Evidence map›Paper›PMID 40481421›Full record

ArticleBMC psychiatry2025

Predictors of sleep modifiable factors and the correlation with non-suicidal self-injury: the important role of problematic mobile phone use and mental health.

Li Zhu, Keyan Hu, Qingqing Kang, Yijing Chen, Li Gong, Qiu Zhang, Yi Zhang

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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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

7 authors.

Li Zhu *Department of Endocrinology, The Chaohu Hospital Affiliated of Anhui Medical University, Chaohu, Anhui, 238000, China.
Keyan Hu *Department of Endocrinology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
Qingqing KangDepartment of Endocrinology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Yijing ChenDepartment of Endocrinology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
Li GongDepartment of Endocrinology, Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi, Jiangsu, 214187, China.
Qiu ZhangDepartment of Endocrinology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China. zhangqiu@ahmu.edu.cn.
Yi ZhangDepartment of Endocrinology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China. zy18356056506@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsNon-suicidal self-injury (NSSI) has long affected people's lives and is an important and serious public health issue, especially among college students. This study aims to identify modifiable factors, including problematic mobile phone use (PMPU) and mental health (MH), etc. Only a few studies have mentioned the correlation between PMPU and NSSI, this study focus on its association with suicide, and whether this association is moderated by chronotype and MH needs to be confirmed by research.

methodsA cross-sectional study design investigated the association between PMPU, chronotype and MH and NSSI. We collected information from participants using an electronic questionnaire that included general demographics, PMPU, NSSI, and sleep-related variables (chronotype, weekday and weekend sleep duration). Participants completed standardized questionnaires, including mobile phone addiction tendency scale (MPATS) for PMPU, the Morningness-Eveningness Questionnaire (MEQ) for chronotype, Patient Health Questionnaire (PHQ-9) for depression symptoms, Generalized Anxiety Scale (GAD-7) for anxiety symptoms, and the non-suicidal self-injury (NSSI) for suicide risk. A multivariable linear regression model measure these variables, and moderation model which using the PROCESS method examined the relationship of PMPU, chronotype and MH and NSSI.

resultsA total of 5639 adolescents were included in the study, with a mean age of 19.64 [± 0.90] years), and 46.3% of the participants were male. The prevalence of NSSI was 12.1%, in multivariate linear regression, high levels of PMPU (β = 0.362), eveningness (β = 0.665), depression (β = 1.183), and anxiety (β = 1.308) were all associated with higher NSSI, indicating a significant association. In the analysis results of moderation, chronotype and MH also moderated the relationship between PMPU and NSSI, indicating that there was a relationship between PMPU, chronotype, MH and NSSI.

conclusionsThis study highlights the important role of PMPU and mental health in predicting NSSI. Interventions targeting these modifiable factors may help reduce the prevalence of NSSI among young adults. Improving sleep hygiene, reducing mobile phone abuse, and providing appropriate psychological support are effective strategies to prevent NSSI. Educational institutions and society should strengthen guidance on the proper use of digital media by young people, especially among college students, promote healthy lifestyles, and establish early identification and support systems to help those individuals at risk.

Indexed as

Cell PhoneCell Phone UseMental HealthSelf-Injurious BehaviorSleepAdolescentAdultAnxietyCross-Sectional StudiesDepressionFemaleHumansMaleRisk FactorsStudentsSurveys and QuestionnairesChronotypeMental healthNon-suicidal self-injuryProblematic mobile phone useYoung adults

Identifiers

PMID40481421
PMCPMC12144720

What OpenQuestion holds

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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.