Life Expectancy and COVID-۱۹ Infection: A Population-based Cross-Sectional Study

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-۱۹ on life expectancy in residents of Gonabad city. Methods: This cross-sectional study was conducted on ۳۰۰ Gonabad residents (general population) from February ۲۰۲۱ to April ۲۰۲۲ 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 ۲۳. Findings: Of the ۳۰۰ participants (۵۳% female and ۴۷% male), ۱۵۳ were COVID-۱۹ recovered and ۱۴۷ did not have the history of COVID-۱۹. The average life expectancy score in COVID-۱۹ recovered participants was significantly lower compared to those without the history of COVID-۱۹ (۲۹.۱۷ ± ۵.۹۶ and ۳۱.۹۴±۴.۳۴, respectively, p=۰.۰۰۱). 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<۰.۰۵). Conclusion: The results of this study stated that life expectancy score in COVID-۱۹ recovered participants was a lower than that of participants without COVID-۱۹ history. Therefore, the role of other variables, including age, gender, and disease history on life expectancy was more prominent on life expectancy in COVID-۱۹ recovered participants.

Keywords:

Life expectancy , COVID-۱۹ , Corona Virus-۲۰۱۹