Hip fractures in the elderly are characterized by high incidence, high disability, and high mortality rates. Early, scientifically, and safe weight-bearing exercises are crucial for promoting functional recovery and reducing complications. Intelligent intervention is revolutionizing the field of rehabilitation through real-time monitoring, data-driven decision-making, and remote management, demonstrating particular potential in optimizing weight-bearing exercises. This paper systematically reviews the current application status of various types of intelligent interventions, such as real-time monitoring and feedback systems, intelligent rehabilitation assistance, and virtual reality technology in weight-bearing exercises for elderly hip fracture patients. This paper also analyzes their advantages in developing personalized rehabilitation plans, enabling precise monitoring and feedback, and preventing fall risks and explores challenges currently faced by intelligent interventions, such as device technical maturity, patient acceptance, economic costs, and data security. The purpose of this paper is to guide future technological optimization, clinical research, and policy support, thereby advancing the application of intelligent interventions in postoperative rehabilitation.

Hip fractures in the elderly are characterized by high incidence, high disability, and high mortality rates. Early, scientifically, and safe weight-bearing exercises are crucial for promoting functional recovery and reducing complications. Intelligent intervention is revolutionizing the field of rehabilitation through real-time monitoring, data-driven decision-making, and remote management, demonstrating particular potential in optimizing weight-bearing exercises. This paper systematically reviews the current application status of various types of intelligent interventions, such as real-time monitoring and feedback systems, intelligent rehabilitation assistance, and virtual reality technology in weight-bearing exercises for elderly hip fracture patients. This paper also analyzes their advantages in developing personalized rehabilitation plans, enabling precise monitoring and feedback, and preventing fall risks and explores challenges currently faced by intelligent interventions, such as device technical maturity, patient acceptance, economic costs, and data security. The purpose of this paper is to guide future technological optimization, clinical research, and policy support, thereby advancing the application of intelligent interventions in postoperative rehabilitation.

Objective To explore the current status of clinical inertia in the treatment of patients with type 2 diabetes mellitus (T2DM) in the suburbs of Shanghai and analyze its risk factors. Methods A total of 1, 804 T2DM patients who visited the Endocrinology and Metabolism Clinic of Shanghai Sixth People's Hospital from November 2022 to November 2023 were selected as research objects. Patients were divided into clinical inertia group and non-clinical inertia group based on whether clinical inertia occurred during their treatment, and demographic and clinical data were collected. Logistic regression analysis was used to identify risk factors for clinical inertia in the treatment of T2DM patients. Results The incidence of clinical inertia in T2DM patients was 52.00% (938/1, 804). The results of multivariate Logistic regression analysis showed that longer diabetes duration, high level of glycated hemoglobin (HbA1c), high score of the Problem Areas in Diabetes Scale(PAID) score, taking over two oral medications, shorter life expectancy, and coexisting retinopathy were risk factors for clinical inertia in the treatment of T2DM patients (P < 0.05). Conclusion The incidence of clinical inertia is high in T2DM patients during treatment in the suburbs of Shanghai. T2DM patients with poor glycemic control, longer disease duration, high level of psychological distress, taking over two oral medications, shorter life expectancy, and coexisting retinopathy are more prone to occur clinical inertia.

Objective:To explore the mediating role of social support between mindfulness and perceived pressure in young and middle-aged patients with inflammatory bowel disease (IBD) .Methods:From January to September 2021, the convenient sampling method was adopted to select 350 patients with inflammatory bowel disease who were treated in 5 ClassⅢ Grade A hospitals in Shanghai. The general information questionnaire, Mindful Attention Awareness Scale (MAAS) , Social Support Ratings Scale (SSRS) and Chinese Perceived Stress Scale (CPSS) were used for survey. Pearson correlation analysis was used to test the correlation between variables. AMOS 22.0 was used to establish the structural equation model, the maximum likelihood method was used to fit and modify the data and the Bootstrap method was used to test the mediation effect. A total of 350 questionnaires were distributed in this study and 324 valid questionnaires were recovered, with an effective recovery rate of 92.57%.Results:The total score of perceived stress in young and middle-aged IBD patients was (27.81±3.86) . Social support, mindfulness and perceived stress were negatively correlated ( r=-0.306, -0.220, P<0.01) . Social support played a partial mediating role between mindfulness and perceived stress, accounting for 55.13% of the total effect. Conclusions:The perceived stress level of young and middle-aged IBD patients is relatively high, which is not optimistic. Mindfulness affects perceived stress in young and middle-aged IBD patients through social support. Clinical workers need to pay attention to condition of mindfulness and social support of patients and take targeted psychological interventions to reduce their perceived stress.