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Self-directed digital interventions for the improvement of emotion regulation – acceptability and feasibility for adolescents: systematic review

Published online by Cambridge University Press:  06 November 2025

Abigail Thomson*
Affiliation:
Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, UK
Erin Lawrence
Affiliation:
Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, UK
Enxhi Sharxhi
Affiliation:
UCL Institute of Education, University College London, UK
Bonamy Oliver
Affiliation:
UCL Institute of Education, University College London, UK
Ben Wright
Affiliation:
East London NHS Foundation Trust, London, UK City University of London, UK Queen Mary University of London, UK NOVA Medical School, Lisbon, Portugal
Georgina Hosang
Affiliation:
Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, UK
*
Correspondence: Abigail Thomson. Email: a.c.thomson@qmul.ac.uk
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Abstract

Background

In-person, therapist-supported interventions targeting emotion regulation have been shown to improve the mental health of adolescents. Increasingly, self-directed digital interventions (e.g. mobile apps) are being developed as a cost-effective, scalable solution to widen access to support. However, evidence of the acceptability and feasibility of these interventions has yet to be synthesised.

Aims

To identify existing evidence on the benefits, acceptability and feasibility of self-directed digital interventions that target emotion regulation in adolescents (aged 11–18 years).

Method

A Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA)-guided systematic review was conducted to identify studies published from 1 January 2010 to 13 November 2024 investigating self-directed digital emotion regulation interventions for adolescents. A total of ten electronic databases were searched (e.g. PsycInfo). Data on the effects, and perceived acceptability, of the interventions were extracted, with results narratively synthesised. Methodological quality was assessed using the Effective Public Health Practice Project Quality Assessment tool.

Results

Six out of 9049 studies met the eligibility criteria and included preliminary evidence on self-directed digital interventions that target emotion regulation, in a pooled sample of 1271 adolescents. All interventions identified were brief (most <1 month) and included different components to target emotion regulation (e.g. mindfulness, mood monitoring). Most interventions demonstrated benefits for emotion regulation and were acceptable for use by an adolescent population.

Conclusions

Although the evidence base was small, the included studies demonstrate preliminary evidence of the benefits and acceptability of self-directed, digital interventions for emotion regulation in adolescents. Future research should focus on approaches beyond mindfulness, including components to target the related skills required to access emotion regulation strategies (e.g. emotional awareness) and use them flexibly.

Information

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Fig. 1 Gross’s Process Model of Emotion Regulation.12 Situation selection can be understood as an individual’s efforts to alter the likelihood of being in an emotion-evoking situation. Situation modification involves modifying a situation at the time to change its emotional impact. Attentional deployment involves directing attention towards or away from an emotion or its causes. Cognitive change enables reappraisal of a situation to change its emotional significance. Response modulation includes any efforts to modify the behavioural, experiential and physiological elements of an emotional response.12

Figure 1

Table 1 Eligibility criteria for screening

Figure 2

Fig. 2 Study selection.

Figure 3

Table 2 Study characteristics

Figure 4

Table 3 Intervention characteristics

Figure 5

Table 4 Intervention components and outcomes reported

Figure 6

Table 5 Acceptability of the interventions

Figure 7

Fig. 3 Model of emotion regulation intervention targets. This figure shows Gross’s (1998) Process Model of Emotion Regulation. Examples of related emotion regulation skills are listed alongside. The included interventions are numbered from one to six. [1] Hilt & Swords, 2021, [2] Hilt et al, 2023, [3] Houck et al, 2022, [4] Mrazek et al, 2019, [5] Schnitker et al, 2021, [6] Kuosmanen et al, 2017. Those shown in the red box [1–2, 4–5] included intervention components that primarily targeted attention processes in emotion regulation. Those shown in blue [3, 6] targeted each emotion regulation process, from situation selection to response modulation, as well as related emotion regulation skills shown in the figure. NB: []*significant improvement in emotion regulation found in the present systematic review (P < 0.05).

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