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THURSDAY , JU NE 1, 2 0 17 D-07 Thematic Poster S364 Vol. 49 No. 5 Supplement MEDICINE & SCIENCE IN SPORTS & EXERCISE® D-07 Thematic Poster ‑ Body Composition and axillary line section skinfold, abdominal skinfold, front thigh skin fold, and medial calf skinfold as independent variables. After cross-validation, the new predication equation Health (PE) was found to be valid in 20, 40, and 60 years old men and women (P<0.05). Thursday, June 1, 2017, 1:00 PM ‑ 3:00 PM Bland-Altman plots showed limited agreement between body fat percentage (BF%) Room: 101 calculated with the prediction equation (PE) and BF% measured with dual-energy X-ray absorptiometry (DXA) in adults aged 20-29, 40-49, and 60-69 years old. 1719 Chair: Peter W. Grandjean, FACSM. Baylor University, CONCLUSIONS: A prediction equation was developed, and this was able to predict total body fat of adults aged 20-69 years old using surface anthropometric Waco, TX. measurements with high predictive accuracy. (No relationships reported) 1722 Board #3 June 1 1:00 PM ‑ 3:00 PM 1720 Board #1 June 1 1:00 PM ‑ 3:00 PM Analysis Of Visceral Fat Tissue Via Dual-energy X-ray Age Related Decline in VO2max and Lean Body Mass Absorptiometry And Magnetic Resonance Imaging in Masters Athletes Parker N. Hyde, Nathan Lamba, Christopher Crabtree, Debbie Manal A. Naseeb1, Sinclair A. Smith1, Emily N. Werner, 191021, Scandling, Jay A. Short, Richard A. LaFountain, Teryn N. Jacqui Van Grouw1, Rachel C. Kelley2, Francesco Alessio1, Sapper, Madison L. Bowling, Vincent J. Miller, Fionn T. Mc Stella L. Volpe, FACSM1. 1Drexel University, Philadelphia, PA. Swiney, Ryan M. Dickerson, Orlando P. Simonetti, Jeff S. Volek. 2University of Florida, Gainesville, FL. (Sponsor: Stella Lucia The Ohio State University, Columbus, OH. Volpe, FACSM) Email: [email protected] Email: [email protected] (No relationships reported) (No relationships reported) Increased visceral adipose tissue (VAT) is strongly associated with insulin resistance Improving physical performance of athletes is an important goal to success in sports and cardiometabolic diseases. It is difficult to separate subcutaneous from visceral achievements. Aging influences both body composition and results in a decline in adipose tissue using standard body composition techniques, but recently dual energy maximal oxygen consumption (VO2max). This decline results from several factors, x-ray absorptiometry (DXA) has emerged as a method to quantify VAT. Purpose: The including increased body fat and reduced maximal cardiac output. Sex differences in objective of this study was to assess the correlation between VAT derived from DXA age-related decline in VO2max and lean body mass (LBM) in Masters Athletes is still and multi-slice magnetic resonance imaging. Methods: Twenty-two pairs of DXA not fully understood. PURPOSE: To examine the sex differences in the age-related and MRI scans were obtained from obese participants with metabolic syndrome. All decline in VO2max and LBM in Masters Athletes. METHODS: A total of 26 master matched DXA and MRI scans were completed within 72-hours of each other. VAT was athletes (females: n=14, males: n=12), 26 to 60 years of age, participated in this cross- imaged using both 3T MRI scanner and DXA. MRI VAT calculation was estimated sectional study. VO2max was determined via Vmax Encore metabolic system. Lean via a novel program which automatically segments and measures VAT as well as body mass was evaluated by dual energy X-ray absorptiometry (DXA). RESULTS: subcutaneous adipose tissue. Pearson product moment correlations were assessed to There were no significant differences in VO2max (40.1+8.7 and 38.2+12.1 mL/kg/ determine the strength of association between the MRI and criterion DXA. Bland- minute) (t (24) = 1.29, P=0.208) and age (36.5+5.4 and 41.4+9.1 years) (t (24) = Altman analysis was completed to assess the bias and limits of agreement of the two -0.784, P=0.441) between males and females, respectively. Males had a significantly methods. Results: Mean MRI VAT and DXA VAT were 4748.44 cm3±1366.59cm3 greater LBM than females (t (24) = 5.59, P=0.00) (61.7+9.1 kg and 44.2+6.9, and 2693.10±920.07 cm3, respectively. A strong correlation was observed between respectively). For males, there was no significant correlation between age andVO 2max MRI and DXA (r=0.891; p< 0.05). Bland-Altman analysis demonstrated bias, upper 3 3 3 (r = -0.31, P =0.32), age and LBM (r = -0.23, P=0.47), or VO2max and LBM (r = and lower limits of agreement were 2226.16 cm , 3548.73 cm and 903.583 cm , 0.04, P=0.89). For females, there was a significant negative correlation between age respectively. Conclusion: Large differences in means were expected due to the MRI and VO2max (r = -0.603, P=0.02); but no significant correlations were found between imaging a larger anatomical region (L5 to T9) compared to DXA (20% distance from age and LBM (r = -0.244, P=0.40) and VO2max and LBM (r = 0.121, P=0.68). There iliac crest to base of skull). Our results indicate that quantification ofVAT determined 2 2 was not a significant age-related decline in VO2max in males and females (r = 0.09, r from DXA and a novel multi-slice MRI protocol are highly correlated, suggesting that = 0.36, respectively) or in LBM (r2 = 0.05, r2 = 0.06, respectively). CONCLUSION: either method could be used to provide important insight into disease risk status and Although there were declines in VO2max in both men and women, these age-related effectiveness of therapeutic interventions. declines were not significant. In addition, age-related declines in LBM were not significant in this sample of Masters Athletes. These represent data from an unfunded 1723 Board #4 June 1 1:00 PM ‑ 3:00 PM research project Is Unhealthy Fat Mass Disguised By A Healthy BMI In 1721 Board #2 June 1 1:00 PM ‑ 3:00 PM Females With Eating Disorders? Development And Validation Of Body Fat Prediction Kethe M.E. Engen, Therese F. Mathisen, Jorunn Sundgot- Borgen, FACSM. Norwegian school of sport sciences, oslo, Equation In 20-69 Adults Norway. (Sponsor: Jim Skinner, FACSM) 1 2 1 1 JIEXIU ZHAO , Chuanye Huang , Ping Hong , Zihong He , Mei Email: [email protected] 1 3 1 4 3 1 Wang , Hui Tian , Ran Li , Jinlin Zhou , Chunyan Xu , Ye Tian . (No relationships reported) 1China Institute of Sport Science, Beijing, China. 2Shandong THURSDAY, JUNE 1, 2017 JUNE 1, THURSDAY, University of Sport, Jinan, China. 3Beijing Sport University, 4 The chaotic eating behavior, with or without periods with restrictive eating and Beijing, China. Chinese Mountaineering Association, Beijing, compensatory behavior, in bulimia nervosa (BN) and binge eating disorder (BED) China. can cause metabolic health challenges, with negative implications for regulation of Email: [email protected] body weight and composition. Despite the knowledge on how body composition and (No relationships reported) specifically abdominal fat mass relates to various health variables, body mass index (BMI) is still widely used as a health indicator for individuals and populations. Few PURPOSE: Skinfold thickness is commonly measured in clinical and field settings studies have investigated the fat distribution and the prevalence of abdominal adiposity for the assessment of body fat percentage (BF%) because this method is low cost. A among women with BN and BED. PURPOSE: To investigate the prevalence of study was conducted to develop prediction equation for total body fat using surface abdominal adiposity and examine the ability of BMI to identify women with increased anthropometric measures in adults aged 20-69 years old. abdominal adiposity in a group of treatment seeking women with BN and BED. METHODS: Data from 1225 healthy, yellow adults were used. The cohort was then METHODS: Baseline data from an ongoing RCT treatment study for females meeting divided into validation and cross-validation groups. Prediction equation was developed the DSM-5 criteria for BN or BED (BN n = 62 and BED n =26, aged 28 ± 5 years) by using regression analyses in 1141 Chinese adults aged 20-69 years old. These were used. Height (cm) and weight (kg) were measured. Abdominal adiposity was adults were recruited from a larger randomly sampled population-based study. The measured with dual-energy x-ray absorptiometry (DXA) (Lunar iDXA, GE Healthcare, independent variables included sex, age, height, mass, body mass index, chest girth, enCORE Software, Version 14.10.022) by performing a whole-body scan. Android waist girth, hip girth, and skinfold thickness at nine sites. The dependent variable was gynoid fat mass ratio (AG ratio) were calculated by the DXA software (AG ratio = % total body fat percentage and was measured using dual-energy X-ray absorptiometry android fat mass / % gynoid fat mass). Abdominal adiposity was defined as an AGratio (DXA). Multiple linear regression was used to determine the best prediction equation >0,7. RESULTS: The prevalence of abdominal adiposity was 63 % in the BN and for fat percentage. A total of 84 additional samples were included to verify the validity 73 % in the BED group. In all, 54 % and 81 % of cases with abdominal adiposity in of the equation. Tests for accuracy included R2 and Bland-Altman plots. the BN and BED group, respectively, were identified by BMI. CONCLUSIONS: RESULTS: Using multiple linear regression analyses, the best equation for predicting The results indicate that unhealthy fat mass is being disguised by a healthy BMI in FM (R2 = 0.758) included sex, age, height, body weight, body mass index, chest females with eating disorders. Furthermore, our findings highlights the importance of girth, hip girth, subscapular skinfold, triceps skinfold, biceps skinfold, chest skinfold, 1) assessing body composition and abdominal obesity rather than only body weight ACSM May 30 – June 3, 2017 Denver, Colorado Official Journal of the American College of Sports Medicine Vol.
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