Sleep Deprived or Concussed? The Acute Impact of Self-Reported Insufficient Sleep in College Athletes

2020 ◽  
pp. 1-12 ◽  
Author(s):  
Kaitlin E. Riegler ◽  
Erin T. Guty ◽  
Garrett A. Thomas ◽  
Peter A. Arnett
Keyword(s):  
Neuropsychological Test ◽  
Collegiate Athletes ◽  
Symptom Scale ◽  
Insufficient Sleep ◽  
Sample Mean ◽  
Objective Performance ◽  
Valid Comparison ◽  
The Relationship ◽  
Negative Health Outcomes ◽  
Sleep Difficulties

Abstract Objective: Sleep deprivation is common among both college students and athletes and has been correlated with negative health outcomes, including worse cognition. As such, the current study sought to examine the relationship between sleep difficulties and self-reported symptoms and objective neuropsychological performance at baseline and post-concussion in collegiate athletes. Method: Seven hundred seventy-two collegiate athletes completed a comprehensive neuropsychological test battery at baseline and/or post-concussion. Athletes were separated into two groups based on the amount of sleep the night prior to testing. The sleep duration cutoffs for these group were empirically determined by sample mean and standard deviation (M = 7.07, SD = 1.29). Results: Compared with athletes getting sufficient sleep, those getting insufficient sleep the night prior to baseline reported significantly more overall symptoms and more symptoms from each of the five symptom clusters of the Post-Concussion Symptom Scale. However, there were no significant differences on objective performance indices. Secondly, there were no significant differences on any of the outcome measures, except for sleep symptoms and headache, between athletes getting insufficient sleep at baseline and those getting sufficient sleep post-concussion. Conclusion: Overall, the effect of insufficient sleep at baseline can make an athlete appear similar to a concussed athlete with sufficient sleep. As such, athletes completing a baseline assessment following insufficient sleep could be underperforming cognitively and reporting elevated symptoms that would skew post-concussion comparisons. Therefore, there may need to be consideration of prior night’s sleep when determining whether a baseline can be used as a valid comparison.

Apolipoprotein E (APOE) ϵ4 Allele Is Associated with Increased Symptom Reporting Following Sports Concussion

2015 ◽  
Vol 22 (1) ◽  
pp. 89-94 ◽  
Author(s):  
Victoria C. Merritt ◽  
Peter A. Arnett
Keyword(s):  
Apolipoprotein E ◽  
Symptom Score ◽  
Neuropsychological Testing ◽  
Apoe Genotype ◽  
Collegiate Athletes ◽  
Symptom Clusters ◽  
Total Symptom Score ◽  
Symptom Scale ◽  
Sports Concussion ◽  
The Relationship

AbstractExploring the relationship between genetic factors and outcome following brain injury has received increased attention in recent years. However, few studies have evaluated the influence of genes on specific sequelae of concussion. The purpose of this study was to determine how the ϵ4 allele of the apolipoprotein E (APOE) gene influences symptom expression following sports-related concussion. Participants included 42 collegiate athletes who underwent neuropsychological testing, including completion of the Post-Concussion Symptom Scale (PCSS), within 3 months after sustaining a concussion (73.8% were evaluated within 1 week). Athletes provided buccal samples that were analyzed to determine the make-up of their APOE genotype. Dependent variables included a total symptom score and four symptom clusters derived from the PCSS. Mann-Whitney U tests showed higher scores reported by athletes with the ϵ4 allele compared to those without it on the total symptom score and the physical and cognitive symptom clusters. Furthermore, logistic regression showed that the ϵ4 allele independently predicted those athletes who reported physical and cognitive symptoms following concussion. These findings illustrate that ϵ4+ athletes report greater symptomatology post-concussion than ϵ4- athletes, suggesting that the ϵ4 genotype may confer risk for poorer post-concussion outcome. (JINS, 2016, 22, 89–94)

scholarly journals The Perceived Deficits Questionnaire

2016 ◽  
Vol 18 (4) ◽  
pp. 183-190 ◽  
Author(s):  
Lauren B. Strober ◽  
Allison Binder ◽  
Olga M. Nikelshpur ◽  
Nancy Chiaravalloti ◽  
John DeLuca
Keyword(s):  
Cognitive Impairment ◽  
Self Efficacy ◽  
Neuropsychological Test ◽  
Self Report ◽  
Cognitive Measures ◽  
Cognitive Difficulties ◽  
Objective Performance ◽  
The Impact ◽  
The Relationship

Background: Cognitive dysfunction affects approximately 43% to 70% of individuals with multiple sclerosis (MS) and is an important determinant of several functional outcomes in MS and quality of life. Brief neuropsychological test batteries have been developed specifically for use in MS and are widely used to aid clinicians in assessing levels of cognitive impairment in MS. Neuropsychologists and neurologists also frequently use briefer screening measures, such as the Perceived Deficits Questionnaire (PDQ), to assist in determining whether a more extensive neuropsychological evaluation is warranted. However, despite the ease of such measures, the relationship between self-report and objective cognitive impairment has been inconsistent, at best. Moreover, factors such as depression, fatigue, anxiety, and personality have been found to be more related to reports of cognitive difficulties. The purpose of the present study was to clarify the relationship between subjective cognitive concerns and objective cognitive impairment while accounting for related symptoms. Methods: We examined the association of self-reported cognitive concerns on the PDQ with objective cognitive measures, as well as depression, anxiety, fatigue, and self-efficacy. Results: There was no relationship between self-reported cognitive concerns and objective performance. Rather, reports on the PDQ were more correlated with reports of depression, anxiety, fatigue, and self-efficacy. Conclusions: Depression and poor self-efficacy can contribute to reports of cognitive difficulties. Effective treatment to improve these factors seems warranted given the impact of perceived cognitive impairment on outcomes in MS and the potential for more accurate self-reports.

scholarly journals 694 Insufficient sleep linked with higher COVID-19 infection cases and deaths in the United States

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A271-A271
Author(s):  
Azizi Seixas ◽  
Nicholas Pantaleo ◽  
Samrachana Adhikari ◽  
Michael Grandner ◽  
Giardin Jean-Louis
Keyword(s):  
Regression Models ◽  
Negative Binomial ◽  
The United States ◽  
Poor Sleep ◽  
County Level ◽  
Infection Rates ◽  
Insufficient Sleep ◽  
Death Rates ◽  
Rural Counties ◽  
The Relationship

Abstract Introduction Causes of COVID-19 burden in urban, suburban, and rural counties are unclear, as early studies provide mixed results implicating high prevalence of pre-existing health risks and chronic diseases. However, poor sleep health that has been linked to infection-based pandemics may provide additional insight for place-based burden. To address this gap, we investigated the relationship between habitual insufficient sleep (sleep <7 hrs./24 hr. period) and COVID-19 cases and deaths across urban, suburban, and rural counties in the US. Methods County-level variables were obtained from the 2014–2018 American community survey five-year estimates and the Center for Disease Control and Prevention. These included percent with insufficient sleep, percent uninsured, percent obese, and social vulnerability index. County level COVID-19 infection and death data through September 12, 2020 were obtained from USA Facts. Cumulative COVID-19 infections and deaths for urban (n=68), suburban (n=740), and rural (n=2331) counties were modeled using separate negative binomial mixed effects regression models with logarithmic link and random state-level intercepts. Zero-inflated models were considered for deaths among suburban and rural counties to account for excess zeros. Results Multivariate regression models indicated positive associations between cumulative COVID-19 infection rates and insufficient sleep in urban, suburban and rural counties. The incidence rate ratio (IRR) for urban counties was 1.03 (95% CI: 1.01 – 1.05), 1.04 (95% CI: 1.02 – 1.05) for suburban, and 1.02 (95% CI: 1.00 – 1.03) rural counties.. Similar positive associations were observed with county-level COVID-19 death rates, IRR = 1.11 (95% CI: 1.07 – 1.16) for urban counties, IRR = 1.04 (95% CI: 1.01 – 1.06) for suburban counties, and IRR = 1.03 (95% CI: 1.01 – 1.05) for rural counties. Level of urbanicity moderated the association between insufficient sleep and COVID deaths, but not for the association between insufficient sleep and COVID infection rates. Conclusion Insufficient sleep was associated with COVID-19 infection cases and mortality rates in urban, suburban and rural counties. Level of urbanicity only moderated the relationship between insufficient sleep and COVID death rates. Future studies should investigate individual-level analysis to understand the role of sleep mitigating COVID-19 infection and death rates. Support (if any) NIH (K07AG052685, R01MD007716, R01HL142066, K01HL135452, R01HL152453

scholarly journals Prevalence of Sarcopenic Obesity Using Different Definitions and the Relationship With Strength and Physical Performance in the Canadian Longitudinal Study of Aging

2021 ◽  
Vol 11 ◽  
Author(s):  
Sarah A. Purcell ◽  
Michelle Mackenzie ◽  
Thiago G. Barbosa-Silva ◽  
Isabelle J. Dionne ◽  
Sunita Ghosh ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Physical Performance ◽  
Gait Speed ◽  
Walking Speed ◽  
Handgrip Strength ◽  
Sarcopenic Obesity ◽  
Cross Sectional ◽  
X Ray ◽  
The Relationship ◽  
Negative Health Outcomes

Sarcopenic obesity is associated with several negative health outcomes. However, the prevalence of this condition – and the relationship to physical performance parameters – varies across definitions. The aim of this cross-sectional investigation was to describe the prevalence of sarcopenic obesity using different published definitions and their relationship with handgrip strength and walking speed in older Canadian adults. Individuals aged 65+ in the Canadian Longitudinal Study on Aging (n = 11,803; 49.6% male, 50.4% female) were included. Body composition was measured using dual X-ray absorptiometry. Sarcopenic obesity was defined using 29 definitions. Low handgrip strength was identified as < 27 kg in males and < 16 kg in females and poor physical performance was defined as gait speed ≤ 0.8 m/s. The prevalence of sarcopenic obesity ranged from 0.1 to 85.3% in males, and from 0 to 80.4% in females. Sarcopenic obesity was frequently associated with low handgrip strength (p < 0.05) in both males (14/17 definitions, 82.4%) and females (21/29 definitions, 72.4%). In very few definitions, sarcopenic obesity was associated with slow gait speed (males: 1/17 definitions [6.7%]; females: 2/29 [6.9%]). In conclusion, the prevalence of sarcopenic obesity varied greatly according to definitions and sarcopenic obesity was frequently associated with low handgrip strength.

scholarly journals The Relationship Between Body Composition And Y-balance Testing In D2 Collegiate Athletes

2021 ◽  
Vol 53 (8S) ◽  
pp. 171-171
Author(s):  
Sean Bonilla ◽  
Kara Zorzoli ◽  
Matthew Jackson ◽  
Nicole C. Dabbs
Keyword(s):  
Body Composition ◽  
Collegiate Athletes ◽  
Balance Testing ◽  
The Relationship
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