Evidence map›Paper›PMID 39166051›Full record

ArticleHeliyon2024

Understanding the relationship between smartphone distraction, social withdrawal, digital stress, and depression among college students: A cross-sectional study in Wuhan, China.

Yufei Qiu, Xueyang Zhao, Jiali Liu, Zhaoyang Li, Man Wu, Lixin Qiu, Zhenfang Xiong, Xiaopan Wang, Fen Yang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

9 authors.

Yufei QiuSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Xueyang ZhaoNingbo Municipal Hospital of Traditional Chinese Medicine (TCM), Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, 315010, China.
Jiali LiuSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Zhaoyang LiSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Man WuSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Lixin QiuSchool of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Cognition and Education Sciences (South China Normal University), Ministry of Education, South China Normal University, Guangzhou, 510631, China.
Zhenfang XiongSchool of Nursing and Health Management, Wuhan Donghu University, Wuhan, 430212, China.
Xiaopan WangSchool of Nursing and Health Management, Wuhan Donghu University, Wuhan, 430212, China.
Fen YangSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smartphone distraction considerably affects the depression level of college students. These two variables are highly associated with social withdrawal and digital distress. However, the underlying mechanisms of how social withdrawal and digital stress were involved in the relationship between smartphone distraction and depression remain unclear. Methods: A cross-sectional survey was conducted in seven colleges of Wuhan, Hubei Province, from September to November 2021. Participants were selected using convenience sampling. Smartphone distraction, social withdrawal, digital stress, and depression level were assessed using the Smartphone Distraction Scale (SDS), 25-item Hikikomori Questionnaire (HQ-25), Multidimensional Digital Stress Scale (DSS), and the Patient Health Questionnaire-9 (PHQ-9), respectively. All scales demonstrated good reliability in this study, the reliability of each scale was 0.920, 0.884, 0.959, and 0.942. Results: The final analysis included 1184 students (692 males and 492 females), aged between 17 and 37 years. Participants were from various academic disciplines, including medical and non-medical. The findings revealed that smartphone distraction had a significant direct effect on depression (c = 0.073, 95 % CI: 0.037 to 0.108, Limitations: This study is based on cross-sectional data, which limits the causality inference. Conclusions: These findings suggest that educational institutions should identify college students with excessive smartphone use early and provide timely interventions to minimize negative outcomes. It is also significant to reduce the risk of social withdrawal and digital stress to maintain the physical and mental health development of college students.

Indexed as

Chain mediating modelDepressionDigital stressSmartphone distractionSocial withdrawal

Identifiers

PMID39166051
PMCPMC11334876

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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.