Validity study of quick cognitive screening scale for elderly in community population
10.3760/cma.j.issn.1674-6554.2019.09.018
- VernacularTitle: 老年人快速认知筛查量表在社区人群应用的效度研究
- Author:
Yue WU
1
;
Jinfa ZHAO
2
;
Hongyu YANG
3
;
Tenglong WANG
2
;
Jie FAN
1
;
Zaohuo CHENG
1
Author Information
1. Psychiatry Department, the Affiliated Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
2. School of Humanities and Management, Wannan Medical College, Wuhu 241002, China
3. Nanjing Medical University Wuxi Clinical College, Wuxi 214151, China
- Publication Type:Journal Article
- Keywords:
Cognitive screening scale;
Alzheimer'
s disease;
Mild cognitive impairment;
Validity
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2019;28(9):854-859
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To verify the criteria validity and effectiveness of the QCSS-E for screening of mild cognitive impairment (MCI) and early dementia with Alzheimer's type (DAT) among the elderly in community.
Methods:With stratified convenient sampling, 1 298 elderly aged 55 and over recruited from Wuxi community, who finished the clinical interviews, laboratory examination and psychological tests such as QCSS-E, ADL, MMSE, ADAS-cog, CDR, and Core Neuropsychological Test.Then they were divided into health control group(HC), MCI group and DAT group by the diagnostic criteria of Peterson’s MCI and DSM-5 AD dementia.The criteria validity and screening efficacy of QCSS-E were verified and the optimal cut off value for detecting MCI and DAT were explored.
Results:There were statistically significant differences in age, education level, marital status, family structure, occupation, and scores of MMSE, ADAS-cog, CNT, and QCSS-E total score and domain scores among three groups (all P<0.01). The total score and every domains score of QCSS-E were significantly correlated with test scores such as MMSE, ADAS-cog and CNT (all P<0.01). Using the total QCSS-E score to discriminate MCI from health control, the area under the curve (AUC) was 83.5%. When the cut off value was 74.5, the accuracy rate of classification was the highest (75.0%). Using the total QCSS-E score to discriminate DAT from health control, the AUC was 83.5%. When the cut off value was 64.5, the accuracy rate of classification was the highest (94.2%).
Conclusion:The QCSS-E has better criteria validity and higher effectiveness in screening MCI and DAT.
