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The changing trajectory of oral frailty in elderly stroke patients and its influencing factors
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Jiayue ZHAO1, 2, Yujia LIU1, Minmin ZHOU2, Haimin SUN1, Qing ZHANG1, Lu XU1, Hongmei XU1
Chinese Nursing Research | 2026, 40(4) : 563 - 572
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Chinese Nursing Research | 2026, 40(4): 563-572
• Original Articles •
The changing trajectory of oral frailty in elderly stroke patients and its influencing factors
Full
Jiayue ZHAO1, 2, Yujia LIU1, Minmin ZHOU2, Haimin SUN1, Qing ZHANG1, Lu XU1, Hongmei XU1
Affiliations
  • 1Binzhou Medical University, Shandong 256603 China
  • 2Binzhou Medical University Hospital
Published: 2026-02-25 doi: 10.12102/j.issn.1009-6493.2026.04.006
Outline
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Objective

To investigate the changing trajectory of oral frailty in elderly stroke patients and its associated influencing factors, and to provide reference for targeted clinical interventions.

Methods

A convenience sample of 300 elderly stroke patients admitted to the neurology department of a tertiary grade A hospital in Shandong province were enrolled in this study.Data were collected using a general information questionnaire and standardized assessment tools,including the Oral Frailty Index-8(OFI-8),the Oral Health Assessment Tool(OHAT),the Geriatric Self-Efficacy in Oral Health Scale(GSEOH),and the Perceived Social Support Scale(PSSS).Oral frailty levels were evaluated based on these instruments.

Results

The changing trajectory of oral frailty in elderly stroke patients was categorized into two distinct patterns:a high-level slow increase group(49.7%) and a low-level slow increase group(50.3%).Logistic regression analysis revealed that age,smoking history,prior cerebral infarction,number of remaining teeth,subjective chewing difficulty,oral health status,and perceived social support were significant predictors of oral frailty(all P<0.05).The decision tree model identified four key clinical variables:wearing dentures,oral health status,subjective masticatory difficulty,and prior cerebral infarction.The areas under the receiver operating characteristic curves for the decision tree and Logistic regression models were 0.939 and 0.943,respectively,indicating strong predictive performance.

Conclusions

Oral frailty in elderly stroke patients generally progresses gradually over time,with notable heterogeneity among subgroups.Both the decision tree and logistic regression models demonstrate considerable predictive accuracy.Healthcare professionals can develop intervention plans based on these two models to achieve early identification of oral frailty and precise care.

the elderly  /  stroke  /  oral frailty  /  influencing factors  /  nursing
赵佳月, 刘雨佳, 周敏敏, 孙海敏, 张晴, 徐璐, 许红梅. 老年脑卒中病人口腔衰弱变化轨迹及影响因素. 护理研究, 2026 , 40 (4) : 563 -572 . DOI: 10.12102/j.issn.1009-6493.2026.04.006
Jiayue ZHAO, Yujia LIU, Minmin ZHOU, Haimin SUN, Qing ZHANG, Lu XU, Hongmei XU. The changing trajectory of oral frailty in elderly stroke patients and its influencing factors[J]. Chinese Nursing Research, 2026 , 40 (4) : 563 -572 . DOI: 10.12102/j.issn.1009-6493.2026.04.006
Year 2026 volume 40 Issue 4
40
17
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Article Info
doi: 10.12102/j.issn.1009-6493.2026.04.006
  • Receive Date:2025-01-09
  • Online Date:2026-10-28
  • Published:2026-02-25
Article Data
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History
  • Received:2025-01-09
  • Revised:2026-02-01
Affiliations
    1Binzhou Medical University, Shandong 256603 China
    2Binzhou Medical University Hospital

Corresponding:

XU Hongmei, E-mail:
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表12种不同金属材料的力学参数
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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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