Evidence map›Paper›PMID 41418287›Full record

Observational studyJournal of medical Internet research2025

Time Spent on Social Media Applications in Relation to Depressive Symptoms During Emerging Adulthood and the Mediating Role of Sleep Quality: Cross-Sectional Observational Study.

Qi Zou, Jiabi Qin, Lei Zhang, Wenhua Wang, Xiaoxiao Yuan, Tingting Wang, Yuan Peng, Ye Chen, Linfei Dou, Xinghua Yang and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qi ZouDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0009-0003-5450-3631
Jiabi Qin *Department of Maternal, Child and Adolescent Health, School of Public Health, Kunming Medical University, Kunming, China.ORCID http://orcid.org/0000-0002-9360-4991
Lei Zhang *Shaanxi Medical Association, Xi'an, Shaanxi, China.ORCID http://orcid.org/0009-0000-9916-9348
Wenhua WangShaanxi Provincial Health Industry Association Service Center, Xi'an, Shaanxi, China.ORCID http://orcid.org/0009-0000-2934-493X
Xiaoxiao YuanShaanxi Provincial Health Industry Association Service Center, Xi'an, Shaanxi, China.ORCID http://orcid.org/0009-0006-6756-4320
Tingting WangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0000-0002-6440-4827
Yuan PengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0009-0003-1406-6158
Ye ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0009-0007-6584-203X
Linfei DouDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China, 86 15971471776.ORCID http://orcid.org/0009-0002-8870-4530
Xinghua YangDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China, 86 15971471776.ORCID http://orcid.org/0009-0009-3665-3402
Xirennayi AbudurexitiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID http://orcid.org/0009-0009-9416-3591
Mingyang Wu *Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China, 86 15971471776.ORCID http://orcid.org/0000-0003-3001-1897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The link between social media use and depressive symptoms remains bidirectional. Findings in this area are often compromised by methodological limitations related to measurement and sample size. As a result, it is challenging to assess dose-response relationships and potential causal pathways. Objective: This study aims to use objective measurement methods to assess the dose-response relationship and potential mechanisms between social media use and depressive symptoms. Methods: This study was conducted in 6 universities in 2022. Social media use duration was assessed based on the monitoring of mobile phone systems, and depressive symptoms were evaluated by the Self-Rating Depression Scale. Logistic regression and restricted cubic spline were used to assess the relationship between social media use and depressive symptoms. Mediation analysis was used to elucidate the biological pathways of sleep quality in the abovementioned relationship. Results: A total of 7401 college students were included in the final analysis, with 4.93% of moderate to severe depressive symptoms. After adjusting for variables such as sociodemographic characteristics and health-related characteristics, there was a significant association between individuals with longer weekly social media use time and depressive symptoms (odds ratio [OR>48h] 1.769, 95% CI 1.303-2.400). Similarly, the association between instant messaging-based social media use duration and depressive symptoms was also significant (OR>24h 1.728, 95% CI 1.225-2.437), while no associations were observed for content-based social use (OR>24h 1.251, 95% CI 0.932-1.680). Restricted cubic splines regression demonstrated a J-type relationship between social media use duration and depressive symptoms. Additionally, sleep quality played a partial mediating role in the relationship between social media use duration and depressive symptoms, with the mediating effect values ranging from 24.10% to 25.25%. Conclusions: Prolonged social media use duration might be associated with an increased prevalence of depressive symptoms in emerging adulthood and may increase the odds of depression by affecting sleep quality, suggesting that early prevention and intervention regarding social media use might help to ameliorate depressive symptoms.

Indexed as

DepressionSleep QualitySocial MediaAdolescentAdultCross-Sectional StudiesFemaleHumansMaleStudentsTime FactorsUniversitiesYoung Adultdepressive symptomsemerging adulthoodmediating effectsleepsocial media use

Identifiers

PMID41418287
PMCPMC12716832

What OpenQuestion holds

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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.