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Article: Prediction of Dropout in a Randomized Controlled Trial of Adjunctive Light Treatment in Patients with Non-Seasonal Depression and Evening Chronotype
Title | Prediction of Dropout in a Randomized Controlled Trial of Adjunctive Light Treatment in Patients with Non-Seasonal Depression and Evening Chronotype |
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Authors | |
Keywords | attrition depressive disorder dropout eveningness light therapy |
Issue Date | 27-Jul-2022 |
Publisher | MDPI |
Citation | Clocks & Sleep, 2022, v. 4, n. 3, p. 346-357 How to Cite? |
Abstract | The current study examined the possible predictors of dropout during a five-week light treatment (LT) with a gradual advance protocol in 93 patients with unipolar non-seasonal depression and evening chronotypes by comparing their clinical characteristics and performing a logistic regression analysis. Nineteen out of ninety-three (20%) subjects (80% female, 46.5 +/- 11.7 years old) dropped out during the 5-week light treatment. Treatment non-adherence (i.e., receiving LT for less than 80% of the prescribed duration) over the first treatment week predicted a five-fold increase in risk of dropout during light therapy (OR: 5.85, CI: 1.41-24.21) after controlling for potential confounders, including age, gender, treatment group, rise time at the baseline, patient expectation, and treatment-emergent adverse events. There is a need to incorporate strategies to enhance treatment adherence and retention in both research and clinical settings. |
Persistent Identifier | http://hdl.handle.net/10722/331995 |
ISSN | 2023 Impact Factor: 2.1 2023 SCImago Journal Rankings: 0.649 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chan, Joey WY | - |
dc.contributor.author | Li, Shirley Xin | - |
dc.contributor.author | Chau, Steven Wai Ho | - |
dc.contributor.author | Chan, Ngan Yin | - |
dc.contributor.author | Zhang, Jihui | - |
dc.contributor.author | Wing, Yun Kwok | - |
dc.date.accessioned | 2023-09-28T05:00:07Z | - |
dc.date.available | 2023-09-28T05:00:07Z | - |
dc.date.issued | 2022-07-27 | - |
dc.identifier.citation | Clocks & Sleep, 2022, v. 4, n. 3, p. 346-357 | - |
dc.identifier.issn | 2624-5175 | - |
dc.identifier.uri | http://hdl.handle.net/10722/331995 | - |
dc.description.abstract | <p>The current study examined the possible predictors of dropout during a five-week light treatment (LT) with a gradual advance protocol in 93 patients with unipolar non-seasonal depression and evening chronotypes by comparing their clinical characteristics and performing a logistic regression analysis. Nineteen out of ninety-three (20%) subjects (80% female, 46.5 +/- 11.7 years old) dropped out during the 5-week light treatment. Treatment non-adherence (i.e., receiving LT for less than 80% of the prescribed duration) over the first treatment week predicted a five-fold increase in risk of dropout during light therapy (OR: 5.85, CI: 1.41-24.21) after controlling for potential confounders, including age, gender, treatment group, rise time at the baseline, patient expectation, and treatment-emergent adverse events. There is a need to incorporate strategies to enhance treatment adherence and retention in both research and clinical settings.<br></p> | - |
dc.language | eng | - |
dc.publisher | MDPI | - |
dc.relation.ispartof | Clocks & Sleep | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | attrition | - |
dc.subject | depressive disorder | - |
dc.subject | dropout | - |
dc.subject | eveningness | - |
dc.subject | light therapy | - |
dc.title | Prediction of Dropout in a Randomized Controlled Trial of Adjunctive Light Treatment in Patients with Non-Seasonal Depression and Evening Chronotype | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/clockssleep4030029 | - |
dc.identifier.scopus | eid_2-s2.0-85141439070 | - |
dc.identifier.volume | 4 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 346 | - |
dc.identifier.epage | 357 | - |
dc.identifier.eissn | 2624-5175 | - |
dc.identifier.isi | WOS:000856318300001 | - |
dc.identifier.issnl | 2624-5175 | - |