Learning Objective #1: To provide information of prevalence and severity of sleep disturbance in patients with advanced non-small cell lung cancer.

Learning Objective #2: To determine the evaluating methods of sleep distrubance in patients with non-small cell lung cancer.

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Sleep Disturbance in Taiwanese Patients with Non-small Cell Lung Cancer Background. Non-small cell lung cancer (NSCLC) accounts for about 85% of lung cancer and the overall 5-year survival is less than 15% (Jemal, Murray, Samuels, Ghafoor, Ward, Thun, 2003). The predominance of palliative rather than curative treatment methods in this patient group implies that issues of symptom relief are of paramount importance for patients with lung cancer. Insomnia is the most common sleep disturbance in cancer population and is most often secondary to physical and/or psychological factors related to cancer and/or cancer treatment (Ancoli-israel, Moore, Jones, 2001). Little attention has been paid in incidence and severity of sleep disturbances and their impact on lung cancer patients. Objectives. To investigate prevalence and severity of sleep disturbance in patients with advanced non-small cell lung cancer. Methods. A cross-sectional research design was undertaken for this study. Measurements included Chinese Version Pittsburgh Sleep Quality Index (CPSQI), Actigraph, and Sleep Log. Patients completed the CPSQI in the unit and were asked to wear an actigraph on the nondominant arm continuously for one week and keeping a written 7-day daily sleep log. Preliminary analyses & findings. The C2 (sleep latency) score significantly correlated to the SOL (r=.593, p<0.001) derived from the 7-day daily sleep log. The global score inversely correlated with sleep quality (r=-.444, p<.018). Several components scores of 7-day daily sleep log (SOL, TTSB, SE) significantly similar to several sleep parameter derived from the actigraph. Conclusion. Results showed the sleep disturbance scores of the lung cancer patients was existed. Moreover, objective data and subject data for sleep measurement tools were in strong agreement, both of them could provide accurate information about sleep/wake patterns. Key words: CPSQI, Actigraph, Lung cancer