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 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: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female

Objective:To develop a formula correlating body weight and the insertion length of peripherally inserted central catheters (PICC) in very low birth weight infants (VLBWI) undergoing lower limb PICC placement, aiming to improve the success rate of one-time catheter placement.Methods:A prospective research method was adopted, 205 VLBWI patients who were hospitalized in the NICU of Shenzhen Maternal and Child Health Hospital from May 2023 to February 2024 and had indwelling PICC in the lower extremities were selected as the research subjects using the convenience sampling method. Data including gender, insertion vein, body weight on the day of catheterization, and the vertical distance from the puncture site to the first popliteal crease were collected. Pearson correlation analysis and linear regression analysis were used to construct a predictive formula for estimating the insertion length of PICC based on body weight. The Bland-Altman plot was applied to evaluate the consistency between the predicted insertion depth using the formula and the actual correct insertion length.Results:A total of 182 VLBWI were included in the study, comprising 102 male infants and 80 female infants. The catheterization sites were the right lower extremity in 166 cases and the left lower extremity in 16 cases. The body weight was (1.08 ± 0.26) kg. The vertical distance from the puncture site to the first popliteal crease was (5.58 ± 1.72) cm. The prediction formula for the length of lower extremity PICC catheterization was constructed through linear regression analysis: PICC insertion length = 8.013 + [5.194×body weight (kg)] ± vertical distance from the puncture site to the popliteal crease (cm). Consistency evaluation showed good agreement between the predicted insertion depth and the actual correct insertion length, with 95% of the measurement differences falling within the limits of agreement. The mean difference was 0.07 cm ( P > 0.05). Conclusions:The weight-based formula derived for VLBWI provides a basis for predicting the optimal insertion length of PICC in clinical practice.

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:To develop a formula correlating body weight and the insertion length of peripherally inserted central catheters (PICC) in very low birth weight infants (VLBWI) undergoing lower limb PICC placement, aiming to improve the success rate of one-time catheter placement.Methods:A prospective research method was adopted, 205 VLBWI patients who were hospitalized in the NICU of Shenzhen Maternal and Child Health Hospital from May 2023 to February 2024 and had indwelling PICC in the lower extremities were selected as the research subjects using the convenience sampling method. Data including gender, insertion vein, body weight on the day of catheterization, and the vertical distance from the puncture site to the first popliteal crease were collected. Pearson correlation analysis and linear regression analysis were used to construct a predictive formula for estimating the insertion length of PICC based on body weight. The Bland-Altman plot was applied to evaluate the consistency between the predicted insertion depth using the formula and the actual correct insertion length.Results:A total of 182 VLBWI were included in the study, comprising 102 male infants and 80 female infants. The catheterization sites were the right lower extremity in 166 cases and the left lower extremity in 16 cases. The body weight was (1.08 ± 0.26) kg. The vertical distance from the puncture site to the first popliteal crease was (5.58 ± 1.72) cm. The prediction formula for the length of lower extremity PICC catheterization was constructed through linear regression analysis: PICC insertion length = 8.013 + [5.194×body weight (kg)] ± vertical distance from the puncture site to the popliteal crease (cm). Consistency evaluation showed good agreement between the predicted insertion depth and the actual correct insertion length, with 95% of the measurement differences falling within the limits of agreement. The mean difference was 0.07 cm ( P > 0.05). Conclusions:The weight-based formula derived for VLBWI provides a basis for predicting the optimal insertion length of PICC in clinical practice.

Objective:To analyze the changes in the prevalence characteristics of multimorbidity among adolescents aged 13-18 in Inner Mongolia Autonomous Region from 2019 to 2022 and to explore the association between multimorbidity and moderate to high-intensity physical activity among them.Methods:A stratified random cluster sampling method was used to select students aged 13-18 in Inner Mongolia Autonomous Region every September from 2019 to 2022. Physical examinations, demographic characteristics, and depression-related surveys were conducted to analyze the multimorbidity of overweight, obesity, high blood pressure, myopia, spinal curvature abnormality, and depression. A logistic regression model was used to analyze the association between multimorbidity and moderate to high-intensity physical activity.Results:From 2019 to 2022, 70 972, 62 923, 80 254, and 78 288 study subjects were included, with the rates of multimorbidity being 56.4%, 55.4%, 57.2%, and 55.8%, respectively. The rates of multimorbidity remained relatively stable from 2019 to 2022 ( χ2=0.06, P=0.950). The incidence of multimorbidity among girls was significantly higher than that among boys ( P<0.001). The incidence of multimorbidity among urban students was significantly higher than that among suburban students ( P<0.001). The incidence of multimorbidity among high school students was higher than that among middle school students ( P<0.001). The top three multimorbidity combinations were myopia and overweight/obesity (26.4%), myopia and high blood pressure (24.4%), and myopia and depression (19.8%), while the least common combination was depression and spinal curvature abnormality (1.1%). The multimorbidity patterns showed no significant differences between years ( χ2=0.03, P=0.999). The multimorbidity status was significantly associated with the status of meeting the standard of moderate to high-intensity physical activity ( OR=0.83, 95% CI: 0.80-0.86). The association was stronger in boys ( OR=0.77, 95% CI: 0.73-0.81) compared with girls ( OR=0.90, 95% CI: 0.85-0.96), with a significant interaction term ( P<0.001). Conclusion:From 2019 to 2022, the incidence of multimorbidity among adolescents aged 13 to 18 in Inner Mongolia Autonomous Region is relatively high, mainly due to the co-occurrence of myopia and other health problems. Adequate physical activity is an important factor in reducing multimorbidity.

Objective: To explore the association between mental health and muscle strength among Chinese adolescents aged 13- 18, providing a theoretical foundation and intervention strategies for mental health promotion. Methods: Data were obtained from the 2019 Chinese National Survey on Students Constitution and Health, including 98 631 Chinese adolescents aged 13- 18. Psychological distress was assessed by using the Kessler Psychological Distress Scale (K10), and mental well being was measured with the Warwick-Edinburgh Mental Well being Scale (WEMWBS). Based on the gender and age specific Z scores of various test items [grip strength, standing long jump, pull ups (for males), and sit ups (for females)], muscle strength index (MSI) was constructed to evaluate the comprehensive level of muscle strength in adolescents. According to the Dual factor Model (DFM) of mental health, participants were categorized into four groups:troubled, symptomatic but content, vulnerable, and complete mental health. Gender differences were analyzed by using Chi-square tests, trends were tested with Cochran-Armitage tests, and multinomial Logistic regression models were applied to assess associations between muscle strength and mental health among adolescents. Results: In 2019, 37.4% of Chinese adolescents aged 13-18 were reported of high mental distress, and 59.9% were reported of low mental well being. Boys had significantly lower rates of high mental distress (35.3%) and low mental well being (55.6%) compared to girls (39.4%, 64.3%), and the differences were of statistical significance ( χ 2=176.13, 780.42, both P <0.05). In 2019, the rate of complete mental health among adolescents showed a downward trend with increasing age ( χ 2 trend = 258.47) and a gradual upward trend with increasing muscle strength levels ( χ 2 trend =123.14)，and both boys and girls exhibited similar trends ( χ 2 trend =103.83, 168.46; 57.00 , 67.34) (all P <0.05). The results of the unordered multiclass Logistic regression model showed that after controlling for confounding factors such as age and gender, when the completely pathological group as a reference, for every 1 unit increase in MSI in adolescents, the likelihood of being in a completely mental health state increased by 29% ( OR = 1.29); for every unit increase in the Z-score for pull ups, the likelihood of being in a completely mental health state increased by 6% ( OR =1.06) among boys; for every 1 unit increase in sit up Z score, the likelihood of being in a completely mental health state increased by 19% ( OR =1.19) among girls (all P <0.05). Conclusions The mental health status of Chinese adolescents is not good enough. Muscle strength is positively associated with mental health.

Objective: To systematically review the development and changes in mental health policies within the National Outline for Children s Development in China from 1992 to 2030, providing a reference basis for future formulation of mental health policies among children and adolescent in China. Methods: Based on the four editions of the National Outline for Children s Development in China across different periods from 1992 to 2030, word frequency analysis was used to reveal shifts in policy priorities, and an internationally recognized framework for adolescent health policy analysis was applied to conduct a textual review. Results: Word frequency analysis revealed that the term "psychological" appeared 6 times in the National Outline for Children s Development in China (2001-2010) but increased to 20 times in the National Outline for Children s Development in China (2021-2030) (abbreviated as the National Outline of 2021), while the term "health" rose from 4 times in the National Outline for Children s Development Plan in China in the 1990s to 68 times in the National Outline of 2021. The scope of mental health policy interventions expanded to encompass five key areas:health, safety, education, welfare and legal protection. Textual analysis highlighted that the policies of the National Outline for Children s Development in China were demand driven, prioritized vulnerable groups and continuously broadened their coverage, emphasizing sustainability and appropriateness, and monitoring/evaluation mechanisms. By 2023, 42.3% of primary schools and 64.8% of secondary schools employed full time mental health education teachers. However, the National Outline for Children s Development in China lacked direct evidence of children and adolescents participation in policy formulation, and publicly available mental health data disaggregated by age and gender remained limited. Conclusion Mental health policies of children and adolescents in China have evolved from nonexistence to gradual refinement, yet institutionalized channels for youth involvement in policy development and evaluation remain insufficient, and transparency in age and gender specific mental health data needs improvement.