Objective: To analyze the developmental trajectories of clustered health risk behaviors and their association with self-esteem and lonelinesss among junior high school students, so as to provide a reference for formulating comprehensive prevention and control measures of health risk behaviors among adolescents. Methods: In October 2023, 1 165 first year junior high school students from two schools of Jishou City in Hunan Province were selected by convenient sampling method for three follow up surveys (T1:October 2023; T2:April 2024; T3:October 2024). The Adolescent Health Risk Behavior Questionnaire, Rosenberg Self esteem Scale and Loneliness Scale were used to assess health risk behaviors, self esteem and loneliness, respectively. Latent growth curve modeling and latent growth mixture modeling were applied to analyze the developmental trajectories of clustered health risk behaviors among junior high school students. Logistic regression was used to analyze the association of the developmental trajectories of clustered health risk behaviors with self esteem and loneliness among junior high school students. Results: The overall developmental trajectories among junior high school students showed a declining trend (intercept=0.15, slope=-1.65, both P <0.05), with three heterogeneous categories:low risk improvement group ( n =862, 74.0%), moderate risk stable group ( n =260, 22.3%), and high risk deterioration group ( n =43, 3.7%). After adjusting the status of the left behind individuals，using the low risk improvement group as the reference category in multinomial Logistic regression analysis, results indicated that higher loneliness scores among junior high school students increased the risks of belonging to the moderate risk stable group ( OR=1.02, 95%CI =1.00- 1.04 ) and the high risk deterioration group ( OR=1.04, 95%CI =1.00-1.08), while higher self esteem scores reduced the risks of belonging to the moderate risk stable group ( OR=0.93, 95%CI =0.91-0.96) and the high risk deterioration group ( OR=0.88, 95%CI =0.83-0.94) (all P <0.05). Conclusions The overall trend of clustered health risk behaviors among junior high school students gradually improves, and the self esteem and loneliness are significant correlative factors. Targeted intervention measures should be developed for the junior high school students, with a focus on enhancing their self esteem and alleviating loneliness.

This paper summarizes the historical background of the combination of acupuncture and moxibustion and digital intelligence technology, and its relevant studies in recent years. From three aspects, i.e. meridian points, acupuncture and moxibustion techniques and clinical research, the research status and landing scenarios of such combination, as well as its application value and development prospects were explored. It was found that in the development of digital intelligence of acupuncture and moxibustion, the acupuncture and moxibustion practitioners encountered the insufficient preparation in the coming career situation, the high-level research platforms were few, the cross-interdisciplinary talents were of the shortage, the quantity and quality of data were out of perfection and the study depth and breadth was limited. Focusing on these problems, and associating with the development and research status of the industry, it was attempt to give the analysis and suggestion. In the future, supported by digital intelligence technology to empower acupuncture research, the effect mechanism of acupuncture and moxibustion can be explored in view of more dimensions and deeper levels, and more objective and higher-quality medical evidence can be generated. Eventually, the development of acupuncture and moxibustion industry can be boosted, the modernization of acupuncture and moxibustion and the internationalization of TCM be accelerated.
Moxibustion/history* ; Humans ; Acupuncture Therapy/instrumentation*

With the development and the application of intelligent acupuncture and moxibustion equipment such as moxibustion robot and acupuncture robot, intelligent technology is constantly involved in the innovation of education. Computer technology represented by knowledge graph is re-constructing, in a structured form, including the fragmented information of the knowledge of acupuncture and moxibustion at all times and in all countries. Its application in the education scene further promotes the optimization of the technology itself. The knowledge fusion for the vertical scene of acupuncture-moxibustion knowledge has impelled us to develop universal entity and relationship extraction techniques. With the help of knowledge graph, the four-diagnosis equipment and acupuncture and moxibustion treatment equipment can be deeply integrated, and the wise information technology be thoroughly applied in the whole process of acupuncture and moxibustion education, so as to give full play to the "emergence" effect of knowledge and thinking, and drive the development of the theories of acupuncture and moxibustion in traditional Chinese medicine.
Moxibustion/instrumentation* ; Humans ; Acupuncture/education* ; Acupuncture Therapy/instrumentation* ; Knowledge

OBJECTIVE: To explore the characteristics and rules of the locations of acupoints selected in weight loss after syndrome differentiation of acupuncture and moxibustion, and provide quantitative evidence for the location specificity of acupoint selection in weight loss. METHODS: Clinical research articles on acupoint selection based on syndrome differentiation of acupuncture and moxibustion in weight loss were retrieved in China National Knowledge Infrastructure (CNKI), from the inception to September 20th, 2024, and the data about acupoints and differentiated syndromes were extracted. Based on graph theory, the acupoint-syndrome network was established and its topological parameters such as node degree, value of betweenness centrality, description length and number of community were calculated. RESULTS: ①The description length of the limbs was 4 255.592, and that of the trunk was 3 274.312. The information contained in the acupoint-syndrome network for the acupoints on the limbs was greater than that for those on the trunk. ②The value of betweenness centrality and node degree showed a nonlinear relationship, with R²of 0.812 1 for the trunk and 0.321 8 for the limbs. The values of betweenness centrality for the acupoints on the trunk were uniformly distributed, and the difference among these values was much smaller than that for the acupoints on the limbs. It suggested that the distance from each trunk acupoint to network center was similar, and the importance among these acupoints to network was similar, while the importance among acupoints located on the limbs was different significantly. ③The frequency proportion of acupoints on the trunk showed uniform distribution among different syndromes, while that of some acupoints located on the limbs such as Taichong (LR3), Neiting (ST44) and Taixi (KI3) presented a correlation with the syndromes. CONCLUSION In weight loss with acupuncture and moxibustion, the correlation between the limb acupoints and syndromes is more diverse and specific than that between the trunk acupoints and syndromes. The differences in acupoint selection for simple obesity treated with acupuncture and moxibustion are mostly reflected in the acupoints on the four limbs rather than those on the trunk. It provides an approach to acupoint selection for "local weight loss" and "general regulation" in treatment with acupuncture and moxibustion.
Humans ; Acupuncture Points ; Moxibustion ; Weight Loss ; Acupuncture Therapy ; Obesity/physiopathology*

Objective:To systematically review the current registered clinical study schemes in China regarding the combination of TCM and targeted drug therapy for lung cancer; To analyze their strengths and weaknesses; To provide reference for future study.Methods:Chinese Clinical Trial Registry for clinical study schemes combining TCM with targeted drug therapy for lung cancer treatment was retrieved from the inception to July 10, 2024. The general characteristics, study types, intervention measures, and outcome indicators of existing schemes were systematically summarized and analyzed.Results:A total of 15 studies were included, with the earliest study registered in 2013. Registration locations were concentrated in Shanghai, Guangdong, Tianjin, and Zhejiang. Among them, 9 studies received funding from local, national finance, or hospitals; 13 studies passed ethical review, and 12 included informed consent. The design schemes included 10 randomized controlled studies, 1 cohort study, 1 interventional single-arm study, and 3 observational studies. 6 studies had a sample size smaller than 100 cases, and most were single-center trials. Intervention measures primarily involved the combination of Chinese patent medicine or TCM with targeted drugs, with evaluation indicators mainly focusing on clinical symptoms and laboratory indicators. The setting of outcome indicators lacked a unified standard.Conclusions:Since 2013, clinical studies combining TCM with targeted drug therapy for lung cancer have been relatively methodologically sound but face challenges such as small sample sizes and a certain degree of regional concentration, leading to relatively insufficient representativeness. The future direction for improvement lies in multi-center, large-sample, and well-designed clinical trials. It is also necessary to establish a standardized and normalized system for evaluating outcomes. Integrating basic research to clarify the mechanisms of TCM can provide a theoretical basis for the combination of TCM and targeted drugs, which is conducive to enhancing the rigor and scientific nature of clinical trial design and promoting the formation of high-level evidence-based medicine.

Objective: To understand the potential categories of health risk behaviors among adolescents in the Wuling Mountain Area and their association with school connectedness, so as to provide reference for formulating classified and effective intervention measures. Methods: From March to June 2023, 3 386 middle and high school students from eight schools in the Wuling Mountain Area were selected using the multistage stratified cluster random sampling method. A basic information questionnaire, health risk behaviors questionnaire, and school connectedness scale were utilized for the survey. The latent classes of adolescent health risk behaviors in the Wuling Mountain Area were investigated by using latent class analysis, while an multinomial Logistic regression model was employed to analyze the association between latent classes and school connectedness. Results: Adolescent health risk behaviors in the Wuling Mountains Area were classified into three latent classes: high risk class of episodic behaviors ( 5.64 %), high risk class of implicit behaviors (26.90%), and low risk class of implicit behaviors (67.45%). Gender, ethnicity, and family type revealed significant differences in the distribution of the three latent classes ( χ 2=117.91, 22.55, 21.51, P <0.05). The results of the regression model analysis showed that, with the low risk class as the reference category, high school connectedness scores were associated with the high risk class of episodic behaviors ( OR=0.89, 95%CI = 0.88- 0.91) and the high risk class of implicit behaviors ( OR=0.90, 95%CI =0.89-0.91)( P <0.05). Conclusions The characteristics of adolescent health risk behavior classes in the Wuling Mountain Area are obvious. The high risk class of episodic behaviors and the high risk class of implicit behaviors are negatively correlated with school connectedness. Corresponding measures should be taken to enhance adolescents sense of belonging in school and reduce the aggregation and co occurrence of health risk behaviors.

Objective: To explore the causal relationship between adolescent school connectedness and the co-occurrence with health risk behaviors among junior high school students, so as to provide the reference for reducing the occurrence of adolescents health risk behaviors among junior high school students. Methods: A total of 924 students from two junior high schools in Jishou City were selected by the convenience sampling and cluster sampling methods, and two follow up surveys were conducted at 6 month intervals in April (T1) and October (T2) of 2023 using the Adolescent Health Risk Behavior Questionnaire and the School Connection Scale. The scores of the co-occurrence of school connectedness and health risk behaviors among junior high school students were compared by different survey periods and genders using the t-test, and cross lagged analyses were performed using Mplus 8.3 software. Results: School connectedness scores among junior high school students in T1 and T2 surveys were (38.86±7.46) (37.87± 7.71 ) and co-occurrence of health risk behaviors scores were (1.64±0.68) (1.83±0.53), respectively, and the differences between the scores of the 2 surveys were statistically significant ( t=4.24, -4.14, P <0.05). The correlation between school connectedness and co-occurrence of health risk behaviors were statistically significant in both surveys ( r =-0.46 to -0.33, P <0.05). Cross lagged analyses showed that school connectedness in T1 negatively predicted the co-occurrence of health risk behaviors in T2 ( β =-0.08), and the co-occurrence of health risk behaviors in T1 negatively predicted the school connectedness in T2 ( β =-0.15) ( P <0.05). Conclusions There is a longitudinal causal relationship between school connectedness and co-occurrence of health risk behaviors among junior high school students. School connectedness should be improved through various ways to reduce the co-occurrence of health risk behaviors.

Objective: To understand the potential categories of harmful behaviors of college students in Wuling Mountain Area and its relationship with campus bullying, so as to provide a theoretical basis for promoting the development of college students physical and mental health. Methods: The stratified random cluster sampling method was used to select 3 042 college students from six universities in Wuling Mountain Area from October to December, 2022. The "Chinese Youth Health Related/Risk Behaviors Questionnaire" (University Edition) compiled by the National Youth Health Related/Risk Behaviors Survey Group was used to investigate the health risk behaviors. The potential category analysis method was used to analyze the food preference, insecurity, fighting, loneliness, depression, insomnia, heartbreak, suicidal ideation, smoking, drinking, game addiction, Internet addiction of health risk behaviors were used to further analyze the relationship between different categories and campus bullying by using multi category Logistic regression method. Results: College students in Wuling Mountain Area were classified into low risk group of category 1 (44.2%), category 2 (5.4%) substance dependent group, category 3(50.4%) emotional disorder group. The distribution of potential categories of health risk behaviors among college students was statistically significant by gender( χ 2=31.44, 11.69， P < 0.05 ). Logistic regression analysis showed that after controlling demographic variables, campus bullying was the risk factor of category 3 emotional disorder group( OR =1.88, P <0.01). Conclusion bullying. Colleges and universities should attach great importance to the occurrence of campus bullying, formulate intervention programs for different categories of health hazard behaviors, and promote the healthy development of college students physical and mental health.

Objective: To understand the association between non suicidal self injury and self control among rural junior high school students in Guizhou Province, and to provide reference for the development of prevention and control measures. Methods: Using a multistage stratified random cluster sampling method, a questionnaire survey was administered to 4 452 junior high school students in 30 rural schools in Guizhou Province from November to December 2021 to investigate non suicidal self injury and self control using the Non suicidal Self Injury Scale and the Self Control Scale. Results: A total of 986 (22.2%) students had occasional non suicidal self injurious behaviors, 593 (13.3%) students reported frequent non suicidal self injury, and the occurrence of non suicidal self injury among junior high school students varied significantly by gender, grade, only child, residence, left behind experiences, academic performance, academic pressure, parent child relationship, peer relationship, teacher student relationship, and exposure to domestic violence ( χ 2=6.97-168.68, P <0.05); the average score of self control among junior high school students in rural Guizhou Province was 48.0 (39.0, 57.0), and the differences in self control scores, impulse control, healthy habits, resist temptation, focus on work, and moderate entertainment were of statistical significance among students with varied frequency of self injurious behavior ( Z=612.08, 464.64, 193.10, 228.86, 194.04 , 542.20, P <0.05); high self control score was associated with more non suicidal self injurious behavior ( OR=1.06, 95%CI=1.05-1.07, P <0.05). Conclusion The prevalence of non suicidal self injury is high among rural junior high school students in Guizhou province, and self control shows a predictive effect on non suicidal self injurious behavior.Schools, families and relevant government departments should pay full attention to it and formulate targeted prevention and control measures.

A quality assessment tool for home care is an indicator system used to evaluate the quality of home care service. The unified and standardized quality indicators for home care can not only help to judge the quality of home care service, but more importantly, it can help identify the gaps and problems in the process, so as to improve the quality of home care service. This article summarizes some of the advanced assessment tools that have been internationally applied for the home health care and to discuss the direction for development of the assessment tools in China.