Psychometric properties and validation of the Hungarian version of the sleep hygiene index among healthcare professionals
Abstract
IntroductionThis study aims to culturally adapt and validate the Hungarian version of the Sleep Hygiene Index (SHI-H) among healthcare professionals and evaluate associated demographic, occupational, and psychological factors.MethodsA cross-sectional survey was conducted among Hungarian nurses and physicians (n = 470). Psychometric evaluation included internal consistency, test–retest reliability (n = 21), exploratory and confirmatory factor analyses. Sleep hygiene was evaluated against age, gender, and work schedule. Psychological profiling utilized the Hungarian version of reduced Morningness–Eveningness Questionnaire (rMEQ-H), Athens Insomnia Scale (AIS-H), Perceived Stress Scale-14 (PSS-14-H), and Patient Health Questionnaire-15 (PHQ-15-H), analyzed via multivariable General Linear Modeling (GLM) and bootstrap mediation analyses.ResultsThe SHI-H demonstrated acceptable internal consistency (Cronbach’s alpha = 0.727) and excellent temporal stability (ICC = 0.85). Construct validity was supported by a preliminary five-factor structure (CFI = 0.928, TLI = 0.900, RMSEA = 0.053, 90% CI: 0.041–0.065), reflecting multidimensional sleep behaviors. The GLM explained 34.9% of the total variance in SHI-H scores (p < 0.001). Chronotype (rMEQ-H) emerged as the strongest independent predictor (ηp2 = 0.090, p < 0.001), with morningness linked to superior sleep hygiene. Shift workers reported significantly poorer sleep hygiene (p < 0.001) and greater insomnia severity (p = 0.016) than day workers. Furthermore, bootstrap mediation analyses revealed a significant indirect statistical association, indicating that the relationship between morningness–eveningness orientation (rMEQ-H) and insomnia severity (AIS-H) was accounted for by sleep hygiene behaviors (SHI-H) within this cross-sectional model.DiscussionThe SHI-H is a reliable, psychometrically sound instrument for healthcare populations. Sleep-related behaviors are heavily influenced by chronotype and shiftwork demands, showing significant indirect associations with insomnia symptoms.
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BibTeX
@article{kanizsai2026psychometric,
title = {{Psychometric properties and validation of the Hungarian version of the sleep hygiene index among healthcare professionals}},
author = {Peter Laszlo Kanizsai and Péter Závodi and Gergely Suszter and Judit Fekete and Kata Eklics and Katalin Fusz},
journal = {Frontiers in Public Health},
year = {2026},
month = nov,
doi = {10.3389/fpubh.2026.2017111},
url = {https://www.frontiersin.org/articles/10.3389/fpubh.2026.2017111},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Psychometric properties and validation of the Hungarian version of the sleep hygiene index among healthcare professionals
AU - Peter Laszlo Kanizsai
AU - Péter Závodi
AU - Gergely Suszter
AU - Judit Fekete
AU - Kata Eklics
AU - Katalin Fusz
PY - 2026
DA - 2026/11/06
JO - Frontiers in Public Health
DO - 10.3389/fpubh.2026.2017111
UR - https://www.frontiersin.org/articles/10.3389/fpubh.2026.2017111
AB - IntroductionThis study aims to culturally adapt and validate the Hungarian version of the Sleep Hygiene Index (SHI-H) among healthcare professionals and evaluate associated demographic, occupational, and psychological factors.MethodsA cross-sectional survey was conducted among Hungarian nurses and physicians (n = 470). Psychometric evaluation included internal consistency, test–retest reliability (n = 21), exploratory and confirmatory factor analyses. Sleep hygiene was evaluated against age, gender, and work schedule. Psychological profiling utilized the Hungarian version of reduced Morningness–Eveningness Questionnaire (rMEQ-H), Athens Insomnia Scale (AIS-H), Perceived Stress Scale-14 (PSS-14-H), and Patient Health Questionnaire-15 (PHQ-15-H), analyzed via multivariable General Linear Modeling (GLM) and bootstrap mediation analyses.ResultsThe SHI-H demonstrated acceptable internal consistency (Cronbach’s alpha = 0.727) and excellent temporal stability (ICC = 0.85). Construct validity was supported by a preliminary five-factor structure (CFI = 0.928, TLI = 0.900, RMSEA = 0.053, 90% CI: 0.041–0.065), reflecting multidimensional sleep behaviors. The GLM explained 34.9% of the total variance in SHI-H scores (p < 0.001). Chronotype (rMEQ-H) emerged as the strongest independent predictor (ηp2 = 0.090, p < 0.001), with morningness linked to superior sleep hygiene. Shift workers reported significantly poorer sleep hygiene (p < 0.001) and greater insomnia severity (p = 0.016) than day workers. Furthermore, bootstrap mediation analyses revealed a significant indirect statistical association, indicating that the relationship between morningness–eveningness orientation (rMEQ-H) and insomnia severity (AIS-H) was accounted for by sleep hygiene behaviors (SHI-H) within this cross-sectional model.DiscussionThe SHI-H is a reliable, psychometrically sound instrument for healthcare populations. Sleep-related behaviors are heavily influenced by chronotype and shiftwork demands, showing significant indirect associations with insomnia symptoms.
SN - 2296-2565
ER -