ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

Objective To investigate the effect of bone metabolic markers on sarcopenia in elderly patients with type 2 diabetes mellitus (T2DM). Methods A total of 412 patients with T2DM in the department of endocrinology of Nanjing Central Hospital from May 2020 to June 2025 were selected as the research subjects. According to Asian Working Group for Sarcopenia (AWGS) in 2019, these patients were evaluated for skeletal muscle mass index (ASMI), muscle strength, and muscle function, and were divided into a sarcopenia group (84 cases) and a non-sarcopenia group (328 cases). The glucolipid metabolic indexes were detected in both groups of patients, and the bone metabolic markers were evaluated, including procollagen type 1 N-terminal peptide (P1NP), beta-C-terminal telopeptide of type 1 collagen (β-CTX), and 25-hydroxy vitamin D [25-(OH)D]. The factors influencing the occurrence of sarcopenia in T2DM patients were analyzed by logistic regression analysis, and the diagnostic values of bone metabolic markers on sarcopenia in patients with T2DM were assessed by ROC curve. Results The levels of P1NP and 25-(OH)D were lower, while β-CTX level was higher in the sarcopenia group compared to the non-sarcopenia group, with statistical differences (P<0.05). After logistic correlation analysis, it was found that P1NP, β-CTX and 25-(OH)D were all influencing factors for the occurrence of sarcopenia in T2DM patients. ROC curve analysis suggested that combined detection of PINP, β-CTX, and 25-(OH)D had higher diagnostic value, with an area under the curve up to 0.805. Conclusion The abnormal expression of bone metabolic markers is associated with the increased risk of sarcopenia in patients with T2DM. The detection of serum bone metabolic markers expression level is of certain significance for the assessment of diabetes-related sarcopenia.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

BackgroundIndividuals with chronic multimorbidity exhibit a high prevalence of sleep disturbances， which impair their physical and psychological well-being and impede chronic disease management. Although sleep quality is closely influencing with psychological functioning， empirical evidence regarding the longitudinal trajectories of sleep quality and their influencing factors in this population remains insufficient. ObjectiveTo investigate the longitudinal trajectories of sleep quality and associated factors among patients with chronic multimorbidity from hospitalization through 6 months post-discharge， aiming to facilitate the early identification of high-risk individuals and the development of personalized sleep interventions. MethodsA total of 228 inpatients with chronic multimorbidity， primarily with cardiovascular and metabolic chronic conditions， were enrolled via random sampling at The Third People's Hospital of Fuyang from January 2023 to September 2024. Baseline assessments were conducted during hospitalization using the general socio-demographic questionnaire， the Sleep Dysfunction Rating Scale （SDRS）， the Ruminative Response Scale （RRS）， and the Hospital Anxiety and Depression Scale （HADS）. Sleep quality was further evaluated using the SDRS at 1-， 3-， and 6-month post-discharge. Latent class growth model was employed to delineate trajectories of sleep quality. Multivariate logistic regression analysis was subsequently performed to identify influencing factors of sleep quality. ResultsA total of 201 patients with chronic diseases were included.Based on four predefined assessment time points （baseline， 1 month， 3 months， 6 months post-discharge）， the latent class growth model identified three distinct trajectories of sleep quality： persistent high sleep disturbance （n=72， 35.82%）， moderate sleep disturbance-progression （n=73， 36.32%）， and low sleep disturbance （n=56， 27.86%）. Multivariate logistic regression analysis revealed that， compared with the low sleep disturbance group， multiple factors increased the odds of membership in the persistent high sleep disturbance group： per capita monthly household income of <3 000 yuan （β=13.131， P<0.01） or 3 000–5 000 yuan （β=5.913， P<0.05）， aged 45–65 years （β=9.536， P<0.05）， presence of 3 （β=7.792， P<0.05） or >3 comorbid chronic conditions （β=6.626， P<0.05）， as well as higher RRS （β=0.334， P<0.01） and HADS score （β=1.628， P<0.01）. Additionally， patients aged 45–65 years （β=2.777， P<0.05）， with 3 （β=3.802， P<0.01） or >3 comorbid chronic conditions （β=2.463， P<0.01）， and with higher RRS （β=0.111， P<0.01） and HDAS scores （β=0.350， P<0.05） also demonstrated significantly increased odds of belonging to the moderate sleep disturbance–progression group. ConclusionThere is significant population heterogeneity in sleep quality trajectories among patients with chronic multimorbidity， with age， per capita household monthly income， number of comorbidities， rumination， and anxiety/depression symptoms being identify as the primary influencing factors.

OBJECTIVE To investigate the clinical efficacy and safety of Zhengxintai granules as in the treatment of microvascular angina （MVA） following percutaneous coronary intervention （PCI） in patients with acute ST-segment elevation myocardial infarction （STEMI） and qi deficiency and blood stasis syndrome. METHODS Patients with STEMI and qi deficiency and blood stasis syndrome who underwent PCI and developed MVA and were admitted to the Jinan Fourth People’s Hospital （Jinan Cardiovascular Hospital） from March 2022 to March 2025 were selected， they were randomly divided into the control group and the observation group according to a random number table， with 76 cases in each group. Patients in the control group received conventional Western medicine treatment combined with a placebo， while patients in the observation group received Zhengxintai granules （5 mg per dose， three times daily， for 8 weeks） in addition to conventional Western medicine treatment. The clinical efficacy [including the total effective rate of traditional Chinese medicine （TCM） syndrome improvement and the total effective rates of Western clinical efficacy] was compared between the two groups. The following indicators were detected before and after treatment： TCM syndrome scores， angina pectoris episodes [daily attack frequency， duration per attack， Visual Analogue Scale （VAS） score]， cardiac function indicators [lactate dehydrogenase （LDH）， N-terminal pro-B-type natriuretic peptide （NT-proBNP）， left ventricular end-diastolic dimension （LVEDD）， left ventricular end-systolic dimension （LVESD）， left ventricular ejection fraction （LVEF）， cardiac output （CO）， fractional shortening （FS）]， coagulation function indicators [thrombin time （TT）， prothrombin time （PT）， fibrinogen （FIB）]， fibrinolytic marker （D-dimer）， vascular endothelial function indicators [vascular endothelial growth factor （VEGF）， nitric oxide （NO）， endothelin-1 （ET-1）] and myocardial microcirculation hemodynamic indicators [end-diastolic velocity （EDV）， peak systolic velocity （PSV）， resistance index （RI）， pulsatility index （PI）]. The quality of life [Seattle Angina Questionnaire （SAQ） score] and the incidence of adverse reactions were also compared between the two groups. RESULTS There was no patient dropout during the entire course of the study. The total effective rates of improvement in TCM syndromes and the total effective rates of Western clinical efficacy in the observation group were significantly higher than those in the control group （93.42% vs. 82.89%， 94.74% vs. 84.21%， P＜0.05）. Before the treatment， the comparison of each examination indicator between the two groups showed no statistically significant differences （P＞0.05）. Compared with before treatment， the TCM syndrome scores， the number of daily angina pectoris attacks and the duration of each attack， the VAS scores， LDH， NT-proBNP， FIB， D-dimer， ET-1 levels， LVEDD， LVESD， RI and PI after treatment in both groups were significantly reduced， shortened or decreased （P＜0.05）； VEGF and NO levels， LVEF， CO， FS， TT， PT， EDV， PSV， and the standard scores of five dimensions including angina pectoris stability， as well as the total scores of SAQ， all significantly increased or prolonged （P＜0.05）. Furthermore， the improvements in the aforementioned indicators （except for LVEF） in the observation group were significantly greater than those in the control group （P＜0.05）. There was no statistically significant difference in the total incidence of adverse reactions between the two groups （P＞0.05）. CONCLUSIONS Zhengxintai granules， when used as an adjunct to conventional Western medicine， can significantly alleviate the related symptoms of MVA in STEMI patients with qi deficiency and blood stasis syndrome after PCI， repair damaged cardiac function， restore the balance of the coagulation-fibrinolysis system， improve vascular endothelial function and myocardial microcirculation perfusion， and significantly enhance the quality of life of patients

Background Cadmium (Cd) is a highly toxic heavy metal. Chronic low-dose cadmium exposure can lead to renal tubular dysfunction. However, the precise mechanisms by which cadmium induces renal tubular injury through disruption of intracellular metabolic networks remain incompletely understood. Objective To investigate the toxic effects of cadmium exposure on human renal tubular epithelial cells (HK-2) and to elucidate the associated metabolic regulatory network from the perspective of metabolic reprogramming. Methods An in vitro HK-2 cell injury model was established using 5 μmol·L⁻¹ cadmium chloride (CdCl₂). The expression of the renal injury marker kidney injury molecule-1 (KIM-1) was determined by Western blot (WB). Glycolytic capacity was evaluated by metabolic flux analysis. Mitochondrial reactive oxygen species (ROS) production was assessed with a fluorescent probe. Mitochondrial membrane potential (MMP) was evaluated after JC-1 staining. Intracellular adenosine triphosphate (ATP) levels were measured using an ATP assay kit. In addition, untargeted metabolomics analysis was conducted to characterize alterations in the intracellular metabolic fingerprint profile and to explore the metabolic pathway changes underlying cadmium-induced renal tubular epithelial cell injury. Results Cadmium exposure induced injury in HK-2 cells, as indicated by mitochondrial membrane depolarization, increased mitochondrial ROS levels, and decreased intracellular ATP levels. Metabolic flux analysis further revealed significant metabolic reprogramming, characterized by compensatory increases in basal glycolytic rate and maximal glycolytic capacity. Untargeted metabolomics showed depletion of the long-chain acylcarnitine pool and deficiency of key metabolic cofactors, suggesting impaired fatty acid oxidation and mitochondrial energy metabolism. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis indicated that the differential metabolites were mainly enriched in oxidative phosphorylation and glycerophospholipid metabolism. Correlation analysis showed that acylcarnitines were negatively correlated with nucleic acid metabolism-related metabolites, whereas ATP was positively correlated with lysophosphatidylcholine, suggesting that cadmium exposure-induced mitochondrial dysfunction may be accompanied by abnormal DNA metabolism and lipid peroxidation. Conclusion Cadmium exposure could induce impaired mitochondrial function, and promote glycolytic metabolic reprogramming in renal tubular epithelial cells. These findings provide new insights into the metabolic mechanisms underlying cadmium-induced nephrotoxicity and may help identify potential metabolic targets for intervention.

ObjectiveTo investigate the patterns of chronic disease comorbidity among permanent elderly residents in Xuhui District of Shanghai, and to analyze the impact of different comorbidity patterns on the elderly’s ability to perform activities of daily living. MethodsBased on data from the 2015 and 2021 Surveys on Health Status and Health Service Utilization among Permanent Residents in Xuhui District of Shanghai, the study included permanent residents who fully participated in both surveys, were aged 60 years or older at the 2015 survey, self-reported having a chronic disease, and reported no significant changes in their chronic disease status between the two surveys. A prospective cohort study design was adopted, using the 2015 data as the baseline and the 2021 survey data as follow-up data. Physical examinations and questionnaire surveys were conducted by the Shanghai Xuhui District Center for Disease Control and Prevention in the subdistricts and towns within the jurisdiction from April to July in both 2015 and 2021. Latent class analysis (LCA) was used to classify comorbidity patterns across 11 types of chronic diseases. The smaller the values of the Akaike information criterion (AIC), the Bayesian information criterion (BIC), and the sample-corrected Bayesian information criterion (aBIC), the better the model fits. The Barthel index (BI) and the Lawton and Brody Instrumental Activities of Daily Living Scale (LB-IADL) were used to assess the participants’ activities of daily living (ADL) and instrumental activities of daily living (IADL). Multiple linear regression and multivariate logistic regression models were used to analyze the association between different comorbidity patterns and ADL and IADL. ResultsA total of 1 608 study participants were enrolled. Among them, 671 (41.73%) self-reported having no chronic diseases. The prevalence of 11 types of chronic diseases was as follows: hypertension in 743 participants (46.21%), heart disease in 148 participants (9.20%), cerebrovascular disease in 37 participants (2.30%), diabetes or abnormal blood glucose in 310 participants (19.28%), other endocrine system diseases (non-diabetic) in 39 participants (2.43%), malignant tumors in 37 participants (2.30%), chronic lung disease in 16 participants (1.00%), gout in 8 participants (0.50%), musculoskeletal disorders in 34 participants (2.11%), gastric or digestive system diseases in 27 participants (1.68%), and dyslipidemia in 15 participants (0.93%). LCA was used to classify comorbidity patterns of chronic diseases among older adults into 1 to 9 latent category combinations. Model 5 (i.e., 5 latent categories) had the lowest BIC (7 112.69) and aBIC (6 909.38), with a relatively low AIC (6 768.20), indicating the best model fit; thus, five latent categories represented the optimal combination in this study. The five latent categories (and their respective proportions of study participants) were the healthy control group (41.73%), the hypertension group (31.28%), the diabetes-hypertension group (19.28%), the severe illness group (5.29%), and the other metabolic diseases group (2.43%). According to multiple linear regression analyses, compared with the healthy control group, the diabetes-hypertension group had significantly lower BI-20 scores (b=-0.952, 95%CI: -1.317‒ -0.587, P<0.001) and lower IADL scores (b=-0.744, 95%CI: -0.999‒ -0.489, P<0.001); the severe illness group (b=-0.644, 95%CI: -1.072‒ -0.217, P=0.003) and the hypertension group (b=-0.344, 95%CI: -0.562‒ -0.125, P=0.002) had lower IADL scores. According to multivariate logistic regression analyses, compared with the healthy control group, older adults in the diabetes-hypertension group had a higher risk of disability (OR=2.835, 95%CI: 1.392‒5.774), impaired ADL function (OR=2.470, 95%CI: 1.637‒3.726), and impaired IADL function (OR=1.739, 95%CI: 1.264‒2.392); older adults in the severe illness group had a higher risk of impaired ADL function (OR=2.206, 95%CI: 1.171‒4.155). ConclusionAmong the elderly participating in the Survey on Health Status and Health Service Utilization of Permanent Residents in Xuhui District of Shanghai, diabetes-hypertension is one of the key chronic disease comorbidity combinations and has adverse effects on both ADL and IADL. Community health management should prioritize the elderly with diabetes-hypertension comorbidity, and strengthen early screening and comprehensive interventions to slow the decline in ADL and IADL.

Objective: To investigate the association characteristics between psychological resilience and Internet gaming addiction among primary and secondary school students across different educational stages, so as to provide evidence for stage specific intervention strategies. Methods: A total of 30 719 students from primary schools, junior high schools, and senior high schools in Guangzhou, were selected using a cluster random sampling method from October to December 2025. The 10 item Connor- Davidson Resilience Scale (CD-RISC-10) and the Internet Gaming Disorder Scale-Short Form (IGDS9-SF) were used to assess students phychological resilience and Internet gaming addication levels. One way analysis of variance was used for group comparisons. Network analysis was conducted to construct joint networks of psychological resilience and Internet gaming addiction across different educational stages, with a focus on identifying bridge nodes between the two domains. Results: Significant differences were observed in psychological resilience points (24.9±8.0, 24.3±8.2, 24.8±7.8) across priamry school, junior high school and senior high school ( F=18.91, P <0.01). There was a statistically significant difference in the scores of Internet game addiction points ( 17.7 ±7.6, 18.6±7.3, 19.2±7.0) among students across priamry school, junior high school and senior high school ( F=85.68, P <0.01). Psychological resilience was negatively correlated with Internet gaming addiction scores among primary school, junior high school, and senior high school students ( r =-0.27, -0.28, -0.19, all P <0.01). Network analysis revealed relatively close associations between psychological resilience and Internet gaming addiction across all educational stages. The bridge nodes were "withdrawal symptoms" for primary school, "toughness" for junior high school, and "loss of interest" for senior high school, with bridge expected influence values of 1.37, 1.31, and 1.18, respectively. The expected influence and bridge expected influence demonstrated good stability across the three educational stages, with correlation stability coefficients of 0.75. Conclusions The cross-community connections between psychological resilience and Internet gaming addiction differ across educational stages. Prevention and control of Internet gaming addiction should incorporate targeted interventions based on key bridge symptoms identified at each specific educational stage.

ObjectiveTo develop and validate a nomogram for predicting the risk of concurrent cognitive impairment in older adults with heart disease. MethodsSelf-reported data from 2 673 respondents in the 2020 China Health and Retirement Longitudinal Study were analyzed. The participants were randomly divided into a training set (n = 1 871) and a validation set (n = 802). Heart disease status was determined using a self-report questionnaire. Logistic regression analysis was performed to identify predictors, and a nomogram for predicting the risk of concurrent cognitive impairment in older adults with heart disease was developed using R software. Bootstrap resampling was used for internal validation, and model performance was further evaluated in the randomly split validation set. The predictive performance of the model was assessed using the area under the receiver operating characteristic curve (AUC) and calibration curves.. ResultsA total of 2 673 older adults with heart disease were included, out of whom 315 participants in the training set had cognitive impairment. Lasso regression analysis identified age, education level, place of residence, instrumental activities of daily living and depression as predictors of concurrent cognitive impairment. A prediction model incorporating these five variables was constructed. The AUC were 0.827 (95%CI 0.804 to 0.850) in the training set and 0.847 (95%CI 0.812 to 0.882) in the validation set. The Hosmer-Lemeshow test yielded P = 0.154 and P = 0.716 in the training and validation sets, respectively. Calibration curves showed good agreement between predicted and observed probabilities. Decision curve analysis indicated that the model provided favorable net benefit and predictive performance. ConclusionThe nomogram may provide a useful reference for risk screening and early intervention for cognitive impairment in older adults with heart disease.