Cited by 299Physical Activity and HealthErgonomics and Musculoskeletal DisordersImpact of Technology on Adolescents

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

The associations between screen time-based sedentary behavior and depression: a systematic review and meta-analysis

Open access
Wang, Xiao, Li, Yuexuan, Fan, Haoliang·2019·BMC Public Health

Abstract

Background: The use of computers/TV has become increasingly common worldwide after entering the twenty-first century and depression represents a growing public health burden. Understanding the association between screen time-based sedentary behavior (ST-SB) and the risk of depression is important to the development of prevention and intervention strategies. Methods: We searched the electronic databases of Medline, Embase and the Cochrane Library. The odds ratio (OR) with corresponding 95% confidence intervals (CIs) was adopted as the pooled measurement. Subgroup analyses were investigated by stratified meta-analyses based on age, gender and reference group (reference category of screen time, e.g. 2 h/day, 4 h/day). Results: There were 12 cross-sectional studies and 7 longitudinal studies met the inclusion criteria. Overall, the pooled OR was 1.28 with high heterogeneity (I 2 = 89%). Compared to those who reported less SB, persons reporting more SB had a significantly higher risk of depression. When the gender was stratified, the pooled OR was 1.18 in female groups while no significant association was observed in males. Among the 19 studies, 5 studies used a reference group with ST = 2 h/days (pooled OR = 1.46), 9 studies used ≥4 h as a reference group (pooled OR = 1.38), 2 studies used 1 h as a reference group (pooled OR = 1.07) and for the remaining 3 studies, hours of ST were calculated as a continuous variable (pooled OR = 1.04). Conclusions: ST-SB is associated with depression risk and the effects vary in different populations. In addition, valid objective measures of SB should be developed in future studies.

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Crossref · 10.1186/s12889-019-7904-9

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Fig. 1 Flowchart of the article screening process
Fig. 1 Flowchart of the article screening processCC BY · PubMed Central
Fig. 2 Forest plot of the association between depression risk and ST-SB
Fig. 2 Forest plot of the association between depression risk and ST-SBCC BY · PubMed Central

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Metadata

Authors
Wang, X., Li, Y., & Fan, H.
Affiliations
  • Shanxi Medical University (CN)
  • Southern Medical University (CN)
Corresponding author
  • Wang, Xiao
  • Fan, Haoliang
Venue
BMC Public Health
Published
2019-11-14
Volume
19
Issue
1
Pages
1524-1524
ISSN
1471-2458 (ISSN-L)
OpenAlex
W2988909975
Cited by
299
References
60
Citations by year
2026: 43 · 2025: 49 · 2024: 51 · 2023: 48 · 2022: 53 · 2021: 40 · 2020: 14
FWCI
3.15
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Technology Plans to Youth R&D Innovation (QCXM201705)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Social Sciences › Human Factors and Ergonomics › Ergonomics and Musculoskeletal Disorders
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
screen time, sedentary behavior, depression, depression risk, gender differences, reference groups, television viewing, computer use
MeSH terms
Screen Time, Adolescent, Adult, Aged, Aged, 80 and over, Computers, Cross-Sectional Studies, Depression, Depressive Disorder, Female, Humans, Male, Mental Health, Middle Aged, Television, Exercise, Young Adult, Sedentary Behavior

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