Statistical modeling and estimating number of healthy life years lost and healthy life expectancy in India, 2000–2019

IF 2.2 Q3 GERIATRICS & GERONTOLOGY
Aging Medicine Pub Date : 2023-09-27 DOI:10.1002/agm2.12269
Diptismita Jena, Prafulla Kumar Swain, Manas Ranjan Tripathy, Pravat Kumar Sarangi
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引用次数: 0

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.
2000-2019年印度健康寿命损失年数和健康预期寿命的统计建模和估计
摘要目的在本研究中,我们的目标是提出各种模型来估计印度的健康寿命年损失(HLYL)和健康预期寿命(HLE)。方法对HLYL和HLE进行估算,并与直接生命表法和世界卫生组织(WHO)方法进行比较。从死亡率的角度,我们建立了一个log - logistic模型来估计参数(bx),该模型具有HLYL的特征。结果与其他模型(如Gompertz和Weibull模型)进行了比较。在这里,我们也通过从总预期寿命中减去HLYL得到了HLE。结果印度男性、女性和总人口中HLYL呈上升趋势。根据对数- logistic模型,2019年印度总人口、男性和女性的寿命寿命分别为8.79年、8.36年和9.38年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Aging Medicine
Aging Medicine Medicine-Geriatrics and Gerontology
CiteScore
4.10
自引率
0.00%
发文量
38
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