Effects of an intervention targeting social media app use on well-being outcomes

A randomized controlled trial

Journal Article (2025)
Author(s)

Lina Christin Brockmeier (Freie Universität Berlin)

Lea Mertens (Universiteit Maastricht)

Christina Roitzheim (Wellspent GmbH)

Theda Radtke (Bergische Universität Wuppertal )

Tilman Dingler (TU Delft - Human-Centred Artificial Intelligence)

Jan Keller-Findeisen (Freie Universität Berlin)

Research Group
Human-Centred Artificial Intelligence
DOI related publication
https://doi.org/10.1111/aphw.12646
More Info
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Publication Year
2025
Language
English
Research Group
Human-Centred Artificial Intelligence
Issue number
1
Volume number
17
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Abstract

Background
Interventions targeting social media use show mixed results in improving well-being outcomes, particularly for persons with problematic forms of smartphone use. This study assesses the effectiveness of an intervention app in enhancing well-being outcomes and the moderating role of persons' perceptions about problematic smartphone use (PSU).

Methods
In a randomized controlled trial, N = 70 participants, allocated to the intervention (n = 35) or control condition (n = 35), completed weekly online surveys at baseline, post-intervention, and follow-up. Participants from the intervention condition received personalized full-screen nudges to reduce their social media app use. This secondary analysis focuses on the repeatedly assessed outcomes well-being, positive affect, negative affect, and perceived stress. Linear mixed models were computed.

Results
No significant time x group effects were found, but intervention condition participants reported higher well-being and lower negative affect and stress levels at follow-up. Only one significant moderation was found, indicating that participants reporting higher PSU levels benefited more from the intervention in reducing stress.

Conclusions
The intervention was partly effective and particularly beneficial in reducing stress among smartphone users with higher PSU, highlighting the need to tailor interventions. Present findings need to be replicated by future research using a larger sample size.