Evidence map›Paper›PMID 34517444›Full record

ArticlePsychiatry investigation2021

The Relationship of Smartphone Addiction and Alexithymia.

İbrahim Gündoğmuş, Mehmet Sinan Aydın, Ayhan Algül

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  13. Role of Alexithymia in Predicting Internet Novel Addiction through Boredom Proneness.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

İbrahim GündoğmuşDepartment of Psychiatry, Kırıkkale Yüksek İhtisas Hospital, Kırıkkale, Turkey.
Mehmet Sinan AydınDepartment of Psychiatry, Ortaca State Hospital, Muğla, Turkey.
Ayhan AlgülDepartment of Psychiatry, Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey.
Kırıkkale University · TRSivas State Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to evaluate whether smartphone addiction (SA) is associated with social media use and alexithymia levels in university students.

methodsA group of 935 students aged between 18 and 45 years (509 females and 426 males) was recruited from different universities in Istanbul. SAs, alexithymia and social media use were assessed using the Smartphone Addiction Scale Short Version (SAS-SV), Toronto Alexithymia Scale-20 (TAS-20), and ad-hoc questions regarding social media use.

resultsThe mean age of participants was 21.89±3.27 years and 509 of participants were female (54.4%). 455 (48.6%) participants were placed in the "SA" and 198 (21.2%) in the "alexithymia" categories. The study found a high level of positive correlation (p<0.001) between both subscale and total TAS-20 scores and SAS-SV scores. Gender (OR=1.496, 95% CI 1.117-2.002, p=0.007) and number of social media by participants (OR=1.221, 95% CI 1.134-1.315, p<0.001) and TAS (OR=1.074, 95% CI 1.059-1.090, p<0.001) were found to be an independent predictors for SA.

conclusionThe study revealed a positive correlation between alexithymia and smartphone use severity, and alexithymia was a significant predictor of SA. Future studies focusing on the causal aspect of this relationship will be useful in planning strategies for treatment.

Indexed as

AddictionsAlexithymiaContentSmartphoneSocial mediaUser

Identifiers

PMID34517444
PMCPMC8473865
OpenAlexW3201532907

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.