Cognitive Behavioral Treatment For Insomnia Research Articles

Predictors of Interest in Psychological Treatment for Insomnia Among Older Primary Care Patients With Disturbed Sleep

In this study, we examined whether the common sense model of illness representation (CSMIR) could be successfully used to predict interest in cognitive-behavioral treatment for insomnia (CBT-I) among older primary care patients with disturbed sleep. The Sleep Impairment Index (C. M. Morin, 1993) was used to assess sleep disturbance and the constructs of the CSMIR in primary care patients ages 55 and older. Statistical analyses showed that the CSMIR constructs of consequences (perceived adverse consequences of sleep disturbance to functioning), causes (attributing one's insomnia to bad sleeping habits), and emotion (concern about one's sleep problem) predicted interest in CBT-I. These data provided encouraging support for the ability of the CSMIR to accurately predict patient interest in treatment for insomnia. Implications for assessment and treatment of insomnia in primary care are discussed.

Cognitive-behavioral group therapy for insomnia in individuals with serious mental illnesses: a preliminary evaluation.

Chronic insomnia is a problem among individuals with serious mental illnesses. In an effort to expand treatment options, we examined whether well-established cognitive-behavioral treatments for insomnia developed for individuals in the general population generalize to those for people with serious mental illnesses. Individuals participated in comprehensive sleep evaluations and cognitive-behavioral therapy. Results suggest that sleep problems often began during periods of distress and/or exacerbation of illness but were maintained by environmental, behavioral, and cognitive factors. With the treatment, participants reported improvement in many sleep parameters. Initial indication is that cognitive-behavioral therapy does generalize. More rigorous research seems warranted.

Self-Efficacy and Adherence to Cognitive-Behavioral Treatment of Insomnia

This study describes a self-efficacy (SE) scale and examines its usefulness in predicting adherence to cognitive-behavioral therapy (CBT) of insomnia. The SE scale, which included three subscales (global, task-related, and self-regulation), was administered to 39 patients receiving CBT for primary insomnia. Participants'daily sleep diaries were used to estimate their adherence to treatment. The results showed that the SE scale has adequate psychometric properties. Treatment adherence increased from Week 2 to Week 7 and decreased during the week following the last therapy session. In general, the global self-efficacy measure was more strongly associated with adherence during the first week of treatment, whereas the task-related efficacy was more strongly associated with adherence behaviors from Weeks 4 to 8. These findings suggest that self-efficacy perceptions are useful in predicting adherence to CBT of insomnia.