Objective:To investigate the correlations between physical, psychological and social frailty in elderly patients with multimorbidity.Methods:This study utilized a mixed method. A questionnaire survey was conducted from February to June 2024, among elderly patients with multimorbidity attending 4 primary health care centers in urban Beijing selected by the convenience sampling method. The FRAIL Frailty Assessment Scale, WHO-5 Index of Well-Being Scale, and HALFT Scale were used to assess the patients′ physical, psychological, and social frailty, respectively. Spearman correlation analysis was used to analyze the correlation between different dimensions of frailty in elderly with multimorbidity. Logistic regression model was used to analyze the factors influencing physical, psychological and social frailty. The elderly with multimorbidity who were assessed to have at least 1 or more types of frailty in the quantitative study were selected for in-depth interviews in the form of online and offline combination. The topics of in-depth interview included the real experience of the different dimensions of frailty, the possible causes and the difficulties caused. The sample size was determined according to the principle of information saturation. Thematic analysis was used to summarize, code and analyze the interview data.Results:A total of 919 participants were included in the quantitative study, with a mean age of (74.09±6.03) years, 329(35.80%) were males and 590(64.20%) were females. The prevalence of physical, psychological, and social frailty was 17.85%(164/919), 21.44%(197/919), 11.21%(103/919), respectively. A total of 21 participants were included in the qualitative study, with a mean age (76.90±5.13)years, 5(23.81%) males and 16(76.19%) females. Spearman correlation analysis showed that physical and psychological frailty were moderately correlated ( r=0.311, P<0.001), psychological and social frailty were weakly correlated ( r=0.218, P<0.001), and physical and social frailty were weakly correlated ( r=0.267, P<0.001). Logistic regression analysis showed that the age, the number of multimorbidities, the psychological frailty and social frailty were the influencing factors for physical frailty (all P<0.05). The gender, number of multimorbidity, type of medication taken, physical frailty and social frailty were influencing factors of psychological frailty (all P<0.05). And age, number of multimorbidities, physical frailty and psychological frailty were influencing factors of social frailty (all P<0.05). A total of 3 themes were extracted through in-depth interviews, namely, "physical and psychological frailty are interrelated""physical and social frailty are interrelated", and "psychological and social frailty are interrelated". Conclusions:The physical, psychological, and social frailty in elderly patients with multimorbidity interacts with each other. Whereas the number of multimorbidities is a common risk factor for all three.

Objective:To analyze the current status, research hotspots, and development trends on the integration of primary care and prevention in China.Methods:This was a bibliometric analysis. Literature related to research on the integration of primary care and prevention in China was retrieved from CNIKI, Wanfang, VIP, Chinese Medical Journal Full Text Database, PubMed, and Web of Science for the period from January 1, 2015, to April 1, 2025. CiteSpace software was used to conduct a visual analysis of publication volume, authors and their collaborations, institutions, and keywords in the included literature.Results:A total of 292 domestic publications on the integration of primary healthcare and public health were analyzed. Research on primary healthcare-public health integration in China exhibited an overall upward trend from 2015 to 2025. Based on publication volume and temporal distribution, domestic research can be categorized into an exploratory phase (2015-2020) and a rapid development phase (2021-2025). The institutions publishing relevant research were predominantly universities and research centers, with a low institutional network density (0.013), indicating relative weak inter-institutional collaboration. The co-occurrence density among authors was 0.013 9. Collaboration predominantly occurred in small clusters, with limited cross-regional cooperation. Keywords that appeared frequently and had an intermediary centrality exceeding 0.1 included chronic diseases (0.40), public health (0.23),health management (0.18), and hypertension (0.17). Keyword clustering analysis showed that the top three categories mainly focused on public health, chronic diseases, and health management. Since 2024, emerging keywords with high burst intensity have included big data, health literacy, primary care hospitals, and infectious diseases.Conclusions:Research on the integration of medical and preventive care at the primary healthcare level in China has entered a stage of rapid development. Current research hotspots focus primarily on chronic disease management, the implementation status and barriers of primary healthcare and prevention integration models. Future research is expected to emphasize the application of intelligent technologies, and the enhancement of public health emergency response capacity.

Objective:To construct a rat model of non-alcoholic fatty liver disease(NAFLD)by choline-deficient high fat diet(CDHFD),and to observe the association between feeding cycle and antioxidant pathway.Methods:The study lasted 16 weeks and was divided into 4 cycles.Detection of pathological changes and expression of antioxidant enzymes in rats liver in different cycles.Results:The early stage of liver steatosis and inflammation in model rats was 2～4 weeks,non-alcoholic steatohepatitis(NASH)stage was 4～8 weeks,and liver fibrosis progression was 8～16 weeks.Mechanistic studies had shown that the expressions of antioxidant enzymes Nrf2,SOD and GSH-Px in the liver of NAFLD rats gradually decreased with the extension of the feeding cycle.Conclusion:Different modeling cycles can successfully induce the pathological changes of steatosis,inflammation and liver fibrosis in rat liver,and the pathological changes are time-dependent with the expressions of antioxidant enzymes.

Objective:To construct a rat model of non-alcoholic fatty liver disease(NAFLD)by choline-deficient high fat diet(CDHFD),and to observe the association between feeding cycle and antioxidant pathway.Methods:The study lasted 16 weeks and was divided into 4 cycles.Detection of pathological changes and expression of antioxidant enzymes in rats liver in different cycles.Results:The early stage of liver steatosis and inflammation in model rats was 2～4 weeks,non-alcoholic steatohepatitis(NASH)stage was 4～8 weeks,and liver fibrosis progression was 8～16 weeks.Mechanistic studies had shown that the expressions of antioxidant enzymes Nrf2,SOD and GSH-Px in the liver of NAFLD rats gradually decreased with the extension of the feeding cycle.Conclusion:Different modeling cycles can successfully induce the pathological changes of steatosis,inflammation and liver fibrosis in rat liver,and the pathological changes are time-dependent with the expressions of antioxidant enzymes.

Objective:To investigate the correlations between physical, psychological and social frailty in elderly patients with multimorbidity.Methods:This study utilized a mixed method. A questionnaire survey was conducted from February to June 2024, among elderly patients with multimorbidity attending 4 primary health care centers in urban Beijing selected by the convenience sampling method. The FRAIL Frailty Assessment Scale, WHO-5 Index of Well-Being Scale, and HALFT Scale were used to assess the patients′ physical, psychological, and social frailty, respectively. Spearman correlation analysis was used to analyze the correlation between different dimensions of frailty in elderly with multimorbidity. Logistic regression model was used to analyze the factors influencing physical, psychological and social frailty. The elderly with multimorbidity who were assessed to have at least 1 or more types of frailty in the quantitative study were selected for in-depth interviews in the form of online and offline combination. The topics of in-depth interview included the real experience of the different dimensions of frailty, the possible causes and the difficulties caused. The sample size was determined according to the principle of information saturation. Thematic analysis was used to summarize, code and analyze the interview data.Results:A total of 919 participants were included in the quantitative study, with a mean age of (74.09±6.03) years, 329(35.80%) were males and 590(64.20%) were females. The prevalence of physical, psychological, and social frailty was 17.85%(164/919), 21.44%(197/919), 11.21%(103/919), respectively. A total of 21 participants were included in the qualitative study, with a mean age (76.90±5.13)years, 5(23.81%) males and 16(76.19%) females. Spearman correlation analysis showed that physical and psychological frailty were moderately correlated ( r=0.311, P<0.001), psychological and social frailty were weakly correlated ( r=0.218, P<0.001), and physical and social frailty were weakly correlated ( r=0.267, P<0.001). Logistic regression analysis showed that the age, the number of multimorbidities, the psychological frailty and social frailty were the influencing factors for physical frailty (all P<0.05). The gender, number of multimorbidity, type of medication taken, physical frailty and social frailty were influencing factors of psychological frailty (all P<0.05). And age, number of multimorbidities, physical frailty and psychological frailty were influencing factors of social frailty (all P<0.05). A total of 3 themes were extracted through in-depth interviews, namely, "physical and psychological frailty are interrelated""physical and social frailty are interrelated", and "psychological and social frailty are interrelated". Conclusions:The physical, psychological, and social frailty in elderly patients with multimorbidity interacts with each other. Whereas the number of multimorbidities is a common risk factor for all three.

Objective:To analyze the current status, research hotspots, and development trends on the integration of primary care and prevention in China.Methods:This was a bibliometric analysis. Literature related to research on the integration of primary care and prevention in China was retrieved from CNIKI, Wanfang, VIP, Chinese Medical Journal Full Text Database, PubMed, and Web of Science for the period from January 1, 2015, to April 1, 2025. CiteSpace software was used to conduct a visual analysis of publication volume, authors and their collaborations, institutions, and keywords in the included literature.Results:A total of 292 domestic publications on the integration of primary healthcare and public health were analyzed. Research on primary healthcare-public health integration in China exhibited an overall upward trend from 2015 to 2025. Based on publication volume and temporal distribution, domestic research can be categorized into an exploratory phase (2015-2020) and a rapid development phase (2021-2025). The institutions publishing relevant research were predominantly universities and research centers, with a low institutional network density (0.013), indicating relative weak inter-institutional collaboration. The co-occurrence density among authors was 0.013 9. Collaboration predominantly occurred in small clusters, with limited cross-regional cooperation. Keywords that appeared frequently and had an intermediary centrality exceeding 0.1 included chronic diseases (0.40), public health (0.23),health management (0.18), and hypertension (0.17). Keyword clustering analysis showed that the top three categories mainly focused on public health, chronic diseases, and health management. Since 2024, emerging keywords with high burst intensity have included big data, health literacy, primary care hospitals, and infectious diseases.Conclusions:Research on the integration of medical and preventive care at the primary healthcare level in China has entered a stage of rapid development. Current research hotspots focus primarily on chronic disease management, the implementation status and barriers of primary healthcare and prevention integration models. Future research is expected to emphasize the application of intelligent technologies, and the enhancement of public health emergency response capacity.

Nonalcoholic steatohepatitis (NASH) is an important part of the exacerbation of nonalcoholic fatty liver disease (NAFLD), and inflammation and liver damage are important pathological features of this stage. As one of the pathogenic mechanisms of NASH, lipotoxicity can regulate liver inflammation and hepatocyte apoptosis through multiple pathways. Therefore, this article elaborates on the specific regulatory mechanism of lipotoxicity on NASH from the two aspects of inflammation and hepatocyte apoptosis, which involves a variety of liver nonparenchymal cells and various signaling pathways such as JNK, NF-κB, and caspase-mediated cell apoptosis, so as to provide new ideas for the diagnosis and treatment of NASH in clinical practice.

Objective:To compare the prevalence of non-alcoholic fatty liver disease (NAFLD) in women with or without polycystic ovary syndrome (PCOS), and to evaluate association between PCOS and NAFLD.Methods:A cross-sectional study was performed including 122 PCOS patients (PCOS group) and 107 age, and body mass index (BMI)-matched women (control group). Anthropometric parameters, liver enzyme, lipid profile, glucose and insulin levels, sex hormones and hepatic ultrasonography were measured in all subjects. The clinical features, laboratory parameters and prevalence of NAFLD were compared between PCOS group and control group. The related factors were evaluated between PCOS and NAFLD, finally the role of insulin resistance (IR) and hyperandrogenism (HA) was analysed.Results:Women with PCOS had a significantly higher prevalence of NAFLD than those without PCOS (62.6% vs. 76.2%, P=0.025). Logistic regression found that HOMA-IR and FAI were associated with NAFLD in PCOS women ( OR=1.686, 95% CI=1.279-2.223; OR=1.167, 95% CI=1.039-1.311), however, there was no significant correlation between FAI and NAFLD after adjustment for HOMA-IR ( P>0.05). Conclusion:NAFLD is more prevalent in women with PCOS than in those without. Insulin resistance and HA drive risk of NAFLD in young female with PCOS. IR may be an independent risk factor for NAFLD, and the association between HA and NAFLD is not independent but is mediated by IR.

Objective:To compare the prevalence of non-alcoholic fatty liver disease (NAFLD) in women with or without polycystic ovary syndrome (PCOS), and to evaluate association between PCOS and NAFLD.Methods:A cross-sectional study was performed including 122 PCOS patients (PCOS group) and 107 age, and body mass index (BMI)-matched women (control group). Anthropometric parameters, liver enzyme, lipid profile, glucose and insulin levels, sex hormones and hepatic ultrasonography were measured in all subjects. The clinical features, laboratory parameters and prevalence of NAFLD were compared between PCOS group and control group. The related factors were evaluated between PCOS and NAFLD, finally the role of insulin resistance (IR) and hyperandrogenism (HA) was analysed.Results:Women with PCOS had a significantly higher prevalence of NAFLD than those without PCOS (62.6% vs. 76.2%, P=0.025). Logistic regression found that HOMA-IR and FAI were associated with NAFLD in PCOS women ( OR=1.686, 95% CI=1.279-2.223; OR=1.167, 95% CI=1.039-1.311), however, there was no significant correlation between FAI and NAFLD after adjustment for HOMA-IR ( P>0.05). Conclusion:NAFLD is more prevalent in women with PCOS than in those without. Insulin resistance and HA drive risk of NAFLD in young female with PCOS. IR may be an independent risk factor for NAFLD, and the association between HA and NAFLD is not independent but is mediated by IR.