Body Strenght Fitness as One of the Perspective Form of Physical Activity Influence on Age-Dependent Adaptive Changes in Men’s Organism

2017 ◽  
Vol 2 (1) ◽  
pp. 231-234
Author(s):  
H. V. Titova ◽  
◽  
A. I. Bodnar ◽  
O. V. Petrenko ◽  
I. O. Chaban ◽  
...  
Keyword(s):  
Physical Activity ◽  
Adaptive Changes ◽  
Age Dependent

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.

scholarly journals Physiological adaptation of anthropometric and cardiovascular parameters on physical activity of elite athletes

2012 ◽  
Vol 140 (7-8) ◽  
pp. 431-435
Author(s):  
Marina Djelic ◽  
Slavica Saranovic ◽  
Jovan Zlatkovic ◽  
Vladimir Ilic ◽  
Dragan Radovanovic ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Oxygen Consumption ◽  
Body Mass ◽  
Maximal Oxygen Consumption ◽  
Maximal Heart Rate ◽  
Trained Group ◽  
Trained Subjects ◽  
Cardiovascular Parameters ◽  
Adaptive Changes

Introduction. Specific morphological and functional characteristics of athletes have a significant role in determining athletes? sports results and can be also used to assess the athlete?s individual potential. Objective. The aim of the study was to compare anthropometric characteristics and cardiovascular parameters in trained subjects to those of untrained subjects. Methods. A total number of 25 trained (17.30?0.83 years) and 21 (18.52?1.52 years) untrained male subjects participated in this study. Body weight and height were measured and these values were used to compute body mass index (BMI). The bioelectrical impedance analysis (BIA) method was used to estimate body fat percentage (%BF). Cardiovascular parameters were monitored in rest (rest heart rate, systolic and diastolic blood pressure) during ergospirometric testing (maximal oxygen consumption, maximal heart rate) and in recovery (heart rate in the first and third minute of recovery). Results. Body mass, height and BMI (p<0.01) were significantly higher, although BF% was lower in trained group when compared to untrained, but the difference was not statistically significant. Heart rate in rest and recovery were significantly lower (p<0.05) in trained group when compared to untrained, although maximal oxygen consumption and maximal heart rate were significantly higher in trained group (p<0.01, p<0.05, respectevely). Conclusion. Our results show that in trained subjects, water polo players, regular intense physical activity lead to adaptive changes of anthropometric parameters and adaptive changes on the cardiovascular system.

scholarly journals Physical activity releases prostate-specific antigen (PSA) from the prostate gland into blood and increases serum PSA concentrations

1996 ◽  
Vol 42 (5) ◽  
pp. 691-695 ◽  
Author(s):  
G M Oremek ◽  
U B Seiffert
Keyword(s):  
Physical Activity ◽  
Prostate Specific Antigen ◽  
Prostate Gland ◽  
Specific Antigen ◽  
Prostatic Acid Phosphatase ◽  
Bicycle Ergometer ◽  
Age Dependent ◽  
Before And After ◽  
Prostate Epithelium

Abstract Determination of prostate-specific antigen (PSA) is an established tool in detecting prostate cancer. However, the effect of physical activity on the PSA concentration in serum is controversial. We measured serum concentrations of PSA and prostatic acid phosphatase (PAP) in 301 healthy outpatients before and after they performed standardized exercise. Immediately after 15 min of exercise on a bicycle ergometer, their serum PSA concentrations increased by as much as threefold. The increase was age dependent and correlated to the PSA concentration before exercise. This increase was evident in both the free and complexed fractions of PSA. The amount of PSA secreted into blood depends on the volume of the prostate, whereas productivity of the prostate epithelium remains constant or increases slightly with age. We present cutoff values for clinical use. PAP was also increased, but to a lesser extent. The PSA and PAP secretion mechanisms differ. Our data suggest that extensive physical activity should be avoided before blood sampling for diagnostic purposes and, in case of an increase, the PSA concentration should be controlled after an exercise test.

scholarly journals Cellular aging of skeletal muscle: telomeric and free radical evidence that physical inactivity is responsible and not age

2014 ◽  
Vol 127 (6) ◽  
pp. 415-421 ◽  
Author(s):  
Massimo Venturelli ◽  
Garrett R. Morgan ◽  
Anthony J. Donato ◽  
Van Reese ◽  
Renato Bottura ◽  
...  
Keyword(s):  
Physical Activity ◽  
Skeletal Muscle ◽  
Free Radicals ◽  
Free Radical ◽  
Physical Inactivity ◽  
Cellular Aging ◽  
Subsequent Increase ◽  
Age Dependent

Recognition that the cellular aging of skeletal muscle is not simply age-dependent, but is the consequence of inactivity and the subsequent increase in free radicals, highlights the importance of maintaining physical activity across the lifespan.

scholarly journals The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254721
Author(s):  
Teatske M. Altenburg ◽  
Xinhui Wang ◽  
Evi van Ekris ◽  
Lars Bo Andersen ◽  
Niels Christian Møller ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Classification Accuracy ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Free Living ◽  
Activity Data ◽  
Age Dependent ◽  
Derived Data

We examined the influence of using different epoch lengths on the classification accuracy of laboratory-controlled sedentary behaviour (SB), and free-living total time and time spent in bouts of SB and moderate-to-vigorous physical activity (MVPA), in children and adolescents. We used two studies including accelerometer-derived data of: 1) controlled activities, i.e. seven sedentary, one standing and one dancing (n = 90); 2) free-living activities (n = 902). For the controlled-activity data, we calculated percentages of time classified as SB and MVPA. For the free-living data, we calculated medians (25th–75th percentiles) of total time and time spent in bouts of SB and MVPA. Applying 8counts/5seconds, 25counts/15seconds and 100counts/60seconds for SB on controlled-activity data revealed respectively (1) 92–96%, 89–99% and 98–100% of sedentary time accurately classified as SB (activity- and age-dependent); (2) 91–98%, 88–99% and 97–100% of standing time classified as SB (age-dependent); (3) 25–37%, 20–25% and 25–38% of dancing time classified as SB (age-dependent). Using longer epochs, children’s total time in SB and MVPA decreased while time accumulated in bouts of SB and MVPA accumulated in bouts increased. We conclude that a 60-second epoch seems preferable when the aim is to classify sedentary behaviour, while a shorter epoch length is needed to capture children’s short bursts of MPVA. Furthermore, we should be aware that a longer epoch results in averaging of intensities to the middle category.

scholarly journals Gender differences in active travel in major cities across the world

2022 ◽  
Author(s):  
Rahul Goel ◽  
Oyinlola Oyebode ◽  
Louise Foley ◽  
Lambed Tatah ◽  
Christopher Millett ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Public Transport ◽  
Road Traffic ◽  
Gender Disparity ◽  
Active Travel ◽  
Male Violence ◽  
Middle Income ◽  
The World ◽  
Age Dependent

AbstractThere is lack of literature on international comparison of gender differences in the use of active travel modes. We used population-representative travel surveys for 19 major cities across 13 countries and 6 continents, representing a mix of cites from low-and-middle income (n = 8) and high-income countries (n = 11). In all the cities, females are more likely than males to walk and, in most cities, more likely to use public transport. This relationship reverses in cycling, with females often less likely users than males. In high cycling cities, both genders are equally likely to cycle. Active travel to access public transport contributes 30–50% of total active travel time. The gender differences in active travel metrics are age dependent. Among children (< 16 years), these metrics are often equal for girls and boys, while gender disparity increases with age. On average, active travel enables one in every four people in the population to achieve at least 30 min of physical activity in a day, though there is large variation across the cities. In general, females are more likely to achieve this level than males. The results highlight the importance of a gendered approach towards active transport policies. Such an approach necessitates reducing road traffic danger and male violence, as well as overcoming social norms that restrict women from cycling.

scholarly journals Age and Sex-Related Associations between Marital Status, Physical Activity and TV Time

2022 ◽  
Vol 19 (1) ◽  
pp. 502
Author(s):  
Timothy Gustavo Cavazzotto ◽  
Natã Gomes de Lima Stavinski ◽  
Marcos Roberto Queiroga ◽  
Michael Pereira da Silva ◽  
Edilson Serpeloni Cyrino ◽  
...  
Keyword(s):  
Physical Activity ◽  
Marital Status ◽  
Health Effect ◽  
Age Groups ◽  
Population Based ◽  
Younger Age ◽  
Married Men ◽  
Age Dependent ◽  
Obesity Hypertension ◽  
Age And Sex

Marital status mediates an association between physical activity (PA) and TV time with health outcomes. However, population-based studies have revealed that the health effect of marriage or divorce is age-dependent and differs between women and men. The study aimed to identify the age and sex-related associations between marital status with PA and TV time. We used data from Vigitel, an annual telephone survey started in 2006 in Brazil. We applied a complex sample logistic regression model to estimate the odds for PA and TV time comparing marital statuses according to age and sex subgroups, independent of obesity, hypertension, diabetes, self-assessed poor health, and smoking. Our sample included 561,837 individuals from 18 to 99 years, with a TV time > 3 h/day (prevalence = 25.2%) and PA > 150 min/week (prevalence = 35%). Later, we divided our sample in seven age groups by marital status and sex. Compared to single individuals, married men and women were less likely to watch TV more than 3 h/day in participants >30 years old. When compared to single, married participants were less likely to do more than 150 min of PA/week at younger age groups. Married women older than 40 years were more likely to do more than 150 min of PA/week than the single ones, while there were no differences among married men by age group. In conclusion, our study suggests that the investments in public policies to encourage the practice of PA and reduction of TV time could be based on the marital status, sex, and age, prioritizing less active groups.

scholarly journals Bridging the Gaps: The Promise of Omics Studies in Pediatric Exercise Research

2016 ◽  
Vol 28 (2) ◽  
pp. 194-201 ◽  
Author(s):  
Shlomit Radom-Aizik ◽  
Dan M. Cooper
Keyword(s):  
Gene Expression ◽  
Physical Activity ◽  
Childhood And Adolescence ◽  
Epigenetic Mechanisms ◽  
Molecular Signaling ◽  
Critical Periods ◽  
Parallel Processes ◽  
Age Dependent ◽  
Definition Of ◽  
First Time

In this review, we highlight promising new discoveries that may generate useful and clinically relevant insights into the mechanisms that link exercise with growth during critical periods of development. Growth in childhood and adolescence is unique among mammals and is a dynamic process regulated by an evolution of hormonal and inflammatory mediators, age-dependent progression of gene expression, and environmentally modulated epigenetic mechanisms. Many of these same processes likely affect molecular transducers of physical activity. How the molecular signaling associated with growth is synchronized with signaling associated with exercise is poorly understood. Recent advances in “omics”—namely genomics and epigenetics, metabolomics, and proteomics—now provide exciting approaches and tools that can be used for the first time to address this gap. A biologic definition of “healthy” exercise that links the metabolic transducers of physical activity with parallel processes that regulate growth will transform health policy and guidelines that promote optimal use of physical activity.

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