Dataset Information

Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore.

ABSTRACT: The Pittsburgh Sleep Quality Index (PSQI) is a widely used measure for assessing sleep impairment. Although it was developed as a unidimensional instrument, there is much debate that it contains multidimensional latent constructs. This study aims to investigate the dimensionality of the underlying factor structure of the PSQI in a multi-ethnic working population in Singapore. The PSQI was administered on three occasions (baseline, 3 months and 12 months) to full-time employees participating in a workplace cohort study. Exploratory factor analysis (EFA) investigated the latent factor structure of the scale at each timepoint. Confirmatory factor analysis (CFA) evaluated the model identified by EFA, and additionally evaluated it against a single factor and a three-factor model. The EFA identified a two-factor model with similar internal consistency and goodness-of-fit across each timepoint. In the CFA, the two- and three-factor models were both superior to the unidimensional model. The two- and three-factor models of the PSQI were reliable, consistent and provided similar goodness-of-fit over time, and both models were superior to the unidimensional measure. We recommend using the two-factor model to assess sleep characteristics in working populations in Singapore, given that it performs as well as the three-factor model and is simpler compared to the latter.

SUBMITTER: Dunleavy G

PROVIDER: S-EPMC6926964 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore.

Dunleavy Gerard G Bajpai Ram R Tonon André Comiran AC Chua Ai Ping AP Cheung Kei Long KL Soh Chee-Kiong CK Christopoulos Georgios G Vries Hein de H Car Josip J

International journal of environmental research and public health 20191120 23

The Pittsburgh Sleep Quality Index (PSQI) is a widely used measure for assessing sleep impairment. Although it was developed as a unidimensional instrument, there is much debate that it contains multidimensional latent constructs. This study aims to investigate the dimensionality of the underlying factor structure of the PSQI in a multi-ethnic working population in Singapore. The PSQI was administered on three occasions (baseline, 3 months and 12 months) to full-time employees participating in a ...[more]

PMID: 31756941

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Project description:BackgroundPoor sleep quality is one of the prevalent manifestations experienced by cancer patients. There is a lack of research focusing specifically on sleep quality and affecting factors in Gastrointestinal (GI) cancer patients. This study aimed to assess the potential interaction between dietary, comorbid conditions, demographic, and socioeconomic determinants of sleep quality in GI cancer patients.MethodsIn a cross-sectional study, the Pittsburg Sleep Quality Index (PSQI) was completed for 875 adult patients suffering from GI cancer in a referral hospital. We conducted structural equation modeling analyses to evaluate the potential interaction between dietary and socioeconomic determinants of sleep quality in GI cancer patients.ResultsThis study demonstrated that the PSQI encompasses two factors (perceived sleep quality and sleep disturbances) in GI cancer patients in Iran. Based on the standardized coefficients for the structural paths, the wealth index (WI) partially mediated the effect of food insecurity (FI) on the sleep quality index. There was a direct predictive effect of the WI on the PSQI (β = 0.10, P = 0.01). In addition, WI indirectly through FI (effect of WI on FI: β = -0.21, P = 0.01 & effect of FI on PSQI: β = 0.07, P = 0.03) had a negative effect on PSQI. Our finding suggested the full mediation effect of age on PSQI through the number of comorbidities (effect of age on number of comorbidities: β = 0.25, P < 0.001 & the effect of number of comorbidities on PSQI: β = 0.13, P < 0.001). Structural path outputs for gender-model indicated the full mediation effect of age on PSQI through the number of comorbidities among males and through the FI among females.ConclusionThese findings highlight the importance of considering the bi-dimensional construct of the PSQI for assessing sleep quality among GI cancer patients. The current study demonstrated that food insecurity and comorbidity prevalence mediated the relationship between socio-demographic determinants of sleep quality in patients with GI cancer.

Dataset Information

Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore.

Publications

Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore.

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