Life Satisfaction Among Diverse Participants.

Abstract

Introduction: Mental health (MH) conditions are among the most common chronic health conditions in the United States. Previous studies suggested decreased in life satisfaction post-COVID-19 in other populations outside the United States. This study explored the correlations between life satisfaction and MH among diverse community post-COVID-19 pandemic.

Methods: A cross-sectional, non-experimental, retrospective study. The primary outcome was the Satisfaction with Life Scale total score (SWLS_TS) and the characteristics of the cases from self-reported information. Statistical software SPSS was used for descriptive and inferential analyses.

Results: About 218 cases were included for analysis. Many of the cases were Asian Americans (n = 185, 84.1%). The multiple linear regression model significantly predicted 5.2% of the variance in SWLS_TS. Three out of 6 predictors significantly contributed to the model (age β = .172, t = 2.42, P = .017, ethnicity β = .148, t = 2.07, P = .039, and no history of MH β = .248, t = 3.31, P = .001).

Conclusion: A diverse population was examined post-COVID-19 pandemic, and the findings suggest a positive correlation with age, ethnicity, and no history of MH with SWLS_TS.