Evidence map›Paper›PMID 25259421›Full record

ArticleSubstance abuse2015

Trajectories of Marijuana Use Beginning in Adolescence Predict Tobacco Dependence in Adulthood.

Judith S Brook, Jung Yeon Lee, David W Brook

Open access · greenAbstract read
In one paragraph

Article in Substance abuse, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Triple trajectories of alcohol use, tobacco use, and depressive symptoms as predictors of cannabis use disorders among urban adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. National Surveys and Tobacco Use Among African Americans: A Review of Critical Factors.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
    Review
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

3 authors at 1 institution in 1 country.

Judith S Brooka Department of Psychiatry , New York University School of Medicine , New York , New York , USA.
Jung Yeon Leea Department of Psychiatry , New York University School of Medicine , New York , New York , USA.
David W Brooka Department of Psychiatry , New York University School of Medicine , New York , New York , USA.
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
TOBACCO USE AMONG MINORITY YOUTH: A LONGITUDINAL STUDYR01CA084063 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S · 2000 to 2011
$4.6M
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 084063NCI NIH HHS R01 CA084063NIDA NIH HHS DA000244NIDA NIH HHS DA005702NIDA NIH HHS K05 DA000244NIDA NIH HHS R01 DA005702
6 · The paper itself

Abstract

backgroundAlthough the "stage theory" suggests that marijuana use occurs after the initiation of tobacco smoking, substantial evidence exists that they often occur concurrently, and that the use of marijuana may influence the use of tobacco.

methodsThis study uses trajectory analysis to examine the relationship between marijuana use beginning in adolescence and adult tobacco dependence in a 5-wave longitudinal study (mean ages in each wave: 14, 19, 24, 29, and 32). The sample consisted of 816 participants (52% African Americans, 48% Puerto Ricans), of whom 60% were females. Logistic regression analyses were conducted to predict later tobacco dependence from earlier trajectories of marijuana use.

resultsA higher Bayesian posterior probability (BPP) for the chronic marijuana use trajectory group (odds ratio [OR]=10.93, P<.001; adjusted OR [AOR]=10.40, P<.001), for the increasing marijuana use trajectory group (OR=6.94, P<.001; AOR=6.73, P<.001), and for the moderate marijuana use trajectory group (OR=3.13, P<.001; AOR=3.18, P<.001) was associated with an increased likelihood of being dependent on tobacco compared with the BPP of the no or low marijuana use trajectory group.

conclusionsThe results underscore the value of considering multiple patterns of marijuana use within a person-centered approach. Thus, it would be appropriate for marijuana cessation programs to incorporate the prevention, assessment, and cessation of tobacco use in their health promotion strategies.

Indexed as

AdolescentAdolescent BehaviorAdultBayes TheoremFemaleHumansLongitudinal StudiesMaleMarijuana SmokingNew York CityTobacco Use DisorderYoung AdultLongitudinal studymarijuana use trajectorytobacco dependence

Identifiers

PMID25259421
PMCPMC4375087
OpenAlexW2001121518

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.