Evidence map›Paper›PMID 40001021›Full record

ArticleBMC psychiatry2025

The relationship between social support and smartphone addiction: the mediating role of negative emotions and self-control.

Guanping Zhong, Yang Shu, Yuelin Zhou, Hongwei Li, Jiushun Zhou, Lian Yang

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Guanping ZhongSchool of Public Health, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, China.
Yang ShuSchool of Public Health, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, China.
Yuelin ZhouSchool of Management, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, China.
Hongwei LiSchool of Public Health, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, China.
Jiushun ZhouSichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan Province, China.
Lian YangSchool of Public Health, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Chengdu, China. yyanglian@163.com.

Funding

National Natural Science Foundation of China 72174032
6 · The paper itself

Abstract

backgroundWith the rapid development of the internet, smartphones have become an indispensable part of our lives. However, prolonged, excessive and uncontrolled use may lead to the hidden danger of smartphone addiction, posing a threat to users' physical and mental health. Previous studies have shown that social support may be a factor in alleviating smartphone addiction. However, its specific mechanism needs further exploration. The purpose of this study is to examine the chain mediating effects of negative emotions and self-control on the relationship between social support and smartphone addiction.

methodsA cross-sectional survey was conducted from January 2022 to April 2023 in Sichuan Province, China, with 5,188 respondents aged 15 years or older. Spearman's correlation analysis was used to determine correlations between social support, negative emotions, self-control, and smartphone addiction. We construct a Structural Equation Model (SEM) to explore the pathways of smartphone addiction across different age groups.

resultsSocial support, negative emotions, self-control, and smartphone addiction were found to be significantly related (p < 0.01).In the population aged 15-44, a complete SEM pathway analysis was achieved, while for the population aged 45-64, a simplified version of the pathway analysis was obtained. Among the population aged 65 and above, multiple pathways were found to be nonsignificant. For the full sample, social support not only exhibited a negative correlation with smartphone addiction (β = -0.410; 95% CI: -0.534 to -0.320) but also influenced smartphone addiction through three specific pathways: via negative emotions (β = -0.041; 95% CI: -0.066 to -0.021), via self-control (β = -0.087; 95% CI: -0.119 to -0.063), and via a sequential effect of negative emotions and self-control (β = -0.047; 95% CI: -0.062 to -0.036). The 15-44 age group demonstrated similar pathways to the full sample, whereas the 45-64 age group lost the pathway mediated solely by negative emotions.

conclusionsOur study shows that high social support reduces smartphone addiction by diminishing negative emotions and improving self-control.The effect is more pronounced in the 15-44 age group.We suggest strengthening the social support system through more activities and urge relevant departments to improve the mental health education, enhance self-control training, and promote mental well-being to help avoid smartphone addiction.

trial registrationClinical trial number: not applicable.

Indexed as

Behavior, AddictiveEmotionsInternet Addiction DisorderSelf-ControlSmartphoneSocial SupportAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedYoung AdultNegative emotionsSelf-controlSmartphone addictionSocial support

Identifiers

PMID40001021
PMCPMC11863422

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LicenceCC BY-NC-ND
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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.