Evidence map›Paper›PMID 30148405›Full record

ArticleExperimental and clinical psychopharmacology2018

Predictors of tobacco and alcohol co-use from ages 15 to 32: The Amsterdam Growth and Health Longitudinal Study.

Sterling M McPherson, Ekaterina Burduli, Crystal Lederhos Smith, Olivia Brooks, Michael F Orr, Celestina Barbosa-Leiker, Trynke Hoekstra, Michael G McDonell, Sean M Murphy, Matthew Layton and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 2 institutions in 3 countries.

Sterling M McPhersonProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.ORCID 0000-0003-2551-4772
Ekaterina BurduliProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.
Crystal Lederhos SmithProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.ORCID 0000-0002-5095-2822
Olivia BrooksProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.
Michael F OrrProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.
Celestina Barbosa-LeikerProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.
Trynke HoekstraDepartment of Health Sciences, Faculty of Earth & Life Sciences, Vrije Universiteit Amsterdam.ORCID 0000-0002-0535-0056
Michael G McDonellProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.
Sean M MurphyProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.ORCID 0000-0001-9104-0670
Matthew LaytonProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.
John M RollProgram of Excellence in Addictions Research, Elson S. Floyd College of Medicine, and Translational Addictions Research Center, Washington State University.
Institute for Research, Education and Training in Addictions · USDepartment of Health · ZA

Funding

Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Benjamin P. Linas · 2015 to 2026
$20.7M
Research Training/ Education CoreP20MD006871 · NIMHD · WASHINGTON STATE UNIVERSITY · PI BUCHWALD, DEDRA S, PAUL, ROBERTA LYNN · 2012 to 2016
$5.5M
Department of JusticeLife Science Discovery FundNIDA NIH HHS L30 DA038339NIDA NIH HHS P30 DA040500NIMHD NIH HHS P20 MD006871
6 · The paper itself

Abstract

Tobacco and alcohol are often used in tandem over time, but specific predictors of course and patterns of course over time need explication. We examined differences in alcohol and tobacco course among an adolescent population as they transitioned into young adulthood across a 17-year period. Data came from participants (n = 303 for ages 15-21, n = 196 for ages 21 to 32; 52% female and 54% female, respectively) enrolled in the Amsterdam Growth and Health Longitudinal Study, an epidemiologic investigation examining disease across the life span. We utilized parallel latent growth modeling to assess the impact of sex, personality traits, cholesterol, blood pressure, and body mass index (BMI), on initial status and linear change over time in course of tobacco and alcohol. Females reported less alcohol use at adolescent baseline (β = -21.79), less increase during adolescence (β = -7.92, p < .05), slower decrease during young adulthood (β = 4.67, p < .05), and more rapid decline in tobacco use during young adulthood (β = -70.85, p < .05), relative to males. Alcohol and tobacco use baseline status' and change over time were all significantly associated with one another during both adolescence and young adulthood (p < .05; aside from alcohol baseline and slope during young adulthood). Effects of BMI, cholesterol, blood pressure, and personality traits were also observed on tobacco and alcohol course. In light of the strong, but sex dependent relationship between alcohol and tobacco course, particularly from ages 15 to 21, prevention efforts to curb heavy alcohol and tobacco use should consider targeting course taking into account biological sex and other notable covariates. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Indexed as

AdolescentAdultAlcohol DrinkingBody Mass IndexFemaleHumansLongitudinal StudiesMaleNetherlandsTobacco UseYoung Adult

Identifiers

PMID30148405
PMCPMC6946685
OpenAlexW2889425437

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.