关键词: 老年人, 肌少症, 骨质疏松症, 社区护理, 用户画像

Abstract:

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.

Key words: Aged, Sarcopenia, Osteoporosis, Community Nursing, User Portraits