Evidence map›Paper›PMID 39243278›Full record

ArticleThe Psychiatric quarterly2024

Exploring Differences in Four Types of Online Activities Across Individuals with and without Problematic Smartphone Use.

Mehdi Akbari, Mohammad Seydavi, Sonay Sheikhi, Paul J Wright

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Article in The Psychiatric quarterly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Mehdi AkbariDepartment of Clinical Psychology, Faculty of Psychology and Education, Kharazmi University, No.43. South Mofatteh Ave., Tehran, Iran. M.akbari@khu.ac.ir.ORCID 0000-0003-1576-5711
Mohammad SeydaviDepartment of Clinical Psychology, Faculty of Psychology and Education, Kharazmi University, No.43. South Mofatteh Ave., Tehran, Iran.
Sonay SheikhiDepartment of Clinical Psychology, Faculty of Psychology and Education, Kharazmi University, No.43. South Mofatteh Ave., Tehran, Iran.
Paul J WrightDepartment of Communication Science, The Media School, Indiana University, Bloomington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on problematic online activities commonly focus on one type of online activity, such as social media. However, individuals often use their Smartphones for more than one online activity. This study examined four types of online activities (social networking, gaming, information acquisition, and short-form video viewing). Based on a combinatory assessment of problematic smartphone use and hours spent online, two groups were created from a larger sample (N = 642): a problematic smartphone user group (PSU; N = 230; F = 72%; Age = 24.99 ± 6.60) and a non-problematic smart phone user group (NPSU; N = 87; F = 62%; Age = 30.49 ± 10.22). As compared to the NPSU group, the PSU group engaged in more social networking, gaming, information acquisition, and short-form video seeing. The PSU group also scored higher on psychological distress, sleep disturbance, fear of missing out, metacognitions about Smartphone use (MSU), desire thinking (DT), and lower on satisfaction with life and cognitive reappraisal. Regression analyses were employed to probe correlates of each online activity among the PSU and NPSU groups. The findings are discussed in light of the metacognitive model of addictive behaviors and future directions are provided concerning the challenges of distinguishing individuals for problematic Internet-related behaviors.

Indexed as

Internet Addiction DisorderSmartphoneSocial NetworkingAdultBehavior, AddictiveFemaleHumansMaleSocial MediaVideo GamesYoung AdultInformation acquisition addictionOnline gaming addictionProblematic smartphone useShort-form video addictionSocial networking

Identifiers

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Registered trials

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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 Socratic graph.