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Volume 19, Issue 1, Pages 45-51 (January 2009)


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Assessing Sleep During Pregnancy: A Study Across Two Time Points Examining the Pittsburgh Sleep Quality Index and Associations with Depressive Symptoms

Helen Skouteris, PhDaCorresponding Author Informationemail address, Eleanor H. Wertheim, PhDb, Carmela Germano, BBSc (Hons)b, Susan J. Paxton, PhDb, Jeannette Milgrom, PhDc

Received 11 June 2008; received in revised form 29 October 2008; accepted 30 October 2008.

Background and Purpose

Sleep quality seems to be an antecedent to depressive symptoms during pregnancy. We sought to 1) examine the psychometrics of the Pittsburgh Sleep Quality Index (PSQI) in pregnancy; 2) examine whether sleep quality predicted increases in depressive symptoms; and 3) compare PSQI scores across 3 or 2 levels of depressive symptoms.

Methods

Each of the 252 participants completed the Beck Depression Inventory (short form) and a sleep quality measure at mid and late pregnancy.

Results

PSQI total scores showed good internal consistency and construct validity. An improved model of the internal structure of the PSQI in pregnancy was found with 1 factor labeled Sleep Efficiency, a second labeled Night and Daytime Disturbances, and an Overall Sleep Quality component associated with, but separate from, both of these 2 factors. Although PSQI scores showed moderate stability over time, sleep disturbance scores increased in late pregnancy. Importantly, PSQI prospectively predicted increases in depressive symptoms.

Conclusions

Findings suggest that the PSQI is useful in pregnancy research. Findings also support the idea that sleep problems are prospective risk factors for increases in depressive symptoms during pregnancy. Practitioners are advised to screen for sleep quality during early pregnancy.

a Deakin University, Victoria, Australia

b La Trobe University, Victoria, Australia

c School of Behavioural Science, The University of Melbourne, Victoria, Australia

Corresponding Author InformationCorrespondence to: Dr Helen Skouteris, School of Psychology, Deakin University, Burwood, Victoria, 3125, Australia.

 Funded by an Australian Research Council Discovery Grant (DP0557181).

PII: S1049-3867(08)00179-5

doi:10.1016/j.whi.2008.10.004


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