ArticlePsychological medicine2023
Predicting states of elevated negative affect in adolescents from smartphone sensors: a novel personalized machine learning approach.
Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02498925 (Examining Reward-Related Predictors and Mechanisms of Change in BA Treatment for Anhedonic Adolescents), which is not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Examining Reward-Related Predictors and Mechanisms of Change in BA Treatment for Anhedonic Adolescents
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Within-person association between affect and physical activity related to depressive symptomatology: A systematic review and methodological reflections.Applied psychology. Health and well-being · 2025Pooled it
- The daily association between affect and alcohol use: A meta-analysis of individual participant data.Psychological bulletinPooled it
- Trial
- Incremental Value of Smartphone Sensing for Monitoring Momentary Affect Intensity in Adults Using Transformer-Based Models: Observational Study.JMIR mHealth and uHealth · 2026Observational
- Ecological assessment of transdiagnostic clinical symptoms in serious mental illness with daily smartphone surveys.Translational psychiatry · 2026Article
- Low-Burden Detection of Clinical Worsening in Body Dysmorphic Disorder Using Smartphone Sensor and Demographic Data.Behavior therapy · 2026Observational
- Multimodal prediction of future depressive symptoms in adolescents.BMC psychiatry · 2025Article
- Affect dynamics in adolescent depression: Are all equilibria worth returning to?Emotion (Washington, D.C.) · 2025Article
- Multimodal Prediction of Future Depressive Symptoms in Adolescents.Research square · 2025Article
- Ecological Assessment of Transdiagnostic Clinical Symptoms in Serious Mental Illness with Daily Smartphone Surveys.medRxiv : the preprint server for health sciences · 2025Article
- Design and feasibility of smartphone-based digital phenotyping for long-term mental health monitoring in adolescents.PLOS digital health · 2025Article
- Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study.JMIR research protocols · 2025Article
- Links between self-monitoring data collected through smartphones and smartwatches and the individual disease trajectories of adult patients with depressive disorders: Study protocol of a one-year observational trial.Contemporary clinical trials communications · 2025Article
- Predicting the strength of next-day negative emotion states in body dysmorphic disorder using passive smartphone data: An intensive longitudinal assessment study.Internet interventions · 2025Article
- Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.Translational psychiatry · 2025Article
- Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.PLOS digital health · 2025Article
- Article
- Measuring activation during behavioral activation therapy: a proof-of-concept study using smartphone sensors and LLM-derived ratings in adolescents with anhedonia.NPP - digital psychiatry and neuroscience · 2025Article
- Within-Person Fluctuations in Objective Smartphone Use and Emotional Processes During Adolescence: An Intensive Longitudinal Study.Affective science · 2024Article
- Identifying factors impacting missingness within smartphone-based research: Implications for intensive longitudinal studies of adolescent suicidal thoughts and behaviors.Journal of psychopathology and clinical science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAdolescence is characterized by profound change, including increases in negative emotions. Approximately 84% of American adolescents own a smartphone, which can continuously and unobtrusively track variables potentially predictive of heightened negative emotions (e.g. activity levels, location, pattern of phone usage). The extent to which built-in smartphone sensors can reliably predict states of elevated negative affect in adolescents is an open question.
methodsAdolescent participants (
resultsA personalized ensemble machine learning model derived from smartphone sensor data outperformed other statistical approaches (e.g. linear mixed model) and predicted states of elevated anger and anxiety with acceptable discrimination ability (area under the curve (AUC) = 74% and 71%, respectively), but demonstrated more modest discrimination ability for predicting states of high sadness (AUC = 66%).
conclusionsTo the extent that smartphone data could provide reasonably accurate real-time predictions of states of high negative affect in teens, brief 'just-in-time' interventions could be immediately deployed via smartphone notifications or mental health apps to alleviate these states.
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What OpenQuestion holds
Registered trials
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.