scholarly journals Postpartum Body Composition: A Case Study Of Two Pregnancies

2020 ◽  
Vol 52 (7S) ◽  
pp. 560-560
Author(s):  
Jacilyn M. Olson ◽  
Larissa Boyd ◽  
Melissa Powers
Keyword(s):  
Body Composition

Case Study: The Effect of Nutritional Intervention on Body Composition and Physical Performance of a Female Squash Player

2018 ◽  
Vol 28 (3) ◽  
pp. 279-283 ◽  
Author(s):  
Christopher Rosimus
Keyword(s):  
Vitamin D ◽  
Body Composition ◽  
Physical Performance ◽  
Body Fat ◽  
Nutritional Intervention ◽  
Energy Restriction ◽  
The Body ◽  
Full Blood Count ◽  
Vitamin D Status

The body composition of a squash player may affect athletic performance as carrying excessive body fat may increase injury risk and impair agility and speed. This case study outlines the effect of a nutritional intervention on body composition, vitamin D status, and physical performance of a female squash player. A structured, 6-week, moderate energy–restricted diet (70–78% of estimated energy requirement of 2,300 kcal) was implemented with weekly support. A daily supplement of vitamin D, omega-3 fatty acids, and a multivitamin and whey protein was used. Full blood count, vitamin D status, body composition, and physical performance assessments were carried out at baseline and Week 6 of intervention. Body composition changes were measured using the BOD POD™ and skinfold calipers. Body fat was 23% at baseline and 22% at Week 6. Mean sum of eight skinfolds was 127.4 ± 2.2 mm at baseline and 107.3 ± 0.4 mm at Week 6. Lean body mass-to-fat mass ratio improved from 3.4 at baseline to 3.7 at Week 6. The greatest increments compared with baseline in serum markers were 25-hydroxyvitamin D3 (68%), ferritin (31%), eosinophils (20%), and triglycerides (16%). All physical performance measures improved, with reactive strength index (4.8%), and on-court repeated speed (6.0%) showing the greatest improvements from baseline. This intervention demonstrates that structured energy restriction alongside appropriately structured strength and conditioning training is an effective way to gradually reduce the body fat and improve the body composition of a female athlete.

scholarly journals Mapping institutions and their weak ties in a specialty: A case study of cystic fibrosis body composition research

2008 ◽  
Vol 79 (2) ◽  
pp. 421-434 ◽  
Author(s):  
Liying Yang ◽  
Steven A. Morris ◽  
Elizabeth M. Barden
Keyword(s):  
Cystic Fibrosis ◽  
Body Composition ◽  
Weak Ties

scholarly journals Training and Body Composition during Preparation for a 48-Hour Ultra-Marathon Race: A Case Study of a Master Athlete

2019 ◽  
Vol 16 (6) ◽  
pp. 903 ◽  
Author(s):  
Pantelis Nikolaidis ◽  
Celina Knechtle ◽  
Rodrigo Ramirez-Campillo ◽  
Rodrigo Vancini ◽  
Thomas Rosemann ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Height ◽  
The Body ◽  
Fat Free Mass ◽  
Limited Information ◽  
Master Athlete ◽  
Marathon Race ◽  
Ultra Endurance

Although the acute effects of ultra-endurance exercise on body composition have been well studied, limited information exists about the chronic adaptations of body composition to ultra-endurance training. The aim of the present study was to examine the day-by-day variation of training and body composition of a master athlete during the preparation for a 48-hour ultra-marathon race. For all training sessions (n = 73) before the race, the running distance, duration, and pace were recorded, and body mass, body fat (BF), body water (%), visceral fat, fat-free mass (FFM), four circumferences (i.e., waist, upper arm, thigh and calf), and eight skinfolds (i.e., chest, mid-axilla, triceps, subscapular, abdomen, iliac crest, thigh and calf) were measured accordingly in a 53-year-old experienced ultra-endurance athlete (body mass 80.1 kg, body height 177 cm, body mass index 25.6 kg·m−2). The main findings of the present study were that (a) the training plan of the ultra-endurance master athlete followed a periodization pattern with regard to exercise intensity and training volume, which increased over time, (b) the body mass, BF, and FFM decreased largely during the first 30 training sessions, and (c) the circumferences and skinfolds reflected the respective decrease in BF. The findings of this case study provided useful information about the variation of training and body composition during the preparation for an ultra-marathon race in a male master ultra-marathoner. The preparation for an ultra-endurance race seems to induce pronounced changes in body mass and body composition.

scholarly journals Case study: using monitoring of body composition data obtained by bioimpedance, in training of an elite male runner

2010 ◽  
Vol 2 (2) ◽  
pp. 3059-3064 ◽  
Author(s):  
Julien Rebeyrol ◽  
Marie-Valérie Moreno ◽  
Eva Ribbe ◽  
Arnaud Vannicatte
Keyword(s):  
Body Composition ◽  
Composition Data

Case Study: Unfavorable But Transient Physiological Changes During Contest Preparation in a Drug-Free Male Bodybuilder

2017 ◽  
Vol 27 (6) ◽  
pp. 550-559 ◽  
Author(s):  
Andrew Pardue ◽  
Eric T. Trexler ◽  
Lisa K. Sprod
Keyword(s):  
Body Composition ◽  
Sleep Quality ◽  
Metabolic Rate ◽  
Anaerobic Power ◽  
Physiological Changes ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Endocrine Profile ◽  
Drug Free

Extreme body composition demands of competitive bodybuilding have been associated with unfavorable physiological changes, including alterations in metabolic rate and endocrine profile. The current case study evaluated the effects of contest preparation (8 months), followed by recovery (5 months), on a competitive drug-free male bodybuilder over 13 months (M1-M13). Serum testosterone, triiodothyronine (T3), thyroxine (T4), cortisol, leptin, and ghrelin were measured throughout the study. Body composition (BodPod, dualenergy x-ray absorptiometry [DXA]), anaerobic power (Wingate test), and resting metabolic rate (RMR) were assessed monthly. Sleep was assessed monthly via the Pittsburgh Sleep Quality Index (PSQI) and actigraphy. From M1 to M8, testosterone (623–173 ng∙dL-1), T3 (123–40 ng∙dL-1), and T4 (5.8–4.1 mg∙dL-1) decreased, while cortisol (25.2–26.5 mg∙dL-1) and ghrelin (383–822 pg∙mL-1) increased. The participant lost 9.1 kg before competition as typical energy intake dropped from 3,860 to 1,724 kcal∙day-1; BodPod estimates of body fat percentage were 13.4% at M1, 9.6% at M8, and 14.9% at M13; DXA estimates were 13.8%, 5.1%, and 13.8%, respectively. Peak anaerobic power (753.0 to 536.5 Watts) and RMR (107.2% of predicted to 81.2% of predicted) also decreased throughout preparation. Subjective sleep quality decreased from M1 to M8, but objective measures indicated minimal change. By M13, physiological changes were largely, but not entirely, reversed. Contest preparation may yield transient, unfavorable changes in endocrine profile, power output, RMR, and subjective sleep outcomes. Research with larger samples must identify strategies that minimize unfavorable adaptations and facilitate recovery following competition.

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