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Analysis of factors influencing frailty in middle-aged and elderly patients with type H hypertension and development of a predictive model
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Ruo-lan LI1, 2, Ya-mei ZHANG1, 2, Qi ZHANG1, 2, Jian WANG1, 2, Hui QIAO1, 2
Modern Preventive Medicine | 2026, 53(6) : 961 - 967
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Modern Preventive Medicine | 2026, 53(6): 961-967
• Epidemiology and Statistical Methods Advances •
Analysis of factors influencing frailty in middle-aged and elderly patients with type H hypertension and development of a predictive model
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Ruo-lan LI1, 2, Ya-mei ZHANG1, 2, Qi ZHANG1, 2, Jian WANG1, 2, Hui QIAO1, 2
Affiliations
  • School of Public Health,Ningxia Medical University,Yinchuan, Ningxia 750004,China
Published: 2026-03-25 doi: 10.20043/j.cnki.MPM.202511115
Outline
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Objective

To understand the current status and influencing factors of frailty occurrence among middle-aged and elderly patients with H-type hypertension, and to construct a predictive model for frailty risk in this population.

Methods

Based on univariate and binary logistic regression analyses, screen for independent influencing factors, construct a risk prediction model for the occurrence of frailty in H-type hypertension, and create a visual nomogram. Finally, evaluate the predictive value of the risk prediction model using the H-L goodness-of-fit test, ROC curve, and calibration curve.

Results

This study included a total of 783 middle-aged and elderly patients with H-type hypertension, among whom 207 developed frailty (26.4%). Binary logistic regression analysis showed that age (OR=1.055, 95% CI: 1.032-1.079), education level (OR=0.656, 95% CI: 0.495-0.870), blood urea nitrogen (OR=1.215, 95% CI: 1.092-1.352), and high-density lipoprotein (OR=0.475, 95% CI: 0.273-0.826) were independent factors influencing the development of frailty in middle-aged and elderly patients with H-type hypertension. A logistic regression prediction model was constructed based on these influencing factors, with the Hosmer-Lemeshow goodness-of-fit test yielding a P-value of 0.836. The area under the ROC curve (AUC) was 0.733, 95% CI=0.694-0.771, indicating that the model has good discriminative ability. The calibration curve showed a high consistency between the predicted values and the observed values.

Conclusion

The incidence of frailty among middle-aged and elderly patients with H-type hypertension remains at a relatively high level. A risk prediction model based on these factors has certain predictive value for the occurrence of frailty in patients with H-type hypertension.

Middle-aged and elderly people  /  H-type hypertension  /  Frailty  /  Influencing fact  /  Prediction model
李若兰, 张亚梅, 张启, 王健, 乔慧. 中老年H型高血压患者衰弱的影响因素分析及预测模型构建. 现代预防医学, 2026 , 53 (6) : 961 -967 . DOI: 10.20043/j.cnki.MPM.202511115
Ruo-lan LI, Ya-mei ZHANG, Qi ZHANG, Jian WANG, Hui QIAO. Analysis of factors influencing frailty in middle-aged and elderly patients with type H hypertension and development of a predictive model[J]. Modern Preventive Medicine, 2026 , 53 (6) : 961 -967 . DOI: 10.20043/j.cnki.MPM.202511115
Year 2026 volume 53 Issue 6
36
18
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Article Info
doi: 10.20043/j.cnki.MPM.202511115
  • Receive Date:2025-11-10
  • Online Date:2026-11-02
  • Published:2026-03-25
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  • Received:2025-11-10
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    School of Public Health,Ningxia Medical University,Yinchuan, Ningxia 750004,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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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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