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解放军总医院
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解放军总医院医学创新研究部、国家老年疾病临床医学研究中心(解放军总医院)、解放军总医院第六医学中心心血管病医学部
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中华老年多器官疾病杂志编辑委员会
100853, 北京市复兴路28号
电话:010-66936756
传真:010-66936756
E-mail: zhlndqg@mode301.cn
创刊人 王士雯
总编辑 范利
副总编辑 陈韵岱
执行主编 叶大训
编辑部主任 王雪萍
ISSN 1671-5403
CN 11-4786
创刊时间 2002年
出版周期 月刊
邮发代号 82-408
友情链接
王海鑫,王晓媛,林琨.衰弱离退休老干部跌倒发生现状及影响因素[J].中华老年多器官疾病杂志,2022,21(8):592~596
衰弱离退休老干部跌倒发生现状及影响因素
Current situation and influencing factors of falls in the old frail retired veteran cadres
投稿时间:2022-04-14  
DOI:10.11915/j.issn.1671-5403.2022.08.127
中文关键词:  衰弱;跌倒;离退休;老干部;影响因素
英文关键词:frailty; falls; retirement; veteran cadres; influencing factors This work was supported by the Special Scientific Research Project for Military Healthcare
基金项目:军队保健专项科研课题(20BJZ43)
作者单位E-mail
王海鑫 中国人民解放军总医院第一医学中心干部诊疗科,北京100853 linkun@301hospital.orgcurrent 
王晓媛 中国人民解放军总医院第一医学中心干部诊疗科,北京100853 linkun@301hospital.orgcurrent 
林琨 中国人民解放军总医院第一医学中心干部诊疗科,北京100853 linkun@301hospital.orgcurrent 
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中文摘要:
      目的 探讨衰弱离退休老干部跌倒发生现状,明确跌倒发生的影响因素。方法 选取2019年2月至10月于中国人民解放军总医院第一医学中心住院的离退休老干部442名作为研究对象,根据过去12个月内是否发生跌倒将衰弱前期或衰弱老干部分为2组。比较2组老干部一般资料,身体功能情况。采用SPSS 22.0软件进行数据分析。根据数据类型,组间比较分别采用t检验、秩和检验及χ2检验。采用Fried衰弱量表进行衰弱筛查,采用logistic回归分析衰弱老干部跌倒发生的危险因素。结果 最终共纳入322例(72.0%)衰弱前期及衰弱离退休老干部为研究对象,年龄63~98(76.91±9.23)岁。跌倒组患者60例,未跌倒组262例。单因素方差分析结果显示:衰弱评分、年龄、体质量指数、情绪状态、简易身体功能测试得分、串联站立测试得分、起坐测试得分对老干部是否发生跌倒有显著影响(P<0.05);logistic回归分析结果显示:年龄(OR=1.043,95%CI 1.003~1.085)、体质量指数<18.5kg/m2(OR=3.704,95%CI 1.024~13.391)为衰弱老干部跌倒发生的主要影响因素(P<0.05)。结论 衰弱离退休老干部跌倒发生率较高,应加强该类人群跌倒风险的评估与筛查,针对跌倒高风险人群,制定有效预防措施。
英文摘要:
      Objective To investigate the current situation of falls in frail retired veteran cadres and to clarify the influencing factors of falls in them. Methods A total of 442 retired veteran cadres hospitalized in our medical center from February to October 2019 were subjected as the research subjects, and according to whether pre-frail or frail had fallen in the past 12 months, they were divided into the fall group and the non-fall group. Their general data and physical function were compared between the 2 groups of old cadres. SPSS statistics 22.0 was used for statistical analysis. Data comparison between 2 groups was performed using student′s t test, rank sum test, or Chi-square test depending on data types. Fried Frailty Scale was used for frailty screening, and logistic regression model was used to analyze the risk factors for falls among the frail retired veteran cadres. Results Finally, 322 (72.0%) frail retired veteran cadres were enrolled in this study, and they were at a mean age of 76.91±9.23 (63~98) years. There were 60 patients in the fall group and 262 patients in the non-fall group. The results of one-way ANOVA showed that frail score, age, body mass index (BMI), emotional state, Short Physical Performance Battery score, tandem standing test score, and sitting-rising test score had significant influences on whether falls occurred (P<0.05). Logistic regression analysis indicated that age (OR=1.043,95%CI 1.003-1.085) and BMI<18.5 kg/m2 (OR=3.704, 95%CI 1.024-13.391) were the main influencing factors for falls in frail old cadres (P<0.05). Conclusion The incidence of falls is relatively high among frail retired veteran cadres. It is necessary to strengthen the assessment and screening of the fall risk of this group of people, and formulate effective preventive measures for the high-risk group of falls.
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