Objective:To develop the Body Image Flexibility Questionnaire for Middle School Students(BIFQ-MS)and test its validity and reliability.Methods:Firstly,the initial questionnaire was developed based on the hexaflex model of psychological flexibility.Secondly,701 middle school students were selected to complete the initial questionnaire for item analysis and exploratory factor analysis.Thirdly,899 middle school students were ex-amined to conduct confirmatory factor analysis,criterion-related validity and internal consistency tests on the formal questionnaire.The Body Image-Acceptance and Action Questionnaire(BI-AAQ),Avoidance and Fusion Question-naire for Youth(AFQ-Y8),Body Areas Satisfaction Scale(BASS),and General Appearance subscale of the Nega-tive Physical Self Scale(NPSS-GA)were used to test criterion validity.In addition,88 middle school students were retested 4 weeks later.Results:The BIFQ-MS consisted of 26 items,including 4 factors(openness to experience,self-as-context,contact with the present moment,and valued action),which explained 65.55％of the total vari-ance.Confirmatory factor analysis showed that the four-factor structural model fitted well(x2/df=2.26,CFI=0.97,TLI=0.97,RMSEA=0.04,SRMR=0.03).The BIFQ-MS total scores and the scores of each factor were positively correlated with the scores of the BI-AAQ and the BASS(r=0.41-0.50,Ps＜0.01),whereas they were negatively correlated with the scores of the NPSS-GA and the AFQ-Y8(r=-0.28--0.58,Ps＜0.01).The Cronbach's α coefficients of the total questionnaire and the 4 factors ranged from 0.91 to 0.97,and the test-retest reliabilities(ICC)ranged from 0.70 to 0.86.Conclusion:The Body Image Flexibility Questionnaire for Middle School Students is a reliable tool for understanding body image flexibility in adolescents.

Listeria brainstem encephalitis with myelitis is extremely rare in clinical practice.Since the clinical manifestations are non-specific,MRI is helpful for diagnosis.Positive cerebrospinal fluid culture is considered the gold standard for diagnosis.This article reports a case of an immunocompetent individual with listeria brainstem encephalitis with myelitis,aiming to enhance the awareness of this condition.
Humans ; Brain Stem/pathology* ; Diagnostic Errors ; Encephalitis/complications* ; Encephalomyelitis, Acute Disseminated/diagnosis* ; Listeriosis/complications* ; Myelitis/complications*

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective:To develop the Body Image Flexibility Questionnaire for Middle School Students(BIFQ-MS)and test its validity and reliability.Methods:Firstly,the initial questionnaire was developed based on the hexaflex model of psychological flexibility.Secondly,701 middle school students were selected to complete the initial questionnaire for item analysis and exploratory factor analysis.Thirdly,899 middle school students were ex-amined to conduct confirmatory factor analysis,criterion-related validity and internal consistency tests on the formal questionnaire.The Body Image-Acceptance and Action Questionnaire(BI-AAQ),Avoidance and Fusion Question-naire for Youth(AFQ-Y8),Body Areas Satisfaction Scale(BASS),and General Appearance subscale of the Nega-tive Physical Self Scale(NPSS-GA)were used to test criterion validity.In addition,88 middle school students were retested 4 weeks later.Results:The BIFQ-MS consisted of 26 items,including 4 factors(openness to experience,self-as-context,contact with the present moment,and valued action),which explained 65.55％of the total vari-ance.Confirmatory factor analysis showed that the four-factor structural model fitted well(x2/df=2.26,CFI=0.97,TLI=0.97,RMSEA=0.04,SRMR=0.03).The BIFQ-MS total scores and the scores of each factor were positively correlated with the scores of the BI-AAQ and the BASS(r=0.41-0.50,Ps＜0.01),whereas they were negatively correlated with the scores of the NPSS-GA and the AFQ-Y8(r=-0.28--0.58,Ps＜0.01).The Cronbach's α coefficients of the total questionnaire and the 4 factors ranged from 0.91 to 0.97,and the test-retest reliabilities(ICC)ranged from 0.70 to 0.86.Conclusion:The Body Image Flexibility Questionnaire for Middle School Students is a reliable tool for understanding body image flexibility in adolescents.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To assess the risk factors for carbapenem-resistant Acinetobacter baumannii(CRAB)bloodstream infection(BSI)and 28-day short-term mortality in elderly patients,and provide reference for the pre-vention and treatment of CRAB BSI.Methods Clinical data of patients aged ≥60 years and diagnosed with AB BSI in a hospital in Yulin City from January 2013 to December 2022 were retrospectively analyzed,including demogra-phic and microbiological characteristics,as well as clinical outcomes of the patients.Variables which were significant in univariate analysis were selected for multivariate analysis using binary logistic regression model and Cox propor-tional hazards model.Independent risk factors for infection were further determined,and survival analysis was per-formed using Kaplan-Meier curve.Results A total of 150 patients were included in the study,out of which 16 pa-tients(10.7％)had CRAB BSI and 134 had carbapenem-sensitive AB(CSAB)BSI.The 28-day short-term mortali-ty of AB BSI in elderly patients was 15.3％(23/150,95％CI:9.6％-21.1％),and the short-term mortality of CRAB BSI was higher than that of CSAB([56.3％,9/16]vs[10.4％,14/134]).Deep venous catheterization(OR:15.598,95％CI:1.831-132.910)and combined infections of other sites(OR:15.449,95％CI:1.497-159.489)were related to CRAB BSI in elderly patients.The independent risk factors for 28-day mortality in elderly patients with AB BSI were hemodialysis(OR:11.856,95％CI:2.924-48.076),intensive care unit admission(OR:9.387,95％CI:1.941-45.385),and pulmonary infection being suspected source of bacteremia(OR:7.019,95％CI:1.345-36.635).Conclusion The occurrence of CRAB BSI in elderly patients is related to the combined infection of other sites and deep vein catheterization.Hemodialysis,admission to ICU,and pulmonary infection being suspected source of bacteremia are independent risk factors for the prognosis of AB BSI in elderly patients.

Aim To investigate the effect of ellagic acid (EA) on cognitive function in APP/PS 1 double- transgenic mice, and to explore the regulatory mechanism of ellagic acid on the level of oxidative stress in the hippocampus of double-transgenic mice based on the phosphatidylinositol 3-kinase/protein kinase B/glycogen synthase kinase-3 (PI3K/AKT/GSK-3 β) signaling pathway. Methods Thirty-two SPF-grade 6-month-old APP/PS 1 double transgenic mice were randomly divided into four groups, namely, APP/PS 1 group, APP/PS1 + EA group, APP/PS1 + LY294002 group, APP/PS 1 + EA + LY294002 group, with eight mice in each group, and eight SPF-grade C57BL/6J wild type mice ( Wild type) were selected as the blank control group. The APP/PS 1 + EA group was given 50 mg · kg

OBJECTIVE: To observe the efficacy and safety of different induction regimens of same total dosage of azacitidine (Aza), including standard dose (standard dose group) and low-dose long-term (adjusted dose group), in the treatment of elderly acute myeloid leukemia (AML). METHODS: A total of 103 elderly patients with AML (non-acute promyelocytic leukemia) from January 2020 to June 2021 were enrolled. Aza was administered at the standard dose of 75 mg/(m²·d) for 7 days in the standard dose group (50 cases), while at 100 mg/d for 7-12 days in the adjusted dose group (53 cases). The administration days in adjusted dose group was calculated based on the total standard dose of the patient's single course of treatment. The efficacy and safety between standard dose group and adjusted dose group were compared. Subgroup analysis were performed in the two groups for Aza alone, Aza combined with BCL-2 inhibitor, and Aza combined with low-dose chemotherapy for efficacy and safety. RESULTS: There were no significant differences in overall response rate (ORR), incidence of adverse reaction, and 1-year overall survival (OS) rate between standard dose group and adjusted dose group (P >0.05). The ORR of combination was higher than that of Aza alone (P < 0.05), while there was no significant difference in ORR between Aza combined with BCL-2 inhibitor and Aza combined with low-dose chemotherapy (P >0.05). The combination of BCL-2 inhibitor did not increase the incidence of adverse reactions compared wtih Aza alone. There was a higher risk of myelosuppression and pulmonary infection with a combination of low-dose chemotherapy than with a combination of BCL-2 inhibitor and Aza alone (P <0.05). No significant difference was observed in 1-year OS between Aza alone, Aza combined with BCL-2 inhibitor, and Aza combined with low-dose chemotherapy (P >0.05). CONCLUSIONS Both two induction regimens can be used in elderly AML patients who cannot tolerate intensive chemotherapy with similar overall effectiveness and safety. Aza combined with low-dose chemotherapy may result in increased ORR and an increased incidence of serious adverse reactions, and may not result in longer survival compared with Aza alone. Aza combined with BCL-2 inhibitor not only has similar effect in complete remission, objective response rate, and OS compared with Aza combined with low-dose chemotherapy, but also has higher safety.
Humans ; Aged ; Azacitidine/therapeutic use* ; Prospective Studies ; Treatment Outcome ; Antineoplastic Combined Chemotherapy Protocols ; Leukemia, Myeloid, Acute/etiology* ; Proto-Oncogene Proteins c-bcl-2