Evidence map›Paper›PMID 42315803›Full record

ArticleResearch on child and adolescent psychopathology2026

Feasibility and Acceptability of a Smartphone and Wearable Assessment Protocol for Adolescents with Depression.

Jenny Guo, Jennifer Frederick, Lindsey Cunningham, Nicholas C Jacobson, Aaron J Fisher, Jeremy W Pettit, Dana L McMakin, Mei Yi Ng

Abstract read
In one paragraph

Article in Research on child and adolescent psychopathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jenny GuoDepartment of Psychology and Center for Children and Families, Florida International University, Miami, FL, USA. jguo033@fiu.edu.ORCID http://orcid.org/0000-0002-3535-5181
Jennifer FrederickDepartment of Psychology and Center for Children and Families, Florida International University, Miami, FL, USA.ORCID http://orcid.org/0000-0001-9411-4284
Lindsey CunninghamDepartment of Psychology and Center for Children and Families, Florida International University, Miami, FL, USA.ORCID http://orcid.org/0000-0003-4700-5231
Nicholas C JacobsonCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.ORCID http://orcid.org/0000-0002-8832-4741
Aaron J FisherDepartment of Psychology, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-9754-4618
Jeremy W PettitDepartment of Psychology and Center for Children and Families, Florida International University, Miami, FL, USA.ORCID http://orcid.org/0000-0002-7426-9411
Dana L McMakinDepartment of Psychology and Center for Children and Families, Florida International University, Miami, FL, USA.ORCID http://orcid.org/0000-0002-6954-4204
Mei Yi NgDepartment of Psychology and Center for Children and Families, Florida International University, Miami, FL, USA.ORCID http://orcid.org/0000-0002-1399-0133

Funding

Identifying Person-Specific Drivers of Adolescent Depression via Idiographic Network Modeling of Active and Passive Smartphone DataR21MH126394 · NIMH · FLORIDA INTERNATIONAL UNIVERSITY · PI NG, MEI YI · 2021 to 2022
$422k
NIMH NIH HHS R21 MH126394NIMH NIH HHS R21MH126394
6 · The paper itself

Abstract

Smartphones and wearables are low-burden tools for assessing real-time mood and behavior. Although these methods have been used with adolescents for behavioral tracking (e.g., activity, sleep), less is known about longer-term use (beyond one week) with adolescents with depression and about mobile sensing for monitoring mood for any adolescent population. This study examined acceptability and feasibility of a one-month EMA, actigraphy, and mobile sensing protocol for adolescents with elevated depressive symptoms. Adolescents aged 12 to 18 (N = 69; Mage = 15.46; 67% assigned female at birth; 42% White; 71% Hispanic or Latine; 38% sexual minority) completed EMA surveys on depressive symptoms, processes, and affect multiple times daily via a smartphone app that also collected passive sensor data (e.g., motion, geolocation). An actigraph measured physical activity and sleep. A feedback interview assessed protocol acceptability. Most participants (91%) completed all components, were willing to participate again (91%), and would recommend participation to peers (93%). EMA response rates improved (mean completion 57% to 66%) after shifting to a semi-personalized schedule with extended response windows. Actigraph wear time was high (> 70%) despite device-related issues. Sensor data availability varied by operating system, and privacy concerns influenced participation. Adherence was correlated within and between modalities, suggesting that individual compliance played a central role in consistent engagement. Findings support the feasibility and acceptability of smartphone and wearable methods for capturing real-world mood and behavior in adolescents, however careful attention to design, engagement, and ethical considerations remains essential.

Indexed as

ActigraphyDepressionEcological Momentary AssessmentMobile ApplicationsPatient Acceptance of Health CareSmartphoneWearable Electronic DevicesAdolescentChildDigital HealthFeasibility StudiesFemaleHumansMaleSleepActigraphyDepressive disorderEcological momentary assessmentFeasibility studyMobile sensingSmartphone

Identifiers

PMID42315803
PMCPMC13279485

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.