Objective:To analyze the status of social support and the influencing factors of support utilization among general practitioners.Methods:An investigation on the status of social support and the influencing factors of support utilization was conducted among general practitioners (GPs) from 6 communities in Shanghai Minhang District selected by simple sampling method in February 2023. The investigation included a questionnaire survey containing basic information and intervention measures (emotional support, information support, tool support); and assessments of the Social Support Rate Scale (SSRS), Perceived Social Support Scale, General Self-Efficacy Scale, Quality of Work Life Scale, Trait Coping Style Scale, and Psychological Resilience Scale. The association of social support status with various characteristics of GPs and their perceived social support and trait coping style was analyzed, and the influencing factors of social support utilization were determined.Results:A total of 184 questionnaires were distributed and 184 valid questionnaires were collected, with an effective recovery rate of 100.00%. Among the 184 participants, 55 (29.89%) had a general level of social support, and 129 (70.11%) were satisfied with their social support. The total score of SSRS was (37.49±8.41), with the objective support dimension scoring (9.67±3.42), subjective support scoring (20.04±4.52), and support utilization scoring (7.77±2.09). Univariate analysis showed significant differences in social support levels among respondents with different marital status, number of children, emotional support, informational support, instrumental support, positive coping, negative coping, psychological resilience, compassion fatigue, general self-efficacy, and perceived social support status ( P<0.05). Multiple linear regression analysis indicated that marital status, family support, professional skills, positive coping, and negative coping were independent influencing factors of social support. Among these factors, being married, having family care support, professional titles and skills and positive coping had a positive impact on social support levels, while negative coping had a negative impact ( P<0.05). Further stepwise multiple linear regression analysis showed that friend support, positive coping and family care were positive influencing factors for support utilization, while negative coping was a negative influencing factor ( P<0.05). Conclusion:The levels of social support among GPs in Minghang district of Shanghai are relatively high. Marital status, family support, professional title and skills and positive coping are positive factors for social support; and friend support, positive coping and family support are positive factors for support utilization.

Objective:To investigate the knowledge, attitudes, practices (KAP), and demands of medical staff in family physician teams regarding the application of artificial intelligence (AI) in contracted services, and to analyze the influencing factors.Methods:A cross-sectional study was conducted from June to July 2023. A total of 602 medical staff members from family physician teams in Shanghai Minhang District were selected as subjects. Data on demographics (age, gender, institution, position, education, work experience, household registration, professional title, marital status, fertility status) and KAP/demand regarding AI application in contracted services were collected using a self-designed questionnaire. Intergroup differences were analyzed. Multiple stepwise linear regression was employed to identify the main factors influencing AI application demand.Results:Among the 602 participants, 484 (80.4%) were aged 30-49 years, 466 (77.40%) were females, 559 (92.9%) held a bachelor′s degree or higher, and 505 (83.9%) had intermediate or senior professional titles. The awareness rate for knowledge, positive attitude rate, and practice implementation rate regarding AI application were 47.2% (284/602), 73.1% (440/602), and 32.1% (193/602), respectively. The mean scores for knowledge, attitude, and practice were 15.72±3.40, 18.34±3.41, and 14.60±3.89, respectively. Significant differences were found among the items within each KAP dimension (knowledge: F=7.688, P<0.001; attitude: F=5.106, P<0.001; practice: F=6.763, P<0.001). Within knowledge, item K3 (awareness of intelligent elderly monitoring devices) scored lowest (3.00±0.79), differing significantly from K1, K2, K4, and K5 (all P<0.05). Within attitude, item A5 (willingness to fully trust AI′s accuracy and convenience in contracted services) scored lowest (3.57±0.75), differing significantly from A3 and A4 (all P<0.05). Within practice, item P3 (increasing reliance on AI in daily contracted services) scored lowest (2.79±0.93), differing significantly from P1 and P2 (all P<0.05). KAP scores differed significantly across demographic subgroups. Knowledge scores differed significantly by age, gender, and marital status (all P<0.05). Attitude scores differed significantly by gender, household registration, and fertility status (all P<0.05). Practice scores differed significantly by gender, position, and marital status (all P<0.05). Regarding demand, the most frequently selected areas were follow-up services (28.74%, 173/602), data management (26.25%, 158/602), and data collection (25.42%, 153/602). Univariate analysis identified age, gender, education, professional title, fertility status, and KAP scores as significant factors influencing AI application demand (all P<0.05). Multiple stepwise linear regression revealed that older age ( t=3.905, P<0.001), female gender ( t=3.548, P<0.001), and higher practice scores ( t=-3.044, P=0.002) were significant predictors of greater AI application demand. Conclusions:Significant variations exist in the KAP levels regarding AI application among family physician team members. Gender, age, and practice behavior significantly influence demand. Tailored strategies for different subgroups, coupled with timely targeted training and practical exercises, are recommended to enhance the effective and widespread adoption of AI technology in family physician contracted services.

BACKGROUND:Estrogen receptor α can act as an upstream protein to regulate the expression and phosphorylation level of adenosine monophosphate-activated protein kinase(AMPK).Activation of the estrogen receptor α-AMPK signaling pathway promotes osteogenic proliferation and differentiation.OBJECTIVE:To explore the molecular mechanism of estrogen receptor α regulating AMPK and its effect on osteoblast proliferation and differentiation at osteoblast cell line and molecular biology levels.METHODS:(1)The passaged MC3T3-E1 mouse embryonic osteoblasts were divided into three groups:blank control group,mock group(transfected with pCDNA3.1 control plasmid),and estrogen receptor α group(transfected with pCDNA3.1-estrogen receptor α overexpression plasmid),and RT-qPCR and western blot methods were used to detect the hepatic kinase B1,CaMKKβ,and AMPKα1 mRNA,protein and phosphorylation levels.(2)ChIP-qPCR was used to demonstrate that estrogen receptor α interacts with the hepatic kinase B1 promoter.Dual luciferase assay was used to demonstrate that estrogen receptorα interacts with the hepatic kinase B1 promoter region to activate its transcriptional expression.(3)The cells were divided into three groups:mock+shNC group,estrogen receptor α+shNC group,and estrogen receptor α+shLKB1 group.Changes in the expression levels of hepatic kinase B1,phosphorylated hepatic kinase B1,and phosphorylated AMPKα1 proteins in the cells were detected by western blot.(4)The cells were divided into four groups:mock group,estrogen receptor α group,estrogen receptor α+5 μmol/L Compound C(AMPK inhibitor)group,and estrogen receptor α+10 μmol/L Compound C group.The expression of proteins related to the AMPK signaling pathway and related to osteogenesis and osteoinductivity were detected by western blot method.Cells were transfected for 24 hours and then subjected to osteogenic induction for 14 days.Alkaline phosphatase staining was performed and cell viability in each group was detected.Mineralized nodule formation was detected by alizarin red staining at 21 days of osteogenic induction.(5)The cells were transfected and pretreated with different concentrations of AMPK inhibitor in corresponding groups,and cell viability was detected by cell counting kit 8.RESULTS AND CONCLUSION:(1)Estrogen receptor α activates the AMPK signaling pathway in MC3T3-E1 cells.(2)Estrogen receptor α promotes liver kinase B1 transcription and mediates AMPK signaling pathway activation.(3)Estrogen receptor α promotes the proliferation and differentiation of MC3T3-E1 cells by activating the AMPK signaling pathway,and the expression of AMPKα1,p-AMPKα,osteoprotegerin,osteopontin,and Runx2 proteins was down-regulated under the intervention of AMPK inhibitor,and the viability of osteoblasts was decreased.(4)To conclude,estrogen receptor α activates the AMPK signaling pathway by acting on liver kinase B1 promoter,promotes osteoblast proliferation and osteogenic differentiation,and prevents osteoporosis.

BACKGROUND:Estrogen receptor α can act as an upstream protein to regulate the expression and phosphorylation level of adenosine monophosphate-activated protein kinase(AMPK).Activation of the estrogen receptor α-AMPK signaling pathway promotes osteogenic proliferation and differentiation.OBJECTIVE:To explore the molecular mechanism of estrogen receptor α regulating AMPK and its effect on osteoblast proliferation and differentiation at osteoblast cell line and molecular biology levels.METHODS:(1)The passaged MC3T3-E1 mouse embryonic osteoblasts were divided into three groups:blank control group,mock group(transfected with pCDNA3.1 control plasmid),and estrogen receptor α group(transfected with pCDNA3.1-estrogen receptor α overexpression plasmid),and RT-qPCR and western blot methods were used to detect the hepatic kinase B1,CaMKKβ,and AMPKα1 mRNA,protein and phosphorylation levels.(2)ChIP-qPCR was used to demonstrate that estrogen receptor α interacts with the hepatic kinase B1 promoter.Dual luciferase assay was used to demonstrate that estrogen receptorα interacts with the hepatic kinase B1 promoter region to activate its transcriptional expression.(3)The cells were divided into three groups:mock+shNC group,estrogen receptor α+shNC group,and estrogen receptor α+shLKB1 group.Changes in the expression levels of hepatic kinase B1,phosphorylated hepatic kinase B1,and phosphorylated AMPKα1 proteins in the cells were detected by western blot.(4)The cells were divided into four groups:mock group,estrogen receptor α group,estrogen receptor α+5 μmol/L Compound C(AMPK inhibitor)group,and estrogen receptor α+10 μmol/L Compound C group.The expression of proteins related to the AMPK signaling pathway and related to osteogenesis and osteoinductivity were detected by western blot method.Cells were transfected for 24 hours and then subjected to osteogenic induction for 14 days.Alkaline phosphatase staining was performed and cell viability in each group was detected.Mineralized nodule formation was detected by alizarin red staining at 21 days of osteogenic induction.(5)The cells were transfected and pretreated with different concentrations of AMPK inhibitor in corresponding groups,and cell viability was detected by cell counting kit 8.RESULTS AND CONCLUSION:(1)Estrogen receptor α activates the AMPK signaling pathway in MC3T3-E1 cells.(2)Estrogen receptor α promotes liver kinase B1 transcription and mediates AMPK signaling pathway activation.(3)Estrogen receptor α promotes the proliferation and differentiation of MC3T3-E1 cells by activating the AMPK signaling pathway,and the expression of AMPKα1,p-AMPKα,osteoprotegerin,osteopontin,and Runx2 proteins was down-regulated under the intervention of AMPK inhibitor,and the viability of osteoblasts was decreased.(4)To conclude,estrogen receptor α activates the AMPK signaling pathway by acting on liver kinase B1 promoter,promotes osteoblast proliferation and osteogenic differentiation,and prevents osteoporosis.

Objective:To analyze the status of social support and the influencing factors of support utilization among general practitioners.Methods:An investigation on the status of social support and the influencing factors of support utilization was conducted among general practitioners (GPs) from 6 communities in Shanghai Minhang District selected by simple sampling method in February 2023. The investigation included a questionnaire survey containing basic information and intervention measures (emotional support, information support, tool support); and assessments of the Social Support Rate Scale (SSRS), Perceived Social Support Scale, General Self-Efficacy Scale, Quality of Work Life Scale, Trait Coping Style Scale, and Psychological Resilience Scale. The association of social support status with various characteristics of GPs and their perceived social support and trait coping style was analyzed, and the influencing factors of social support utilization were determined.Results:A total of 184 questionnaires were distributed and 184 valid questionnaires were collected, with an effective recovery rate of 100.00%. Among the 184 participants, 55 (29.89%) had a general level of social support, and 129 (70.11%) were satisfied with their social support. The total score of SSRS was (37.49±8.41), with the objective support dimension scoring (9.67±3.42), subjective support scoring (20.04±4.52), and support utilization scoring (7.77±2.09). Univariate analysis showed significant differences in social support levels among respondents with different marital status, number of children, emotional support, informational support, instrumental support, positive coping, negative coping, psychological resilience, compassion fatigue, general self-efficacy, and perceived social support status ( P<0.05). Multiple linear regression analysis indicated that marital status, family support, professional skills, positive coping, and negative coping were independent influencing factors of social support. Among these factors, being married, having family care support, professional titles and skills and positive coping had a positive impact on social support levels, while negative coping had a negative impact ( P<0.05). Further stepwise multiple linear regression analysis showed that friend support, positive coping and family care were positive influencing factors for support utilization, while negative coping was a negative influencing factor ( P<0.05). Conclusion:The levels of social support among GPs in Minghang district of Shanghai are relatively high. Marital status, family support, professional title and skills and positive coping are positive factors for social support; and friend support, positive coping and family support are positive factors for support utilization.

Objective:To investigate the knowledge, attitudes, practices (KAP), and demands of medical staff in family physician teams regarding the application of artificial intelligence (AI) in contracted services, and to analyze the influencing factors.Methods:A cross-sectional study was conducted from June to July 2023. A total of 602 medical staff members from family physician teams in Shanghai Minhang District were selected as subjects. Data on demographics (age, gender, institution, position, education, work experience, household registration, professional title, marital status, fertility status) and KAP/demand regarding AI application in contracted services were collected using a self-designed questionnaire. Intergroup differences were analyzed. Multiple stepwise linear regression was employed to identify the main factors influencing AI application demand.Results:Among the 602 participants, 484 (80.4%) were aged 30-49 years, 466 (77.40%) were females, 559 (92.9%) held a bachelor′s degree or higher, and 505 (83.9%) had intermediate or senior professional titles. The awareness rate for knowledge, positive attitude rate, and practice implementation rate regarding AI application were 47.2% (284/602), 73.1% (440/602), and 32.1% (193/602), respectively. The mean scores for knowledge, attitude, and practice were 15.72±3.40, 18.34±3.41, and 14.60±3.89, respectively. Significant differences were found among the items within each KAP dimension (knowledge: F=7.688, P<0.001; attitude: F=5.106, P<0.001; practice: F=6.763, P<0.001). Within knowledge, item K3 (awareness of intelligent elderly monitoring devices) scored lowest (3.00±0.79), differing significantly from K1, K2, K4, and K5 (all P<0.05). Within attitude, item A5 (willingness to fully trust AI′s accuracy and convenience in contracted services) scored lowest (3.57±0.75), differing significantly from A3 and A4 (all P<0.05). Within practice, item P3 (increasing reliance on AI in daily contracted services) scored lowest (2.79±0.93), differing significantly from P1 and P2 (all P<0.05). KAP scores differed significantly across demographic subgroups. Knowledge scores differed significantly by age, gender, and marital status (all P<0.05). Attitude scores differed significantly by gender, household registration, and fertility status (all P<0.05). Practice scores differed significantly by gender, position, and marital status (all P<0.05). Regarding demand, the most frequently selected areas were follow-up services (28.74%, 173/602), data management (26.25%, 158/602), and data collection (25.42%, 153/602). Univariate analysis identified age, gender, education, professional title, fertility status, and KAP scores as significant factors influencing AI application demand (all P<0.05). Multiple stepwise linear regression revealed that older age ( t=3.905, P<0.001), female gender ( t=3.548, P<0.001), and higher practice scores ( t=-3.044, P=0.002) were significant predictors of greater AI application demand. Conclusions:Significant variations exist in the KAP levels regarding AI application among family physician team members. Gender, age, and practice behavior significantly influence demand. Tailored strategies for different subgroups, coupled with timely targeted training and practical exercises, are recommended to enhance the effective and widespread adoption of AI technology in family physician contracted services.

Effect and safety of repeated embryo aspiration for reduction of muhifetal cervical pregnancy Was retrospectively evaluated.Three women with muhifetal cervical pregnancy successfully received conservative treatment of repeated embryo aspiration under the guidance of transvaginal ultrasound,and the gestational sac contents were aspirated completely.Local(2.5～5.0 mg injectable methotrexate,MTX) or systemic medication was used.Our findings showed that repeated embryo aspiration for reduction of cervical multifetal pregnancy could improve the coupe of disease,decrease systemic medication of MTX,and discontinue a cervical pregnancy within 8 weeks effectively and safely.However,the mminimum therapeutic dose of MTX remained to be explored.