BACKGROUND: Lung cancer patients and survivors are vulnerable to disturbed sleep and impaired quality of life (QOL) across the continuum of illness. Few studies have sought to identify predictors of QOL using well-validated measures of both sleep quality and QOL in this population. PURPOSE: The purpose of this study was to examine factors associated with lung cancer that are predictive of QOL in adult lung cancer patients and survivors in the outpatient setting. METHOD: Cross-sectional data collected exclusively in the outpatient setting from three lung cancer clinics in the Northeastern United States were pooled and analyzed. The pooled sample (N = 103) data included cancer type and stage, body mass index, Pittsburgh Sleep Quality Index, and Functional Assessment of Cancer Treatment-Lung information. RESULTS: Significant correlations between sleep quality, lung cancer symptom severity, and QOL were observed. Sleep quality and lung cancer symptoms were found to be statistically significant predictors of QOL. No significant differences in QOL were found based on cancer type or recruitment source. Demographic factors and cancer stage were also not predictive of overall QOL. CONCLUSIONS: Lung cancer symptoms and sleep quality were important determinants of QOL in this pooled sample of lung cancer patients and survivors. IMPLICATIONS FOR PRACTICE: Patients and survivors of lung cancer require routine screening for sleep disturbance, lung cancer symptoms, and QOL needs. Nurse practitioners can help improve QOL in this population by screening for and treating sleep disturbance and lung cancer symptoms.
BACKGROUND: Lung cancer patients and survivors are vulnerable to disturbed sleep and impaired quality of life (QOL) across the continuum of illness. Few studies have sought to identify predictors of QOL using well-validated measures of both sleep quality and QOL in this population. PURPOSE: The purpose of this study was to examine factors associated with lung cancer that are predictive of QOL in adult lung cancer patients and survivors in the outpatient setting. METHOD: Cross-sectional data collected exclusively in the outpatient setting from three lung cancer clinics in the Northeastern United States were pooled and analyzed. The pooled sample (N = 103) data included cancer type and stage, body mass index, Pittsburgh Sleep Quality Index, and Functional Assessment of Cancer Treatment-Lung information. RESULTS: Significant correlations between sleep quality, lung cancer symptom severity, and QOL were observed. Sleep quality and lung cancer symptoms were found to be statistically significant predictors of QOL. No significant differences in QOL were found based on cancer type or recruitment source. Demographic factors and cancer stage were also not predictive of overall QOL. CONCLUSIONS: Lung cancer symptoms and sleep quality were important determinants of QOL in this pooled sample of lung cancer patients and survivors. IMPLICATIONS FOR PRACTICE: Patients and survivors of lung cancer require routine screening for sleep disturbance, lung cancer symptoms, and QOL needs. Nurse practitioners can help improve QOL in this population by screening for and treating sleep disturbance and lung cancer symptoms.
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