scholarly journals Comparison of Energy Expenditure Observed between Scheduled Activities in Collegiate Team-Sport Female Athletes

Sports ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 50
Author(s):  
Jessica M. Moon ◽  
Hannah A. Zabriskie ◽  
Patrick S. Harty ◽  
Bradley S. Currier ◽  
Julia C. Blumkaitis ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Female Athletes ◽  
Team Sport ◽  
Activity Level ◽  
Ncaa Division Ii ◽  
Activity Monitors ◽  
Energy Needs ◽  
The Difference ◽  
Academic Year ◽  
Activity Energy

Energy needs of female team-sport athletes are poorly understood with no evidence highlighting differences present between scheduled activities. The purpose of this study was to examine the difference in energy expenditure between NCAA Division II female basketball (BBALL) and lacrosse (LAX) athletes during different scheduled team activities. Female BBALL (n = 13; 19.8 ± 1.3 yrs; 173.9 ± 13.6 cm; 74.6 ± 9.1kg; 27.1 ± 3.2%fat) and LAX (n = 20; 20.4 ± 1.8yrs; 168.4 ± 6.6cm; 68.8 ± 8.9kg; 27.9 ± 3.1%fat) athletes were outfitted with heart rate and activity monitors during four consecutive days on five different occasions (20 days total) across an entire academic year to assess differences in total daily activity energy expenditure (TDEE), activity energy expenditure (AEE), and physical activity level (PAL). Data were categorized by type of scheduled daily activities: Practice, Game, Conditioning, or Off. Independent of day type, TDEE, AEE, and PAL levels were greater (p < 0.05) in BBALL athletes. For each sport, TDEE, AEE, and PAL were significantly different (p < 0.05) between classified activity days. BBALL and LAX athletes experienced higher values on game days for TDEE, AEE, and PAL, with the lowest values experienced on off days. In conclusion, calculated levels of TDEE, AEE, and PAL in female collegiate BBALL and LAX athletes were determined to be different, irrespective of the scheduled activity.

scholarly journals Energy Availability in Male and Female Elite Wheelchair Athletes over Seven Consecutive Training Days

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3262 ◽  
Author(s):  
Thomas Egger ◽  
Joelle Leonie Flueck
Keyword(s):  
Energy Expenditure ◽  
Energy Intake ◽  
Female Athletes ◽  
Resting Energy Expenditure ◽  
Energy Availability ◽  
Male Athletes ◽  
Wheelchair Athletes ◽  
Energy Needs ◽  
Exercise Energy Expenditure ◽  
And Training

Background: Low energy availability (LEA) is a major problem as athletes often restrict their energy intake. It has been shown that LEA occurs often in female and endurance athletes and in athletes from weight-sensitive or aesthetic sports. The purpose of this study was to investigate energy availability (EA) in elite wheelchair athletes. Methods: Fourteen elite wheelchair athletes (8 males; 6 females) participated. Data were collected using a weighed seven-day food and training diary to estimate energy intake and exercise energy expenditure. Resting energy expenditure and body composition were measured, whereas energy balance (EB) was calculated. Results: Measured over 7 days, EA was significantly different (36.1 ± 6.7 kcal kg−1 FFM day−1) in male compared to female (25.1 ± 7.1 kcal kg−1 FFM day−1) athletes (p < 0.001). From all analyzed days, LEA occurred in 73% of the days in female athletes and in 30% of the days in male athletes. EB was positive in male athletes (+169.1 ± 304.5 kcal) and negative (−288.9 ± 304.8 kcal) in female athletes. Conclusions: A higher prevalence of LEA was found in female compared to male athletes. A higher energy intake would be recommended to meet energy needs and to maximize training adaptation.

scholarly journals AKTIVITAS FISIK, ASUPAN ENERGI DAN STATUS GIZI WANITA PEMETIK TEH DI PTPN VIII BANDUNG, JAWA BARAT

2008 ◽  
Vol 3 (2) ◽  
pp. 79
Author(s):  
Venny Agustiani Mahardikawati ◽  
Katrin Roosita
Keyword(s):  
Physical Activity ◽  
Women Workers ◽  
Energy Expenditure ◽  
Nutritional Status ◽  
Physical Activity Level ◽  
Activity Level ◽  
Font Size ◽  
Tea Plantation ◽  
Activity Energy ◽  
Status Of Women

<p class="MsoTitle" style="margin: 0cm 13.05pt 6pt 17.85pt; text-align: justify; text-indent: 26.95pt;"><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">Quality of human resources is very important to improve productivity. The worker productivity is correlated with nutritional status and health status. The objective of the research is to analyze physical activity, energy intake</span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">, nutritional status, of women workers at Tea Plantation PTPN VIII Bandung, West Java.</span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us"> The cross sectional design was used in this study to elaborate physical activity, nutritional status, and productivity of tea picker’s women. The criteria of study sample were tea picker’s women at cluster area of Malabar tea plantation of PTPN VIII Bandung, having infant and they were willing to be interviewed. The total number of 92 women sample was chosen randomly. Primary data consisted of physical activity recall (2x24 hours), food consumption <span>recall</span> (2x24 hours), anthropometry data (weight and height), and productivity (passage of tea sprout). Secondary data were included data of PT Perkebunan Nusantara VIII Bandung, West Java. The result showed that more than a half of samples having active or moderate physical activity level (PAL). The physical activity level of samples during work day (average PAL=1.87) was higher than holiday (average PAL=1.69) (p&lt;0.05). The physical activity was related to energy expenditure. According to Schofield equation, energy expenditure of sample during workday (average=2362 kcal) was significantly higher (p&lt;0.05) than day off (average=2134 kcal). This result is related to Oxford equation, energy expenditure of sample during workday (average=2223 kcal) was significantly higher than holiday (average=2011 kcal). The related factors of energy expenditure are body weight and age. Energy intake on workday and day off were respectively </span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">2362 kcal and 2134 kcal</span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">. The average energy adequacy level during workday and day off according to Schofield and Oxford equation were </span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">not significantly different</span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">, respectively </span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">97,2% and 103,3%. </span></em><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">The majority of samples had normal nutritional status, and 30.4% of the sample was overweight. The energy adequacy level according to Schofield and Oxford equation are related to nutritional status of women workers. </span></em><em></em></p><strong><em><span style="font-size: 10pt;">Keywords: </span></em></strong><em><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">physical activity, energy expenditure, nutritional status, plantation <span>women</span></span></em>

Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults

2008 ◽  
Vol 33 (6) ◽  
pp. 1155-1164 ◽  
Author(s):  
Mark G. Abel ◽  
James C. Hannon ◽  
Katie Sell ◽  
Tia Lillie ◽  
Geri Conlin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Walking Speed ◽  
Treadmill Walking ◽  
Activity Monitors ◽  
Step Counts ◽  
Equation Analysis ◽  
Walking Speeds ◽  
Activity Energy

Accelerometer-based activity monitors are commonly used by researchers and clinicians to assess physical activity. Recently, the Kenz Lifecorder EX (KL) and ActiGraph GT1M (AG) accelerometers have been made commercially available, but there is limited research on the validity of these devices. Therefore, we sought to validate step count, activity energy expenditure (EE), and total EE output from the KL and AG during treadmill walking and running. Ten male and 10 female participants performed 10 min treadmill walking and running trials, at speeds of 54, 80, 107, 134, 161, and 188 m·min–1. Step counts were hand tallied by 2 observers, and indirect calorimetry was used to validate the accelerometers’ estimates of EE. AG total EE was calculated using the Freedson equation. Analysis of variance (ANOVA) and Pearson’s correlations were used to analyze the data. At the slowest walking speed, the AG and KL counted 64% ± 15% and 92% ± 6% of the observed steps, respectively. At all other treadmill speeds, both activity monitors undercounted, compared with observed steps, by ≤3%. The KL underestimated activity EE at faster running speeds (p < 0.01), overestimated total EE at some walking speeds, and underestimated total EE at some running speeds (p < 0.01). The Freedson equation inaccurately measured total EE at most walking and running speeds. The KL and the AG are moderately priced accelerometers that provide researchers and clinicians with accurate estimates of step counts and activity EE at most walking and running speeds.

Physical activity, energy intake, and obesity prevalence among urban and rural schoolchildren aged 11–12 years in Japan

2012 ◽  
Vol 37 (6) ◽  
pp. 1189-1199 ◽  
Author(s):  
Aya Itoi ◽  
Yosuke Yamada ◽  
Yoshiyuki Watanabe ◽  
Misaka Kimura
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Urban Children ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Obesity Prevalence ◽  
Food Records ◽  
Childhood Overweight And Obesity ◽  
Walking To School ◽  
Activity Energy

The prevalence of childhood overweight and obesity has been shown to differ among regions, including rural–urban regional differences within nations. This study obtained simultaneous accelerometry-derived physical activity, 24 h activity, and food records to clarify the potential contributing factors to rural–urban differences in childhood overweight and obesity in Japan. Sixth-grade children (n = 227, 11–12 years old) from two urban elementary schools in Kyoto and four rural elementary schools in Tohoku participated in the study. The children were instructed to wear a pedometer that included a uniaxial accelerometer and, assisted by their parents, keep minute-by-minute 24 h activity and food records. For 12 children, the total energy expenditure was measured by the doubly labeled water method that was used to correct the Lifecorder-predicted activity energy expenditure and physical activity level. The overweight and obesity prevalence was significantly higher in rural than in urban children. The number of steps per day, activity energy expenditure, physical activity level, and duration of walking to school were significantly lower in rural than in urban children. In contrast, the reported energy intake did not differ significantly between the regions. The physical activity and duration of the walk to school were significantly correlated with body mass index. Rural children had a higher prevalence of overweight and obesity, and this may be at least partly caused by lower physical activity, especially less time spent walking to school, than urban children.

scholarly journals Secular trends in under-reporting in young people

2005 ◽  
Vol 93 (2) ◽  
pp. 241-247 ◽  
Author(s):  
K. L. Rennie ◽  
S. A. Jebb ◽  
A. Wright ◽  
W. A. Coward
Keyword(s):  
Young People ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Activity Level ◽  
Energy Requirements ◽  
Activity Levels ◽  
Nutrition Survey ◽  
Energy Needs ◽  
Dietary Records ◽  
Prevalence Of Obesity

National survey data show that reported energy intake has decreased in recent decades despite a rise in the prevalence of obesity. This disparity may be due to a secular increase in under-reporting or a quantitatively greater decrease in energy expenditure. This study examines the extent of under-reporting of energy intake in the National Diet and Nutrition Survey (NDNS) in young people aged 4–18 years in 1997 using published equations to calculate estimated energy requirements. It explores secular changes by comparison with the Diets of British School Children (DBSC) survey in 10–11- and 14–15-year-olds in 1983. In the NDNS, under-reporting (estimated energy requirements – energy intake) represented 21 % of energy needs in girls and 20 % in boys. The magnitude of under-reporting increased significantly with age (P<0·001) and was higher in overweight than lean individuals over 7 years of age. To compare reported energy intake in DBSC and NDNS, the estimated physical activity level from dietary records (dPAL=reported energy intake/predicted BMR) was calculated. If there were no under-reporting, dPAL would represent the subject's true activity level. However, dPAL from the NDNS was significantly lower than that from the DBSC by 8 % and 9 % in boys and girls for those aged 10–11 years, and by 14 % and 11 % for 14–15-year-olds respectively, reaching physiologically implausible levels in the 14–15-year-old girls (dPAL=1·17). If activity levels have remained constant between the two surveys, under-reporting has increased by 8–14 %. The evidence supports a secular trend towards increased under-reporting between the two surveys, but the precise magnitude cannot be quantified in the absence of historical measures of energy expenditure.

scholarly journals Assessment of Specificity of the Badcamp Agility Test for Badminton Players

2017 ◽  
Vol 57 (1) ◽  
pp. 191-198
Author(s):  
Luiz de França Bahia Loureiro ◽  
Mário Oliveira Costa Dias ◽  
Felipe Couto Cremasco ◽  
Maicon Guimarães da Silva ◽  
Paulo Barbosa de Freitas
Keyword(s):  
Female Athletes ◽  
Team Sports ◽  
Young Male ◽  
Team Sport ◽  
Track And Field ◽  
Male And Female ◽  
Reliable Test ◽  
Similar Information ◽  
The Difference ◽  
Shuttle Run

AbstractThe Badcamp agility test was created to evaluate agility of badminton players. The Badcamp is a valid and reliable test, however, a doubt about the need for the use of this test exists as simpler tests could provide similar information about agility in badminton players. Thus, the aim of this study was to examine the specificity of the Badcamp, comparing the performance of badminton players and athletes from other sports in the Badcamp and the shuttle run agility test (SRAT). Sixty-four young male and female athletes aged between 14 and 16 years participated in the study. They were divided into 4 groups of 16 according to their sport practices: badminton, tennis, team sport (basketball and volleyball), and track and field. We compared the groups in both tests, the Badcamp and SRAT. The results revealed that the group of badminton players was faster compared to all other groups in the Badcamp. However, in the SRAT there were no differences among groups composed of athletes from open skill sports (e.g., badminton, tennis, and team sports), and a considerable reduction of the difference between badminton players and track and field athletes. Thus, we concluded that the Badcamp test is a specific agility test for badminton players and should be considered in evaluating athletes of this sport modality.

Comparative Validity Assessment of Five Activity Monitors: Does Being a Child Matter?

2007 ◽  
Vol 19 (3) ◽  
pp. 291-309 ◽  
Author(s):  
Michelle R. Stone ◽  
Dale W. Esliger ◽  
Mark S. Tremblay
Keyword(s):  
Energy Expenditure ◽  
Activity Monitor ◽  
Predictor Variables ◽  
Physical Activity Energy Expenditure ◽  
Leg Length ◽  
Activity Monitors ◽  
Validity Assessment ◽  
Measured Energy ◽  
All Speeds ◽  
Activity Energy

The purpose of this study was to determine the effects of age and leg length on the energy-expenditure predictions of five activity monitors. Participants (N = 86, ages 8–40 years) performed three progressive bouts of treadmill activity ranging from 4 to 12 km/hr. Differences between measured energy expenditure (VO2) and activity-monitor-predicted energy expenditure were assessed across five leg length categories to determine the influence of leg length. Accelerometer counts or pedometer steps along with age, weight, and leg length accounted for 85–94% of measured energy expenditure. The addition of age and leg length as predictor variables explained a larger amount of variance in energy expenditure across all speeds. Differences in leg length and age might affect activity-monitor validity and, therefore, should be controlled for when estimating physical activity energy expenditure.

scholarly journals Exercise, energy expenditure and energy balance, as measured with doubly labelled water

2017 ◽  
Vol 77 (1) ◽  
pp. 4-10 ◽  
Author(s):  
Klaas R. Westerterp
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Extreme Environments ◽  
Elimination Rate ◽  
Activity Level ◽  
Additional Energy ◽  
Doubly Labelled Water ◽  
Exercise Induced ◽  
Activity Energy

The doubly labelled water method for the measurement of total daily energy expenditure (TDEE) over 1–3 weeks under daily living conditions is the indicated method to study effects of exercise and extreme environments on energy balance. Subjects consume a measured amount of doubly labelled water (2H218O) to increase background enrichment of body water for 18O and 2H, and the subsequent difference in elimination rate between 18O and 2H, as measured in urine, saliva or blood samples, is a measure for carbon dioxide production and thus allows calculation of TDEE. The present review describes research showing that physical activity level (PAL), calculated as TDEE (assessed with doubly labelled water) divided by resting energy expenditure (REE, PAL = TDEE/REE), reaches a maximum value of 2·00–2·40 in subjects with a vigorously active lifestyle. Higher PAL values, while maintaining energy balance, are observed in professional athletes consuming additional energy dense foods to compete at top level. Exercise training can increase TDEE/REE in young adults to a value of 2·00–2·40, when energy intake is unrestricted. Furthermore, the review shows an exercise induced increase in activity energy expenditure can be compensated by a reduction in REE and by a reduction in non-exercise physical activity, especially at a negative energy balance. Additionally, in untrained subjects, an exercise-induced increase in activity energy expenditure is compensated by a training-induced increase in exercise efficiency.

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