| Title |
The GoodNight study—online CBT for insomnia for the indicated prevention of depression: study protocol for a randomised controlled trial
|
|---|---|
| Published in |
Trials, February 2014
|
| DOI | 10.1186/1745-6215-15-56 |
| Pubmed ID | |
| Authors |
John A Gosling, Nick Glozier, Kathleen Griffiths, Lee Ritterband, Frances Thorndike, Andrew Mackinnon, Kanupriya Kalia Hehir, Anthony Bennett, Kylie Bennett, Helen Christensen |
| Abstract |
Cognitive Behaviour Therapy for Insomnia (CBT-I) delivered through the Internet is effective as a treatment in reducing insomnia in individuals seeking help for insomnia. CBT-I also lowers levels of depression in this group. However, it is not known if targeting insomnia using CBT-I will lower depressive symptoms, and thus reduce the risk of major depressive episode onset, in those specifically at risk for depression. Therefore, this study aims to examine whether Internet delivery of fully automated self-help CBT-I designed to reduce insomnia will prevent depression. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 45% |
| United States | 2 | 18% |
| Curaçao | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Ireland | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 325 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 50 | 15% |
| Researcher | 49 | 15% |
| Student > Ph. D. Student | 46 | 14% |
| Student > Bachelor | 39 | 12% |
| Student > Doctoral Student | 27 | 8% |
| Other | 50 | 15% |
| Unknown | 68 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 121 | 37% |
| Medicine and Dentistry | 41 | 12% |
| Nursing and Health Professions | 24 | 7% |
| Social Sciences | 16 | 5% |
| Neuroscience | 9 | 3% |
| Other | 31 | 9% |
| Unknown | 87 | 26% |