Evidence map›Paper›PMID 37887460›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Does the Effect of Stress on Smartphone Addiction Vary Depending on the Gender and Type of Addiction?

Wei Tu, Yangang Nie, Qingqi Liu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. The effect of smartphone addiction on adolescent health: the moderating effect of leisure physical activities.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2024
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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

3 authors.

Wei TuSchool of Education, Guangzhou University, Guangzhou 510006, China.
Yangang NieSchool of Education, Guangzhou University, Guangzhou 510006, China.
Qingqi LiuSchool of Education, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0001-5169-8689

Funding

Hunan University Network Ideological and Political Work Center 2019SZ04
6 · The paper itself

Abstract

Stress is closely associated with smartphone addiction. Nevertheless, there is a dearth of studies investigating the potential variation in the effect of stress on smartphone addiction based on the specific addiction type and gender. We conducted a cross-sectional questionnaire survey among 596 high school students. The results revealed that the effect size of stress on smartphone addiction varied across different types of addiction. The strongest relationship was observed between stress and social media addiction, followed by the relationship between stress and information acquisition addiction. Furthermore, gender played a significant moderating role in stress and three types of smartphone addiction. Specifically, stress was strongly associated with information acquisition addiction overall, with no significant gender differences observed. In contrast, stress exhibited a strong correlation with social media addiction, which was significantly more prevalent among females. On the other hand, game addiction and short-form video addiction were both strongly associated with stress, but showed significantly higher prevalence among males. This study enhances current research by offering supplementary insights into the correlation between stress and smartphone addiction, as well as exploring the potential implications of intervening in smartphone addiction.

Indexed as

gender differencessmartphone addictionstresstype of addiction

Identifiers

PMID37887460
PMCPMC10604698

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.