The relationship between Pittsburgh Sleep Quality Index subscales and diabetes control.
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ABSTRACT:
SUBMITTER: Telford O
PROVIDER: S-EPMC7187808 | biostudies-literature | 2019 Sep
REPOSITORIES: biostudies-literature
Publications
The relationship between Pittsburgh Sleep Quality Index subscales and diabetes control.
Telford Onala O Diamantidis Clarissa J CJ Bosworth Hayden B HB Patel Uptal D UD Davenport Clemontina A CA Oakes Megan M MM Crowley Matthew J MJ
Chronic illness 20180222 3
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Project description:Study objectivesPrevious research has reported mixed results in terms of sex differences in sleep quality. We conducted an analysis of measurement invariance of the Pittsburgh Sleep Quality Index (PSQI) between men and women to provide a necessary foundation for examining sleep differences.MethodsThe sample included 861 adults (mean age = 52.73 years, 47.85% male) from the 2012-2016 wave of the Midlife in the United States (MIDUS) Refresher Biomarker survey. We randomly divided the sample into two half samples for exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), respectively. We conducted EFA with a weighted least squares mean and variance adjusted (WLSMV) estimator and Geomin rotation to explore the underlying structure of the PSQI. We then employed multiple-group CFA with the WLSMV estimator and theta parameterization to examine measurement invariance between males and females.ResultsEFA suggested a two-factor structure of the PSQI, and the two-factor CFA model fit the data well. The finding that the two-factor PSQI model was invariant between males and females on configuration, factor loadings, thresholds for all but one measure, and residual variances for all but one measure provided evidence that the two-factor PSQI model was partially invariant between men and women. Females had higher means on latent factors, suggesting worse self-reports of sleep among women.ConclusionsOverall, the measure of the PSQI assesses the same factors in a comparable way among men and women. Women reported worse sleep than men.
| S-EPMC7099181 | biostudies-literature
Project description:Background: Previous studies have suggested that sleep quality is associated with depressive symptoms. However, associations between overall sleep quality and depressive symptoms in Chinese resident physicians remain unclear. Therefore, we aimed to determine whether overall sleep quality is associated with depressive symptoms in Chinese resident physicians. Methods: This cross-sectional study included 1,230 resident physicians. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was applied to estimate the associations between the PSQI and PHQ-9. Results: Among all participants, the prevalence of mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms were 48.28 and 12.93%, respectively. PSQI score was positively associated with PHQ-9 score before and after adjustments of socio-demographic, behavioral, and psychologic confounding factors (all P < 0.0001). After adjustments, the regression coefficients (standard error) between PSQI scores and PHQ-9 scores were 0.95 (0.04), 0.88 (0.09), and 0.96 (0.05) in all participants, men, and women, respectively. Compared to physicians with good sleep quality (PSQI scores ≤ 5), the adjusted odds ratios (ORs) [95% confidence intervals (CIs)] for mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms in physicians with poor sleep quality were 7.15 (5.44, 9.46) and 6.17 (4.03, 9.71) in all participants, respectively. Conclusions: Our findings suggest that poor sleep quality was associated with a higher prevalence of depressive symptoms in Chinese resident physicians.
| S-EPMC8206480 | biostudies-literature
Project description:Objective/introductionLengthy surveys have the potential to burden users and can lead to inaccuracies. Conducting analyses to shorten existing validated surveys is beneficial. The objective, therefore, was to shorten the Pittsburgh Quality Sleep Index (PSQI) for young adults.MethodsPSQI data from 1246 college students were used. An exploratory factor analysis (FA) was utilized to shorten survey after dropping select items. Nonparametric correlation analysis (Spearman's rho) was conducted between the global sleep scores of the shortened and original surveys. Agreements tests (Kappa and McNemar's test) measured the agreement of the surveys and sensitivity and specificity were evaluated.ResultsSix factors were examined using maximum likelihood factoring method, applying squared multiple correlations with Promax rotation to allow for correlated variables. FA with six factors explained 100% of shared variance based on eigenvalues and accounted for 61% of variability based on variables. The FA resulted in 13 selected questions ("shortPSQI"), corresponding to 5 of the 7 components of the original survey. High correlation was found between the global scores of the original survey and the "shortPSQI" (rho = 0.94, p < 0.001). When the global score was converted to the categorical variable of good or poor sleepers, the agreement test indicated strong agreement (Kappa 0.83, 95% CI 0.79-0.86, p < 0.0001).ConclusionThe validated, 19-item PSQI survey was shortened to 13 items. Tests of correlation and agreement indicate the "shortPSQI" may be an acceptable alternative to the original survey for young adults.Clinical trial registrationData for this study was taken from the Get Fruved study, registered on October 21, 2016, on clinicaltrials.gov (NCT02941497).
| S-EPMC5925150 | biostudies-literature
Project description:ObjectivesMultiple studies have found that cigarette smokers are more likely to experience sleep disturbances than non-smokers. This study aimed to examine various associations between smoking and sleep quality according to sex and age, which have yet to be sufficiently examined in prior studies.MethodsData analysis was conducted using a nationally representative sample of 224,986 Korean adults who participated in the 2018 Korea Community Health Survey. Sleep quality, as the dependent variable, was measured using the Pittsburgh Sleep Quality Index (PSQI), with PSQI scores indicating either good (≤4 points) or poor (>5 points) sleep quality. Multiple logistic regression analysis was performed considering socio-demographic factors, health behaviors, comorbidities, and psychological factors as covariates.ResultsThe overall weighted prevalence of poor sleep quality was 39.4% (95% confidence interval, 39.1 to 39.7). In the multivariate model that excluded psychological factors, poor sleep quality positively correlated to smoking for both sexes and all age groups except for male aged ≥65 years. However, in the full model that included psychological factors, statistically significant odds ratios (approximately 1.5) for poor sleep quality according to smoking status were only observed for female under 65 years of age.ConclusionsThe relationship between poor sleep quality and smoking status differed according to sex and age. In order to improve the quality of sleep, it is necessary to intervene smoking cessation along with solving psychological problems, especially female in middle age and younger.
| S-EPMC9117098 | biostudies-literature
Project description:The Pittsburgh Sleep Quality Index (PSQI) is a self-reported questionnaire evaluating sleep quality based on seven domains of sleep disorders. However, the factor structure of PSQI needs to be well-established among medical students. This study was conducted to establish the factor structure of PSQI among medical students. Four-hundred and four medical students completed the PSQI. Considering each PSQI component as an "observed variable," exploratory factor analysis was conducted. Six models explaining the factor structure of PSQI were compared by confirmatory factor analysis to achieve the best model. All PSQI components were loaded on three factors. The first factor included sleep duration and habitual sleep efficiency, the second was subjective sleep quality and sleep latency, and the third was sleep disturbances, sleeping medications, and daytime dysfunction (root mean square error of approximation = < 0.01, goodness of fit index = 0.99). The differences in Bayesian information criteria and root mean square error of approximation between our best-fit model and each of the other resulted in rejection of all other Models. Besides confirming the structural validity among medical students, our findings indicated the adequacy of the 3-factor structure of PSQI, including sleep efficiency, perceived sleep quality, and daily disturbances in this population.
| S-EPMC10794382 | biostudies-literature
Project description:This study aimed to assess the test-retest reliability and validity of the Arabic version of the Pittsburgh Sleep Quality Index (A-PSQI), a 19-item sleep evaluation tool, in a population of medical students and interns in Saudi Arabia. Following a 16-person pilot study, 202 participants completed 2 A-PSQI questionnaires with a 2-week test-retest interval to avoid a carryover effect. Statistical analysis using RStudio included Cronbach alpha, Spearman rank correlation, and the intraclass correlation coefficient (ICC). The ICC results showed moderate to strong correlations in most PSQI components. The "Sleep efficiency" component had the lowest ICC (0.460), while "Sleep latency" had the highest (0.730). Overall, the PSQI reliability score is 0.694. Gender (sex assigned at birth) and academic level had no significant impact on the PSQI scores. The sleep quality categories (poor quality, good quality, and acute sleep disturbance) remained stable over time. The A-PSQI demonstrates varying internal consistency across components, with some displaying lower reliability. Nevertheless, it exhibits moderate to strong reliability, and the study confirms the stability of sleep quality categories over time among medical students and interns. This serves as a final validation step to set the stage for large-scale research in the region. This pioneering study is the first test-retest reliability investigation of the A-PSQI, addressing a critical gap in sleep assessment tools tailored to clinical practices in Arabic-speaking communities. It follows the pathway set by previous studies and serves to validate the A-PSQI in this demographic, providing a vital foundation for more catered sleep medicine in the region, targeting better reach to overlooked monolinguals. These findings advance our understanding of sleep quality among medical trainees and contribute to the development of culturally relevant sleep assessment tools.
| S-EPMC11749724 | biostudies-literature
Project description:BackgroundAlopecia areata (AA) is common non-scarring hair loss disease. Sleep distrubance has been regarded as a triggering or aggravating factor for AA. However, objective evaluation of sleep disturbance and its clinical effect on AA has not been clearly demonstrated.ObjectiveThis study investigated objective sleep evaluation tool for AA patients and their clinical correlation.MethodsPatients presenting with new-onset AA or recurrences of pre-existing AA were included, and those who reported sleep disturbance in the preliminary survey were designated as the sleep disturbance group (SD group). Sleep quality was investigated for them using three self-administered questionnaires: Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleep Scale (ESS). Demographic information and clinical features of AA were analyzed according to sleep quality.ResultsA total of 400 participants were enrolled, and 53 were categorized into the SD group. The incidence of stressful events was significantly higher in the SD group (54.7%) than in the non-SD group (25.1%) (p<0.001). Based on the PSQI, 77.3% of participants were objective poor sleepers (score of 5 or more), and they showed a significantly higher incidence of stressful events compared to good sleepers (p=0.019). The proportion of poor sleepers was significantly lower in patients with mild AA (S1) than in those with moderate to severe AA (S2~S5) (p=0.045).ConclusionThis study demonstrated a positive correlation among stress, SD, and AA. The degree of SD was objectively represented by the PSQI score, showing different scores according to AA severity.
| S-EPMC10258550 | biostudies-literature
Project description:Objectives: Evaluate the psychometric properties and structural validity of the Filipino version of the Pittsburgh Sleep Quality Index (PSQI) among Filipino domestic workers (FDWs). Methods: In Study 1, 131 FDWs completed PSQI and other scales, along with 10-day actigraphic assessment with accompanying electronic daily sleep dairy. A subsample of 61 participants completed follow-up assessment after 10 days. In Study 2, 1363 FDWs were recruited and randomized into two halves. Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were used in the two halves, respectively. Results: In Study 1, the Cronbach's alpha of the PSQI was 0.63 at baseline and 0.67 at follow-up. Test-retest reliability for the PSQI global score based on intraclass correlation was 0.63. Convergent validity was supported by the significant associations between the PSQI global score, PSQI components scores, sleep patterns from the daily sleep diary, and measures of depression, anxiety, and rumination. Small correlations between the PSQI global score and measures of daytime sleepiness, social support, and self-reported height, supported discriminant validity. In Study 2, EFA yielded two PSQI factors with acceptable factor loadings. CFA established that this two-factor model, comprised of perceived sleep quality and sleep efficiency, evidenced better model fit than alternative models tested. The Cronbach's alpha of two factors was 0.70 and 0.81, respectively. Conclusions: The PSQI demonstrated good internal consistency of two factors, and good convergent, and divergent validity. Results can be referenced in future studies to measure and screen sleep dysfunction among clinical and non-clinical populations in the Philippines.
| S-EPMC7400329 | biostudies-literature
Project description:BackgroundThe Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report questionnaire that measures general sleep quality in general populations. However, its psychometric properties have yet to be thoroughly examined in longevous persons.ObjectivesThis study aimed to explore the reliability, validity and factor structure of the Chinese-language version of the PSQI in community-dwelling centenarians.MethodsA total of 958 centenarians (mean age = 102.8 years; 81.8% females) recruited from 18 regions in Hainan, China, completed the PSQI scale. Cronbach's alpha coefficient was used to measure the internal consistency. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to explore the validity and factor structure of the PSQI in this sample. Correlations between the global PSQI score and physical function, depression symptoms, self-reported health status and subjective well-being were used to assess divergent validity.ResultsThe Cronbach's α coefficient of the PSQI was 0.68, and it increased to 0.78 after two components (medication use and daytime dysfunction) were removed. The Spearman correlation coefficients of the PSQI score with each component were statistically significant (P<0.01). EFA yielded a two-factor structure model of the original PSQI-7 and a one-factor structure model of the simplified PSQI-5. The one-factor model with five components (χ2/df =1.59, CFI=0.99, RMSEA=0.03) fit the data well and had good configural invariance across demographic characteristics (0.53<Δχ2<5.58, P>0.05).ConclusionsThe original PSQI showed acceptable applicability in Chinese community-dwelling centenarians, and its psychometric characteristics moderately improved after sleeping medication and daytime dysfunction were removed. Further validation studies on PSQI are needed among centenarians from varied backgrounds.
| S-EPMC7488982 | biostudies-literature
Project description:Objective/backgroundThere have been conducted few studies in Iran on the quality of sleep in the general population. This study aimed to use the item response theory (IRT) model to examine the accuracy of the seven components of the Pittsburgh Sleep Quality Index (PSQI) and to provide an appropriate cut-off point for population-based studies.MethodsThis study was performed using the data of the second phase of the Shahroud Eye Cohort Study (ShECS) in 2014. The sleep quality of 4710 participants was measured through PSQI. Using an IRT model, the seven components of the index are considered as indicators and sleep quality as the latent variable in the measurement model. This model supposed that there is only one hidden component to explain the respondent's behavior to a number of items.ResultsResults of analyzing different components of PSQI showed that component 6 (using sleep medication) and 7 (daytime dysfunction disorder) had the lowest values of discrimination parameter and component 4 (habitual sleep efficiency) and 1 (sleep quality) had the highest value of discrimination parameter. Persons with an expected sleep quality score of less than or equal to 6.5 will be defined as good sleep quality pattern.ConclusionsSince discrimination values for components 6 and 7 are less than the values for other components, the use of the standardized latent scores is emphasized for assessing the quality of sleep in the population.
| S-EPMC8319517 | biostudies-literature