Evidence map›Paper›PMID 25208203›Full record

Observational studyJournal of studies on alcohol and drugs2014

Gender differences in the developmental risk of onset of alcohol, nicotine, and marijuana use and the effects of nicotine and marijuana use on alcohol outcomes.

Anne Buu, Agata Dabrowska, Marjorie Mygrants, Leon I Puttler, Jennifer M Jester, Robert A Zucker

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of studies on alcohol and drugs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.1field-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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Influence of parent-youth relationship, parental monitoring, and parent substance use on adolescent substance use onset.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Anne BuuAddiction Research Center and Substance Abuse Program, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Agata DabrowskaAddiction Research Center and Substance Abuse Program, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Marjorie MygrantsAddiction Research Center and Substance Abuse Program, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Leon I PuttlerAddiction Research Center and Substance Abuse Program, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Jennifer M JesterAddiction Research Center and Substance Abuse Program, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Robert A ZuckerAddiction Research Center and Substance Abuse Program, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
National Center on Addiction and Substance Abuse at Columbia University · USUniversity of Michigan–Ann Arbor · US

Funding

Family Study of Risk for Alcoholism Over the Life CourseR37AA007065 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZUCKER, ROBERT ALPERT · 2003 to 2012
$10.6M
New Statistical Methodology to Establish Construct Validity for Childhook RiskK01AA016591 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUU, YUH-PEY ANNE · 2009 to 2013
$762k
NIAAA NIH HHS K01 AA016591NIAAA NIH HHS R37 AA007065
6 · The paper itself

Abstract

objectiveThis study aimed to (a) characterize gender-specific risk of onset of alcohol, nicotine, and marijuana use developmentally; (b) investigate the effects of early-onset status and frequency of nicotine and marijuana use on alcohol outcomes, controlling for the effects of alcohol use; and (c) examine gender differences in the developmental trajectories of alcohol outcomes and the effects of nicotine and marijuana use on alcohol outcomes.

methodThis study conducted secondary analysis on a longitudinal study that recruited at-risk youth through fathers' drunk-driving records and door-to-door canvassing in the midwestern United States. The sample included 160 female-male sibling pairs who were assessed on substance use and Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, diagnosis from early childhood to young adulthood.

resultsAlthough males were at higher risk for being early-onset alcohol users, females tended to be at higher risk for initiating marijuana use at younger ages. When early onset and amount of alcohol use were controlled for, early onset of nicotine and marijuana use did not contribute to alcohol outcomes, but frequencies of nicotine and marijuana use did. We also found the associations of quantity/frequency of alcohol and marijuana use with drinking problems to be stronger among females than among males.

conclusionsHigher frequencies of nicotine and marijuana use may contribute to worse alcohol outcomes above and beyond the effect of alcohol use. Females tend to be at higher risk than males for initiating marijuana use and meeting an alcohol use disorder diagnosis at younger ages as well as being more vulnerable to a negative impact of alcohol and marijuana use.

Indexed as

Sex CharacteristicsAdolescentAlcohol DrinkingChildFemaleHumansLongitudinal StudiesMaleMarijuana SmokingProspective StudiesSmokingSurveys and QuestionnairesYoung Adult

Identifiers

PMID25208203
PMCPMC4161704
OpenAlexW2165517388

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.