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College student engagement with mental health apps: analysis of barriers to sustained use
Abstract
Objective: College students’demand for mental health resources is straining the services offered by colleges. While mobile apps demonstrate potential to help, students’ engagement with these apps remains low. This study examines why college students show poor engagement with mental health apps and how apps may be adapted to suit this population. Participants: Participants were a convenience sample of 100 college students. Methods: Qualitative data was gathered through individual online interviews concerningattitudes toward mental health apps, and quantitative data was gathered through a survey about phone and app use. Results: Students were interested in mental health apps. 53% haddownloaded an app at one point, but only 19% currently used a mental health app. Stress and costdrove mental health app choices. Responses around engagement centered on: Data privacy, user interface, credibility, and customization. Conclusions: Students have specific wants for mental health apps including safety, simplicity, credibility, and customizability.
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“if the tool is not used for a recommended period, it is unlikely that it will have the intended effect [17,18]”
From Optimization of a Transdiagnostic Mobile Emotion Regulation Intervention for University Students: Protocol for a Microrandomized Trial (2023) · cites this paper as [18]
In the citing paper
“The fit between their needs and the delivered content was indicated to be an especially important feature among university students [18]”
From Optimization of a Transdiagnostic Mobile Emotion Regulation Intervention for University Students: Protocol for a Microrandomized Trial (2023) · cites this paper as [18]
In the citing paper
“Creating a system that can suggest content relevant to its users has been indicated as a top priority for university students to engage and remain engaged in an MH app [18].”
From Optimization of a Transdiagnostic Mobile Emotion Regulation Intervention for University Students: Protocol for a Microrandomized Trial (2023) · cites this paper as [18]
Citations
Cites
null (2016) · Philosophy Study · doi:10.17265/2159-5313/2016.09.003 · Cited by 28,317
Objective user engagement with mental health apps: systematic search and panel-based usage analysis
Baumel, A., Muench, F., Edan, S., & Kane, J. M. (2019) · Journal of Medical Internet Research · doi:10.2196/14567 · Cited by 965
Lipson, S. K., Lattie, E. G., & Eisenberg, D. (2019) · Psychiatric Services · doi:10.1176/appi.ps.201800332 · Cited by 947
Mental Health and Academic Success in College
Eisenberg, D., Golberstein, E., & Hunt, J. B. (2009) · The B.E. Journal of Economic Analysis & Policy · doi:10.2202/1935-1682.2191 · Cited by 929
Torous, J., Nicholas, J., Larsen, M. E., Firth, J., & Christensen, H. (2018) · Evidence Based Mental Health · doi:10.1136/eb-2018-102891 · Cited by 790
Self-citationDuffy, M. E., Twenge, J. M., & Joiner, T. E. (2019) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.04.033 · Cited by 579
Torous, J., Lipschitz, J., Ng, M., & Firth, J. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.167 · Cited by 546
Self-citationTrends in college students’ mental health diagnoses and utilization of services, 2009–2015
Oswalt, S. B., Lederer, A. M., Chestnut-Steich, K., Day, C. R. T., Halbritter, A., & Ortiz, D. (2018) · Journal of American College Health · doi:10.1080/07448481.2018.1515748 · Cited by 531
Are we in crisis? National mental health and treatment trends in college counseling centers.
Xiao, H., Carney, D. M., Youn, S. J., Janis, R. A., Castonguay, L. G., Hayes, J. A., & Locke, B. D. (2017) · Psychological Services · doi:10.1037/ser0000130 · Cited by 493
Pratap, A., Neto, E. C., Snyder, P., Stepnowsky, C., Elhadad, N., Grant, D., Mohebbi, M. H., Mooney, S., Suver, C., Wilbanks, J., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0224-8 · Cited by 410
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Rathnayaka, P., Mills, N., Burnett, D., Silva, D. D., Alahakoon, D., & Gray, R. J. (2022) · Sensors · doi:10.3390/s22103653 · Cited by 169
Klimczak, K. S., San Miguel, G. G., Mukasa, M. N., Twohig, M. P., & Levin, M. E. (2023) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2023.2178498 · Cited by 88
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Catania, J., Beaver, S., Kamath, R. S., Worthington, E., Lu, M., Gandhi, H., Waters, H. C., & Malone, D. C. (2024) · JMIR Mental Health · doi:10.2196/57401 · Cited by 16
Shvetcov, A., Kupper, J. F., Zheng, W. Y., Slade, A., Han, J., Whitton, A. E., Spoelma, M. J., Hoon, L., Mouzakis, K., Vasa, R., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1422027 · Cited by 16
LaMontagne, L. G., Doty, J. L., Diehl, D. C., Nesbit, T. S., Gage, N. A., Kumbkarni, N., & Leon, S. P. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.09.014 · Cited by 13
Brennenstuhl, S., Agard, C., Ho, R., & Cleverley, K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0319473 · Cited by 21
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Laure, T., Remmerswaal, D., Konigorski, S., Engels, R. C. M. E., & Boffo, M. (2024) · Stress and Health · doi:10.1002/smi.3507 · Cited by 7
McCarthy, K., & Horwitz, A. G. (2025) · Journal of American College Health · doi:10.1080/07448481.2025.2458085 · Cited by 7
Laure, T., Boffo, M., Engels, R. C. M. E., & Remmerswaal, D. (2024) · Internet Interventions · doi:10.1016/j.invent.2024.100750 · Cited by 11
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Laure, T., Engels, R. C. M. E., Remmerswaal, D., Spruijt-Metz, D., Konigorski, S., & Boffo, M. (2023) · JMIR Research Protocols · doi:10.2196/46603 · Cited by 4
“…recommendation system introduces a potential solution to the low engagement and impact of the mobile intervention because efficiency, system responsiveness, and content relevance to users’needs are highly valued among this population and have been reported as lacking in available MH apps [18,49].”
BackgroundMethodInfluentialDigital Tools to Support Post‐Secondary Student Mental Health and Wellbeing
LaMonica, H. M., Hickie, I. B., Capon, W., Ahia, M., Ewing, L., Lee, W., Iorfino, F., Song, Y. J. C., McKenna, S., & Cleverley, K. (2025) · Early Intervention in Psychiatry · doi:10.1111/eip.70094 · Cited by 7
Herpertz, J., Dwyer, B., Wagner, E. S., Mikkelson, J., Opel, N., & Torous, J. B. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100888 · Cited by 6
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Jeong, N., Kim, E., & Chun, J. (2024) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2024.100842 · Cited by 4
Bear, H. A., Money, C., Watkins, E. R., & Fazel, M. S. (2025) · BJPsych Open · doi:10.1192/bjo.2025.48 · Cited by 4
Allen, A., Young, A. H., Jellesma, F. C., Vorobev, A., Ivanova, E., Babakov, N., Gisnarian, A., & Kannis‐Dymand, L. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121275 · Cited by 6
Zhou, X., Bambling, M., Bai, X., Smith, A. C., & Edirippulige, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1249093 · Cited by 4
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Langholm, C., Alon, N., Perret, S., & Torous, J. B. (2023) · Journal of Behavioral and Cognitive Therapy · doi:10.1016/j.jbct.2023.05.004 · Cited by 3
Self-citationLaure, T., Meija, C. V., Remmerswaal, D., Dulloo, D., der Hallen, R. V., Mayer, B., Littel, M., Dierckx, B., Legerstee, J. S., Engels, R. C. M. E., et al. (2025) · JMIR Formative Research · doi:10.2196/63325 · Cited by 2
Wang, A. Y., Vereschagin, M., Richardson, C. G., Munthali, R. J., Xie, H. W., Hudec, K. L., Mori, T., Munro, L., & Vigo, D. (2025) · International Journal of Mental Health Systems · doi:10.1186/s13033-025-00688-4 · Cited by 2
Polisetty, A., Chakraborty, D., Sowmya, G., Khorana, S., & Islam, N. (2025) · Systems Research and Behavioral Science · doi:10.1002/sres.3210 · Cited by 2
Woolverton, G. A., Zhao, C., Rastogi, R., Chang, A. R., Zhang, W., Lou, F., Yip, T., Liu, R. T., & Liu, C. H.-J. (2026) · Psychiatry Research · doi:10.1016/j.psychres.2026.117044 · Cited by 2
Haas, A. P., Laboe, A. A., McGinnis, C. G., Firebaugh, M., Shah, J., Bardone‐Cone, A. M., Pike, K. M., Taylor, C. B., Wilfley, D. E., & Fitzsimmons‐Craft, E. E. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1099718 · Cited by 2
Cohen, D. A., Boyer, B. P., Stevens, L., McCormick, K. A., Morpeth, E., Caporale-Berkowitz, N. A., Brownson, C. B., & Strakowski, S. M. (2023) · Journal of Technology in Human Services · doi:10.1080/15228835.2023.2258513 · Cited by 2
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Eylem-van Bergeijk, O., Robinson, T., Manktelow, M., Olympios, M., Poulter, S., Mane, P., Panagioti, M., Condell, J., & Leavey, G. (2025) · JMIR mHealth and uHealth · doi:10.2196/70691 · Cited by 2
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Horwitz, A. G., Anand, S., Chen, M., McCarthy, K., Schueller, S. M., Walton, M., Sen, S., & King, C. A. (2026) · Internet Interventions · doi:10.1016/j.invent.2026.100912 · Cited by 2
Martínez, R. S., García-Castillo, F., Sánchez, C. L., & del Castillo, J. A. G. (2026) · Edutec Revista Electrónica de Tecnología Educativa · doi:10.21556/edutec.2026.95.4409 · Cited by 2
Li, Z., Chang, Y., Jia, L., Yan, C., & Yan, Z. (2026) · Internet Research · doi:10.1108/intr-01-2024-0044 · Cited by 1
Jabs, M., Thompson, M., Linardon, J., Messer, M., & Wade, T. D. (2026) · Early Intervention in Psychiatry · doi:10.1111/eip.70207 · Cited by 1
Kreyenschulte, T., & Bohnet-Joschko, S. (2024) · Das Gesundheitswesen · doi:10.1055/a-2202-3289 · Cited by 1
Andino, A. A., Koehler, J. L., & Rahman, M. (2024) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-024-00396-9 · Cited by 1
Miller, M. J., Eberhart, L. G., Heliste, J. L., & Tripuraneni, B. R. (2024) · JMIR Formative Research · doi:10.2196/59831 · Cited by 1
ale undergraduate students’ perceptions of male student mental health
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Peprah, E. K., Amesimeku, E., Angulo, B., Chhetri, H., Fordjuoh, J., Ruan, C., Wang, C., Patena, J. V., Vieira, D. L., Ryan, N., et al. (2024) · JMIR Formative Research · doi:10.2196/51292
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Leuzzi, G., Job, M., Scafoglieri, A., & Testa, M. (2024) · doi:10.2196/preprints.64629
Jacoba, G. L. B., & Ferrer, B. P. (2025) · AIP conference proceedings · doi:10.1063/5.0262217
Pickering, I., Law, M., Loveys, K., Sagar, M. A., Skoluda, N., Nater, U. M., & Broadbent, E. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti9040034
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Tavallaei, F. (2025) · Sustainable development · doi:10.5772/intechopen.1011670
Nogueira-Leite, D., Marques-Cruz, M., & Cruz-Correia, R. J. (2024) · Figshare · doi:10.6084/m9.figshare.26708624
Nogueira-Leite, D., Marques-Cruz, M., & Cruz-Correia, R. J. (2024) · Figshare · doi:10.6084/m9.figshare.26708633
Nogueira-Leite, D., Marques-Cruz, M., & Cruz-Correia, R. J. (2024) · Figshare · doi:10.6084/m9.figshare.26708627
Nogueira-Leite, D., Marques-Cruz, M., & Cruz-Correia, R. J. (2024) · Figshare · doi:10.6084/m9.figshare.26708630
Nogueira-Leite, D., Marques-Cruz, M., & Cruz-Correia, R. J. (2024) · Figshare · doi:10.6084/m9.figshare.26708621
Nogueira-Leite, D., Marques-Cruz, M., & Cruz-Correia, R. J. (2024) · Figshare · doi:10.6084/m9.figshare.26708636
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Metadata
- Authors
- Melcher, J., Camacho, E., Lagan, S., & Torous, J.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Torous, John
- Venue
- Journal of American College Health
- Publisher
- Informa UK Limited
- Published
- 2020-10-13
- Volume
- 70
- Issue
- 6
- Pages
- 1819-1825
- ISSN
- 0164-4300 (ISSN-L)
- 0744-8481
- 1940-3208
- OpenAlex
- W3092511221
- Cited by
- 106
- References
- 30
- Citations by year
- 2026: 15 · 2025: 21 · 2024: 29 · 2023: 19 · 2022: 17 · 2021: 4
- FWCI
- 9.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of American College Health (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Keywords
- mental health apps, university students, app engagement, data privacy, user interface, credibility, customization, student stress, mobile mental health
- MeSH terms
- Humans, Mental Health, Surveys and Questionnaires, Students, Universities, Mobile Applications
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