scholarly journals Changes in Body Composition, Energy Expenditure, and Energy Intake during Four Years of University—A Follow-Up Study

2021 ◽  
Vol 18 (8) ◽  
pp. 3990
Author(s):  
Shai Olansky ◽  
Kayleigh M. Beaudry ◽  
Stacey Woods ◽  
Erin Barbour-Tuck ◽  
Kimberley L. Gammage ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Body Mass ◽  
Fat Mass ◽  
Dietary Energy ◽  
Fat Percentage ◽  
Daily Energy ◽  
Lifestyle Questionnaire

Purpose: The transition to university is often accompanied by the adoption of negative lifestyle habits, which may result in weight and fat gain. While this has been demonstrated during 1st year, little is known about subsequent years. We investigated changes in body composition, energy expenditure, and dietary/energy intake from 1st to 4th year university. Methods: Thirty-eight students (14 males, 24 females) completed a lifestyle questionnaire and had their body mass, fat mass, lean body mass (LBM), and body fat percentage (%BF) measured three times: at the beginning and end of 1st year, and end of 4th year. Results: During 1st year, body mass, fat mass, LBM, and %BF increased (+3.2 ± 3.8 kg, +2.5 ± 3.0 kg, +0.7 ± 2.1 kg, +2.3 ± 4.9%, respectively; p < 0.01), while daily energy intake and expenditure decreased (−359 ± 1019 kcal·d−1 and −434 ± 786 kcal·d−1, respectively; p < 0.01). Between the end of 1st year and end of 4th year, body mass, LBM, and energy expenditure increased (+3.2 ± 3.8 kg, +1.3 ± 2.9 kg, +209 ± 703 kcal·d−1, respectively; p ≤ 0.05), while %BF, fat mass, and energy intake did not change. Conclusions: Although %BF and fat mass remained stable from the end of 1st year to the end of 4th year in this group of university students, the positive increase in energy expenditure was not enough to reverse the weight and fat gained during 1st year.

Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  
Keyword(s):  
Body Composition ◽  
Whey Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Soy Protein ◽  
Protein Supplementation ◽  
Body Fat Percentage ◽  
Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

scholarly journals Early Metabolic Benefits of Switching Hydrocortisone to Modified Release Hydrocortisone in Adult Adrenal Insufficiency

2021 ◽  
Vol 12 ◽  
Author(s):  
Christopher A. M. Bannon ◽  
Daniel Border ◽  
Petra Hanson ◽  
John Hattersley ◽  
Martin O. Weickert ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Adrenal Insufficiency ◽  
Fat Mass ◽  
Research Unit ◽  
Metabolic Effects ◽  
P Value ◽  
Modified Release ◽  
University Hospitals ◽  
Fat Percentage

PurposeTo compare metabolic effects of modified release hydrocortisone (MR-HC) with standard hydrocortisone (HC) therapies in adults with Adrenal Insufficiency (AI).MethodsAdult patients (n = 12) with AI, established on HC therapy, were recruited from Endocrinology clinics at University Hospitals Coventry and Warwickshire (UHCW), UK. Baseline (HC) metabolic assessments included fasting serum HbA1C, lipid and thyroid profiles, accurate measures of body composition (BodPod), and 24-h continuous measures of energy expenditure including Sleeping Metabolic Rate (SMR) using indirect calorimetry within the Human Metabolism Research Unit, UHCW. All participants then switched HC to MR-HC with repeat (MR-HC) metabolic assessments at 3 months. Paired-sample t-tests were used for data comparisons between HC and MR-HC assessments: P-value &lt;0.05 was considered significant.ResultsFollowing exclusion of 2 participants, analyses were based on 10 participants. Compared with baseline HC data, following 3 months of MR-HC therapy mean fat mass reduced significantly by −3.2 kg (95% CI: −6.0 to −0.4). Mean (SD) baseline HC fat mass vs repeat MR-HC fat mass: 31.9 kg (15.2) vs 28.7 kg (12.8) respectively, P = 0.03. Mean SMR increased significantly by +77 kcal/24 h (95% CI: 10–146). Mean (SD) baseline HC SMR vs repeat MR-HC SMR: 1,517 kcal/24 h (301) vs 1,594 kcal/24 h (344) respectively, P = 0.03. Mean body fat percentage reduced significantly by −3.4% (95% CI: −6.5 to −0.2). Other measures of body composition, energy expenditure, and biochemical analytes were equivalent between HC and MR-HC assessments.ConclusionsIn adults with AI, switching from standard HC to MR-HC associates with early metabolic benefits of reduced fat mass and increased SMR.

scholarly journals Body composition and appetite: fat-free mass (but not fat mass or BMI) is positively associated with self-determined meal size and daily energy intake in humans

2011 ◽  
Vol 107 (3) ◽  
pp. 445-449 ◽  
Author(s):  
John E. Blundell ◽  
Phillipa Caudwell ◽  
Catherine Gibbons ◽  
Mark Hopkins ◽  
Erik Näslund ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Food Intake ◽  
Energy Intake ◽  
Fat Mass ◽  
Meal Size ◽  
Fat Free Mass ◽  
Daily Energy Intake ◽  
Molecular Control ◽  
Daily Energy

The idea of body weight regulation implies that a biological mechanism exerts control over energy expenditure and food intake. This is a central tenet of energy homeostasis. However, the source and identity of the controlling mechanism have not been identified, although it is often presumed to be some long-acting signal related to body fat, such as leptin. Using a comprehensive experimental platform, we have investigated the relationship between biological and behavioural variables in two separate studies over a 12-week intervention period in obese adults (totaln92). All variables have been measured objectively and with a similar degree of scientific control and precision, including anthropometric factors, body composition, RMR and accumulative energy consumed at individual meals across the whole day. Results showed that meal size and daily energy intake (EI) were significantly correlated with fat-free mass (FFM,Pvalues < 0·02–0·05) but not with fat mass (FM) or BMI (Pvalues 0·11–0·45) (study 1,n58). In study 2 (n34), FFM (but not FM or BMI) predicted meal size and daily EI under two distinct dietary conditions (high-fat and low-fat). These data appear to indicate that, under these circumstances, some signal associated with lean mass (but not FM) exerts a determining effect over self-selected food consumption. This signal may be postulated to interact with a separate class of signals generated by FM. This finding may have implications for investigations of the molecular control of food intake and body weight and for the management of obesity.

scholarly journals Higher Usual Energy Intake, Body Mass, Body Mass Index, and Fat Free Mass Index Are Associated with Lower Attrition from an Arduous Military Selection Course (P23-005-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Emily Farina ◽  
Lauren Thompson ◽  
Joseph Knapik ◽  
Stefan Pasiakos ◽  
James McClung ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Strength Training ◽  
Aerobic Exercise ◽  
Energy Intake ◽  
Body Mass ◽  
Fat Mass ◽  
Smokeless Tobacco ◽  
Fat Free Mass ◽  
Energy Deficit

Abstract Objectives To determine whether usual energy intake and body composition are associated with attrition from an arduous military selection course characterized by energy deficit and strenuous physical events, including fitness tests, loaded road marches, runs, land navigation, and an obstacle course. Methods Energy intake and body composition were assessed in U.S. Army Soldiers (n = 776) at the start of a military assessment and selection course. Usual energy intake (kcal) over the previous year was estimated from a 127-item Block food frequency questionnaire. Body composition measures, including body mass (kg), body mass index (BMI, body mass in kg/height in m2), fat free mass index (FFMI, fat free mass in kg/height in m2), and fat mass index (FMI, fat mass in kg/height in m2) were assessed by calibrated scale and 3-site skinfold caliper measures. Associations between energy intake, body composition, and demographics were determined with analysis of variance. Logistic regression was used to determine likelihood of attrition [odds ratio (OR), 95% confidence interval (CI)] based on quartiles of energy intake and body composition. Models were adjusted for age, education, duration of aerobic exercise, duration of strength training, smoking status, and smokeless tobacco use. Results Soldiers that were younger (18–24 y), engaged in longer duration of aerobic exercise (≥200 min/wk) and strength training (≥400 min/wk), had more education (≥some college), and were smokeless tobacco users had higher energy intakes (P < 0.05). Higher energy intake was associated with higher body mass and FFMI (P < 0.05). After adjustment, Soldiers with higher energy intake, body mass, BMI, and FFMI were less likely to fail the strenuous course (Q1 vs. Q2, Q3, and Q4: OR range = 0.25–0.54; 95% CI lower bound range = 0.15–0.33; 95% CI upper bound range = 0.46–0.87). FMI was not associated with attrition. Conclusions Optimization of body composition by adequate consumption of calories prior to a physically demanding military selection course may be associated with reduced attrition. Funding Sources Supported by U.S. Army Medical Research and Materiel Command. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or reflecting the views of the Army or the Department of Defense. Supporting Tables, Images and/or Graphs

Asociación entre la composición corporal y la condición física en estudiantes de grado sexto, pertenecientes a la institución educativa moderna de Tuluá, Colombia año 2019 (Association between body composition and the physical condition in sixth grade st

Retos ◽  
2020 ◽  
pp. 539-546
Author(s):  
Luis Hebert Palma Pulido ◽  
Carlos Hernán Méndez Díaz ◽  
Alfonso Cespedes Manrrique ◽  
Jorge Andrés Castro Mejía ◽  
Alejandro Viveros Restrepo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Physical Condition ◽  
Pearson Correlation ◽  
Sixth Grade ◽  
The Body ◽  
Fat Percentage ◽  
Cardiovascular Capacity

 El siguiente estudio, tuvo como finalidad, determinar la correlación entre la composición corporal y la condición física en niños de sexto grado de la Institución Educativa de Tuluá, Colombia. El estudio fue no experimental, descriptivo y de alcance correlacional. La valoración de la composición corporal, se realizó mediante el índice de masa corporal y el porcentaje de grasa (fórmula de Slaughter y Lohmann). La condición física, se determinó por medio de la batería Fitnessgram. La muestra fue de 193 niños y niñas, entre ocho y 12 años. Los resultados se determinaron, por medio de estadísticos descriptivos y correlación de Pearson. Estos resultados, evidenciaron una r=-0,52 y -0,72 para niño y niña respectivamente, entre el porcentaje de grasa y la capacidad cardiovascular. Las correlaciones entre el índice de masa corporal y peso corporal, con el porcentaje de grasa fueron, r=0,59 niña 0,76 y niño y r=0,46 niña y 0,67 niño respectivamente, indicando que, a mayor masa corporal mayor grasa. La correlación entre masa grasa y el test de barra fija fue inversa, pero no alta, r=-0,23 y -0,24, sin embaro, cuando este test se correlacionó con el índice de masa corporal, dicha correlación fue mayor, r=-0,57 y -0,78, reflejando que, la masa corporal, afectó la resistencia en la barra. La flexibilidad y agilidad, no se alteraron por la masa grasa, r < 0,20. Como conclusión, se evidencia que, la masa grasa puede disminuir la capacidad cardiovascular y resistencia a la fuerza, sin embargo, la flexibilidad y la velocidad-agilidad pueden no alterarse.  Abstract. The following study aimed at determining the correlation between body composition and physical condition in sixth grade students from the high school Institución Educativa Moderna in Tuluá, Colombia. It was carried as a non-experimental, descriptive, and correlational study. The assessment of body composition was carried out using the body mass index and the fat percentage based on Slaughter and Lohmann formula. Physical condition was determined by using the Fitnessgram battery. The sample consisted of 193 boys and girls, around eight and 12 years old. The results were determined by means of descriptive statistics and Pearson correlation. These results showed r = -0.52 and -0.72 for boys and girls respectively, after correlating the percentage of fat and cardiovascular capacity. The correlation of their body mass index and their body weight, towards the percentage of fat were: r = 0.59 girl, 0.76 boy and r = 0.46 girl and 0.67 boy respectively, indicating that, the higher the body mass the higher the increase of fat. The correlation between fat mass and the fixed bar test was inverse, but not high: r = -0.23 and -0.24. However, when this test was correlated with the body mass index, that correlation was higher: r = -0.57 and -0.78, reflecting that the body mass affected the resistance at the bar. Flexibility and agility were not altered by fat mass: r <0.20. In conclusion, it is evidenced that fat mass can decrease cardiovascular capacity and resistance to strength, however, flexibility and speed-agility may not be altered.

One- and two-year change in body composition as measured by DXA in a population-based cohort of older men and women

2003 ◽  
Vol 94 (6) ◽  
pp. 2368-2374 ◽  
Author(s):  
Marjolein Visser ◽  
Marco Pahor ◽  
Frances Tylavsky ◽  
Stephen B. Kritchevsky ◽  
Jane A. Cauley ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Population Based ◽  
Fat Free Mass ◽  
Simultaneous Increase ◽  
Total Body Mass ◽  
Men And Women ◽  
Total Body

Changing body composition has been suggested as a pathway to explain age-related functional decline. No data are available on the expected changes in body composition as measured by dual-energy X-ray absorptiometry (DXA) in a population-based cohort of older persons. Body composition data at baseline, 1-yr follow-up, and 2-yr follow-up was measured by DXA in 2,040 well-functioning black and white men and women aged 70–79 yr, participants of the Health, Aging, and Body Composition Study. After 2 yr, a small decline in total body mass was observed (men: −0.3%, women: −0.4%). Among men, fat-free mass and appendicular lean soft tissue mass (ALST) decreased by −1.1 and −0.8%, respectively, which was masked by a simultaneous increase in total fat mass (+2.0%). Among women, a decline in fat-free mass was observed after 2 yr only (−0.6%) with no change in ALST and body fat mass. After 2 yr, the decline in ALST was greater in blacks than whites. Change in total body mass was associated with change in ALST ( r = +0.58 to +0.70; P < 0.0001). Among participants who lost total body mass, men lost relatively more ALST than women, and blacks lost relatively more ALST than whites. In conclusion, the mean change in body composition after a 1- to 2-yr follow-up was 1–2% with a high interindividual variability. Loss of ALST was greater in men compared with women, and greater in blacks compared with whites, suggesting that men and blacks may be more prone to muscle loss.

Dietary Energy Density is Associated with Body Mass Index and Fat Mass in Early Adulthood

2019 ◽  
pp. 105477381988319
Author(s):  
María Correa-Rodríguez ◽  
Emilio González-Jiménez ◽  
Ángel Fernández-Aparicio ◽  
Jose Luis Gómez-Urquiza ◽  
Jacqueline Schmidt-RioValle ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Energy Density ◽  
Body Mass ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Dietary Energy ◽  
Mass Percent ◽  
Dietary Energy Density

A cross-sectional study was conducted to investigate the association between body composition parameters as well as body mass index (BMI), and dietary energy density in a population of 538 young adults. Fat mass, fat mass percent, fat-free mass, and visceral fat were measured using a body composition analyzer. Daily energy intake was assessed using a 72-hr diet recall, and dietary energy density was calculated. Significant differences in dietary energy density among underweight, normal-weight and overweight/obesity young adults were identified ( M = 1.42, SD = 0.26 vs. M = 1.52, SD = 0.46 vs. M = 1.66, SD = 0.53, p = .002). Dietary energy density was associated with BMI (β = .961; CI 95% = 0.335, 1.586; p = .0030), fat mass percent (β = 1.921; CI 95% = 0.707, 3.135; p = .002), and fat mass (β = 2.146; CI 95% = 0.827, 3.466; p = .001). Dietary energy density might be considered as an important aspect in the obesity nutritional education programs in young people.

scholarly journals Sprint interval and moderate-intensity cycling training differentially affect adiposity and aerobic capacity in overweight young-adult women

2016 ◽  
Vol 41 (11) ◽  
pp. 1177-1183 ◽  
Author(s):  
Simon Higgins ◽  
Michael V. Fedewa ◽  
Elizabeth D. Hathaway ◽  
Michael D. Schmidt ◽  
Ellen M. Evans
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Body Mass ◽  
Young Women ◽  
Fat Mass ◽  
Aerobic Capacity ◽  
Moderate Intensity ◽  
Similar Amount ◽  
Adult Women ◽  
Active Recovery

The purpose of the study was to examine the effects of sprint interval training (SIT) and moderate-intensity continuous cycle training (MICT), with equal estimated energy expenditure during training on body composition and aerobic capacity. Body composition measured via dual-energy X-ray absorptiometry and aerobic capacity were assessed following 6 weeks of training in previously inactive overweight/obese young women (n = 52; age, 20.4 ± 1.5 years; body mass index, 30.3 ± 4.5 kg·m−2, 67.3% white). Training was performed in a group-exercise format that mimicked cycling classes offered by commercial fitness facilities, and included 3 weekly sessions of either 30-s “all-out” sprints followed by 4 min of active recovery (SIT), or continuous cycling at 60%–70% heart rate reserve to expend a similar amount of energy. Participants were randomized to SIT or MICT, attended a similar number of sessions (15.0 ± 1.5 sessions vs. 15.8 ± 1.9 sessions, P = 0.097) and expended a similar amount of energy (541.8 ± 104.6 kJ·session−1 vs. 553.5 ± 138.1 kJ·session−1, P = 0.250). Without significant changes in body mass (P > 0.05), greater relative reductions occurred in SIT than in MICT in total fat mass (3.6% ± 5.6% vs. 0.6% ± 3.9%, P = 0.007), and android fat mass (6.6% ± 6.9% vs. 0.7% ± 6.5%, P = 0.002). Aerobic capacity (mL·kg−1·min−1) increased significantly following both interventions (P < 0.05), but the relative increase was 2-fold greater in SIT than in MICT (14.09% ± 10.31% vs. 7.06% ± 7.81%, P < 0.001). In conclusion, sprint-interval cycling reduces adiposity and increases aerobic capacity more than continuous moderate-intensity cycling of equal estimated energy expenditure in overweight/obese young women.

Energy Balance and Luteal Phase Progesterone Levels in Elite Adolescent Aesthetic Athletes

2002 ◽  
Vol 12 (1) ◽  
pp. 93-104 ◽  
Author(s):  
Karen J. Reading ◽  
Linda J. McCargar ◽  
Vicki J. Harber
Keyword(s):  
Body Composition ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Luteal Phase ◽  
Negative Energy ◽  
Dietary Energy ◽  
Pubertal Maturation ◽  
Dietary Energy Intake ◽  
Age Of Menarche

Menstrual abnormalities are associated with negative energy balance and reduced energy expenditure (REE). To examine this relationship in elite adolescent aesthetic athletes, 3 groups of females (aged 15-18 years) were studied: 10 oligo/amenorrheic athletes (OA), 11 eumenorrheic athletes (EA), and 8 non-athlete controls (C). Components of energy balance, body composition, dietary restraint, pubertal maturation, and luteal phase salivary progesterone were assessed in all groups. Both groups of athletes had a later age of menarche and lowerpubertal development score compared to the non-athletes (p < .05). With the exception of salivary progesterone (ng/ml; OA = 0.15±0.01 <EA = 0.29± 0.1 and C = 0.30 ± 0.13, /p = .007), there were no differences between the athlete groups. Energy balance (kcal/d) in the OA group was lower (−290 ± 677) compared to either EA (−5±461) or C (179 ± 592) but did not reach significance (p = .24). Dietary energy intake and absolute REE (kcal/d) were not different among groups, despite detectable differences in reproductive status, and thus could not be attributed to differences in energy balance or REE.

scholarly journals Improvement in body composition of adult postbariatric surgery patients at one-year follow-up at a public hospital in United Arab Emirates

2021 ◽  
Vol 27 (3) ◽  
Author(s):  
Amita Attlee ◽  
◽  
Hayder Hasab ◽  
Latefa Mohammed Rashed ◽  
Muna Al-Haway ◽  
...  
Keyword(s):  
Body Composition ◽  
Lean Body Mass ◽  
Body Mass ◽  
United Arab Emirates ◽  
Fat Mass ◽  
Public Hospital ◽  
Postoperative Changes ◽  
One Year ◽  
The One

Background: Data on postoperative follow-ups and bariatric surgery (BS) outcomes performed in the United Arab Emirates (UAE) are crucial for registry. This study assessed the one-year postoperative changes in body composition and metabolic profiles in BS patients. Methods: The medical and dietetics records of 51 adult patients who underwent BS in the largest public hospital in Sharjah, UAE were reviewed. Data on body weight and composition, as well as metabolic profile (blood glucose and lipid levels) from the initial until the last hospital visit were recorded. Results: The median (interquartile range) follow-up period was 6.0 (8.0) months. The patients had significant total weight loss [19.3 (12.6)%] and reduction in body mass index (BMI) [18.0 (13.6)%] of approximately 7 BMI points. Moreover, the patients’ body composition improved significantly; loss was the highest in fat mass [–30.9 (22.1)%] and the least in lean body mass [–8.6 (8.4)%]. There was a steady decline in all body composition variables with a longer duration of follow-up visits from 1–3 months to 10–12 months. The fat mass (–40.3%):lean body mass (–10.7%) loss ratio was 3.8:1 at 10–12 months. The patients’ metabolic status was normal during the last postoperative visit. Conclusions: Incremental improvements in body composition of patients were evident with longer follow-up visits up to one year after BS. Hence, patients should attend regular follow-up visits after BS. Moreover, accurate and complete documentations of medical and dietetics visits are mandated.

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