Publications by authors named "Gregory S Vander Wal"

To illuminate the course of insomnia in the presence of an acute comorbidity, we examined the association between insomnia severity and breast cancer symptom severity over time and determined if this association varies with insomnia history and presleep arousal. Twenty-nine newly diagnosed breast cancer patients, who also exhibited insomnia, completed sleep diary and cancer symptom severity questionnaires every other week (total of 28 days) over 7 weeks, as well as baseline and postobservation measures. Participants were defined as having insomnia prior to cancer (IPC) or insomnia secondary to cancer (ISC) based on precancer sleep status.

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Sleep duration among breast cancer survivors correlates with fatigue, depression, and health-related quality of life (HRQOL); however, this has not been studied longitudinally. This study investigated patterns of sleep duration change across the early breast cancer survivorship period, their demographic and clinical predictors, and their relationships with subsequent cancer-related symptoms and HRQOL. Breast cancer survivors (n = 572), were assessed 6 months post-diagnosis (current sleep & retrospective reports of pre-diagnosis sleep), 30 months post-diagnosis (sleep), and 39 months post-diagnosis (symptoms, HRQOL).

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Purpose: To produce a valid insomnia treatment satisfaction questionnaire (ITSAT-Q) to assess treatment satisfaction with pharmacotherapy for use in patients with insomnia.

Patients And Methods: Items developed for a self-administered questionnaire were analyzed using exploratory factor analysis (EFA), which produced 5 dimensions. Confirmatory factor analysis was used to verify results from EFA, and structural equation modeling was used to test the hypothesized relationship among the dimensions.

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Objectives: The relationship between reports of insomnia and daytime functioning was investigated using hierarchical regression. The presence or absence of a report of insomnia was the predictor of primary interest. A number of covariates were included in the model: demographic variables, health variables, and quantitative sleep parameters.

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