Evidence map›Paper›PMID 29366819›Full record

ArticlePreventive medicine2018

Thirty-day smoking in adolescence is a strong predictor of smoking in young adulthood.

Lauren M Dutra, Stanton A Glantz

Abstract read
In one paragraph

Article in Preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Evolution of indicators related to experimentation and use of tobacco products among Brazilian adolescents.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Clustering of South Korean Adolescents' Health-Related Behaviors by Gender: Using a Latent Class Analysis.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Electronic Cigarette Use and Smoking Initiation in Taiwan: Evidence from the First Prospective Study in Asia.International journal of environmental research and public health · 2019
    Article
  17. A new measure of youth cigarette smoking.Preventive medicine reports · 2018
    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

2 authors.

Lauren M DutraRTI International, 2150 Shattuck Avenue, Suite 800, Berkeley, CA 94704, USA. Electronic address: ldutra@rti.org.
Stanton A GlantzCenter for Tobacco Control Research and Education, University of California, San Francisco, 530 Parnassus Avenue, Suite 366, San Francisco, CA 94143-1390, USA; Department of Medicine, University of California, San Francisco, 530 Parnassus Avenue, Suite 366, San Francisco, CA 94143-1390, USA.

Funding

Effect of Tobacco Advocacy at the State LevelR01DA043950 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI APOLLONIO, DOROTHY ELINOR · 2016 to 2020
$2.6M
NIDA NIH HHS R01 DA043950
6 · The paper itself

Abstract

Thirty-day smoking, although a widely used measure of adolescent smoking (age 12-16), has been questioned as an accurate measure of young adult (age 26-30) smoking behavior, particularly when critiquing studies linking use of e-cigarettes with subsequent cigarette smoking. We used logistic regression to test two measures of 30-day adolescent smoking as predictors of young adult smoking in the National Longitudinal Survey of Youth 1997. Adjusting for psychosocial covariates, compared to those who smoked zero days in the past 30 days in adolescence, odds of any past-30-day smoking in young adulthood ranged from 2.85 (95% CI: 1.85-4.37) for those who smoked 1 day to 4.81 (3.50-6.59) for those who smoked daily as adolescents, and adjusted odds of daily smoking in young adulthood ranged from 1.99 (1.24-3.18) to 4.69 (3.42-6.43). Compared with adolescent never smokers, adjusted odds of any past-30-day smoking in young adulthood among adolescent former smokers was 2.11 (1.77-2.53), and among adolescent current smokers, ranged from 3.03 (2.22-4.14) for those who smoked 1-5 cigarettes per month to 8.19 (5.80-11.55) for those who smoked daily. Adjusted odds of daily smoking in young adulthood were 2.49 (2.12-2.91) for adolescent former smokers and, among adolescent current smokers, ranged from 2.54 (1.92-3.37) for those who smoked 1-5 cigarettes per month to 8.65 (6.06-12.35) for those who smoked daily. There is a strong dose-response relationship between 30-day smoking in adolescence-even a single day in the month-and 30-day and daily smoking in young adulthood.

Indexed as

AdolescentAdultChildCigarette SmokingHumansLongitudinal StudiesMaleSmokersTime FactorsAdolescentSmokingTobaccoYoung adult

Identifiers

PMID29366819
PMCPMC5922790

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.