ArticleBMC research notes2026
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.
Article in BMC research notes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
objectiveResearch 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.
resultsOlder 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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