Traditional Chinese Medicine Body Constitutions as Predictors for Depression: A Systematic Review and Meta-Analysis.

Traditional Chinese medicine body constitution (TCMBC) reflects a person's vulnerability to diseases. Thus, identifying body constitutions prone to depression can help prevent and treat depression. The review aimed to assess and summarize the existing evidence that explores the relationship between TCMBC and depression. Psychology and Behavioral Sciences Collection, MEDLINE, PubMed, CNKI, Wanfang, SinoMed, Embase, VIP, CINAHL, and CMJ were searched from inception to April 2021. Observational studies assessing the association between TCMBC and depression were selected. The quality of the included studies were assessed using the Newcastle-Ottawa Scale (NOS). Eighteen studies were included in the systematic review and thirteen in the meta-analysis. The pooled odd ratios of developing depression for Qi-stagnation, Qi-deficiency, Yang-deficiency, Yin-deficiency, and Balanced constitutions were 3.12 (95% CI, 1.80-5.40; I2 = 94%), 2.15 (95% CI, 1.54-3.01; I2 = 89%), 1.89 (95% CI, 0.71-5.03; I2 = 81%), 1.41 (95% CI, 0.91-2.20; I2 = 57%), and 0.60 (95% CI, 0.40-0.90; I2 = 94%), respectively. The findings suggest that the evaluation of a person's TCMBC could be useful the in prevention and treatment of depression. However, more case-control and cohort studies are required to further confirm the association between TCMBC and depression.

Traditional Chinese Medicine Body Constitutions and Psychological Determinants of Depression among University Students in Malaysia: A Pilot Study.

Depression is commonly observed in university students, who are a high risk group for developing psychiatric disorders during adulthood. This study aimed to determine the prevalence of depression and its traditional Chinese medicine body constitutions and psychological determinants among university students in Malaysia. A cross-sectional pilot study was conducted between 9 and 28 September 2020 among 80 university students in Malaysia. Participants completed online survey questionnaires, including the validated Patient Health Questionnaire (PHQ-9), Constitution in Chinese Medicine Questionnaire (CMCQ), Dysfunctional Attitude Scale (DAS), Depression Anxiety Stress Scale (DASS-21) stress subscale, Perceived Stress Scale (PSS-10), and Rosenberg Self-Esteem Scale (RSES), which assess depression, body constitution, dysfunctional attitude, stress, perceived stress, and self-esteem. Multiple linear regression analyses were performed to determine the associated risk factors for depression. The overall prevalence of depression among university students was 33.8%. The multiple regression analysis showed a significant relationship between depression and qi-stagnation constitution (B = 0.089, p = 0.011), balanced constitution (B = -0.077, p = 0.049), and self-esteem (B = -0.325, p = 0.001). Our findings suggest that some traditional Chinese medicine body constitutions and self-esteem are significant risk factors affecting depression among university students. Identifying risk factors of depression is vital to aid in the early detection of depression among university students.

Effect of Traditional Chinese Medicine on Musculoskeletal Symptoms in Breast Cancer: A Systematic Review and Meta-Analysis.

CONTEXT: Traditional Chinese Medicine (TCM) has been widely used as a complementary medical treatment for arthralgia and other types of pain. The available literature on the effectiveness of TCM on breast cancer patients with musculoskeletal symptoms reports controversial results. OBJECTIVES: The objective of this review is to assess the effectiveness of TCM as a treatment option for musculoskeletal symptoms in patients with breast cancer who were treated with aromatase inhibitors (AIs). METHODS: A comprehensive literature search was conducted using PubMed, the Cochrane Library, SAGE journals, Scopus, EMBASE, Web of Science, Medline, Cumulated Index to Nursing and Allied Health Literature (CINAHL), Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Chinese Scientific Journal Database (VIP), Wanfang, and Chinese Medical Journal Database (CMJ) from May 2020 to November 2020. The literature review included randomized controlled trials (RCTs) of TCM for AI-related musculoskeletal symptoms. RESULTS: Four RCTs incorporating TCM were assessed by meta-analysis and reported favorable effects in reducing worst pain score (n = 284, mean difference [MD]: 2.31; 95% CI, 1.74 to 2.88; P < 0.00001). Three trials showed favorable effects of TCM in reducing pain interference (n = 211, MD: 2.62; 95% CI, 1.29 to 3.94; P = 0.0001), while two trials reported no significant effects of TCM on stiffness (n = 147, MD: 1.21; 95% CI, -0.39 to 2.82; P = 0.14). The meta-analysis of three trials also found no significant effect of TCM on bone mineral density (n = 214, MD, -0.01; 95% CI, -0.07 to 0.05; P = 0.71). The physical aspect of quality of life was significantly increased in breast cancer patients after TCM treatment (n = 220, MD, 5.13; 95% CI, 2.04 to 8.22; P = 0.001). In addition, three RCTs reported minimal TCM-related adverse events. CONCLUSION: The results suggest that TCM could be an effective treatment in relieving pain especially worst pain and pain interference as well as improving quality of life caused by AI-related musculoskeletal symptoms. However, further investigation of the molecular pathway involved and in-depth safety profile are needed.