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

2019 ◽  
Vol 28 (2) ◽  
pp. 126-132 ◽  
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.

scholarly journals Hormonal and Body Composition Predictors of Soluble Leptin Receptor, Leptin, and Free Leptin Index in Adolescent Girls with Anorexia Nervosa and Controls and Relation to Insulin Sensitivity

2004 ◽  
Vol 89 (7) ◽  
pp. 3486-3495 ◽  
Author(s):  
Madhusmita Misra ◽  
Karen K. Miller ◽  
Cecilia Almazan ◽  
Kavitha Ramaswamy ◽  
Avichal Aggarwal ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Composition ◽  
Anorexia Nervosa ◽  
Body Fat ◽  
Adolescent Girls ◽  
Leptin Receptor ◽  
Percent Body Fat ◽  
Healthy Controls ◽  
Soluble Leptin Receptor

Abstract Anorexia nervosa (AN) is associated with very low levels of leptin, a cytokine secreted by adipose tissue and known to suppress appetite. Leptin may play a permissive role in onset of puberty and in resumption of gonadal function in conditions of undernutrition. The soluble leptin receptor (sOB-R) is the main leptin binding protein, and the ratio of serum leptin to sOB-R provides a measure of the free leptin index (FLI), which may be a more accurate determinant of leptin function. Determinants of sOB-R and FLI have not been examined in an adolescent population. We examined levels of sOB-R, leptin, and FLI, and body composition and hormonal determinants of these variables in 23 adolescent girls with AN and 21 healthy adolescent girls of comparable maturity prospectively over 1 yr. Measures of insulin resistance and adiponectin were also examined. We determined changes in levels of sOB-R, leptin, and FLI with weight recovery (defined as an increase in body mass index of ≥10%, n = 11), and with resumption of menstrual cycles (n = 13). Girls with AN had significantly higher levels of sOB-R (P = 0.0008) and significantly lower levels of leptin and FLI (P &lt; 0.0001 for both) than healthy controls, and levels of FLI were reduced more than levels of leptin in girls with AN compared with controls. An inverse correlation was noted between levels of leptin and sOB-R for the group as a whole (r = −0.64, P &lt; 0.0001) but not in girls with AN considered alone. The most important predictor of levels of sOB-R was cortisol in the group as a whole (r = 0.61, P &lt; 0.0001) and in girls with AN considered alone (r = 0.66, P = 0.0008). Other independent predictors of sOB-R levels for the entire group were percent body fat (r = −0.44, P = 0.003) and levels of IGF-I (r = −0.37, P = 0.01). The most important predictors of leptin and FLI were body mass index and percent body fat. An inverse relationship was noted between measures of insulin resistance and sOB-R levels, whereas a positive association was noted between these measures and leptin and FLI. Adiponectin values did not differ in girls with AN compared with healthy controls and did not correlate with sOB-R, leptin, or FLI. Weight recovery resulted in significant decreases in levels of the sOB-R (24.7 ± 1.7 to 17.6 ± 1.2 U/ml, P = 0.004), and increases in levels of leptin (4.4 ± 1.0 to 13.7 ± 2.9 μg/liter, P = 0.02). Resumption of menstrual function, but not weight recovery alone, was associated with significant increases in FLI (0.19 ± 0.04 to 0.50 ± 0.09 μg/U × 10−3, P = 0.02). We demonstrate an increase in levels of sOB-R and a decrease in the FLI in adolescent girls with AN, and also demonstrate that cortisol is the most important predictor of levels of sOB-R in this condition. Levels of leptin and FLI, conversely, are primarily predicted by body composition. Weight recovery is associated with a decrease in sOB-R and an increase in leptin. Resumption of menses is associated with significant increases in the FLI, suggesting that free leptin may be an important determinant of menstrual recovery.

scholarly journals Body Mass Index, Percent Body Fat and Visceral Fat in Relation to Dietary Fat and Fiber Intake among University Females

2015 ◽  
Vol 3 (3) ◽  
pp. 256-262
Author(s):  
Rafia Bano ◽  
Eyad AlShammari ◽  
Aljawharah Almedan
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Fat ◽  
Dietary Fat ◽  
Visceral Fat ◽  
Eating Habits ◽  
Overweight And Obesity ◽  
The Body ◽  
Percent Body Fat ◽  
Fiber Intake

Recent economic upliftment has brought many changes in the food choices and eating habits from home made to fast foods. This shift in the area of nutrition has given rise to overweight and obesity. Considering this the present study was planned to 1) determine the prevalence of overweight and obesity in a sample of university students 2) Find the relationship between the body composition and dietary fat and fibre intake. A total of 300 university females, 18-30+ years were randomly selected from all the colleges at the University of Hail for the present study. A Self-administered questionnaire was given, and the Body composition were measured with the help of bio-electric impedance analysis technique. Data were analysed using SPSS -17 software. The results indicated that 22% of the students were overweight and 21.3% were obese. The mean percent body fat as well as visceral fat exceeded its normal limits in around 44% of the participants. Vegetables and fruits, except dates, were not frequently consumed by most of the participants with a mean intake of fibre as 14g/day. Significant positive correlations were found among Body Mass Index (BMI), Body Fat% and Visceral Fat level. Strong positive correlation was also found between BMI and fat intake (P< 0.01), whereas the body composition and fiber intake was found to be inversely correlated (P<0.01). Findings of present study suggest that there is need for coordinated efforts at all levels to reduce the prevalence of obesity and high percentage of body fat, and to develop healthy eating habits in young generation.

In Nonobese Children, Fitness and BMI Are Independent Predictors of Fasting Insulin

2015 ◽  
Vol 27 (2) ◽  
pp. 203-207
Author(s):  
Andrew M. Watson ◽  
Jens Eickhoff ◽  
Blaise A. Nemeth ◽  
Aaron L. Carrel
Keyword(s):  
Middle School ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
School Children ◽  
Percent Body Fat ◽  
Fasting Insulin ◽  
Z Score ◽  
Middle School Children

Objective:Although fitness and obesity have been shown to be independent predictors of cardiometabolic disease risk in obese children, this interaction is not well defined in nonobese children. The purpose of this study was to define the relationships between peak aerobic capacity, body composition, and fasting insulin levels in nonobese middle school children.Study Design:148 middle school children (mean age 11.0 ± 2.1 years, 49% male) underwent determination of body mass index (BMI) z-score, fasting glucose, fasting insulin, body composition by DXA scan (lean body mass and body fat percentage), and peak oxygen uptake per kg of lean body mass (VO2peak). Univariate correlations and multivariate regression analysis were used to identify independent predictors of fasting insulin using age, sex, percent body fat, body mass index z-score, and VO2peak.Results:fasting insulin was significantly related to VO2peak (r =−0.37, p < .001), percent body fat (r = .27, p < .001), and BMI z-score (r = .33, p = .002). After inclusion in the multivariate model, VO2peak (p = .018) and body mass index z-score (p = .043) remained significant predictors of fasting insulin, while age (p = .39), sex (p = .49), and percent body fat (p = .72) did not.Conclusions:Among nonobese middle school children, fasting insulin is independently related to aerobic fitness after accounting for age, sex, and body composition. Public health efforts to reduce cardiometabolic disease risk among all adolescents should include exercise programs to increase cardiovascular fitness.

scholarly journals Relationship between Birth Weight and Metabolic Status in Obese Adolescents

ISRN Obesity ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
David J. Hill ◽  
Harry Prapavessis ◽  
J. Kevin Shoemaker ◽  
Michelle Jackman ◽  
Farid H. Mahmud ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
Body Fat ◽  
Percent Body Fat ◽  
Model Assessment ◽  
Obese Adolescents ◽  
Peripheral Arterial

Objective. To examine the relationships between birth weight and body mass index, percent body fat, blood lipids, glycemia, insulin resistance, adipokines, blood pressure, and endothelial function in a cohort of obese adolescents. Design and Methods. Ninety-five subjects aged 10–16 years (mean age 13.5 years) with a body mass index >95th centile (mean [±SEM] 33.0 ± 0.6) were utilized from two prospective studies for obesity prevention prior to any interventions. The mean term birth weight was 3527 ± 64 g (range 1899–4990 g;). Results. Body mass index z-score correlated positively with birth weight (r2=0.05, P=0.03), but not percent body fat. Insulin resistance negatively correlated with birth weight (r2=0.05, P<0.001), as did fasting plasma insulin (r2=0.05, P<0.001); both being significantly greater for subjects of small versus large birth weight (Δ Homeostasis Model Assessment = 2.5 and Δ insulin = 10 pmol/L for birth weight <2.5 kg versus >4.5 kg). Adiponectin, but not leptin, blood pressure z-scores or peripheral arterial tomography values positively correlated with birth weight (r2=0.07, P=0.008). Conclusions. Excess body mass index in obese adolescents was positively related to birth weight. Birth weight was not associated with cardiovascular risk factors but represented a significant determinant of insulin resistance.

Pre-pregnancy body mass index is associated with offspring body composition in adulthood before adiposity-related disorders: a retrospective cohort

2020 ◽  
pp. 1-17
Author(s):  
Ilana Eshriqui ◽  
Angélica Marques Martins Valente ◽  
Luciana Dias Folchetti ◽  
Bianca de Almeida-Pititto ◽  
Sandra Roberta G. Ferreira
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Directed Acyclic Graphs ◽  
Health Study ◽  
Appendicular Skeletal Muscle ◽  
Three Body

Abstract Objective: To investigate the association between maternal pre-pregnancy body mass index (BMI) and offspring body composition in adulthood. Design: Retrospective cohort. Undergraduates of nutrition or nutritionists were recruited at the baseline of the Nutritionists’ Health Study between 2014 and 2017. Maternal pre-pregnancy BMI and current life aspects were self-reported through online questionnaires. Three body compartments were DXA-determined. The following variables were obtained: body-fat (%), fat mass index (FMI) (kg/m2), android-to-gynoid fat ratio, visceral adipose tissue (VAT) (cm3), appendicular skeletal muscle mass index (ASMI) (kg/m2), total bone and femur mineral content (g) and density (g/cm2). Linear regression adjusted according to directed acyclic graphs recommendation was performed. Setting: São Paulo, Brazil. Participants: Healthy non-pregnant women (aged 20-45 years) (n=150). Results: Median age and BMI were 22 years (IQR=20; 29) and 22.3 kg/m2 (IQR=20.4; 25.3). Pre-pregnancy BMI≥25 kg/m2 was reported by 14.7% of mothers. In fully adjusted models, maternal pre-pregnancy BMI was associated with their daughters’ body-fat % (β=0.31; 95%CI=0.0004; 0.63), FMI (β=0.17; 95%CI=0.03; 0.30, android-to-gynoid ratio (β=0.01; 95%CI=0.004; 0.02) and VAT (β=0.09; 95%CI=0.02; 0.16), but not with total bone density (β=0.001; 95%CI=-0.003; 0.006) and content (β=7.13; 95%CI=-4.19; 18.46). Direct association with ASMI was also detected, but lost statistical significance when participants whose mothers were underweight were excluded. Conclusions: Maternal pre-pregnancy body mass index was directly associated with offspring general and visceral adiposity but seem not to be associated with bone mass. Results reinforce importance of avoiding excess of maternal adiposity, as an attempt to break the vicious cycle of obesity transmission.

Limitations of body mass index for counseling individuals with unilateral lower extremity amputation

2016 ◽  
Vol 41 (2) ◽  
pp. 186-193 ◽  
Author(s):  
Alexandra P Frost ◽  
Tracy Norman Giest ◽  
Allison A Ruta ◽  
Teresa K Snow ◽  
Mindy Millard-Stafford
Keyword(s):  
Body Mass Index ◽  
Lower Extremity ◽  
Health Risk ◽  
Body Mass ◽  
Body Fat ◽  
Lower Limb ◽  
Dual Energy ◽  
Limb Loss ◽  
Percent Body Fat ◽  
X Ray

Background: Body composition is important for health screening, but appropriate methods for unilateral lower extremity amputees have not been validated. Objectives: To compare body mass index adjusted using Amputee Coalition equations (body mass index–Amputee Coalition) to dual-energy X-ray absorptiometry in unilateral lower limb amputees. Study design: Cross-sectional, experimental. Methods: Thirty-eight men and women with lower limb amputations (transfemoral, transtibial, hip disarticulation, Symes) participated. Body mass index (mass/height2) was compared to body mass index corrected for limb loss (body mass index–Amputee Coalition). Accuracy of classification and extrapolation of percent body fat with body mass index was compared to dual-energy X-ray absorptiometry. Results: Body mass index–Amputee Coalition increased body mass index (by ~ 1.1 kg/m2) but underestimated and mis-classified 60% of obese and overestimated 100% of lean individuals according to dual-energy X-ray absorptiometry. Estimated mean percent body fat (95% confidence interval) from body mass index–Amputee Coalition (28.3% (24.9%, 31.7%)) was similar to dual-energy X-ray absorptiometry percent body fat (29.5% (25.2%, 33.7%)) but both were significantly higher ( p < 0.05) than percent body fat estimated from uncorrected body mass index (23.6% (20.4%, 26.8%)). However, total errors for body mass index and body mass index–Amputee Coalition converted to percent body fat were unacceptably large (standard error of the estimate = 6.8%, 6.2% body fat) and the discrepancy between both methods and dual-energy X-ray absorptiometry was inversely related ( r = −0.59 and r = −0.66, p < 0.05) to the individual’s level of body fatness. Conclusions: Body mass index (despite correction) underestimates health risk for obese patients and overestimates lean, muscular individuals with lower limb amputation. Clinical relevance Clinical recommendations for an ideal body mass based on body mass index–Amputee Coalition should not be relied upon in lower extremity amputees. This is of particular concern for obese lower extremity amputees whose health risk might be significantly underestimated based on body mass index despite a “correction” formula for limb loss.

Body mass index and percent body fat: a meta analysis among different ethnic groups

1998 ◽  
Vol 22 (12) ◽  
pp. 1164-1171 ◽  
Author(s):  
P Deurenberg ◽  
M Yap ◽  
WA van Staveren
Keyword(s):  
Body Mass Index ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Meta Analysis ◽  
Percent Body Fat

A comparison of body mass index and percent body fat as predictors of cardiovascular risk factors

2019 ◽  
Vol 13 (1) ◽  
pp. 570-575 ◽  
Author(s):  
Hosein Sheibani ◽  
Habibollah Esmaeili ◽  
Maryam Tayefi ◽  
Maryam Saberi-Karimian ◽  
Susan Darroudi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Body Mass ◽  
Body Fat ◽  
Percent Body Fat

scholarly journals Field methods in the evaluation of obesity in children and adolescents

2009 ◽  
Vol 9 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Míriam Akemi Sampei ◽  
Dirce Maria Sigulem
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Direct Relationship ◽  
Near Infrared ◽  
Field Methods ◽  
Large Samples ◽  
Infrared Methods ◽  
Better Than

In large samples, the methods for obtaining information on obesity need to be simple, inexpensive and reasonably accurate. This review deals with articles focusing on various field methods for the evaluation of body composition. The Bioimpedance and Near Infrared methods are simple to execute but their advantage in relation to Body Mass Index is obscure. Although the Bioimpedance and near infrared methods provide estimates of fat content, they may be no better than waist circumference measurements. The latter does not distinguish body fat but points to a more direct relationship concerning health risk. Regardless of the advantages, waist circumference continues to be under discussion: there is a lack of standardization and no reference populations or cutoff points have been established. No perfect method exists, but the number of errors could be reduced, if care were taken in drawing up protocols, standardization, and the analysis of sample properties.

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