scholarly journals Estimation of energy balance and training volume during Army Initial Entry Training

Author(s):  
Jeremy McAdam ◽  
Kaitlin McGinnis ◽  
Rian Ory ◽  
Kaelin Young ◽  
Andrew D. Frugé ◽  
...  
2010 ◽  
Vol 20 (5) ◽  
pp. 418-426 ◽  
Author(s):  
Noel Pollock ◽  
Claire Grogan ◽  
Mark Perry ◽  
Charles Pedlar ◽  
Karl Cooke ◽  
...  

Low bone-mineral density (BMD) is associated with menstrual dysfunction and negative energy balance in the female athlete triad. This study determines BMD in elite female endurance runners and the associations between BMD, menstrual status, disordered eating, and training volume. Forty-four elite endurance runners participated in the cross-sectional study, and 7 provided longitudinal data. Low BMD was noted in 34.2% of the athletes at the lumbar spine, and osteoporosis in 33% at the radius. In cross-sectional analysis, there were no significant relationships between BMD and the possible associations. Menstrual dysfunction, disordered eating, and low BMD were coexistent in 15.9% of athletes. Longitudinal analysis identified a positive association between the BMD reduction at the lumbar spine and training volume (p = .026). This study confirms the presence of aspects of the female athlete triad in elite female endurance athletes and notes a substantial prevalence of low BMD and osteoporosis. Normal menstrual status was not significantly associated with normal BMD, and it is the authors’ practice that all elite female endurance athletes undergo dual-X-ray absorptiometry screening. The association between increased training volume, trend for menstrual dysfunction, and increased loss of lumbar BMD may support the concept that negative energy balance contributes to bone loss in athletes.


2019 ◽  
Vol 7 (3_suppl) ◽  
pp. 2325967119S0012 ◽  
Author(s):  
Matthew D. Milewski ◽  
Caitlin M. McCracken ◽  
Bill Meehan ◽  
Andrea Stracciolini

BACKGROUND Sleep duration and sport specialization have been shown to affect injury profile in young athletes. The interplay between training hours per week, and, multiple versus single sports participation on sleep hours in young athletes is unknown. Purpose/Objective To investigate associations between single sport participation and training volume, with sleep hours, in pediatric and adolescent athletes. METHODS Study design: Cross-sectional epidemiological study was conducted using electronic questionnaire data from an injury prevention evaluation (IPE) at a sports injury prevention center affiliated with a tertiary level pediatric medical center between April 2013 and February 2018. Data analysis included sports participation, previous injury history, training regimen, and sleeping habits. For each sport selected, athletes were asked about average number of practice hours for each sport and number of seasons training for the sport during the year. All athletes aged 11-18 years were included in the study. Main outcome measures include sleep duration, single sport, and training hours/seasons. Single sport athletes were defined as those athletes who listed participation in only one sport year-round. Binary measures were created to indicate 1)any participant that listed practicing > 10 hour/week for any sport during a season and 2) any participant that trains three or more seasons for any sport in which they participate. Multivariate regression models (M1, M2, M3) were created for soccer athletes to control for sport training differences while testing the independent effect of gender, age and sport training. Based on the results univariate linear regression of hours of sleep was stratified by age and gender and regressed by self-reported hours of practice per week, identification as single sport athlete, training three or more seasons for soccer. RESULTS There were 756 athletes, 11-18 years old, included (mean age 13.5±2.5 years; 56% female (N=426)). For female athletes, figure skating (46%, 11/24), dance (42%, 28/67), and gymnastics (25%, 12/47) lead the list for single sport athletes. In comparison, for male athletes, swimming (26%, 5/19), tennis (19%, 5/26) and soccer (13%, 16/120) lead the list. The overwhelming majority of gymnasts, dancers, and figure skaters (88% (38/43), 83% (54/66) and 83%, (20/24)) train = 3 seasons of the year. In comparison, for male athletes, tennis athletes (62%, 16/25) seem to train = 3 seasons of the year followed by soccer (41%, 49/119) and swimming (39%, 7/18). (Tables 1 and 2) Table 3 presents multivariate linear regression coefficient of weeknight hours slept by practice hours, gender, age and sport characteristics for soccer participants using three different models (M1, M2, M3). Younger athletes, ages 11-14 years, slept nearly an hour more than participants aged 15-18 years across all training types. Only female soccer athletes training = 3 seasons slept significantly less (ß -0.24, SE 0.12, 95%) than their male counterparts. Participants that practiced soccer > 10 hours/week slept significantly, and substantively, less than their peers practicing =3 or less hours/week (ß -0.61, SE 0.17, 95%). Table 4 presents all participants and sport type stratified by age and sex. Practicing more than 10 hours/week was significant in males ages 11-14 years. Middle school aged males, practicing > 10 hours/week for any sport in which they participate over the course of the year, slept over half an hour less than their peers that practiced fewer hours (ß -0.65, SE 0.2, 95%). CONCLUSIONS/SIGNIFICANCE Training volume appears to affect sleep in young athletes. Middle school male athletes practicing greater than 10 hours/week appear to sleep less than their peers. Anticipatory guidance surrounding training may help to improve sleep hygiene in pediatric and adolescent athletes. [Table: see text][Table: see text][Table: see text][Table: see text]


2008 ◽  
Vol 26 (8) ◽  
pp. 863-873 ◽  
Author(s):  
John H. M. Brooks ◽  
Colin W. Fuller ◽  
Simon P. T. Kemp ◽  
Dave B. Reddin

2020 ◽  
Vol 55 (12) ◽  
pp. 1292-1299
Author(s):  
Kris Camelio ◽  
Allison H. Gruber ◽  
Douglas W. Powell ◽  
Max R. Paquette

Context Changes in lower limb loading and movement quality after prolonged running and training periods might influence injury risks in runners. Objectives To assess (1) the effects of a single prolonged run and a 3-week running training program on peak tibial acceleration (PTA) during running and Functional Movement Screen (FMS) criterion tests, and (2) the relationship between running volume during the 3-week training program and changes in PTA and FMS scores after training. Design Case series. Setting Research laboratory. Patients or Other Participants Ten novice runners (age = 27 ± 7 years) with 15 ± 14 months of running experience, who ran on average 19.6 ± 4.8 km per week at a preferred pace of 7:05 ± 1:30 minutes per km. Main Outcome Measure(s) Participants completed a 30-minute submaximal prolonged treadmill run and 3-week training program with 25% increases in weekly running volume. Peak tibial acceleration and the deep-squat and active straight-leg–raise criterion FMS test scores were assessed before and after the prolonged run at enrollment and after the training program (ie, 3 testing sessions). Results No differences in PTA or FMS scores were observed among the 3 testing times. Although the changes in PTA (r = 0.57) and FMS aggregate score (r = 0.15) were not significantly correlated with training volume, training volume explained 32% of the variance in the PTA change from before to after training. Conclusions Our findings suggest that tibial acceleration and movement quality were not influenced by a single submaximal-effort prolonged run or a 3-week training period. However, novice runners who have a greater increase in running volume might be more susceptible to training-related changes in tibial acceleration than those whose running volume is less.


2002 ◽  
Vol 94 (3) ◽  
pp. 1009-1012 ◽  
Author(s):  
Edgar F. Pierce

Mood states have been shown to be sensitive to periods of overtraining among endurance athletes. To examine the relationship between training volume and specific mood states, the Profile of Mood States was administered biweekly to 12 male and 17 female collegiate swimmers over the course of a competitive season. Pearson correlations were estimates of the relationship between mean subscores and training volume. Mean training volume for the comparison periods ranged from 3,868 to 12,500 meters/day. Mean ratings of both Anger and Vigor were significantly negatively correlated with training volume (−.58 and −.54, respectively). In addition, Fatigue was significantly correlated with training volume ( r = .53), but the mean subscores for Tension, Depression, Confusion, and Global Mood were not significantly correlated with training volume. Results support previous research reporting mood disturbances with increased training volumes but do not support suggestions of an increased tendency towards higher scores on depression.


Author(s):  
Waynne Ferreira de Faria ◽  
João Paulo de Farias ◽  
Renan Camargo Corrêa ◽  
Claudinei Ferreira dos Santos ◽  
Antonio Stabelini Neto ◽  
...  

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n2p187 Although the tri-set system is widely adopted by athletes and experienced weight training practitioners aimed at optimizing the metabolic overload, there are still few works in literature on the effect of exercise order manipulation on this training system. Therefore, this work was aimed at investigating the effect of exercise order manipulation on the number of repeats and training volume using the tri-set system for lower limbs. This is a randomized cross-over design study. The experimental group consisted of 14 healthy men (23.53 ± 5.40 years; 24.51 ± 2.96 kg/m2). Subjects were submitted to two experimental sessions at different exercise order for lower limbs: Sequence A: squat on guided bar, leg press 45° and bilateral leg extension; sequence B: bilateral leg extension, leg press 45° and squat on guided bar. Three sets to volitional fatigue in all exercises were performed, with intensity of 75% 1RM. Superiority for sequence B in the total number of repeats (70.14 ± 13 vs 60.93 ± 7.94 repeats, p = 0.004) and total training volume (9129.64 ± 2830.05 vs 8238.29 ± 2354.20 kg, p = 0.014) was observed. Based on the above, the performance of single-joint exercises before multi-joint exercises in the tri-set system adopted for lower limbs induced higher number of repeats and total training volume.


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