Guanqiao Li , Zhenghao Fan , Yangzhong Zhou , Yijun Chen , Xuanling Shi , Xiaolei Xie , Linqi Zhang
{"title":"1990 - 2017年风险因素对健康调整预期寿命(HALE)变化的影响:GBD研究的系列横断面分析","authors":"Guanqiao Li , Zhenghao Fan , Yangzhong Zhou , Yijun Chen , Xuanling Shi , Xiaolei Xie , Linqi Zhang","doi":"10.1016/j.glt.2022.12.002","DOIUrl":null,"url":null,"abstract":"<div><p>The application of health adjusted life expectancy (HALE) in informing policy-making decisions and prioritizing health interventions require reliable quantitative and comparative information. To quantify how risk factors affect HALE from 1990 to 2017 and associations with attributable diseases and injuries, we conducted a demographic analysis using serial cross-sectional data from the Global Burden of Disease (GBD) Study 2017 and analysed risk-specific contribution to changes in HALE at birth (HALE<sub>0</sub>) globally and by 21 regions, and 195 countries and territories. From 1990 to 2017, global HALE<sub>0</sub> increased by 6.33 years, of which 3.94 years were attributed to all designated risks. Specifically, 2.38 years came from improvement in behavioural risks, followed by 1.20 years from environmental and occupational risks. The top three contributors to increased HALE<sub>0</sub> were due to better control of child growth failure (0.68 years), household air pollution from solid fuels (0.47 years), and smoking (0.42 years). The leading risks causing HALE<sub>0</sub> decrease were high body-mass index (BMI, −0.08 years), unsafe sex (−0.07 years) and drug use (−0.03 years). These HALE<sub>0</sub> decreases were linked to diabetes, HIV/AIDS, and drug use disorders, respectively. The largest decline in HALE<sub>0</sub> across countries was due to high BMI (in 61 countries), unsafe sex (34), and drug use (29). Improved control of behavioural and environmental risks contributed most to increase in population health. Individual risk factors with negative contributions require future effective interventions to reversing the effects. This quantitative analysis highlights the potential roadmaps for sustained interventions on specific risk factors globally and locally.</p></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589791822000172/pdfft?md5=ab4a9b1a94c8ea68280217be06324fc1&pid=1-s2.0-S2589791822000172-main.pdf","citationCount":"1","resultStr":"{\"title\":\"The contributions of risk factors on health adjusted life expectancy (HALE) changes from 1990 to 2017: A serial cross-sectional analysis from the GBD study\",\"authors\":\"Guanqiao Li , Zhenghao Fan , Yangzhong Zhou , Yijun Chen , Xuanling Shi , Xiaolei Xie , Linqi Zhang\",\"doi\":\"10.1016/j.glt.2022.12.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The application of health adjusted life expectancy (HALE) in informing policy-making decisions and prioritizing health interventions require reliable quantitative and comparative information. To quantify how risk factors affect HALE from 1990 to 2017 and associations with attributable diseases and injuries, we conducted a demographic analysis using serial cross-sectional data from the Global Burden of Disease (GBD) Study 2017 and analysed risk-specific contribution to changes in HALE at birth (HALE<sub>0</sub>) globally and by 21 regions, and 195 countries and territories. From 1990 to 2017, global HALE<sub>0</sub> increased by 6.33 years, of which 3.94 years were attributed to all designated risks. Specifically, 2.38 years came from improvement in behavioural risks, followed by 1.20 years from environmental and occupational risks. The top three contributors to increased HALE<sub>0</sub> were due to better control of child growth failure (0.68 years), household air pollution from solid fuels (0.47 years), and smoking (0.42 years). The leading risks causing HALE<sub>0</sub> decrease were high body-mass index (BMI, −0.08 years), unsafe sex (−0.07 years) and drug use (−0.03 years). These HALE<sub>0</sub> decreases were linked to diabetes, HIV/AIDS, and drug use disorders, respectively. The largest decline in HALE<sub>0</sub> across countries was due to high BMI (in 61 countries), unsafe sex (34), and drug use (29). Improved control of behavioural and environmental risks contributed most to increase in population health. Individual risk factors with negative contributions require future effective interventions to reversing the effects. This quantitative analysis highlights the potential roadmaps for sustained interventions on specific risk factors globally and locally.</p></div>\",\"PeriodicalId\":33615,\"journal\":{\"name\":\"Global Transitions\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2589791822000172/pdfft?md5=ab4a9b1a94c8ea68280217be06324fc1&pid=1-s2.0-S2589791822000172-main.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Transitions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2589791822000172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Transitions","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589791822000172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
The contributions of risk factors on health adjusted life expectancy (HALE) changes from 1990 to 2017: A serial cross-sectional analysis from the GBD study
The application of health adjusted life expectancy (HALE) in informing policy-making decisions and prioritizing health interventions require reliable quantitative and comparative information. To quantify how risk factors affect HALE from 1990 to 2017 and associations with attributable diseases and injuries, we conducted a demographic analysis using serial cross-sectional data from the Global Burden of Disease (GBD) Study 2017 and analysed risk-specific contribution to changes in HALE at birth (HALE0) globally and by 21 regions, and 195 countries and territories. From 1990 to 2017, global HALE0 increased by 6.33 years, of which 3.94 years were attributed to all designated risks. Specifically, 2.38 years came from improvement in behavioural risks, followed by 1.20 years from environmental and occupational risks. The top three contributors to increased HALE0 were due to better control of child growth failure (0.68 years), household air pollution from solid fuels (0.47 years), and smoking (0.42 years). The leading risks causing HALE0 decrease were high body-mass index (BMI, −0.08 years), unsafe sex (−0.07 years) and drug use (−0.03 years). These HALE0 decreases were linked to diabetes, HIV/AIDS, and drug use disorders, respectively. The largest decline in HALE0 across countries was due to high BMI (in 61 countries), unsafe sex (34), and drug use (29). Improved control of behavioural and environmental risks contributed most to increase in population health. Individual risk factors with negative contributions require future effective interventions to reversing the effects. This quantitative analysis highlights the potential roadmaps for sustained interventions on specific risk factors globally and locally.