ArticleFrontiers in psychiatry2021
Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk.
Article in Frontiers in psychiatry, 2021. 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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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review.Journal of medical Internet research · 2023Pooled it
- A multilevel meta-analysis of passive smartphone sensing of adolescent mental health.NPJ digital medicine · 2026Article
- Low-Burden Digital Phenotyping of Affective Risk: Positive Emoji Usage, Speech Rate, and Sleep Relate to College Student Mental Health.Research square · 2026Article
- Measuring emotion dysregulation in pregnancy using smartphone activity: a prospective research study in the United States.BMC pregnancy and childbirth · 2026Article
- Digital phenotyping of affect and stress in emerging adults.Frontiers in digital health · 2026Article
- The Effects of a Smartphone App (Feelee) to Enhance Adolescents' Emotion Regulation Skills in a Forensic Outpatient Setting: Protocol for a Multiple Single-Case Experimental Design.JMIR research protocols · 2025Article
- Between access and anxiety: the paradox of digital mental health literacy.Frontiers in psychiatry · 2025Article
- Using Active and Passive Smartphone Data to Enhance Adolescents' Emotional Awareness in Forensic Outpatient Setting: A Qualitative Feasibility and Usability Study.JMIR formative research · 2024Article
- A multilevel developmental psychopathology model of childbirth and the perinatal transition.Development and psychopathology · 2024Review
- Developmental trajectories of anger and sadness dysregulation in childhood differentially predict later borderline symptoms.Development and psychopathology · 2023Article
- Passive Sensing in the Prediction of Suicidal Thoughts and Behaviors: Protocol for a Systematic Review.JMIR research protocols · 2022Article
- Data sharing in the age of predictive psychiatry: an adolescent perspective.Evidence-based mental health · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Ethical and consensual digital phenotyping through smartphone activity (i. e., passive behavior monitoring) permits measurement of temporal risk trajectories unlike ever before. This data collection modality may be particularly well-suited for capturing emotion dysregulation, a transdiagnostic risk factor for psychopathology, across lifespan transitions. Adolescence, emerging adulthood, and perinatal transitions are particularly sensitive developmental periods, often marked by increased distress. These participant groups are typically assessed with laboratory-based methods that can be costly and burdensome. Passive monitoring presents a relatively cost-effective and unobtrusive way to gather rich and objective information about emotion dysregulation and risk behaviors. We first discuss key theoretically-driven concepts pertaining to emotion dysregulation and passive monitoring. We then identify variables that can be measured passively and hold promise for better understanding emotion dysregulation. For example, two strong markers of emotion dysregulation are sleep disturbance and problematic use of Internet/social media (i.e., use that prompts negative emotions/outcomes). Variables related to mobility are also potentially useful markers, though these variables should be tailored to fit unique features of each developmental stage. Finally, we offer our perspective on candidate digital variables that may prove useful for each developmental transition. Smartphone-based passive monitoring is a rigorous method that can elucidate psychopathology risk across human development. Nonetheless, its use requires researchers to weigh unique ethical considerations, examine relevant theory, and consider developmentally-specific lifespan features that may affect implementation.
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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.