Under the backdrop of smart health management technology development, this article reviews research advances in smart monitoring, assessment and intervention technologies for older people with mild cognitive impairment, including the types, typical applications and results of monitoring, assessment and intervention technologies.In addition, from the perspective of community-dwelling older adults' cognitive health management, a model for innovative management of community-dwelling older adults' cognitive function taking advantage of smart health management technologies is proposed, aiming to enhance the acceptance of smart health technologies among older people with cognitive impairment and to provide policy advice on developing friendly communities for older people with cognitive impairment.

Objective: To investigate the present situation of health education on school myopia prevention and control in primary and middle schools in Beijing, so as to provide scientific basis and suggestions for effective implementation of health education on school myopia prevention and control. Methods: From November 6-17, 2023, a total of 551 school doctors and health care teachers from public primary and secondary schools in seven districts of Beijing were investigated by using stratified random cluster sampling method. The contents included basic information, the basic situation of school health work, and the status of myopia prevention and control in schools. The data was described by frequency and proportion. Chisquare test was used to analyze the influencing factors. Results: A total of 89.8% of the respondents were found in the school of offering health education courses about myopia prevention and control. Among these respondents, 54.5% were equipped with health education course material of professional myopia prevention and control, and the teachers were primarily class teachers (57.6%), health care teachers (45.5%), and physical education teachers (45.1%), and most of the classes were conducted once a month (33.7%) and once a semester (28.1%). A total of 95.6% of the subjects had health education activities about myopia prevention and control at their schools. The frequency of activities was once a month (38.5%) and once a semester (27.9%). There were statistically significant differences of the report rate in setting up health education courses on myopia prevention and control, and the frequency of activities in different areas and different types of schools (χ2=19.53, 13.15, 34.30, 20.32, P<0.05). Conclusions Health education on school myopia prevention and control in primary and middle schools in Beijing is supportive. But health education courses taught by professional teachers should pay attention to the norms of the course material to complete a certain amount of class time, and development of health education activities should be diversified, so as to effectively implement health education of myopia prevention and control at school.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective:To explore mechanism of long non-coding RNA maternally expressed gene 8(LncRNA MEG8)mediates immune escape in colorectal cancer(CRC)cells by regulating MICA/B via targeting miR-15a-5p.Methods:RT-qPCR and Western blot were used to detect expressions of MEG8,miR-15a-5p,MICA,MICB,NKG2D protein in CRC tissue and cell lines;dual luciferase experiment was used to verify regulatory relationship of MEG8 on miR-15a-5p;NC,MEG8,miR-NC and miR-15a-5p were respectively or co-transfected into SW480 and SW620 cells by liposome transfection,and recorded as NC group,MEG8 group,MEG8+miR-NC group,MEG8+miR-15a-5p group;NK cells were cocultured with SW480 and SW620 cells respectively;ELISA was used to detect TNF-α and IFN-γ levels in coculture medium;CCK-8,EdU staining,Transwell assay were used to detect cell prolifera-tion,migration and invasion ability;RT-qPCR and Western blot were used to detect MEG8,miR-15a-5p,MICA,MICB,NKG2D protein levels in cells.Results:Compared with adjacent cancer tissues or normal colon epithelial cells,MEG8,MICA,MICB,NKG2D mRNA and protein levels in CRC tissues and cell lines were decreased,while miR-15a-5p level was increased(P<0.05).MEG8 targeting regulated miR-15a-5p.In cocultivation system,compared with NC group,MICA,MICB,NKG2D protein levels,TNF-α,IFN-γ levels in cocultured supernatant in MEG8 group were significantly increased,after 1 d,2 d,and 3 d of cell culture,OD value,EdU positive rate,number of migrating and invading cells were significantly decreased(P<0.05);overexpression of miR-15a-5p could partially reverse effects of overexpression of MEG8 on MICA,MICB,NKG2D,TNF-α,IFN-γ levels in cells,prolifera-tion,invasion and metastasis ability(P<0.05).Conclusion:MEG8 promotes NK cell activity and inhibits CRC cell immune escape by regulating MICA and MICB expressions via targeting miR-15a-5p.