Evidence map›Paper›PMID 38149299›Full record

ArticleClinical psychological science : a journal of the Association for Psychological Science2023

Adolescent Social Communication Through Smartphones: Linguistic Features of Internalizing Symptoms and Daily Mood.

Elizabeth A McNeilly, Kathryn L Mills, Lauren E Kahn, Ryann Crowley, Jennifer H Pfeifer, Nicholas B Allen

Abstract read
In one paragraph

Article in Clinical psychological science : a journal of the Association for Psychological Science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  19. Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication.Journal of child psychology and psychiatry, and allied disciplines · 2024
    Article
  20. Article
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.

Elizabeth A McNeillyDepartment of Psychology, University of Oregon, Eugene, USA.
Kathryn L MillsDepartment of Psychology, University of Oregon, Eugene, USA.
Lauren E KahnDepartment of Psychology, University of Oregon, Eugene, USA.
Ryann CrowleyDepartment of Psychology, University of Oregon, Eugene, USA.
Jennifer H PfeiferDepartment of Psychology, University of Oregon, Eugene, USA.
Nicholas B AllenDepartment of Psychology, University of Oregon, Eugene, USA.

Funding

A prospective longitudinal study of transactional associations between social, neural, and hormonal changes and adolescent girls' mental health trajectoriesR01MH127408 · NIMH · UNIVERSITY OF OREGON · PI Jennifer Hope Pfeifer · 2022 to 2026
$3.5M
Puberty, neural systems for social processes, and early adolescent mental health: A longitudinal neuroimaging studyR01MH107418 · NIMH · UNIVERSITY OF OREGON · PI PFEIFER, JENNIFER HOPE · 2015 to 2019
$3.0M
Social connection and mental health in girls: A prospective longitudinal study across adolescenceR56MH107418 · NIMH · UNIVERSITY OF OREGON · PI PFEIFER, JENNIFER HOPE · 2021 to 2021
$728k
NIMH NIH HHS R01 MH107418NIMH NIH HHS R01 MH127408NIMH NIH HHS R56 MH107418
6 · The paper itself

Abstract

The increasing use of smartphone technology by adolescents has led to unprecedented opportunities to identify early indicators of shifting mental health. This intensive longitudinal study examined the extent to which differences in mental health and daily mood are associated with digital social communication in adolescence. In a sample of 30 adolescents (ages 11-15 years), we analyzed 22,152 messages from social media, email, and texting across one month. Lower daily mood was associated with linguistic features reflecting self-focus and reduced temporal distance. Adolescents with lower daily mood tended to send fewer positive emotion words on a daily basis, and more total words on low mood days. Adolescents with lower daily mood and higher depression symptoms tended to use more future focus words. Dynamic linguistic features of digital social communication that relate to changes in mental states may represent a novel target for passive detection of risk and early intervention in adolescence.

Indexed as

adolescentsinternalizinglinguisticsmoodsmartphonessocial

Identifiers

PMID38149299
PMCPMC10750975

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.