Objective:To explore the current situation of balance function in elderly patients with chronic obstructive pulmonary disease (COPD) and analyze the related factors affecting balance function in COPD patients.Methods:In this study, data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) were selected as research data, and 593 COPD patients aged 60 years or older were selected as research objects by multi-stage stratified cluster sampling method. The balance function was evaluated by standing test with both feet in front and behind. COPD patients whose standing test reached 60 s were divided into the good balance group (n=194), and those who did not reach 60 s were divided into the poor balance group (n=399). The balance ability of COPD patients of the two groups was compared, and the influencing factors of balance ability of the patientss were analyzed by Logistic regression analysis.Results:Univariate analysis showed that there were significant differences in balance ability between two groups in terms of age, education, cognitive function, and peak expiratory flow (PEF). ( P<0.05). Logistic regression analysis showed that age, cognitive function and PEF were influencing factors of balance ability of COPD patients ( P<0.05) . Conclusions:Patients with COPD have poor balance function. Clinicians should pay attention to the evaluation of balance function in patients with COPD and take targeted intervention measures in time to reduce the risk of falls.

Objective:To evaluate the effects of different psychological interventions on depression and pain in patients with arthritis using the method of network Meta-analysis.Methods:Randomized controlled trials (RCTs) on psychological interventions for arthritis patients were systematically searched in PubMed, Embase, Cochrane Library, CINAHL, Web of Science, PsycINFO, WanFang and CNKI databases. The retrieval time limit was from the establishment of databases to September 30, 2021. The literature was screened according to inclusion and exclusion criteria, and quality was assessed using the Cochrane Manual recommended RCT bias risk assessment tool. STATA 15.0 software was used for network Meta-analysis according to frequency framework.Results:A total of 59 RCTS were included, involving 8 psychological interventions and 5 726 patients. For the primary outcome of depression, at post-intervention, the ranking results showed that relaxation was the most likely to be the best intervention. However, in the comparison of different intervention effects, only cognitive behavioral therapy showed statistically significant difference compared with the control group ( P<0.05) . At follow-up, the ranking results showed that cognitive behavioral therapy was the most likely to be the best, and the difference was statistically significant compared with the control group ( P < 0.05) . After intervention, for the secondary index pain, the ranking results showed that hypnosis intervention was the most likely to be the best, but the intervention effect of relaxation intervention and cognitive behavioral therapy was statistically significant compared with the control group ( P< 0.05) . At follow-up, the ranking results showed that the best possibility of receiving commitment therapy was the highest, and the difference was statistically significant compared with the control group ( P < 0.05) . Conclusions:Cognitive behavioral therapy has the best effect on depression indicators in arthritis patients, and relaxation intervention and acceptance commitment therapy have the best effects on pain indicators after intervention and at follow-up, respectively. The potential interventions include relaxation intervention and hypnosis intervention, which are worthy of further study.

Objective:To understand the current situation of nursing undergraduate students ' mastery of core skills and analyze the impact paths of learning environment and self-efficacy on the level of nursing core ability mastery. Methods:Using the convenient sampling method, a total of 431 nursing undergraduates from 6 universities in Macao and Guangdong Province were selected as the research objects from November to December 2022. The self-made general data questionnaire, Nursing Core Skills Mastery Questionnaire and General Self-Efficacy Scale were used to investigate the patients.Results:The total score of core nursing skills for 431 undergraduate nursing students was (3.55±0.59). The learning environment had a positive direct effect on the mastery of core skills ( P<0.05), which could indirectly affect the mastery of core skills through the mediating effects of self-efficacy, personal foundation and planning ( P<0.05) . Conclusions:Application-oriented colleges, progressive practice plans and increasing the proportion of electives are conducive to the improvement of self-efficacy and the mastery of core nursing skills. It is recommended that nursing colleges clarify the direction of talent cultivation based on their own situation, increase the proportion of elective courses and add clinical practice content in the course process, in order to promote the mastery of core nursing skills for nursing undergraduate students.

Objective:To construct the prediction model of knee degeneration in patients with knee osteoarthritis based on bioelectrical impedance index, and evaluate the prediction performance and application efficiency of the model.Methods:This was a cross-sectional study. From May to July 2021, 248 knee joints of 124 patients with knee osteoarthritis at home from Shijiazhuang Yuqiang Community Health Service Center who participated in physical examination were selected by convenience sampling to establish the model. According to Kellgren-Lawrence (K-L) grading system, the knee joints were divided into four groups, namely K-L1 ( n=19) , K-L2 ( n=103) , K-L3 ( n=96) , and K-L4 ( n=30) . The indicators included in the model were selected through analysis of variance or Kruskal-Wallis test, and a prediction model of knee degeneration was established using support vector machine, and the model was optimized using grid parameter optimization method. The prediction performance of the model was evaluated by the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, accuracy, positive predictive value and negative predictive value. Results:The indicators in the model included age, complications, lumbar/back/hip pain, high-risk occupation, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) -pain, WOMAC-function, capacitive reactance and phase angle. The area under the ROC curve of the training set model was 0.999, the prediction accuracy was 0.920, and the 95% confidence interval was 0.868 to 0.957. The area under the ROC curve of the test set model was 0.833, the prediction accuracy was 0.682, and the 95% confidence interval was 0.572 to 0.780.Conclusions:The prediction model of knee degeneration has good prediction performance and is easy to use, which can be used as a screening tool for knee degeneration in patients with knee osteoarthritis.