1190 THE RELATIONSHIP BETWEEN PERCENT BODY FAT, VO2max, CHOLESTEROL, BLOOD PRESSURE, & FAT INTAKE IN MALE ADOLESCENT CROSS COUNTRY RUNNERS

The relationship between physical activity levels, salivary cortisol, and the metabolic syndrome (MetSyn) score was examined. Twenty-three girls (8.4 ± 0.9 years) had a fasting blood draw, waist circumference and blood pressure measured, and wore an ActiGraph accelerometer for 5 days. Saliva samples were collected to measure cortisol levels. Previously established cut points estimated the minutes spent in moderate, vigorous, and moderate-to-vigorous physical activity. A continuous MetSyn score was created from blood pressure, waist circumference, high-density-lipoprotein (HDL), triglyceride, and glucose values. Correlation analyses examined associations between physical activity, cortisol, the MetSyn score, and its related components. Regression analysis examined the relationship between cortisol, the MetSyn score, and its related components adjusting for physical activity, percent body fat, and sexual maturity. Vigorous physical activity was positively related with 30 min post waking cortisol values. The MetSyn score was not related with cortisol values after controlling for confounders. In contrast, HDL was negatively related with 30 min post waking cortisol. Triglyceride was positively related with 30 min post waking cortisol and area under the curve. The MetSyn score and many of its components were not related to cortisol salivary levels even after adjusting for physical activity, body fat percentage, and sexual maturity.

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The Relationship Between Amenorrhea and Injury Among Girls High School Cross Country Runners

Medicine & Science in Sports & Exercise ◽

10.1097/00005768-200405001-00175 ◽

2004 ◽

Vol 36 (Supplement) ◽

pp. S37

Author(s):

Mitchell J. Rauh ◽

Thomas D. Koepsell ◽

Jeanne F. Nichols ◽

Caroline A. Macera

Keyword(s):

High School ◽

Cross Country ◽

Cross Country Runners ◽

The Relationship

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The Relationship of Training Methods in NCAA Division I Cross-Country Runners and 10,000-Meter Performance

The Journal of Strength and Conditioning Research ◽

10.1519/00124278-200005000-00013 ◽

2000 ◽

Vol 14 (2) ◽

pp. 196-201

Author(s):

MAX J. KURZ ◽

KRIS BERG ◽

RICHARD LATIN ◽

WILLIAM DEGRAW

Keyword(s):

Ncaa Division I ◽

Division I ◽

Training Methods ◽

Cross Country ◽

Cross Country Runners ◽

Relationship Of ◽

The Relationship

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Examination of Risk for Sleep-Disordered Breathing Among College Football Players

Journal of Sport Rehabilitation ◽

10.1123/jsr.2017-0127 ◽

2019 ◽

Vol 28 (2) ◽

pp. 126-132 ◽

Cited By ~ 3

Author(s):

Bailey Peck ◽

Timothy Renzi ◽

Hannah Peach ◽

Jane Gaultney ◽

Joseph S. Marino

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

Body Composition ◽

Sleep Apnea ◽

Body Fat ◽

Sleep Disordered Breathing ◽

College Football ◽

Percent Body Fat ◽

Professional Football ◽

Track Athletes

Context: Professional football linemen are at risk for sleep-disordered breathing (SDB) compared with other types of athletes. It is currently unknown whether college football linemen display a similar risk profile. Objective: (1) To determine for the first time whether college football linemen show risk for SDB and (2) test the hypothesis that SDB risk is higher in college football linemen compared with an athletic comparison group. Design: Descriptive laboratory study. Setting: The Health Risk Assessment Laboratory. Participants: Male football linemen (n = 21) and track (n = 19) Division I athletes between the ages of 18 and 22 years. Interventions: Participants completed the Multivariable Apnea Prediction Index and Epworth Sleepiness Scale surveys, validated measures of symptoms of sleep apnea and daytime sleepiness, respectively. Neck and waist circumferences, blood pressure, Modified Mallampati Index (MMPI), and tonsil size were determined, followed by body composition assessment using dual-energy X-ray absorptiometry. Main Outcome Measures: Scores from surveys, anthropometric data, MMPI, and body composition. Results: Survey data demonstrated a deficiency in sleep quality and efficiency, coinciding with increased self-reported symptoms of apnea (Multivariable Apnea Prediction Index = 0.78) in college linemen relative to track athletes. Neck circumference (44.36 cm), waist circumference (107.07 cm), body mass index (35.87 kg/m2), and percent body fat (29.20%), all of which exceeded the clinical predictors of risk for obstructive sleep apnea, were significantly greater in linemen compared with track athletes. Multivariable Apnea Prediction variables were significantly correlated with MMPI, neck circumference, percent body fat, body mass index, and systolic blood pressure (r ≥ .31, P < .05), indicating that college football linemen are at increased risk for SDB. Conclusions: Risk factors for SDB recognized in professional football linemen are also present at the college level. Screening may minimize present or future risk for SDB, as well as the downstream risk of SDB-associated metabolic and cardiovascular disease.

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Hubungan Indeks Masa Tubuh (IMT) dengan Persen Lemak Tubuh, dan Lemak Viscelar di Kota Semarang

Jurnal Gizi ◽

10.26714/jg.10.1.2021.51-59 ◽

2021 ◽

Vol 10 (1) ◽

pp. 51

Author(s):

Purwanti Susantini

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Percent Body Fat ◽

Obese People ◽

Cross Sectional ◽

Metabolic Complications ◽

Regional Leadership ◽

Cross Sectional Design ◽

The Relationship

Indonesia is predicted to experience a demographic bonus period, namely the number of productive age population (aged 15-64 years) of 64%. The prevalence of obesity at productive age from 2007 to 2018 has increased from 8.6% to 13.6%. Obesity will result in high percent body fat andvisellar fat, and will result in various non-communicable diseases such as type 2 diabetes, cardiovascular disease, stroke, cancer and other non-metabolic complications such as arthritis. The onset of this disease in obese people is preceded by a group of symptoms such as hypertension, insulinresistance, dyslipidemia. Objectives: To determine the relationship between Body Mass Index and Percent body fat and to determine the relationship between Body Mass Index and Viscelar Fat. Methods: This study used a cross sectional design with purposive sampling method, namely thosevisiting the Aisyiyah Regional Leadership Stand in Semarang City at the Expo of Community Organizations in Semarang City. The sample is 115 people. Results: This study found that 35 (30.4%) men and 80 (69.6%) women, Average Age: (45.14 ± 14.55) years, Body Mass Index (25.39 ± 3.96), mean percent body fat (32.63 ± 6.68) mean viscelar fat (7.93 ± 5.13). There is a relationship between BMI and percent body fat (p = 0.000) and there is a relationship between BMI and Viscelar fat (p = 0.000).Keywords: Body Mass Index, percent body fat, Viscelar fat

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The Relationship Between Amenorrhea and Injury Among Girls High School Cross Country Runners

Medicine & Science in Sports & Exercise ◽

10.1249/00005768-200405001-00175 ◽

2004 ◽

Vol 36 (Supplement) ◽

pp. S37

Author(s):

Mitchell J. Rauh ◽

Thomas D. Koepsell ◽

Jeanne F. Nichols ◽

Caroline A. Macera

Keyword(s):

High School ◽

Cross Country ◽

Cross Country Runners ◽

The Relationship

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The Impact of Physical Activity on Lipids, Lipoproteins, and Blood Pressure in Preadolescent Girls

PEDIATRICS ◽

10.1542/peds.98.3.389 ◽

1996 ◽

Vol 98 (3) ◽

pp. 389-395

Author(s):

Suzanne B. Craig ◽

Linda G. Bandini ◽

Alice H. Lichtenstein ◽

Ernst J. Schaefer ◽

William H. Dietz

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Blood Pressure ◽

Energy Expenditure ◽

Body Fat ◽

Resting Metabolic Rate ◽

Density Lipoprotein ◽

Lipoprotein Cholesterol ◽

Percent Body Fat ◽

Apo B

Objective. Inconsistent findings reported for the effect of physical activity on lipids, lipoproteins, and blood pressure in children may be due to errors inherent in the methods used to measure physical activity, lack of control for other cardiovascular risk factors, or both. The purpose of this study was to evaluate the association between physical activity assessed using direct measures of energy expenditure and cardiovascular risk factors, controlling for dietary intake and percent body fat. Methods. Nonresting energy expenditure was determined in 49 8- to 11-year-old girls from measurements of daily energy expenditure (using doubly-labeled water, 2H218O) and resting metabolic rate (using indirect calorimetry). Self-reported recall of the hours of participation in physical activities of at least moderate intensity (energy expenditure at least four times the resting metabolic rate, METS ≥4) during the previous year was also obtained. Percent body fat was estimated from the measurement of total body water with H218O. Concentrations of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (apo B), apo A-I, lipoprotein (a), insulin, and estradiol, as well as the waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, and dietary intake from 7-day food records were measured Data were analyzed using Pearson product-moment correlation and stepwise multiple regression. Results. Self-reported hours of participation in activities with METS (metabolic equivalents) of 4 or greater significantly predicted LDL-C and apo B concentrations, even after adjustment for percent body fat and percentage of dietary energy from saturated fat. Nonresting energy expenditure adjusted for weight, a measure of the energy spent on physical activity, did not predict LDL-C or high-density lipoprotein cholesterol concentrations. Body mass index and insulin concentration predicted systolic and diastolic blood pressure, respectively. Conclusions. These findings suggest that the intensity of physical activity may be a more important determinant of LDL-C in children than the energy spent on physical activity.

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