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The Impact of Digital Mental Health Services on Loneliness and Mental Health: Results from a Prospective, Observational Study.

Created on 25 Jul 2023

Authors

Kirby Magid, Sara J Sagui-Henson, Cynthia Castro Sweet, Brooke J Smith, Camille E Welcome Chamberlain, Sara M Levens

Published in

International journal of behavioral medicine. Jul 24, 2023. Epub Jul 24, 2023.

Abstract

Loneliness has increased since the COVID-19 pandemic and negatively impacts mental health. This study examined relationships between loneliness and mental health among adults using a digital mental health platform.
A purposive sample of 919 participants (97% response rate) who were newly enrolled in the platform completed a survey on loneliness, depression, anxiety, well-being, stress, social support, and comorbidities at baseline and 3 months. Platform engagement was tracked during this period. We examined baseline differences between lonely and non-lonely participants; associations between loneliness, mental health symptoms, and comorbidities; and changes in loneliness and mental health through engagement in any form of care.
At baseline, 57.8% of the sample were categorized as lonely. Loneliness was associated with younger age, fewer years of education, and the presence of a comorbidity (p values < .05). Baseline loneliness was associated with greater depression, anxiety, and stress and lower well-being and social support (ps < .001). The percentage of lonely participants decreased at follow-up (57.6% to 52.9%, p = .03). Those who improved in loneliness improved in mental health symptoms, well-being, and social support (ps < .001). Lonely participants who engaged in any form of care reported a greater reduction in loneliness than those who did not engage (p = .04).
This study confirms previous findings of the high prevalence of loneliness among adults and risk factors for increased loneliness. Findings highlight the potential of digital platforms to reach lonely individuals and alleviate loneliness through remote mental health support.

PMID:
37488324
Bibliographic data and abstract were imported from PubMed on 25 Jul 2023.

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