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Direct linkCicone, Zackary S.; Holmes, Clifton J.; Fedewa, Michael V.; MacDonald, Hayley V.; Esco, Michael R. – Research Quarterly for Exercise and Sport, 2019
Purpose: Maximal heart rate (MHR) is an important physiologic tool for prescribing and monitoring exercise in both clinical and athletic settings. However, prediction equations developed in adults may have limited accuracy in youth. The purpose of this study was to systematically review and analyze the available evidence regarding the validity of…
Descriptors: Metabolism, Physiology, Age Differences, Prediction
Mertens, J.; Zane, E. R.; Neumeyer, K.; Grossman, R. B. – Journal of Autism and Developmental Disorders, 2017
Individuals with autism spectrum disorder (ASD) often exhibit increased anxiety, even in non-stressful situations. We investigate general anxiousness (anxiety trait) and responses to stressful situations (anxiety state) in 22 adolescents with ASD and 32 typically developing controls. We measured trait anxiety with standardized self- and…
Descriptors: Autism, Pervasive Developmental Disorders, Anxiety, Symptoms (Individual Disorders)
Tu, Kelly M.; Erath, Stephen A.; El-Sheikh, Mona – Developmental Psychology, 2017
The present study examined sympathetic and parasympathetic indices of autonomic nervous system reactivity as moderators of the prospective association between parental management of peers via directing of youths' friendships and peer adjustment in a sample of typically developing adolescents. Participants included 246 adolescents at Time 1 (T1)…
Descriptors: Adolescents, Peer Relationship, Parent Child Relationship, Responses
Agiovlasitis, Stamatis; Pitetti, Kenneth H.; Guerra, Myriam; Fernhall, Bo – Adapted Physical Activity Quarterly, 2011
This study examined whether 20-m shuttle-run performance, sex, body mass index (BMI), age, height, and weight are associated with peak oxygen uptake (VO[subscript 2peak]) in youth with Down syndrome (DS; n = 53; 25 women, age 8-20 years) and whether these variables can be used to develop an equation to predict VO[subscript 2peak]. BMI, 20-m…
Descriptors: Body Composition, Down Syndrome, Prediction, Scientific Concepts
Zhu, Zheng; Chen, Peijie; Zhuang, Jie – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to develop and cross-validate an equation based on ActiGraph accelerometer GT3X output to predict children and youth's energy expenditure (EE) of physical activity (PA). Method: Participants were 367 Chinese children and youth (179 boys and 188 girls, aged 9 to 17 years old) who wore 1 ActiGraph GT3X…
Descriptors: Foreign Countries, Physical Activities, Physical Activity Level, Children
Mahon, Anthony D.; Marjerrison, Andrea D.; Lee, Jonah D.; Woodruff, Megan E.; Hanna, Lauren E. – Research Quarterly for Exercise and Sport, 2010
In this study, we compared measured maximal heart rate (HRmax) to two different HRmax prediction equations [220-age and 208-0.7(age)] in 52 children ages 7-17 years. We determined the relationship of chronological age, maturational age, and resting HR to measured HRmax and assessed seated resting HR and HRmax during a graded exercise test.…
Descriptors: Metabolism, Maturity (Individuals), Age, Prediction
Malone, Stephen M.; McGue, Matt; Iacono, William G. – Journal of Child Psychology and Psychiatry, 2010
Background: The maximum number of alcoholic drinks consumed in a single 24-hr period is an alcoholism-related phenotype with both face and empirical validity. It has been associated with severity of withdrawal symptoms and sensitivity to alcohol, genes implicated in alcohol metabolism, and amplitude of a measure of brain activity associated with…
Descriptors: Mental Health, Pregnancy, Adolescents, Mothers
