Tzvetelina D Dimitrova1, Gloria M Reeves2, Soren Snitker3, Manana Lapidus4, Aamar R Sleemi1, Theodora G Balis4, Partam Manalai1, Muhammad M Tariq1, Johanna A Cabassa4, Naila N Karim1, Mary A Johnson5, Patricia Langenberg6, Kelly J Rohan7, Michael Miller8, John W Stiller9, Teodor T Postolache10. 1. Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States; Psychiatry Residency Training Program, St. Elizabeths Hospital, Washington, DC 20032, United States. 2. Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States; Division of Child & Adolescent Psychiatry, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States. 3. Division of Endocrinology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States. 4. Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States. 5. Department of Ophthalmology and Visual Science, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States. 6. Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States. 7. Department of Psychological Science, University of Vermont, Burlington, VT 05405-0134, United States. 8. Center for Preventive Cardiology, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States. 9. Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States; Psychiatry Residency Training Program, St. Elizabeths Hospital, Washington, DC 20032, United States; Department of Neurology, St. Elizabeths Hospital, Washington, DC 20032, United States. 10. Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201-1549, United States; Rocky Mountain MIRECC, Denver, CO 80220, United States; VISN 5 MIRECC, Baltimore, MD 21201 United States. Electronic address: tpostola@som.umaryland.edu.
Abstract
BACKGROUND: We tested the hypothesis that the early improvement in mood after the first hour of bright light treatment compared to control dim-red light would predict the outcome at six weeks of bright light treatment for depressed mood in patients with Seasonal Affective Disorder (SAD). We also analyzed the value of Body Mass Index (BMI) and atypical symptoms of depression at baseline in predicting treatment outcome. METHODS:Seventy-eight adult participants were enrolled. The first treatment was controlled crossover, with randomized order, and included one hour of active bright light treatment and one hour of control dim-red light, with one-hour washout. Depression was measured on the Structured Interview Guide for the Hamilton Rating Scale for Depression-SAD version (SIGH-SAD). The predictive association of depression scores changes after the first session. BMI and atypical score balance with treatment outcomes at endpoint were assessed using multivariable linear and logistic regressions. RESULTS: No significant prediction by changes in depression scores after the first session was found. However, higher atypical balance scores and BMI positively predicted treatment outcome. LIMITATIONS: Absence of a control intervention for the six-weeks of treatment (only the first session in the laboratory was controlled). Exclusion of patients with comorbid substance abuse, suicidality and bipolar I disorder, and patients on antidepressant medications, reducing the generalizability of the study. CONCLUSION: Prediction of outcome by early response to light treatment was not replicated, and the previously reported prediction of baseline atypical balance was confirmed. BMI, a parameter routinely calculated in primary care, was identified as a novel predictor, and calls for replication and then exploration of possible mediating mechanisms. Published by Elsevier B.V.
RCT Entities:
BACKGROUND: We tested the hypothesis that the early improvement in mood after the first hour of bright light treatment compared to control dim-red light would predict the outcome at six weeks of bright light treatment for depressed mood in patients with Seasonal Affective Disorder (SAD). We also analyzed the value of Body Mass Index (BMI) and atypical symptoms of depression at baseline in predicting treatment outcome. METHODS: Seventy-eight adult participants were enrolled. The first treatment was controlled crossover, with randomized order, and included one hour of active bright light treatment and one hour of control dim-red light, with one-hour washout. Depression was measured on the Structured Interview Guide for the Hamilton Rating Scale for Depression-SAD version (SIGH-SAD). The predictive association of depression scores changes after the first session. BMI and atypical score balance with treatment outcomes at endpoint were assessed using multivariable linear and logistic regressions. RESULTS: No significant prediction by changes in depression scores after the first session was found. However, higher atypical balance scores and BMI positively predicted treatment outcome. LIMITATIONS: Absence of a control intervention for the six-weeks of treatment (only the first session in the laboratory was controlled). Exclusion of patients with comorbid substance abuse, suicidality and bipolar I disorder, and patients on antidepressant medications, reducing the generalizability of the study. CONCLUSION: Prediction of outcome by early response to light treatment was not replicated, and the previously reported prediction of baseline atypical balance was confirmed. BMI, a parameter routinely calculated in primary care, was identified as a novel predictor, and calls for replication and then exploration of possible mediating mechanisms. Published by Elsevier B.V.
Entities:
Keywords:
Body mass index; Depression; Light therapy; Mood disorder; Obesity; Seasonal affective disorder
Authors: Raymond W Lam; Minnie Y Teng; Young-Eun Jung; Vanessa C Evans; John F Gottlieb; Trisha Chakrabarty; Erin E Michalak; Jill K Murphy; Lakshmi N Yatham; Dorothy K Sit Journal: Can J Psychiatry Date: 2019-12-12 Impact factor: 4.356
Authors: Faisal Akram; Claudia Gragnoli; Uttam K Raheja; Soren Snitker; Christopher A Lowry; Kelly A Stearns-Yoder; Andrew J Hoisington; Lisa A Brenner; Erika Saunders; John W Stiller; Kathleen A Ryan; Kelly J Rohan; Braxton D Mitchell; Teodor T Postolache Journal: J Psychiatr Res Date: 2020-01-02 Impact factor: 4.791