Evidence map›Paper›PMID 31760294›Full record

ArticleDrug and alcohol dependence2019

Exposure to alcohol outlets, alcohol access, and alcohol consumption among adolescents.

Christopher N Morrison, Hilary F Byrnes, Brenda A Miller, Sarah E Wiehe, William R Ponicki, Douglas J Wiebe

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Alcohol Consumption Patterns: A Systematic Review of Demographic and Sociocultural Influencing Factors.International journal of environmental research and public health · 2022
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
    Article
  10. Article
  11. Article
  12. [Youth and Alcohol : A survey with a view to the situation in Austria].Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2020
    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.

Christopher N MorrisonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. Electronic address: cm3820@cumc.columbia.edu.
Hilary F ByrnesPrevention Research Center, Pacific Institute for Research and Evaluation, Oakland, CA, USA.
Brenda A MillerPrevention Research Center, Pacific Institute for Research and Evaluation, Oakland, CA, USA.
Sarah E WieheDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
William R PonickiPrevention Research Center, Pacific Institute for Research and Evaluation, Oakland, CA, USA.
Douglas J WiebeDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Changing Environmental Influences on Adolescent Alcohol Use and Risk BehaviorsR01HD078415 · NICHD · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI BYRNES, HILARY F. · 2014 to 2017
$1.9M
Influences Of In-Person Social Networks, Digital Social Networks And Neighborhoods On Adolescent Alcohol ConsumptionK01AA026327 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORRISON, CHRISTOPHER NEIL · 2018 to 2022
$903k
NIAAA NIH HHS K01 AA026327NICHD NIH HHS R01 HD078415NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

backgroundAdolescents who live near more alcohol outlets tend to consume more alcohol, despite laws prohibiting alcohol purchases for people aged <21 years. We examined relationships between adolescents' exposure to alcohol outlets, the sources through which they access alcohol, and their alcohol consumption.

methodsParticipants for this longitudinal study (n = 168) were aged 15-18 years and were from 10 cities in the San Francisco Bay Area. We collected survey data to measure participant characteristics, followed by 1 month of GPS tracking to measure exposure to alcohol outlets (separated into exposures near home and away from home for bars, restaurants, and off-premise outlets). A follow-up survey approximately 1 year later measured alcohol access (through outlets, family members, peers aged <21 years, peers aged ≥21 years) and alcohol consumption (e.g. count of drinking days in last 30). Generalized structural equation models related exposure to alcohol outlets, alcohol access, and alcohol consumption.

resultsExposure to bars and off-premise outlets near home was positively associated with accessing alcohol from peers aged <21, and in turn, accessing alcohol from peers aged <21 was positively associated with alcohol consumption. There was no direct association between exposure to alcohol outlets near home or away from home and alcohol consumption.

conclusionsInterventions that reduce adolescents' access through peers aged <21 may reduce adolescents' alcohol consumption.

Indexed as

Alcoholic BeveragesSurveys and QuestionnairesAdolescentAdultCommerceFemaleGeographic Information SystemsHumansLongitudinal StudiesMaleResidence CharacteristicsRestaurantsSan FranciscoUnderage DrinkingYoung AdultAccessAdolescentAlcoholNeighborhoodOutletStructural equation modelTeen

Identifiers

PMID31760294
PMCPMC6961351

What OpenQuestion holds

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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.