The influence of physical activity on lean mass accrual during adolescence: a longitudinal analysis

2008 ◽  
Vol 105 (2) ◽  
pp. 734-741 ◽  
Author(s):  
Adam D. G. Baxter-Jones ◽  
Joey C. Eisenmann ◽  
Robert L. Mirwald ◽  
Robert A. Faulkner ◽  
Donald A. Bailey
Keyword(s):  
Physical Activity ◽  
Body Mass ◽  
Lean Mass ◽  
Normal Growth ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Random Effects Models ◽  
Childhood Physical Activity ◽  
Total Body

During childhood, physical activity is likely the most important modifiable factor for the development of lean mass. However, the effects of normal growth and maturation must be controlled. To distinguish effects of physical activity from normal growth, longitudinal data are required. One hundred nine boys and one hundred thirteen girls, participating in the Saskatchewan Pediatric Bone Mineral Accrual Study, were repeatedly assessed for 6 yr. Age at entry was 8–15 yr. Stature, body mass, and physical activity were assessed biannually. Body composition was assessed annually by dual-energy X-ray absorptiometry. Physical activity was determined using the physical activity questionnaires for children and adolescence. Biological age was defined as years from age of peak height velocity. Data were analyzed using multilevel random-effects models. In boys, it was found that physical activity had a significant time-dependent effect on lean mass accrual of the total body (484.7 ± 157.1 g), arms (69.6 ± 27.2 g), legs (197.7 ± 60.5 g), and trunk (249.1 ± 91.4 g) ( P < 0.05). Although the physical activity effects were similar in the girls (total body: 306.9 ± 96.6 g, arms: 31.4 ± 15.5 g, legs: 162.9 ± 40.0 g, and trunk: 119.6 ± 58.2 g; P < 0.05), boys for the same level of activity accrued, depending on the site, between 21 and 120% more absolute lean mass (g). In conclusion, habitual physical activity had a significant independent influence on the growth of lean body mass during adolescence, once biological maturity and stature were controlled.

Longitudinal patterns in BMI and percent total body fat from peak height velocity through emerging adulthood into young adulthood

2017 ◽  
Vol 30 (1) ◽  
pp. e23056 ◽  
Author(s):  
Erin Barbour-Tuck ◽  
Marta Erlandson ◽  
Nazeem Muhajarine ◽  
Heather Foulds ◽  
Adam Baxter-Jones
Keyword(s):  
Emerging Adulthood ◽  
Young Adulthood ◽  
Body Fat ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Longitudinal Patterns ◽  
Total Body Fat ◽  
Total Body

Is the Relationship Between Sprinting and Maximal Aerobic Speeds in Young Soccer Players Affected by Maturation?

2010 ◽  
Vol 22 (4) ◽  
pp. 497-510 ◽  
Author(s):  
Alberto Mendez-Villanueva ◽  
Martin Buchheit ◽  
Sami Kuitunen ◽  
Tsz Kit Poon ◽  
Ben Simpson ◽  
...  
Keyword(s):  
Body Mass ◽  
Allometric Scaling ◽  
Young Male ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Positive Correlations ◽  
The Relationship

The purpose of this study was to investigate the relationship between maximal sprinting (MSS) and aerobic (MAS) speeds in a cohort of highly-trained young male soccer players with the influence of body mass controlled for using allometric scaling. MSS and MAS were obtained in 14 pre-age at peak height velocity (APHV) players (12.3 ± 0.7 years), 21 circum-APHV players (14.3 ± 0.9 year) and 26 post-APHV players (16.9 ± 0.7 years). The three groups showed similar positive correlations between MSS and MAS (r = 0.73 to 0.52; p < .01). In conclusion, our results suggest that the relationship between MSS and MAS is not affected by maturation.

Maturity-Related Variation in Moderate-to-Vigorous Physical Activity Among 9–14 Year Olds

2009 ◽  
Vol 6 (5) ◽  
pp. 597-605 ◽  
Author(s):  
Eric E. Wickel ◽  
Joey C. Eisenmann ◽  
Gregory J. Welk
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Peak Height ◽  
Height Velocity ◽  
Chronological Age ◽  
Activity Levels ◽  
Peak Height Velocity ◽  
The Mean ◽  
And Gender ◽  
Biological Maturity

Background:This study compared physical activity levels among early, average, and late maturing boys and girls.Methods:Physical activity was assessed with an Actigraph accelerometer in 161 (76 boys, 85 girls) 9 to 14 year olds over 7 consecutive days. Anthropometric variables were measured and the maturity offset (ie, years from peak height velocity) was predicted. Biological maturity groups (early, average, and late) were created based on the mean estimated age at peak height velocity for boys and girls separately.Results:Levels of moderate-to-vigorous physical activity (MVPA) were similar between early, average, and late maturing boys and girls after adjusting for differences in chronological age. Levels of MVPA progressively declined across chronological age in boys and girls (P < .001) and gender differences existed at 10-, 12-, and 13-years, with boys having higher levels than girls (P < .05). When aligned according to biological age, gender-related differences in MVPA did not exist.Conclusions:Within this sample of 9 to 14 year old boys and girls, there were no significant differences in MVPA among early, average, and late maturing individuals.

scholarly journals Comparison of maturation and physical performance in basketball athletes of different playing positions

2019 ◽  
Vol 21 ◽  
Author(s):  
Lilian Keila Barazetti ◽  
Pedro Rafael Varoni ◽  
Fernando de Souza Campos ◽  
Michelli Demarchi ◽  
Lucielle Baumann ◽  
...  
Keyword(s):  
Physical Performance ◽  
Body Mass ◽  
Aerobic Power ◽  
Vertical Jump ◽  
Peak Height ◽  
Lower Limbs ◽  
Height Velocity ◽  
Leg Length ◽  
Peak Height Velocity ◽  
Sitting Height

Abstract The aim of this study was to compare the characteristics of somatic maturation, anthropometric and physical performance (vertical jump and aerobic power) in young basketball players of different playing positions (under 13 years) and analyze these relationships using Peak Height Velocity (PHV) as a measure of somatic maturation. For this, 26 male athletes were evaluated. Anthropometric variables were: body mass, standing and sitting height, and length of lower limbs. Maturation was determined by age at PHV. Physical performance was determined by lower limb power (counter movement jump - CMJ) and aerobic power (Intermittent Recovery Test) tests. MANOVA reported significant differences (p<0.05) among playing positions regarding variables Maturity Offset, estimated PHV age, standing height, sitting height, estimated leg length, body mass and Yo-Yo IR1. In addition, it was identified that point guards reached estimated PHV at later age than their peers who act as small forwards and centers. Regarding CMJ, no significant differences were identified among playing positions, but in relation to aerobic power, point guards and small forwards presented higher performance. These findings confirm that maturation has great effect on growth and physical performance measures and the estimated PHV age is an applicable tool in young athletes, mainly aiding professionals in structuring the teaching-learning- training process in this age group.

scholarly journals Hubungan Status Gizi dan Aktivitas Fisik dengan Kejadian Hipertensi Remaja

Jurnal Gizi ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 10
Author(s):  
Romadhiyana Kisno Saputri ◽  
Akhmad Al-Bari ◽  
Ria Indah Kusuma Pitaloka
Keyword(s):  
Physical Activity ◽  
Nutritional Status ◽  
Quantitative Research ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Cross Sectional ◽  
Obesity And Overweight ◽  
Increase Risk ◽  
Overweight Adolescents

Adolescence is peak height velocity that affect changes in body composition, rapidgrowth on weight, bone mass, pysical activity and nutritional status. Overweight and lack ofphysical activity are risk factors of hyertension in adolescents. Overweight adolescents havea 4,85 times risk of developig hypertension compared to adolescents with normal nutritionalstatus. Lack of physical activity has 7,86 times the risk of developing hypertension thanadolescents with active physical activity. Hypertension in adolescents increase risk ofmorbidity and mortality in adults. This study aim to determine the correlation between nutritional status and physicalactivity with hypertension in adolescents. A quantitative research with cross sectional designwas developed.  Respondents in this study were 75  college students. Data analysis usingSpearman’s Correlation test. Proportion of obesity and overweight was 20%.  Physical activity of the respondentsbelongs to light category. The incidence of hypertension I 14,67% and hypertension II2,67%. Results shows that there was correlation between nutritional status and physicalactivity with hypertension in adolescents.Keywords :  nutritional status, physical activity, hypertension, adolescents  

scholarly journals Effect of biological maturation on gross motor coordination in boys: a mediation analysis

2020 ◽  
Vol 33 ◽  
Author(s):  
Douglas Henrique Bezerra-Santos ◽  
Leonardo Gomes de Oliveira Luz ◽  
Braulio Patrick da Silva-Lima ◽  
Ingrid Kelly Alves dos Santos-Pinheiro ◽  
Arnaldo Tenório da Cunha-Júnior ◽  
...  
Keyword(s):  
Physical Activity ◽  
Motor Coordination ◽  
Peak Height ◽  
Early Years ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Gross Motor ◽  
Sitting Height ◽  
Biological Maturation ◽  
Walking Backward

Abstract Introduction: The literature emphasizes the importance of acquiring good motor coordination in the early years of life and its relationship with physical fitness and physical activity during adolescence and adulthood. Objective: To analyze the effect of biological maturation on the motor coordination in boys. Method: The sample was composed by 203 boys between 11 and 14 years old. Height, body mass, sitting height, waist circumference (WC) and skinfolds were measured. Somatic maturation (SM) was assessed by maturity offset (estimated age at peak height velocity). The gross motor coordination was evaluated by Körperkoordinationstest für Kinder (KTK) battery. Results: The SM exerted an effect on the walking backward on balance beams (WB) mediated by the WC. Conclusion: The results showed that the performance of boys in the WB was negatively influenced by the greater volume of fat in the trunk related to a more advanced state of SM.

EFFECT OF PHYSICAL ACTIVITY ON AGE OF PEAK HEIGHT VELOCITY AND AGE OF MENARCHE

2001 ◽  
Vol 33 (5) ◽  
pp. S34
Author(s):  
R A. Faulkner ◽  
R L. Mirwald ◽  
D A. Bailey ◽  
A D.G. Baxter-Jones
Keyword(s):  
Physical Activity ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Age Of Menarche

scholarly journals Age-related differences in linear sprint in adolescent female soccer players

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Elena Mainer-Pardos ◽  
Oliver Gonzalo-Skok ◽  
Hadi Nobari ◽  
Demetrio Lozano ◽  
Jorge Pérez-Gómez
Keyword(s):  
Body Mass ◽  
Peak Height ◽  
Sprint Performance ◽  
Soccer Players ◽  
Height Velocity ◽  
Adolescent Female ◽  
Peak Height Velocity ◽  
Running Speed ◽  
Biological Maturation ◽  
Age Related

Abstract Background Several studies have observed the contribution of chronological age, biological maturation, and anthropometric characteristics to sprinting performance in young soccer players. Nevertheless, there are no studies that have analysed the contribution of these characteristics to running speed qualities in adolescent female soccer players. Objective This study investigated age-related differences in sprint performance in adolescent female soccer players. Also, it examined the possible influence of anthropometry [body mass and body mass index (BMI)] and biological maturation [age at peak height velocity (APHV)] in sprint performance. Methods Eighty adolescent female soccer players [under (U) 14, n = 20; U16, n = 37; U18, n = 23] participated in this study. Players were tested for 40 m sprint (each 10 m split times). Results Posthoc analysis revealed better performance in all split sprint times of older soccer players (U18 and U16) compared with younger category (F: 3.380 to 6.169; p < 0.05; ES: 0.64 to 1.33). On the contrary in all split sprint times, there were no significant changes between U16 and U18 (p < 0.05; ES: 0.03 to 0.17). ANCOVA revealed differences in all parameters between groups, controlled for APHV (p < 0.05). In contrast, all between-group differences disappeared after body mass and BMI adjustment (p > 0.05). Finally, the results indicate that BMI and body mass were significantly correlated with 40 m sprint (p < 0.05; r: -0.31) and 20 m flying (p < 0.01; r: 0.38), respectively. Conclusion In the present players’ sample, body mass and BMI had a significant impact on running speed qualities.

scholarly journals Morphological and Fitness Attributes of Young Male Portuguese Basketball Players: Normative Values According to Chronological Age and Years From Peak Height Velocity

2021 ◽  
Vol 3 ◽  
Author(s):  
Sérgio Antunes Ramos ◽  
Luis Miguel Massuça ◽  
Anna Volossovitch ◽  
António Paulo Ferreira ◽  
Isabel Fragoso
Keyword(s):  
Body Mass ◽  
Handgrip Strength ◽  
Young Male ◽  
Peak Height ◽  
Height Velocity ◽  
Chronological Age ◽  
Normative Values ◽  
Peak Height Velocity ◽  
Basketball Players ◽  
Arm Span

The aims of the present study were: (i) to describe the structural and functional attributes of young male Portuguese basketball players aged 12–16 years and (ii) to generate normative data according to chronological age and years from peak height velocity. A total of 281 male Portuguese young basketball players between the ages of 12 and 16 years were assessed in this study. Chronological age, maturity parameters (maturity offset and predicted age at peak height velocity), morphological (body mass, height, and skinfolds and length), and fitness (sprint, change of direction ability, jump, and upper body strength) attributes were measured. Descriptive statistics were determined for the age and maturity status, and the 10th, 25th, 50th, 75th, and 90th percentiles were chosen as reference values. Descriptive and normative values of the players' morphological and fitness attributes, stratified by age and maturity status, are provided. The normative values of age at peak height velocity (category YAPHV = 0) showed that regional basketball players presented average values (50th percentile) of 169.8 cm for height, 173.3 cm for arm span, 55.6 kg for body mass, 3.34 s for the 20-m speed test, 10.31 s for the T-test, 4.75 m for the 2-kg medicine ball throw, 66.9 kg for the combined right and left handgrip strength, and 30.1 and 35.9 cm for jump height in the countermovement jump (CMJ) and CMJ with arm swing, respectively. In conclusion, these results may be helpful to quantify and control an athlete's performance over time and to adjust strength and conditioning programs to biological demands.

scholarly journals Age differences in selected measures of physical fitness in young handball players

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242385
Author(s):  
Jaime Fernandez-Fernandez ◽  
Isidoro Martinez-Martin ◽  
Vicente Garcia-Tormo ◽  
Juan Garcia-Lopez ◽  
Mario Centeno-Esteban ◽  
...  
Keyword(s):  
Physical Fitness ◽  
Body Mass ◽  
Age Differences ◽  
Young Male ◽  
Peak Height ◽  
Height Velocity ◽  
Countermovement Jump ◽  
Peak Height Velocity ◽  
Sprint Time ◽  
Change Of Direction

Objective The aims of the present study were: 1) to calculate the change of direction (COD) deficit (using a modified version of the 505 test and 10 m sprint time), and (2) to examine the differences in linear sprint, jump and COD performances, as well as COD deficit, between under-13 (U13) and under-15 (U15) male handball players. Methods One hundred and nineteen young male handball players (under-13 [U13; n = 82] and under-15 [U15; n = 37]). Tests included anthropometric measurements, countermovement jump (CMJ), triple leg-hop for distance, linear sprint test (5, 10 and 20 m), and a modified version of the 505 COD test. Results Results showed moderate to very large differences (P < 0.05) in age, predicted age at peak height velocity (APHV), distance from PHV (DPHV), height, and body mass between the age categories. Moreover, U15 players demonstrated higher performances in all jump tests and lower sprint times in 10- (ES = 0.84) and 20-m (ES = 0.51) and a higher 505 deficit (ES = 0.38) than the U13 players (P < 0.05). However, no significant differences were observed for the 505 COD test between groups (ES = 0.12; P > 0.05). Conclusions Our results suggest that during the transition from pre- to post-puberty, young handball players should focus on transferring their progressive improvements in strength, speed, and power capacities to COD performance.

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