Yan Ma1,2, Alicia Yeung3, Albert C Yang1,4,5, Chung-Kang Peng1, Alisabet Clain6, Jonathan Alpert6, Maurizio Fava6, Albert S Yeung6,7. 1. a Division of Interdisciplinary Medicine and Biotechnology , Beth Israel Deaconess Medical Center, Harvard Medical School , Boston , Massachusetts. 2. b Sleep Center, Eye Hospital, China Academy of Chinese Medical Sciences , Beijing , China. 3. c George Washington University , Washington, DC. 4. d Department of Psychiatry , Taipei Veterans General Hospital , Taipei City , Taiwan. 5. e School of Medicine, National Yang-Ming University , Taipei City , Taiwan. 6. f Depression Clinical and Research Program , Massachusetts General Hospital, Harvard Medical School , Boston , Massachusetts. 7. g Department of Behavioral Health , South Cove Community Health Center , Boston , Massachusetts.
Abstract
OBJECTIVE: This pilot study evaluated the effects of Tai Chi training on sleep quality (primary outcomes), and depression and social functioning levels (secondary outcomes) among patients with depression. PARTICIPANTS: Sixteen depressed Chinese patients. METHODS: Participants received 1-hr Tai Chi training sessions 2 times per week for 10 weeks. Patients' subjective sleep quality ratings, objective sleep quality measurements, and depression and social functioning levels were measured before, during, and after the intervention. RESULTS: Sleep quality and depression outcomes improved significantly. Patients reported improved Pittsburgh Sleep Quality Index (PSQI) scores (9.6 ± 3.3 to 6.6 ± 5.2, p = 0.016), and cardiopulmonary coupling (CPC) analysis of electrocardiogram (ECG) showed decreased stable sleep onset latency (75.7 ± 100.6 to 20.9 ± 18.0, p = 0.014), increased stable sleep percentages (31.5 ± 18.7 to 46.3 ± 16.9, p = 0.016), and decreased unstable sleep percentages (45.3 ± 20.1 to 30.6 ± 16.5, p = 0.003). Patients also reported decreased Hamilton Rating Scale for Depression (HAM-D-17; 20.1 ± 3.7 to 7.8 ± 5.9, p < 0.001) and Beck Depression Inventory (BDI) scores (22.3 ± 9.1 to 11.1 ± 10.6, p = 0.006). Significant correlations were found between the changes in subjective sleep assessments ΔPSQI and ΔHAM-D-17 (r = 0.6, p = 0.014), and ΔPSQI and ΔBDI (r = 0.62, p = 0.010). Correlations between changes in objective sleep measurements and changes in depression symptoms were low and not significant. CONCLUSIONS: Tai Chi training improved sleep quality and mood symptoms among depressed patients.
OBJECTIVE: This pilot study evaluated the effects of Tai Chi training on sleep quality (primary outcomes), and depression and social functioning levels (secondary outcomes) among patients with depression. PARTICIPANTS: Sixteen depressed Chinese patients. METHODS:Participants received 1-hr Tai Chi training sessions 2 times per week for 10 weeks. Patients' subjective sleep quality ratings, objective sleep quality measurements, and depression and social functioning levels were measured before, during, and after the intervention. RESULTS: Sleep quality and depression outcomes improved significantly. Patients reported improved Pittsburgh Sleep Quality Index (PSQI) scores (9.6 ± 3.3 to 6.6 ± 5.2, p = 0.016), and cardiopulmonary coupling (CPC) analysis of electrocardiogram (ECG) showed decreased stable sleep onset latency (75.7 ± 100.6 to 20.9 ± 18.0, p = 0.014), increased stable sleep percentages (31.5 ± 18.7 to 46.3 ± 16.9, p = 0.016), and decreased unstable sleep percentages (45.3 ± 20.1 to 30.6 ± 16.5, p = 0.003). Patients also reported decreased Hamilton Rating Scale for Depression (HAM-D-17; 20.1 ± 3.7 to 7.8 ± 5.9, p < 0.001) and Beck Depression Inventory (BDI) scores (22.3 ± 9.1 to 11.1 ± 10.6, p = 0.006). Significant correlations were found between the changes in subjective sleep assessments ΔPSQI and ΔHAM-D-17 (r = 0.6, p = 0.014), and ΔPSQI and ΔBDI (r = 0.62, p = 0.010). Correlations between changes in objective sleep measurements and changes in depression symptoms were low and not significant. CONCLUSIONS: Tai Chi training improved sleep quality and mood symptoms among depressedpatients.
Authors: Yan Ma; Chiu-Wen Wu; Chung-Kang Peng; Andrew Ahn; Suzanne M Bertisch; Lewis A Lipsitz; Gloria Y Yeh; Brad Manor; Vera Novak; Jeffrey M Hausdorff; Brian Gow; Peter M Wayne Journal: Sci Rep Date: 2019-05-16 Impact factor: 4.379