Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

Objective::Elderly individuals are at high risk for stroke. With China transitioning into an aging society, it is essential to implement measures to prevent stroke in the middle-aged and elderly. This study aimed to investigate the prevalence and associated factors of stroke in middle-aged and older Chinese individuals using national survey data from the China Health and Retirement Longitudinal Study.Methods::This cross-sectional study used data from the 2015 China Health and Retirement Longitudinal Survey. Participants without complete data on stroke and its associated factors—including demographics, health behaviors, and disease-related factors—were excluded. Independent samples t-test and χ2 test were used to examine differences in associated factors between the stroke and non-stroke groups. Variables with P-values ≤0.1 in all univariate comparisons were included in the final binary logistic regression model to identify the independent factors associated with stroke. Results::A total of 11,969 participants were included in this study. The prevalence of stroke in middle-aged and older individuals in China was 2.170%. The most significant factors associated with stroke included smoking (odds ratio (OR): 1.471, 95% confidence interval (CI): 1.132-1.913), alcohol consumption (OR: 0.548, 95%CI: 0.405-0.743), nap time ≥30 min and < 60 min (OR: 0.502, 95%CI: 0.296-0.851), nap time ≥60 min and <90 min (OR: 0.703, 95%CI: 0.505-0.978), hypertension (OR: 3.310, 95%CI: 2.515-4.357), dyslipidemia (OR: 1.874, 95%CI: 1.446-2.428), and diabetes (OR: 1.424, 95%CI: 1.052-1.927).Conclusion::This study reveals a high prevalence of stroke in middle-aged and older people in China. Several factors, including smoking, alcohol consumption, nap time, hypertension, dyslipidemia, and diabetes, were identified as significant associated factors of stroke prevalence in this population. These findings can inform the development of stroke prevention strategies and health planning for middle-aged and older adults and provide insights for future research.

Objective::Elderly individuals are at high risk for stroke. With China transitioning into an aging society, it is essential to implement measures to prevent stroke in the middle-aged and elderly. This study aimed to investigate the prevalence and associated factors of stroke in middle-aged and older Chinese individuals using national survey data from the China Health and Retirement Longitudinal Study.Methods::This cross-sectional study used data from the 2015 China Health and Retirement Longitudinal Survey. Participants without complete data on stroke and its associated factors—including demographics, health behaviors, and disease-related factors—were excluded. Independent samples t-test and χ2 test were used to examine differences in associated factors between the stroke and non-stroke groups. Variables with P-values ≤0.1 in all univariate comparisons were included in the final binary logistic regression model to identify the independent factors associated with stroke. Results::A total of 11,969 participants were included in this study. The prevalence of stroke in middle-aged and older individuals in China was 2.170%. The most significant factors associated with stroke included smoking (odds ratio (OR): 1.471, 95% confidence interval (CI): 1.132-1.913), alcohol consumption (OR: 0.548, 95%CI: 0.405-0.743), nap time ≥30 min and < 60 min (OR: 0.502, 95%CI: 0.296-0.851), nap time ≥60 min and <90 min (OR: 0.703, 95%CI: 0.505-0.978), hypertension (OR: 3.310, 95%CI: 2.515-4.357), dyslipidemia (OR: 1.874, 95%CI: 1.446-2.428), and diabetes (OR: 1.424, 95%CI: 1.052-1.927).Conclusion::This study reveals a high prevalence of stroke in middle-aged and older people in China. Several factors, including smoking, alcohol consumption, nap time, hypertension, dyslipidemia, and diabetes, were identified as significant associated factors of stroke prevalence in this population. These findings can inform the development of stroke prevention strategies and health planning for middle-aged and older adults and provide insights for future research.

Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

Objective:To sinicize the Gerontological Nurse Teacher Scale (GeNTS) and to test reliability and validity of the Chinese version, so as to provide a scientific measuring tool for the ability assessment of geriatric nursing teachers in China.Methods:The scale was translated according to the Brislin model and revised to form the Chinese version. The Chinese version of the GeNTS was used to facilitate the sampling of 375 nursing students from Sichuan Vocational College of Health and Rehabilitation, Neijiang Health Vocational College, and Sichuan Nursing Vocational College from June to August, 2023. SPSS 23.0 was used to analyze the data, and the critical ratio method, homogeneity test, Cronbach α coefficient method were used for item analysis, expert content validity index was used for content validity, exploratory factor method was used for structural validity test, internal consistency reliability, folding reliability, and re-test reliability were used for reliability test, and AMOS 28.0 was used for validation factor analysis.Results:The Chinese version of the GeNTS had 30 entries, and five common factors were extracted by exploratory factor analysis, with a cumulative of 82.462%. Validated factor analysis showed that the χ2/ df = 2.501, root mean square error of qpproximation (RMSEA) = 0.051, stamdardized root mean square residual (SRMR) = 0.043, incremental fit index (IFI) = 0.968, and normed-fit index (NFI) = 0.956, all of which were in the acceptable range, and the content validity of the Chinese version of the GeNTS was 0.837, with a Cronbach alpha coefficient of 0.977, a folded half reliability of 0.924, and a retest reliability of 0.924. Conclusions:The Chinese version of the Gerontological Nurse Teacher Scale has good reliability and validity. It is usefull to assess the situation of elderly nursing teachers in stimulating students′career interest in China.

Objective: Based on physical activity (PA) and sedentary behavior (SB) variables on weekdays and weekends, the study aims to cluster the physical activities inside and outside kindergartens and to explore the cluster characteristics of different children using physical fitness indicators, so as to provide new strategies and methods for early childhood education and health. Methods: From March to June 2019, 291 children aged 3-6 years from 6 kindergartens in Nanchang were recruited by a stratified cluster random sampling method. The ActiGraph GT3X-BT triaxial accelerometer was used to measure and analyze the PA and SB levels inside and outside the kindergarten. A twostep clustering algorithm model was employed for cluster analysis. Physical fitness were measured and evaluated according to the "National Physical Fitness Measurement Standard Manual (Preschool Section)". Differences in physical fitness among different clusters of children were compared, and the cluster characteristics of different children were analyzed. Results: The clustering algorithm model indicated that based on six indicators, including PA and SB inside the kindergarten on weekdays, and PA and SB outside the kindergarten on both weekdays and weekends, children could be divided into three categories:active inside (high PA, low SB inside), active outside (high PA outside), and inactive (low PA, high SB both inside and outside). The average silhouette coefficient of the model was 0.3, indicating good clustering results. Both the active inside and active outside children showed significantly higher PA inside on weekdays, PA outside on weekdays and weekends, daily low intensity physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) than the inactive children ( F=157.91, 80.79 , 95.86, 95.52, 124.74, P <0.05). After adjusting for gender and age, the physical fitness scores of both active outside ( 19.03 ±0.47) and active inside (19.11±0.40) were significantly higher than those of the inactive children (17.94±0.31). Additionally, active inside children (3.91±0.14) also showed significantly better performance in continuous double-leg jumps, compared to inactive children (3.45±0.11) ( P <0.05). Conclusion Children active inside and those active outside perform well in PA. Future research should focus on the proportion of structured and unstructured PA time to enhance the overall physical fitness of children.

Objective: To investigate the effects of physical activity (PA) intensity and sedentary behavior (SB) on calcanues bone mineral density (BMD) in preschool children, so as to provide a basis for rationalizing the daily physical activity of preschool children to promote bone health. Methods: A total of 673 pre school children aged 3-6 years from nine kindergartens in Pingxiang City, Ganzhou City and Yingtan City of Jiangxi Province, were selected from September to December 2021 by using the whole stratified cluster random sampling method. The PA levels and SB were measured by using a three axis acceleration sensor, and left calcanues BMD was measured by an ultrasound bone densitometer. Multiple linear regression was used to explore the effects of changes in PA on calcanues BMD in pre school children of all ages. Results: Of the 673 preschoolers surveyed, 498 (74.0%) achieved an average of ≥60 min of moderate to vigorous physical activity (MVPA) per day, there were 265 boys (71.2%), and 233 girls ( 77.4 %). The difference between genders was not statistically significant ( χ 2=2.77, P >0.05). There was no statistically significant difference in the BMD test of the calcaneus bones of preschoolers by gender ( Z=0.42, P >0.05). The difference in BMD results of pre school children with 3, 4, 5 to 6 years was statistically significant ( H=2.65, P <0.05). Correlation analysis revealed a negative correlation between SB duration and calcaneus BMD ( r =-0.13), and a positive correlation between low intensity physical activity (LPA) duration, MVPA duration, and calcaneus BMD ( r =0.14, 0.25 ) ( P <0.05). Multivariate linear regression analysis showed that SB duration negatively correlated with calcaneus BMD, whereas LPA and MVPA duration positively correlated with calcaneus BMD ( P <0.05). Conclusions MVPA duration is positively correlated with the growth of BMD in the heel bone and negatively correlated with SB. The kindergartens can adjust their curricula according to the physical and mental developmental characteristics, gender and age differences of pre school children, increase the time of outdoor activities, and reduce the sedentary time to promote the bone health of young children.

Objective:To evaluate the optimization efficacy of anterior quadratus lumborum block at supra-arcuate ligament (SA-AQLB) combined with general anesthesia for laparoscopic gynecological surgery.Methods:Eighty American Society of Anesthesiologists physical status Ⅰ or Ⅱ patients, aged 28-64 yr, weighing 52-78 kg, with height of 154-166 cm, scheduled for elective laparoscopic gynecological surgery, were divided into general anesthesia group (group G, n=40) and SA-AQLB combined with general anesthesia group (group SG, n=40) using a random number table method.In group SG, bilateral SA-AQLB was performed under ultrasound guidance before anesthesia induction, and 0.4% ropivacaine 25 ml plus dexamethasone 5 mg was injected into both sides.Combined intravenous-inhalational anesthesia was applied in both groups.Patient-controlled intravenous analgesia (PCIA) with sufentanil 2 μg/kg (in 150 ml of normal saline) was performed after surgery.The PCIA pump was set up to deliver a 2 ml bolus dose with a 15-min lockout interval and background infusion at 2 ml/h.Visual analogue scale (VAS) scores for abdomen, pelvis and shoulder pain were recorded at 1, 6, 12, 24 and 48 h after operation.Flurbiprofen was used for rescue analgesia when VAS score >4.The occurrence of intraoperative cardiovascular events and amount of sufentanil used during operation were recorded.The time to first pressing the analgesia pump, effective pressing times of PCA, requirement for rescue analgesia and consumption of sufentanil after operation were recorded.The extubation time, time to first flatus after operation, first ambulation time, length of hospital stay and development of postoperative adverse reactions such as nausea and vomiting, urinary retention and respiratory depression within 48 h after operation were recorded. Results:Compared with group G, the incidence of intraoperative hypertension and tachycardia was significantly decreased, the incidence of intraoperative hypotension and bradycardia was increased, the intraoperative consumption of sufentanil was reduced, the extubation time was shortened, the time to first pressing the analgesia pump was prolonged, the effective pressing times of PCA, requirement for rescue analgesia and postoperative consumption of sufentanil were reduced, the time to first flatus, first ambulation time and length of hospital stay were shortened, VAS scores for abdomen, pelvis and shoulder pain were decreased at each time point after operation, and the incidence of nausea and vomiting, urinary retention and respiratory depression after operation was decreased in group SG ( P<0.01). Conclusions:Compared with general anesthesia, the combination of SA-AQLB and general anesthesia can reduce the opioid consumption, inhibit intraoperative stress responses and postoperative hyperalgesia and promote early postoperative recovery when used for the patients undergoing laparoscopic gynecological surgery.

The chronic disease management of rheumatoid arthritis has been popularized and applied in China. This article will review the application and research progress of different chronic disease management models, including chronic care mode, chronic disease self-management, transitional care mode, community-based chronic disease management, and "internet + chronic disease management" in rheumatoid arthritis patients in China, and compare the advantages and disadvantages of different intervention models, in order to provide a theoretical basis for exploring the chronic management of rheumatoid arthritis under different regional medical resources.

Objective:To explore the effect of intelligent chronic disease management system for rheumatoid arthritis patients under mobile terminal APP.Methods:From June 2018 to June 2021, 100 patients with rheumatoid arthritis treated in Mianyang Central Hospital were selected by convenience sampling. The 50 patients admitted from June 2018 to November 2019 were in the control group, and the 50 patients admitted from December 2019 to June 2021 were in the observation group. The control group received routine nursing, while the observation group implemented intelligent chronic disease management under mobile terminal APP on the basis of the control group. Six months after intervention, the awareness of disease health knowledge, self-management ability and rehabilitation indicators were compared between the two groups.Results:Six months after intervention, the awareness of disease health knowledge and self-management ability of the observation group were higher than those of the control group, and the differences were statistically significant ( P<0.05) . Six months after intervention, the rehabilitation indicators of the observation group were lower than those of the control group, with statistically significant differences ( P<0.05) . Conclusions:The intelligent chronic disease management system under mobile terminal APP can increase the recognition of disease health knowledge and self-management ability of rheumatoid arthritis patients, improve various rehabilitation indicators, and promote enhanced recovery of diseases.