Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jun 8, 2025
Date Accepted: Sep 24, 2025

The final, peer-reviewed published version of this preprint can be found here:

Predictors of Loneliness and Psychological Distress in Older Adults During the COVID-19 Pandemic: National Cross-Sectional Study

Orlandini R, Matana A, Švaljug D, Gusar I, Antičević V

Predictors of Loneliness and Psychological Distress in Older Adults During the COVID-19 Pandemic: National Cross-Sectional Study

JMIR Public Health Surveill 2025;11:e78728

DOI: 10.2196/78728

PMID: 41237326

PMCID: 12617962

Predictors of Loneliness and Psychological Distress in Older Adults During the COVID-19 Pandemic: A National Cross-Sectional Study

  • Rahela Orlandini; 
  • Antonela Matana; 
  • Deana Švaljug; 
  • Ivana Gusar; 
  • Vesna Antičević

ABSTRACT

Background:

The COVID-19 pandemic significantly affected the mental health of older adults, particularly by increasing loneliness and psychological distress. While various contributing factors have been studied, the role of preferred solitude as a potential predictor and mediator remains poorly understood.

Objective:

This national cross-sectional study aimed to examine predictors of loneliness and psychological distress among older adults during the pandemic, with a specific focus on preferred solitude and its mediating role between pandemic-specific stressors and self-efficacy.

Methods:

A total of 2053 Croatian residents aged ≥65 were recruited using snowball sampling. Validated instruments were used: the UCLA Loneliness Scale, Preference for Solitude Scale, CORE-OM, GSE and PSQ-OA. Hierarchical regression and path analysis were employed, with statistical significance set at P<.05.

Results:

For loneliness, the final model explained 30.7% of the variance (R²=0.307, RMSE=0.708, P<.001). Significant predictors included marital status (e.g., never married: B=0.390, P<.001), psychological problems (B=0.020, P<.001), functionality (B=-0.037, P<.001), and social distancing (B=0.014, P<.001). Preferred solitude was also a significant predictor of loneliness (B=0.011, P<.001). For psychological distress, the final model explained 30.8% of the variance (R²=0.308, RMSE=14.872, P<.001). Self-efficacy emerged as the strongest negative predictor of distress (B=-1.066, P<.001), whereas preferred solitude was a positive predictor (B=2.403, P<.001). The variable “spending a few hours alone per day” was associated with lower distress levels (B=-3.509, P=.003), while “frequent or superficial interactions with acquaintances (e.g., at least once a week)” were related to higher distress (B=4.321, P=.002). Path analysis revealed that social distancing had a significant direct negative effect on self-efficacy (β=-.391, P<.001), whereas preferred solitude did not significantly mediate this relationship (indirect effect: β=-.006, P=.087).

Conclusions:

Psychological problems and reduced functionality emerged as the strongest predictors of loneliness in older adults during the pandemic. Self-efficacy was the most important protective factor against psychological distress. Although preferred solitude can have adaptive benefits, in the context of this study it was associated with increased loneliness and distress during enforced isolation. The findings suggest that public health interventions should balance respect for individual preferences with the provision of active support for vulnerable populations during crises.


 Citation

Please cite as:

Orlandini R, Matana A, Švaljug D, Gusar I, Antičević V

Predictors of Loneliness and Psychological Distress in Older Adults During the COVID-19 Pandemic: National Cross-Sectional Study

JMIR Public Health Surveill 2025;11:e78728

DOI: 10.2196/78728

PMID: 41237326

PMCID: 12617962

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.