Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

Objective To explore the mechanism of Luzhongjiangu Decoction in treating Osteonecrosis of the femoral head(ONFH).Methods Animal experiments were conducted to validate the therapeutic effect of Luzhongjiangu Decoction on ONFH.Network pharmacology was employed to screen potential targets,and molecular docking was used to verify the affinity between ligands and receptors.Fifty rats were randomly divided into blank group,model group,high-dose Luzhongjiangu Decoction groups,medium-dose Luzhongjiangu Decoction groups and low-dose Luzhongjiangu Decoction groups.After treatment,the therapeutic effect was evaluated by bone histomorphometry,bone histopathology and the expression of osteogenic related proteins.The serum metabolic differences were detected by UHPLC-QE-MS non-targeted metabonomics technique,followed by metabolic pathway enrichment analysis.Network pharmacology and metabolomics were integrated,and molecular docking was employed to further investigate the underlying mechanisms..Results The experimental results showed that Luzhongjiangu Decoction can significantly increase the expression of OCN,OPN and other osteogenic related factors,increase bone mineral density,alleviate the destruction of bone trabeculae,compared with that in the model group(P<0.01).The metabolomics test showed that compared with model group,Luzhongjiangu Decoction could callback 34 kinds of serum metabolic differences,involving 21 metabolic pathways,the main metabolic pathways were arachidonic acid metabolism,steroid hormone biosynthesis,primary bile acid biosynthesis,lysine degradation and so on.Network pharmacological results suggested that 185 active components and 1040 targets,551 disease targets and 76 intersection targets were obtained.The key pathways of Luzhongjiangu Decoction in the treatment of ONFH,which were analyzed by KEGG,involved HIF-1 signaling pathway,thyroid hormone signaling pathway,Calcium signaling pathway and so on.Integrated analysis showed that Luzhongjiangu Decoction may treat ONFH through seven metabolic pathways including arginine and proline metabolism,arachidonic acid metabolism,and steroid hormone biosynthesis;the molecular docking results also revealed correlation between potential pharmacodynamic substances and core target genes.Conclusion Luzhongjiangu Decoction can regulate the balance between proliferation and apoptosis of bone cells in a hypoxic environment by affecting the metabolic pathways such as arachidonic acid metabolism and HIF-1 signaling pathway,thereby exerting a therapeutic effect on osteonecrosis of the femoral head.

Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

Objective To explore the mechanism of Luzhongjiangu Decoction in treating Osteonecrosis of the femoral head(ONFH).Methods Animal experiments were conducted to validate the therapeutic effect of Luzhongjiangu Decoction on ONFH.Network pharmacology was employed to screen potential targets,and molecular docking was used to verify the affinity between ligands and receptors.Fifty rats were randomly divided into blank group,model group,high-dose Luzhongjiangu Decoction groups,medium-dose Luzhongjiangu Decoction groups and low-dose Luzhongjiangu Decoction groups.After treatment,the therapeutic effect was evaluated by bone histomorphometry,bone histopathology and the expression of osteogenic related proteins.The serum metabolic differences were detected by UHPLC-QE-MS non-targeted metabonomics technique,followed by metabolic pathway enrichment analysis.Network pharmacology and metabolomics were integrated,and molecular docking was employed to further investigate the underlying mechanisms..Results The experimental results showed that Luzhongjiangu Decoction can significantly increase the expression of OCN,OPN and other osteogenic related factors,increase bone mineral density,alleviate the destruction of bone trabeculae,compared with that in the model group(P<0.01).The metabolomics test showed that compared with model group,Luzhongjiangu Decoction could callback 34 kinds of serum metabolic differences,involving 21 metabolic pathways,the main metabolic pathways were arachidonic acid metabolism,steroid hormone biosynthesis,primary bile acid biosynthesis,lysine degradation and so on.Network pharmacological results suggested that 185 active components and 1040 targets,551 disease targets and 76 intersection targets were obtained.The key pathways of Luzhongjiangu Decoction in the treatment of ONFH,which were analyzed by KEGG,involved HIF-1 signaling pathway,thyroid hormone signaling pathway,Calcium signaling pathway and so on.Integrated analysis showed that Luzhongjiangu Decoction may treat ONFH through seven metabolic pathways including arginine and proline metabolism,arachidonic acid metabolism,and steroid hormone biosynthesis;the molecular docking results also revealed correlation between potential pharmacodynamic substances and core target genes.Conclusion Luzhongjiangu Decoction can regulate the balance between proliferation and apoptosis of bone cells in a hypoxic environment by affecting the metabolic pathways such as arachidonic acid metabolism and HIF-1 signaling pathway,thereby exerting a therapeutic effect on osteonecrosis of the femoral head.

Objective To investigate the impact of the Shared Medical Appointment (SMA) model on blood glucose levels and self-management behaviors in patients with gestational diabetes mellitus (GDM). Methods A total of 87 pregnant women diagnosed with GDM at the Obstetrics and Gynecology and Endocrinology Outpatient Departments of the Affiliated Suqian Hospital of Xuzhou Medical University from October 2021 to October 2022 were enrolled and divided into treatment group (n=44) and control group (n=43). The treatment group received SMA-based GDM management, while the control group underwent routine outpatient follow-up. Baseline data, flash glucose monitoring (FGM)-related indicators before and after treatment, and self-management behavior scale scores were compared between the two groups. Results No statistically significant differences were observed between the two groups in age, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), blood urea nitrogen (BUN), creatinine (Cr), uric acid (UA), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glycated hemoglobin (HbA1c) (P>0.05). After treatment, the time in range (TIR) of glucose was higher in the treatment group than that in the control group, while mean amplitude of glycemic excursions (MAGE), standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean blood glucose (MBG) were lower in the treatment group (P < 0.05). Within the treatment group, post-treatment TIR was higher, and MAGE, CV, SDBG, and MBG were lower than pre-treatment levels (P < 0.05). In the control group, post-treatment TIR was higher, and SDBG and MBG were lower than pre-treatment levels (P < 0.05). After treatment, the total score and scores for dietary management, exercise management, medication management, and blood glucose monitoring management in the self-management behavior scale were significantly higher in the treatment group than in the control group (P < 0.05). In the treatment group, post-treatment scores for all self-management behaviors were higher than pre-treatment levels, while post-treatment total scores and scores for medication management and blood glucose monitoring management in the control group were higher than pre-treatment levels (P < 0.05). Conclusion SMA management model can comprehensively improve blood glucose levels and enhance self-management behavior capabilities in GDM patients.

Objective: To investigate the relationship of sleep duration and sleep quality with anxiety in the elderly aged 60 years and older in China. Methods: The elderly aged 60 years and older were selected from the China Short-term Health Effects of Air Pollution Study conducted between July 18, 2017 and February 7, 2018. Multivariate logistic regression models were used to analyze the association of sleep duration and sleep quality with anxiety. Results: A total of 3 897 elderly aged 60 years and older were included in the study. The age of the elderly was (73.4±8.0) years old. Among the elderly surveyed, 6.5% were defined with anxiety, and 18.7% reported poor sleep quality. Multivariate logistic regression models showed shorter sleep duration was the risk factor for anxiety in the elderly that after adjusting for factors such as general demographics, socioeconomic factors, lifestyle, health status, social support and ambient fine particulates exposure. Compared with the elderly with 7 hours of sleep duration daily, the OR (95%CI) of anxiety for those with sleep duration ≤ 6 hours was 2.09 (1.49-2.93). Compared with those with good sleep quality, the OR (95%CI) of anxiety for those with poor sleep quality was 5.12 (3.88-6.77). We also found statistically significant correlations of the scores of subscales of Pittsburgh sleep quality index with anxiety, in which the effects of sleep disturbance, subjective sleep quality and daytime dysfunction scores were most obvious, the ORs (95%CI) were 4.63 (3.55-6.04), 2.75 (2.33-3.23) and 2.50 (2.19-2.86), respectively. Subgroup analysis showed that the association of sleep duration and sleep quality with anxiety was more obvious in males and in those aged <80 years. Conclusion Shorter sleep duration and poor sleep quality are associated with anxiety in the elderly in China.

Objective: To analyze influencing factors for depressive symptoms in the elderly aged 65 years and older in 8 longevity areas in China. Methods: We recruited 2 180 participants aged 65 years and older in 8 longevity areas from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey in 2017. Multivariate logistic regression analysis was performed to evaluate the relationships of socio-demographic characteristics, behavioral lifestyle, chronic disease prevalence, functional status, family and social support with depressive symptoms in the elderly. Results: The detection rate of depression symptoms was 15.0% in the elderly aged 65 years and older in 8 longevity areas of China, and the detection rate of depression symptoms was 11.5% in men and 18.5% in women. Multivariate logistic regression analysis results showed that the detection rate of depressive symptoms was lower in the elderly who had regular physical exercises (OR=0.44, 95%CI: 0.26-0.74), frequent fish intakes (OR=0.57, 95%CI: 0.39-0.83), recreational activities (OR=0.65, 95%CI: 0.44-0.96), social activities (OR=0.28, 95%CI: 0.11-0.73) and community services (OR=0.68, 95%CI: 0.50-0.93). The elderly who were lack of sleep (OR=2.04, 95%CI: 1.49-2.80), had visual impairment (OR=1.54, 95%CI: 1.08-2.18), had gastrointestinal ulcer (OR=2.97, 95%CI: 1.53-5.77), had arthritis (OR=2.63, 95%CI: 1.61-4.32), had higher family expenditure than income (OR=1.80, 95%CI: 1.17-2.78) and were in poor economic condition (OR=4.58, 95%CI: 2.48-8.47) had higher detection rate of depressive symptoms. Conclusion The status of doing physical exercise, fish intake in diet, social activity participation, sleep quality or vision, and the prevalence of gastrointestinal ulcers and arthritis were associated with the detection rate of depressive symptoms in the elderly.

Objective: To establish a prediction model for 6-year incidence risk of chronic kidney disease (CKD) in the elderly aged 65 years and older in China. Methods: In this prospective cohort study, we used the data of 3 742 participants collected during 2008/2009-2014 and during 2012-2017/2018 from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey. Two follow up surveys for renal function were successfully conducted for 1 055 participants without CKD in baseline survey. Lasso method was used for the selection of risk factors. The risk prediction model of CKD was established by using Cox proportional hazards regression models and visualized through nomogram tool. Bootstrap method (1 000 resample) was used for internal validation, and the performance of the model was assessed by C-index and calibration curve. Results: The mean age of participants was (80.8±11.4) years. In 4 797 person years of follow up, CKD was found in 262 participants (24.8%). Age, BMI, sex, education level, marital status, having retirement pension or insurance, hypertension prevalence, blood uric acid, blood urea nitrogen and total cholesterol levels and estimated glomerular filtration rate in baseline survey were used in the model to predict the 6-year incidence risk of CKD in the elderly. The corrected C-index was 0.766, the calibration curve showed good consistence between predicted probability and observed probability in high risk group, but relatively poor consistence in low risk group. Conclusion The incidence risk prediction model of CKD established in this study has a good performance, and the nomogram can be used as visualization tool to predict the 6-year risk of CKD in the elderly aged 65 years and older in China.

The purpose of our study is to evaluate the diagnostic performance of radiomics in multi-class discrimination of lymphadenopathy based on elastography and B-mode dual-modal ultrasound images. We retrospectively analyzed a total of 251 lymph nodes (89 benign lymph nodes, 70 lymphoma and 92 metastatic lymph nodes) from 248 patients, which were examined by both elastography and B-mode sonography. Firstly, radiomic features were extracted from multimodal ultrasound images, including shape features, intensity statistics features and gray-level co-occurrence matrix texture features. Secondly, three feature selection methods based on information theory were used on the radiomic features to select different subsets of radiomic features, consisting of conditional infomax feature extraction, conditional mutual information maximization, and double input symmetric relevance. Thirdly, the support vector machine classifier was performed for diagnosis of lymphadenopathy on each radiomic subsets. Finally, we fused the results from different modalities and different radiomic feature subsets with Adaboost to improve the performance of lymph node classification. The results showed that the accuracy and overall 1 score with five-fold cross-validation were 76.09%±1.41% and 75.88%±4.32%, respectively. Moreover, when considering on benign lymph nodes, lymphoma or metastatic lymph nodes respectively, the area under the receiver operating characteristic curve of multi-class classification were 0.77, 0.93 and 0.84, respectively. This study indicates that radiomic features derived from multimodal ultrasound images are benefit for diagnosis of lymphadenopathy. It is expected to be useful in clinical differentiation of lymph node diseases.
Elasticity Imaging Techniques ; Humans ; Lymph Nodes ; Lymphadenopathy ; Retrospective Studies ; Ultrasonography

Objective? To construct the objective, scientific and practicable self-management assessment indicators for cancer patients with oral chemotherapy at home so as to provide a basis for medical staff to pertinently carry out self-management education and guarantee safety of patients with oral chemotherapy agents well. Methods? From July 2017 to June 2018, we preliminarily drew up the assessment indicators based on self-management theory by document analysis, semi-structured interviews and expert group discussion. And then, we determined the self-management assessment indicators for cancer patients with oral chemotherapy at home by two rounds of 18 experts enquiry with the method of Delphi. Results? Among two rounds of enquiry, the questionnaire recovery rate was 100% with high expert initiative. The expert authority coefficient and the coordination coefficient were 0.83 and 0.192 respectively (P＜ 0.05). Finally, a total of 5 primary indicators and 38 secondary indicators were determined. Conclusions? The self-management assessment indicators for cancer patients with oral chemotherapy at home are scientific and reliable which are convenient for medical staff to understand patients' self-management and to provide high quality of nursing for cancer patients with oral chemotherapy at home.