Abstract The accelerating population aging and the rejuvenation trend of chronic diseases in China have continuously aggravated the chronic disease burden, making chronic disease prevention and control increasingly essential. General practitioners are the core workforce for chronic disease prevention and control, and their training quality directly determines the performance of grassroots healthcare services. Digital intelligence, built on digital infrastructure, enables standardized data collection, analysis, and product transformation adapted to clinical scenarios. Leveraging artificial intelligence, big data, and machine learning, it mines high-value clinical and public health key information to support evidence-based medical decision-making and optimize the diagnosis, treatment, and management processes for chronic diseases. On the basis of the characteristics of chronic disease prevention and control talents in grassroots healthcare institutions and the background of digital intelligence development in the new era, this study systematically retrieves and reviews domestic and foreign research on the profile, training paths and digital intelligence-enabled teaching progress of grassroots medical talents engaged in chronic disease prevention and control. Focusing on the core challenges existing in current teaching and training for such talents, and combining practical experience in grassroots medical education, this study proposes a digital intelligence empowerment-oriented strategy to effectively align the supply of training resources with the actual demands of grassroots settings, so as to construct a context-adapted systematic training mechanism and optimized development path for chronic disease prevention and control talents in grassroots healthcare institutions.

Objective To explore the specialty system of special physical education at master's level.Methods Professional competency for special physical education was developed using the World Health Organization Rehabilitation Competency Framework (RCF), and was applied to the exploration of theoretical structure and methodological system for the construction of special physical education program at master's level.Results Based on the RCF, a competency framework for special physical education teachers was constructed, involving in five areas: practice, professionalism, learning and development, management and leadership, and research. The proficiency of competencies and activities should attain the corresponding level. The construction of special physical education program should be built to highlight the characteristics of RCF and focus on the training of competency in four areas: education objectives, instructional methods, the curriculum of the program and instructional assessment.Conclusion A competency-based program at the master's level in special physical education has been constructed using the RCF. The program uses the RCF to specify professional competency standards for special physical education teachers, and this can be transformed into the content of the competency-based program for special physical education at the master's level. The RCF is used to construct a competency-based special physical education system, which can be used to specify the educational objectives, instructional modalities, specialized core curriculum, and content and methods of instructional assessment in the design of a special physical education program at the master's level.

Objective    To evaluate the effect of smoking and drinking status on the prognosis of patients with esophageal squamous cell carcinoma (ESCC). Methods    The clinical data of 483 patients with ESCC who underwent surgical treatment in Shannxi Provincial People's Hospital from 2007 to 2016 were retrospectively analyzed. Among them, 352 patients were male and 131 were female, with a median age of 64 (37-80) years. There were 311 smokers and 172 drinkers. The relationship between preoperative drinking or smoking status and the clinicopathological characteristics of patients with ESCC was analyzed. Log-rank method and Cox risk regression were used to conduct univariate and multivariate survival analysis, respectively. Results    The preoperative smoking status was related to the patient's tumor location (P=0.030). Drinking status was associated with tumor location (P=0.001), degree of differentiation (P=0.030), pathological T stage (P=0.024) and pathological N stage (P=0.029). Univariate survival analysis showed that smoking status did not affect the disease-free survival (DFS) (P=0.188) and overall survival (OS) (P=0.127) of patients with ESCC. However, patients who drank alcohol had worse PFS than non-drinking patients (29.37 months vs. 42.87 months, P=0.009). It was further proved that alcohol consumption was an independent risk factor affecting patients' recurrence and metastasis by using multivariate analysis (RR=1.28, P=0.040). Alcohol consumption also reduced the OS of patients by 21.47 months (P=0.014), however, multivariate analysis did not yield significant results. Conclusion    Preoperative drinking status is related to the stage and differentiation of patients with ESCC. It is an independent risk factor affecting the recurrence and metastasis of ESCC.