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Bolger, Linda A.; Bolger, Lisa E.; O'Neill, Cian; Coughlan, Edward; Lacey, Seán; O'Brien, Wesley; Burns, Con – Research Quarterly for Exercise and Sport, 2019
Purpose: This study aimed to investigate the relationship between fundamental movement skills (FMS) and markers of health among a cohort of Irish primary school children. Methods: Participants (N = 296, mean age: 7.99 ± 2.02 years) were senior infant (n = 149, mean age: 6.02 ± 0.39 years) and 4th class (n = 147, mean age: 9.97 ± 0.40 years)…
Descriptors: Psychomotor Skills, Physical Activities, Physical Fitness, Correlation
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Dascal, Juliana Bayeux; Teixeira, Luis Augusto – Research Quarterly for Exercise and Sport, 2016
Purpose: Decline of motor performance in older individuals affects their quality of life. Understanding the contribution of sport-related training in advanced ages might help to attenuate motor performance decay as one gets older. The purpose of our study was to evaluate the extent to which long-lasting training in running or sport-specific skills…
Descriptors: Psychomotor Skills, Older Adults, Athletics, Quality of Life
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Finn, Kevin J.; Saint-Maurice, Pedro F.; Karsai, István; Ihász, Ferenc; Csányi, Tamás – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of this study was to test the convergent validity of Omron 306 using Biospace InBody 720. Method: A total of 267 participants (145 boys; aged 10.4-17.9 years) completed testing during a single session. Each measure provided percent body fat (%BF), while the InBody 720 included fat-free mass (FFM). The validity was examined…
Descriptors: Children, Adolescents, Preadolescents, Measurement Equipment
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Saint-Maurice, Pedro F.; Laurson, Kelly R.; Karsai, István; Kaj, Mónika; Csányi, Tamás – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of this study was to examine age- and sex-related variation in handgrip strength and to determine reference values for the Hungarian population. Method: A sample of 1,086 Hungary youth (aged 11-18 years old; 654 boys and 432 girls) completed a handgrip strength assessment using a handheld dynamometer. Quantile regression was…
Descriptors: Foreign Countries, Adolescents, Preadolescents, Late Adolescents
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Hancock, David J.; Ste-Marie, Diane M.; Young, Bradley W. – Research Quarterly for Exercise and Sport, 2013
Relative age effects (RAEs; when relatively older children possess participation and performance advantages over relatively younger children) are frequent in male team sports. One possible explanation is that coaches select players based on physical attributes, which are more likely witnessed in relatively older athletes. Purpose: To determine if…
Descriptors: Males, Athletes, Athletic Coaches, Age Differences
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Niederer, Iris; Kriemler, Susi; Zahner, Lukas; Burgi, Flavia; Ebenegger, Vincent; Marques- Vidal, Pedro; Puder, Jardena J. – Research Quarterly for Exercise and Sport, 2012
In the Ballabeina study, we investigated age- and BMI-group-related differences in aerobic fitness (20 m shuttle run), agility (obstacle course), dynamic (balance beam) and static balance (balance platform), and physical activity (PA, accelerometers) in 613 children (M age = 5.1 years, SD = 0.6). Normal weight (NW) children performed better than…
Descriptors: Physical Activities, Physical Fitness, Obesity, Comparative Analysis
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Castro-Pinero, Jose; Gonzalez-Montesinos, Jose Luis; Keating, Xiaofen D.; Mora, Jesus; Sjostrom, Michael; Ruiz, Jonatan R. – Research Quarterly for Exercise and Sport, 2010
The aim of this study was to provide percentile values for six different sprint tests in 2,708 Spanish children (1,234 girls) ages 6-17.9 years. We also examined the influence of weight status on sprint performance across age groups, with a focus on underweight and obese groups. We used the 20-m, 30-m, and 50-m running sprint standing start and…
Descriptors: Physical Activities, Scientific Concepts, Field Tests, Obesity
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Welk, Gregory J.; Meredith, Marilu D.; Ihmels, Michelle; Seeger, Chris – Research Quarterly for Exercise and Sport, 2010
This study examined demographic and geographic variability in aggregated school-level data on the percentage of students achieving the FITNESSGRAM[R] Healthy Fitness Zones[TM] (HFZ). Three-way analyses of variance were used to examine differences in fitness achievement rates among schools that had distinct diversity and socioeconomic status…
Descriptors: Socioeconomic Status, Physical Fitness, Geographic Location, Profiles
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Laurson, Kelly R.; Brown, Dale D.; Cullen, Robert W.; Dennis, Karen K. – Research Quarterly for Exercise and Sport, 2008
This study examined how activity type influenced heart rates and time spent in target heart rate zones of high school students participating in physical education classes. Significantly higher average heart rates existed for fitness (142 plus or minus 24 beats per minute [bpm]) compared to team (118 plus or minus 24 bpm) or individual (114 plus or…
Descriptors: Metabolism, Physical Education, Team Sports, Individual Activities
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Jackson, Allen W.; Morrow, James R., Jr.; Bowles, Heather R.; FitzGerald, Shannon J.; Blair, Steven N. – Research Quarterly for Exercise and Sport, 2007
Valid measurement of physical activity is important for studying the risks for morbidity and mortality. The purpose of this study was to examine evidence of construct validity of two similar single-response items assessing physical activity via self-report. Both items are based on the stages of change model. The sample was 687 participants (men =…
Descriptors: Physical Activities, Physical Activity Level, Construct Validity, Guidelines
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Schott, Nadja; Alof, Verena; Hultsch, Daniela; Meermann, Dagmar – Research Quarterly for Exercise and Sport, 2007
The protective effects of physical activity and fitness on cardiovascular health have clearly been shown among normally developed children. However, data are currently lacking pertaining to children with developmental coordination disorder (DCD). The purpose of this study was to examine differences in fitness measures, body composition, and…
Descriptors: Obesity, Body Composition, Age Differences, Physical Activities
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Bradshaw, Danielle I.; George, James D.; Hyde, Annette; LaMonte, Michael J.; Vehrs, Pat R.; Hager, Ronald L.; Yanowitz, Frank G. – Research Quarterly for Exercise and Sport, 2005
The purpose of this study was to develop a regression equation to predict maximal oxygen uptake (VO[subscript 2]max) based on nonexercise (N-EX) data. All participants (N = 100), ages 18-65 years, successfully completed a maximal graded exercise test (GXT) to assess VO[subscript 2]max (M = 39.96 mL[middle dot]kg[superscript -1][middle…
Descriptors: Adults, Exercise, Testing, Body Composition
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Londeree, Ben R.; Moeschberger, Melvin L. – Research Quarterly for Exercise and Sport, 1982
To reduce confusion regarding reported effects of age on maximal exercise heart rate, a comprehensive review of the relevant English literature was conducted. Data on maximal heart rate after exercising with a bicycle, a treadmill, and after swimming were analyzed with regard to physical fitness and to age, sex, and racial differences. (Authors/PP)
Descriptors: Age Differences, Aging (Individuals), Cardiovascular System, Exercise Physiology
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Bungum, Timothy J.; Jackson, Allen W.; Weiller, Karen H. – Research Quarterly for Exercise and Sport, 1998
Used FITNESSGRAM fitness standards to compare passing rates of Asian and Pacific Islander (API) students with passing rates of National Children and Youth Fitness Study participants, examining body mass index (BMI) and 1-mile run (OMR) rates. The groups had similar BMI but differing OMR passing rates. There were gender- and age-related BMI and OMR…
Descriptors: Age Differences, Asian Americans, Body Composition, Elementary Education
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Blair, Steven N.; And Others – Research Quarterly for Exercise and Sport, 1987
Reports on the results of three epidemiologic studies of orthopedic running and exercise injuries in exercisers present information regarding relationships between type of injury and participant age, gender, exercise level, exercise surface, and physical fitness. (Author/CB)
Descriptors: Age Differences, Cardiovascular System, Exercise Physiology, Incidence
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