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Validation of a three-dimensional model about sleep: Habits, personal factors and environmental factors.

Rebelo-Pinto T, Pinto JC, Rebelo-Pinto H, Paiva T - Sleep Sci (2014)

Bottom Line: Confirmatory factor analysis indicate that a nine-factor model has better fit indices compared with the others tested models for both samples (adolescents: χ (2)/df (Chi-square/degrees of freedom)=2.59, Comparative Fit Index (CFI)=.82, Goodness-of-Fit Index (GFI)=.92, Root Mean Square Error of Approximation (RMSEA)=.049, Expected Cross-Validation Index (ECVI)=1.416; Parents: χ (2)/df=2.89, CFI=.85, GFI=.91, RMSEA=.053, ECVI=1.528).Also, the three second-order factors have good internal consistency, convergent and discriminant validity for all factors in both samples.Results postulate that the three factors and their nine subcategories account for correlations between sleep habits, self-perceptions and knowledge about sleep.

View Article: PubMed Central - PubMed

Affiliation: CENC - Lisbon Sleep Center, Rua Conde das Antas, 5, 1070-068 Lisbon, Portugal.

ABSTRACT

Objectives: The present study aims to test the factor structure of two sleep questionnaires and their internal consistency in a sample of adolescents and their respective parents and to evaluate the validity and robustness of a three-dimensional model about sleep, addressing nine subcategories related to sleep habits, personal and environmental factors.

Methods: Participants were 654 adolescents from Portuguese schools, who completed "My Sleep and I" questionnaire, and 664 parents who completed "My child׳s sleep" questionnaire; to them confirmatory factor analysis was applied.

Results: Confirmatory factor analysis indicate that a nine-factor model has better fit indices compared with the others tested models for both samples (adolescents: χ (2)/df (Chi-square/degrees of freedom)=2.59, Comparative Fit Index (CFI)=.82, Goodness-of-Fit Index (GFI)=.92, Root Mean Square Error of Approximation (RMSEA)=.049, Expected Cross-Validation Index (ECVI)=1.416; Parents: χ (2)/df=2.89, CFI=.85, GFI=.91, RMSEA=.053, ECVI=1.528). Moreover, the comparison of the models through Δχ (2) index (chi-square difference between rival models) indicates a better fit for this model, Δχ (2) (24)=186.5, p<.001 for adolescents and Δχ (2) (24)=209, p<.001 for parents. Also, the three second-order factors have good internal consistency, convergent and discriminant validity for all factors in both samples.

Conclusions: Results postulate that the three factors and their nine subcategories account for correlations between sleep habits, self-perceptions and knowledge about sleep.

No MeSH data available.


Three-dimensional model about sleep: sleep habits, personal factors and environmental factors, for adolescents (left; n=654) and parents (right; n=612).
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f0005: Three-dimensional model about sleep: sleep habits, personal factors and environmental factors, for adolescents (left; n=654) and parents (right; n=612).

Mentions: Thus, Fig. 1 shows the results of the confirmatory factor analysis of the PM (three second-order factors and nine first-order factors), for adolescents and for parents, considering the values of the standardized factor weights and the individual reliability of each item of the model. The estimated regression coefficients for this model, in both samples, are high for all components, and have statistical significance (p<.001). The coefficients of the error variances and the latent variables are also moderate and statistically significant (p<.001).


Validation of a three-dimensional model about sleep: Habits, personal factors and environmental factors.

Rebelo-Pinto T, Pinto JC, Rebelo-Pinto H, Paiva T - Sleep Sci (2014)

Three-dimensional model about sleep: sleep habits, personal factors and environmental factors, for adolescents (left; n=654) and parents (right; n=612).
© Copyright Policy - CC BY-NC-ND
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4608884&req=5

f0005: Three-dimensional model about sleep: sleep habits, personal factors and environmental factors, for adolescents (left; n=654) and parents (right; n=612).
Mentions: Thus, Fig. 1 shows the results of the confirmatory factor analysis of the PM (three second-order factors and nine first-order factors), for adolescents and for parents, considering the values of the standardized factor weights and the individual reliability of each item of the model. The estimated regression coefficients for this model, in both samples, are high for all components, and have statistical significance (p<.001). The coefficients of the error variances and the latent variables are also moderate and statistically significant (p<.001).

Bottom Line: Confirmatory factor analysis indicate that a nine-factor model has better fit indices compared with the others tested models for both samples (adolescents: χ (2)/df (Chi-square/degrees of freedom)=2.59, Comparative Fit Index (CFI)=.82, Goodness-of-Fit Index (GFI)=.92, Root Mean Square Error of Approximation (RMSEA)=.049, Expected Cross-Validation Index (ECVI)=1.416; Parents: χ (2)/df=2.89, CFI=.85, GFI=.91, RMSEA=.053, ECVI=1.528).Also, the three second-order factors have good internal consistency, convergent and discriminant validity for all factors in both samples.Results postulate that the three factors and their nine subcategories account for correlations between sleep habits, self-perceptions and knowledge about sleep.

View Article: PubMed Central - PubMed

Affiliation: CENC - Lisbon Sleep Center, Rua Conde das Antas, 5, 1070-068 Lisbon, Portugal.

ABSTRACT

Objectives: The present study aims to test the factor structure of two sleep questionnaires and their internal consistency in a sample of adolescents and their respective parents and to evaluate the validity and robustness of a three-dimensional model about sleep, addressing nine subcategories related to sleep habits, personal and environmental factors.

Methods: Participants were 654 adolescents from Portuguese schools, who completed "My Sleep and I" questionnaire, and 664 parents who completed "My child׳s sleep" questionnaire; to them confirmatory factor analysis was applied.

Results: Confirmatory factor analysis indicate that a nine-factor model has better fit indices compared with the others tested models for both samples (adolescents: χ (2)/df (Chi-square/degrees of freedom)=2.59, Comparative Fit Index (CFI)=.82, Goodness-of-Fit Index (GFI)=.92, Root Mean Square Error of Approximation (RMSEA)=.049, Expected Cross-Validation Index (ECVI)=1.416; Parents: χ (2)/df=2.89, CFI=.85, GFI=.91, RMSEA=.053, ECVI=1.528). Moreover, the comparison of the models through Δχ (2) index (chi-square difference between rival models) indicates a better fit for this model, Δχ (2) (24)=186.5, p<.001 for adolescents and Δχ (2) (24)=209, p<.001 for parents. Also, the three second-order factors have good internal consistency, convergent and discriminant validity for all factors in both samples.

Conclusions: Results postulate that the three factors and their nine subcategories account for correlations between sleep habits, self-perceptions and knowledge about sleep.

No MeSH data available.