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Social Isolation, eHealth Engagement, and Psychological Distress Among U.S. Adults
Tamal Joyti Roy1, Broti Mondal Bonya1
1Department of Psychological, Health, and Learning Sciences, University of Houston, TX, USA.
Summary
Perceived social isolation links to psychological distress, with health self-efficacy being a key pathway. Digital health engagement alone also showed an indirect effect, but not in series with self-efficacy.
Area of Science:
- Psychology
- Public Health
- Health Communication
Background:
- Perceived social isolation is a significant public health issue linked to negative psychological outcomes.
- The pathways connecting social isolation to distress, especially via digital health behaviors, require further understanding.
- Theoretical frameworks like Social Cognitive Theory inform the investigation of these complex relationships.
Purpose of the Study:
- To examine the serial mediation model linking social isolation to psychological distress.
- To investigate the roles of eHealth engagement and health self-efficacy as mediators.
- To explore these associations within the U.S. adult population.
Main Methods:
- Utilized data from the Health Information National Trends Survey (HINTS 7) with 5,533 participants.
- Measured social isolation using the PROMIS Social Isolation T-score and psychological distress with the PHQ-4.
- Employed survey-weighted regression models with jackknife replicate variance estimation for serial mediation analysis.
Main Results:
- Social isolation showed a positive association with psychological distress.
- Significant indirect effects were found through health self-efficacy alone and eHealth engagement alone.
- The serial indirect pathway via eHealth engagement followed by health self-efficacy was not statistically significant.
Conclusions:
- Health self-efficacy serves as a significant mediator between social isolation and psychological distress.
- eHealth engagement may represent a reactive behavior rather than a direct pathway for isolated individuals.
- Cross-sectional data preclude causal interpretations, highlighting the need for longitudinal research.
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