Evidence map›Paper›PMID 34108893›Full record

ArticleFrontiers in psychiatry2021

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

Robert D Vlisides-Henry, Mengyu Gao, Leah Thomas, Parisa R Kaliush, Elisabeth Conradt, Sheila E Crowell

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Robert D Vlisides-HenryDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Mengyu GaoDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Leah ThomasDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Parisa R KaliushDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Elisabeth ConradtDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Sheila E CrowellDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.

Funding

Emotion dysregulation across generations: Identifying early developmental and clinical indicators of riskR01MH119070 · NIMH · UNIVERSITY OF UTAH · PI CONRADT, LIZ D, CROWELL, SHEILA E. · 2019 to 2023
$3.9M
NIMH NIH HHS R01 MH119070
6 · The paper itself

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.

Indexed as

adolescencedigital phenotypingemerging adulthoodemotion dysregulationlifespan transitionspassive monitoringperinatalpsychopathology risk

Identifiers

PMID34108893
PMCPMC8183608

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.