{"title":"经济增长与卫生公平之间的关系是什么?83个中低收入国家的跨国研究。","authors":"Toby Freeman, Hailay Abrha Gesesew, Clare Bambra, Heather Brown, Shahid Ullah, Jennie Popay, Fran Baum","doi":"10.1177/27551938251345969","DOIUrl":null,"url":null,"abstract":"<p><p>Inequities in infant and child mortality are an urgent public health issue for lower- and middle-income countries (LMICs). We sought to establish whether gross domestic product (GDP) is associated with the extent of health inequalities within LMICs. We conducted a secondary analysis of publicly available health equity data from the Health Equity Database of LMICs and GDP data from the World Bank. We used infant and under-five mortality rates by socioeconomic quintile. The slope of inequality index and relative index of inequality were calculated for both outcomes for each country (<i>n</i> = 83). Mixed effect linear regression analysis was used to investigate the relationship with GDP. Higher GDP was associated with a significant decrease in absolute socioeconomic inequities in both infant (<i>f</i><sup>2</sup> = 0.26) and under-five mortality (<i>f</i><sup>2</sup> = 0.33). Higher GDP was also associated with relative inequities in infant (<i>f</i><sup>2</sup> = 0.08) and under-five mortality (<i>f</i><sup>2</sup> = 0.07). Thus, increasing GDP may help reduce absolute inequities in infant and under-five mortality, but may increase relative inequities. Understanding drivers of the distribution of wealth and income to flatten the socioeconomic gradient in health are crucial to reducing health inequities.</p>","PeriodicalId":73479,"journal":{"name":"International journal of social determinants of health and health services","volume":" ","pages":"27551938251345969"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What is the Association Between Economic Growth and Health Equity? A Cross-National Study of 83 Low- and Middle-income Countries.\",\"authors\":\"Toby Freeman, Hailay Abrha Gesesew, Clare Bambra, Heather Brown, Shahid Ullah, Jennie Popay, Fran Baum\",\"doi\":\"10.1177/27551938251345969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Inequities in infant and child mortality are an urgent public health issue for lower- and middle-income countries (LMICs). We sought to establish whether gross domestic product (GDP) is associated with the extent of health inequalities within LMICs. We conducted a secondary analysis of publicly available health equity data from the Health Equity Database of LMICs and GDP data from the World Bank. We used infant and under-five mortality rates by socioeconomic quintile. The slope of inequality index and relative index of inequality were calculated for both outcomes for each country (<i>n</i> = 83). Mixed effect linear regression analysis was used to investigate the relationship with GDP. Higher GDP was associated with a significant decrease in absolute socioeconomic inequities in both infant (<i>f</i><sup>2</sup> = 0.26) and under-five mortality (<i>f</i><sup>2</sup> = 0.33). Higher GDP was also associated with relative inequities in infant (<i>f</i><sup>2</sup> = 0.08) and under-five mortality (<i>f</i><sup>2</sup> = 0.07). Thus, increasing GDP may help reduce absolute inequities in infant and under-five mortality, but may increase relative inequities. Understanding drivers of the distribution of wealth and income to flatten the socioeconomic gradient in health are crucial to reducing health inequities.</p>\",\"PeriodicalId\":73479,\"journal\":{\"name\":\"International journal of social determinants of health and health services\",\"volume\":\" \",\"pages\":\"27551938251345969\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of social determinants of health and health services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/27551938251345969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of social determinants of health and health services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/27551938251345969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
What is the Association Between Economic Growth and Health Equity? A Cross-National Study of 83 Low- and Middle-income Countries.
Inequities in infant and child mortality are an urgent public health issue for lower- and middle-income countries (LMICs). We sought to establish whether gross domestic product (GDP) is associated with the extent of health inequalities within LMICs. We conducted a secondary analysis of publicly available health equity data from the Health Equity Database of LMICs and GDP data from the World Bank. We used infant and under-five mortality rates by socioeconomic quintile. The slope of inequality index and relative index of inequality were calculated for both outcomes for each country (n = 83). Mixed effect linear regression analysis was used to investigate the relationship with GDP. Higher GDP was associated with a significant decrease in absolute socioeconomic inequities in both infant (f2 = 0.26) and under-five mortality (f2 = 0.33). Higher GDP was also associated with relative inequities in infant (f2 = 0.08) and under-five mortality (f2 = 0.07). Thus, increasing GDP may help reduce absolute inequities in infant and under-five mortality, but may increase relative inequities. Understanding drivers of the distribution of wealth and income to flatten the socioeconomic gradient in health are crucial to reducing health inequities.