Evidence map›Paper›PMID 30203118›Full record

ArticleJournal of abnormal child psychology2019

Adolescent Emotion Network Dynamics in Daily Life and Implications for Depression.

D M Lydon-Staley, M Xia, H W Mak, G M Fosco

Abstract read
In one paragraph

Article in Journal of abnormal child psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 50 citations in OpenAlex.

  1. The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  2. Tobacco withdrawal system recovery time assessed during smoking satiety predicts smoking behavior change among individuals who smoke cigarettes daily.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
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  8. Unsupervised Model Construction in Continuous-Time.Structural equation modeling : a multidisciplinary journal · 2025
    Article
  9. Article
  10. Article
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  13. Elevated emotion network connectivity is associated with fluctuations in depression.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. High- and Low-Arousal Daily Affect Dynamics Vary Across the Adult Lifespan.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    Article
  16. Article
  17. Exploring High vs. Low Burnout amongst Public Sector Educators: COVID-19 Antecedents and Profiles.International journal of environmental research and public health · 2022
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  18. Review
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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

4 authors at 1 institution in 1 country.

D M Lydon-StaleyDepartment of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA. dlsta@seas.upenn.edu.ORCID 0000-0001-8702-3923
M XiaDepartment of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA.
H W MakDepartment of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA.
G M FoscoDepartment of Human Development and Family Studies, The Pennsylvania State University, State College, PA, USA.
Pennsylvania State University · US

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
NIDA NIH HHS P50 DA039838NIDA NIH HHS T32 DA017629
6 · The paper itself

Abstract

Emotion network density describes the degree of interdependence among emotion states across time. Higher density is theorized to reflect rigidity in emotion functioning and has been associated with depression in adult samples. This paper extended research on emotion networks to adolescents and examined associations between emotion network density and: 1) emotion regulation and 2) symptoms of depression. Data from a daily diary study (t = 21 days) of adolescents (N = 151; 61.59% female; mean age = 14.60 years) were used to construct emotion network density scores. Emotion regulation was measured using The Difficulties in Emotion Regulation Scale Short Form (DERS-SF). Depression was measured using the Revised Child Anxiety and Depression Scale-Short Version (RCADS-SV). Associations between emotion network density and DERS-SF were examined through Pearson correlations. Multiple regression analyses examined associations between emotion network density and depression. Emotion network density was not associated with the DERS-SF. Follow-up analyses showed that it was positively associated with non-acceptance of emotions (a subscale of the DERS-SF). Emotion network density was positively associated with RCADS-SV depression. Non-acceptance of emotions may encourage the spread of emotion across time and states given that a feature of non-acceptance is to have secondary emotional responses to one's emotions. Emotion networks that are self-predictive may be a risk factor for adolescent depression.

Indexed as

AdolescentAffective SymptomsDepressionEmotional RegulationFemaleHumansMaleAdolescenceDepressionEmotion network densityEmotion regulationIntensive repeated measures

Identifiers

PMID30203118
PMCPMC6411453
OpenAlexW2890428880

What OpenQuestion holds

Textmetadata
LicenceTDM
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.