Effect of Traditional Chinese Medicine Physique Classification and Targeted, Individualized Nursing Intervention on Athletes' Mental Health in Sports

Objective: To investigate the impact of Traditional Chinese Medicine (TCM) physique classification and targeted, individualized nursing intervention on athletes' mental health in the context of sports. Methods: From February 2018 to February 2019, we randomly assigned 154 athletes to two groups (n=77) for this study. The control group received standard sports-related nursing care, while the observation group received personalized nursing interventions based on their TCM physique constitution. We assessed various parameters, including mental health indicators and sports performance metrics, before and after the nursing intervention. The assessment included psychological well-being scores, performance metrics, and the incidence of any adverse effects. Results: After the nursing intervention, athletes in the observation group showed significant improvements in psychological well-being, including lower levels of anxiety and depression (all P<0.05). Additionally, their sports performance metrics, including strength, endurance, and recovery, demonstrated remarkable enhancement compared to the control group (P<0.05). The overall quality of life scores for athletes in the observation group also showed significant improvements, particularly in physiological function, mental health, emotional function, and social function (P<0.05). In terms of adverse effects, the observation group experienced significantly fewer issues compared to the control group (P<0.05). Conclusion: Utilizing TCM physique classification and tailored nursing interventions for athletes can lead to improved mental health outcomes, enhanced sports performance, and an overall better quality of life. This approach holds promise for optimizing athletes' well-being and performance and deserves further consideration and application in the realm of sports and athletes' mental health. (AU)

Follicle-stimulating hormone associates with metabolic factors in postmenopausal women.

Current studies have focused more on the relationships among estrogen, androgen, and metabolic syndrome (MetS). The main aim of the study was to investigate whether the variation of FSH is associated with metabolic factors in postmenopausal women. A total of 561 postmenopausal women aged 39-69 years were selected. FSH, estradiol, fasting blood glucose, and lipid profiles were analyzed. Compared with women in the highest FSH quartile, women in the lowest quartile had higher body mass index (BMI), fast blood glucose (FBG), triglyceride (TG), blood pressure, and serum estradiol (E2) but lower high-density lipoprotein (HDL) (all p < .05). Compared with women in the groups of normal levels of MetS biomarkers, women in the abnormal groups had lower FSH (all p < .01). Increased quartiles of FSH were associated with significantly decreased rates of abnormal levels of metabolic factors (all p < .05). High FSH levels had protective effects regarding SBP, DBP, and FBG, with odds ratios (ORs) of 0.84 (95% CI 0.76-0.92, p < .001), 0.85 (95% CI 0.78-0.94, p < .01), 0.90 (95% CI 0.83-0.98, p < .01), respectively. Low FSH appears to be a risk factor of all domains of MetS in postmenopausal women, which merits further study.