1. Life Satisfaction Among Diverse Participants.
- Author
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Milo, Razel Bacuetes, Ramira, Maria Luisa B., and Martinez, Nicole
- Subjects
COMPETENCY assessment (Law) ,CROSS-sectional method ,SATISFACTION ,RESEARCH funding ,DATA analysis ,SCIENTIFIC observation ,MULTIPLE regression analysis ,KRUSKAL-Wallis Test ,COMMUNITIES ,DESCRIPTIVE statistics ,RETROSPECTIVE studies ,INFERENTIAL statistics ,STATISTICS ,SOCIODEMOGRAPHIC factors ,DATA analysis software ,COVID-19 pandemic ,CULTURAL pluralism - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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