With the continuous development of the times, social competition is becoming increasingly fierce, people are facing enormous pressure and mental health problems have become common. Long-term and persistent mental health problems can lead to severe mental disorders and even death in individuals. The real-time and accurate prediction of individual mental health has become an effective method to prevent the occurrence of mental health disorders. In recent years, smart wearable devices have been widely used for monitoring mental health and have played an important role. This paper provides a comprehensive review of the application fields, application mechanisms, common signals, common techniques and results of smart wearable devices for the detection of mental health problems, aiming to achieve more efficient and accurate prediction for individual mental health, and to achieve early identification, early prevention and early intervention to provide a reference for improving the level of individual mental health.

Modern teaching methods, including case-based learning (CBL), problem-based learning (PBL), and team-based learning (TBL), offer significant advantages ove

(1) Background: The prevalence of central obesity is growing rapidly among women, and the prevalence differs by menopausal status. Longer sedentary time and less fruit/vegetable (F/V) intake increased the risk of central obesity. Among women of different menopausal statuses, controversy surrounds the association between sedentary time or F/V intake and central obesity. This study aimed to explore whether the independent and joint associations between sedentary time or F/V intake and menopausal status are correlated with central obesity, respectively. (2) Methods: This cross-sectional study was conducted in Hunan, China. Self-reported questionnaires were used to gather information on demographic characteristics, menopausal status, sedentary time, and F/V intake. Waist circumference was measured at the study site. Binary logistic regression and multiple interaction models were used to explore the independent and joint associations of menopausal status and the above two lifestyle variables with central obesity. (3) Results: A total of 387 women with a mean age of 47.7 ± 6.6 years old participated in the study. The prevalence of central obesity was 52.8%. Peri- and post-menopause statuses and not taking five servings of F/V per day were risk factors of central obesity (p < 0.05), whereas no significant association was found between sedentary time and central obesity (p > 0.05). Among peri-menopausal (mutual odds ratio (OR): 2.466, 95% confidence interval [CI]: 0.984–6.182; p < 0.05) and post-menopausal women (mutual OR: 2.274, 95% CI: 1.046–4.943; p < 0.05), more than 4 h of sedentary time per day was associated with a high risk of central obesity. Among pre-menopausal women, the consumption of five servings of F/V per day was associated with a low risk of central obesity (mutual OR: 0.444, 95%CI: 0.236–0.837, p < 0.05). (4) Conclusions: More than half of women in the central south of China presented with central obesity, spent >4 h of sedentary time per day, or did not engage in recommended F/V intake. Healthier lifestyle intervention is warranted to prevent central obesity development, including reducing the sedentary time to <4 h per day for peri- and post-menopausal women, while increasing taking five servings of F/V per day for pre-menopausal women.

Breast cancer prevalence has increased globally, with 12.2% of breast cancer cases identified in China. Obesity and unhealthy lifestyles are major risk factors for breast cancer. We conducted a randomized control trial to assess the feasibility and evaluate the preliminary effect of the Smartphone-Based Cancer and Obesity Prevention Education (SCOPE) program among adult biological women with a waist circumference greater than 80 cm. The SCOPE program includes tailored and culturally appropriate educational information for obesity and breast cancer prevention delivered by the research team via WeChat. The control group received non-tailored general health information via WeChat. A total of 102 women (52 intervention, 50 control) participated, and 87 (85%) completed 6-month follow-up assessments. For the primary study outcome at 6 months, women using SCOPE significantly reduced waist circumference (Cohen’s d = −0.39, p < 0.001). For secondary outcomes at 6 months, women using SCOPE significantly reduced BMI (d = −0.18, p = 0.001) and increased breast cancer-related knowledge (d = 0.48, p = 0.001) and attitude (d = 1.39, p < 0.01). No significant findings were found regarding diet self-efficacy, physical self-efficacy, or breast cancer screening barriers. The results suggest the intervention has great potential to promote the health and wellness of women.