Evidence map›Paper›PMID 34108797›Full record

ArticleAlcoholism treatment quarterly2020

Lesbians' use of popular social media sites is associated with perceived drinking norms & interest in receiving personalized normative feedback on alcohol use.

Sarah C Boyle, Vanessa Kettering, Sunny H Young, Joseph W LaBrie

Open access · greenAbstract read
In one paragraph

Article in Alcoholism treatment quarterly, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. A Nationally Representative Study of Sexual Orientation and High-Risk Drinking From Adolescence to Young Adulthood.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    Article
  3. 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

4 authors at 1 institution in 1 country.

Sarah C BoyleLoyola Marymount University, Los Angeles, CA 90045.
Vanessa KetteringLoyola Marymount University, Los Angeles, CA 90045.
Sunny H YoungLoyola Marymount University, Los Angeles, CA 90045.
Joseph W LaBrieLoyola Marymount University, Los Angeles, CA 90045.
Loyola Marymount University · US

Funding

PNF 2.0: A Novel, Gamified, Facebook-Integrated Personalized Normative Feedback Intervention to Reduce Alcohol Use and Negative Consequences among Sexual Minority WomenR21AA025767 · NIAAA · LOYOLA MARYMOUNT UNIVERSITY · PI LABRIE, JOSEPH W. · 2018 to 2019
$386k
NIAAA NIH HHS R21 AA025767
6 · The paper itself

Abstract

Alcohol-related problems disproportionately impact sexual minority women. Recent research suggests that lesbian-identified women overestimate peer drinking norms and therefore, personalized normative feedback (PNF) may be an appropriate and efficacious intervention strategy for reducing alcohol-related risks in this population. To inform the development and packaging of such interventions, this study examines lesbians' use of the popular social media sites Facebook, Instagram, Snapchat, and Twitter in relation to alcohol consumption, perceptions of peer drinking norms, confidence in normative perceptions, and interest in receiving alcohol PNF. Findings suggest that the lesbians who are most likely to benefit from a PNF alcohol intervention may also be the most readily reached via social media sites. Alcohol interventions that both recruit and deliver PNF via widely used social media platforms such as Facebook and Instagram represent a promising and cost-effective strategy to reduce heavy drinking among lesbians.

Identifiers

PMID34108797
PMCPMC8186293
OpenAlexW3006209156

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.