Evidence map›Paper›PMID 36620668›Full record

SynthesisFrontiers in psychiatry2022

Screen time and depression risk: A meta-analysis of cohort studies.

Liqing Li, Qi Zhang, Liyong Zhu, Guohua Zeng, Hongwei Huang, Jian Zhuge, Xiaorui Kuang, Sule Yang, Di Yang, Zhensheng Chen and 3 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
15.8field-weighted citation impact, top 1% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. StandUPTV: a full-factorial optimization trial to reduce sedentary screen time among adults.The international journal of behavioral nutrition and physical activity · 2025
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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

13 authors at 5 institutions in 1 country.

Liqing LiResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Qi ZhangResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Liyong ZhuResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Guohua ZengSchool of Economics and Management, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China.
Hongwei HuangDepartment of Health Management Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jian ZhugeResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Xiaorui KuangResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Sule YangResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Di YangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China.
Zhensheng ChenResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Yong GanSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Zuxun LuSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Chunmei WuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China.
Jiangxi Science and Technology Normal University · CNGannan Medical University · CNHuazhong University of Science and Technology · CNJiangxi University of Science and Technology · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of screen time on mental health, including depression, has attracted increasing attention from not only children and adolescents but also the elderly. Thus, we conducted a meta-analysis of cohort studies to evaluate the association between screen time and depression risk. Methods: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched for cohort studies up to May 2022, and the reference lists of the included studies were also retrieved. A random-effect model was used to estimate the combined effect size. Heterogeneity was assessed with the Results: The final analysis included 18 cohort studies with a combined total of 241,398 participants. The pooled risk ratio (RR) was 1.10 (95% confidence interval: 1.05-1.14), with significant heterogeneity ( Conclusion: This study indicates that screen time is a predictor of depressive symptoms. The effects of screen time on depression risk may vary based on the participant's age, gender, location, and screen time duration. The findings could have important implications for the prevention of depression.

Indexed as

depressionepidemiologymental healthmeta-analysisscreen time

Identifiers

PMID36620668
PMCPMC9815119
OpenAlexW4312187442

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.