45 218 Board #69 May 27, 9:30 AM - 11:00 AM Body Fat Behavior During The Menstrual Cycle Fabíola L. Albuquerque, Tatiana Acioli Lins, Saulo Fernandes Melo de Oliveira, Jorge Luiz de Brito-Gomes, Raphael José Perrier-Melo, Thiago Coelho de Aguiar Silva, Juliette Noadya Costa Santos, Manoel da Cunha Costa. State University of Pernambuco, Recife, Brazil. Email: fabiola_bilinha@hotmail.com (No relationships reported) The menstrual cycle (MC) is a phenomenon that affects women between 13 and 50 years old, approximately. It has a infradian rhythm, with fluctuations in blood concentrations of the ovarian hormones, which cause morphological, metabolic, behavioral and emotional changes. PURPOSE: To analyze the behavior of body fat during the menstrual cycle. METHODS: Four collection sessions were conducted in four different moments during a menstrual cycle, according to the Go ncalves et al.’s (2011) division. The first collection session was in the menstrual phase, the second was in the follicular phase, the third was in the periovulatory phase and the last was in the luteal phase. In each collection session was held skinfolds measurements (Lange, USA) in these areas: biceps (BP), axillary (AX), supra-iliac (SI), abdominal (AB), subscapularis (SE ), triceps (TP), thigh (CX) and leg (PE). By performing skinfolds measurements of 15 eutrophic and eumenorrheic universities, the Spearman’s test was used to correlate skinfolds measurements and the values of the production rates of ovarian hormones existing in the literature (Halbe, 1993). RESULTS: A high correlation between the mid-axillary skinfold and the production of progesterone was observed (ρ = -0.949; p = 0.05), which is a skinfold widely used in equations to estimate body density and subsequently the percentage of fat. To classify universities as a health risk, some of them had three different classifications during the cycle. CONCLUSIONS: Given the findings, it is concluded that equations using the midaxillary skinfold should be avoided, as well as assessments of body composition should always be performed in the same phase of the menstrual cycle. In addition to state the menstrual phase, to perform the measurements, because this stage has the lower rate of ovarian hormone production. A-36 Free Communication/Poster - Cardiovascular Wednesday, May 27, 2015, 7:30 AM - 12:30 PM Room: Exhibit Hall F 219 Board #70 May 27, 11:00 AM - 12:30 PM Decrements in VO2max and Heart Rate Max in Normobaric Hypoxia Amy E. Hoeh, Brian J. McGowan, Brenna M. Sellman, Samantha M. Bussey, David J. Cleveland, Scott N. Drum, FACSM. Northern Michigan University, Marquette, MI. (Sponsor: Scott Drum, FACSM) Email: ahoeh@nmu.edu (No relationships reported) The use of intermittent normobaric hypoxia as an endurance training strategy is gaining popularity but under studied. Notably, it’s unclear what the magnitude of decline is in maximal oxygen uptake (VO 2max ) and heart rate max (HR max ) at moderate to high levels of hypoxia. PURPOSE: To determine decrements in VO 2max and HR max at sea level (SL) vs. three different hypoxic conditions. METHODS: 11 subjects (6 female, 5 male), who characterized themselves as frequent runners, completed five VO 2max tests – initial two at SL and subsequent three in increasing hypoxic room conditions where F I O 2 = 17.5%, 14.5%, and 12% or 1,500m, 3,000 m, and 4,500 m above sea level, respectively – with each test separated by at least two days. VO 2 and HR were continuously monitored to max volitional fatigue. VO 2max assessment 1 (V1) was an incremental, 3-min staged trial at SL. All other, quickly ramped (FAST) tests were based off speed (S1) at which V1 occurred (i.e., at least one minute into the next stage), such that after a 10-min warm-up at 50% S1, subsequent FAST tests started at 55% S1 for min 1, 95% S1 for min 2, and remained at 110% S1 until failure to continue. The SL staged and FAST VO 2max tests were highly correlated (Pearson’s correlation coefficient, r = .90). One-way ANOVA was used to analyze differences between hypoxic condition and SL (P < 0.05 was significant) for VO 2max and HR max . RESULTS: Participant age, weight, and height, respectively, were: 23.9 ± 6.5 yrs, 66.7 ± 7.3 kg, and 173.3 ± 7.6 cm. VO 2max and HR max average (mean ± SD) decrements (and % decline) from SL to 1,500m, 3,000m, and 4,500m, respectively, were 6.36 ± 3.0 (10.8%), 11 ± 4.9 (18.8%) , and 16.3 ± 5.0 (27.8%) ml·kg -1 · min -1 ; and 4.7 ± 6.1 (2.4%), 6.0 ± 4.9 (3.1%), and 11.5 ± 4.5 (4.4%) beats· min -1 . All hypoxic values vs SL were significantly decreased (P < 0.05), except SL vs. 1,500 m for HR max . CONCLUSION: When utilizing intermittent normobaric hypoxic training, consider applying percent changes from this study to help set appropriate levels of intensity for HR and VO 2 in hypoxia. 220 Board #71 May 27, 11:00 AM - 12:30 PM Heart Rate Recovery Varies by Sport and Position, but Not Gender, Among Collegiate Athletes Evan Lavine, Andrew Watson, Stacey Brickson, Jen Sanfilippo. University of Wisconsin - Madison, Madison, WI. (No relationships reported) Heart rate recovery (HRR) has been suggested as a useful tool to monitor fitness in athletes. Minimal data exists, however, regarding differences in HRR between sports, genders or positions, and there is currently no consensus regarding how to calculate HRR. PURPOSE: To determine whether HRR differs between sports, genders and position among collegiate athletes, and if these differences depend on the HRR calculation method employed. METHODS: 47 female (soccer=18, basketball=9, hockey=20) and 22 male (all soccer) NCAA Division 1 athletes completed exercise testing prior to the start of their respective seasons. Heart rate was monitored continuously during a 5-minute period of supine rest and maximal treadmill testing, followed immediately by 5 minutes of walking at 1.7mph with 0% incline to determine resting heart rate (HR rest ), maximal heart rate (HR max ), and heart rate reserve (HR res ). HRR was calculated at 10 seconds, 30 seconds, and then each minute during recovery as both a percentage of HR max (HRR %max ) and HR res (HRR %res ). All participants obtained at least 2 out of 3 objective criteria during treadmill testing: 1) RER ≥ 1.1, 2) plateau in VO 2 , and 3) attainment of ≥90% of age-predicted HR max . Repeated measures ANOVA was used to compare average HRR over time among female athletes by sport (hockey, basketball, soccer), and by gender and position [goalkeeper (GK), defender (D), midfielder (M), forward (F)] among soccer players. RESULTS: Using HR %max , basketball demonstrated slower HRR than hockey (78.2 v. 75.8%, p=0.017), but no other differences were noted. When expressed as HRR %res , basketball demonstrated slower HRR than soccer (67.4 v. 65.3%, p=0.49) and hockey (67.4 v 64.6%, p=0.013). No differences in HRR were noted between positions using HRR %max . When expressed as HRR %res , GK and D demonstrated faster recovery than F (63.5 v. 66.1%, p=0.013; 64.7 v 66.1%, p=0.005, respectively). No differences were identified between females and males using HRR %max (75.8 v. 75.8%, p=0.95) or HRR %res (65.4 v 65.3%, p=0.40). CONCLUSION: Among collegiate athletes, HRR differs by sport and position, but not by gender. Differences in HRR may be better identified when expressed in terms of HR res than HR max . This has potential implications for the proper use and interpretation of HRR as a monitoring tool among athletes. Copyright © 2015 by the American College of Sports Medicine. Unauthorized reproduction of this article is prohibited.