Evidence map›Paper›PMID 40361037›Full record

ArticleBMC psychiatry2025

Symptom network between problematic smartphone use and poor sleep quality in adolescents with depression.

Yongjie Zhou, Jian Gong, Jing Shao, Nan Yan, Linlin Meng, Kongliang He, Ying Shen, Qian Wei, Chunyan Zhang, Xuan Lei and 2 more

Abstract read
PubMed Full text at PMC Publisher
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

12 authors.

Yongjie Zhou *Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, Guangdong Province, China.
Jian Gong *Department of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, 222th South Tianshui Rd, Lanzhou, 730000, Gansu Province, China.
Jing ShaoDepartment of English Language and Literature, Faculty of Arts, Hong Kong Baptist University, Hong Kong SAR, China.
Nan YanCAS Key Laboratory of Human‒Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China.
Linlin MengLinyi Mental Health Center, Linyi Fourth People's Hospital, Linyi, Shandong Province, China.
Kongliang HeHefei Fourth People's Hospital, Hefei, Anhui Province, China.
Ying ShenDepartment of Psychosomatic Medicine, Ganzhou Third People's Hospital, Ganzhou, Jiangxi Province, China.
Qian WeiDepartment of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, 222th South Tianshui Rd, Lanzhou, 730000, Gansu Province, China.
Chunyan ZhangShenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, Guangdong Province, China.
Xuan LeiDepartment of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, 222th South Tianshui Rd, Lanzhou, 730000, Gansu Province, China.
Yuehua CaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, 222th South Tianshui Rd, Lanzhou, 730000, Gansu Province, China.
Yanni WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou University, 222th South Tianshui Rd, Lanzhou, 730000, Gansu Province, China. wangyann@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study established a network structure between problematic smartphone use (PSU) and poor sleep quality (PSQ) to explore their symptomatic relationship in adolescents with depression.

methodsThe data were obtained from the baseline data of the Chinese Adolescent Depression Cohort, which included depressed adolescents aged between 12 and 18 years. PSU and PSQ were assessed via the Mobile Phone Addiction Index (MPAI) and Pittsburgh Sleep Quality Index (PSQI). This study utilized network analysis to identify the core and bridge symptoms between PSU and PSQ.

resultsThe core symptom of the network was 'Anxiety and craving' in the PSU. The symptoms 'Anxiety and craving', 'Daytime dysfunction' and 'Sleep disturbances' could function as bridges between PSU and PSQ. The symptom 'Anxiety and craving' played the most important role in the interaction between PSU and PSQ. It affects 'Sleep disturbances' that contribute to the harm of problematic smartphone use to sleep quality. The symptom 'Daytime dysfunction' of PSQ was the most severely affected by PSU.

conclusionsInterventions that target regulating negative emotion and reducing daytime tiredness would be more effective in managing problematic smartphone use and improving sleep quality. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

DepressionInternet Addiction DisorderSleep Initiation and Maintenance DisordersSleep QualitySleep Wake DisordersSmartphoneAdolescentAnxietyChildChinaCravingFemaleHumansMaleAdolescentDepressionDirected acyclic graphNetwork analysisPoor sleep qualityProblematic smartphone use

Identifiers

PMID40361037
PMCPMC12077027

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.