Evidence map›Paper›PMID 33587022›Full record

ArticleJournal of health communication2021

Double Vision on Social Media: How Self-Generated Alcohol-Related Content Posts Moderate the Link between Viewing Others' Posts and Drinking.

Mai-Ly N Steers, Rose Marie Ward, Clayton Neighbors, Angela B Tanygin, Ying Guo, Elizabeth Teas

Abstract read
In one paragraph

Article in Journal of health communication, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. The Use of Machine Learning to Predict Offline Adolescent e-Cigarette Use: a Proof-of-Concept.Prevention science : the official journal of the Society for Prevention Research · 2026
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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

6 authors.

Mai-Ly N SteersSchool of Nursing, Duquesne University, Pittsburgh, PA, USA.
Rose Marie WardKinesiology, Nutrition, and Health, Miami University, Oxford, OH, USA.
Clayton NeighborsDepartment of Psychology, University of Houston, Houston, TX, USA.
Angela B TanyginSchool of Nursing, Duquesne University, Pittsburgh, PA, USA.
Ying GuoKinesiology, Nutrition, and Health, Miami University, Oxford, OH, USA.
Elizabeth TeasHuman Development and Family Studies, Purdue University, West Lafayette, IN, USA.

Funding

A Social Media Personalized Normative Feedback Intervention for Heavy Drinking StudentsR00AA025394 · NIAAA · DUQUESNE UNIVERSITY · PI STEERS, MAI-LY NGUYEN · 2019 to 2021
$747k
Brief Online Intervention to Reduce Heavy Alcohol Use Among Young Adult VeteransR34AA022400 · NIAAA · RAND CORPORATION · PI PEDERSEN, ERIC R. · 2013 to 2015
$692k
A Social Media Personalized Normative Feedback Intervention for Heavy Drinking StudentsK99AA025394 · NIAAA · UNIVERSITY OF HOUSTON · PI STEERS, MAI-LY NGUYEN · 2017 to 2018
$251k
NIAAA NIH HHS K99 AA025394NIAAA NIH HHS R00 AA025394NIAAA NIH HHS R34 AA022400
6 · The paper itself

Abstract

A robust finding is the positive association between self-generated alcohol-related content (SG-ARC) on social media (SM) and drinking among emerging adults; however, the reasons for this relationship are still unclear. A factor that has yet to be explored in combination with SG-ARC is how viewing others' alcohol-related content (ARC) may be impacting young adults' drinking. This cross-sectional study conducted across two universities asked students (

Indexed as

AdolescentAdultAlcohol DrinkingCross-Sectional StudiesFemaleHumansMaleSelf ReportSocial MediaStudentsUnited StatesUniversitiesYoung Adult

Identifiers

PMID33587022
PMCPMC8102344

What OpenQuestion holds

Textmetadata
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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.