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Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk.

Journal articles  - Journal Article
Vlisides-Henry, RD; Gao, M; Thomas, L; Kaliush, PR; Conradt, E; Crowell, SE
Published in: Front Psychiatry
2021

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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Published In

Front Psychiatry

DOI

ISSN

1664-0640

Publication Date

2021

Volume

12

Start / End Page

618442

Location

Switzerland

Related Subject Headings

  • 3202 Clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Vlisides-Henry, R. D., Gao, M., Thomas, L., Kaliush, P. R., Conradt, E., & Crowell, S. E. (2021). Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk. Front Psychiatry, 12, 618442. https://doi.org/10.3389/fpsyt.2021.618442
Vlisides-Henry, Robert D., Mengyu Gao, Leah Thomas, Parisa R. Kaliush, Elisabeth Conradt, and Sheila E. Crowell. “Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk.Front Psychiatry 12 (2021): 618442. https://doi.org/10.3389/fpsyt.2021.618442.
Vlisides-Henry RD, Gao M, Thomas L, Kaliush PR, Conradt E, Crowell SE. Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk. Front Psychiatry. 2021;12:618442.
Vlisides-Henry, Robert D., et al. “Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk.Front Psychiatry, vol. 12, 2021, p. 618442. Pubmed, doi:10.3389/fpsyt.2021.618442.
Vlisides-Henry RD, Gao M, Thomas L, Kaliush PR, Conradt E, Crowell SE. Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk. Front Psychiatry. 2021;12:618442.

Published In

Front Psychiatry

DOI

ISSN

1664-0640

Publication Date

2021

Volume

12

Start / End Page

618442

Location

Switzerland

Related Subject Headings

  • 3202 Clinical sciences