Evidence map›Paper›PMID 35044580›Full record

ArticleChild psychiatry and human development2023

Piloting Smartphone Digital Phenotyping to Understand Problematic Internet Use in an Adolescent and Young Adult Sample.

Meredith Gansner, Melanie Nisenson, Vanessa Lin, Nicholas Carson, John Torous

Abstract read
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In one paragraph

Article in Child psychiatry and human development, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. 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

5 authors.

Meredith GansnerDepartment of Psychiatry, Cambridge Health Alliance, 1493 Cambridge Street, Cambridge, MA, 02139, USA. meegansner@challiance.org.ORCID http://orcid.org/0000-0003-1235-4386
Melanie NisensonDepartment of Psychiatry, Cambridge Health Alliance, 1493 Cambridge Street, Cambridge, MA, 02139, USA.
Vanessa LinDepartment of Psychiatry, Cambridge Health Alliance, 1493 Cambridge Street, Cambridge, MA, 02139, USA.
Nicholas CarsonDepartment of Psychiatry, Cambridge Health Alliance, 1493 Cambridge Street, Cambridge, MA, 02139, USA.
John TorousDepartment of Digital Psychiatry, Beth Israel Deaconess Medical Center, 330 Brookline Drive, Boston, MA, 02215, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Problematic Internet use (PIU) preferentially affects youth development, particularly youth with psychiatric conditions. Studies attempting to understand PIU and its impact on adolescent mental health have been limited by cross-sectional design and self-report data. Even with a small sample size, digital phenotyping (DP) methodology can address these limitations through repeated sampling and collection of survey and sensor data through personal smartphones. This study pilots a 6-week DP protocol in 28 youth in mental health treatment in order to assess relationships between PIU, mood symptoms, and daily behaviors like smartphone engagement and daily travel in this high-risk population. Our results found shared associations between depression and PIU, where symptom severity of both worsened in the setting of decreased smartphone engagement. These clinically relevant findings indicate that, rather than uniformly worsening mental health, increased digital engagement may actually provide short-term relief from negative affect in youth with psychiatric comorbidities.

Indexed as

Behavior, AddictiveMental DisordersAdolescentCross-Sectional StudiesHumansInternet UseSmartphoneYoung AdultAdolescent psychiatryDigital mediaDigital phenotypingProblematic internet useSmartphone data

Identifiers

What OpenQuestion holds

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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.