Association between screen time and depression among US adults
Madhav KC, Sherchand SP, Sherchan S
Preventive medicine reports · 84 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Funding not disclosed
Publication
- Published
- 2017-08-16 · Prev Med Rep · vol. 8 · pp. 67–71
- Publisher
- Elsevier BV
- Cited
- 177 citations · more than 99% of similar papers · 16.3× the field average
- Impact
- Top 10% most cited in its field
- References
- 37 works
- Access
- Open access (journal) · CC-BY-NC-ND
- Research areas
- Impact of Technology on Adolescents · Health disparities and outcomes · Mobile Health and mHealth Applications
- Keywords
- screen time, depression, television viewing, computer use, sedentary behavior, adults, sex differences, NHANES, PHQ-9
3 authors
From US
- Madhav KCLouisiana State University; Louisiana State University Health Sciences Center New Orleans
- Shardulendra Prasad SherchandLouisiana State University Health Sciences Center New Orleans
- Samendra P. Sherchan · correspondingTulane University
Abstract
Epidemiological surveys conducted in general populations have found that the prevalence of depression is about 9% in the United States. World Health Organization has projected that depression will be leading cause of disease burden by the year 2030. Growing evidence suggests that sedentary lifestyle is an important risk factor of depression among adults. The relationship between television watching/computer use and depression in US adults is still unknown. The objective of this study was to assess the relationship between television watching/computer use and depression. This is a cross-sectional study that used the secondary data from the National Health and Nutritional Examination Survey (NHANES) (2011/2012). Participants were 3201 US adults who were 20 years or more. Self-reported Patient Health Questionnaire-9 [PHQ-9] was used to classify depression level; self-reported hours of watching TV and use of computer/day, and demographic information were obtained from NHANES data set. SAS®9.4was used to perform all statistical analyses and final model selection procedure. Depression was found to be significantly higher among female. Results showed that moderate or severe depression level was associated with higher time spent on TV watching and use of computer (> 6 h/day) (adjusted odds ratio: 2.3, 95% CI: 1.602-3.442). Duration of screen time was significantly associated when all covariates were adjusted. TV watching and computer use can predict the depression level among adults. Prospective studies and measurement of factors such as: work place sitting, social relationship, and family history of depression are warranted.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC-ND).
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