scholarly journals Sedentary behavior, physical inactivity and body composition in relation to idiopathic infertility among men and women

2019 ◽  
Author(s):  
Foucaut Aude-Marie ◽  
Faure Céline ◽  
Julia Chantal ◽  
Czernichow Sébastien ◽  
Levy Rachel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
High Body Mass Index ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Men And Women ◽  
High Body ◽  
Idiopathic Infertility

AbstractBackgroundPhysical activity and sedentary behavior has inconsistent effects on fertility. High body mass index is associated with infertility but to our knowledge, very few studies have explored body composition in association to fertility.ObjectiveTo assess the association between physical inactivity, sedentary behavior, body composition and idiopathic infertility in French men and women.DesignWe conducted a case-control multicentric observational study. 159 infertile (79 men and 80 women) and 143 fertile (72 men and 71 women) were recorded in four fertility centers.Main Outcome MeasuresParticipants completed self-administered questionnaires on sociodemographic and lifestyle characteristics, dietary intake, physical activity and sedentary behavior. Anthropometrics were measured, and bioelectrical impedance analysis was used to estimate body composition. Multivariable logistic regression was used to analyze the association of fertility with PA level and sedentary behavior.ResultsIn men, being physically inactive (Odd ratio [OR] 2.20; 95% confidence interval [CI], 1.06, 4.58) and having fat mass greater than the reference values for their age (OR 2.83; 95%CI, 1.31, 6.10) were positively associated with infertility. Sedentary behavior and fat-free mass were not related to infertility in men. In women, sedentary behavior (OR 3.61; 95%CI, 1.58, 8.24), high body fat (OR 3.16; 95%CI, 1.36, 7.37) and low fat-free mass (OR 2.65; 95%CI, 1.10, 6.37) were associated with infertility. PA level was not associated with fertility in women.ConclusionsThis study suggests that sedentary behavior and physical inactivity would represent two independent risk factors associated with fertility. The various elements that make up physical activity (frequency, intensity, time, and type of exercise) and the interrupting time spent sitting should be considered. Body composition variation should be explored further in relation to the biological pathways involved in idiopathic infertility. Moreover, the improvement of lifestyle factors should be considered in infertility treatment.

scholarly journals Sedentary behavior, physical inactivity and body composition in relation to idiopathic infertility among men and women

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0210770 ◽  
Author(s):  
Aude-Marie Foucaut ◽  
Céline Faure ◽  
Chantal Julia ◽  
Sébastien Czernichow ◽  
Rachel Levy ◽  
...  
Keyword(s):  
Body Composition ◽  
Sedentary Behavior ◽  
Physical Inactivity ◽  
Men And Women ◽  
Idiopathic Infertility

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 Obesity and Body Composition in Preschool Children with Different Levels of Actigraphy-Derived Physical Activity—A Cross-Sectional Study

2020 ◽  
Vol 9 (4) ◽  
pp. 1210
Author(s):  
Justyna Wyszyńska ◽  
Piotr Matłosz ◽  
Agnieszka Szybisty ◽  
Paweł Lenik ◽  
Katarzyna Dereń ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Preschool Children ◽  
Lower Risk ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Steps Per Day

Detailed associations between physical activity (PA) and body composition in preschoolers remain unclear. The aim of this study was to assess body composition among preschool children differentiated according to their levels of PA and to assess whether meeting the current PA recommendations is associated with a lower risk of obesity, determined by body mass index (BMI) and body fat percentage (BFP). Free-living PA was measured using accelerometers for 7 days in children aged 5 to 6 years. Bioelectrical impedance analysis was used to estimate body composition. Significant differences in content of BFP, fat-free mass (FFM), and total body water (TBW) were found between boys meeting and not meeting moderate-to-vigorous PA (MVPA) recommendations. Meeting the MVPA recommendation was associated with a twofold lower risk of obesity determined by BFP in boys but not in girls. In contrast, the total number of recommended steps per day was not related to adiposity in boys or girls. No statistically significant differences were observed in body composition indices and quintiles of MVPA. Boys in the 3rd–5th quintiles of steps per day presented significantly lower BFP and higher muscle mass and TBW than their peers in quintile 1. However, different associations were observed between body composition indices and quintiles of PA.

scholarly journals Comparison of Dual-Energy X-Ray Absorptiometry (DXA) versus a Multi-frequency Bioelectrical Impedance (InBody 770) Device for Body Composition Assessment after a 4-Week Hypoenergetic Diet

2019 ◽  
Vol 4 (2) ◽  
pp. 23 ◽  
Author(s):  
Antonio ◽  
Kenyon ◽  
Ellerbroek ◽  
Carson ◽  
Burgess ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Intake ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Percent Body Fat ◽  
Men And Women ◽  
X Ray

The purpose of this investigation was to compare two different methods of assessing body composition (i.e., a multi-frequency bioelectrical impedance analysis (MF-BIA) and dual-energy x-ray absorptiometry (DXA)) over a four-week treatment period in exercise-trained men and women. Subjects were instructed to reduce their energy intake while maintaining the same exercise regimen for a period of four weeks. Pre and post assessments for body composition (i.e., fat-free mass, fat mass, percent body fat) were determined via the MF-BIA and DXA. On average, subjects reduced their energy intake by ~18 percent. The MF-BIA underestimated fat mass and percentage body fat and overestimated fat-free mass in comparison to the DXA. However, when assessing the change in fat mass, fat-free mass or percent body fat, there were no statistically significant differences between the MF-BIA vs. DXA. Overall, the change in percent body fat using the DXA vs. the MF-BIA was −1.3 ± 0.9 and −1.4 ± 1.8, respectively. Our data suggest that when tracking body composition over a period of four weeks, the MF-BIA may be a viable alternative to the DXA in exercise-trained men and women.

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.

scholarly journals High sedentary behavior and compromised physical capabilities in adult smokers despite the suitable level of physical activity in daily life

2017 ◽  
Vol 19 (1) ◽  
pp. 62 ◽  
Author(s):  
Vinicius Tonon Lauria ◽  
Evandro Fornias Sperandio ◽  
Agatha Caveda Matheus ◽  
Rodrigo Pereira da Silva ◽  
Marcello Romiti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Sedentary Behavior ◽  
Daily Life ◽  
Bioelectrical Impedance ◽  
Cardiopulmonary Exercise Test ◽  
Similar Amount ◽  
Physically Active ◽  
Minute Walk ◽  
Sedentary Activities

DOI: http://dx.doi.org/10.5007/1980-0037.2017v19n1p62 Sedentary behavior may play an important role for health outcomes, regardless of the amount of physical activity in daily life (PADL).We aimed to evaluate and compare sedentary behavior as well as physical capabilities in physically active smokers and non-smokers. Twenty-eight adult smokers and 38 non-smokers free of lung disease were matched for age, sex, body mass index, body composition, cardiovascular risk and moderate-to-vigorous PADL. Participants underwent spirometry, cardiopulmonary exercise test (CPET), six-minute walk test (6MWT), isokinetic dynamometry, and body composition (bioelectrical impedance).Despite the similar amount of moderate-to-vigorous PADL(median, 4.5h/week for smokers and 4.0h/week for non-smokers), smokers spent more time lying (median, 8.2h/week: 95% confidence interval, 5.4 to 19.1 vs. 6.1h/week: 3.7 to 11.2) and in sedentary activities (median, 100h/week: 66 to 129 vs. 78h/week: 55 to 122) compared to non-smokers. Smokers also presented worse spirometry, peak V’O2 and maximum heart rate in the CPET, 6MWT, and isokinetic indices (p<0.05). We observed a strong correlation between the time spent lying and spirometry (r = - 0.730) in smokers. Smoking is related to higher sedentary behavior, despite the suitable PADL. An appropriate PADL did not reduce the deleterious effects of smoking on physical capabilities. Interrupting sedentary behavior may be an appropriate intervention target in smokers for reducing the risk of diseases.

scholarly journals Trajectories of Body Composition during Advanced Aging in Consideration of Diet and Physical Activity: A 20-Year Longitudinal Study

Nutrients ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3626
Author(s):  
Alexandra Jungert ◽  
Gerrit Eichner ◽  
Monika Neuhäuser-Berthold
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Body Mass ◽  
Protein Intake ◽  
Activity Index ◽  
Bioelectrical Impedance ◽  
Community Dwelling ◽  
Fat Free Mass ◽  
Anthropometric Data ◽  
Age Dependent

This prospective study investigates age-dependent changes in anthropometric data and body composition over a period of two decades in consideration of physical activity and diet in community-dwelling subjects ≥60 years. Overall, 401 subjects with median follow-up time of 12 years were examined. Fat-free mass (FFM) and fat mass (FM) were analyzed using bioelectrical impedance analysis. Physical activity was assessed via a self-administered questionnaire. Dietary intake was examined by 3-day dietary records. Linear mixed-effects models were used to analyze the influence of age, sex, physical activity and energy/protein intake on anthropometric data and body composition by considering year of entry, use of diuretics and diagnosis of selected diseases. At baseline, median values for daily energy and protein intakes were 8.5 megajoule and 81 g and physical activity index was 1.7. After adjusting for covariates, advancing age was associated with parabolic changes indicating overall changes from age 60 to 90 years in women and men in body mass: −4.7 kg, −5.0 kg; body mass index: +0.04 kg/m2, −0.33 kg/m2; absolute FFM: −2.8 kg, −3.5 kg; absolute FM: −1.8 kg, −1.2 kg and waist circumference: +16 cm, +12 cm, respectively. No age-dependent changes were found for upper arm circumference and relative (%) FFM. Dietary and lifestyle factors were not associated with changes in anthropometric or body composition parameters. In summary, the results indicate non-linear age-dependent changes in anthropometric data and body composition, which are largely unaffected by the degree of habitual physical activity and dietary protein intake in well-nourished community-dwelling subjects.

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 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.

Validation of a portable bioelectrical impedance analyzer for the assessment of body composition

2013 ◽  
Vol 38 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Antony D. Karelis ◽  
Gabriel Chamberland ◽  
Mylène Aubertin-Leheudre ◽  
Christian Duval ◽  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Convergent Validity ◽  
Field Research ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Systematic Bias ◽  
Men And Women ◽  
Bioelectrical Impedance Analyzer

One of the major challenges in field research has been the difficulty to adequately measure body composition, such as % body fat and fat-free mass (FFM). Therefore, the purpose of the present study was to investigate the convergent validity of the portable bioelectrical impedance body composition analyzer, the Inbody 230, with dual X-ray absorptiometry (DXA) (General Electric Lunar Prodigy). The study population consisted of 145 men and women (age, 44.6 ± 20 years; BMI, 24.5 ± 3.8 kg·m–2). We measured body composition (fat mass, % body fat, total FFM, trunk FFM, and appendicular FFM) using DXA and the Inbody 230. Results show strong significant correlations between both methods for fat mass, % body fat, total FFM, and trunk FFM (r = 0.94–0.99). Furthermore, we showed a modest significant correlation between both methods for appendicular FFM (r = 0.63). Finally, as shown by Bland–Altman analysis, no significant biases were observed between Inbody 230 and DXA for fat mass, % body fat, and total FFM. However, trunk and appendicular FFM were shown to have significant biases between the Inbody 230 and DXA. In conclusion, the present study indicated that the portable Inbody 230 may be an acceptable device to measure fat mass, % body fat, and total FFM (except for women) in healthy adults. In addition, there appears to be a systematic bias for the estimation of trunk and appendicular FFM with the Inbody 230 in men and women.

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