Evidence map›Paper›PMID 38243256›Full record

ArticleBMC psychology2024

Assessing psychometric properties and measurement invariance of the Sleep Quality Questionnaire among healthcare students.

Mengyi Huang, Haiyan Ma, Karen Spruyt, Joseph M Dzierzewski, Chen Jiang, Jiaxuan He, Nongnong Yang, Yiwei Ying, Bolanle Adeyemi Ola, Runtang Meng

Abstract read
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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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

6 citing papers in PubMed.

  1. Article
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  4. Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mengyi Huang *School of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Haiyan MaSchool of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China. mahaiyan@hznu.edu.cn.
Karen Spruyt *Université Paris Cité, NeuroDiderot, INSERM, Paris, France.
Joseph M Dzierzewski *The National Sleep Foundation, Washington, DC, USA.
Chen Jiang *School of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Jiaxuan HeSteinhardt School of Culture, Education and Human Development, New York University, New York, NY, USA.
Nongnong YangSchool of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
Yiwei YingSchool of Nursing, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Bolanle Adeyemi OlaDepartment of Behavioral Medicine, Faculty of Clinical Sciences, Lagos State University College of Medicine, Ikeja, Lagos, Nigeria.
Runtang Meng *School of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China. mengruntang@hznu.edu.cn.

Funding

Medical Research Fund of Zhejiang Province 2023RC073Research Initiation Fund of Hangzhou Normal University RWSK20201003
6 · The paper itself

Abstract

objectiveThe sleep of healthcare students is worth discovering. Mental health and self-rated health are thought to be associated with sleep quality. As such, valid instruments to assess sleep quality in healthcare students are crucial and irreplaceable. This study aimed to investigate the measurement properties of the Sleep Quality Questionnaire (SQQ) for Chinese healthcare students.

methodsTwo longitudinal assessments were undertaken among healthcare students, with a total of 595, between December 2020 and January 2021. Measures include the Chinese version of the SQQ, Patient Health Questionnaire-4 (PHQ-4), Self-Rated Health Questionnaire (SRHQ), and sociodemographic questionnaire. Structural validity through confirmatory factor analysis (CFA) was conducted to examine factor structure of the SQQ. T-tests and ANOVAs were used to examine sociodemographic differences in sleep quality scores. Multi Group CFA and longitudinal CFA were respectively used to assess cross-sectional invariance and longitudinal invariance across two-time interval, i.e., cross-cultural validity. Construct validity, internal consistency, and test-retest reliability were correspondingly examined via Spearman correlation, Cronbach's alpha and McDonald's omega, and intraclass correlation coefficient. Multiple linear regression analysis was performed to examine incremental validity of the SQQ based on the PHQ-4 and SRHQ as indicators of the criterion variables.

resultsCFA results suggested that the two-factor model of the SQQ-9 (item 2 excluded) had the best fit. The SQQ-9 scores differed significantly by age, grade, academic stage, hobby, stress coping strategy, anxiety, depression, and self-rated health subgroups. Measurement invariance was supported in terms of aforesaid subgroups and across two time intervals. In correlation and regression analyses, anxiety, depression, and self-rated health were moderately strong predictors of sleep quality. The SQQ-9 had good internal consistency and test-retest reliability.

conclusionGood measurement properties suggest that the SQQ is a promising and practical measurement instrument for assessing sleep quality of Chinese healthcare students.

Indexed as

Sleep QualityStudentsCross-Sectional StudiesDelivery of Health CareHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesAssessment instrumentHealthcare studentsMeasurement propertiesObservational longitudinal studySleep Quality Questionnaire

Identifiers

PMID38243256
PMCPMC10799451

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