ObjectiveTo establish an educational intervention framework of electronic picture books for children with autism spectrum disorder (ASD) based on Creative Problem Solving (CPS) model, and observe the effect on social function. MethodsElectronic picture books were designed using CPS model, including the program of reading, interactive animation design and associated artistic activities. From March to June, 2023, 24 children with mild to moderate ASD were recruited from Maanshan Institute of Special Education, and randomly assigned into experimental group 1 (CPS-based cognitive picture book interventions, n = 8), experimental group 2 (CPS-based social picture book interventions, n = 8) and control group (Bloom's Taxonomy-based picture book interventions, n = 8), and received the interventions for four weeks, with a total of twelve times. They were assessed with speech, social, perceptual and health behavior using Autism Treatment Evaluation Checklist (ATEC) before and after treatment, and the differences were calculated. ResultsThere was a significant difference among the groups in the social and perceptual scores differences (F > 4.344, P < 0.05) and a near-significant difference in the health behaviour score difference (F = 2.921, P = 0.076). Post Hoc test showed that the differences in social scores were higher in both experimental groups than in the control group (P < 0.05); the difference in perceptual scores was significantly higher in experimental group 1 than in experimental group 2 (P < 0.01), but there was no significant difference with the control group (P > 0.05); the difference in health behavior scores was higher in experimental group 2 than in the control (P < 0.05), and the difference in experimental group 1 was slightly higher than in the control group (P = 0.072). ConclusionElectronic picture book interventions based on the CPS model may be more effective in enhancing social, perceptual and health behavior in children with ASD, but there may be differences among models.

Objective: To investigate the clinical efficacy and safety of pudendal nerve modulation (PNM) in the treatment of female pudendal neuralgia (PN)，so as to promote the clinical application of this technique. Methods: A retrospective analysis was conducted on 20 female PN patients who failed conservative treatment at Gongli Hospital during Nov.2020 and Oct.2023.All patients underwent simultaneous PNM and sacral nerve modulation (SNM) with the assistance of 3D printing navigation.Dual-stage test electrodes for PNM and SNM were implanted，followed by alternate therapeutic trial for each modality.Secondary conversion rates and longitudinal outcomes，including visual analogue score (VAS)，patient health questionnaire-9 (PHQ-9)，and quality of life (QoL) scores were compared preoperatively，post-stage Ⅰ，and at 3，6，and 12 months post-stage Ⅱ. Results: All operations were successful.After the trial phase，the secondary conversion rate for PNM was significantly higher than that for SNM; 16 patients (16/20，80%) chose the second-phase PNM implantation surgery，3 (3/20，15%) chose second-phase SNM implantation，and 1 (1/20，5%) had electrodes removed due to ineffective results from both trials.Further assessment revealed that the improvements in VAS，PHQ-9，and QoL scores for PNM patients were significantly better than those for SNM patients after the first phase of surgery and at 3，6 and 12 months after the second-phase conversion (P<0.05).No complications such as electrode migration or infection were observed during the follow-up of 12-15 months. Conclusion: PNM provides more effective relief of pain symptoms and improvements in depressive states for female PN patients compared to SNM.With the assistance of 3D printing navigation，the operation is simple and safe，and offers stable therapeutic effects.It is worthy of clinical promotion and application.

Humans ; Urinary Bladder Neoplasms/pathology* ; Carcinoma, Transitional Cell/pathology* ; Genetic Markers ; Biomarkers, Tumor/genetics* ; Urothelium/pathology*

Dry age-related macular degeneration(AMD)is a degenerative disease affecting the macular region of the retina,and aging changes in retinal and choroidal tissues are an important factor in AMD pathogenesis.Cell aging is an irre-versible state of cell cycle arrest triggered by certain physiological processes or stressful injury,affecting a variety of physi-ological and pathological processes.An increasing number of studies have shown that cell aging plays an essential role in the occurrence and development of AMD.This paper reviews the mechanisms of cell aging and its relationship with dry AMD,aiming to provide new ideas for the treatment of dry AMD.

Objective To investigate the risk factors of neonatal hypoglycemia,establish the risk prediction model of neonatal hypoglycemia and test the effectiveness of the model.Methods Retrospective analysis was performed to collect clinical data of 727 newborns and pregnant mothers who were delivered in a Grade Ⅲ general hospital from October 2018 to August 2020.Univariate analysis and multivariate Logistic regression analysis were used to analyze related risk factors to construct prediction models.The clinical data of 150 newborns and pregnant women from September 2020 to February 2021 were selected to test the efficacy of the model.Results Multivariate Logistic regression analysis showed that feeding problems,neonatal hypothermia,neonatal complications,gestational diabetes and fetal distress were independent risk factors for neonatal hypoglycemia(P<0.05).The model verification results showed that the area under the curve(AUC)was 0.883,the sensitivity was 82.97%,the specificity was 88.35%,the positive predictive value was 76.47%,the negative predictive value was 91.92%,and the total accuracy of the model was 88.67%,which had a good prediction ability.Conclusion The prediction model established in this study has a good ability to predict the risk of neonatal hypoglycemia,which can be used to provide reference for early screening of high-risk groups of neonatal hypoglycemia and starting predictive nursing intervention measures.

Objective:To investigate whether residual dental follicles in the alveolar socket after extraction of impacted mandibular third molars affect the periodontal health of adjacent mandibular second molars, in order to provide clinical reference for the management of residual dental follicles after third molar extraction.Methods:A total of 82 patients who underwent bilateral impacted mandibular third molar extraction at the Department of Oral Surgery, School and Hospital of Stomatology Wuhan University, from November 1, 2020, to November 30, 2022, were included in the study. Using a self-controlled method, each patient′s bilateral mandibular third molars were randomly divided into two groups: Group A underwent third molar extraction with thorough removal of residual dental follicle tissue, while Group B underwent third molar extraction without any treatment of the remaining dental follicle tissue. Operation time and adverse reactions were recorded. Clinical and radiographic examinations were performed at 6-month follow-up to evaluate the periodontal parameters and alveolar bone height of the bilateral mandibular second molars, and differences between the two groups were compared.Results:All patients had successful bilateral mandibular third molar extractions, and no serious complications occurred intraoperatively or postoperatively. There were no statistically significant differences in surgical time, postoperative pain, or facial swelling between the two groups ( P>0.05). At the 6-month follow-up, the probing depth on the distal aspect of the mandibular second molars in Group A [2.67 (2.00, 3.67) mm] was significantly less than that in Group B [4.00 (3.00, 5.00) mm] ( Z=-6.55, P<0.001). The clinical attachment loss on the distal aspect of the mandibular second molars in Group A [1.00 (0.00, 3.00) mm] was less than that in Group B [3.00 (2.00, 5.00) mm] ( Z=-5.99, P<0.001). The distance from the alveolar crest to the cementoenamel junction on the distal aspect of the mandibular second molars in Group A [(1.86±1.34) mm] was less than that in Group B [(3.04± 1.89) mm] ( t=-6.87, P<0.001). In patients aged≥20 years, the probability of recovery of alveolar bone height to normal level on the distal aspect of the mandibular second molars in Group A [42.3% (11/26)] was significantly higher than that in Group B [0 (0/26)] ( P<0.01), while there was no statistically significant difference between Group A [63.3% (19/30)] and Group B [46.7% (14/20)] in patients aged<20 years ( P>0.05). Conclusions:Residual dental follicles in the alveolar socket after extraction of impacted mandibular third molars adversely affect the periodontal health of adjacent teeth. Thorough removal of residual dental follicles during impacted mandibular third molar extraction is beneficial for the postoperative recovery of alveolar bone height of the distal aspect of the mandibular second molars, especially in patients aged≥20 years.

Objective:To analyze the individual and cumulative effects of unhealthy lifestyle on the prevalence of hypertension, diabetes and dyslipidemia in old adults in China, and find out the critical lifestyle in the network.Methods:Based on the baseline data of Yunnan Behavior and Disease Surveillance Cohort in 2021, a total of 16 763 older adults aged ≥60 years were included in our study. The unhealthy lifestyle factors including smoking, drinking, unhealthy eating habit, lower physical activity level, abnormal BMI and abnormal waist circumference. We calculated the unhealthy lifestyle score by using the cumulative exposures of each participant. Multiple logistic regression and mixed graphical models were used to describe the association between unhealthy lifestyle and the prevalence of hypertension, diabetes and dyslipidemia.Results:The prevalence of hypertension, diabetes and dyslipidemia were 57.0%, 11.5% and 37.0%, respectively. Most of the unhealthy lifestyles included in the study were risk factors for hypertension, diabetes and dyslipidemia, and the risks of disease increased with the increase of the unhealthy lifestyle score. The participants with the highest score (score: 6) had significantly higher prevalence of hypertension ( OR=3.99, 95% CI: 1.81-8.80), diabetes ( OR=4.64, 95% CI: 1.64-13.15) and dyslipidemia ( OR=4.26, 95% CI: 2.08-8.73) compared with those with lowest score (score: 0). In the network constructed by mixed graphical model, abnormal waist circumference (bridge strength=0.81) and hypertension (bridge strength=0.55) were vital bridge nodes connecting unhealthy lifestyle and hypertension, diabetes and dyslipidemia. Conclusions:The unhealthy lifestyle score was associated with risks for hypertension, diabetes and dyslipidemia. Abnormal waist circumference was the key factor for chronic diseases in old adults.

In recent years, the research focus on health-related behavior and chronic non-communicable diseases has shifted from the analysis on independent effects of multiple causes on a single outcome to the evaluation the complex relationships between multiple causes and multiple effects. Complex network theory, an important branch of system science, considers the relationships among factors in a network and can reveal how health-related behaviors interact with chronic diseases through a series of complex network models and indicators. This paper summarizes the definition and development of complex network theory and its commonly used models, indicators, and case studies in the field of health-related behavior and chronic disease to promote the application of complex network theory in the field of health and provide reference and tools for future research of the relationship between health-related behavior and chronic disease.

Objective:To understand the influence of unhealthy lifestyle on diabetic dyslipidemia and the key influencing factors in occupational population and provided scientific evidence for the prevention of diabetic dyslipidemia.Methods:Based on baseline data and follow-up data of Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd. during 2021. Diabetic dyslipidemia was defined as diabetes plus one or more forms of dyslipidemia, and unhealthy lifestyle factors included smoking, alcohol consumption, unhealthy dietary patterns, low physical activity, and abnormal BMI. Multivariate logistic regression model was used to analyze the relationship between unhealthy lifestyle scores and diabetic dyslipidemia, network analysis was used to find and explore the key lifestyles influencing glycolipid metabolism.Results:A total of 25 631 subjects were included. People with unhealthy lifestyle score 2 and 3 were 1.93 (95% CI: 1.31-2.86) times and 2.37 (95% CI: 1.60-3.50) times more likely to have diabetes with ≥1 forms of dyslipidemia than those with scores of 0; People with unhealthy lifestyle score 1, 2 and 3 were 1.98 (95% CI: 1.08-3.61) times, 2.87 (95% CI: 1.60-5.14) times and 3.95 (95% CI: 2.22-7.06) times more likely to have diabetes with ≥2 forms of dyslipidemia than those with score 0. Network analysis found that abnormal BMI and HDL-C were the "bridge nodes" that link unhealthy lifestyles with diabetic dyslipidemia. Conclusion:The higher the score of unhealthy lifestyle, the higher the risk for diabetic dyslipidemia, abnormal BMI and HDL-C are key factors influencing the association between unhealthy lifestyle and diabetic dyslipidemia.

Objective:To understand the relationship between unhealthy lifestyle and hyperuricemia, as well as the modification effects of hypertension and dyslipidemia in occupational population and provide a theoretical basis for the prevention of hyperuricemia.Methods:A cross-sectional survey design was adopted, based on baseline data from the Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd., which included the population in 28 prefectures from Sichuan Province and Guizhou Province, and 33 districts (counties) from Chongqing Municipality between October and December 2021. This study collected the information about the demographics characteristics, lifestyles, and prevalence of chronic non-communicable diseases of the study subjects through questionnaire, physical measurement and laboratory biochemical test. The unhealthy lifestyle score was scored based on smoking, alcohol consumption, dietary patterns, physical activity, and low weight or overweight, with higher scores being associated with more unhealthy lifestyles. The multivariate logistic regression model was used to analyze the relationship between unhealthy lifestyle score, smoking, alcohol consumption, other factors and hyperuricemia, and the stratified analysis was used to explore the modification effect of hypertension and other diseases on the relationship between unhealthy lifestyle and hyperuricemia.Results:A total of 11 748 participants were included in this study, the prevalence of hyperuricemia was 34.4%. Multivariate logistic regression model showed that current/previous smoking, current/previous alcohol consumption and BMI abnormality were risk factors for hyperuricemia, and the unhealthy lifestyle score showed a "cumulative" effect on the risk for hyperuricemia, with higher score increasing the risk of hyperuricemia, and the OR increased from 1.64 (95% CI: 1.34-2.00) to 2.89 (95% CI: 2.39-3.50). Stratified analysis showed that unhealthy lifestyles had a greater impact on the risk for hyperuricemia in people with hypertension and dyslipidemia. Conclusions:The coexistence of multiple unhealthy lifestyles might increase the risk of hyperuricemia, and this effect was stronger in participants with hypertension and dyslipidemia. Timely correction of unhealthy lifestyles, and control of hypertension and dyslipidemia might reduce the risk for hyperuricemia.