Gender Differences in Physical Activity, Sedentary Behavior, and Their Relation to Body Composition in Active Brazilian Adolescents

2009 ◽  
Vol 6 (1) ◽  
pp. 93-98 ◽  
Author(s):  
Julia Aparecida Devide Nogueira ◽  
Teresa Helena Macedo da Costa
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Body Weight ◽  
Sedentary Behavior ◽  
Fat Mass ◽  
Skinfold Thickness ◽  
Activity Level ◽  
Fat Free Mass ◽  
Daily Activities ◽  
Physically Active

Background:Body weight and composition are determined by genotype, environment, and energy balance. Physical activity or sedentary behavior have different associations with body weight, fat mass, and fat-free mass, a relationship that is not clear in adolescents. The aim of this study was to test the associations between gender, physical activity, sedentary behavior, and body composition in physically active adolescents.Methods:Weight, height, and skinfold thickness were measured in 326 physically active boys and girls age 11 to 15 years. All subjects answered a questionnaire assessing their usual daily activities for the last month. Time spent on each activity was used to estimate the physical activity level (PAL).Results:PAL was associated with body composition after adjustment for age and maturation, with differences between genders. For boys, PAL was positively and significantly associated with body mass index (BMI) and fat-free mass index (β= 0.14 and 0.15, respectively). For girls, PAL was negatively and significantly associated with BMI and fat mass index (β= −0.11 and −0.75, respectively). Sedentary behavior, expressed by hours of TV, videogame, and computer use, was not associated with any body-composition outcome for either gender.Conclusion:The accumulated amount of physical activity, but not of sedentary behavior, was related to body composition in active adolescents.

scholarly journals Influence of habitual physical activity on gastric emptying in healthy males and relationships with body composition and energy expenditure

2015 ◽  
Vol 114 (3) ◽  
pp. 489-496 ◽  
Author(s):  
Katy M. Horner ◽  
Nuala M. Byrne ◽  
Geoffrey J. Cleghorn ◽  
Neil A. King
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Gastric Emptying ◽  
Energy Expenditure ◽  
Fat Mass ◽  
Physical Activity Level ◽  
Activity Level ◽  
Habitual Physical Activity ◽  
Fat Free Mass ◽  
Lower Percentage

Although a number of studies have examined the role of gastric emptying (GE) in obesity, the influences of habitual physical activity level, body composition and energy expenditure (EE) on GE have received very little consideration. In the present study, we compared GE in active and inactive males, and characterised relationships with body composition (fat mass and fat-free mass) and EE. A total of forty-four males (activen22, inactiven22; BMI 21–36 kg/m2; percentage of fat mass 9–42 %) were studied, with GE of a standardised (1676 kJ) pancake meal being assessed by the [13C]octanoic acid breath test, body composition by air displacement plethysmography, RMR by indirect calorimetry, and activity EE (AEE) by accelerometry. The results showed that GE was faster in active compared with inactive males (mean half-time (t1/2): active 157 (sd18) and inactive 179 (sd21) min,P< 0·001). When data from both groups were pooled, GEt1/2was associated with percentage of fat mass (r0·39,P< 0·01) and AEE (r− 0·46,P< 0·01). After controlling for habitual physical activity status, the association between AEE and GE remained, but not that for percentage of fat mass and GE. BMI and RMR were not associated with GE. In summary, faster GE is considered to be a marker of a habitually active lifestyle in males, and is associated with a higher AEE level and a lower percentage of fat mass. The possibility that GE contributes to a gross physiological regulation (or dysregulation) of food intake with physical activity level deserves further investigation.

scholarly journals Comparisons of a Multi-Frequency Bioelectrical Impedance Analysis to the Dual-Energy X-Ray Absorptiometry Scan in Healthy Young Adults Depending on their Physical Activity Level

2015 ◽  
Vol 47 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Julien Verney ◽  
Chloé Schwartz ◽  
Saliha Amiche ◽  
Bruno Pereira ◽  
David Thivel
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Composition ◽  
Fat Mass ◽  
Physical Activity Level ◽  
Bioelectrical Impedance ◽  
Dual Energy ◽  
Activity Level ◽  
Fat Free Mass ◽  
X Ray

AbstractThis study aimed at comparing BIA and DXA results in assessing body composition in young adults depending on their physical activity level. Eighty healthy 19-30 years old subjects were enrolled and their body composition (Fat Mass and Fat-Free Mass) was assessed by dual-energy X-ray absorptiometry (DXA) and by a newly developed Bioelectrical Impedance Analyzer (BIA - Tanita MC780). A seven-day physical activity level was assessed using a 3-axial accelerometer. DXA-FM% and BIA-FM% were correlated (p<0.001; r= 0.852; ICC [IC95%]: 0.84 [0.75 – 0.90]; concordance coefficient: 0.844). DXA-FFM and BIA FFM were correlated (p<0.001; r=0.976; ICC [IC95%]: 0.95 [0.93 – 0.97], concordance coefficient: 0.955). DXA and BIA measurements of FM% and FFM were highly correlated in both boys and girls regardless of the physical activity level. Compared with DXA scans, newly developed bioelectrical impedance analyzers provide satisfactory fat mass and lean mass measures in healthy young women and men, despite their physical activity level.

scholarly journals Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations

2019 ◽  
Vol 110 (2) ◽  
pp. 367-376 ◽  
Author(s):  
Sarah A Purcell ◽  
Sarah A Elliott ◽  
Peter J Walter ◽  
Tom Preston ◽  
Hongyi Cai ◽  
...  
Keyword(s):  
Physical Activity ◽  
Colorectal Cancer ◽  
Body Composition ◽  
Body Weight ◽  
Energy Expenditure ◽  
Total Energy ◽  
Residual Activity ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Fat Free Mass

ABSTRACT Background Total energy expenditure (TEE) data in patients with early-stage cancer are scarce, precluding an understanding of energy requirements. Objective The objective was to cross-sectionally characterize TEE in patients with colorectal cancer (CRC) and to compare measured TEE with energy recommendations. It was hypothesized that TEE would differ according to body mass, body composition, and physical activity level (PAL) and current energy recommendations would have poor individual-level accuracy. Methods Patients with newly diagnosed CRC had resting energy expenditure (REE) measured by indirect calorimetry and TEE by doubly labeled water. Hypermetabolism was defined as REE &gt; 110% of that predicted from the Mifflin St.-Jeor equation. Body composition was assessed via DXA. Physical activity was determined as the ratio of TEE to REE (TEE:REE) (PAL) and residual activity energy expenditure (RAEE). TEE was compared with energy recommendations of 25–30 kcal/d and Dietary Reference Intakes (DRIs) using Bland–Altman analyses. Patients were stratified according to median BMI, PAL, and sex-specific ratio of fat mass (FM) to fat-free mass (FFM). Results Twenty-one patients (M:F 14:7; mean ± SD BMI: 28.3 ± 4.9 kg/m2, age: 57 ± 12 y) were included. Most (n = 20) had stage II–III disease; 1 had stage IV. Approximately half (n = 11) were hypermetabolic; TEE was not different in those with hypermetabolism and REE as a percentage of predicted was not correlated with TEE. Mean ± SD TEE was 2473 ± 499 kcal/d (range: 1562–3622 kcal/d), or 29.7 ± 6.3 kcal/kg body weight (range: 20.4–48.5 kcal/kg body weight). Mean ± SD PAL was 1.43 ± 0.27. The energy recommendation of 25 kcal/kg underestimated TEE (−12.6% ± 16.5%, P = 0.002); all energy recommendations had wide limits of agreement (the smallest was DRI with measured PAL: −21.2% to 29.3%). Patients with higher BMI and FM:FFM had higher bias using kilocalories per kilogram recommendations; bias from several recommendations was frequently lower (i.e. underestimation) in patients with higher PAL and RAEE. Conclusions TEE variability was not reflected in energy recommendations and error was related to body weight, body composition, and physical activity. This trial was registered at clinicaltrials.gov as NCT03131921.

scholarly journals Evolution of body composition following successful kidney transplantation is strongly influenced by physical activity: results of the CORPOS study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Karine Moreau ◽  
Aurélie Desseix ◽  
Christine Germain ◽  
Pierre Merville ◽  
Lionel Couzi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Kidney Transplantation ◽  
Fat Mass ◽  
Physical Activity Level ◽  
Cell Mass ◽  
Activity Level ◽  
Fat Free Mass ◽  
Body Cell Mass ◽  
Body Cell

Abstract Background Weight gain (mainly gain of fat mass) occurs quickly after successful kidney transplantation and is associated with metabolic complications (alterations of glycaemic control, hyperlipidaemia). Determinants of weight gain are multifactorial and are mainly related to the transplant procedure itself (glucocorticoid use, increased appetite). In the modern era of transplantation, one challenge is to limit these metabolic alterations by promoting gain of muscle mass rather than fat mass. This prospective study was performed to assess determinants of fat mass, fat-free mass and body cell mass changes after kidney transplantation with a focus on physical activity and nutritional behaviour before and after transplantation. Methods Patients were included at the time of listing for deceased donor kidney transplantation. Body composition was determined using dual X-ray absorptiometry and bioimpedance spectroscopy to assess fat mass, fat-free mass and body cell mass (= fat-free mass − extracellular water) at the time of inclusion, 12 months later, and 1, 6, 12 and 24 months after transplantation. Recall dietary data and physical activity level were also collected. Results Eighty patients were included between 2007 and 2010. Sixty-five had a complete 24-month follow-up after kidney transplantation. Fat mass, fat-free mass and body cell mass decreased during the waiting period and early after kidney transplantation. The nadirs of body cell mass and fat-free mass occurred at 1 month and the nadir for fat mass occurred at 6 months. Maximum levels of all parameters of body composition were seen at 12 months, after which body cell mass and fat-free mass decreased, while fat mass remained stable. In multivariate analysis, male recipients, higher physical activity level and lower corticosteroid dose were significantly associated with better body cell mass recovery after kidney transplantation. Conclusions Lifestyle factors, such as physical activity level, together with low dose of corticosteroids seem to influence body composition evolution following kidney transplantation with recovery of body cell mass. Specific strategies to promote physical activity in kidney transplant recipients should be provided before and after kidney transplantation.

Contribution of body composition and physical activity to age-related decline in peak VO2 in men and women

1994 ◽  
Vol 77 (2) ◽  
pp. 647-652 ◽  
Author(s):  
M. J. Toth ◽  
A. W. Gardner ◽  
P. A. Ades ◽  
E. T. Poehlman
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Fat Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Fat Free Mass ◽  
Men And Women ◽  
Peak Vo2 ◽  
Age Related ◽  
Rate Of Decline

We examined the contribution of variations in body composition and leisure time physical activity to the age-related decline in peak oxygen consumption (VO2) in men and women. Healthy males 17–80 yr old (n = 378) and females 18–81 yr old (n = 224) were characterized for peak VO2 from a treadmill test to exhaustion, fat-free mass and fat mass by underwater weighing, and leisure time physical activity. Peak VO2 showed a greater absolute decline (P < 0.05) with age in males (r = -0.70, slope = -0.034 l.min-1.yr-1; P < 0.01) than in females (r = -0.78, slope = -0.028 l.min-1.yr-1; P < 0.01). After statistically controlling for differences in fat-free mass and fat mass, the decline in peak VO2 was diminished in both sexes, although a greater rate of decline persisted in males (r = -0.47, slope = -0.016 l.min-1.yr-1; P < 0.01) than in females (r = -0.39, slope = -0.009 l.min-1.yr-1; P < 0.01). We found that the addition of leisure time physical activity (independent of body composition) to the regression model further attenuated the rate of decline in males (r = -0.40, slope = -0.013 l.min-1.yr-1; P < 0.01) but did not alter the age-related decline in peak VO2 in females (r = -0.39, slope = -0.009 l.min-1.yr-1; P < 0.01).(ABSTRACT TRUNCATED AT 250 WORDS)

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 PHYSICAL ACTIVITY LEVEL SEDENTARY BEHAVIOR AND SLEEP TIME ASSOCIATED TO BODY COMPOSITION IN ILHABELA SCHOOLCHILDREN

2020 ◽  
Vol 52 (7S) ◽  
pp. 573-573
Author(s):  
Anderson Bastos Lopes ◽  
Luis Carlos de Oliveira ◽  
João Pedro da Siva Junior ◽  
Maurício dos Santos ◽  
Diana Carolina Gonzalez Beltran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Sedentary Behavior ◽  
Physical Activity Level ◽  
Sleep Time ◽  
Activity Level

scholarly journals Higher Physical Activity Level Improves Leptin Concentrations in Spinal Cord Injury Subjects

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ana Paula B. Ramkrapes ◽  
Renata G. Duft ◽  
Ivan L. P. Bonfante ◽  
Keryma C. S. Mateus ◽  
Joice C. S. Trombeta ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
The Body ◽  
Activity Level ◽  
The Other ◽  
Enzyme Linked Immunosorbent Assay ◽  
Physically Active ◽  
Cardiometabolic Disorders ◽  
Cord Injury ◽  
General Physical

The present study was designed to compare the body composition and indicators of chronic inflammatory grade, such as leptin, adiponectin, and resistin concentrations in irregularly active and active SCI subjects. Thirty-two male subjects participated in this study. They were divided into three groups: able-bodied control irregularly active (control, n = 11 ), irregularly active with SCI (SCI-IA, n = 8 ), and physically active with SCI (SCI-PA, n = 13 ). The enzyme-linked immunosorbent assay (ELISA) assessed serum concentrations of leptin, adiponectin, and resistin. All volunteers performed the maximum oxygen uptake (VO2max) test, 24 h total energy expenditure (TEE), and body composition by skinfold thicknesses. Leptin concentrations were higher in the SCI-IA group when compared to the other groups, while no significant differences were found between the SCI-PA and control cohorts. In addition, no significant differences were found among groups for serum adiponectin and resistin concentrations either. The SCI-PA group showed significantly higher values for TEE and VO2max when compared to the other groups. Percentages of body fat and circumference were decreased in the control and SCI-PA groups when compared to the SCI-IA cohort. Associations between leptin and cardiorespiratory capacity and anthropometric markers were also observed. Our findings highlight that the lack of physical activity in the SCI subjects leads to poor general physical fitness and higher levels of body adiposity, which may induce hyperleptinemia, an essential marker for cardiometabolic disorders.

scholarly journals Diferencias en la composición corporal y actividad física en estudiantes universitarios según año de ingreso

2016 ◽  
Vol 18 (3) ◽  
pp. 474
Author(s):  
Fernando Rodriguez Rodriguez ◽  
Mitzi Santibañez Miranda ◽  
Grundy Montupin Rozas ◽  
Francisca Chávez Ramírez ◽  
Patricio Solis Urra
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Physical Structure ◽  
Female Students ◽  
Activity Level ◽  
The University ◽  
Estudiantes Universitarios

Introducción: La etapa universitaria es un proceso determinante para consolidar los hábitos de vida, donde los estudiantes se ven obligados a cambiar la mayoría de sus hábitos, que propician una mala alimentación, pobre organización del tiempo y menor actividad física, teniendo repercusiones en la condición y estructura física, lo que puede afectar considerablemente el estado de salud de esta población. Objetivo: El objetivo de este trabajo fue determinar las diferencias en la composición corporal y actividad física en estudiantes universitarios según su año de ingreso. Materiales y métodos: Participaron en el estudio 287 estudiantes de ambos sexos (171 mujeres y 116 hombres), pertenecientes a las facultades de “Filosofía y Educación”, “Ingenierías” y “Ciencias”, a los cuales se les realizó una evaluación antropométrica para estimar la composición corporal con las ecuaciones de De Rose y Guimaraes y un cuestionario de frecuencia de actividad física. Resultados: Los resultados indican que existen diferencias en el Índice de Masa Corporal y masa grasa entre estudiantes mujeres de 1º y 2º año y entre 1º y 5º año en los hombres. La masa muscular no presenta grandes diferencias entre los grupos, pero si se aprecia cambios negativos entre el Índice de Masa Corporal y masa grasa de estudiantes que recién ingresan versus los estudiantes de último año. Conclusiones: Durante la universidad se vive un periodo crítico que afecta el nivel actividad física y el estado nutricional de los estudiantes y que podría empeorar en estudiantes con más años en la universidad.AbstractIntroduction: The university stage is a determining process when consolidating people’s habits of life, where students are forced to change most of their habits favoring a poor diet, poor organization of time and less physical activity, which at the same time, has an impact on the condition and physical structure and can significantly affect the health status of this population. Objective: To determine the differences in body composition and physical activity in university students according to their year of admission. Materials and methods: The study involved 287 male and female students (171 women and 116 men) who belonged to the faculties of Philosophy and Education, Engineering and Science, who underwent an anthropometric assessment to estimate body composition with De Rose and Guimaraes equations and a frequency of physical activity questionnaire. Results: The results show that there are differences in Body Mass Index and fat mass among female students of first and second year and between the first and fifth year in men. Muscle mass had no significant differences between groups, but there is negative changes between Body Mass Index and fat mass from students newly admitted versus students in their last year. Conclusions: During the university stage, students face a critical period that affects their physical activity level and nutritional status, which could get worse for students with more years at the university.

scholarly journals Eating-Disordered Behavior in Adolescents: Associations with Body Image, Body Composition and Physical Activity

2020 ◽  
Vol 17 (18) ◽  
pp. 6665
Author(s):  
Eliška Štefanová ◽  
Peter Bakalár ◽  
Tibor Baška
Keyword(s):  
Physical Activity ◽  
Body Image ◽  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Mental Health Problems ◽  
Pearson Correlation ◽  
Fat Free Mass ◽  
Body Fat Mass ◽  
Eating Disordered

Eating disorders (EDs) represent a disparate group of mental health problems that significantly impair physical health or psychosocial functioning. The aim of this study was to present some evidence about the prevalence of eating-disordered behavior (EDB) in adolescents, and explore its associations with body image (BI), body composition (BC) and physical activity (PA) in this age group. Data from 780 adolescents participating in a health behavior in school-aged children (HBSC) study conducted in Slovakia in 2018 were used (mean age 13.5 ± 1.3; 56% boys). Differences in mean values of numerical indicators were evaluated using the independent samples t-test. Differences between nominal variables were assessed by the chi-square test. Pearson correlation was used to describe the associations between all the selected variables. EDB was positively screened in 26.7% (208/780) of adolescents, with a higher prevalence in girls (128/344, 37.2%) than in boys (80/436, 18.3%). Significantly higher means of BI, body weight (BW), body mass index (BMI), body fat mass (BFM), body fat percentage (BFP), body fat mass index (BFMI), fat free mass index (FFMI), and SCOFF questionnaire score (SCOFF QS) were found in those positively screened for EDB. Pearson correlation analysis revealed positive associations between EDB and BI, BW, BMI, BFM, BFP and BFMI. The prevalence of EDB is high in Slovak adolescents. Positive associations between EDB, BI, BMI and fat-related body composition parameters support the idea of a more integrated approach in EDs and obesity prevention and treatment. At the same time, gender differences suggest the need for considering gender-specific strategies aimed at girls and boys separately.

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