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Construction and validation of a risk prediction model for frailty among older adults living alone
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Shu-chen XIE1, 2, 3, 4, Xiao-qing ZHAO2, 3, 4, 5, Jin-man DU1, 2, 3, 4, Xiao-lan YANG1, 2, 3, 4, Zhi-wei DONG1, 2, 3, 4, Hai-yan LI1, 2, 3, 4, Qi JING1, 2, 3, 4
Modern Preventive Medicine | 2026, 53(14) : 2502 - 2509
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Modern Preventive Medicine | 2026, 53(14): 2502-2509
• Epidemiology and Statistical Methods Advance •
Construction and validation of a risk prediction model for frailty among older adults living alone
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Shu-chen XIE1, 2, 3, 4, Xiao-qing ZHAO2, 3, 4, 5, Jin-man DU1, 2, 3, 4, Xiao-lan YANG1, 2, 3, 4, Zhi-wei DONG1, 2, 3, 4, Hai-yan LI1, 2, 3, 4, Qi JING1, 2, 3, 4
Affiliations
  • School of Management, Shandong Second Medical University, Weifang, Shandong 261053, China
Published: 2026-07-25 doi: 10.20043/j.cnki.MPM.202509324
Outline
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Objective

To construct a predictive model for frailty risk among older adults living alone, identify key influencing factors, and provide scientific evidence for early screening and intervention of frailty.

Methods

Using data from the 2018 China Health and Retirement Longitudinal Study, 1 758 individuals aged 60 years and older living alone were enrolled. The dataset was divided into a training set (n=1 230) and a validation set (n=528) at a 7:3 ratio. The Frailty Index was constructed to assess frailty. Predictor variables were identified using a health ecology model, and LASSO regression and multivariable logistic regression were employed to select predictors influencing frailty in older adults living alone, thereby constructing a risk prediction model. Model performance was evaluated using metrics such as the area under the ROC curve, calibration curves and decision-making analysis curves.

Results

The frailty detection rate among older adults living alone was 24.6%. LASSO regression identified six potential predictors. Multivariate logistic regression revealed that advanced age, female gender, and poor sleep quality were risk factors for frailty among older adults living alone, while exercise and social engagement served as protective factors. In model validation, the area under the ROC curve was 0.822 for the training set and 0.767 for the validation set, and Hosmer-Lemeshow test value P > 0.05. Decision curve analysis indicated that the model demonstrated significantly superior net benefit compared to extreme scenarios within the 0.1-0.75 interval.

Conclusion

The frailty risk prediction model developed for older adults living alone in this study exhibits good predictive performance and clinical applicability, providing a reference for primary healthcare workers to conduct frailty screening among key populations.

Living-alone older adults  /  Frailty  /  Risk factors  /  Prediction model  /  Nomograms
谢抒宸, 赵晓晴, 杜金曼, 杨小兰, 董志伟, 李海燕, 井淇. 独居老年人衰弱的风险预测模型构建与验证研究. 现代预防医学, 2026 , 53 (14) : 2502 -2509 . DOI: 10.20043/j.cnki.MPM.202509324
Shu-chen XIE, Xiao-qing ZHAO, Jin-man DU, Xiao-lan YANG, Zhi-wei DONG, Hai-yan LI, Qi JING. Construction and validation of a risk prediction model for frailty among older adults living alone[J]. Modern Preventive Medicine, 2026 , 53 (14) : 2502 -2509 . DOI: 10.20043/j.cnki.MPM.202509324
Year 2026 volume 53 Issue 14
182
80
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Article Info
doi: 10.20043/j.cnki.MPM.202509324
  • Receive Date:2025-09-19
  • Online Date:2026-09-28
  • Published:2026-07-25
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  • Received:2025-09-19
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    School of Management, Shandong Second Medical University, Weifang, Shandong 261053, China
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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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