| 脑卒中康复期患者恐动症列线图模型的构建 |
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| 引用本文： | 陈清,张燕丹. 脑卒中康复期患者恐动症列线图模型的构建[J]. 医药高职教育与现代护理, 2024, 7(1): 74-78 |
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| 作者姓名： | 陈清 张燕丹 |
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| 作者单位： | 徐州医科大学附属医院,徐州医科大学附属医院 |
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| 摘 要： | 目的 探讨脑卒中康复期患者发生恐动症的现状及影响因素,构建恐动症风险列线图模型。方法 选取2021年1月至2022年12月就诊于徐州医科大学附属医院神经内科的240例脑卒中患者的临床资料,统计并分析发生恐动症的情况,利用Logistic回归构建恐动症风险预测模型。结果 恐动症发生率24.17%。年龄、性别、文化程度、日常生活活动(ADL评分)、运动依从性及焦虑抑郁是脑卒中患者发生恐动症的独立危险因素(P<0.05)。性别与功能锻炼依从性量表(EAQ)评分、性别与医院抑郁焦虑量表(HADS)评分、居住地与文化程度、居住地与HADS评分、文化程度与保险类型之间在5%的水平上显著,其余各影响因素间无交叉关系,相对彼此独立。Logistic回归分析显示,年龄大、女性、文化程度低、ADL评分低、运动依从性差、焦虑抑郁的脑卒中康复期患者更易发生恐动症。结论 该研究构建的脑卒中患者恐动症风险预测模型简单易行,可为识别高危患者与及时干预提供指导。
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| 关 键 词： | 脑卒中 恐动症 列线图模型 护理 |
| 收稿时间： | 2023-05-26 |
| 修稿时间： | 2024-01-15 |
Construction of kinetophobia diagram model for stroke convalescent patients |
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| chenqing and zhangyandan. Construction of kinetophobia diagram model for stroke convalescent patients[J]. , 2024, 7(1): 74-78 |
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| Authors: | chenqing and zhangyandan |
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| Affiliation: | Xuzhou Medical University Hospital,Xuzhou Medical University Hospital |
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| Abstract: | ObjectiveTo investigate the current situation and influencing factors of kinetophobia in stroke convalescent patients,and to build a risk nomogram model of kinetophobia. MethodsA total of 240 stroke patients treated in the neurology department of affiliated hospital of Xuzhou medical university, from January 2021 to December 2022, were selected to analyse the status of kinesophobia,and the risk prediction model of kinesophobia was constructed by Logistic regression. ResultsThe incidence of kineophobia was 24.17%. Age,gender,education level, ADL score,exercise compliance and anxiety and depression were independent risk factors for stroke patients with kinesophobia (P<0.05). The relationship between gender and EAQ score, HADS score,place of residence and education level,place of residence and HADS score,education level and insurance type were significant at the level of 5%,and the other influencing factors had no cross-relationship and were relatively independent of each other. Logistic regression analysis showed that stroke rehabilitation patients with older age,female,low education level,low ADL score,poor exercise compliance,anxiety and depression were more likely to develop kinesophobia. ConclusionsThe risk prediction model of stroke patients with kinesophobia established in this study is simple and feasible,and could provide guidance for identifying high-risk patients and timely intervention strategies. |
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| Keywords: | Stroke Kinetophobia Nomogram model Nursing |
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