Evidence map›Paper›PMID 36612819›Full record

ArticleInternational journal of environmental research and public health2022

Psychometric Evaluation of the Chinese Version of Mild Cognitive Impairment Questionnaire among Older Adults with Mild Cognitive Impairment.

Qingmin Dai, Hong Su, Zanhua Zhou, Caifu Li, Jihua Zou, Ying Zhou, Rhayun Song, Yang Liu, Lijuan Xu, Yuqiu Zhou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Qingmin DaiEcology College, Lishui University, No. 1 Xueyuan Road, Lishui 323000, China.
Hong SuDepartment of Nursing, Daqing Campus, University of Harbin Medical, 39 Shinyo Road, Daqing 163319, China.
Zanhua ZhouMedicine College, Lishui University, No. 1 Xueyuan Road, Lishui 323000, China.
Caifu LiMedicine College, Lishui University, No. 1 Xueyuan Road, Lishui 323000, China.
Jihua ZouMedicine College, Lishui University, No. 1 Xueyuan Road, Lishui 323000, China.
Ying ZhouMedicine College, Lishui University, No. 1 Xueyuan Road, Lishui 323000, China.
Rhayun SongNursing College, Chungnam National University, 266 Munwha-dong, Daejeon 35015, Republic of Korea.ORCID 0000-0001-9461-4246
Yang LiuDepartment of Nursing, Daqing Campus, University of Harbin Medical, 39 Shinyo Road, Daqing 163319, China.
Lijuan XuMedicine College, Lishui University, No. 1 Xueyuan Road, Lishui 323000, China.ORCID 0000-0003-2825-5657
Yuqiu ZhouDepartment of Nursing, Daqing Campus, University of Harbin Medical, 39 Shinyo Road, Daqing 163319, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a lack of instruments for measuring quality of life (QOL) in Chinese patients with mild cognitive impairment (MCI). This study aimed to translate the Mild Cognitive Questionnaire (MCQ) into the Chinese language and to evaluate the reliability and construct validity of the MCQ-Chinese among older adults with MCI.

methodsLinguistic translation and validation of the questionnaire were conducted according to the MCQ developer and Oxford University Innovation guidelines. After a pilot test, the final version of the MCQ-Chinese was applied to a convenience sample of older adults with MCI (n = 186). Cronbach's alpha and confirmatory factor analyses were used to assess the reliability and construct validity of the MCQ-Chinese. In addition, non-parametric analysis was used to assess convergent and discriminant validity.

resultsThe total scale and all the factors had good internal consistency, with Cronbach's alpha values ranging from 0.90 to 0.92. Confirmatory factor analysis indicated satisfactory goodness of fit for the 2-factor MCQ. The MCQ-Chinese had a good convergent validity, and the discriminant validity was confirmed with a significant difference in MCQ scores in different health conditions.

conclusionsMCQ-Chinese is a reliable tool for assessing QOL among Chinese older adults with MCI.

Indexed as

Cognitive DysfunctionQuality of LifeAgedChinaHumansLanguagePsychometricsReproducibility of ResultsSurveys and Questionnairesmild cognitive questionnaireolder adultspsychometric testquality of lifereliabilityvalidity

Identifiers

PMID36612819
PMCPMC9819359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.