Evidence map›Paper›PMID 37239547›Full record

ArticleInternational journal of environmental research and public health2023

Dealing with Alcohol-Related Posts on Social Media: Using a Mixed-Method Approach to Understand Young Peoples' Problem Awareness and Evaluations of Intervention Ideas.

Hanneke Hendriks, Tu Thanh Le, Winifred A Gebhardt, Bas van den Putte, Robyn Vanherle

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Hanneke HendriksBehavioral Science Institute (BSI), Communication & Media, Radboud University, 6525 GD Nijmegen, The Netherlands.ORCID 0000-0003-4184-0252
Tu Thanh LeDutch Ministry of Health, Welfare and Sport, 2511 VX Den Haag, The Netherlands.
Winifred A GebhardtHealth, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, 2300 RB Leiden, The Netherlands.ORCID 0000-0002-8067-5598
Bas van den PutteAmsterdam School of Communication Research (ASCoR), University of Amsterdam, 1018 WV Amsterdam, The Netherlands.ORCID 0000-0002-3635-6880
Robyn VanherleLeuven School for Mass Communication Research, 3000 Leuven, Belgium.ORCID 0000-0003-2324-2785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Young individuals frequently share and encounter alcohol-related content (i.e., alcohol posts) on social networking sites. The prevalence of these posts is problematic because both the sharing of and exposure to these posts can increase young individuals' alcohol (mis)use. Consequently, it is essential to develop effective intervention strategies that hinder young individuals from sharing these posts. This study aimed to develop such intervention strategies by following four steps: (1) assessing young individuals' problem awareness of alcohol posts, (2) unraveling individuals' own intervention ideas to tackle the problem of alcohol posts, (3) examining their evaluations of theory/empirical-based intervention ideas, and (4) exploring individual differences in both problem awareness and intervention evaluations. To reach these aims, a mixed-method study (i.e., focus-group interviews and surveys) among Dutch high-school and college students (

Indexed as

Social MediaAdolescentAdultAlcohol DrinkingHumansSocial NetworkingStudentsSurveys and QuestionnairesYoung Adultalcohol postsintervention developmentparticipatory action researchproblem awarenesssocial media

Identifiers

PMID37239547
PMCPMC10218174

What OpenQuestion holds

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LicenceCC BY
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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.