Suicidality, psychopathology, and the internet: Online time vs. online behaviors. (September 2017)
- Record Type:
- Journal Article
- Title:
- Suicidality, psychopathology, and the internet: Online time vs. online behaviors. (September 2017)
- Main Title:
- Suicidality, psychopathology, and the internet: Online time vs. online behaviors
- Authors:
- Harris, Keith M.
Starcevic, Vladan
Ma, Jing
Zhang, Wei
Aboujaoude, Elias - Abstract:
- Abstract: This study investigated whether several psychopathology variables, including suicidality, could predict the time people spend using the internet (hours online). Next, we examined a specific at-risk population (suicidal individuals) by their online behaviors, comparing suicidal individuals who went online for suicide-related purposes with suicidal individuals who did not go online for suicide-related purposes. An anonymous online sample of 713 (aged 18–71) reported hours online, psychiatric histories, and completed several standardized scales. After accounting for age and education, hierarchical regression modeling showed that the assessed psychopathology variables, including suicidality, did not explain significant variance in hours online. Hours online were better predicted by younger age, greater willingness to develop online relationships, higher perceived social support, higher curiosity, and lower extraversion. Suicidal participants, who did or did not go online for suicide-related purposes, did not differ on hours online. Multiple regression modeling showed that those who went online for suicide-related purposes were likely to be younger, more suicidal, and more willing to seek help from online mental health professionals. These findings revealed that hours online are not a valid indicator of psychopathology. However, studying online behaviors of specific at-risk groups could be informative and useful, including for suicide prevention efforts. Highlights:Abstract: This study investigated whether several psychopathology variables, including suicidality, could predict the time people spend using the internet (hours online). Next, we examined a specific at-risk population (suicidal individuals) by their online behaviors, comparing suicidal individuals who went online for suicide-related purposes with suicidal individuals who did not go online for suicide-related purposes. An anonymous online sample of 713 (aged 18–71) reported hours online, psychiatric histories, and completed several standardized scales. After accounting for age and education, hierarchical regression modeling showed that the assessed psychopathology variables, including suicidality, did not explain significant variance in hours online. Hours online were better predicted by younger age, greater willingness to develop online relationships, higher perceived social support, higher curiosity, and lower extraversion. Suicidal participants, who did or did not go online for suicide-related purposes, did not differ on hours online. Multiple regression modeling showed that those who went online for suicide-related purposes were likely to be younger, more suicidal, and more willing to seek help from online mental health professionals. These findings revealed that hours online are not a valid indicator of psychopathology. However, studying online behaviors of specific at-risk groups could be informative and useful, including for suicide prevention efforts. Highlights: Psychopathology did not predict hours online. Suicide-related online users were more suicidal, but also willing to seek help online. Specific online behaviors may be more important than hours online. Telepsychiatry, including online therapy, may be well suited to help suicidal online users. … (more)
- Is Part Of:
- Psychiatry research. Volume 255(2017)
- Journal:
- Psychiatry research
- Issue:
- Volume 255(2017)
- Issue Display:
- Volume 255, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 255
- Issue:
- 2017
- Issue Sort Value:
- 2017-0255-2017-0000
- Page Start:
- 341
- Page End:
- 346
- Publication Date:
- 2017-09
- Subjects:
- Psychiatry -- Periodicals
Psychiatry -- periodicals
Psychiatrie -- Périodiques
616.89 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01651781 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.psychres.2017.06.012 ↗
- Languages:
- English
- ISSNs:
- 0165-1781
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6946.263700
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British Library HMNTS - ELD Digital store - Ingest File:
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