{"title":"Socioeconomic inequalities in noncommunicable disease mortality in Islamic Republic of Iran.","authors":"Efat Mohamadi, Amirhossein Takian, Fateme Yaftian, Alireza Olyaeemanesh, Ali Sheidaei, Fatemeh Ghavidel, Ramin Heshmat, Ardeshir Khosravi, Gita Shafiee","doi":"10.26719/2026.32.7.437","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Limited evidence on the socioeconomic inequalities in mortality due to noncommunicable disease hampers the development and implementation of policies to improve health equity in Islamic Republic of Iran.</p><p><strong>Aim: </strong>To assess the socioeconomic inequalities in mortality caused by major noncommunicable diseases across provinces and districts in Islamic Republic of Iran.</p><p><strong>Methods: </strong>We obtained data for all deaths attributed to noncommunicable disease (1 105 000) for the period 2016-2018 across 429 districts in 31 provinces of Islamic Republic of Iran. We also obtained aggregated household income and expenditure data from the statistical centre. We analysed the data with R version 4.5.1, using the index of disparity to measure inequality and regression-based relative index of inequality to measure socioeconomic inequalities in noncommunicable disease mortality.</p><p><strong>Results: </strong>The average noncommunicable disease mortality ranged from 36.02 per 100 000 population in Kohgiluyeh and Boyer-Ahmad to 73.06 per 100 000 in Golestan. The index of disparity was >40% in Chaharmahal and Bakhtiari, Sistan and Baluchestan, and Kohgiluyeh and Boyer-Ahmad, and <20% in Semnan and Qazvin. Cardiovascular disease mortality showed the highest difference between adjacent socioeconomic groups, decreasing from 144.1 to 118.5 per 100 000 population between the first and second groups.</p><p><strong>Conclusion: </strong>Noncommunicable disease mortality varied across provinces and socioeconomic groups, particularly for cardiovascular disease mortality. To reduce inequalities in mortality due to noncommunicable disease within and between the provinces, there is a need to strengthen health inequality monitoring using evidence on the causes of death, risk factors and the social determinants of health.</p>","PeriodicalId":93985,"journal":{"name":"Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit","volume":"32 7","pages":"437-445"},"PeriodicalIF":1.9000,"publicationDate":"2026-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26719/2026.32.7.437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Limited evidence on the socioeconomic inequalities in mortality due to noncommunicable disease hampers the development and implementation of policies to improve health equity in Islamic Republic of Iran.
Aim: To assess the socioeconomic inequalities in mortality caused by major noncommunicable diseases across provinces and districts in Islamic Republic of Iran.
Methods: We obtained data for all deaths attributed to noncommunicable disease (1 105 000) for the period 2016-2018 across 429 districts in 31 provinces of Islamic Republic of Iran. We also obtained aggregated household income and expenditure data from the statistical centre. We analysed the data with R version 4.5.1, using the index of disparity to measure inequality and regression-based relative index of inequality to measure socioeconomic inequalities in noncommunicable disease mortality.
Results: The average noncommunicable disease mortality ranged from 36.02 per 100 000 population in Kohgiluyeh and Boyer-Ahmad to 73.06 per 100 000 in Golestan. The index of disparity was >40% in Chaharmahal and Bakhtiari, Sistan and Baluchestan, and Kohgiluyeh and Boyer-Ahmad, and <20% in Semnan and Qazvin. Cardiovascular disease mortality showed the highest difference between adjacent socioeconomic groups, decreasing from 144.1 to 118.5 per 100 000 population between the first and second groups.
Conclusion: Noncommunicable disease mortality varied across provinces and socioeconomic groups, particularly for cardiovascular disease mortality. To reduce inequalities in mortality due to noncommunicable disease within and between the provinces, there is a need to strengthen health inequality monitoring using evidence on the causes of death, risk factors and the social determinants of health.