Validation of the three-factor model of the PSQI in a large sample of chronic fatigue syndrome (CFS) patients
ABSTRACT To evaluate whether a 3-factor model of the Pittsburgh Sleep Quality Index (PSQI) scale would fit the constellation of sleep disturbances in patients with a diagnosis of chronic fatigue syndrome (CFS).
Consecutive CFS patients filled out the PSQI. Scores from this self-report questionnaire were examined with exploratory and confirmatory factor analysis (CFA).
413 CFS patients were included for analysis in this study. CFA showed that the 7 PSQI component scores clustered into the 3 factors reported by Cole et al. (2006), i.e. Sleep Efficiency, Perceived Sleep Quality and Daily Disturbances. In contrast with the single-factor and all 2-factor models, all factor loadings were significant, and all goodness-of-fit values were acceptable.
In CFS, the PSQI operates as a 3-factor scoring model as initially seen in healthy and depressed older adults. The separation into 3 discrete factors suggests the limited usefulness of the global PSQI as a single factor for the assessment of subjective sleep quality, as also evidenced by a low Cronbach's alpha (0.64) in this patient sample.
Full-textDOI: · Available from: Liesbeth Delesie, Aug 10, 2015
- SourceAvailable from: Maarten Vansteenkiste
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- "), critical as to move away from a focus on fatigue by including positive indicators of energy. Overall, the separation of the PSQI into three distinct factors underscores the claim from previous studies that the global PSQI has limited usefulness as a single factor (Mariman et al., 2012). Indeed, a more heterogeneous approach involves the recognition that sleep and day-related parameters can be distinguished and that, in turn, sleep outcomes can be differentiated into more refined categories. "
ABSTRACT: Although ample research has shown the satisfaction of the basic psychological needs for autonomy, competence, and relatedness, as defined within Self-Determination Theory, to be related to well-being, the relation with sleep-related functioning has not yet been examined. Hence, the present study explored the association between basic psychological need satisfaction and subjective measures of sleep and daytime dysfunction, as well as the explanatory role of need satisfaction in the relation between mindfulness and financial strain and these outcomes, in an adult sample (N = 215, 61% female; Mean age = 31). The results indicated that low psychological need satisfaction related to poor sleep quality, lower sleep quantity, and more daytime dysfunction. Finally, mindfulness and financial strain related, respectively, negatively and positively to poor sleep quality and daytime dysfunction through need satisfaction, suggesting that need satisfaction represents a critical explanatory mechanism. The role of psychological need satisfaction in the adequate regulation and satisfaction of the physiological need for sleep is discussed.Personality and Individual Differences 04/2015; 77. DOI:10.1016/j.paid.2015.01.003 · 1.86 Impact Factor
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- "Accordingly, Cole et al. derived a three-factor model of the PSQI: sleep efficiency (comprising PSQI components: sleep efficiency and sleep duration), perceived sleep quality (comprising PSQI components: use of sleep medication, sleep latency, and subjective sleep quality), and daily disturbances (comprising PSQI components: daytime dysfunction and sleep disturbance). This model has been used in a range of community studies with young and older adults, and in people with chronic fatigue syndrome (Aloba, Adewuya, Ola, & Mapayi, 2007; Cole et al., 2006; Mariman et al., 2012). The short form of the Depression Anxiety and Stress Scale (DASS–21; Lovibond & Lovibond , 1995) measures the frequency of these core negative symptoms over the past week. "
ABSTRACT: Controversy exists as to whether self-reported sleep quality declines with age, despite changes in sleep being accepted as part of normal aging. This study sought to investigate age-related differences in self-reported sleep quality, after controlling for conditions that are common with age, such as psychological symptoms and increased risk of sleep-disordered breathing (SDB). The Pittsburgh Sleep Quality Index (PSQI) was administered to a sample of 582 community adults (aged 18-89 years), and the association between age and 3 factors of the PSQI (sleep efficiency, perceived sleep quality, and daily disturbance), and global scores, was examined controlling for depression, anxiety, stress, gender, and SDB risk. Results indicate that (a) before controlling for covariates, there was no significant relation between age and all indexes of self-reported sleep quality, with the exception of sleep efficiency. However, once depression, gender, and SDB risk were controlled for, a significant, yet small, relation was revealed between older age and poorer global sleep quality; (b) there was no association between age and perceived sleep quality or daily disturbances before or after controlling for relevant covariates; and (c) depression, gender, and SDB risk were significant predictors of poorer sleep quality across the indexes but, in general, did not have a marked impact on the relation between age and sleep quality. In conclusion, results suggest that sleep problems are common across the lifespan, and that there were modest age-related differences in self-reported sleep quality, which were not due to depressed mood, gender, or risk of SDB.Behavioral Sleep Medicine 06/2013; 12(3). DOI:10.1080/15402002.2013.801343 · 1.56 Impact Factor
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ABSTRACT: PurposeThe purpose of this study is to investigate the association of impaired sleep quality and daytime sleepiness on self-reported diabetes control and psychological and social factors that affect diabetes self-management.Methods Participants were 107 adults with type 2 diabetes (T2DM) with self-reported daytime sleepiness. Subjective sleepiness was assessed using the Epworth Sleepiness Scale (ESS); sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) Global score and its 3 factors of Perceived Sleep Quality, Sleep Efficiency, and Daily Disturbances. The Diabetes Care Profile (DCP) scales (Control Problems, Social and Personal Factors, Positive Attitude, Negative Attitude, Self-Care Adherence, and Diet Adherence) were used to measure difficulty in maintaining glycemic control and factors important for diabetes control.ResultsPoor sleep quality was associated with significantly worse scores on the DCP scales, with lower diabetes control, negative attitude, decreased positive attitude, lower self-care adherence, and decreased adherence to dietary adherence. Hierarchal linear regression modeling revealed no significant associations between diabetes control problems and age, education, gender, and daytime sleepiness. Being married or partnered significantly decreased glycemic control problems, whereas poor sleep quality increased diabetes control problems. Further examination of PSQI factors (perceived sleep quality, sleep efficiency, and daily disturbances) found that being married or partnered significantly decreased diabetes control problems, whereas of the 3 factors of the PSQI, only the Daily Disturbances factor was significantly associated with increased diabetes control problems.Conclusions Impaired sleep quality and daytime sleepiness are associated with decreased diabetes self-management in adults with T2DM.The Diabetes Educator 11/2012; 39(1). DOI:10.1177/0145721712467683 · 1.92 Impact Factor