Jena Diptismita, Swain Prafulla Kumar, Tripathy Manas Ranjan, Sarangi Pravat Kumar
Department of Statistics Ravenshaw University Cuttack Odisha India.
Department of Statistics Utkal University Bhubaneswar Odisha India.
Aging Med (Milton). 2023 Sep 27;6(4):435-445. doi: 10.1002/agm2.12269. eCollection 2023 Dec.
In this study, our objective is to propose various models to estimate healthy life year lost (HLYL) and healthy life expectancy (HLE) in India.
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.
The result shows an increasing trend of HLYL among the male, female, and the total population in India.
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.
在本研究中，我们的目的是提出各种模型来估计印度的健康生命年损失（HLYL）和健康预期寿命（HLE）。
对HLYL和HLE进行了估计，并将这些估计值与直接生命表法和世界卫生组织（WHO）方法进行了比较。从死亡率的角度来看，我们开发了一个对数逻辑模型来估计以HLYL为特征的参数（bx）。将结果与其他模型进行了比较，如Gompertz模型和Weibull模型。在这里，我们还通过从总预期寿命中减去HLYL得到了HLE。
结果显示印度男性、女性和总人口的HLYL呈上升趋势。
根据对数逻辑模型，2019年印度总人口、男性和女性的HLYL估计分别为8.79年、8.36年和9.38年。
