scholarly journals Body Composition, Physical Fitness, Physical Activity and Nutrition in Polish and Spanish Male Students of Sports Sciences: Differences and Correlations

2019 ◽  
Vol 16 (7) ◽  
pp. 1148 ◽  
Author(s):  
Guillermo López-Sánchez ◽  
Łukasz Radzimiński ◽  
Maria Skalska ◽  
Joanna Jastrzębska ◽  
Lee Smith ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Physical Fitness ◽  
Fat Mass ◽  
Dairy Products ◽  
Fat Free Mass ◽  
Male Students ◽  
Running Speed ◽  
Sugary Drinks ◽  
Sports Sciences

It is important to study differences in body composition, physical fitness and lifestyle behaviours between university students from different countries to develop country-specific recommendations on health promotion to provide to students when transitioning to university. The present study aimed to analyse differences in body composition, physical fitness and lifestyle behaviours between Polish and Spanish students of Sports Sciences. One-hundred-and-eighty-six male students participated (81 from Poland and 105 from Spain). Polish males were on average 21.5 ± 1.9 yrs old and Spanish males 21.5 ± 2.5. The body composition variables measured were body weight (kg), fat-free mass (FFM, kg and %), fat mass (FM, kg and %), total body water (TBW, kg and %), basal metabolic rate (BMR, kcal), body mass index (BMI, kg/m2), fat-free mass index (FFMI, kg/m2) and fat mass index (FMI, kg/m2). The physical fitness variables measured were squat jump (SJ, height in cm, power in watts and w/kg), countermovement jump (CMJ, height in cm, power in watts and w/kg), running speed (10, 20 and 30 m (time in s)), and progressive aerobic cardiovascular endurance run (PACER, stage, final speed in km/h, distance in m, VO2max in mL/kg/min). Lifestyle variables measured were vigorous physical activity (VPA, days/week, min/week), moderate physical activity (MPA, days/week, min/week), walking (days/week, min/week), sitting (min/week), meals/day, vegetables/day, fruits/day, seafood/week, dairy products/week, sweets, chips, fast food/week, litres of liquid/day, litres of sugary drinks/day, alcohol/week and cigarettes/day. In comparison to Spanish students, Polish students had greater FFM (kg), greater TBW (kg), higher BMR, greater power in SJ, greater height and power in CMJ, lower times in running speed tests (10 and 20 m) and greater consumption of vegetables and liquids. In comparison to Polish students, Spanish students participated in more physical activity, and consumed more seafood, more dairy products, less sugary drinks, less alcohol and less tobacco. VPA and consumption of vegetables and liquids had positive influences on body composition and physical fitness. According to these results, universities should promote a healthy lifestyle in order to improve body composition and physical fitness in male students studying sport science. In the cases of Spain and Poland, special attention should be paid to the weak points detected in this study. This would be useful for avoiding future risk of diseases such as obesity or diabetes.

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, physical fitness, physical activity and nutrition in Polish and Spanish female students of sports sciences

2020 ◽  
Vol 35 (1) ◽  
pp. e21-e28
Author(s):  
G.F. López-Sánchez ◽  
Ł. Radzimiński ◽  
M. Skalska ◽  
J. Jastrzębska ◽  
L. Smith ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Physical Fitness ◽  
Female Students ◽  
Sports Sciences

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.

scholarly journals An Increase in Fat Mass Index Predicts a Deterioration of Running Speed

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 701 ◽  
Author(s):  
Laurence Genton ◽  
Julie Mareschal ◽  
Véronique L. Karsegard ◽  
Najate Achamrah ◽  
Marta Delsoglio ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
High Body Mass Index ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Running Speed ◽  
Fat Mass Index ◽  
Running Performance

A low fat mass is associated with a good running performance. This study explores whether modifications in body composition predicted changes in running speed. We included people who underwent several measurements of body composition by bioelectrical impedance analysis between 1999 and 2016, at the “Course de l’Escalade”, taking place yearly in Geneva. Body composition was reported as a fat-free mass index (FFMI) and fat mass index (FMI). Running distances (men: 7.2 km; women: 4.8 km) and running times were used to calculate speed in km/h. We performed multivariate linear mixed regression models to determine whether modifications of body mass index, FFMI, FMI or the combination of FFMI and FMI predicted changes in running speed. The study population included 377 women (1419 observations) and 509 men (2161 observations). Changes in running speed were best predicted by the combination of FFMI and FMI. Running speed improved with a reduction of FMI in both sexes (women: ß −0.31; 95% CI −0.35 to −0.27, p < 0.001. men: ß −0.43; 95% CI −0.48 to −0.39, p < 0.001) and a reduction of FFMI in men (ß −0.20; 95% CI −0.26 to −0.15, p < 0.001). Adjusted for body composition, the decline in running performance occurred from 50 years onward, but appeared earlier with a body mass, FFMI or FMI above the median value at baseline. Changes of running speed are determined mostly by changes in FMI. The decline in running performance occurs from 50 years onward but appears earlier in people with a high body mass index, FFMI or FMI at baseline.

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 Body mass index, physical activity, and physical fitness of adolescence

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Ratna Candra Dewi ◽  
Nanda Rimawati ◽  
Purbodjati Purbodjati
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
Physical Fitness ◽  
Body Mass ◽  
Fat Mass ◽  
Pearson Correlation ◽  
Moderate Physical Activity ◽  
Normal Body Mass Index ◽  
Mass Percentage

Background: Adolescents experience growth and significant changes in body composition which influence physical activity and response to sport or exercise. The level of physical fitness in adolescent girls is usually lower than that of boys, due to differences in body composition and levels of physical activity. The aim of this study was to examine the relationship between fat mass percentage, body composition, physical activity, and physical fitness.Design and Methods: This study used an analytical observational, and cross-sectional design with total samples consisting of 70 male and female students aged 14-15 years. They were selected through simple random sampling, and the data collected were anthropometric measurements, body composition, physical activity and physical fitness. In addition, the Pearson correlation test was used for data analysis.Results: The results showed that 68.57% of participants had a normal body mass index, 74.3% had moderate physical activity, and 44.28% had fat mass percentage including an obesity category and, 54.29% had low physical fitness. Furthermore, the Pearson test showed a significant relationship between physical activity, body mass index and fat mass percentage with physical fitness.Conclusions: An increased fat mass percentage is associated with decreased levels of physical fitness. Furthermore, a good determinant of low physical fitness in obese conditions is the percentage of fat mass rather than BMI.

scholarly journals MOSH Syndrome (Male Obesity Secondary Hypogonadism): Clinical Assessment and Possible Therapeutic Approaches

2018 ◽  
Author(s):  
Antonino De Lorenzo ◽  
Annalisa Noce ◽  
Eleonora Moriconi ◽  
Tiziana Rampello ◽  
Giulia Marrone ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Composition ◽  
Fat Mass ◽  
Food Addiction ◽  
Lifestyle Changes ◽  
Fat Free Mass ◽  
Positive Effects ◽  
Total Fat ◽  
Secondary Hypogonadism

Male obesity secondary hypogonadism (MOSH) impairs fertility, sexual function, bone mineralization, fat metabolism, cognitive function, deteriorates muscle mass and alters body composition. The aim of this pilot study was to evaluate the effect of dietary intervention and physical activity on the MOSH patient&rsquo;s hormonal profile after a 10% weight loss compared to baseline. Fourteen male patients were enrolled. Hormonal, lipid, glycemic profiles and body composition were determined at baseline and after a 10% weight loss. Aging Male Symptoms Scale (AMS) and Yale Food Addiction Scale (YFAS) were administered to patients in order to investigate hypogonadal symptoms and food addiction. Compared to baseline, a significant increase of Total Testosterone (TT) (300.2 &plusmn; 79.5 ng/dl vs 408.3 &plusmn; 125.9, p = 0.002, 95% CI 26.8; 167.7) and a reduction of 17-Beta Estradiol level (48.3 &plusmn; 14.9 pg/mL vs 39.2 &plusmn; 15.2, p = 0.049, 95% CI 3.1; 0.0) were observed. Total Fat Mass (FM) percentage, android and gynoid fat mass percentage (39.2 &plusmn; 6.4% vs 36.2 &plusmn; 5.8%, p = 0.0001, 95% CI 22.5; 62.3; 51.5 &plusmn; 6.8% vs 47.6 &plusmn; 6.8%, p = 0.001, 95% CI 0.6; 1.8, vs 39.2 &plusmn; 6.2% vs 36.5 &plusmn; 6.3% p= 0.0001, 95% CI 0.9; 2.0 respectively) were significantly decreased after nutritional intervention. In addition, total Fat Free Mass (FFM) in kg was significantly reduced after 10% weight loss (62.3&plusmn; 2.8 kg vs 60.3&plusmn; 7.7 kg, p = 0.002, 95% CI 45.0; 93.0). Lifestyle changes, specifically dietotherapy and physical activity, induce positive effects on hypogonadism due to obesity.

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 PHYSICAL FITNESS AND BIRTH WEIGHT IN YOUNG MEN FROM MAPUTO CITY, MOZAMBIQUE

2016 ◽  
Vol 22 (1) ◽  
pp. 66-70 ◽  
Author(s):  
Mario Eugénio Tchamo ◽  
Marcos André de Moura dos Santos ◽  
Marcelus Brito de Almeida ◽  
António Manuel Machado Prista e Silva ◽  
Carol Góis Leandro
Keyword(s):  
Body Composition ◽  
Birth Weight ◽  
Physical Fitness ◽  
Handgrip Strength ◽  
Young Men ◽  
Fat Free Mass ◽  
High Birth Weight ◽  
Running Speed ◽  
Speed Test ◽  
Low Performance

ABSTRACT Introduction: Birth weight has been considered an important marker of the nutritional transition in developing countries. Objective: To evaluate the influence of birth weight on body composition and physical fitness of young men born in Maputo, Mozambique. Methods: One hundred and seventy-nine students (aged 19 to 22 years) were divided into four groups (low birth weight < 2.500 g, LBW, n = 49; insufficient birth weight ≥ 2.500 g and < 3.000 g, IBW, n = 27; normal birth weight ≥ 3.000 g and < 3.999 g, NBW, n = 74; and high birth weight > 3.999 g, HBW, n = 31). Anthropometry and body composition were measured. Physical fitness was assessed by handgrip strength, muscle endurance, flexibility, agility, and running speed. Results: IBW showed lower values of body mass and fat free mass while LBW and HBW had high values of hip circumference, suprailiac, subscapular and abdominal skinfold when compared to NBW. LBW and HBW showed a high percentage of individuals with low performance in flexibility, right handgrip, agility, abdominal resistance, arms strength, and horizontal long jump. Around 70% of HBW showed low performance in the running speed test. Conclusion: Both low and high birth weight can influence adult adiposity and the performance in physical fitness tests.

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