Tyler C Duffield1, Miranda M Lim2, Melissa Novak3, Amber Lin4, Madison Luther5, Cydni N Williams6, Juan Piantino7. 1. Department of Family Medicine, Division of Sports Medicine, Oregon Health & Science University, Portland, Oregon, USA. Electronic address: duffielt@ohsu.edu. 2. Department of Neurology, Department of Medicine, Division of Pulmonary and Critical Care Medicine, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA; Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, USA; VA Portland Health Care System, Portland, Oregon, USA. 3. Department of Family Medicine, Division of Sports Medicine, Oregon Health & Science University, Portland, Oregon, USA. 4. Center for Policy and Research in Emergency Medicine, Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon, USA. 5. Department of Pediatrics, Division of Neurology, Oregon Health & Science University, Portland, Oregon, USA. 6. Department of Pediatrics, Division of Pediatric Critical Care, Oregon Health & Science University, Portland, Oregon, USA; Critical Care and Neurotrauma Recovery Program, Oregon Health & Science University, Portland, Oregon, USA. 7. Department of Pediatrics, Division of Neurology, Oregon Health & Science University, Portland, Oregon, USA; Critical Care and Neurotrauma Recovery Program, Oregon Health & Science University, Portland, Oregon, USA.
Abstract
OBJECTIVE: Ongoing exploration of factors related to poor sleep in collegiate athletes is important as understanding of the risks and consequences of poor sleep in this specific population increases. DESIGN: Retrospective cohort study. SETTING: University in the Pacific Northwest. PARTICIPANTS: One-hundred thirty-seven male and female collegiate athletes across 5 collision, contact, and limited contact team sports. MEASUREMENTS: Depressive symptoms (Patient Health Questionnaire 9; PHQ-9), anxiety symptoms (General Anxiety Disorder 7; GAD-7), and somatic complaints (Patient Health Questionnaire 15; PHQ-15). Sleep quality (Pittsburgh Sleep Quality Index; PSQI) used both a cutoff score ≥6 and a cutoff score of ≥8, indicating "poor sleep quality" to reduce threats to divergent validity. RESULTS: Poor sleep quality as defined by PSQI ≥ 6 was present in 53% of athletes, and as defined by PSQI ≥ 8 was identified in 33.5% of the cohort. There were no differences in the incidence of poor sleepers between sport, race/ethnicity, or sex. Multiple regression analysis revealed that depressive symptoms, somatic complaints, Caucasian race, male sex, and number of concussions were significant predictors of poor sleep (P < .05). The model accounted for 43% of the variance in PSQI and primarily by depressive symptoms explaining 9% of reported sleep quality variability. Anxiety symptoms, sport category, and history of migraines were not significant predictors of poor sleep quality. CONCLUSIONS: A high incidence of poor sleep among collegiate athletes was observed regardless of sport, and may be related to depressive symptoms, somatic complaints, Caucasian race, male sex, and historical number of concussions.
OBJECTIVE: Ongoing exploration of factors related to poor sleep in collegiate athletes is important as understanding of the risks and consequences of poor sleep in this specific population increases. DESIGN: Retrospective cohort study. SETTING: University in the Pacific Northwest. PARTICIPANTS: One-hundred thirty-seven male and female collegiate athletes across 5 collision, contact, and limited contact team sports. MEASUREMENTS: Depressive symptoms (Patient Health Questionnaire 9; PHQ-9), anxiety symptoms (General Anxiety Disorder 7; GAD-7), and somatic complaints (Patient Health Questionnaire 15; PHQ-15). Sleep quality (Pittsburgh Sleep Quality Index; PSQI) used both a cutoff score ≥6 and a cutoff score of ≥8, indicating "poor sleep quality" to reduce threats to divergent validity. RESULTS: Poor sleep quality as defined by PSQI ≥ 6 was present in 53% of athletes, and as defined by PSQI ≥ 8 was identified in 33.5% of the cohort. There were no differences in the incidence of poor sleepers between sport, race/ethnicity, or sex. Multiple regression analysis revealed that depressive symptoms, somatic complaints, Caucasian race, male sex, and number of concussions were significant predictors of poor sleep (P < .05). The model accounted for 43% of the variance in PSQI and primarily by depressive symptoms explaining 9% of reported sleep quality variability. Anxiety symptoms, sport category, and history of migraines were not significant predictors of poor sleep quality. CONCLUSIONS: A high incidence of poor sleep among collegiate athletes was observed regardless of sport, and may be related to depressive symptoms, somatic complaints, Caucasian race, male sex, and historical number of concussions.
Authors: Adam C Raikes; Amy Athey; Pamela Alfonso-Miller; William D S Killgore; Michael A Grandner Journal: Sleep Med Date: 2019-03-25 Impact factor: 3.492
Authors: Claudia L Reardon; Brian Hainline; Cindy Miller Aron; David Baron; Antonia L Baum; Abhinav Bindra; Richard Budgett; Niccolo Campriani; João Mauricio Castaldelli-Maia; Alan Currie; Jeffrey Lee Derevensky; Ira D Glick; Paul Gorczynski; Vincent Gouttebarge; Michael A Grandner; Doug Hyun Han; David McDuff; Margo Mountjoy; Aslihan Polat; Rosemary Purcell; Margot Putukian; Simon Rice; Allen Sills; Todd Stull; Leslie Swartz; Li Jing Zhu; Lars Engebretsen Journal: Br J Sports Med Date: 2019-06 Impact factor: 13.800
Authors: Robert W Turner; Kalpana Vissa; Christine Hall; Kristi Poling; Amy Athey; Pamela Alfonso-Miller; Jo-Ann Gehrels; Michael A Grandner Journal: J Am Coll Health Date: 2019-09-09
Authors: William T Tsushima; Andrea M Siu; Hyeong Jun Ahn; Bolin L Chang; Nathan M Murata Journal: Arch Clin Neuropsychol Date: 2019-02-01 Impact factor: 2.813