Evidence map›Paper›PMID 34591025›Full record

ArticleJournal of medical Internet research2021

Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study.

Davide Marengo, Rayna Sariyska, Helena Sophia Schmitt, Eva-Maria Messner, Harald Baumeister, Matthias Brand, Christopher Kannen, Christian Montag

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Time Spent on Mobile Apps Matters: A Latent Class Analysis of Patterns of Smartphone Use among Adolescents.International journal of environmental research and public health · 2023
    Article
  5. Review
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

8 authors at 3 institutions in 2 countries.

Davide MarengoDepartment of Psychology, University of Turin, Turin, Italy.ORCID 0000-0002-7107-0810
Rayna SariyskaDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.ORCID 0000-0002-4895-4271
Helena Sophia SchmittDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.ORCID 0000-0001-6734-6928
Eva-Maria MessnerDepartment of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.ORCID 0000-0001-6100-8354
Harald BaumeisterDepartment of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.ORCID 0000-0002-2040-661X
Matthias BrandDepartment of General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), Faculty of Engineering, University of Duisburg-Essen, Duisburg, Germany.ORCID 0000-0002-4831-9542
Christopher KannenDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.ORCID 0000-0003-4242-0233
Christian MontagDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.ORCID 0000-0001-8112-0837
Universität Ulm · DEUniversity of Duisburg-Essen · DEUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial communication via instant messaging (IM) and social networking (SN) apps makes up a large part of the time that smartphone users spend on their devices. Previous research has indicated that the excessive use of these apps is positively associated with problematic smartphone use behaviors. In particular, image-based SN apps, such as Instagram (Facebook Inc) and Snapchat (Snap Inc), have been shown to exert stronger detrimental effects than those exerted by traditional apps, such as Facebook (Facebook Inc) and Twitter (Twitter Inc).

objectiveIn this study, we investigated the correlation between individuals' tendencies toward smartphone use disorder (SmUD) and objective measures of the frequency of smartphone usage. Additionally, we put to test the hypothesis that the pathway linking the frequency of actual smartphone usage to self-reported tendencies toward SmUD was mediated by the increased frequency of IM and SN app usage.

methodsWe recruited a sample of 124 adult smartphone users (females: 78/124, 62.9%; age: mean 23.84 years, SD 8.29 years) and collected objective information about the frequency of smartphone and SN app usage over 1 week. Participants also filled in a self-report measure for assessing the multiple components of tendencies toward SmUD. Bivariate associations were investigated by using Spearman correlation analyses. A parallel mediation analysis was conducted via multiple regression analysis.

resultsThe frequency of smartphone usage, as well as the use of IM apps (Messenger, Telegram, and WhatsApp [Facebook Inc]), Facebook, and image-based apps (Instagram and Snapchat), had significant positive associations with at least 1 component of SmUD, and the cyberspace-oriented relationships factor exhibited the strongest associations overall. We found support for an indirect effect that linked actual smartphone usage to SmUD tendencies via the frequency of the use of image-based SN apps.

conclusionsOur novel results shed light on the factors that promote SmUD tendencies and essentially indicate that image-based SN apps seem to be more strongly associated with problematic smartphone behaviors compared to IM apps and traditional SN apps, such as Facebook.

Indexed as

Mobile ApplicationsSmartphoneAdultCommunicationFemaleHumansSelf ReportSocial NetworkingYoung Adultmediation modelmobile phoneobjective measuressmartphonesmartphone usesmartphone use disordersocial mediasocial networkingweb-based communication

Identifiers

PMID34591025
PMCPMC8517811
OpenAlexW3204703307

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.