Evidence map›Paper›PMID 36125602›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023

Adaptation and validation of the Chinese version of the Sleep Quality Questionnaire.

Runtang Meng, Tsukasa Kato, Stefanos Mastrotheodoros, Lu Dong, Daniel Yee Tak Fong, Fang Wang, Menglu Cao, Xinliang Liu, Chenmin Yao, Jinhong Cao and 4 more

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

14 authors.

Runtang MengSchool of Public Health, Hangzhou Normal University, No. 2318, Yuhangtang Rd, Yuhang District, Hangzhou, 311121, Zhejiang, China. mengruntang@hznu.edu.cn.ORCID http://orcid.org/0000-0002-5826-5576
Tsukasa KatoDepartment of Social Psychology, Toyo University, Tokyo, Japan.ORCID http://orcid.org/0000-0002-0827-0051
Stefanos MastrotheodorosDepartment of Psychology, University of Crete, Rethymno, Crete, Greece.
Lu DongDepartment of Behavioral & Policy Sciences, RAND Corporation, Santa Monica, CA, USA.
Daniel Yee Tak FongSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Fang WangSchool of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Menglu CaoFaculty of Psychology, Southwest University, Chongqing, China.
Xinliang LiuSchool of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Chenmin YaoThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education (KLOBM), School & Hospital of Stomatology, Wuhan University, Wuhan, Hubei, China.
Jinhong CaoSchool of Public Health, Wuhan University, Wuhan, Hubei, China.
Yong YuSchool of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Yi LuoSchool of Nursing, Ningbo College of Health Sciences, Ningbo, Zhejiang, China.
Chuanhua YuSchool of Public Health, Wuhan University, Wuhan, Hubei, China.
David GozalDepartment of Child Health, University of Missouri School of Medicine, Columbia, MO, USA.ORCID http://orcid.org/0000-0001-8195-6036

Funding

Hangzhou Normal University Research Initiation Fund of Hangzhou Normal University (Grant No. RWSK20201003)
6 · The paper itself

Abstract

STUDY

objectivesSleep quality is essential to health. The current study aimed to adapt and validate the Sleep Quality Questionnaire (SQQ) into Chinese language.

methodsThe Chinese version of the SQQ (SQQ-C) was created following the guidelines for cross-cultural adaptation. Compliant with the COSMIN methodology, baseline data (N = 13,325) examined three validity domains and internal consistency, including content validity using the content validity index (CVI) and the cognitive debriefing and focus group (relevance, comprehensiveness and comprehensibility), construct validity using structural validity and cross‑sectional measurement invariance, and criterion validity using concurrent/convergent validity. Follow-up data (N = 3410) gathered within a mean of 168 (167-207) h interval were used to additionally assess longitudinal measurement invariance and test-retest reliability using intraclass correlation coefficient (ICC).

resultsScale-level CVI/Average was equal to 0.922; Item-level CVIs ranged from 0.889 to 1.000 (excellent), except for item 2 (0.556-fair). A panel of local experts and local participants during cognitive debriefing and focus group stated that it had sufficient relevance and comprehensibility but a slight deficiency in comprehensiveness. Confirmatory factor analysis indicated a stable two-factor structure encompassing Daytime Sleepiness Subscale and Sleep Difficulty Subscale from baseline to follow-up data. The SQQ-C-9 (without item 2) outperformed the SQQ-C-10 (full form). The SQQ-C-9 provided evidence of measurement invariance (strict) across subgroups (cohorts, gender, and age) and across time. The SQQ-C was negatively correlated with the Chinese Nonrestorative Sleep Scale and the Chinese Sleep Condition Indicator. Cronbach's alpha (α), McDonald's Omega (ω), and ICC, respectively, ranged from 0.712 to 0.838, 0.723 to 0.840, and 0.738 to 0.764 for total scale and each subscale.

conclusionThe SQQ-C exhibits adequate psychometric properties and a stable two-factor structure, and should enable valuable assessments of sleep quality in clinical and research settings.

Indexed as

Quality of LifeSleep QualityChinaCross-Sectional StudiesHumansLanguagePsychometricsReproducibility of ResultsSurveys and QuestionnairesCOnsensus-based Standards for the selection of health Measurement INstrumentsInstrument validationPsychometricsSleep Quality Questionnaire

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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.