Evidence map›Paper›PMID 23931737›Full record

ArticleAlcoholism, clinical and experimental research2014

Racial differences in type of alcoholic beverage consumed during adolescence in the Pittsburgh Girls Study.

Tammy Chung, Sarah L Pedersen, Kevin H Kim, Alison E Hipwell, Stephanie D Stepp

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 2 institutions in 1 country.

Tammy ChungWestern Psychiatric Institute and Clinic , University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Sarah L Pedersen
Kevin H Kim
Alison E Hipwell
Stephanie D Stepp
University of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

The Development of Conduct Disorder in GirlsR01MH056630 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOEBER, ROLF · 1998 to 2012
$18.9M
PITTSBURGH GIRLS STUDY: SUBSTANCE USE AND HIV RISK BEHAVIORS/STI IN YOUNG ADULTHOODR01DA012237 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHUNG, TAMMY · 2000 to 2020
$7.7M
Disinhibition and Acute Response to Alcohol in European and African AmericansK01AA021135 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PEDERSEN, SARAH L · 2012 to 2016
$760k
Integrating longitudinal research on adolescent AUDs with imaging and geneticsK02AA018195 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHUNG, TAMMY · 2010 to 2014
$423k
NIAAA NIH HHS K01 AA021135NIAAA NIH HHS K02 AA018195NIDA NIH HHS R01 DA012237NIMH NIH HHS R01 MH056630
6 · The paper itself

Abstract

backgroundWhite, compared with Black, adolescents have higher rates of alcohol use and show more rapid increases in alcohol use. Racial differences in type of alcohol beverage (i.e., beer, wine, and liquor) consumed by youth have received scant attention, and little is known regarding changes in type of alcohol beverage consumed during adolescence, when experimentation may transition to more regular use.

methodsThis study used repeated measures latent class analysis to identify distinct profiles that represent change in type of alcohol beverage consumed across ages 11 to 18 and to examine predictors (e.g., caretaker alcohol use, perceived peer alcohol use, ease in accessing alcohol, perceived neighborhood risk indicated by witnessing drug dealing), most of which were measured at ages 11 to 12, of alcohol use profiles in the Pittsburgh Girls Study (n = 2,171; 57% Black, 43% White), a community sample with annual follow-ups.

resultsAmong Black girls, 2 profiles were identified: Low Use (76%), and Alcohol Use involving primarily liquor starting around age 15 (24%). Among White girls, 4 profiles were identified: Wine sippers (11%); a Low Use profile with low probability of drinking until age 18, when use of beer and liquor increased (52%); an Increasing Use profile with increased probability of drinking beer and liquor starting at age 15 (23%); and a High Alcohol Use profile, starting with use of wine, then shifting to use primarily of beer and liquor after age 13 (14%). Separate risk factor analyses conducted by race indicated similar predictors for Black and White girls: perceived ease in accessing alcohol, witnessing neighborhood drug dealing, and perceived peer alcohol use were each associated with heavier drinking profiles.

conclusionsLongitudinal profiles of type of alcoholic beverages, within and across racial groups, can guide the tailoring of interventions to address developmentally salient turning points in alcohol use for specific subgroups of girls.

Indexed as

Alcoholic BeveragesAdolescentAdolescent BehaviorAlcohol DrinkingBlack or African AmericanBlack PeopleChildCohort StudiesFemaleFollow-Up StudiesForecastingHumansLongitudinal StudiesPennsylvaniaRacial GroupsWhite PeopleAdolescent FemalesAlcoholic Beverage TypeRace/Ethnicity

Identifiers

PMID23931737
PMCPMC3830678
OpenAlexW1979221774

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.