Investigating risk profiles of smartphone activities and psychosocial factors in adolescents during the <scp>COVID</scp>‐19 pandemic
Abstract Associations of adolescents' smartphone use and well‐being have been contradictory. The present study investigates patterns of smartphone use and psychosocial risk / protective factors in US adolescents during COVID‐19 and examines their associations with depression symptom trajectories from 5 yearly waves beginning prior to the COVID‐19 pandemic. Latent profile analyses revealed three risk profiles, including a high risk profile (18.9% adolescents) characterized by elevated social media use, high levels of psychosocial risk, and low levels of protective variables. Latent growth mixture modeling identified three depression trajectories; stable low, moderate‐increasing, and high‐severely increasing depression. Both the moderate‐increasing and high‐severely increasing depression trajectories were associated with membership in the high risk profile. Results highlight the impacts of type of smartphone activity rather than use per se and can inform targeted intervention strategies.
Authors
- Elizabeth A. Nick (ORCID: https://orcid.org/0000-0002-2258-4401)
- Ann‐Christin Haag (ORCID: https://orcid.org/0000-0002-3865-8727)
- George A. Bonanno (ORCID: https://orcid.org/0000-0002-8260-4435)
- Mitchell J. Prinstein (ORCID: https://orcid.org/0000-0002-7587-8665)
- Shuquan Chen (ORCID: https://orcid.org/0000-0001-6343-1754)
- Eva H. Telzer
Institutions
- University of North Carolina at Chapel Hill (US)
- Universität Ulm (DE)
- Yale University (US)
- German Center for Diabetes Research (DE)
- Columbia University (US)
Publication Details
- Journal
- Journal of Research on Adolescence
- Published
- 2024-12-29
- DOI
- https://doi.org/10.1111/jora.13045
- Citations
- 1
- Primary Topic
- Impact of Technology on Adolescents
- Type
- article
- Field-Weighted Citation Impact
- 1.13