Evidence map›Paper›PMID 32151894›Full record

ArticleAddictive behaviors2020

Emotion regulation dynamics predict substance use in high-risk adolescents.

Kevin McKee, Michael Russell, Jeremy Mennis, Michael Mason, Michael Neale

Abstract read
In one paragraph

Article in Addictive behaviors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Profiles of HIV-Related Knowledge and Self-Regulation Factors in At-Risk Pre-Adolescents.Children's health care : journal of the Association for the Care of Children's Health · 2025
    Article
  6. Article
  7. Multi-Level Protective Factors of Adolescent Smoking and Drinking.European journal of investigation in health, psychology and education · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

5 authors.

Kevin McKeeVirginia Commonwealth University, United States. Electronic address: mckeek@vcu.edu.
Michael RussellPenn State University, United States.
Jeremy MennisTemple University, United States.
Michael MasonUniversity of Tennessee Knoxville, United States.
Michael NealeVirginia Commonwealth University, United States.

Funding

Research Education in Statistical Genetics of Substance AbuseR25DA026119 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2008 to 2018
$3.2M
Social-spatial risk and protective mechanisms in urban adolescent substance useR01DA031724 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MASON, MICHAEL JON · 2012 to 2016
$2.9M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
NIDA NIH HHS R01 DA018673NIDA NIH HHS R01 DA031724NIDA NIH HHS R25 DA026119
6 · The paper itself

Abstract

Emotional factors such as stress and anxiety contribute to risk of substance use in adolescents. Descriptive measures of within-person affect variability are often used to predict morbidity, but indices derived from theoretical models may provide more interpretable alternatives. A continuous-time state-space model of emotion regulation as closed-loop feedback control was used to estimate the homeostatic tendency of affect in each of 94 adolescent participants. The resulting indices of emotion regulation were then compared to within-person affect sum score means and standard deviations in predicting total counts of nicotine, alcohol, and cannabis use. Model-based emotion regulation was significantly associated with lower frequencies of nicotine, alcohol, and cannabis use, while mean negative affect sum score was associated with higher frequencies. Model comparisons revealed that while model-based predictors and descriptive statistics explained similar amounts of variance in substance use, the explained variance proportions were independent between the approaches. The greatest predictive value was achieved by a combined model with both sets of affect indices. We conclude that theoretically defined and model-estimated individual characteristics may serve an important role in conceptualizing and predicting substance use behavior.

Indexed as

CannabisEmotional RegulationSubstance-Related DisordersAdolescentAnxiety DisordersEmotionsHumans

Identifiers

PMID32151894
PMCPMC7184768

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.