Chang-Ho Yun1, Hyun Kim2, Seung Ku Lee3, Sooyeon Suh4, Seung Hoon Lee5, Seong-Ho Park1, Robert J Thomas6, Rhoda Au7, Chol Shin8. 1. Department of Neurology and Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. 2. Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; Department of Psychology, Boston University, Boston, MA, USA. 3. Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea. 4. Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; Department of Psychology, Sungshin Women's University, Seoul, Republic of Korea; Department of Psychiatry, Stanford University, Palo Alto, CA, USA. 5. Department of Otorhinolaryngology-Head and Neck Surgery, Korea University Ansan Hospital, Ansan, Republic of Korea. 6. Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. 7. Department of Neurology, School of Medicine, Boston University, Boston, MA, USA. 8. Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; Division of Pulmonary, Sleep and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea. Electronic address: chol-shin@korea.ac.kr.
Abstract
OBJECTIVE: We aimed to determine the association between psychomotor vigilance task (PVT) performance and sleep-related factors including sleep duration, daytime sleepiness, poor sleep quality, insomnia, and habitual snoring in a population-based sample. METHODS: This was a cross-sectional analysis from the ongoing prospective cohort study, the Korean Genome and Epidemiology Study. We measured PVT performance and documented demographics, sleep-related factors, life style, and medical conditions in community dwelling adults (N = 2499; mean age 57.1 ± 7.3; male 1259). Associations between PVT parameters and sleep-related factors were tested, adjusting for age, gender, smoking, alcohol use, education, body mass index, hypertension, diabetes, depression, and the interval between mid-sleep time and PVT test. RESULTS: High Epworth Sleepiness Scale (ESS, ≥8) was associated with slower mean reciprocal response speed (mean RRT) (3.69 ± 0.02 vs. 3.77 ± 0.01, p < 0.001), higher probability for increased lapses (≥4) (OR 1.48, CI 1.12-1.88, p = 0.001), and more negative RRT slope (-0.036 ± 0.002 vs. -0.030 ± 0.001, p = 0.02). Older age, female gender, low education level, depressive mood, and the interval between mid-sleep and PVT test were also associated with poor performance. Sleep duration, habitual snoring, insomnia, or poor sleep quality (the Pittsburgh Sleep Quality Index score > 5) was not related to PVT parameters. CONCLUSIONS: At the population level, our results revealed important modifiers of PVT performance, which included subjective reports of daytime sleepiness.
OBJECTIVE: We aimed to determine the association between psychomotor vigilance task (PVT) performance and sleep-related factors including sleep duration, daytime sleepiness, poor sleep quality, insomnia, and habitual snoring in a population-based sample. METHODS: This was a cross-sectional analysis from the ongoing prospective cohort study, the Korean Genome and Epidemiology Study. We measured PVT performance and documented demographics, sleep-related factors, life style, and medical conditions in community dwelling adults (N = 2499; mean age 57.1 ± 7.3; male 1259). Associations between PVT parameters and sleep-related factors were tested, adjusting for age, gender, smoking, alcohol use, education, body mass index, hypertension, diabetes, depression, and the interval between mid-sleep time and PVT test. RESULTS: High Epworth Sleepiness Scale (ESS, ≥8) was associated with slower mean reciprocal response speed (mean RRT) (3.69 ± 0.02 vs. 3.77 ± 0.01, p < 0.001), higher probability for increased lapses (≥4) (OR 1.48, CI 1.12-1.88, p = 0.001), and more negative RRT slope (-0.036 ± 0.002 vs. -0.030 ± 0.001, p = 0.02). Older age, female gender, low education level, depressive mood, and the interval between mid-sleep and PVT test were also associated with poor performance. Sleep duration, habitual snoring, insomnia, or poor sleep quality (the Pittsburgh Sleep Quality Index score > 5) was not related to PVT parameters. CONCLUSIONS: At the population level, our results revealed important modifiers of PVT performance, which included subjective reports of daytime sleepiness.
Authors: Yun Li; Alexandros N Vgontzas; Julio Fernandez-Mendoza; Ilia Kritikou; Maria Basta; Slobodanka Pejovic; Jordan Gaines; Edward O Bixler Journal: Sleep Date: 2017-02-01 Impact factor: 5.849
Authors: Samu Kainulainen; Brett Duce; Henri Korkalainen; Akseli Leino; Riku Huttunen; Laura Kalevo; Erna S Arnardottir; Antti Kulkas; Sami Myllymaa; Juha Töyräs; Timo Leppänen Journal: ERJ Open Res Date: 2020-11-16
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