高级检索
    宋莹莹, 林紫薇, 丁苗苗, 王俊茂, 翟红丽, 胡飞龙, 张伶俐. 住院老年心房颤动病人衰弱状态及影响因素分析[J]. 蚌埠医科大学学报, 2021, 46(10): 1365-1369. DOI: 10.13898/j.cnki.issn.1000-2200.2021.10.010
    引用本文: 宋莹莹, 林紫薇, 丁苗苗, 王俊茂, 翟红丽, 胡飞龙, 张伶俐. 住院老年心房颤动病人衰弱状态及影响因素分析[J]. 蚌埠医科大学学报, 2021, 46(10): 1365-1369. DOI: 10.13898/j.cnki.issn.1000-2200.2021.10.010
    shu
    SONG Ying-ying, LIN Zi-wei, DING Miao-miao, WANG Jun-mao, ZHAI Hong-li, HU Fei-long, ZHANG Ling-li. Analysis of the frailty state and its influencing factors in elderly patients with atrial fibrillation[J]. Journal of Bengbu Medical University, 2021, 46(10): 1365-1369. DOI: 10.13898/j.cnki.issn.1000-2200.2021.10.010
    Citation: SONG Ying-ying, LIN Zi-wei, DING Miao-miao, WANG Jun-mao, ZHAI Hong-li, HU Fei-long, ZHANG Ling-li. Analysis of the frailty state and its influencing factors in elderly patients with atrial fibrillation[J]. Journal of Bengbu Medical University, 2021, 46(10): 1365-1369. DOI: 10.13898/j.cnki.issn.1000-2200.2021.10.010
    shu

    住院老年心房颤动病人衰弱状态及影响因素分析

    Analysis of the frailty state and its influencing factors in elderly patients with atrial fibrillation

      摘要
    • 摘要:
      目的分析住院老年心房颤动(AF)病人衰弱状态及影响因素。
      方法采用随机抽样调查收集124例老年AF病人临床资料，使用衰弱筛查量表(FRAIL)进行衰弱状态的评估，并对其相关影响因素进行分析。
      结果病人年龄、运动状况、饮食习惯、营养状态、焦虑症状、抑郁症状、日常生活能力、睡眠状况、认知功能等因素对衰弱状态有影响(P < 0.05~P < 0.01)；logistic多元回归分析显示，年龄、营养状态、日常生活能力、睡眠状况和认知功能与衰弱状态呈明显正相关(P < 0.05~P < 0.01)。
      结论年龄、睡眠状况和认知功能是AF病人衰弱的危险因素，年龄越大、营养状态越差、日常生活能力越低、睡眠状况越糟、认知功能越差，其衰弱程度越严重。

       

      Abstract:
      ObjectiveTo analyze the frailty state and its influencing factors in elderly patients with atrial fibrillation(AF).
      MethodsThe clinical data of 124 elderly patients with AF were collected by random sampling survey.The frailty state of all patients was evaluated using FRAIL scale, and its relevant influencing factors were analyzed.
      ResultsThe age, exercise status, eating habits, nutritional status, anxiety symptoms, depression symptoms, sleep status, cognitive function and other factors had a significant impact on the frailty state of patients(P < 0.05 to P < 0.01).The results of logistic multiple regression analysis showed that the age, nutritional status, ability of daily life, sleep status and cognitive function were positively correlated with the frailty state of patients(P < 0.05 to P < 0.01).
      ConclusionsThe age, sleep status and cognitive function are the risk factors of the frailty state of patients with AF.The older the patients, the lower the ability of daily life, the worse the sleep status, and the worse the cognitive function, and the more serious the frailty are.

       

      • HTML全文
      • 参考文献(20)
      • 相关文章
      • 施引文献
    • 资源附件(0)

    /

    返回文章
    返回