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Izquierdo-Gomez, Rocio; Esteban-Cornejo, Irene; Cabanas-Sanchez, Veronica; Marcos, Ascensión; Gómez-Martínez, Sonia; Castro-Piñero, José; Veiga, Óscar L. – Journal of Intellectual & Developmental Disability, 2023
Introduction: The aims of this study were to examine cross-sectional, and longitudinal association of different measures of obesity and physical fitness with cardiovascular disease (CVD) risk factors in adolescents with Down syndrome. Methods: Longitudinal analysis included 90 adolescents with Down syndrome. Obesity and physical fitness were…
Descriptors: Obesity, Physical Fitness, Heart Disorders, At Risk Persons
Shin, Yongyun; Sun, Shumei S.; Bandyopadhyay, Dipankar – Grantee Submission, 2020
We analyze adolescent BMI and middle-age systolic blood pressure (SBP) repeatedly measured on women enrolled in the Fels longitudinal study (FLS) between 1929 and 2010 to address three questions: Do adolescent-specific growth rates in BMI and menarche affect middle-age SBP? Do they moderate the aging effect on middle-age SBP? Have the effects…
Descriptors: Obesity, Adolescents, Adults, Females
Papadopoulou, Souzana K.; Feidantsis, Konstantinos G.; Hassapidou, Maria N.; Methenitis, Spyridon – Research Quarterly for Exercise and Sport, 2021
Purpose: The aim of the present study was to identify the contribution of nutrition, physical activity (PA), and total energy intake and expenditure on body weight and composition in adolescents. Methods: Body composition, PA, and dietary intakes from 904 Greek adolescents (446 boys and 458 girls; Age: 14.6 ± 1.5 yrs), were evaluated. All…
Descriptors: Nutrition, Physical Activity Level, Adolescents, Gender Differences
Melekoglu, Tuba; Isin, Ali; Türk, Aysen – Journal of Education and Training Studies, 2019
Handgrip strength is an important determinant of general health. The primary purpose of this study is to examine the handgrip strength levels in adolescents in terms of sports participation. The second purpose is to determine the association between handgrip strength and other strength parameters. Physically active adolescent athletes (n = 31,…
Descriptors: Human Body, Muscular Strength, Adolescents, Athletics
Orhan, Ozlem; Polat, Sezen Cimen; Yarim, Imdat – Journal of Education and Learning, 2019
This study was conducted to evaluate the jump performance of youth basketball players according to their sport ages. 26 male basketball players (14.1±1.6 year) who participated in the study were divided into two groups of sport ages of 4 and below (=4) and 6 and above (=6). The group with sports ages =4 consisted of 12 male basketball players with…
Descriptors: Correlation, Athletics, Team Sports, Athletes
Bedard, Chloe; King-Dowling, Sara; Obeid, Joyce; Timmons, Brian W.; Ferro, Mark A. – Health Education & Behavior, 2022
This study measured physical activity (PA) and explored its correlates among children with multimorbidity (co-occurring chronic physical and mental illness; MM) versus those with chronic physical illness only (PI). This study used baseline data from the Multimorbidity in Children and Youth Across the Life Course (MY LIFE) study, an on-going cohort…
Descriptors: Physical Activity Level, Children, Comorbidity, Mental Disorders
Wyszynska, Justyna; Podgórska-Bednarz, Justyna; Deren, Katarzyna; Mazur, Artur – Journal of Intellectual & Developmental Disability, 2019
Background: The prevalence of abdominal obesity (AO) is high in individuals with intellectual disability (ID). The aim of this study was to assess the prevalence of hypertension (HPT) in students with ID with different distributions of adipose tissue. Method: Study involved 568 participants with ID. AO was assessed on the basis of waist…
Descriptors: Body Composition, Body Weight, Incidence, Hypertension
Machlin, Laura; McLaughlin, Katie A.; Sheridan, Margaret A. – Developmental Science, 2020
Low socioeconomic status (SES) is associated with greater risk for symptoms of attention-deficit/hyperactivity disorder (ADHD). One mechanism through which SES may confer risk for ADHD is by influencing brain structure. Alterations to cortical thickness, surface area and subcortical volume have been associated with low SES and with the presence of…
Descriptors: Socioeconomic Status, Socioeconomic Influences, Attention Deficit Hyperactivity Disorder, Brain
Cecchini, Jose A.; Fernandez-Rio, Javier; Mendez-Gimenez, Antonio; Sanchez-Martinez, Beatriz – European Physical Education Review, 2020
Adolescence can be a difficult period of life characterised, among many other things, by a significant increase in depressive symptoms among girls. Recent studies have suggested that sedentary habits and self-determined motivation can be associated with depressive symptoms. The main goal of the present study was to examine the associations between…
Descriptors: Physical Activity Level, Motivation, Depression (Psychology), Adolescents
Thompson, Iyonna; Hong, Jun Sung; Lee, Jeoung Min; Prys, Nicholas Alexander; Morgan, Julie Toth; Udo-Inyang, Ini – Educational Review, 2020
Children and adolescents who are overweight or obese are at a heightened risk of bullying involvement. The aim of the literature review is to review empirical research on weight-based bullying published between 2006 and 2016. Extant research was categorised by the following themes: (1) prevalence of weight-based bullying and peer victimisation;…
Descriptors: Bullying, Body Weight, Obesity, At Risk Persons
Namli, Sevinç; Demir, Gönül Tekkursun – Turkish Online Journal of Educational Technology - TOJET, 2020
The fact that the passion for digital gaming, which brings a sedentary lifestyle, replaces traditional games requiring exercise and physical education also has a negative impact on the health of children and adolescents. In this study, it was aimed to examine and evaluate high school students' attitudes towards digital gaming and sports by certain…
Descriptors: Athletics, Computer Games, Correlation, High School Students
Mahar, Matthew T.; Welk, Gregory J.; Rowe, David A. – Measurement in Physical Education and Exercise Science, 2018
Purpose: To develop models to estimate aerobic fitness (VO[subscript 2]max) from PACER performance in 10- to 18-year-old youth, with and without body mass index (BMI) as a predictor. Method: Youth (N = 280) completed the PACER and a maximal treadmill test to assess VO[subscript 2]max. Validation and cross-validation groups were randomly formed to…
Descriptors: Exercise, Physical Fitness, Preadolescents, Adolescents
Eitle, David; Eitle, Tamela McNulty – Journal of Alcohol and Drug Education, 2018
American Indians have among the highest prevalence rates for both substance use and obesity, yet there is a dearth of studies that have examined this relationship. We examined a subsample of American Indian adolescents (n=623), using the National Longitudinal Study of Adolescent to Adult Health. We examined the association between body mass index…
Descriptors: Body Weight, American Indians, Adolescents, Correlation
Hackett, Daniel A.; Davies, Timothy B.; Ibel, Denis; Cobley, Stephen; Sanders, Ross – Measurement in Physical Education and Exercise Science, 2018
This study examined the predictive ability of the medicine ball chest throw and vertical jump for muscular strength and power in adolescents. One hundred and ninety adolescents participated in this study. Participants performed trials of the medicine ball chest throw and vertical jump, with vertical jump peak power calculated via an estimation…
Descriptors: Predictive Measurement, Muscular Strength, Adolescents, Age Differences
Li, Yongzhan – School Mental Health, 2018
The present study aimed to examine the relationship between emotional intelligence (EI), social anxiety, and eating disorder risk as well as the effects of several demographic variables on social anxiety and eating disorder risk among adolescents in China. Seven hundred eighty-four senior high school students in China were sampled to participate…
Descriptors: Foreign Countries, Correlation, Emotional Intelligence, Eating Disorders