Evidence map›Paper›PMID 38970143›Full record

ArticleBMC research notes2024

Insights on associations between the frequency of use of diverse social media products and social networks use disorder tendencies from a German speaking sample.

Christian Montag, Elisa Wegmann, Lasse David Schmidt, Lena Klein, Dmitri Rozgonjuk, Hans-Jürgen Rumpf

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Christian MontagDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, Helmholtzstr. 8/1, 89081, Ulm, Germany. christian.montag@uni-ulm.de.
Elisa WegmannGeneral Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), Faculty of Computer Science, University of Duisburg-Essen, Duisburg, Germany.
Lasse David SchmidtDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.
Lena KleinGeneral Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), Faculty of Computer Science, University of Duisburg-Essen, Duisburg, Germany.
Dmitri RozgonjukDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, Helmholtzstr. 8/1, 89081, Ulm, Germany.
Hans-Jürgen RumpfDepartment of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the present work we investigate how individual differences in at least occasionally using distinct social media platforms is linked to social networks use disorder (SNUD) tendencies. A final sample of n = 2200 participants filled in the AICA-C-9 measure to get insights into individual differences in overuse of social media and participants also indicated which platforms they used at least once a month.

resultsThe analysis revealed a robust positive association between number of at least occasionally used social media apps and SNUD tendencies (r = .44, p < .001). Further, platforms differed in terms of their "addictive potential", if one takes associations between frequency of distinct platforms use and SNUD tendencies as a proxy for this (and of course the actual descriptive statistics of the SNUD scale for the (non-)frequent user groups of the different platforms). In this regard, at least occasionally using some platforms (here Tumblr, Twitter and TikTok) was associated with highest SNUD tendencies. Moreover, largest differences in terms of effect sizes between the occasional and non-occasional user groups regarding SNUD scores could be observed for Instagram, WhatsApp, and TikTok. The present work bases on data from a larger project investigating associations between SNUD and tobacco use disorder.

Indexed as

Social MediaAdolescentAdultBehavior, AddictiveFemaleGermanyHumansMaleMiddle AgedSocial NetworkingYoung AdultFacebookInstagramSocial media addictionTikTokWhatsApp

Identifiers

PMID38970143
PMCPMC11227173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.