Rainbow T H Ho1, Ted C T Fong2. 1. Centre on Behavioral Health, University of Hong Kong, Hong Kong; Department of Social Work and Social Administration, University of Hong Kong, Hong Kong. 2. Centre on Behavioral Health, University of Hong Kong, Hong Kong. Electronic address: ttaatt@hku.hk.
Abstract
OBJECTIVE: The Pittsburgh Sleep Quality Index (PSQI) is used extensively to assess subjective sleep disturbance in cancer populations. Although previous studies on the PSQI suggested a better fit for a two- or three-factor model than the original one-factor model, none accounted for the indicator-specific effect between sleep duration and habitual sleep efficiency. This study evaluated the PSQI's dimensionality and its convergent validity with cancer-related psychopathological states in female breast cancer patients. METHODS: The PSQI was administered to 197 women with breast cancer. Confirmatory factor analysis examined the relative fit of one-, two-, three-, and revised one-factor models. The PSQI's convergent validity was evaluated via bivariate correlations between the PSQI factor scores and measures of anxiety, depression, fatigue, pain, and quality of life. RESULTS: Confirmatory factor analyses showed an adequate fit for the revised one-factor model with the PSQI global score as the overall index of sleep disturbance. Although the revised one- and two-factor solutions showed statistically equivalent model fits, the one-factor model was selected due to utility reasons. The severity of sleep dysfunction that the PSQI global score represented was positively correlated with anxiety, depression, fatigue, pain, and reduced quality of life. CONCLUSION: The results support the PSQI's original unidimensional structure, demonstrating that the PSQI global score is a valid and parsimonious measure for assessing and screening sleep dysfunction in cancer patients.
OBJECTIVE: The Pittsburgh Sleep Quality Index (PSQI) is used extensively to assess subjective sleep disturbance in cancer populations. Although previous studies on the PSQI suggested a better fit for a two- or three-factor model than the original one-factor model, none accounted for the indicator-specific effect between sleep duration and habitual sleep efficiency. This study evaluated the PSQI's dimensionality and its convergent validity with cancer-related psychopathological states in female breast cancerpatients. METHODS: The PSQI was administered to 197 women with breast cancer. Confirmatory factor analysis examined the relative fit of one-, two-, three-, and revised one-factor models. The PSQI's convergent validity was evaluated via bivariate correlations between the PSQI factor scores and measures of anxiety, depression, fatigue, pain, and quality of life. RESULTS: Confirmatory factor analyses showed an adequate fit for the revised one-factor model with the PSQI global score as the overall index of sleep disturbance. Although the revised one- and two-factor solutions showed statistically equivalent model fits, the one-factor model was selected due to utility reasons. The severity of sleep dysfunction that the PSQI global score represented was positively correlated with anxiety, depression, fatigue, pain, and reduced quality of life. CONCLUSION: The results support the PSQI's original unidimensional structure, demonstrating that the PSQI global score is a valid and parsimonious measure for assessing and screening sleep dysfunction in cancerpatients.
Authors: Julie L Otte; Kevin L Rand; Carol A Landis; Misti L Paudel; Katherine M Newton; Nancy Woods; Janet S Carpenter Journal: Menopause Date: 2015-11 Impact factor: 3.310
Authors: Ted C T Fong; Jessie S M Chan; Cecilia L W Chan; Rainbow T H Ho; Eric T C Ziea; Vivian C W Wong; Bacon F L Ng; S M Ng Journal: Qual Life Res Date: 2015-02-17 Impact factor: 4.147
Authors: Jessie S M Chan; Rainbow T H Ho; Ka-Fai Chung; Chong-Wen Wang; Tzy-Jyun Yao; Siu-Man Ng; Cecilia L W Chan Journal: Evid Based Complement Alternat Med Date: 2014-12-25 Impact factor: 2.629