Objective: To investigate the association between the physical fitness index (PFI) and symptoms of depressive, anxiety and stress symptoms among college students, providing a reference for mental health interventions. Methods: From June to September 2025, combined convenience and cluster random sampling approach was used to administer questionnaire surveys and perform physical fitness tests on 2 712 college students from Zhejiang Chinese Medical University. The Depression Anxiety Stress Scales-21 Items (DASS-21) was used to assess mental health status. Chi square test and multivariate Logistic regression analysis were used to determine the associations between the PFI and the PFI component indicators with depressive, anxiety and stress symptoms. Results: The prevalence of depressive, anxiety and stress among college students were 24.26%, 33.22% and 13.68%, respectively. Statistically significant differences in the prevalence of these symptoms were detected across groups differing in sleep quality, physical activity, weekly breakfast frequency, and history of low back or neck pain ( χ 2=9.33-151.83, all P <0.05). After adjusting for confounding factors, Logistic regression revealed that the moderate and high PFI groups had significantly reduced risks of depressive and anxiety compared to the low PFI group ( OR =0.73, 0.63; 0.61, 0.72, all P <0.05). Poor speed (50 m run) and lower body strength (standing long jump) emerged as common risk factors affecting anxiety and depressive symptoms in both male and female college students (all P <0.05). Increased muscle strength (sit up for 1 min) in female students reduced the risk of depressive ( OR =0.81), anxiety ( OR =0.85), and stress symptoms ( OR =0.79) (all P <0.05). Enhanced lung capacity in male students decreased the risk of depressive ( OR =0.84) and anxiety symptoms ( OR =0.85) (both P <0.05). Conclusions The PFI is negatively correlated with depressive and anxiety symptoms among college students with notable gender differences. Insufficient speed and lower body explosive power represent common risk factors for mental health among male and female college students.

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective:To analyze the epidemiological characteristics of wasting, spinal curvature abnormalities and multimorbidity among children and adolescents aged 6-18 in Inner Mongolia and explore the related factors of these two health problems.Methods:In September 2022, a stratified random cluster sampling method was employed to select 188 635 children and adolescents aged 6-18 in Inner Mongolia for physical examinations and questionnaire surveys. Data on height, weight, as well as dietary behavior, physical activity, classroom environment, academic tasks, writing posture, and screen behavior were collected. The epidemiological characteristics of wasting, spinal curvature abnormalities and multimorbidity were analyzed. Additionally, a multivariate logistic regression model was used to analyze the factors associated with wasting, spinal curvature abnormalities and multimorbidity.Results:A total of 188 635 children and adolescents aged 6-18 years participated in this study, including 95 393 boys (50.6%) with an average age of (11.53±3.32) years. The detection rate of wasting was 3.79%, with a higher detection rate in boys (4.18%) than in girls (3.38%) ( P<0.001). The detection rate of spinal curvature abnormalities was 3.64%, with a higher detection rate in girls (4.04%) than in boys (3.25%) ( P<0.001). The detection rate of multimorbidity between wasting and spinal curvature abnormalities was 0.17%, and there was no statistically significant difference between genders ( P>0.05). The detection rates of wasting, spinal curvature abnormalities, and multimorbidity all increased with age ( P t<0.001). The multivariate logistic regression analysis showed that, after adjusting for gender, age, urban/rural status, and school grade, compared to children and adolescents who exercised ≥1 hour of moderate-to-vigorous physical activity (MVPA) for at least 5 days per week and had daily screen time <2 hours, those who exercised <5 days per week ( OR=1.28, 95% CI: 1.19-1.37) and had daily screen time ≥2 hours ( OR=1.11, 95% CI: 1.03-1.19) had a higher risk of wasting. Compared to children and adolescents who had ≥5 physical education (PE) classes per week, adjusted desk and chair height,<1 hour of after-school study/writing time, and whose parents or teachers rarely or never reminded them about posture, those with <5 PE classes per week ( OR=1.11, 95% CI: 1.02-1.21), unadjusted desk and chair height ( OR=1.08, 95% CI: 1.01-1.15),≥1 hour of after-school study/writing time ( OR=1.15, 95% CI: 1.07-1.24), frequent reminders from parents ( OR=1.16, 95% CI: 1.09-1.23), and frequent reminders from teachers ( OR=1.10, 95% CI: 1.04-1.16) had a higher risk of spinal curvature abnormalities. Compared to children and adolescents who did not consume sugary drinks daily, exercised ≥1 hour of MVPA for at least 5 days per week, and whose teachers rarely or never reminded them about posture, those who consumed sugary drinks daily ( OR=1.61, 95% CI: 1.00-2.46), exercised <5 days per week ( OR=1.33, 95% CI: 1.01-1.79), and had teachers who frequently reminded them about posture ( OR=1.35, 95% CI: 1.05-1.75) had a higher risk of multimorbidity between wasting and spinal curvature abnormalities. Conclusion:The detection rates of wasting, spinal curvature abnormalities and multimorbidity among children and adolescents aged 6-18 in Inner Mongolia are generally low, with an increasing trend observed with age. Both lifestyle and school environmental factors are associated with wasting, spinal curvature abnormalities and multimorbidity.

Identifying drug-drug interactions(DDIs)is essential to prevent adverse effects from polypharmacy.Although deep learning has advanced DDI identification,the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits.Here,we developed a Multi-Dimensional Feature Fusion model named MDFF,which integrates one-dimensional simplified molec-ular input line entry system sequence features,two-dimensional molecular graph features,and three-dimensional geometric features to enhance drug representations for predicting DDIs.MDFF was trained and validated on two DDI datasets,evaluated across three distinct scenarios,and compared with advanced DDI prediction models using accuracy,precision,recall,area under the curve,and F1 score metrics.MDFF achieved state-of-the-art performance across all metrics.Ablation experiments showed that integrating multi-dimensional drug features yielded the best results.More importantly,we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs.Among 12 real-world adverse drug reaction reports,the predictions of 9 reports were supported by relevant evidence.Additionally,MDFF demon-strated the ability to explain adverse DDI mechanisms,providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective:To analyze the epidemiological characteristics of wasting, spinal curvature abnormalities and multimorbidity among children and adolescents aged 6-18 in Inner Mongolia and explore the related factors of these two health problems.Methods:In September 2022, a stratified random cluster sampling method was employed to select 188 635 children and adolescents aged 6-18 in Inner Mongolia for physical examinations and questionnaire surveys. Data on height, weight, as well as dietary behavior, physical activity, classroom environment, academic tasks, writing posture, and screen behavior were collected. The epidemiological characteristics of wasting, spinal curvature abnormalities and multimorbidity were analyzed. Additionally, a multivariate logistic regression model was used to analyze the factors associated with wasting, spinal curvature abnormalities and multimorbidity.Results:A total of 188 635 children and adolescents aged 6-18 years participated in this study, including 95 393 boys (50.6%) with an average age of (11.53±3.32) years. The detection rate of wasting was 3.79%, with a higher detection rate in boys (4.18%) than in girls (3.38%) ( P<0.001). The detection rate of spinal curvature abnormalities was 3.64%, with a higher detection rate in girls (4.04%) than in boys (3.25%) ( P<0.001). The detection rate of multimorbidity between wasting and spinal curvature abnormalities was 0.17%, and there was no statistically significant difference between genders ( P>0.05). The detection rates of wasting, spinal curvature abnormalities, and multimorbidity all increased with age ( P t<0.001). The multivariate logistic regression analysis showed that, after adjusting for gender, age, urban/rural status, and school grade, compared to children and adolescents who exercised ≥1 hour of moderate-to-vigorous physical activity (MVPA) for at least 5 days per week and had daily screen time <2 hours, those who exercised <5 days per week ( OR=1.28, 95% CI: 1.19-1.37) and had daily screen time ≥2 hours ( OR=1.11, 95% CI: 1.03-1.19) had a higher risk of wasting. Compared to children and adolescents who had ≥5 physical education (PE) classes per week, adjusted desk and chair height,<1 hour of after-school study/writing time, and whose parents or teachers rarely or never reminded them about posture, those with <5 PE classes per week ( OR=1.11, 95% CI: 1.02-1.21), unadjusted desk and chair height ( OR=1.08, 95% CI: 1.01-1.15),≥1 hour of after-school study/writing time ( OR=1.15, 95% CI: 1.07-1.24), frequent reminders from parents ( OR=1.16, 95% CI: 1.09-1.23), and frequent reminders from teachers ( OR=1.10, 95% CI: 1.04-1.16) had a higher risk of spinal curvature abnormalities. Compared to children and adolescents who did not consume sugary drinks daily, exercised ≥1 hour of MVPA for at least 5 days per week, and whose teachers rarely or never reminded them about posture, those who consumed sugary drinks daily ( OR=1.61, 95% CI: 1.00-2.46), exercised <5 days per week ( OR=1.33, 95% CI: 1.01-1.79), and had teachers who frequently reminded them about posture ( OR=1.35, 95% CI: 1.05-1.75) had a higher risk of multimorbidity between wasting and spinal curvature abnormalities. Conclusion:The detection rates of wasting, spinal curvature abnormalities and multimorbidity among children and adolescents aged 6-18 in Inner Mongolia are generally low, with an increasing trend observed with age. Both lifestyle and school environmental factors are associated with wasting, spinal curvature abnormalities and multimorbidity.

Objective To analyze the morphology of the pterygoid hamulus and its relationship with adjacent tissues on CBCT ima-ges,establish reference data of the anatomical structure of the pterygoid hamulus in the adult population,in order to provide a basis for clinical assisted diagnosis and treatment of pterygoid hamulus syndrome and obstructive sleep apnea hypopnea syndrome.Methods A total of 151 patients with CBCT images who met the inclusion criteria were collected from August 2020 to December 2023 in the Depart-ment of Stomatology at the Second Traditional Chinese Medicine Hospital of Jiangsu Province.The CBCT images were reconstructed u-sing the maximum intensity projection(MIP)and volume rendering(VR)modes of cone-beam CT.The morphology,length,width,vertical height,abduction angle,mucosal thickness,distance from the pterygoid hamulus to the midline of the palate,and distance from the pterygoid hamulus to the greater palatine foramen were observed and statistically analyzed in 302 bilateral cases.The differ-ences in the morphology of the pterygoid hamulus and its adjacent tissues were analyzed in different places,genders and age groups.Results The apex of the pterygoid hamulus faced inward on 6 sides and outward on 296 sides.The apex of the pterygoid hamulus was sharp on 46 sides and blunt on 256 sides.The pterygoid hamulus showed no statistically significant differences in various parameters be-tween the left and right sides,except for the width.In males,the length,width,height,distance from the pterygoid hamulus to the mid-palatal suture,and mucosal thickness on the surface of the hamulus were all greater than those in females,demonstrating statisti-cally significant differences.Females also exhibited a larger outward angle of the pterygoid hamulus than males,which was statistically significant.Moreover,with the increase of age,the length and height of the pterygoid hamulus initially increased and then decreased,exhibiting statistically significant differences.Conclusion CBCT has the advantages of low radiation dosage,convenient operation,clear imaging,stable measurement data,and clear images in the examination of pterygoid hamulus.It helps in the diagnosis and treat-ment of pterygoid hamulus-related diseases in a clinical setting.

Background::Cardiovascular disease (CVD) has emerged as the leading cause of death from prostate cancer (PCa) in recent decades, bringing a great disease burden worldwide. Men with preexisting CVD have an increased risk for major adverse cardiovascular events when treated with androgen deprivation therapy (ADT). The present study aimed to explore the prevalence and risk evaluation of CVD among people with newly diagnosed PCa in China.Methods::Clinical data of newly diagnosed PCa patients were retrospectively collected from 34 centers in China from 2010 to 2022 through convenience sampling. CVD was defined as myocardial infarction, arrhythmia, heart failure, stroke, ischemic heart disease, and others. CVD risk was estimated by calculating Framingham risk scores (FRS). Patients were accordingly divided into low-, medium-, and high-risk groups. χ2 or Fisher’s exact test was used for comparison of categorical variables. Results::A total of 4253 patients were enrolled in the present study. A total of 27.0% (1147/4253) of patients had comorbid PCa and CVD, and 7.2% (307/4253) had two or more CVDs. The enrolled population was distributed in six regions of China, and approximately 71.0% (3019/4253) of patients lived in urban areas. With imaging and pathological evaluation, most PCa patients were diagnosed at an advanced stage, with 20.5% (871/4253) locally progressing and 20.5% (871/4253) showing metastasis. Most of them initiated prostatectomy (46.6%, 1983/4253) or regimens involving ADT therapy (45.7%, 1944/4253) for prostate cancer. In the present PCa cohort, 43.1% (1832/4253) of patients had hypertension, and half of them had poorly controlled blood pressure. With FRS stratification, as expected, a higher risk of CVD was related to aging and metabolic disturbance. However, we also found that patients with treatment involving ADT presented an originally higher risk of CVD than those without ADT. This was in accordance with clinical practice, i.e., aged patients or patients at advanced oncological stages were inclined to accept systematic integrative therapy instead of surgery. Among patients who underwent medical castration, only 4.0% (45/1118) received gonadotropin releasing hormone antagonists, in stark contrast to the grim situation of CVD prevalence and risk.Conclusions::PCa patients in China are diagnosed at an advanced stage. A heavy CVD burden was present at the initiation of treatment. Patients who accepted ADT-related therapy showed an original higher risk of CVD, but the awareness of cardiovascular protection was far from sufficient.

OBJECTIVES: The use of anticholinergic drugs in the elderly may lead to negative events such as falls, delirium, urinary retention and cognitive decline, and the higher the number of anticholinergic drugs use, the more such negative events occur. This study aims to analyze the risk factors associated with the prescription of total anticholinergic drugs in elderly outpatients and evaluate the rationality of anticholinergic drugs, and to provide a reference for reducing the adverse effects of anticholinergic drugs. METHODS: A list of drugs with anticholinergic activity based on the Beers criteria was established. The basic information (such as age and gender), clinical diagnosis, and medications of elderly outpatient were extracted from hospital electronic medical records, and the Anticholinergic Cognitive Burden (ACB) Scale was used to calculate the anticholinergic burden for each patient. Logistic regression analysis was used to identify the potential risk factors for the occurrence of problems such as multiple medication and insomnia. RESULTS: A total of 1 840 prescriptions for elderly patients were reviewed. Of these patients, ACB score was more than or equal to 1 in 648 (35.22%) patients. Number of prescription medication (95% CI: 1.221 to 1.336) and insomnia (95% CI: 3.538 to 6.089) were independent factors affecting ACB scores (both P<0.01). Medications for patients of ACB scores were most commonly treated with the central nervous system drugs (such as alprazolam and eszopiclone) and for the cardiovascular system drugs (such as metoprolol and nifedipine). CONCLUSIONS There is a high rate of ACB drugs use in geriatric patients, and the clinical focus should be on multiple medication prescriptions, especially on the central nervous system drugs (such as alprazolam and eszopiclone) and cardiovascular system drugs (such as metoprolol and nifedipine). The prescription review should be emphasized to reduce adverse reactions to anticholinergic drugs in elderly patients.
Humans ; Aged ; Cholinergic Antagonists/adverse effects* ; Outpatients ; Metoprolol ; Alprazolam ; Eszopiclone ; Nifedipine ; Sleep Initiation and Maintenance Disorders ; Risk Factors

Neoadjuvant therapy leads to the eradication of micrometastasis, thereby providing survival benefit to patients with muscle-invasive bladder cancer (MIBC). In the recent years, multiple clinical trials have corroborated the safety and durability of immune checkpoint inhibitors in the treatment of MIBC. Notably, there is a significantly higher response rate (e.g. pathologic complete response) and comparable occurrence of adverse events in patients treated with neoadjuvant dual immunotherapy, immunotherapy combined with chemotherapy or targeted therapy as compared with that treated with neoadjuvant single-agent immunotherapy. With an overview of breakthroughs in the past years, we believe that immune combination therapy is of great promise and expected to revolutionize the landscape of neoadjuvant therapy of MIBC.

Objective:To investigate the efficacy of tyrosine kinase inhibitors (TKI) in the treatment of metastatic renal cell carcinoma with rhabdoid differentiation(mRCC-R) or sarcomatoid differentiation(mRCC-S)and the survival of the patients.Methods:The clinicopathological and postoperative follow-up data of 5 patients with mRCC-R and 9 with mRCC-S confirmed by pathology from February 2016 to December 2018 in Tianjin Medical University Cancer Hospital were reviewed. There were 3 male and 2 female patients in mRCC-R group, with the average age of (60.2±7.1)years old. The clinic manifestation included back or abdominal pain in 2 cases, loss of appetite and weight in one case and founding during physical examination in 2 cases, with the average maximum diameter was (8.8±4.1)cm. The site of tumor included left kidney in 3 cases and right kidney in 2 cases. Lung metastasis was found in 4 cases. Lung and peritoneum metastasis was found in one case. There were 8 male and 1 female patients in mRCC-S group, with the average age of (58.0±8.0)years old. The clinic manifestation included back or abdominal pain in one case, loss of weight in one case, gross hematuria in one case and founding during physical examination in 6 cases. The average diameter of tumor was (8.9±3.5)cm. The site of tumor included left kidney in 4 cases and right kidney in 5 cases. Postoperative metastasis included lung in 3 cases, bone in one case, retroperitoneal lymph node in one case, brain in one case, lung associated with bone in one case. All of the patients were pathologically diagnosed with renal clear cell carcinoma. After metastasis, 5 cases of mRCC-R and 6 cases of mRCC-S were treated with Sorafenib, 2 cases of mRCC-S were treated with Sunitinib, and 1 case of mRCC-S was treated with Axitinib. The efficacy of TKI for the two specific pathological types and for single pathological type at the early postoperative period (within 3 months) and 3 months later was compared. Meanwhile, subgroup analysis was performed on the efficacy of TKI and survival of patients with same metastatic sites in the two groups.Results:The mean overall survival(OS) of mRCC-R and mRCC-S treated with TKI was (26.5±5.5)months and (20.7±4.7) months( P=0.329), and the mean progression-free survival (PFS) was (21.9±5.5) months and (6.3±2.1)months( P=0.013), respectively. Comparing the efficacy of using TKI in the early postoperative period and after 3 months, the mean OS was (27.5±6.5)months and (16.8±6.1)months ( P=0.619), and the mean PFS was (12.3±3.3)months and (3.3±1.7)months ( P=0.096), respectively. There was only 1 patient with mRCC-R who used TKI within 3 months after surgery, and the result was disease progressed and eventually died, OS was 3 months. Comparing the efficacy of TKI in mRCC-R and mRCC-S with lung metastasis alone, the mean OS was (33.3±2.2) months and (19.5±8.9)months ( P=0.118), and the mean PFS was (27.3±3.1) months and (7.8±4.2) months ( P=0.009), respectively. Patients with liver, bone or brain metastasis only occurred in mRCC-S, so it is unable to identify the efficacy of TKI in the two groups. Conclusions:The efficacy of TKI in the treatment of mRCC-R was better than mRCC-S, and there was statistically significant difference in PFS, especially in patients with lung metastasis alone in the two groups. There was no significant difference in the efficacy between patients with mRCC-R who took TKI in the early postoperative period (within 3 months)and those who took TKI after 3 months.