Select Publications
Preprints
2024, Applications of Large Language Models in the Field of Suicide Prevention: A Scoping Review (Preprint), http://dx.doi.org/10.2196/preprints.63126
,2024, Recruiting young people for digital mental health trials: lessons learned (Preprint), http://dx.doi.org/10.2196/preprints.60413
,2024, BrighterSide: A randomised controlled trial of a self-guided app for suicidal ideation (Preprint), http://dx.doi.org/10.2196/preprints.55528
,2023, Passive sensing data predicts stress in university students: A supervised machine learning method for digital phenotyping, http://dx.doi.org/10.1101/2023.07.29.23293375
,2023, The Effects of Internet-Based Cognitive Behavioral Therapy for Suicidal Ideation or Behaviors on Depression, Anxiety, and Hopelessness in Individuals With Suicidal Ideation: Systematic Review and Meta-Analysis of Individual Participant Data (Preprint), http://dx.doi.org/10.2196/preprints.46771
,2023, Selective Prevention of Depression in Workers Using a Smartphone App: Randomized Controlled Trial (Preprint), http://dx.doi.org/10.2196/preprints.45963
,2023, Recognising the ‘anxiogenic’ environment as a key driver of youth anxiety, http://dx.doi.org/10.31234/osf.io/jxg2t
,2022, Associations Between Smartphone Keystroke Metadata and Mental Health Symptoms in Adolescents: Findings From the Future Proofing Study (Preprint), http://dx.doi.org/10.2196/preprints.44986
,2022, Machine learning identifies a COVID-19-specific phenotype in university students using a mental health app, http://dx.doi.org/10.1101/2022.12.07.22283234
,2022, Implementing a Digital Depression Prevention Program in Australian Secondary Schools: Cross-Sectional Qualitative Study (Preprint), http://dx.doi.org/10.2196/preprints.42349
,2022, Effectiveness of self-guided tailored implementation strategies in integrating and embedding Internet-based Cognitive Behavioural Therapy in routine mental health care. Results of the ImpleMentAll project. (Preprint), http://dx.doi.org/10.2196/preprints.41532
,2022, Resilience To Suicidal Behaviour In Young Adults: A Cross-Sectional Study, http://dx.doi.org/10.21203/rs.3.rs-1233434/v1
,2022, Omega-3 supplements in the prevention and treatment of youth depression and anxiety: A scoping review, http://dx.doi.org/10.1101/2022.06.26.22276840
,2022, Protocol for a bandit-based response adaptive trial to evaluate the effectiveness of brief self-guided digital interventions for reducing psychological distress in university students: The Vibe Up Study, http://dx.doi.org/10.1101/2022.12.05.22283129
,2022, The Future Proofing Study: Design, Methods and Baseline Characteristics of a Prospective Cohort Study of the Mental Health of Australian Adolescents, http://dx.doi.org/10.31234/osf.io/x6vdj
,2021, Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study (Preprint), http://dx.doi.org/10.2196/preprints.35549
,2021, The Essential Network (TEN): Protocol for an Implementation Study of a Digital-First Mental Health Solution for Australian Health Care Workers During COVID-19 (Preprint), http://dx.doi.org/10.2196/preprints.34601
,2021, The Upside: Coping and Psychological Resilience in Australian Adolescents During the COVID-19 Pandemic, http://dx.doi.org/10.21203/rs.3.rs-820688/v1
,2020, Protocol for the Process Evaluation of a Complex Intervention Delivered in Schools to Prevent Adolescent Depression: The Future Proofing Study, http://dx.doi.org/10.21203/rs.3.rs-35217/v1
,2020, The impact of COVID-19 on the lives and mental health of Australian adolescents, http://dx.doi.org/10.1101/2020.09.07.20190124
,2018, The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content, http://dx.doi.org/10.48550/arxiv.1811.02750
,2018, Using mobile phone sensor technology for mental health research: Integrated analysis to identify hidden challenges and potential solutions, http://dx.doi.org/10.48550/arxiv.1805.09158
,2017, Validation of a smartphone app to map social networks of proximity, http://dx.doi.org/10.48550/arxiv.1706.08777
,2017, Smartphone app to investigate the relationship between social connectivity and mental health, http://dx.doi.org/10.48550/arxiv.1702.02644
,2015, Using Bluetooth Low Energy in smartphones to map social networks, http://dx.doi.org/10.48550/arxiv.1508.03938
,The Effects of a Sleep-Focused Smartphone Application on Insomnia and Depressive Symptoms: A Randomised Controlled Trial and Mediation Analysis, http://dx.doi.org/10.2139/ssrn.4200346
,Use of Smartphone Sensor Data in Detecting and Predicting Depression and Anxiety in Young People (12-25 Years): A Scoping Review, http://dx.doi.org/10.2139/ssrn.4798261
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