Department of Health Economics, ICMR-National Institute for Research in Tuberculosis, Chennai, India.
Department of Social-Behavioral Research, ICMR-National Institute for Research in Tuberculosis, Chennai, India.
Front Public Health. 2022 Oct 18;10:1000933. doi: 10.3389/fpubh.2022.1000933. eCollection 2022.
From a demographic perspective, the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on life expectancy is not clear. Hence, there is a need to study the number of years of life lost concerning the existing average life expectancy due to COVID-19 in India.
This study aimed to estimate the impact of life expectancy due to the COVID-19 pandemic in India.
We considered day-wise age-specific mortality due to COVID-19 which was extracted from the COVID-19 data repository from March 11, 2020, to June 30, 2021, in India. All-cause mortality was collected from the United Nations population estimates. An abridged life table technique was utilized for calculating life expectancies based on all-cause mortality and mortality due to COVID-19. MortPak software was used to calculate the life expectancy with and without the COVID-19 pandemic. Life expectancy at birth in different age groups was estimated with respect to with and without COVID-19.
A total of 399,459 deaths due to COVID-19 were distributed age wise, and their corresponding life expectancy was calculated. The general mortality was compared with COVID-19 mortality for the various age groups, and it was observed that mortality due to COVID-19 was significantly higher among the elderly age group [i.e., 45 to 60 years (36%) and > 60 years (51%)] when compared with < 25 years (1%) and 26-44 years (11%) (trend Chi-square 7.59; = 0.001). The life expectancy without and with COVID-19 was 69.28 years and 69.16 years, respectively.
Overall, it was estimated that COVID-19 has an impact on life expectancy by 0.12 years during the study period. Even though mortality due to COVID-19 was high, factors such as lockdown, vaccination, and accidents also had an influence on mortality. Thus, there is a need to assess the impact of COVID-19 on life expectancy in future.
从人口统计学的角度来看，严重急性呼吸综合征冠状病毒 2（SARS-CoV-2）对预期寿命的影响尚不清楚。因此，需要研究由于 COVID-19 导致的印度现有平均预期寿命减少的年数。
本研究旨在评估 COVID-19 对印度预期寿命的影响。
我们考虑了 2020 年 3 月 11 日至 2021 年 6 月 30 日期间印度 COVID-19 数据存储库中按天划分的特定年龄的 COVID-19 死亡率。全因死亡率来自联合国人口估计数。利用简化生命表技术，根据全因死亡率和 COVID-19 死亡率计算预期寿命。使用 MortPak 软件计算有和没有 COVID-19 大流行的预期寿命。根据有和没有 COVID-19，估计了不同年龄组的出生时预期寿命。
总共按年龄分布了 399459 例 COVID-19 死亡，并计算了相应的预期寿命。将一般死亡率与 COVID-19 死亡率进行了比较，结果发现，与 <25 岁（1%）和 26-44 岁（11%）相比，COVID-19 死亡率在老年组（即 45-60 岁（36%）和 >60 岁（51%））中显著更高（趋势卡方 7.59；=0.001）。无 COVID-19 和有 COVID-19 的预期寿命分别为 69.28 年和 69.16 年。
总体而言，研究期间估计 COVID-19 对预期寿命的影响为 0.12 年。尽管 COVID-19 死亡率很高，但封锁、疫苗接种和事故等因素也对死亡率产生了影响。因此，需要在未来评估 COVID-19 对预期寿命的影响。
