Evidence map›Paper›PMID 28345169›Full record

ArticleAddiction (Abingdon, England)2017

Alcohol use from adolescence through early adulthood: an assessment of measurement invariance by age and gender.

Jessica N Fish, Amanda M Pollitt, John E Schulenberg, Stephen T Russell

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2017. 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
–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

9 citing papers in PubMed.

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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.

Jessica N FishPopulation Research Center, University of Texas at Austin, Austin, TX, USA.
Amanda M PollittNorton School of Family and Consumer Sciences, The University of Arizona, Tucson, AZ, USA.
John E SchulenbergInstitute for Social Research and Department of Psychology, University of Michigan, Ann Arbor, MI, USA.
Stephen T RussellHuman Development and Family Sciences, University of Texas at Austin, Austin, TX, USA.

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI HAYWARD, MARK D. · 2002 to 2016
$8.4M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
Adolescent Precursors to Financial Stress and Alcohol Abuse in Young AdulthoodR01AA020270 · NIAAA · UNIVERSITY OF ARIZONA · PI RUSSELL, STEPHEN T · 2011 to 2014
$855k
Sexual Minority Youth Alcohol Use: Risk and Protective FactorsF32AA023138 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI FISH, JESSICA N. · 2015 to 2017
$162k
NIAAA NIH HHS F32 AA023138NIAAA NIH HHS R01 AA020270NICHD NIH HHS P01 HD031921NICHD NIH HHS P2C HD042849NICHD NIH HHS R24 HD042849NIDA NIH HHS R01 DA001411NIDA NIH HHS R01 DA016575
6 · The paper itself

Abstract

BACKGROUND AND

aimsStudies on alcohol use and related constructs rarely test for measurement invariance to assess the reliability and validity of measures of alcohol use across different subpopulations of interest or ages. This failure to consider measurement invariance may result in biased parameter estimates and inferences. This study aimed to test measurement invariance of alcohol use across gender and age using a US nationally representative sample to inform future longitudinal studies assessing alcohol use.

designThe National Longitudinal Study of Adolescent to Adult Health, a school-based, nationally representative longitudinal study conducted in 1994-95, 2001-02 and 2008.

settingAll regions within the United States; participants were selected via a clustered sample design from 80 high schools that represented the national population.

participantsYouth and young adults aged 13-31 years who had valid data on all three alcohol items within wave: 18 923 from wave 1; 14 315 from wave 3; and 14 785 from wave 4. MEASUREMENTS: Alcohol use measurement models were constructed using past-year general drinking frequency, heavy episodic drinking frequency and average quantity when drinking. Configural (factor structure), metric (factor loadings) and scalar (item intercepts) measurement invariance models were tested by gender and for each year of age from 13 to 31 years.

findingsAll models passed the threshold for configural invariance. Comparisons between males and females demonstrated metric (and usually scalar) non-invariance for most ages beyond middle adolescence. Nearly all 1- and 2-year contrasts passed metric invariance. Scalar non-invariance was most prevalent in age comparisons between late adolescence and early adulthood, particularly for tests using 2-year age increments.

conclusionsStudies that do not account for the effects of gender and age on the measurement of alcohol use may be statistically biased.

Indexed as

AdolescentAdultAge DistributionAlcohol DrinkingCluster AnalysisFemaleHumansLongitudinal StudiesMalePsychometricsReproducibility of ResultsSex DistributionSurveys and QuestionnairesUnderage DrinkingUnited StatesYoung AdultAlcohol usedevelopmentlatent variable modelinglongitudinalmeasurement invariancemethods

Identifiers

PMID28345169
PMCPMC5503754

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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.