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Construction and validation of the social frailty risk prediction model for elderly people with chronic diseases in communities
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Zhaoying HAN, Kejin SHI, Yaning ZHAO, Jianmin LI, Yao LIU
Chinese Nursing Research | 2026, 40(8) : 1257 - 1264
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Chinese Nursing Research | 2026, 40(8): 1257-1264
• Original Articles •
Construction and validation of the social frailty risk prediction model for elderly people with chronic diseases in communities
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Zhaoying HAN, Kejin SHI, Yaning ZHAO, Jianmin LI, Yao LIU
Affiliations
  • 1College of Nursing and Rehabilitation, North China University of Science and Technology, Hebei 063210 China
Published: 2026-04-25 doi: 10.12102/j.issn.1009-6493.2026.08.003
Outline
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Objective

To construct the social frailty risk prediction model for elderly people with chronic diseases in communities,and to explore the predictive value of intrinsic capacity for social frailty among them.

Methods

A total of 785 elderly patients with chronic diseases in the communities,who were surveyed in Lu'nan district of Tangshan city from July 2024 to May 2025,were selected as research subjects.LASSO regression was used to screen the variables.Logistic regression analysis was conducted to analyze the influencing factors.A column chart was drawn,and a baseline model without intrinsic ability variables and a prediction model including intrinsic capacity variables were constructed.

Results

The detection rate of social frailty among community-dwelling elderly with chronic diseases was 23.69%.The results of Logistic regression analysis showed that age,educational level,duration of chronic disease,level of e-health literacy,satisfaction with community public services,family function,and intrinsic capacity were the influencing factors of social frailty in community-dwelling elderly with chronic diseases(all P<0.05).Two models were established,one without the intrinsic ability variable and the other with the intrinsic ability variable.The results showed that the prediction model had significantly improved reclassification ability and discriminative ability compared to the baseline model.The area under the ROC curve of the prediction model training set and validation set was 0.828 and 0.856 respectively.The DCA curve indicated that the model had good clinical practicability.

Conclusions

The social frailty risk prediction model for elderly people with chronic diseases in the communities had certain predictive efficacy.It could be used to identify the risk of social frailty in elderly people with chronic diseases in the communities at an early stage.It could provide basis for taking timely preventive and intervention measures.

communities  /  chronic disease  /  social frailty  /  prediction model  /  intrinsic capacity
韩朝颖, 石珂金, 赵雅宁, 李建民, 刘瑶. 社区慢性病老年人社会衰弱风险预测模型的构建及验证. 护理研究, 2026 , 40 (8) : 1257 -1264 . DOI: 10.12102/j.issn.1009-6493.2026.08.003
Zhaoying HAN, Kejin SHI, Yaning ZHAO, Jianmin LI, Yao LIU. Construction and validation of the social frailty risk prediction model for elderly people with chronic diseases in communities[J]. Chinese Nursing Research, 2026 , 40 (8) : 1257 -1264 . DOI: 10.12102/j.issn.1009-6493.2026.08.003
Year 2026 volume 40 Issue 8
36
12
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Article Info
doi: 10.12102/j.issn.1009-6493.2026.08.003
  • Receive Date:2025-07-25
  • Online Date:2026-10-28
  • Published:2026-04-25
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History
  • Received:2025-07-25
  • Revised:2026-04-02
Affiliations
    1College of Nursing and Rehabilitation, North China University of Science and Technology, Hebei 063210 China

Corresponding:

ZHAO Yaning, E-mail:
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表12种不同金属材料的力学参数
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Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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