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- Validation of the Portuguese version of the Pittsburgh Sleep Quality Index (PSQI-PT)Publication . João, Karine; Brandolim Becker, Nathália; Jesus, Saúl; Santos Martins, Rute IsabelThe present study was realised to validate the Portuguese version of the PSQI. The instrument PSQI-PT was applied to 347 Portuguese community -dwelling adults aged 18-69 years old. The resulting data was used to perform the psychometric analysis to validate the instrument. No structural modifications to the questionnaire were necessary during the adaptation process. The scores for the PSQI-PT showed an adequate internal consistency. The principal component analysis (PCA) produced good factor loading for all items. Finally, the analysis of demographic variables showed that age and literacy influence the values for the "Global Sleep Quality" (GSQ) in this Portuguese sample. In conclusion, this study demonstrated that the PSQI-PT is a valid and reliable instrument for the assessment of sleep quality with the advantage of allowing community -dwelling adults differentiation between good and poor sleepers.
- Adaptation of a 3-factor model for the Pittsburgh Sleep Quality Index in Portuguese older adultsPublication . Brandolim Becker, Nathália; De jesus, SaúlThe present study examined the factor structure of the Pittsburgh Sleep Quality Index (PSQI) in a sample of older Portuguese adults using a cross-validation approach. Design is a cross-sectional. A convenience sample of 204 community-dwelling older adults (M=70.05, SD=7.15) were included. The global sleep quality (GSQ) score ranged from 0 to 18 with a mean of 5.98 (SD +/- 3.45). The distribution showed that gender and perception of oneself as healthy influences GSQ in this sample. Cronbach's alpha was 0.69, but increased to 0.70 if the "use of sleep medication" component was deleted. Exploratory factor analysis (EPA) demonstrated two factor model is better than one factor, and a model fit with good indices (chi-square=8.649, df=8, p=0.373). Confirmatory factor analysis (CFA) was performed on the single factor, two factor, and three factor models, with and without the "use of sleep medications" component. The best model was the 3-factor model without the "use of sleep medications" component (chi-square=1.214, df=6, GFI=0.997, AGFI=0.918, CFI=0.986, RMSEA=0.046). The adaptation of the model is similar to the original model, with the only change being the exclusion of the "use of medications to sleep" component. We suggest using that component as a complementary qualitative assessment of health.