Objective To investigate the predictive value of triglyceride glucose-body mass index(TyG-BMI),serum triglyceride-to-high-density lipoprotein cholesterol ratio(TG/HDL-C),and metabolic score for insulin resistance(METS-IR)for fatty pancreatic disease(FPD).Methods A total of 240 patients with FPD treated in The First Affiliated Hospital of Zhengzhou University from January 2020 to November 2023 were included as the case group,while 480 healthy subjects who underwent healthy checks in the same period were randomly selected as the control group.General clinical data and laboratory indicators were collected.The Mann-Whitney U test and chi-square test were used to compare non-normally distributed continuous variables,and categorical variables between groups,respectively.A binary logistic regression model was used to assess the relationship between TyG-BMI,TG/HDL-C,and METS-IR and FPD.The receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate the predictive diagnostic value of those simplified insulin resistance indicators for FPD in the general population and different sex populations.Results Age,BMI,systolic blood pressure,diastolic blood pressure,fasting plasma glucose,uric acid,alanine aminotransferase,aspartate aminotransferase,gamma-glutamyl transferase,total cholesterol,triglyceride,low-density lipoprotein cholesterol,TyG-BMI,TG/HDL-C,and METS-IR in the case group were significantly higher than those in the control group(all P<0.05).The case group had significantly higher proportions of individuals with hypertension,diabetes,and fatty liver disease than the control group(all P<0.05).The high-density lipoprotein cholesterol level was significantly lower in the case group than in the control group(P<0.05).The multivariable Logistic regression analysis showed that after adjusting for various influencing factors,TyG-BMI,TG/HDL-C,and METS-IR remained as independent risk factors for the development of FPD,with the odds ratios(95%confidence intervals)being 1.027(1.018-1.037),6.964(2.022-23.989),and 1.184(1.123-1.248),respectively.In the ROC curve analysis,the AUCs of METS-IR and TyG-BMI were 0.823 and 0.803,respectively,with their sensitivities being 76.3%and 75.8%,specificities being 74.6%and 71.7%,and optimal cut-off values being 34.86 and 196.70,respectively;the next were BMI(AUC=0.758)and TG/HDL-C(AUC=0.734);in the sex-stratified analysis,the AUC values of METS-IR were highest in both the male and female subgroups,which were 0.834 and 0.810,respectively.Conclusion TyG-BMI,TG/HDL-C,and METS-IR show good predictive value for the development of FPD,in which METS-IR is more excellent.

Objective:To investigate the influence of ballet training on walking parameters of children with spastic cere-bral palsy.Method:A total of 24 children with cerebral palsy were selected and randomly grouped by 1:1 matching according to similar age,same sex and GMFCS grading,namely 12 cases in the experimental group and 12 cases in the control group.The experimental group received ballet training combined with conventional rehabilitation treatment,and the control group received conventional rehabilitation treatment.The intervention time was 3 months.Three-dimensional gait analysis technology was used to collect the subjects'kinematic and dynamic parameters and gait deviation index(GDI)before and after the intervention,and to analyze the difference of efficacy between the two groups.Result:There was no significant difference in kinematics,dynamics and GDI between the two groups before treatment.Comparison between the two groups after treatment:Kinematic parameters:before and after interven-tion,maximum flexion angle of bilateral hip joint in the brace phase,maximum extension angle of bilateral hip joint,maximum flexion angle of right hip joint in the swing phase,maximum extension angle of right hip joint and maximum plantar flexion angle of right ankle in the experimental group had no obvious differenc-es(P<0.05).Dynamic parameters:Before and after intervention,the maximum plantar flexion moment of the left ankle in the supporting phase and the shock absorption capacity of the left ankle had significant differences(P<0.05).After intervention,there were significant differences between the two groups:maximum plantar flex-ion moment of the right ankle in the support phase,maximum work of the right hip joint,maximum reaction force on the left side and shock absorption capacity of bilateral ankle joints(P<0.05).Conclusion:Ballet training combined with conventional rehabilitation therapy can significantly improve the function of hip extension muscle,hip flexor muscle and foot flexor muscle in the children with spastic CP,and the efficacy is better than conventional rehabilitation training.This study provides a new idea for dance therapy of CP children in the future.

Objective To clarify the concept of caregiver fatigue in an aging society and to provide references in the elderly people nursing.Methods Literature on caregiver fatigue was systematically retrieved from databases of China National Knowledge Infrastructure(CNKI),Wanfang Data,Chinese Biomedical Literature Database,PubMed,EMbase,Scopus,and Web of Science from the inception to June 15th 2024.Walker and Avant's framework for concept analysis was performed to analyse the retrieved literature.Results Forty-one papers were included in the study.Caregiver fatigue was identified to comprise of five defining attributes:simultaneous physical and psychological burden,subjective perception,changing over time,negative impact arising from caregiving,and negative impact on both caregivers and care recipients.Antecedents included three perspectives:caregiver-related,care-recipient-related and environmental,The consequences included an impact on both the caregiver and the person being cared for.Empirical assessment indicators of fatigue include the checklist individual strength(CIS)and the fatigue assessment instrument(FAI)and fatigue scale-14(FS-14,FS-14).Conclusion Walker and Avant's conceptual analysis identifies five attributes of caregiver fatigue.Nurses should pay attention to and evaluate the degree of caregiver fatigue from multiple perspectives,thereby effectively identifying and intervening in the fatigue as early as possible.

Objective To clarify the concept of caregiver fatigue in an aging society and to provide references in the elderly people nursing.Methods Literature on caregiver fatigue was systematically retrieved from databases of China National Knowledge Infrastructure(CNKI),Wanfang Data,Chinese Biomedical Literature Database,PubMed,EMbase,Scopus,and Web of Science from the inception to June 15th 2024.Walker and Avant's framework for concept analysis was performed to analyse the retrieved literature.Results Forty-one papers were included in the study.Caregiver fatigue was identified to comprise of five defining attributes:simultaneous physical and psychological burden,subjective perception,changing over time,negative impact arising from caregiving,and negative impact on both caregivers and care recipients.Antecedents included three perspectives:caregiver-related,care-recipient-related and environmental,The consequences included an impact on both the caregiver and the person being cared for.Empirical assessment indicators of fatigue include the checklist individual strength(CIS)and the fatigue assessment instrument(FAI)and fatigue scale-14(FS-14,FS-14).Conclusion Walker and Avant's conceptual analysis identifies five attributes of caregiver fatigue.Nurses should pay attention to and evaluate the degree of caregiver fatigue from multiple perspectives,thereby effectively identifying and intervening in the fatigue as early as possible.

Objective:To investigate the influence of ballet training on walking parameters of children with spastic cere-bral palsy.Method:A total of 24 children with cerebral palsy were selected and randomly grouped by 1:1 matching according to similar age,same sex and GMFCS grading,namely 12 cases in the experimental group and 12 cases in the control group.The experimental group received ballet training combined with conventional rehabilitation treatment,and the control group received conventional rehabilitation treatment.The intervention time was 3 months.Three-dimensional gait analysis technology was used to collect the subjects'kinematic and dynamic parameters and gait deviation index(GDI)before and after the intervention,and to analyze the difference of efficacy between the two groups.Result:There was no significant difference in kinematics,dynamics and GDI between the two groups before treatment.Comparison between the two groups after treatment:Kinematic parameters:before and after interven-tion,maximum flexion angle of bilateral hip joint in the brace phase,maximum extension angle of bilateral hip joint,maximum flexion angle of right hip joint in the swing phase,maximum extension angle of right hip joint and maximum plantar flexion angle of right ankle in the experimental group had no obvious differenc-es(P<0.05).Dynamic parameters:Before and after intervention,the maximum plantar flexion moment of the left ankle in the supporting phase and the shock absorption capacity of the left ankle had significant differences(P<0.05).After intervention,there were significant differences between the two groups:maximum plantar flex-ion moment of the right ankle in the support phase,maximum work of the right hip joint,maximum reaction force on the left side and shock absorption capacity of bilateral ankle joints(P<0.05).Conclusion:Ballet training combined with conventional rehabilitation therapy can significantly improve the function of hip extension muscle,hip flexor muscle and foot flexor muscle in the children with spastic CP,and the efficacy is better than conventional rehabilitation training.This study provides a new idea for dance therapy of CP children in the future.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

Objective To investigate the predictive value of triglyceride glucose-body mass index(TyG-BMI),serum triglyceride-to-high-density lipoprotein cholesterol ratio(TG/HDL-C),and metabolic score for insulin resistance(METS-IR)for fatty pancreatic disease(FPD).Methods A total of 240 patients with FPD treated in The First Affiliated Hospital of Zhengzhou University from January 2020 to November 2023 were included as the case group,while 480 healthy subjects who underwent healthy checks in the same period were randomly selected as the control group.General clinical data and laboratory indicators were collected.The Mann-Whitney U test and chi-square test were used to compare non-normally distributed continuous variables,and categorical variables between groups,respectively.A binary logistic regression model was used to assess the relationship between TyG-BMI,TG/HDL-C,and METS-IR and FPD.The receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate the predictive diagnostic value of those simplified insulin resistance indicators for FPD in the general population and different sex populations.Results Age,BMI,systolic blood pressure,diastolic blood pressure,fasting plasma glucose,uric acid,alanine aminotransferase,aspartate aminotransferase,gamma-glutamyl transferase,total cholesterol,triglyceride,low-density lipoprotein cholesterol,TyG-BMI,TG/HDL-C,and METS-IR in the case group were significantly higher than those in the control group(all P<0.05).The case group had significantly higher proportions of individuals with hypertension,diabetes,and fatty liver disease than the control group(all P<0.05).The high-density lipoprotein cholesterol level was significantly lower in the case group than in the control group(P<0.05).The multivariable Logistic regression analysis showed that after adjusting for various influencing factors,TyG-BMI,TG/HDL-C,and METS-IR remained as independent risk factors for the development of FPD,with the odds ratios(95%confidence intervals)being 1.027(1.018-1.037),6.964(2.022-23.989),and 1.184(1.123-1.248),respectively.In the ROC curve analysis,the AUCs of METS-IR and TyG-BMI were 0.823 and 0.803,respectively,with their sensitivities being 76.3%and 75.8%,specificities being 74.6%and 71.7%,and optimal cut-off values being 34.86 and 196.70,respectively;the next were BMI(AUC=0.758)and TG/HDL-C(AUC=0.734);in the sex-stratified analysis,the AUC values of METS-IR were highest in both the male and female subgroups,which were 0.834 and 0.810,respectively.Conclusion TyG-BMI,TG/HDL-C,and METS-IR show good predictive value for the development of FPD,in which METS-IR is more excellent.

Objective: To understand the relationship between stress and Internet addiction among middle school students in Shanghai, so as to provide a scientific basis for promoting students mental health and preventing Internet addiction. Methods: From May to June 2021, a stratified random cluster sampling method was used to select 6 123 middle and high school students in Shanghai for health risk behavior monitoring. Daily Stressors Evaluation Scale for Urban Secondary School Students was used to evaluate students' stress, and the Internet Addiction Test compiled by Young was used to evaluate students Internet addiction. The correlation between student stress and Internet addiction was analyzed by Kruskal-Wallis H test , Chi square test and multiple Logistic regression. Results: Total stress score of middle school students in Shanghai was 24 (12, 39), academic stress score was 8 (5, 13), physical and psychological stress score was 6 (2, 10), interpersonal stress score was 5 (1, 9), and family stress score was 4 (1, 8). The detection rate of Internet addiction was 4.7%. Multivariate Logistic regression analysis showed that the risk of Internet addiction among middle school students with high levels of stress was 8.05 times(95% CI =4.59-14.12) that of students with low levels of stress( P <0.05). The risk of Internet addiction among middle school students with high levels of academic stress, physical and psychological stress, interpersonal stress and family stress was 5.98(95% CI =3.69-9.70), 6.92(95% CI =4.03-11.88), 4.85(95% CI =3.11-7.55), and 4.18(95% CI =2.73-6.40) times that of students with low levels of stress, respectively( P <0.05). Conclusion The academic stress, physical and psychological stress, interpersonal stress, and family stress among middle school students can all lead to an increased risk of Internet addiction.

Objective: To explore the association between dietary behaviors and sleep duration among middle school students in Shanghai, so as to provide reference for interventions targeting insufficient sleep. Methods: From May to June 2021, a stratified cluster random sampling method was employed to select a sample of 10-17yearold middle school students for monitoring their healthrisk behaviors. A total of 5 538 valid questionnaires were collected. The survey included items such as daily sleep duration, weekly consumption of sugary beverages, freshly squeezed fruit juice, fresh fruits, fresh vegetables, fried foods, milk and yogurt, breakfast habits, and frequency of eating outside. Statistical analysis was conducted using Chisquare test, Wilcoxon ranksum test, and multivariable Logistic regression model. Results: About 73.7% of middle school students reported insufficient sleep in Shanghai. There was a positive correlation between the average daily consumption of fresh fruits and breakfast consumption with sleep duration. In other words, a higher frequency of consuming fresh fruits (OR=1.29) and eating breakfast (OR=1.07) were associated with a higher likelihood of sufficient sleep. Conversely, there was a negative correlation between the frequency of consuming desserts (OR=0.78) and fried foods (OR=0.88) and sleep duration (P<0.05). Conclusions Increasing the consumption of fresh fruits and maintaining regular breakfast habits while reducing the intake of fried foods can contribute to achieving sufficient sleep among middle school students. When implementing interventions to improve sleep among middle school students, promoting healthy and balanced diets can be considered as one of the intervention strategies.

Objective: To explore the current status and associated factors of bullying behavior among middle school students in Shanghai, so as to provide a reference basis for carrying out bullying intervention work. Methods: From May to June 2021, a stratified cluster sampling method was used to select 19 000 middle school students from 63 schools in 16 districts of Shanghai, and the Shanghai Youth Health Risk Behavior Survey Questionnaire was used to conduct an anonymous questionnaire survey of enrolled students. Chi square test and binary Logistic regression analysis were employed to investigate the associated factors of bullying among middle school students. Results: The prevalence of bullying behaviors in Shanghai was 15.5%, with males and junior high school students exhibiting the higher reporting rate(19.5%,17.2%). And malicious teasing or name calling had the highest reported rate at 9.4%. The results of binary Logistic regression analysis showed that fighting ( OR =5.02), attempting to smoke ( OR =3.22), having a feeling of sadness and hopelessness ( OR =2.50) and getting drunk( OR =1.72) were positively associated with bullying behavior among middle school students. Fighting ( OR =3.83-8.97), attempting to smoke ( OR =2.92-5.52), having a feeling of sadness and hopelessness ( OR =2.40-4.34), and getting drunk ( OR =1.66-2.34) were positively correlated with 6 forms of bullying (malicious teasing or name calling, intentionally damaging someone else s belongings, deliberately excluding someone from activities or isolating someone, threatening or intimidating others, hitting, kicking, or pushing someone, and verbally harassing or attacking someone online) ( P <0.05). Conclusions Bullying behavior of middle school students in Shanghai primarily presents as verbal harassment. In the future, greater attention should be directed towards bullies, and it should recognize potential hazards promptly and implement precise intervention measures.