郭丝雨,张紫薇,刘霞.矩阵分析用于失能老人进食呛咳发生风险因素的识别[J].上海预防医学,2024,36(2):168-172.. doi: 10.19428/j.cnki.sjpm.2024.23244
引用本文: 郭丝雨,张紫薇,刘霞.矩阵分析用于失能老人进食呛咳发生风险因素的识别[J].上海预防医学,2024,36(2):168-172.. doi: 10.19428/j.cnki.sjpm.2024.23244
GUO Siyu,ZHANG Ziwei,LIU Xia.Matrix analysis for the identification of risk factors for choking and coughing while eating in disabled elderly individuals[J].Shanghai Journal of Preventive Medicine,2024,36(02):168-172.. doi: 10.19428/j.cnki.sjpm.2024.23244
Citation: GUO Siyu,ZHANG Ziwei,LIU Xia.Matrix analysis for the identification of risk factors for choking and coughing while eating in disabled elderly individuals[J].Shanghai Journal of Preventive Medicine,2024,36(02):168-172.. doi: 10.19428/j.cnki.sjpm.2024.23244

矩阵分析用于失能老人进食呛咳发生风险因素的识别

Matrix analysis for the identification of risk factors for choking and coughing while eating in disabled elderly individuals

  • 摘要:
    目的 筛选与失能老人进食呛咳发生有关的因素,并进行重要性矩阵分析,为控制失能老人进食呛咳管控策略提供参考依据。
    方法 采用方便抽样法,选取2019年10月—2022年4月首都医科大学附属北京友谊医院80例失能老人作为研究对象,统计进食呛咳发生情况,通过问卷调查方法获得失能老人一般资料及简易精神状态检查量表(MMSE)、简明口腔健康检查表(BOHSE)、进食评估工具⁃10(EAT⁃10)、咀嚼功能评分等情况。单因素、多因素分析失能老人进食呛咳的影响因素,并进一步进行重要性矩阵分析。
    结果 80例失能老人中,进食呛咳发生率为52.50%(42/80);失能程度(OR=2.895,95%CI:1.352~6.201)、年龄(OR=4.040,95%CI:1.121~14.562)、BOHSE评分(OR=2.473,95%CI:1.002~6.102)、EAT⁃10评分(OR=5.345,95%CI:2.112~13.527)、咀嚼功能评分 (OR=3.453,95%CI:1.247~9.562)是失能老人进食呛咳的危险因素,MMSE评分(OR=0.343,95%CI:0.135~0.869)是失能老人进食呛咳的保护因素。重要性矩阵分析显示,EAT⁃10评分、MMSE评分、咀嚼功能重要性较高,改善难度稍低,进入优先改进区域;年龄、失能程度重要性、改善难度均较高,进入次优改进区域;BOHS评分重要性、改善难度均稍低,进入备选改进区域。
    结论 年龄、失能程度、BOHSE评分、EAT⁃10评分、咀嚼功能评分是发生进食呛咳的危险因素,MMSE评分是其保护因素,而重要性矩阵分析可为临床科学制订针对性干预措施提供依据。

     

    Abstract:
    Objective To identify factors related to the occurrence of choking and coughing while eating in the disabled elderly and conduct importance matrix analysis to provide a reference basis for controlling choking on food in the disabled elderly.
    Methods A convenience sampling method was used to select 80 disabled elderly individuals in a hospital between October 2019 and April 2022 as the study population. The occurrence of choking and coughing while eating was recorded, and a questionnaire was administered to collect general information. Additionally, assessments were conducted using the intelligent mental status examination scale (MMSE), oral health checklist (BOHSE), eating assessment tool⁃10 (EAT-10), and chewing function evaluations. Univariate and multifactorial analyses were conducted to analyze the influencing factors of choking and coughing while eating in the elderly with disabilities.
    Results The incidence of choking and coughing while eating was 52.50% (42/80) among the 80 disabled elderly. The degree of disability (OR=2.895, 95%CI: 1.352‒6.201), age (OR=4.040, 95%CI: 1.121‒14.562), BOHSE score (OR=2.473, 95%CI: 1.002‒6.102), EAT-10 score (OR=5.345, 95%CI: 2.112‒13.527), and chewing function score (OR=3.453, 95%CI: 1.247‒9.562) were identified as risk factors for choking and coughing while eating in the disabled elderly. The MMSE score (OR=0.343, 95%CI: 0.135‒0.869) was identified as a protective factor. The importance matrix analysis indicated that EAT-10 score, MMSE score, and chewing function had high importance with slightly lower difficulty in improvement, and were thus listed as items in the priority improvement area. Age and degree of disability had high importance and high difficulty in improvement, and therefore belonged to the suboptimal improvement area. BOHS score was slightly lower both in importance and difficulty of improvement, entering the alternative improvement area.
    Conclusion Age, degree of disability, BOHSE score, EAT-10 score, and chewing function score are risk factors for the occurrence of choking and coughing while eating, while the MMSE score is a protective factor. The importance matrix analysis can provide a basis for targeted intervention in clinical practice.

     

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