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Life Satisfaction Among Diverse Participants
Razel Bacuetes Milo1, Maria Luisa B Ramira2, Nicole Martinez1
1Hahn School of Nursing and Health Science, Beyster Institute for Nursing Research, University of San Diego, San Diego, CA, USA.
Life satisfaction post-COVID-19 is linked to age, ethnicity, and no prior mental health history. These factors positively correlate with overall life satisfaction in diverse communities.
Area of Science:
- Psychology
- Public Health
- Sociology
Background:
- Mental health (MH) conditions are prevalent chronic health issues in the US.
- Previous research indicated reduced life satisfaction after COVID-19 in international populations.
- This study addresses the gap by examining life satisfaction and MH in a diverse US community post-pandemic.
Purpose of the Study:
- To explore the correlations between life satisfaction and mental health.
- To identify factors associated with life satisfaction in a diverse community after the COVID-19 pandemic.
Main Methods:
- A cross-sectional, non-experimental, retrospective study design.
- The Satisfaction with Life Scale total score (SWLS_TS) was the primary outcome measure.
- Data were analyzed using SPSS for descriptive and inferential statistics.
Main Results:
- The study included 218 participants, with 84.1% identifying as Asian American.
- Multiple linear regression analysis showed that age, ethnicity, and no history of mental health conditions significantly predicted life satisfaction (SWLS_TS).
- These three factors explained 5.2% of the variance in life satisfaction scores.
Conclusions:
- The findings indicate a positive correlation between higher life satisfaction and increased age, diverse ethnicity, and absence of a prior mental health history.
- These demographic and health history factors are associated with greater life satisfaction in the post-COVID-19 era.
- The study highlights the importance of considering these factors when assessing life satisfaction in diverse populations.
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