The Relationship between ADHD and Concussion History on Neuropsychological Test Scores in Collegiate Athletes

2010 ◽  
Vol 42 ◽  
pp. 114 ◽  
Author(s):  
Tamerah N. Hunt ◽  
Kendra McCamey ◽  
Angela Beisner
Keyword(s):  
Test Scores ◽  
Neuropsychological Test ◽  
Collegiate Athletes ◽  
Concussion History ◽  
The Relationship

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.

The Relationship of Compliance with Coping Strategies and Self-Esteem

2003 ◽  
Vol 19 (2) ◽  
pp. 117-123 ◽  
Author(s):  
Gisli H. Gudjonsson ◽  
Jon Fridrik Sigurdsson
Keyword(s):  
Sex Differences ◽  
Coping Strategies ◽  
Multiple Regression ◽  
Sex Difference ◽  
Test Scores ◽  
Self Esteem ◽  
Stressful Situation ◽  
Men And Women ◽  
Relationship Of ◽  
The Relationship

Summary: The Gudjonsson Compliance Scale (GCS), the COPE Scale, and the Rosenberg Self-Esteem Scale were administered to 212 men and 212 women. Multiple regression of the test scores showed that low self-esteem and denial coping were the best predictors of compliance in both men and women. Significant sex differences emerged on all three scales, with women having lower self-esteem than men, being more compliant, and using different coping strategies when confronted with a stressful situation. The sex difference in compliance was mediated by differences in self-esteem between men and women.

scholarly journals Local Labor Markets and Child Learning Outcomes in India

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Magda Tsaneva ◽  
Uttara Balakrishnan
Keyword(s):  
Labor Market ◽  
Test Scores ◽  
School Quality ◽  
Labor Demand ◽  
District Level ◽  
Education Spending ◽  
Education Outcomes ◽  
Market Opportunities ◽  
Primary School Age ◽  
The Relationship

Abstract This paper uses data from rural India to study the relationship between local labor market opportunities and child education outcomes. We construct a Bartik index as a measure of exogenous changes in district-level labor demand and find that an increase in predicted overall employment growth is associated with higher years of education and better test scores for both boys and girls of primary school age. The effects on test scores of older boys are smaller and less statistically significant. Older girls, however, do benefit from better labor market opportunities. We do not find evidence for changes in school quality or district-level investment. Instead, we find support for increases in household education spending, possibly because of overall higher wages, or re-allocation of resources.

scholarly journals Digital Technology Differentiates Graphomotor and Information Processing Speed Patterns of Behavior

2021 ◽  
Vol 82 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Stacy L. Andersen ◽  
Benjamin Sweigart ◽  
Nancy W. Glynn ◽  
Mary K. Wojczynski ◽  
Bharat Thyagarajan ◽  
...  
Keyword(s):  
Information Processing ◽  
Physical Function ◽  
Digital Technology ◽  
Test Scores ◽  
Neuropsychological Test ◽  
Apoe Genotype ◽  
Digital Data ◽  
Cognitive Test ◽  
Digit Symbol Substitution Test ◽  
Information Processing Speed

Background: Coupling digital technology with traditional neuropsychological test performance allows collection of high-precision metrics that can clarify and/or define underlying constructs related to brain and cognition. Objective: To identify graphomotor and information processing trajectories using a digitally administered version of the Digit Symbol Substitution Test (DSST). Methods: A subset of Long Life Family Study participants (n = 1,594) completed the DSST. Total time to draw each symbol was divided into ‘writing’ and non-writing or ‘thinking’ time. Bayesian clustering grouped participants by change in median time over intervals of eight consecutively drawn symbols across the 90 s test. Clusters were characterized based on sociodemographic characteristics, health and physical function data, APOE genotype, and neuropsychological test scores. Results: Clustering revealed four ‘thinking’ time trajectories, with two clusters showing significant changes within the test. Participants in these clusters obtained lower episodic memory scores but were similar in other health and functional characteristics. Clustering of ‘writing’ time also revealed four performance trajectories where one cluster of participants showed progressively slower writing time. These participants had weaker grip strength, slower gait speed, and greater perceived physical fatigability, but no differences in cognitive test scores. Conclusion: Digital data identified previously unrecognized patterns of ‘writing’ and ‘thinking’ time that cannot be detected without digital technology. These patterns of performance were differentially associated with measures of cognitive and physical function and may constitute specific neurocognitive biomarkers signaling the presence of subtle to mild dysfunction. Such information could inform the selection and timing of in-depth neuropsychological assessments and help target interventions.

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