Objective To assess the current status and influencing factors of high-risk populations for osteosarcopenia in elderly community residents,and to construct a health portrait for this group,revealing population characteristics and differences.Methods A convenience sampling method was employed to recruit 800 community-dwelling older adults in Hangzhou,China,between August and December 2024.Data were collected using the following validated instruments,namely the General Information Questionnaire,Age-adjusted Charlson Comorbidity Index,Chinese version of the Nutritional Form for the Elderly,Osteoporosis Self-Efficacy Scale,Social Frailty Screening Tool,Osteoporosis Risk One-Minute Test,and Osteoporosis Self-Assessment Tool for Asians.Additionally,objective physical measurements were obtained,including calf circumference,handgrip strength,and five-times sit-to-stand test time.The influencing factors were analyzed using univariate analysis and binary logistic regression,and two-step cluster analysis was employed for clustering to construct group profiles.Results 770 valid questionnaires were collected.The detection rate of high-risk osteosarcopenia in the elderly community is 27.53％.Older age,low BMI,prolonged sitting,chronic pain,low intake of soy products,low osteoporosis self-efficacy,and high social frailty are associated with a higher risk of osteosarcopenia.Totally 3 population portraits were constructed through clustering,including health-maintenance type,risk-ignoring type,and active management type.Conclusion The detection rate of high-risk elderly individuals with osteosarcopenia in communities is relatively high,with significant differences across groups.Intervention strategies can be proposed based on different group characteristics,providing a reference for precise interventions.

Objective:To explore the dynamic relationship between college students' online psychological needs satisfaction dominance(OPNSD)and phubbing.OPNSD refers to the tendency of individuals to fulfill their basic psychological needs primarily through online environments.Methods:A sample of 340 college students from a university in Beijing participated in two data collections(T1 and T2)at 3-month intervals.OPNSD was calculated as the difference between scores on the Need Satisfaction Perceived Online Scale(NSPOS)and the Basic Need Sat-isfaction in General Scale(BNSGS).Phubbing and its 4 dimensions(self-isolation,nomophobia,interpersonal con-flict,and problem acknowledgment)were measured with the Generic Scale of Phubbing(GSP).A cross-lagged panel model was used to explore the relationship between the online psychological needs satisfaction dominance and phubbing.Results:Significant simultaneous(r=0.60,P＜0.001)and successive temporal(r=0.56,P＜0.001)correlations were observed between the OPNSD score and GSP score.T1 OPNSD score was positively associated with T2 GSP score in the dimensions of self-isolation,nomophobia,and interpersonal conflict(β=0.14,0.10,0.11;P＜0.001 or P＜0.05),but showed no association with the problem acknowledgement dimension score(β=0.07,P＞0.05).However,the four dimensions of T1 GSP score were not associated with T2 OPNSD score(Ps＞0.05).Conclusion:This study suggests that college students' online psychological needs satisfaction dominance positively predicts phubbing,highlighting the critical influence of online environments on mobile phone behaviors.

Objective:To explore the dynamic relationship between college students' online psychological needs satisfaction dominance(OPNSD)and phubbing.OPNSD refers to the tendency of individuals to fulfill their basic psychological needs primarily through online environments.Methods:A sample of 340 college students from a university in Beijing participated in two data collections(T1 and T2)at 3-month intervals.OPNSD was calculated as the difference between scores on the Need Satisfaction Perceived Online Scale(NSPOS)and the Basic Need Sat-isfaction in General Scale(BNSGS).Phubbing and its 4 dimensions(self-isolation,nomophobia,interpersonal con-flict,and problem acknowledgment)were measured with the Generic Scale of Phubbing(GSP).A cross-lagged panel model was used to explore the relationship between the online psychological needs satisfaction dominance and phubbing.Results:Significant simultaneous(r=0.60,P＜0.001)and successive temporal(r=0.56,P＜0.001)correlations were observed between the OPNSD score and GSP score.T1 OPNSD score was positively associated with T2 GSP score in the dimensions of self-isolation,nomophobia,and interpersonal conflict(β=0.14,0.10,0.11;P＜0.001 or P＜0.05),but showed no association with the problem acknowledgement dimension score(β=0.07,P＞0.05).However,the four dimensions of T1 GSP score were not associated with T2 OPNSD score(Ps＞0.05).Conclusion:This study suggests that college students' online psychological needs satisfaction dominance positively predicts phubbing,highlighting the critical influence of online environments on mobile phone behaviors.

Objective To assess the current status and influencing factors of high-risk populations for osteosarcopenia in elderly community residents,and to construct a health portrait for this group,revealing population characteristics and differences.Methods A convenience sampling method was employed to recruit 800 community-dwelling older adults in Hangzhou,China,between August and December 2024.Data were collected using the following validated instruments,namely the General Information Questionnaire,Age-adjusted Charlson Comorbidity Index,Chinese version of the Nutritional Form for the Elderly,Osteoporosis Self-Efficacy Scale,Social Frailty Screening Tool,Osteoporosis Risk One-Minute Test,and Osteoporosis Self-Assessment Tool for Asians.Additionally,objective physical measurements were obtained,including calf circumference,handgrip strength,and five-times sit-to-stand test time.The influencing factors were analyzed using univariate analysis and binary logistic regression,and two-step cluster analysis was employed for clustering to construct group profiles.Results 770 valid questionnaires were collected.The detection rate of high-risk osteosarcopenia in the elderly community is 27.53％.Older age,low BMI,prolonged sitting,chronic pain,low intake of soy products,low osteoporosis self-efficacy,and high social frailty are associated with a higher risk of osteosarcopenia.Totally 3 population portraits were constructed through clustering,including health-maintenance type,risk-ignoring type,and active management type.Conclusion The detection rate of high-risk elderly individuals with osteosarcopenia in communities is relatively high,with significant differences across groups.Intervention strategies can be proposed based on different group characteristics,providing a reference for precise interventions.

Monkeypox is a zoonotic disease.Previous studies have shown that children are vulnerable to monkeypox and are also at high risk for severe disease or complications.In order to improve pediatricians′ understanding of monkeypox and achieve early detection, early diagnosis, early treatment and early disposal, the committee composed of more than 40 experts in the related fields of infectious diseases, pediatrics, infection control and public health formulate this expert consensus, on the basis of the latest clinical management and infection prevention and control for monkeypox released by the World Health Organization (WHO), the guidelines for diagnosis and treatment of monkeypox (version 2022) issued by National Health Commission of the People′s Republic of China and other relevant documents.During the development of this consensus, multidisciplinary experts have repeatedly demonstrated the etiology, epidemiology, transmission, clinical manifestations, laboratory examinations, diagnosis and differential diagnosis, treatment, discharge criteria, prevention, case management process and key points of prevention and control about monkeypox.