Factor structure and psychometric properties of a Persian translation of the Epworth Sleepiness Scale for children and adolescents

Vida Imani; Chung Ying Lin; Shabnam Jalilolghadr; Amir H. Pakpour

doi:10.15171/hpp.2018.27

Factor structure and psychometric properties of a Persian translation of the Epworth Sleepiness Scale for children and adolescents

Vida Imani, Chung Ying Lin, Shabnam Jalilolghadr, Amir H. Pakpour

Research output: Journal article publication › Journal article › Academic research › peer-review

16 Citations (Scopus)

Abstract

Background: Given the high prevalence of excessive daytime disorder (EDS) among children and adolescents, daytime sleepiness should be effectively measured for them to design appropriate intervention program. However, the commonly used instrument Epworth Sleepiness Scale for Children and Adolescents (ESS-CHAD) has little information in its psychometric properties. This study aimed to apply 2 different test theories to examine the psychometric properties of the Persian ESS-CHAD among a large sample of Iranian adolescents and children. Methods: In this methodological study, participants from 8 high schools (n=1371; 700 males), in Qazvin, Iran, completed the ESS-CHAD, a background information sheet, and Insomnia Severity Index (ISI). The ESS-CHAD was translated by using a forward-backward translation method. Two weeks later, the participants completed the ESS-CHAD again. Internal consistency using Cronbach’s alpha, test-retest reliability using intraclass correlation coefficient (ICC), regression analysis testing the correlation between ESS-CHAD and ISI, Confirmatory factor analysis (CFA) with measurement invariance, Rasch analysis with differential item functioning (DIF), and latent class analysis (LCA) were used to examine the psychometric properties of the ESS-CHAD. Results: The internal consistency (α=0.79), test-retest reliability (ICC=0.84), regression findings (β=0.39, P< 0.001), CFA (comparative fit index [CFI])=0.974, root-mean square error of approximation [RMSEA]=0.040), supported measurement invariance (∆CFI=-0.009 to 0.007, ∆RMSEA=-0.009 to 0.001), Rasch analysis (infit mean square=0.88 to 1.31, outfit mean square=0.68 to 1.19), and no substantial DIF (DIF contrast=-0.43 to 0.38) all indicated that ESS-CHAD is a reliable and valid instrument. The LCA further classified the sample into 2 distinct classes. Conclusion: Persian ESS-CHAD could be used to assess daytime sleepiness for adolescents who are speaking Persian.

Original language	English
Pages (from-to)	200-207
Number of pages	8
Journal	Health Promotion Perspectives
Volume	8
Issue number	3
DOIs	https://doi.org/10.15171/hpp.2018.27
Publication status	Published - 7 Jul 2018

Keywords

Adolescence
Child
Daytime sleepiness
Factor analysis
Rasch analysis

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health
Education
Health(social science)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.15171/hpp.2018.27

http://hdl.handle.net/10397/80683

Cite this

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title = "Factor structure and psychometric properties of a Persian translation of the Epworth Sleepiness Scale for children and adolescents",

abstract = "Background: Given the high prevalence of excessive daytime disorder (EDS) among children and adolescents, daytime sleepiness should be effectively measured for them to design appropriate intervention program. However, the commonly used instrument Epworth Sleepiness Scale for Children and Adolescents (ESS-CHAD) has little information in its psychometric properties. This study aimed to apply 2 different test theories to examine the psychometric properties of the Persian ESS-CHAD among a large sample of Iranian adolescents and children. Methods: In this methodological study, participants from 8 high schools (n=1371; 700 males), in Qazvin, Iran, completed the ESS-CHAD, a background information sheet, and Insomnia Severity Index (ISI). The ESS-CHAD was translated by using a forward-backward translation method. Two weeks later, the participants completed the ESS-CHAD again. Internal consistency using Cronbach{\textquoteright}s alpha, test-retest reliability using intraclass correlation coefficient (ICC), regression analysis testing the correlation between ESS-CHAD and ISI, Confirmatory factor analysis (CFA) with measurement invariance, Rasch analysis with differential item functioning (DIF), and latent class analysis (LCA) were used to examine the psychometric properties of the ESS-CHAD. Results: The internal consistency (α=0.79), test-retest reliability (ICC=0.84), regression findings (β=0.39, P< 0.001), CFA (comparative fit index [CFI])=0.974, root-mean square error of approximation [RMSEA]=0.040), supported measurement invariance (∆CFI=-0.009 to 0.007, ∆RMSEA=-0.009 to 0.001), Rasch analysis (infit mean square=0.88 to 1.31, outfit mean square=0.68 to 1.19), and no substantial DIF (DIF contrast=-0.43 to 0.38) all indicated that ESS-CHAD is a reliable and valid instrument. The LCA further classified the sample into 2 distinct classes. Conclusion: Persian ESS-CHAD could be used to assess daytime sleepiness for adolescents who are speaking Persian.",

keywords = "Adolescence, Child, Daytime sleepiness, Factor analysis, Rasch analysis",

author = "Vida Imani and Lin, {Chung Ying} and Shabnam Jalilolghadr and Pakpour, {Amir H.}",

year = "2018",

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AU - Imani, Vida

AU - Lin, Chung Ying

AU - Jalilolghadr, Shabnam

AU - Pakpour, Amir H.

PY - 2018/7/7

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N2 - Background: Given the high prevalence of excessive daytime disorder (EDS) among children and adolescents, daytime sleepiness should be effectively measured for them to design appropriate intervention program. However, the commonly used instrument Epworth Sleepiness Scale for Children and Adolescents (ESS-CHAD) has little information in its psychometric properties. This study aimed to apply 2 different test theories to examine the psychometric properties of the Persian ESS-CHAD among a large sample of Iranian adolescents and children. Methods: In this methodological study, participants from 8 high schools (n=1371; 700 males), in Qazvin, Iran, completed the ESS-CHAD, a background information sheet, and Insomnia Severity Index (ISI). The ESS-CHAD was translated by using a forward-backward translation method. Two weeks later, the participants completed the ESS-CHAD again. Internal consistency using Cronbach’s alpha, test-retest reliability using intraclass correlation coefficient (ICC), regression analysis testing the correlation between ESS-CHAD and ISI, Confirmatory factor analysis (CFA) with measurement invariance, Rasch analysis with differential item functioning (DIF), and latent class analysis (LCA) were used to examine the psychometric properties of the ESS-CHAD. Results: The internal consistency (α=0.79), test-retest reliability (ICC=0.84), regression findings (β=0.39, P< 0.001), CFA (comparative fit index [CFI])=0.974, root-mean square error of approximation [RMSEA]=0.040), supported measurement invariance (∆CFI=-0.009 to 0.007, ∆RMSEA=-0.009 to 0.001), Rasch analysis (infit mean square=0.88 to 1.31, outfit mean square=0.68 to 1.19), and no substantial DIF (DIF contrast=-0.43 to 0.38) all indicated that ESS-CHAD is a reliable and valid instrument. The LCA further classified the sample into 2 distinct classes. Conclusion: Persian ESS-CHAD could be used to assess daytime sleepiness for adolescents who are speaking Persian.

AB - Background: Given the high prevalence of excessive daytime disorder (EDS) among children and adolescents, daytime sleepiness should be effectively measured for them to design appropriate intervention program. However, the commonly used instrument Epworth Sleepiness Scale for Children and Adolescents (ESS-CHAD) has little information in its psychometric properties. This study aimed to apply 2 different test theories to examine the psychometric properties of the Persian ESS-CHAD among a large sample of Iranian adolescents and children. Methods: In this methodological study, participants from 8 high schools (n=1371; 700 males), in Qazvin, Iran, completed the ESS-CHAD, a background information sheet, and Insomnia Severity Index (ISI). The ESS-CHAD was translated by using a forward-backward translation method. Two weeks later, the participants completed the ESS-CHAD again. Internal consistency using Cronbach’s alpha, test-retest reliability using intraclass correlation coefficient (ICC), regression analysis testing the correlation between ESS-CHAD and ISI, Confirmatory factor analysis (CFA) with measurement invariance, Rasch analysis with differential item functioning (DIF), and latent class analysis (LCA) were used to examine the psychometric properties of the ESS-CHAD. Results: The internal consistency (α=0.79), test-retest reliability (ICC=0.84), regression findings (β=0.39, P< 0.001), CFA (comparative fit index [CFI])=0.974, root-mean square error of approximation [RMSEA]=0.040), supported measurement invariance (∆CFI=-0.009 to 0.007, ∆RMSEA=-0.009 to 0.001), Rasch analysis (infit mean square=0.88 to 1.31, outfit mean square=0.68 to 1.19), and no substantial DIF (DIF contrast=-0.43 to 0.38) all indicated that ESS-CHAD is a reliable and valid instrument. The LCA further classified the sample into 2 distinct classes. Conclusion: Persian ESS-CHAD could be used to assess daytime sleepiness for adolescents who are speaking Persian.

KW - Adolescence

KW - Child

KW - Daytime sleepiness

KW - Factor analysis

KW - Rasch analysis

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Factor structure and psychometric properties of a Persian translation of the Epworth Sleepiness Scale for children and adolescents

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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