Evidence map›Paper›PMID 24997307›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2014

Trajectories of cigarette smoking from adolescence to adulthood as predictors of unemployment status.

Judith S Brook, Chenshu Zhang, Lindsay Burke, David W Brook

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Association Between Unemployment and Mental Disorders: A Narrative Update of the Literature.International journal of environmental research and public health · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Discontinuous Patterns of Cigarette Smoking From Ages 18 to 50 in the United States: A Repeated-Measures Latent Class Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
    Article
  15. 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 1 institution in 1 country.

Judith S BrookDepartment of Psychiatry, New York University School of Medicine, New York, NY judith.brook@nyumc.org.
Chenshu ZhangDepartment of Psychiatry, New York University School of Medicine, New York, NY.
Lindsay BurkeDepartment of Psychiatry, New York University School of Medicine, New York, NY.
David W BrookDepartment of Psychiatry, New York University School of Medicine, New York, NY.
New York University · US

Funding

DRUG USE AND PROBLEM BEHAVIORS IN MINORITY YOUTHR01DA005702 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S, PAHL, KERSTIN · 1989 to 2014
$5.8M
Childhood Predictors and Consequences of Adult SmokingR01CA094845 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S · 2003 to 2008
$3.0M
Etiology and Consequences of Adolescent Drug Use(K05)K05DA000244 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S · 1995 to 2009
$1.3M
NCI NIH HHS CA 094845NCI NIH HHS R01 CA094845NIDA NIH HHS DA000244NIDA NIH HHS DA005702NIDA NIH HHS K05 DA000244NIDA NIH HHS R01 DA005702
6 · The paper itself

Abstract

introductionThis longitudinal study examined the association between trajectories of cigarette smoking and unemployment across a 29-year time period from mean age 14 to mean age 43.

methodsParticipants came from a community-based random sample of residents in 2 upstate New York counties. Data were collected at 7 timepoints.

resultsUsing growth mixture modeling, 5 trajectory groups of cigarette smokers were identified. The trajectory groups were as follows: heavy/continuous smokers, occasional smokers, late-starting smokers, quitters/decreasers, and nonsmokers. Multivariate logistic regression analysis was used to study the relationship between the participant's trajectory group membership and unemployment in the fifth decade of life. The association was determined with controls for age, gender, current cigarette use, current alcohol use, current marijuana use, physical diseases, occupation, educational level, past unemployment experience, socioeconomic status measures of family of origin, depressive mood, and self-control from adolescence through the early 40s. The findings indicate that patterns of adolescent and young adult cigarette smoking have implications for later unemployment. Overall, the results showed that people who fell into the categories of heavy/continuous smokers (adjusted odds ratio [AOR] = 3.84) and occasional smokers (AOR = 4.03) were more likely to be unemployed at mean age 43 when compared with nonsmokers. There was no significant difference between the quitters/decreasers and the nonsmokers with respect to unemployment.

conclusionsIntervention programs designed to deal with unemployment should consider focusing on heavy/continuous and occasional cigarette smokers as risk factors for unemployment.

Indexed as

AdolescentAdultAlcohol DrinkingFemaleFollow-Up StudiesForecastingHumansLongitudinal StudiesMaleMarijuana SmokingMiddle AgedRisk FactorsSmokingUnemploymentYoung Adult

Identifiers

PMID24997307
PMCPMC4296183
OpenAlexW2140950107

What OpenQuestion holds

Textmetadata
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.