University students’ interest in intervention research participation is associated with gender, age and symptoms of depression, general and social anxiety, panic disorder and self-harm

Research in the mental health field has focused on exploration and implementation of digital interventions both in research and society. However, demographic and mental health factors that may influence engagement with research on such interventions have not been explored. This study aims to investigate the relationship between demographics, signs of mental disorders, and interest in participating in an intervention study. Using data collected in the Swedish arm of the World Health Organization’s World Mental Health International College Student (WHO-WMH-ICS) initiative (n = 9140), we conducted a multinomial logistic regression to assess relationships between these factors. Older age, as well as female and non-binary gender identities, were factors significantly associated with increased interest in the intervention study. Treatment flags, indicating fulfilment of criteria for possible mental disorder diagnosis, were significantly associated with clear interest (“yes” response) in intervention research for five of the 15 treatment flags: depression, general anxiety, social anxiety, panic disorder and self-harm. Possible interest (“maybe” response) was also indicated for four of these, excluding general anxiety. These findings may facilitate a better-informed approach to recruiting student participants for treatment research, enhancing unbiased recruitment practices, reducing treatment gaps, and increasing engagement in digital intervention studies for improved mental health.

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Publication Details

Journal
BMC Research Notes
Published
2026-03-29
DOI
https://doi.org/10.1186/s13104-026-07785-8
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
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article

University students’ interest in intervention research participation is associated with gender, age and symptoms of depression, general and social anxiety, panic disorder and self-harm

Claes Andersson, Britt Stikvoort, Anne H Berman, Elisabeth Tove Irving
BMC Research Notes
Digital Mental Health Interventions
article

University students’ interest in intervention research participation is associated with gender, age and symptoms of depression, general and social anxiety, panic disorder and self-harm

Claes Andersson, Britt Stikvoort, Anne H Berman, Elisabeth Tove Irving
article en

Abstract

Research in the mental health field has focused on exploration and implementation of digital interventions both in research and society. However, demographic and mental health factors that may influence engagement with research on such interventions have not been explored. This study aims to investigate the relationship between demographics, signs of mental disorders, and interest in participating in an intervention study. Using data collected in the Swedish arm of the World Health Organization’s World Mental Health International College Student (WHO-WMH-ICS) initiative (n = 9140), we conducted a multinomial logistic regression to assess relationships between these factors. Older age, as well as female and non-binary gender identities, were factors significantly associated with increased interest in the intervention study. Treatment flags, indicating fulfilment of criteria for possible mental disorder diagnosis, were significantly associated with clear interest (“yes” response) in intervention research for five of the 15 treatment flags: depression, general anxiety, social anxiety, panic disorder and self-harm. Possible interest (“maybe” response) was also indicated for four of these, excluding general anxiety. These findings may facilitate a better-informed approach to recruiting student participants for treatment research, enhancing unbiased recruitment practices, reducing treatment gaps, and increasing engagement in digital intervention studies for improved mental health.

BMC Research Notes
Uppsala University (SE), University of Calgary (CA), Malmö University (SE)
Gender equality
Openalex Percentile: Top 2%
Digital Mental Health Interventions
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