Athletic retirement: factors contributing to sleep and mental health problems.

Introduction: The aim of this investigation was to determine which factors were associated with symptoms of sleep and mental health disorders in former athletes. Methods: Former athletes (N = 173, 50% women) who retired from any competition level within the last 20 years participated in an online survey. The survey consisted of the Athlete Sleep Screening Questionnaire (ASSQ), Personal Wellbeing Index-Adult (PWI-A), Center for Epidemiologic Studies Depression Scale-Revised (CESD-R), and Generalised Anxiety Disorder Assessment (GAD-7). Results: Binary logistic regressions revealed that both age (OR = 0.95 [95% CI:0.92, 0.99], p = 0.007) and gender (OR = 2.28 [95% CI:1.09, 4.79], p = 0.029) were associated with anxiety, with women and younger ex-athletes presenting greater risk of anxiety symptoms. Higher body mass was associated with an increased risk for sleep difficulty (OR = 1.13 [95% CI:1.03, 1.23], p = 0.008), sleep disordered breathing (OR = 1.20 [95% CI:1.10, 1.30], p < 0.001), and compromised wellbeing (OR = 0.89 [95% CI:0.83, 0.96], p = 0.001). Athletes who subjectively placed a lower priority on sport while competing presented greater risk of sleep disordered breathing (OR = 2.00[95% CI:1.05, 3.80], p = 0.035). No associations between recency retirement and any outcome measures were observed. Discussion: Findings suggest potential predictive factors for difficulty transitioning out of sport. Future longitudinal research should consider the interplay between sport re-engagement and the incidence and chronicity of sleep and mental health disorders.

Facilitators and constraints to adult sports participation: A systematic review.

Despite the well-documented health, social and economic benefits of sports participation, adults' participation in organised sport declines as age increases. To date, no review has summarised the multi-level factors that influence adults' decisions to participate in sport. Therefore, this systematic literature review aimed to: 1) determine the facilitators, constraints and negotiated constraints to adults' (25-64 years) sport participation, and 2) summarise these factors according to the multiple levels of the social-ecological model. A total of 91 articles were identified following an extensive literature search conducted according to the PRISMA guidelines. Studies were published over four decades (1983-2023), predominantly located in North America (n = 45; 49.5%), ranged from 5 to 10,646 participants, examined mainly middle-aged adults (Mrange = 35-44 years; n = 52; 48.6%), included more males (61.6%) than females (38.1%), and were conducted in primarily single sport contexts (n = 63; 69.2%). Overall, more unique facilitators (55 items) were identified than constraints (35 items) and negotiated constraints (13 items). The desire for improved health and enjoyment were the most frequently reported facilitators, and the main constraints were injury or illness and family commitments. Constraint negotiation strategies largely included individual (e.g., implementing financial strategies) and interpersonal factors (e.g., encouraging others to participate). This review highlighted the expansive multi-level factors that influence adults' sports participation, reiterated the complexity of developing appropriate sport offerings, and identified a lack of studies examining non-sport participants. Strategies to support adult sport participation should focus on enjoyment, consider co-designed sport modifications to alleviate perceived constraints and integrate behaviour change theory to foster positive sport participation habits.

The Negative Effects of Travel on Student Athletes Through Sleep and Circadian Disruption.

Collegiate athletes must satisfy the academic obligations common to all undergraduates, but they have the additional structural and social stressors of extensive practice time, competition schedules, and frequent travel away from their home campus. Clearly such stressors can have negative impacts on both their academic and athletic performances as well as on their health. These concerns are made more acute by recent proposals and decisions to reorganize major collegiate athletic conferences. These rearrangements will require more multi-day travel that interferes with the academic work and personal schedules of athletes. Of particular concern is additional east-west travel that results in circadian rhythm disruptions commonly called jet lag that contribute to the loss of amount as well as quality of sleep. Circadian misalignment and sleep deprivation and/or sleep disturbances have profound effects on physical and mental health and performance. We, as concerned scientists and physicians with relevant expertise, developed this white paper to raise awareness of these challenges to the wellbeing of our student-athletes and their co-travelers. We also offer practical steps to mitigate the negative consequences of collegiate travel schedules. We discuss the importance of bedtime protocols, the availability of early afternoon naps, and adherence to scheduled lighting exposure protocols before, during, and after travel, with support from wearables and apps. We call upon departments of athletics to engage with sleep and circadian experts to advise and help design tailored implementation of these mitigating practices that could contribute to the current and long-term health and wellbeing of their students and their staff members.

Genome Annotation for Pinkcreek, a C1 Subcluster Mycobacteriophage from New Orleans, Louisiana.

The mycobacteriophage Pinkcreek (C1 subcluster) was extracted from soil collected on the Dr. Norman C. Francis Parkway Bike Trail in New Orleans, Louisiana. It is a member of the family Myoviridae and infects Mycobacterium smegmatis mc2155. The Pinkcreek genome is 153,184 bp and contains 216 predicted protein-coding genes, 29 tRNAs, and 1 transfer-messenger RNA.

Sleep and Mental Health Issues in Current and Former Athletes: A Mini Review.

Sleep and mental health are important aspects of human health that work concurrently. However, sleep and mental health disorders are often overlooked and undiagnosed in sport due to the negative stigma associated with them. Evidence suggests that athletes are disproportionately affected by mental health issues and sleep problems. Internal and external pressures contribute to psychological distress. Variable competition times, travel and stress are detrimental to sleep quality. Retirement from sport can deteriorate sleep and psychological wellbeing, particularly for those who retired involuntarily and identify strongly with their athletic role. When untreated, these issues can manifest into a range of clinical disorders. This is concerning, not only for compromised athletic performance, but for general health and wellbeing beyond sport. Previous research has focussed on sleep and health independently among currently competing, or former, athletes. To date, no research has comprehensively assessed and compared sleep complaints and mental health issues between these two cohorts. Moreover, research has failed to obtain data across a variety of different competition levels, sports, and genders, leaving the current scope of the literature narrow. Comorbid conditions (e.g., concussion history, obesity), ex-college athletes, and mental health has been the focus of existing literature post-retirement. Future research would benefit from employing both quantitative and qualitative methodologies to comprehensively assess the prevalence and severity of sleep and mental health disorders across current and retired athletes. Research outcomes would inform education strategies, safeguarding athletes from these issues by reducing negative stigmas associated with help-seeking in sport and ultimately increase self-guided treatment.

The Sleep Behaviors of Elite Australian Rules Footballers Before and After Games During an Entire Season.

PURPOSE: Most athletes sleep poorly around competition. The aim of this study was to examine sleep before/after games during an entire season in elite Australian Rules footballers (N = 37) from the same team. METHODS: Sleep was monitored using activity monitors for 4 consecutive nights (beginning 2 nights before games) during 19 rounds of a season. Differences in sleep on the nights before/after games, and differences in sleep before/after games as a function of game time (day vs evening), location (local vs interstate), and outcome (win vs loss), were examined using linear mixed effects models. RESULTS: Players fell asleep earlier (+1.9 h; P < .001), and woke up later (+1 h; P < .001) on the night before games compared with the night of games. Players obtained less sleep on the night of games than on the night before games (5.2 h vs 7.7 h; P < .001), and this reduction was exacerbated when games were played in the evening-after evening games, players obtained approximately 40 minutes less sleep than after day games (P < .001). Sleep duration on the nights before and after games was not affected by game location or game outcome, but players had later sleep onset (P < .001) and offset times (P < .001) on most nights when sleeping away from home. CONCLUSIONS: Elite footballers obtain good sleep on the night before games but obtain approximately 30% less sleep on the night of games. Given the role of sleep in recovery, it will be important to determine whether a reduction in sleep duration of this magnitude impairs recovery on the days following games.

Consecutive Nights of Moderate Sleep Loss Does Not Affect Mood in Healthy Young Males.

Sleep loss causes mood disturbance in non-clinical populations under severe conditions, i.e., two days/nights of sleep deprivation or a week of sleep restriction with 4-5 h in bed each night. However, the effects of more-common types of sleep loss on mood disturbance are not yet known. Therefore, the aim of this study was to examine mood disturbance in healthy adults over a week with nightly time in bed controlled at 5, 6, 7, 8 or 9 h. Participants (n = 115) spent nine nights in the laboratory and were given either 5, 6, 7, 8 or 9 h in bed over seven consecutive nights. Mood was assessed daily using the Profile of Mood States (POMS-2). Mixed-linear effects models examined the effect of time in bed on total mood disturbance and subscales of anger-hostility, confusion-bewilderment, depression-dejection, fatigue-inertia, tension-anxiety, vigour-activity and friendliness. There was no effect of time in bed on total mood disturbance (F(4, 110.42) = 1.31, p = 0.271) or any of the subscales except fatigue-inertia. Fatigue-inertia was higher in the 5 h compared with the 9 h time in bed condition (p = 0.012, d = 0.75). Consecutive nights of moderate sleep loss (i.e., 5-7 h) does not affect mood but does increase fatigue in healthy males.