Mental Health in Student Athletes: Associations With Sleep Duration, Sleep Quality, Insomnia, Fatigue, and Sleep Apnea Symptoms.

Purpose: To quantify the relationship between sleep difficulties and poor mental health among student athletes using validated measures. Methods: Data were collected from 190 National Collegiate Athletic Association Division I student athletes. Sleep assessments included measures of sleep duration, sleep quality, insomnia, fatigue, and sleep apnea symptoms. Mental well-being was assessed as depression, anxiety, mental health days, stress, and social support from family, friends, significant other, and teammates. Results: Shorter sleep duration, poor sleep quality, insomnia, and fatigue were consistently and independently associated with stress, depression, anxiety, mental health days, and social support. Sleep apnea symptoms were associated with stress, depression, and social support. Conclusions: Short sleep duration, poor sleep quality, and daytime fatigue in student athletes are all associated with depression, anxiety, stress, poor mental health days, and decreased social support. These associations are not accounted for solely by stress.

Sleep problems are associated with academic performance in a national sample of collegiate athletes.

OBJECTIVE: Examine associations between a range of sleep problems and academic performance in a national sample of collegiate athletes. Participants: Data were obtained from the National College Health Assessment of US college/university students from 2011-2014 (N = 8,312 collegiate athletes). Methods: Univariate comparisons for all sleep variables and demographics were stratified across GPA, using one-way ANOVA for continuous variables and chi-square for categorical variables. Multinomial logistic regression models, with GPA as outcome (reference = A) and sleep variable as predictor, were examined and adjusted for age, sex, and survey year. Ordinal regression examined a 1-level change in GPA associated with each sleep variable, adjusted for covariates. Results: Sleep difficulty was associated with increased likelihood of B/C averages. Initial-insomnia was associated with increased likelihood of B/C, and D/F averages. Tiredness was associated with increased likelihood of B/C, and D/F averages. Conclusions: Sleep problems are highly prevalent and associated with poorer academic performance in collegiate athletes.

Smoke at night and sleep worse? The associations between cigarette smoking with insomnia severity and sleep duration.

OBJECTIVE: Insomnia is a clinically verified nicotine withdrawal symptom. As nicotine is a stimulant, it is plausible that smoking at night could disturb sleep more than smoking at earlier times of the day, but this remains empirically unclear. This study examined smoking status and its associations with insomnia severity and sleep duration while considering the potential role of smoking time. METHODS: Data were derived from the Sleep and Healthy Activity Diet Environment and Socialization study, a community-based study of 1007 adults (nnonsmokers = 818; nsmokers = 189) aged 22-60 from the Philadelphia area. Smoking status and time of smoking were self-reported. Insomnia was assessed with the Insomnia Severity Index and categorized as none, mild, and moderate-to-severe. Sleep duration was assessed with one item from the National Health and Nutrition Examination Survey and categorized as very short, short, normal, and long. Ordinal and multinomial logistic regressions were used to determine the association of smoking status including smoking time with insomnia severity and sleep duration controlling for sociodemographic covariates. RESULTS: Compared to nonsmoking, smoking was associated with experiencing increased insomnia (odds ratio = 2.5, 95% confidence interval [CI] 1.9, 3.4, P < .001) as well as very short (relative risk ratio = 1.9, 95% CI 1.1, 3.3) and short (relative risk ratio = 1.5, 95% CI 1.0, 2.3) sleep (vs normal sleep duration). Night-time smoking was significantly associated with greater insomnia and shorter sleep duration. CONCLUSIONS: Findings provide evidence that smoking is associated with increased insomnia severity and shorter sleep duration, particularly nightly smoking. Sleep health should be considered in smoking cessation efforts.

Onset insomnia and insufficient sleep duration are associated with suicide ideation in university students and athletes.

BACKGROUND: Previous work has shown that poor sleep is a prospective risk factor for suicide in clinical populations and might contribute to risk in the general population. The present study evaluated whether sleep distress, onset insomnia, and insufficient sleep are associated with suicide ideation in university students and athletes participating in the 2011-2014 National College Health Assessment (NCHA; n = 113,185). METHODS: In the NCHA survey, students self-reported the presence or absence of suicide ideation within the past 12 months. SLEEP DISTRESS was assessed with an item indicating that "sleep difficulties" were "particularly traumatic or difficult to handle." ONSET INSOMNIA was assessed as at least 3 nights per week where survey participants reported an "extremely hard time falling asleep." INSUFFICIENT SLEEP was operationalized as the number of days per week where the participants felt they did not get "enough sleep to feel rested." All variables were yes/no except INSUFFICIENT SLEEP, which was categorized as 0-1 (reference), 2-3, 4-5, or 6-7 nights. Binary logistic regression analyses examined suicide ideation as the outcome and sleep variable as a predictor, adjusted for age, sex, year in school, recent depressed mood, and survey year. Associations within student-athletes were likewise assessed. RESULTS: 7.4% of students reported suicide ideation within the past 12 months. In adjusted models, this was significantly associated with SLEEP DISTRESS (OR = 3.01, 95% CI [2.86, 3.16], p < 0.0001), ONSET INSOMNIA (OR = 1.95, 95% CI [1.86, 2.04], p < 0.0001), as well as INSUFFICIENT SLEEP (4-5 nights, OR = 1.41, 95% CI [1.28, 1.56], p < 0.0001; 6-7 nights, OR = 1.92, 95% CI [1.74, 2.13], p < 0.0001). Although suicide ideation was less common among athletes, ORs were similar for athletes for all sleep variables of interest. CONCLUSION: Sleep distress, onset insomnia, and insufficient sleep were all strongly related to suicide ideation among university students. These relationships were the same among collegiate athletes, even though this group reported less overall suicide ideation. Our findings suggest that university students may benefit from educational materials linking sleep disruption to maladaptive thinking and suicide ideation.

Quantifying impact of real-world barriers to sleep: The Brief Index of Sleep Control (BRISC).

OBJECTIVE: Lack of control over sleep may contribute to population-level sleep disturbances, yet relatively little work has explored the degree to which an individual's sense of control over their sleep may represent an important factor. METHODS: Data from the Sleep and Healthy Activity Diet Environment and Socialization (SHADES) study, conducted in the Philadelphia area on a population comprising 1,007 individuals aged 22-60 years, was used. The BRief Index of Sleep Control (BRISC) was developed to quantify the degree to which an individual has control over their sleep. Reliability of the BRISC was assessed using Cronbach's alpha. Convergent validity was assessed by examining age-adjusted items and total score relationships to insomnia (ISI), sleepiness (ESS), sleep quality (PSQI), and total sleep time (NHANES). RESULTS: After adjustment for covariates, greater control over sleep was associated with a lower PSQI score (B = -2.2, 95% CI [-2.4,-2.0], P < .0001), lower ISI score (B = -3.1, 95% CI [-3.5,-2.7], P < .0001), lower ESS score (B=-1.4, 95% CI [-1.7,-1.1], P < .0001), and more hours of sleep duration (B = 0.5, 95% CI [0.4,0.6], P < .0001). Each BRISC item was separately associated with each sleep outcome (P < .0001), although the items were not collinear with each other (all R<0.7). Thus, the BRISC instrument demonstrated high reliability and good validity. CONCLUSIONS: Control over sleep may represent an important factor in sleep health. Control over time to bed, time awake, sleep duration, and sleep quality are all related to sleep outcomes and assessment of these constructs may be useful for future sleep interventions.

Relationship between insomnia and depression in a community sample depends on habitual sleep duration.

Sleep disturbances, such as short sleep duration and insomnia, are core features of depression. However, it is unclear if sleep duration and insomnia have an interactive effect on depression severity or individual symptoms. Data were drawn from a community sample (N = 1007) containing responses on the Insomnia Severity Index, Patient Health Questionnaire-9 (PHQ-9), and average sleep duration. Regression analyses determined the prevalence risks (PR) of symptoms of depression based on insomnia severity and sleep duration. Depression severity was related to insomnia severity (PR 1.09, p < 0.001) and short sleep duration (PR 1.52, p < 0.001), but the interaction between the two was negative (PR 0.97, p < 0.001). Insomnia severity increased the prevalence risk of all individual depression symptoms between 8 and 15%, while sleep duration increased the prevalence risk of appetite dysregulation (PR 1.86, p < 0.001), fatigue (PR 1.51, p < 0.001), difficulty concentrating (PR 1.61, p = 0.003), feelings of failure (PR 1.58, p = 0.002), and suicidal behavior (PR 2.54, p = 0.01). The interaction of sleep duration and insomnia was negative and ranged between 3 and 6%. In clinically significant depression (PHQ >=10), only insomnia severity increased the prevalence risk of depression severity (PR 1.02, p = 0.001). Insomnia and short sleep predict prevalent depression, but their interactive effect was negative. Thus, while insomnia had a greater association with depression severity and symptoms, this association was dependent on habitual sleep duration.

The relationship of cognitive retraining to neurological patients' driving status: the role of process variables and compensation training.

PRIMARY OBJECTIVE: To explore the relationship of cognitive retraining performance to discharge driving status. METHODS AND PROCEDURES: One hundred and three brain-injured patients from a holistic milieu-oriented work/school re-entry programme. EXPERIMENTAL INTERVENTIONS: Initial, last, mean, and best cognitive retraining scores; Behavioural Checklist ratings; Working Alliance (WA) scores. MAIN OUTCOMES AND RESULTS: At the time of discharge, 50.5% of the sample were cleared to drive. Better performance on a cognitive retraining task addressing information processing and motor speed, focused attention, visual scanning and memory was associated with clearance to drive. Patients' behavioural approach to cognitive retraining tasks (use of compensations, organizational and procedural skills) and higher mean and discharge WA scores with staff were associated with driving clearance. Higher mean WA scores were also related to an enhanced behavioural approach to cognitive retraining tasks, including timeliness to sessions, compensation use, better communication pragmatics, decreased distractibility and the ability to apply the 'big picture' benefits of cognitive retraining to the 'real world'. CONCLUSIONS: Cognitive retraining exercises that incorporate skill remediation, 'process' variables and metacognitive skills, as well as a better WA with patients, positively related to clearance to drive at the time of discharge from a holistic milieu-oriented programme.

The relationship of cognitive retraining to neurological patients' work and school status.

PRIMARY OBJECTIVE: To explore the relationship of cognitive retraining performance to discharge productivity status. METHODS AND PROCEDURES: One hundred and one brain-injured patients from a holistic milieu-oriented work/school re-entry programme. EXPERIMENTAL INTERVENTIONS: Initial, last, mean and best cognitive retraining scores; cognitive retraining behavioural checklist ratings; and working alliance scores. MAIN OUTCOMES AND RESULTS: Most (82.2%) of the sample returned to paid work or school. Better performance on two cognitive retraining tasks addressing information processing speed, visual scanning, visuospatial skills and memory were associated with return to the same level of work/school with and without modifications. Selected process variables related to the patients' behavioural approach to cognitive retraining tasks (e.g. their use of compensations, organizational and abstraction skills, procedural skills and unassisted task recall) were associated with better work/school outcomes. Patients' positive working alliance ratings related to their behavioural approach to cognitive retraining tasks. This highlights the importance of combining interventions targeting both the therapeutic interactive process and skill remediation to maximize work/school reintegration. CONCLUSIONS: Cognitive Retraining exercises that incorporate both process variables and metacognitive skills, as well as a better working alliance with patients, positively related to return to work and school at the time of discharge from a holistic milieu-oriented programme.

Psychosocial outcomes 1-7 years after comprehensive milieu-oriented neurorehabilitation: the role of pre-injury status.

PRIMARY OBJECTIVE: To explore pre-injury variables related to post-discharge psychosocial status and identify factors related to work and driving outcomes. METHODS AND PROCEDURES: Ninety-three brain-injured patients attended a holistic milieu-oriented neurorehabilitation program and were contacted 1-7 years post-discharge. EXPERIMENTAL INTERVENTIONS: Questionnaire data addressing pre-injury and post-injury work, driving, income, marital status and living situation. MAIN OUTCOMES AND RESULTS: 74.3% were involved in competitive work and/or school with 86.0% productive at follow-up. Post-injury income decreased significantly compared with pre-injury levels. Pre-injury relationship status did not differ significantly from post-injury; 81.1% remaining in a stable relationship or married at follow-up. Pre-injury and post-injury accident rates were related; 73.1% drove at follow-up. Higher education, non-right hemispheric injury, shorter treatment length and return to work related to driving. Younger age, higher education, non-right hemispheric injury and driving post-injury related to positive work status. CONCLUSIONS: Pre-injury psychosocial data provide an important context for understanding post-discharge outcome after brain injury. Holistic milieu-oriented rehabilitation facilitates long-term successful work, driving and relationship stability.

Dental X-rays and the risk of intracranial meningioma: a population-based case-control study.

BACKGROUND: Ionizing radiation is a likely cause of intracranial meningioma. The authors determined whether the risk of intracranial meningioma was associated with past dental X-rays-specifically, posterior bitewings, full-mouth series, and lateral cephalometric and panoramic radiographs. METHODS: The authors conducted a population-based case-control study of residents of King, Pierce, and Snohomish counties in western Washington State. Case patients (n = 200) had an incident intracranial meningioma that was confirmed histologically during life between January 1995 and June 1998. The authors used random-digit dialing and Medicare eligibility lists to identify two control subjects to be matched to each case patient based on age and gender. Exposures were determined during an in-person interview. The authors compared self-report and dental records in a subset of study participants. RESULTS: Of the 4 dental X-ray procedures evaluated, only the full-mouth series (specifically, > or = 6 over a lifetime) was associated with a significantly increased risk of meningioma (odds ratio, 2.06; 95% confidence limits, 1.03-4.17). However, evidence for a dose-response relation was lacking (P for trend = 0.33). The risk was elevated with the aggregate number of full-mouth series in 10-year periods from approximately 15-40 years before diagnosis, with significant elevations in the 10-year periods beginning 22-30 years before diagnosis. The risks in these analyses were even greater when only women were considered. CONCLUSIONS: Dental X-rays involving full-mouth series performed 15-40 years ago, when radiation exposure from full-mouth series was much greater than it is now, were associated with an increased risk of meningioma. The authors did not observe an increased risk with bitewings, lateral cephalometric, and panoramic radiographs.