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Country/Region Level Pandemic Severity Moderates the Relationships among Risk Experience, Perceived Life Satisfaction, and Psychological Distress in COVID-19.


ABSTRACT: Scholars and communications practitioners worldwide have sought novel resilience models amid heightened rates of psychological distress caused by the COVID-19 pandemic. We examined perceived life satisfaction as a determinant of resilience. Additionally, we investigated the assumption that perceived pandemic severity at the country/region level moderates structural relationships within our risk-resilience model. Analyzing more than 34,000 valid samples from 15 countries/regions, we found that (1) perceived life satisfaction alleviated psychological distress across all 15 countries/regions; and (2) country/region-level pandemic severity moderated the relationships among COVID-19 symptom experience, perceived life satisfaction, and psychological distress. The effects of COVID-19 symptom experience and perceived life satisfaction on psychological distress were conditional. We discuss possible mechanisms behind our findings and provide practical implications for mitigating psychological distress during public health crises.

SUBMITTER: Huang YC 

PROVIDER: S-EPMC9778681 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Country/Region Level Pandemic Severity Moderates the Relationships among Risk Experience, Perceived Life Satisfaction, and Psychological Distress in COVID-19.

Huang Yi-Hui Christine YC   Sun Jie J   Liu Ruoheng R   Lau Jennifer J   Cai Qinxian Q  

International journal of environmental research and public health 20221209 24


Scholars and communications practitioners worldwide have sought novel resilience models amid heightened rates of psychological distress caused by the COVID-19 pandemic. We examined perceived life satisfaction as a determinant of resilience. Additionally, we investigated the assumption that perceived pandemic severity at the country/region level moderates structural relationships within our risk-resilience model. Analyzing more than 34,000 valid samples from 15 countries/regions, we found that (1  ...[more]

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