ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

Objective To explore the feasibility and safety of fastest recovery after surgery(FRAS)in laparoscopic surgery of gastrointestinal tumors.Methods The clinical data of patients undergoing laparoscopic surgery for gastrointestinal tumors under FRAS and enhanced recovery after surgery(ERAS)from Jan.2023 to May 2024 were collected,and perioperative safety and medical cost were analyzed.Results A total of 87 patients were enrolled,including 43 in the FRAS group and 44 in the ERAS group.Compared with the ERAS group,the FRAS group had significantly shorter surgical time(3.0[2.5,3.5]h vs 3.0[2.5,4.0]h),first postoperative movement time([2.85±4.29]h vs[20.18±6.13]h),first postoperative oral feeding time(2.0[2.0,3.0]h vs 24.0[15.0,48.0]h),postoperative hospital stay(24.0[20.0,40.0]h vs 192.0[150.0,216.0]h),lower hospitalization costs(50 515.61[46 650.44,56 827.12]yuan vs 65 555.09[58 683.21,86 239.02]yuan),and lower medication costs(2 671.09[2 063.31,3 127.09]yuan vs 7 326.90[5 104.66,10 674.26]yuan)(all P＜0.05).Conclusion It is safe and feasible to use FRAS during the perioperative period of laparoscopic radical gastrectomy for gastrointestinal tumors,and FRAS can also reduce the costs of hospitalization and medications.

Objective:To observe the characteristics of multi-muscle surface electromyography (sEMG) network indices during static standing among hemiplegic stroke survivors, and to evaluate the value of the indices in assessing neuromuscular dysfunction.Methods:Ten male stroke survivors with hemiplegia were recruited into the hemiplegia group, and 10 age-matched healthy males were chosen as the control group. Both groups were required to perform 30s static standing tasks with their eyes open and closed. The sEMG signals from the bilateral gluteus maximus (GM), rectus femoris (RF) and biceps femoris (BF) muscles were synchronously collected. Linear time-frequency domain indices were then calculated from the sEMG signals, including the root mean square (RMS) and median frequency (MF). Network indices were extracted from the multiplex recurrence network and weighted networks were constructed from the sEMG signals, including the average interlayer mutual information (I), average edge overlap (ω), clustering coefficient (C), average shortest path length (L) and degree of centrality (DC).Results:With the eyes closed, the RMS values of the bilateral GMs of the hemiplegia group, as well as the values for the RF and BF on the unaffected side were significantly higher than the control group′s values. In the hemiplegia group, the RMS values of the RF and BF muscles on the unaffected side were significantly higher than on the affected side during standing with the eyes closed. For the RF muscles the RMS values on the unaffected side were, on average, significantly higher than with the eyes open. The MF of the GM muscles on the unaffected side in the hemiplegia group was significantly lower than the average MF values of the bilateral GM muscles in the control group with the eyes open or closed. With the eyes closed, the MF of the unaffected-side GM was significantly lower than that of the affected-side GM in the hemiplegia group. Compared with the control group, the hemiplegia group showed a significant increase in I and ω values, but a significant decrease in L values with the eyes open or closed. The DC values of the bilateral GM, RF and BF muscles in the hemiplegia group were significantly higher than among the control group with the eyes open, which was also true of the bilateral GM and RF muscles with the eyes closed. With the BF muscles it was true only of the unaffected side. In the hemiplegia group, the DC values of the unaffected-side GM with the eyes open or closed, and of the unaffected-side BF with the eyes closed.Conclusions:When standing still, hemiplegic stroke survivors exhibit increased overall synchronous muscle adjustment with involvement of unaffected-side muscles, especially the GM. sEMG network indices such as I, ω, L and DC can assess multi-muscle synchronous adaptability and the involvement of single muscles. sEMG network algorithms thus have potential as a new method for localizing and quantitatively assessing neuromuscular dysfunction among such patients.

Objective:To develop a Pain Management Nursing Competency Evaluation Index System for surgical nurses, providing a framework for assessing their pain management competency and guiding in-service training programs.Methods:From December 2023 to July 2024, a research team employed literature analysis, semi-structured interviews, expert consultations, and the analytic hierarchy process (AHP) to determine the content and weight of the competency evaluation index system. A cross-sectional survey was subsequently conducted using convenience sampling on 788 surgical nurses to test the internal consistency, test-retest reliability, and content validity of the index system.Results:The response rates for the two rounds of expert consultations were both 100% (46/46), with an expert authority coefficient of 0.921; the Kendall′s coefficients of expert opinions for the primary indicators were 0.106 and 0.245, respectively. The final index system included seven primary indicators (routine pain assessment, assessment and management of active and unexpected pain, pharmacological pain management, patient-controlled analgesia nursing, non-pharmacological pain management, pain related education for patients and their families, and professional development), 23 secondary indicators, and 78 tertiary indicators. The overall Cronbach α was 0.991, the test-retest reliability was 0.493, the item-level content validity index ranged from 0.96 to 1.00, and the scale-level content validity index was 0.98.Conclusions:The pain management nursing competency evaluation index system for surgical nurses is scientifically valid, reliable, and practical. It offers a solid foundation for evaluating the pain management competencies of surgical nurses and designing targeted in-service training programs.

Objective:To develop a Pain Management Nursing Competency Evaluation Index System for surgical nurses, providing a framework for assessing their pain management competency and guiding in-service training programs.Methods:From December 2023 to July 2024, a research team employed literature analysis, semi-structured interviews, expert consultations, and the analytic hierarchy process (AHP) to determine the content and weight of the competency evaluation index system. A cross-sectional survey was subsequently conducted using convenience sampling on 788 surgical nurses to test the internal consistency, test-retest reliability, and content validity of the index system.Results:The response rates for the two rounds of expert consultations were both 100% (46/46), with an expert authority coefficient of 0.921; the Kendall′s coefficients of expert opinions for the primary indicators were 0.106 and 0.245, respectively. The final index system included seven primary indicators (routine pain assessment, assessment and management of active and unexpected pain, pharmacological pain management, patient-controlled analgesia nursing, non-pharmacological pain management, pain related education for patients and their families, and professional development), 23 secondary indicators, and 78 tertiary indicators. The overall Cronbach α was 0.991, the test-retest reliability was 0.493, the item-level content validity index ranged from 0.96 to 1.00, and the scale-level content validity index was 0.98.Conclusions:The pain management nursing competency evaluation index system for surgical nurses is scientifically valid, reliable, and practical. It offers a solid foundation for evaluating the pain management competencies of surgical nurses and designing targeted in-service training programs.

Objective:To investigate the co-occurrence patterns of psychosocial and behavioral problems among children and to identify associated influencing factors.Methods:A multicenter cross-sectional survey was conducted in 2023. A cluster random sample of 19 176 children aged 6-16 years was recruited from middle-income areas across 10 provincial capitals and municipalities in China. Psychological and behavioral problems, including anxiety, compulsive behavior, social withdrawal, depression, somatic complaints, social problems, schizoid, delinquent behaviors, hyperactivity, sexual issues, and aggression, were assessed using the Achenbach Child Behavior Checklist parent version. Co-occurrence was defined as ≥2 concurrent problems. Children were divided into 4 groups by gender and age: boys aged 6-11 years, girls aged 6-11 years, boys aged 12-16 years, and girls aged 12-16 years. Those children who had psychosocial and behavioral problems were further categorized into the single-problem group, and the co-occurrence group based on assessment results. High-frequency co-occurrence phenotypes of children′s psychosocial and behavioral problems were identified. Demographic factors, such as parental employment, education, as well as psychosocial factors like parent-child relationship, screen time and outdoor activity, were investigated. χ 2 test was used to analyze differences between groups. Multivariate Logistic regression modeling was conducted to identify potential factors. Results:Among 14 711 children (7 501 boys, 7 210 girls) who provided effective questionnaires, the detection rates of single problem in the boys aged 6-11 years, girls aged 6-11 years, boys aged 12-16 years, and girls aged 12-16 years groups were 4.9% (171/3 461), 6.2% (193/3 120), 3.9% (158/4 040), and 5.1% (208/4 090), respectively; the detection rates of co-occurrence were 7.6% (262/3 461), 7.7% (241/3 120), 4.9% (199/4 040), and 5.7% (234/4 090), respectively. The overall detection rates of co-occurrence was higher than that of single problem ( χ2=25.47, P<0.001). Among children with co-occurrence, there were varied manifestations: in the boys aged 6-11 years group, the detection rates of social withdrawal (69.8% (183/262)), schizoid-like behavior (68.3% (179/262)), and compulsive behavior (67.6% (177/262)) were relatively high; in the girls aged 6-11 years group, the detection rates of schizoid-compulsive behavior (69.3% (167/241)), delinquent behavior (65.6% (158/241)), and hyperactivity (58.9% (142/241)) were relatively high; in the boys aged 12-16 years group, the detection rates of hyperactivity (78.9% (157/199)), compulsive behavior (67.3% (134/199)), and immature behavior (57.3% (114/199)) were relatively high; in the girls aged 12-16 years group, the detection rates of schizoid-like behavior (89.7% (210/234)), immature behavior (59.0% (138/234)), and cruelty (57.7% (135/234)) were relatively high. Maternal bachelor′s degree or higher ( OR=0.78, 95% CI 0.61-0.99, P=0.038) served as co-occurrence protective factors, whereas having 1 or more siblings, increased parent-child conflict and decreased parent-child interaction time ( OR=1.24, 1.41, 1.36; 95% CI 1.02-1.52, 1.15-1.73, 1.02-1.82, all P<0.05) were co-occurrence risk factors. Conclusions:Children exhibit strong co-occurrence tendencies in psychosocial and behavioral problems. Compulsive and schizoid traits are the predominant co-occurring phenotypes for childhood and girls respectively. ?Familial environment plays a critical role, necessitating ?multidimensional clinical assessments and ?family-centered interventions.

Objective:To observe the characteristics of multi-muscle surface electromyography (sEMG) network indices during static standing among hemiplegic stroke survivors, and to evaluate the value of the indices in assessing neuromuscular dysfunction.Methods:Ten male stroke survivors with hemiplegia were recruited into the hemiplegia group, and 10 age-matched healthy males were chosen as the control group. Both groups were required to perform 30s static standing tasks with their eyes open and closed. The sEMG signals from the bilateral gluteus maximus (GM), rectus femoris (RF) and biceps femoris (BF) muscles were synchronously collected. Linear time-frequency domain indices were then calculated from the sEMG signals, including the root mean square (RMS) and median frequency (MF). Network indices were extracted from the multiplex recurrence network and weighted networks were constructed from the sEMG signals, including the average interlayer mutual information (I), average edge overlap (ω), clustering coefficient (C), average shortest path length (L) and degree of centrality (DC).Results:With the eyes closed, the RMS values of the bilateral GMs of the hemiplegia group, as well as the values for the RF and BF on the unaffected side were significantly higher than the control group′s values. In the hemiplegia group, the RMS values of the RF and BF muscles on the unaffected side were significantly higher than on the affected side during standing with the eyes closed. For the RF muscles the RMS values on the unaffected side were, on average, significantly higher than with the eyes open. The MF of the GM muscles on the unaffected side in the hemiplegia group was significantly lower than the average MF values of the bilateral GM muscles in the control group with the eyes open or closed. With the eyes closed, the MF of the unaffected-side GM was significantly lower than that of the affected-side GM in the hemiplegia group. Compared with the control group, the hemiplegia group showed a significant increase in I and ω values, but a significant decrease in L values with the eyes open or closed. The DC values of the bilateral GM, RF and BF muscles in the hemiplegia group were significantly higher than among the control group with the eyes open, which was also true of the bilateral GM and RF muscles with the eyes closed. With the BF muscles it was true only of the unaffected side. In the hemiplegia group, the DC values of the unaffected-side GM with the eyes open or closed, and of the unaffected-side BF with the eyes closed.Conclusions:When standing still, hemiplegic stroke survivors exhibit increased overall synchronous muscle adjustment with involvement of unaffected-side muscles, especially the GM. sEMG network indices such as I, ω, L and DC can assess multi-muscle synchronous adaptability and the involvement of single muscles. sEMG network algorithms thus have potential as a new method for localizing and quantitatively assessing neuromuscular dysfunction among such patients.

Objective:To investigate the co-occurrence patterns of psychosocial and behavioral problems among children and to identify associated influencing factors.Methods:A multicenter cross-sectional survey was conducted in 2023. A cluster random sample of 19 176 children aged 6-16 years was recruited from middle-income areas across 10 provincial capitals and municipalities in China. Psychological and behavioral problems, including anxiety, compulsive behavior, social withdrawal, depression, somatic complaints, social problems, schizoid, delinquent behaviors, hyperactivity, sexual issues, and aggression, were assessed using the Achenbach Child Behavior Checklist parent version. Co-occurrence was defined as ≥2 concurrent problems. Children were divided into 4 groups by gender and age: boys aged 6-11 years, girls aged 6-11 years, boys aged 12-16 years, and girls aged 12-16 years. Those children who had psychosocial and behavioral problems were further categorized into the single-problem group, and the co-occurrence group based on assessment results. High-frequency co-occurrence phenotypes of children′s psychosocial and behavioral problems were identified. Demographic factors, such as parental employment, education, as well as psychosocial factors like parent-child relationship, screen time and outdoor activity, were investigated. χ 2 test was used to analyze differences between groups. Multivariate Logistic regression modeling was conducted to identify potential factors. Results:Among 14 711 children (7 501 boys, 7 210 girls) who provided effective questionnaires, the detection rates of single problem in the boys aged 6-11 years, girls aged 6-11 years, boys aged 12-16 years, and girls aged 12-16 years groups were 4.9% (171/3 461), 6.2% (193/3 120), 3.9% (158/4 040), and 5.1% (208/4 090), respectively; the detection rates of co-occurrence were 7.6% (262/3 461), 7.7% (241/3 120), 4.9% (199/4 040), and 5.7% (234/4 090), respectively. The overall detection rates of co-occurrence was higher than that of single problem ( χ2=25.47, P<0.001). Among children with co-occurrence, there were varied manifestations: in the boys aged 6-11 years group, the detection rates of social withdrawal (69.8% (183/262)), schizoid-like behavior (68.3% (179/262)), and compulsive behavior (67.6% (177/262)) were relatively high; in the girls aged 6-11 years group, the detection rates of schizoid-compulsive behavior (69.3% (167/241)), delinquent behavior (65.6% (158/241)), and hyperactivity (58.9% (142/241)) were relatively high; in the boys aged 12-16 years group, the detection rates of hyperactivity (78.9% (157/199)), compulsive behavior (67.3% (134/199)), and immature behavior (57.3% (114/199)) were relatively high; in the girls aged 12-16 years group, the detection rates of schizoid-like behavior (89.7% (210/234)), immature behavior (59.0% (138/234)), and cruelty (57.7% (135/234)) were relatively high. Maternal bachelor′s degree or higher ( OR=0.78, 95% CI 0.61-0.99, P=0.038) served as co-occurrence protective factors, whereas having 1 or more siblings, increased parent-child conflict and decreased parent-child interaction time ( OR=1.24, 1.41, 1.36; 95% CI 1.02-1.52, 1.15-1.73, 1.02-1.82, all P<0.05) were co-occurrence risk factors. Conclusions:Children exhibit strong co-occurrence tendencies in psychosocial and behavioral problems. Compulsive and schizoid traits are the predominant co-occurring phenotypes for childhood and girls respectively. ?Familial environment plays a critical role, necessitating ?multidimensional clinical assessments and ?family-centered interventions.

Objective:To explore and analyze the characteristics and influencing factors of language development in children with attention deficit hyperactivity disorder (ADHD).Methods:A case-control study was used, from May 2021 to August 2023, patients diagnosed with attention deficit hyperactivity disorder (ADHD) were enrolled in the mental health clinic of the Children′s Hospital Affiliated to the Capital Institute of Pediatrics. The language ability of 272 children with ADHD and 117 healthy children who underwent physical examination in children′s health center during the same period were tested by Diagnostic Receptive and Expressive Assessment of Mandarin-Comprehensive (DREAM-C), and the development levels of total language, receptive, expressive, semantics and syntax of the two groups were compared by independent sample t-test. The influential factors of language lag in children with ADHD were analyzed by univariate χ2 analysis and multiple logistic regression. Results:There were 272 children with ADHD, including 206 males and 66 females, with an age range of 6-8 (7.29±1.17) years. While in the control group, there were 117 healthy children, including 91 males and 26 females, with an age range of 6-8 (7.02±0.82) years. The average scores of total language, expressive and syntax of ADHD children were lower than those of healthy children [(92.73±12.47/96.36±11.04), t=-2.857, P<0.05; (84.49±13.24/87.78±15.25), t=-2.029, P<0.05; (87.93±10.26/90.27±11.05), t=2.022, P<0.05]. Univariate χ2 analysis showed that disharmonious family relationship ( χ2=4.183, P<0.05), the main caregivers were non-parents ( χ2=9.121, P<0.05), early screen exposure ( χ2=3.889, P<0.05), ADHD family history ( χ2=5.423, P<0.05) were influential factors of language development lag in ADHD children. The results of multivariate logistic regression model analysis showed that cesarean section ( OR=2.137, 95% CI: 1.078-4.379, P=0.030), disharmonious family relationship ( OR=2.659, 95% CI: 1.178-5.999, P=0.019), early screen exposure ( OR=3.556, 95% CI: 1.127-11.213, P=0.030), ADHD family history ( OR=1.959, 95% CI: 1.058-3.630, P=0.033) were risk factors for comorbidities of language development in children with ADHD. Conclusion:The total language ability, expressive and syntax scores of ADHD children lag behind those of healthy children. The delayed language development of ADHD children is related to delivery mode, family relationship, the main caregivers, early screen exposure, family history of ADHD.

Objective:To explore and analyze the characteristics and influencing factors of language development in children with attention deficit hyperactivity disorder (ADHD).Methods:A case-control study was used, from May 2021 to August 2023, patients diagnosed with attention deficit hyperactivity disorder (ADHD) were enrolled in the mental health clinic of the Children′s Hospital Affiliated to the Capital Institute of Pediatrics. The language ability of 272 children with ADHD and 117 healthy children who underwent physical examination in children′s health center during the same period were tested by Diagnostic Receptive and Expressive Assessment of Mandarin-Comprehensive (DREAM-C), and the development levels of total language, receptive, expressive, semantics and syntax of the two groups were compared by independent sample t-test. The influential factors of language lag in children with ADHD were analyzed by univariate χ2 analysis and multiple logistic regression. Results:There were 272 children with ADHD, including 206 males and 66 females, with an age range of 6-8 (7.29±1.17) years. While in the control group, there were 117 healthy children, including 91 males and 26 females, with an age range of 6-8 (7.02±0.82) years. The average scores of total language, expressive and syntax of ADHD children were lower than those of healthy children [(92.73±12.47/96.36±11.04), t=-2.857, P<0.05; (84.49±13.24/87.78±15.25), t=-2.029, P<0.05; (87.93±10.26/90.27±11.05), t=2.022, P<0.05]. Univariate χ2 analysis showed that disharmonious family relationship ( χ2=4.183, P<0.05), the main caregivers were non-parents ( χ2=9.121, P<0.05), early screen exposure ( χ2=3.889, P<0.05), ADHD family history ( χ2=5.423, P<0.05) were influential factors of language development lag in ADHD children. The results of multivariate logistic regression model analysis showed that cesarean section ( OR=2.137, 95% CI: 1.078-4.379, P=0.030), disharmonious family relationship ( OR=2.659, 95% CI: 1.178-5.999, P=0.019), early screen exposure ( OR=3.556, 95% CI: 1.127-11.213, P=0.030), ADHD family history ( OR=1.959, 95% CI: 1.058-3.630, P=0.033) were risk factors for comorbidities of language development in children with ADHD. Conclusion:The total language ability, expressive and syntax scores of ADHD children lag behind those of healthy children. The delayed language development of ADHD children is related to delivery mode, family relationship, the main caregivers, early screen exposure, family history of ADHD.