Objective To investigate the relationship between the comorbidity of dyslipidemia, hypertension and diabetes and lifestyle of adult residents in Hebei Province in 2018, and to provide reference for the development of chronic diseases prevention measures. Methods Using data from the surveillance of chronic diseases and their risk factors among adults in Hebei in 2018, 7 711 permanent residents aged ≥18 years were selected as the research subjects. Multivariate logistic regression analysis was used to analyze the relationship between the comorbidity of dyslipidemia, hypertension, and diabetes and lifestyle in adult residents. Results A total of 7 711 subjects aged ≥18 years were included in 2018. The comorbidity rates of hypertension and dyslipidemia, diabetes and dyslipidemia, and hypertension and diabetes were 16.88%, 7.91%, and 8.13%, respectively. The comorbidity rate of hypertension, diabetes, and dyslipidemia was 22.65%. These comorbidity rates increased with age and BMI. Multivariate logistic regression results showed that male, age, overweight/obesity, physical inactivity, daily sedentary behavior time ≥5 hours, and sleep problems were risk factors for the comorbidity of the "three highs". Conclusion The prevalence of the "three highs" comorbidities is relatively high in Hebei Province, and there are multiple common risk factors. Maintaining a healthy lifestyle and implementing comprehensive prevention and control measures are the key to improving the health level of residents.

Objective:To study the influencing factors of postpartum post-traumatic stress disorder(PTSD)in pregnant women in the third trimester of pregnancy based on propensity score matching(PSM).Methods:A retrospective analysis was conducted on clinical data of 220 pregnant women in the third trimester who visited our hospital from October 2022 to October 2024,they were divided into PTSD group(n=52)and non-PTSD group(n=168)based on whether PTSD occurred.PSM was adopted to match the age,body mass index(BMI),educational level,average monthly income per capita,natural conception,premature birth,pregnancy complications,first delivery,insomnia,the progress of labor,parenting methods,infant health status and postpartum depression of the two groups at a 1∶1 ratio.After matching,Logistic regression was used to analyze the influencing factors of postpartum PTSD in pregnant women in the third trimester of pregnancy.Result:When comparing the educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups before matching,the differences were statistically significant(P＜0.05).When comparing the comparisons of educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups after matching,the differences were statistically significant(P＜0.05).Logistic regression analysis showed that junior high school education level or below,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression were risk factors for PTSD(P＜0.05).Conclusion:Based on PCM,it was found that low educational level,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression are risk factors for postpartum PTSD in pregnant women in the third trimester of pregnancy,and reasonable preventive interventions could be taken as early as possible in pregnant women with high risk of PTSD.

Objective:To study the influencing factors of postpartum post-traumatic stress disorder(PTSD)in pregnant women in the third trimester of pregnancy based on propensity score matching(PSM).Methods:A retrospective analysis was conducted on clinical data of 220 pregnant women in the third trimester who visited our hospital from October 2022 to October 2024,they were divided into PTSD group(n=52)and non-PTSD group(n=168)based on whether PTSD occurred.PSM was adopted to match the age,body mass index(BMI),educational level,average monthly income per capita,natural conception,premature birth,pregnancy complications,first delivery,insomnia,the progress of labor,parenting methods,infant health status and postpartum depression of the two groups at a 1∶1 ratio.After matching,Logistic regression was used to analyze the influencing factors of postpartum PTSD in pregnant women in the third trimester of pregnancy.Result:When comparing the educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups before matching,the differences were statistically significant(P＜0.05).When comparing the comparisons of educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups after matching,the differences were statistically significant(P＜0.05).Logistic regression analysis showed that junior high school education level or below,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression were risk factors for PTSD(P＜0.05).Conclusion:Based on PCM,it was found that low educational level,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression are risk factors for postpartum PTSD in pregnant women in the third trimester of pregnancy,and reasonable preventive interventions could be taken as early as possible in pregnant women with high risk of PTSD.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To evaluate and summarize the best evidence on nutritional management of children with inflammatory bowel disease (IBD) both domestically and internationally, so as to provide reference for clinical nursing practice.Methods:According to the "6S" evidence model, the literature on nutritional management of children with IBD was systematically searched in national and international computerized decision support systems, guideline websites, relevant professional association websites, and databases. The search period was from January 2014 to July 2024. The quality of the included literature was evaluated and the evidence was extracted, evaluated and integrated to form the best evidence.Results:A total of 15 papers were included, including three clinical decisions, five guidelines, two expert consensus, two position papers, and three systematic reviews. Thirty-four pieces of best evidence were extracted, focusing on six aspects of multidisciplinary team formation, nutritional assessment and monitoring, diet and nutrient management, nutritional support methods, exercise and obesity management, and follow-up and health education.Conclusions:This study summarizes the best evidence for nutritional management of children with IBD, which may provide a basis for clinical implementation of nutritional interventions. It is recommended that healthcare professionals screen for the best evidence, translate the evidence, and develop individualized nutritional management programs, taking into account the clinical context, professional opinion, and patient wishes.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To evaluate the safety and efficacy of accelerator-based boron neutron capture therapy (AB-BNCT) in the treatment of recurrent and refractory malignant tumors.Methods:The data of 14 patients admitted to Xiamen Humanity Hospital from September 2022 to April 2023 were prospectively collected, including 7 patients with primary brain malignancies and 7 patients with locally recurrent inoperable head and neck malignancies. All patients received intravenous infusion of boron drug (NBB-001, p-dihydroxyborylphe nylalanine, a patented freeze-dried formulation) at a total nominal dosage of 500 mg/kg (11 patients) or 750 mg/kg (3 patients), and were irradiated with neutrons (operating with NeuPex system). Adverse events after treatment were recorded and assessed. The primary efficacy endpoint was the 90 d objective response rate (ORR), while the secondary endpoints included progression-free survival (PFS) and complete response rate (CRR). Data were compiled and analyzed by SAS 9.4 software. The rate and 95% CI were calculated using Clopper-Pearson method. Results:The median dose delivered to 80% of the target volume (D 80%) was 16.80 GyE (range: 8.93-23.79 GyE). The most common adverse reactions were hyperamylasemia, alopecia, and hyperprolactinemia. Five patients experienced 8 cases of grade 3 or above adverse events, including 1 case of grade 4 acute kidney injury and 7 cases of grade 3 adverse events. All adverse events were recovered after observation or treatment. At 90 d after treatment, the ORR of all patients was 9/14 (64%, 95% CI: 35%-87%), disease control rate (DCR) was 10/14 (71%, 95% CI: 42%-92%), CRR was 2/14 (14%, 95% CI: 2%-42%); and the best overall response during the entire course included an ORR of 10/14 (71% ,95% CI: 42%-92%), DCR of 13/14 (93%, 95% CI: 66%-100%), and CRR of 3/14 (21% ,95% CI: 5%-51%). The 1-year survival rate for head and neck malignancies was 71.4%, and the 2-year survival rate was 42.8%. The 1-year survival rate for recurrent brain malignancies was 42.8%. Conclusion:AB-BNCT demonstrates favorable safety and promising efficacy in treating primary brain malignancies and recurrent/refractory head and neck malignancies, representing a potential therapeutic option.

OBJECTIVE: Observational studies have found associations between inflammatory bowel disease (IBD) and the risk of dementia, including Alzheimer's dementia (AD) and vascular dementia (VD); however, these findings are inconsistent. It remains unclear whether these associations are causal. METHODS: We conducted a meta-analysis by systematically searching for observational studies on the association between IBD and dementia. Mendelian randomization (MR) analysis based on summary genome-wide association studies (GWASs) was performed. Genetic correlation and Bayesian co-localization analyses were used to provide robust genetic evidence. RESULTS: Ten observational studies involving 80,565,688 participants were included in this meta-analysis. IBD was significantly associated with dementia (risk ratio [ RR] =1.36, 95% CI = 1.04-1.78; I ² = 84.8%) and VD ( RR = 2.60, 95% CI = 1.18-5.70; only one study), but not with AD ( RR = 2.00, 95% CI = 0.96-4.13; I ² = 99.8%). MR analyses did not supported significant causal associations of IBD with dementia (dementia: odds ratio [ OR] = 1.01, 95% CI = 0.98-1.03; AD: OR = 0.98, 95% CI = 0.95-1.01; VD: OR = 1.02, 95% CI = 0.97-1.07). In addition, genetic correlation and co-localization analyses did not reveal any genetic associations between IBD and dementia. CONCLUSION Our study did not provide genetic evidence for a causal association between IBD and dementia risk. The increased risk of dementia observed in observational studies may be attributed to unobserved confounding factors or detection bias.
Humans ; Mendelian Randomization Analysis ; Inflammatory Bowel Diseases/complications* ; Dementia/etiology* ; Observational Studies as Topic ; Genome-Wide Association Study