" \",\"pages\":\"538-547\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12530997/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of preventive medicine and public health = Yebang Uihakhoe chi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3961/jpmph.25.383\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of preventive medicine and public health = Yebang Uihakhoe chi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3961/jpmph.25.383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/20 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
From Rich to Poor: A Decomposition Analysis of Socioeconomic Inequality in Health-related Quality of Life in Iran.
Objectives: Socioeconomic status (SES) is a well-established predictor of health outcomes across an individual's lifespan. People from lower socioeconomic backgrounds generally have shorter life expectancies and lower levels of health-related quality of life (HRQoL) compared with those from higher-income groups. This study aimed to quantify income-related inequalities in HRQoL among adults in Iran.
Methods: A total of 3518 adults aged 18 years and older were selected using a convenience sampling method across 9 provinces in Iran. HRQoL was assessed with the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) instrument, which evaluates 5 dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. The concentration index (CI) approach was used to measure income-related inequality in worse HRQoL (disutility=1-utility value) and to identify the socioeconomic factors contributing to the observed inequality.
Results: The CI for worse HRQoL was -0.116, while the CI for the EuroQol visual analogue scale (EQ-VAS) score was 0.027. The CIs for reporting any problems in the EQ-5D-5L dimensions were: mobility (-0.122), self-care (-0.070), usual activities (-0.074), pain/discomfort (-0.139), and anxiety/depression (-0.139). Decomposition analysis showed that income (38.00%), educational level (31.53%), age (8.05%), and physical activity (7.30%) were the main factors contributing to socioeconomic inequality in poorer HRQoL in Iran.
Conclusions: This study identified a pro-poor distribution of poorer HRQoL and reported problems across all dimensions of the EQ-5D-5L in Iran. Targeted interventions should focus on reducing disparities in income, education, and physical activity levels.