Evidence map›Paper›PMID 26974687›Full record

ArticlePsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2016

Progression of nicotine dependence, mood level, and mood variability in adolescent smokers.

Thomas M Piasecki, Donald Hedeker, Lisa C Dierker, Robin J Mermelstein

Open access · hybridAbstract read
In one paragraph

Article in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. The Mood Boost from Tobacco Cigarettes is More Erratic with the Additions of Cannabis and Alcohol.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  7. Article
  8. Review
  9. Shared Environmental Influences on Electronic Cigarette Use Among Adolescent and Young Adult Females.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  10. Article
  11. Article
  12. Affective and Situational Precipitants of Smoking Lapses Among Adolescents.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  13. Article
  14. Review
  15. Affect, craving, and cognition: An EMA study of ad libitum adolescent smoking.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
    Article
  16. Article
  17. Article
  18. 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

4 authors at 4 institutions in 1 country.

Thomas M PiaseckiDepartment of Psychological Sciences, University of Missouri.
Donald HedekerDepartment of Public Health Sciences, University of Chicago.
Lisa C DierkerDepartment of Psychology, Wesleyan University.
Robin J MermelsteinDepartment of Psychology, University of Illinois at Chicago.
Chicago Department of Public Health · USUniversity of Illinois Chicago · USUniversity of Missouri · USWesleyan University · US

Funding

Social-Emotional Contexts of Adolescent Smoking PatternsP01CA098262 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MERMELSTEIN, ROBIN J. · 2004 to 2014
$26.3M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COLLINS, LINDA M, LANZA, STEPHANIE T · 2015 to 2019
$13.9M
NCI NIH HHS P01 CA098262NIDA NIH HHS P50 DA039838
6 · The paper itself

Abstract

Mood processes are theorized to play a role in the initiation and progression of smoking behavior. Available work using real-time assessments in samples of young smokers, including several reports from the Social and Emotional Contexts of Adolescent Smoking Patterns (SECASP) study, has indicated that smoking events acutely improve mood and that escalating smoking frequency may stabilize mood. However, prior analyses have not specifically evaluated within-person change in nicotine dependence, which is conceptually distinguishable from frequent smoking and may be associated with unique mood consequences. The current investigation addressed this question using data from 329 adolescent SECASP participants (9th or 10th grade at recruitment) who contributed mood reports via ecological momentary assessment in up to four 1-week bursts over the course of 24 months. Mixed-effects location scale analyses revealed that within-person increases in scores on the Nicotine Dependence Syndrome Scale were associated with elevations in negative mood level and increased variability of both positive and negative moods. These effects remained when within-person changes in smoking frequency were covaried and were not fully attributable to a subgroup of youth who rapidly escalated their smoking frequency over time. The findings indicate that adolescents tend to show increasing levels of positive mood states, decreasing levels of negative mood, and diminishing mood variability between ages 16 to 18, but progression of nicotine dependence may counteract some of these developmental gains. Emergence of withdrawal symptoms is a likely explanation for the adverse mood effects associated with dependence progression. (PsycINFO Database Record

Indexed as

AffectEcological Momentary AssessmentAdolescentDisease ProgressionFemaleHumansMaleMood DisordersNicotineNicotinic AgonistsSmokingSubstance Withdrawal SyndromeTobacco Use DisorderNicotineNicotinic Agonists

Identifiers

PMID26974687
PMCPMC4914434
OpenAlexW2298099779

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.