Association of internet use and depression among the spinal cord injury population

To examine the relation between the frequency of Internet use and depression among people with spinal cord injury (SCI). Cross-sectional survey. SCI Model Systems. People with SCI (N=4618) who were interviewed between 2004 and 2010. Not applicable. The frequency of Internet use and the severity of d...

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Veröffentlicht in:Archives of physical medicine and rehabilitation Jg. 95; H. 2; S. 236
Hauptverfasser: Tsai, I-Hsuan, Graves, Daniel E, Lai, Ching-Huang, Hwang, Lu-Yu, Pompeii, Lisa A
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.02.2014
Schlagworte:
Adult
Cross-Sectional Studies
Depression - diagnosis
Female
Humans
Internet - utilization
Male
Pain Measurement
Psychiatric Status Rating Scales
Risk Factors
Spinal Cord Injuries - psychology
spinal cord injury
OR
CI
Patient Health Questionnaire-9
NSCID
Depression
AIS
odds ratio
PHQ-9
SCI
ASIA Impairment Scale
Spinal cord injuries
confidence interval
Internet
National Spinal Cord Injury Database
Rehabilitation
ISSN:1532-821X, 1532-821X
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Zusammenfassung:To examine the relation between the frequency of Internet use and depression among people with spinal cord injury (SCI). Cross-sectional survey. SCI Model Systems. People with SCI (N=4618) who were interviewed between 2004 and 2010. Not applicable. The frequency of Internet use and the severity of depressive symptoms were measured simultaneously by interview. Internet use was reported as daily, weekly, monthly, or none. The depressive symptoms were measured by the Patient Health Questionnaire-9 (PHQ-9), with 2 published criteria being used to screen for depressive disorder. The diagnostic method places more weight on nonsomatic items (ie, items 1, 2, and 9), and the cut-off method that determines depression by a (PHQ-9) score ≥10 places more weight on somatic factors. The average scores of somatic and nonsomatic items represented the severity of somatic and nonsomatic symptoms, respectively. Our multivariate logistic regression model indicated that daily Internet users were less likely to have depressive symptoms (odds ratio=.77; 95% confidence interval, .64-.93), if the diagnostic method was used. The linear multivariate regression analysis indicated that daily and weekly Internet usage were associated with fewer nonsomatic symptoms; no significant association was observed between daily or weekly Internet usage and somatic symptoms. People with SCI who used the Internet daily were less likely to have depressive symptoms.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1532-821X
1532-821X
DOI:10.1016/j.apmr.2013.08.004