{"title":"Statistical modeling and estimating number of healthy life years lost and healthy life expectancy in India, 2000–2019","authors":"Diptismita Jena, Prafulla Kumar Swain, Manas Ranjan Tripathy, Pravat Kumar Sarangi","doi":"10.1002/agm2.12269","DOIUrl":null,"url":null,"abstract":"Abstract Objective In this study, our objective is to propose various models to estimate healthy life year lost (HLYL) and healthy life expectancy (HLE) in India. Methods The HLYL and HLE were estimated and further these estimates were compared with the direct life table method and the World Health Organization (WHO) method. From the mortality perspective, we have developed a log‐logistic model for estimating the parameter (bx), which is characterized by HLYL. The results were compared with other models, such as the Gompertz and Weibull model. Here, we have also obtained the HLE by subtracting HLYL from the total life expectancy. Results The result shows an increasing trend of HLYL among the male, female, and the total population in India. Conclusion From the log‐logistic model, the HLYL was estimated as 8.79 years, 8.36 years, and 9.38 years for the total, male, and female populations, respectively, in India during 2019.","PeriodicalId":32862,"journal":{"name":"Aging Medicine","volume":"69 1","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/agm2.12269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
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Abstract
Abstract Objective In this study, our objective is to propose various models to estimate healthy life year lost (HLYL) and healthy life expectancy (HLE) in India. Methods The HLYL and HLE were estimated and further these estimates were compared with the direct life table method and the World Health Organization (WHO) method. From the mortality perspective, we have developed a log‐logistic model for estimating the parameter (bx), which is characterized by HLYL. The results were compared with other models, such as the Gompertz and Weibull model. Here, we have also obtained the HLE by subtracting HLYL from the total life expectancy. Results The result shows an increasing trend of HLYL among the male, female, and the total population in India. Conclusion From the log‐logistic model, the HLYL was estimated as 8.79 years, 8.36 years, and 9.38 years for the total, male, and female populations, respectively, in India during 2019.
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