Approach to and Evaluation of Sleep Disorders

Shelgikar, Anita Valanju; Chervin, Ronald D.

doi:10.1212/01.con.0000427214.00092.0f

Cited by 17 publications

(16 citation statements)

References 33 publications

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“…The centenarians’ sleep quality was not significantly correlated with physical function (Barthel index of ADL). Although daytime dysfunction often accompanies inadequate nighttime sleep ( 62 ), the association was not common in older people with physical function impairments.…”

Section: Discussionmentioning

confidence: 99%

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Zhang

Zhao

et al. 2020

Front. Psychiatry

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Background: The 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. Objectives: This study aimed to explore the reliability, validity and factor structure of the Chinese-language version of the PSQI in community-dwelling centenarians. Methods: A 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 wellbeing were used to assess divergent validity. Results: The Cronbach's a 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 (c 2 /df =1.59, CFI=0.99, RMSEA=0.03) fit the data well and had good configural invariance across demographic characteristics (0.53< D c 2 <5.58, P>0.05). Conclusions: The original PSQI showed acceptable applicability in Chinese communitydwelling centenarians, and its psychometric characteristics moderately improved after

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Section: Discussionmentioning

confidence: 99%

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Zhang

Zhao

et al. 2020

Front. Psychiatry

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“…Longitudinal studies in these underserved populations are warranted to settle the risk of vascular events or vascular death according to the presence of EDS (irrespective of the CVH status). In addition, it is difficult to determine the actual prevalence and severity of OSA on the basis of self-reported EDS, since the latter may be related to a number of different conditions such as metabolic or toxic diseases, or the use of certain drugs [13] . Future studies should include direct measures of sleep architecture that only polysomnography may provide [5] .…”

Section: Discussionmentioning

confidence: 99%

Excessive daytime somnolence and cardiovascular health: A population-based study in rural Ecuador

Brutto

Mera

Zambrano³

et al. 2014

Sleep Science

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In a population-based study conducted in rural Ecuador, 635 stroke-free persons aged ≥40 years were interviewed with the Epworth sleepiness scale and screened to assess their cardiovascular health (CVH) status. Excessive daytime somnolence was present in 22% persons and a poor CVH status in 69%. In a generalized linear model after adjusting for age and sex, excessive daytime somnolence was not associated with a poor CVH status or with any of the individual metrics in the poor range. Excessive daytime somnolence may not be linked to cardiovascular risk factors at the rural level.

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“…Self-perceived sleep quality represents something of a challenge to measure because there is no generally accepted reference or gold standard [18]. One approach would be to use a carefully constructed questionnaire incorporating the recommendations of the American Psychological Association pertaining to clinical sleep dysfunction…”

Section: Measurement Concept Of 'Sleep Quality'mentioning

confidence: 99%

The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis

Mollayeva

Thurairajah

Burton

et al. 2016

Sleep Medicine Reviews

1,186

854

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Approach to and Evaluation of Sleep Disorders

Cited by 17 publications

References 33 publications

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Excessive daytime somnolence and cardiovascular health: A population-based study in rural Ecuador

The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis

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