Life expectancy and COVID-19 infection: a population-based cross-sectional study

ABSTRACT

Background and Objective: Life expectancy and the consequences of its impairment may affect quality of life and suicide. The aim of this study was to assess the impact of COVID-19 on life expectancy in residents of Gonabad city. Methods: This cross-sectional study was conducted on 300 Gonabad residents (general population) from February 2021 to April 2022 using stratified-random sampling method. Data collection was performed through phone interview. Demographic questionnaire and Schneider's life expectancy scale were used. Data analysis was performed using the SPSS software version 23. Findings: Of the 300 participants (53% female and 47% male), 153 were COVID-19 recovered and 147 did not have the history of COVID-19. The average life expectancy score in COVID-19 recovered participants was significantly lower compared to those without the history of COVID-19 (29.17 +or- 5.96 and 31.94+or-4.34, respectively, p=0.001). Also, there was a significant and positive relationship between mean scores of life expectancy and age, gender, education, economic status, the presence of high-risk individuals at home, history of underlying diseases, and smoking (p<0.05). Conclusion: The results of this study stated that life expectancy score in COVID-19 recovered participants was a lower than that of participants without COVID-19 history. Therefore, the role of other variables, including age, gender, and disease history on life expectancy was more prominent on life expectancy in COVID-19 recovered participants.