ArticleDigital health
Smartphone apps for mental health and wellbeing: A usage survey and machine learning analysis of psychological and behavioral predictors.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mapping research on ICT addiction: a comprehensive review of Internet, smartphone, social media, and gaming addictions.Frontiers in psychology · 2025Pooled it
- Sociodemographic and clinical predictors of digital mental health intervention engagement among treatment-seeking psychiatric outpatients.Journal of affective disorders · 2026Trial
- Acceptability and Preliminary Evaluation of a Campus-Integrated Digital Platform (Fruto) for University Students' Mental Health Help-Seeking: Sequential Mixed Methods Study.Journal of medical Internet research · 2026Article
- Willingness to use video-game or gamified application-based interventions to improve or strengthen emotional regulation, mental health, and mental well-being.Internet interventions · 2026Article
- Psychological traits predict who uses self-help products but usage is not associated with two-year personality change.Scientific reports · 2026Article
- Demographic, social, psychological, mental health, and academic correlates of problematic smartphone use among French psychology students.Frontiers in digital health · 2026Article
- Perceived Digital Well-Being Scale in the United States and United Kingdom: Psychometric Validation Study.JMIR mental health · 2025Article
- Use of Online Tools for Mental Health Among Racially and Ethnically Diverse College Students: Mixed Methods Study.JMIR human factors · 2025Article
- Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.Stress and health : journal of the International Society for the Investigation of Stress · 2025Article
- Predictors of compulsive cyberporn use: A machine learning analysis.Addictive behaviors reports · 2024Article
- Knowledge, Attitudes, and Practices of Patients with Allergic Rhinitis Towards Allergen-Specific Immunotherapy.Patient preference and adherence · 2024Article
- Editorial: Mobile health application in addictive disorders therapy.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Despite the availability of thousands of mental health applications, the extent to which they are used and the factors associated with their use remain largely unknown. The present study aims to (a) assess in a representative US-based population sample the use of smartphone apps for mental health and wellbeing (SAMHW), (b) determine the variables predicting the use of SAMHW, and (c) explore how a set of variables related to mental health, smartphone use, and smartphone "addiction" may be associated with the use of SAMHW. Methods: Data was collected via online questionnaire from 1989 adults. The data gathered included information on smartphone use behavior, mental health, and the use of SAMHW. Latent class analysis was used to categorize participants. Machine learning and logistic regression analyses were used to determine the most important predictors of SAMHW use and associations between predictors and outcome variables. Results: While two-thirds of participants had a statistically high probability for using SAMHW, nearly twice more had high probability for using them to improve wellbeing compared to using them to address mental health problems (43% vs. 18%). In both groups, these participants were more likely to be female and in the younger adult age bracket than male and in the adult or older adult age bracket. According to the machine learning model, the most important predictors for using the relevant smartphone apps were variables associated with smartphone problematic use, COVID-19 impact, and mental health problems. Conclusion: Findings from the present study confirm that the use of SAMHW is growing, particularly among younger adult and female individuals who are negatively impacted by problematic smartphone use, COVID-19, and mental health problems. These individuals tend to bypass traditional care via psychotherapy or psychopharmacology, relying instead on smartphones to address mental health conditions or improve wellbeing. Advising users of these apps to also seek professional help and promoting efforts to prove the efficacy and safety of SAMHW would seem necessary.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.