Shinohara Tomoyuki, Saida Kosuke, Tanaka Shigeya, Murayama Akihiko, Higuchi Daisuke
Department of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare.
Department of Physical Therapy, Faculty of Rehabilitation, Gunma University of Health and Welfare.
Nihon Ronen Igakkai Zasshi. 2022;59(2):169-177. doi: 10.3143/geriatrics.59.169.
This study aimed to investigate a method for scoring the questionnaire for medical checkup of old-old (QMCOO) and to clarify a cut-off score for the discrimination of frailty.
Survey forms were distributed to 2,586 older adults. For old-old adults, the item characteristics of the QMCOO were indicated using the item response theory (IRT). A receiver operating characteristic (ROC) analysis was performed using the total score of the fitting model of QMCOO for suggesting a cut-off score to discriminate frailty. The cross-validity of the cut-off score was verified among young-old adults.
Among 1,680 adults who responded, data from 975 old-old and 421 young-old adults were analyzed. The method for scoring zero or one on each item in QMCOO conformed to the IRT model. The item discrimination and difficulty met the criteria. An ROC analysis showed that the area under the curve (AUC) and cut-off score for the discrimination of frailty were 0.871 and 4 points (sensitivity = 0.811, specificity = 0.766, positive likelihood ratio [LR+] = 3.469, and negative likelihood ratio [LR-] = 0.247), respectively. For young-old adults, the AUC and cut-off score were 0.874 and 4 points (sensitivity = 0.741, specificity = 0.817, LR+= 4.053, and LR- = 0.317), respectively.
The method for scoring zero or one on each item of the QMCOO was valid. A cut-off score of 4 for the discrimination of frailty demonstrated the interpretability of the QMCOO, while the usefulness of the QMCOO in young-old adults demonstrated cross-validity.
本研究旨在探究高龄老人健康体检问卷(QMCOO)的计分方法,并明确用于鉴别衰弱的临界分数。
向2586名老年人发放调查问卷。对于高龄老人,采用项目反应理论(IRT)来描述QMCOO的项目特征。使用QMCOO拟合模型的总分进行受试者工作特征(ROC)分析,以提出鉴别衰弱的临界分数。在年轻老人中验证临界分数的交叉效度。
在1680名做出回应的成年人中,分析了975名高龄老人和421名年轻老人的数据。QMCOO中每个项目计分为0或1的方法符合IRT模型。项目区分度和难度符合标准。ROC分析表明,鉴别衰弱的曲线下面积(AUC)和临界分数分别为0.871和4分(灵敏度=0.811,特异度=0.766,阳性似然比[LR+]=3.469,阴性似然比[LR-]=0.247)。对于年轻老人,AUC和临界分数分别为0.874和4分(灵敏度=0.741,特异度=0.817,LR+=4.053,LR-=0.317)。
QMCOO每个项目计分为0或1的方法有效。鉴别衰弱的临界分数为4分,证明了QMCOO的可解释性,而QMCOO在年轻老人中的有效性证明了其交叉效度。