Objective: To analyze the text structure, temporal evolution, and mechanism related shortcomings of policies related to family-school-society collaboration in promoting students physical and mental health in China, thereby providing a reference for improving collaborative mechanisms in the context of health promoting school development. Methods: The PKULAW Laws and Regulations Database was used as the data source. A total of 115 relevant policy documents issued by relevant departments from the founding of the People s Republic of China to May 7, 2026, were included. Drawing on the adolescent health policy analysis framework and adapting it to the Chinese contexts of family-school-society collaborative education, health promoting school development, and interdepartmental collaborative governance, policy text analysis was conducted. Multi label coding was applied to 629 semantic units, and fractional counting was used to calculate the weights of 6 main dimensions and 31 subdimensions and to describe the dimensional composition of the policies and its changes over time. Results: Policies related to family-school-society collaboration in promoting students physical and mental health gradually evolved from early principle based collaboration centered on the ideological and moral development of minors into institutional arrangements supported by the Healthy China initiative, the legal institutionalization of family education, collaborative education mechanisms, and health promoting school development. Among the 6 main dimensions, policy features and costs accounted for 54.8% of the total weight, followed by implementation considerations (22.9%), monitoring and evaluation (9.5%), policy appropriateness (5.6%), inclusion and coverage (4.8%), and participatory approach (2.5%). At the subdimension level, proposed interventions, target population characteristics, intersectoral linkages, consideration of adolescents social ecology, and goal setting accounted for 18.7%, 16.0%, 12.0%, 9.6%, and 9.4% of the total weight, respectively, whereas adolescent participation and the incorporation of young people s voices accounted for only 0.3% and 0.1% , respectively. These findings indicated that the policy texts focused primarily on problem identification, target population specification, and implementation arrangements, while provisions concerning students active participation, identification of differentiated needs, and support from disaggregated data remained relatively limited. Conclusions China has established a policy framework for family-school-society collaboration in promoting students physical and mental health that emphasizes goal setting, responsibility division, and organizational implementation, while gradually extending to specific health promotion tasks. Nevertheless, policy provisions concerning students active participation, the identification of differentiated needs, stratified and category specific monitoring, and the use of evaluation feedback require further specification.

Abstract The cooccurrence of multi disease among children and adolescents has become increasingly prominent, necessitating a shift from "single disease separate treatment" to "multi disease co prevention". Focusing on four common health problems in children and adolescents, namely, myopia, depression, overweight/obesity, and spinal abnormalities, the paper systematically reviews the association between four categories of factors, society, environment, family, and individual behavior, and the co occurrence of the aforementioned health problems. The findings indicate that particulate matter 2.5 exposure, light at night, physical inactivity, excessive screen time, and unhealthy diet constitute the primary cross dimensional risk network. Based on these findings, the paper proposes a collaborative action framework involving family, school, and society, emphasizing systematic strategies ranging from upstream environmental governance to downstream behavioral intervention, so as to provide evidence for the practice and policy making of multi disease co-prevention in children and adolescents.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective:To develop outcome indicators for the implementation of comprehensive inter-ventions targeting the multimorbidity of myopia and obesity in children and adolescents,providing a basis for the co-prevention of multimorbidity and the outcome measurement of implementation research in children and adolescents.Methods:Based on the RE-AIM framework,a preliminary set of indicators was constructed.The Delphi method was employed,with experts scoring and providing feedback on the proposed indicators via questionnaires.After each round of consultation,expert enthusiasm index,authority coefficient,coordination degree,and consensus level were calculated.Expert opinions were col-lected and analyzed to modify,delete,or add indicators based on consultation results and screening crite-ria.Two Delphi rounds were conducted until consensus was achieved.Results:A total of 28 experts par-ticipated actually in both rounds.The Kendall's W coefficients for the two rounds of expert consultation were0.352(x2=413.952,P＜0.001)and 0.499(x2=405.044,P＜0.001),both statistically sig-nificant.The final outcome indicators for implementation research on comprehensive interventions for myopia and obesity comorbidity in children and adolescents included five primary dimensions with 13 secondary and 20 tertiary indicators.The dimension of reach included the number of children and adoles-cents involved,participant representativeness,and full-course participation representativeness.The di-mension of effectiveness included multimorbidity incidence,myopia incidence,spherical equivalent,body mass index(BMI),overweight and obesity prevalence,waist-to-height ratio,comprehensive health knowledge score,and comprehensive health behavior score.The dimension of adoption covered school representativeness and representativeness of school nurses and teachers involved in implementation.The dimension of implementation included fidelity,content modification,and cost.The dimension of mainte-nance included individual health outcomes and organizational sustainment.Conclusion:This study developed implementation outcome indicators for comprehensive interventions targeting multimorbidity of myopia and obesity among the children and adolescents based on the RE-AIM framework.These indica-tors can serve as a reference for optimizing intervention research strategies related to common multimor-bidity among children and adolescents in China.

Objective By comparing the prevalence and mortality of dementia among rural people in Xi'an in 1997 and 2014 to clarify the epidemiological changes of dementia among rural people in the city over 17 years.Methods In 1997 and 2014,people aged 55 and above in villages in Xi'an were selected by random cluster sampling method,and face-to-face questionnaire survey was conducted by combining centralized and home visits.Dementia and its subtypes were diagnosed by"the three-step method";the changes of dementia prevalence and mortality were compared between the two surveys.Results The prevalence of dementia among rural residents aged 55 and above in Xi'an was 3.49％in 1997,with age-gender standardized prevalence of 2.08％.In 2014,the prevalence of dementia was 4.25％,with age-gender standardized prevalence of 2.78％.Over the 17 years,the prevalence of dementia increased by 1.79 times(OR=1.79,95％CI:1.20-2.65,P=0.004),with a 1.9-fold increase in females and a 1.67-fold increase in males.The mortality of dementia patients was 61.76‰ and age-gender standardized mortality was 60.20‰ in 1997,while the mortality was 35.71‰ and age-gender standardized mortality was 34.18‰ in 2014.The mortality of dementia decreased by 33％over the 17 years(HR=0.33,95％CI:0.15-0.74,P=0.007).Conclusion The prevalence of dementia in rural areas of Xi'an increased significantly over the 17 years,but the mortality rate decreased,and this trend was more obvious in women.

Objective To investigate the relationship between baseline serum lipid levels and cognitive decline after a 4-year follow-up in a cohort of middle-aged and elderly people in rural Xi'an.Methods The data were collected from the cognitive impairment cohort of middle-aged and elderly people in rural areas of Xi'an,Shaanxi Province.The cohort selected the population ≥40 years old in two villages of Huyi District,Xi'an,as the research subjects.The baseline survey was completed from October 2014 to March 2015,and two follow-up visits were conducted in 2016 and 2018.The Mini-Mental State Examination(MMSE)was applied to assess the overall cognitive function.The MMSE score dropping between the 2014 and 2018(△MMSE)≥2 points were defined as cognitive decline.Baseline lipid levels[total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-c),low-density lipoprotein cholesterol(LDL-c)]were converted into three classification data based on 25％quantile and 75％quantile[Q1(≤25％)vs.Q2-Q3(25％-75％)vs.Q4(≥75％)],and using the Q2-Q3 group as the reference group.The relationship between serum lipid levels and cognitive decline at baseline was analyzed by multivariate Logistic regression.Interaction effect analysis and subgroup analysis were made to investigate the interaction effect of age(＜65 years vs.≥65 years)on the relationship between serum lipid and cognitive decline.Results There were 1 349 participants with complete baseline data,and 235(17.42％)were ≥65 years old at baseline;230 cases(17.05％)had cognitive decline.No significant association was found between TC,TG,LDL-c,HDL-c and cognitive decline in subgroups＜65 years of age.In the subgroup ≥65 years of age,the Q1(≤4.37 mmol/L)group of TC was not significantly associated with the risk of cognitive decline compared with the Q2-Q3(4.37-5.61 mmol/L)group of TC,but the Q,(≥5.61 mmol/L)group of TC was significantly associated withan increased risk of cognitive decline(OR=2.519,95％CI:1.217-5.214,P=0.013).Age had an interactive effect on the relationship between the Q4 group of TC and cognitive decline(OR=2.202,95％CI:1.111-4.363,P=0.024).Compared with the Q2-Q3(1.03-2.01 mmol/L)group of TG,the Q,(≤ 1.03 mmol/L)group of TG was associated with a lower risk of cognitive decline(OR=0.318,95％CI:0.120-0.838,P=0.020).Age had an interactive effect on the relationship between the Q1 group of TG and cognitive decline(OR=0.344,95％CI:0.132-0.896,P=0.029).However,there was no significant correlation between the Q4(≥2.01 mmol/L)group of TG and the risk of cognitive decline.Compared with the Q2-Q3(2.70-3.81 mmol/L)group of LDL-c,the Q1(≤ 2.70 mmol/L)group of LDL-c was not significantly associated with the risk of cognitive decline,but the Q4(≥3.81 mmol/L)group of LDL-c had significant association with an increased risk of cognitive decline(OR=2.367,95％CI:1.143-4.900,P=0.020).Age had an interactive effect on the relationship between the Q4 group of LDL-c and cognitive decline(OR=2.237,95％CI:1.134-4.415,P=0.020).No significant association was found between HDL-c and cognitive decline.Conclusion No significant association was found between HDL-c and cognitive decline at baseline.The relationship of TC,TG and LDL-c with cognitive decline was affected by age.Only in participants over 65 years old,the risk of cognitive decline was higher in those with high baseline levels of TC and LDL-c.Those with low baseline serum TG levels had a lower risk of cognitive decline.

Objective To investigate the relationship between type 2 diabetes mellitus(T2DM)and cognitive decline.Methods Data were obtained from the cognitive impairment cohort of middle-aged and elderly population in rural areas of Xi'an City.The cohort consisted of residents aged 40 years and older in two villages of Huyi District,Xi'an.The baseline survey was completed between October 2014 and March 2015,with two follow-up visits in 2016 and 2018.The present study was conducted on cognitively normal people at baseline.Individual characteristics,lifestyle,and medical history were collected;physical and biochemical examinations were completed.According to medical history of T2DM and fasting blood glucose,the study population was divided into non-T2DM group,pre-existing T2DM group,and new-onset T2DM group.The Mini-Mental State Examination(MMSE)was used to assess global cognitive function.Participants with a drop of≥2 points in MMSE score from baseline after 4 years were defined as having cognitive decline.Chi-square test and multivariate Logistic regression analysis were employed to analyze the effect of T2DM status on the risk of cognitive decline.Results A total of 1 350 subjects completed the follow-up.In the follow-up population,1 096(81.2％)were free of T2DM,158(11.7％)already had T2DM at baseline,and 96(7.1％)developed new-onset T2DM during the follow-up.Cognitive decline was observed in 230 individuals after 4 years,representing 17.0％of the study population.The new-onset T2DM group had the highest 4-year incidence of cognitive decline(non-T2DM group vs.pre-existing T2DM group vs.new-onset T2DM group:15.7％vs.20.9％vs.26.0％,P=0.014),and the incidence of cognitive decline in the newly-onset T2DM group was significantly higher than that in the non-T2DM group(P=0.009).Multivariate Logistic regression analysis showed that the new-onset T2DM group had an increased risk of cognitive decline compared with the non-T2DM group within 4 years(OR=1.726,95％CI:1.029-2.896,P=0.039).However,no significant difference in 4-year risk of cognitive decline in the pre-existing T2DM group was observed(OR=1.402,95％CI:0.890-2.210,P=0.145).Conclusion Through the 4-year follow-up study of cognitively normal adults aged 40 and above in rural Xi'an,it was found that new-onset T2DM patients face a significantly elevated risk of cognitive decline,suggesting that cognitive decline may occur in the early stage of T2DM.

Objective To investigate the effect of lifestyle on cognitive decline in rural people aged 40 years and older in Xi'an.Methods This was a prospective cohort study.People aged 40 years and older in two villages in Huyi District were selected as the study population.They completed the baseline survey from October 2014 to March 2015 as well as two follow-up visits in 2016 and 2018,respectively.A comprehensive score of lifestyle was calculated based on factors including smoking,drinking,exercise,and diet collected at the baseline.The Mini-Mental State Examination(MMSE)was used to evaluate global cognitive function at both baseline and follow-up;a≥4-point decrease in MMSE score from the baseline was defined as marked cognitive decline.Multivariable Logistic regression,propensity score correction,and propensity score matching were used to investigate the relationship between lifestyle and cognitive decline.Results A total of 1 348 participants were ultimately enrolled and 56(4.2％)of them met the criteria for marked cognitive decline(△MMSE≥4-points).Among them,386(28.6％)people had smoking history,184(13.6％)were drinkers,214(15.9％)lacked physical activity,and 400(29.7％)ate a diet high in oil and salt.Generally,304(22.6％)met the definition of the unhealthy lifestyle(comprehensive score＜6),which means more than one of the four subscales was unhealthy or more than two were relatively unhealthy.Multivariable Logistic regression analysis showed that unhealthy lifestyle was positively associated with marked cognitive decline(OR=2.838,95％CI:1.302-5.525,P=0.005).Propensity-score adjusted model yielded very similar results(OR=2.786,95％CI:1.371-5.661,P=0.005).Propensity score matching was performed to further balance the differences in covariates between the two groups.Multivariate Logistic regression analysis conducted in the matched population revealed that the risk of marked cognitive decline was still higher in those with unhealthy lifestyle(OR=3.994,95％CI:1.582-12.176,P=0.006).Conclusion Unhealthy lifestyle is associated with an increased risk of cognitive decline in cognitively normal people aged 40 years and older.

Objective To explore the relationship between carotid atherosclerosis(CAS)and cognitive impairment in the stroke high-risk population aged 40 years and above in the rural area of Xi'an City and determine whether CAS is a risk factor for cognitive impairment.Methods In this study,stroke high-risk population found in the Community and Rural Population Stroke High-risk Group Screening and Intervention Project carried out in Huyi District,Xi'an City,from October 2014 to March 2015 were selected as the research subjects.Color Doppler ultrasound was used to evaluate CAS,and CAS was defined as:carotid intima-media thickness(CIMT)≥1.0 mm,or carotid arteries(including common carotid artery,carotid sinus,internal carotid artery,and external carotid artery)have atherosclerotic plaques,or carotid stenosis.Mini-Mental State Examination(MMSE)was used to assess cognitive function.The MMSE score lower than the cut-off value(illiteracy ≤17,primary school ≤ 20 points,and junior high school and above education level ≤24 points)is defined as cognitive impairment.The study population was grouped according to the presence of CAS or cognitive impairment;univariate difference test and bivariate logistic regression were used to analyze the relationship between CAS and cognitive impairment.Results A total of 451 subjects were included in the analysis.The average age of the subjects was(58.7±9.83)years old,and 44.3％were female.Among them,329 cases(72.9％)had CAS and 57 cases(12.6％)met the diagnostic criteria for cognitive impairment.The prevalence of cognitive impairment in CAS group was significantly higher than that in non-CAS group(14.6％vs.7.4％,P=0.041).Multivariate logistic regression analysis showed that cognitive impairment was significantly correlated with age(OR=1.121,95％CI:1.056-1.189,P＜0.001),but not with CAS(OR=1.008,95％CI:0.202-5.170,P=0.992).Conclusion No significant association between CAS and cognitive impairment was found in high stroke risk group aged 40 and above in rural areas of Xi'an.

Objective To analyze the relationship between apolipoprotein E(APOE)genotype and cognitive impairment among individuals aged 40 and above in rural Xi'an and to explore the potential influence of education on this relationship.Methods All permanent residents aged 40 and above from two villages in Huyi District,Xi'an City,were selected as research subjects,employing a cross-sectional survey approach.The Mini-Mental State Examination(MMSE)was utilized to assess overall cognitive function,with MMSE scores below the threshold values(illiterate ≤17,primary school ≤20,junior high and above ≤24)considered as cognitive impairment.Fasting elbow venous blood was drawn in the morning,and the APOE genotype was determined.The population was divided into low-education(LE,≤9 years)and high-education(HE,＞9 years)groups based on educational level.Univariate and multivariate analyses were applied to explore the association between APOE genotype and cognitive impairment,as well as MMSE scores in both the total and stratified populations.Results Out of the 1 692 participants,there were 263 APOE ε4 allele carriers(E2/4,E3/4,E4/4)(15.3％),and 205 individuals met the criteria for cognitive impairment(12.1％).Multivariate Logistic regression and linear regression analyses revealed that in both the total population and the LE population,compared to APOE ε4 allele non-carriers(E2/2,E2/3,E3/3),APOE ε4 allele carriers exhibited a higher risk of cognitive impairments(total population:OR=1.509,95％CI:1.030-2.211,P=0.035;LE:OR=1.604,95％CI:1.080-2.381,P=0.019),and their MMSE scores were lower(total population:β=-0.053,95％CI:-0.983--0.162,P=0.006;LE:β=-0.052,95％CI:-1.052--0.124,P=0.013).However,in the HE population,there was no statistically significant difference in the prevalence of cognitive impairment(OR=1.883,95％CI:0.254-13.980,P=0.536)and MMSE scores(β=0.001,95％CI:-0.635-0.642,P=0.992)between APOE ε4 allele carriers and non-carriers.Conclusion The APOE ε4 allele was associated with an increased risk of cognitive impairment in individuals aged 40 and above in rural areas of Xi'an,while HE attainment may offer protective effects against cognitive impairment in APOE ε4 allele carriers.