Vertical Jump and Leg Power Normative Data for Colombian Schoolchildren Aged 9-17.9 Years: The FUPRECOL Study

Ramírez-Vélez, R, Correa-Bautista, JE, Lobelo, F, Cadore, EL, Alonso-Martinez, AM, and Izquierdo, M. Vertical jump and leg power normative data for Colombian schoolchildren aged 9-17.9 years: the FUPRECOL study. J Strength Cond Res 31(4): 990-998, 2017 - The aims of the present study were to generate normative vertical jump height and predicted peak power (P peak) data for 9- to 17.9-year-olds and to investigate between-sex and age group differences in these measures. This was a cross-sectional study of 7,614 healthy schoolchildren (boys n = 3,258 and girls n = 4,356, mean [SD] age 12.8 [2.3] years). Each participant performed 2 countermovement jumps; jump height was calculated using a Takei 5414 Jump-DF Digital Vertical (Takei Scientific Instruments Co., Ltd.). The highest jump was used for analysis and in the calculation of predicted P peak. Centile smoothed curves, percentiles, and tables for the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentiles were calculated using Cole's LMS (L [curve Box-Cox], M [curve median], and S [curve coefficient of variation]) method. The 2-way analysis of variance tests showed that maximum jump height (in centimeters) and predicted P peak (in watts) were higher in boys than in girls (p less than 0.01). Post hoc analyses within sexes showed yearly increases in jump height and P peak in all ages. In boys, the maximum jump height and predicted P peak 50th percentile ranged from 24.0 to 38.0 cm and from 845.5 to 3061.6 W, respectively. In girls, the 50th percentile for jump height ranged from 22.3 to 27.0 cm, and the predicted P peak was 710.1-2036.4 W. For girls, jump height increased yearly from 9 to 17.9 years old. Our results provide, for the first time, sex- and age-specific vertical jump height and predicted P peak reference standards for Colombian schoolchildren aged 9-17.9 years. © 2017 National Strength and Conditioning Association

Application of the allometric scale for the submaximal oxygen uptake in runners and rowers

Background: The aim of the current study was to determine the allometric exponents for runners and rower’s metabolic cost, while also verifying the relation of performance with and without the allometric application. Methods: Eleven runners (age: 22.3±10.4 years; height: 174±8.8 cm; body mass: 61.7±9.3 kg; maximum oxygen uptake ( •VO2max): 56.3±3.9 ml.kg[sup]-1[/sup].min[sup]-1[/sup]) and fifteen rowers (age: 24±5.4 years; height: 185.5±6.5 cm; body mass: 83.5±7.2 kg; •VO2max: 61.2±3.4 ml.kg[sup]-1[/sup].min[sup]-1[/sup]) carried out a specific progressive maximum test. The allometric exponent was determined from the logarithmic equation Log y = Log b Log x, where x is the mass, y is the VO2max (l.min[sup]-1[/sup]), a is one constant and b is the allometric exponent. The data were analyzed using descriptive and comparative statistics (independent T test of the Student), with p<0.05 (SPSS version 13.0). Results: The allometric exponent of the rowers was 0.70 and that of the runners was 1.00. Significant differences were found between the fat mass percentage, with higher value for rowers, suggesting that this variable may influence the behavior of the allometric exponent and consequently of the basal metabolic rate. Conclusions: Scaling may help in understanding variation in aerobic power and in defining the physiological limitations of work capacity

Vertical Jump and Leg Power Normative Data for Colombian Schoolchildren Aged 9-17.9 Years: The FUPRECOL Study

"Ramírez-Vélez, R, Correa-Bautista, JE, Lobelo, F, Cadore, EL, Alonso-Martinez, AM, and Izquierdo, M. Vertical jump and leg power normative data for Colombian schoolchildren aged 9-17.9 years: the FUPRECOL study. J Strength Cond Res 31(4): 990-998, 2017 - The aims of the present study were to generate normative vertical jump height and predicted peak power (P peak) data for 9- to 17.9-year-olds and to investigate between-sex and age group differences in these measures. This was a cross-sectional study of 7,614 healthy schoolchildren (boys n = 3,258 and girls n = 4,356, mean [SD] age 12.8 [2.3] years). Each participant performed 2 countermovement jumps; jump height was calculated using a Takei 5414 Jump-DF Digital Vertical (Takei Scientific Instruments Co., Ltd.). The highest jump was used for analysis and in the calculation of predicted P peak. Centile smoothed curves, percentiles, and tables for the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentiles were calculated using Cole's LMS (L [curve Box-Cox], M [curve median], and S [curve coefficient of variation]) method. The 2-way analysis of variance tests showed that maximum jump height (in centimeters) and predicted P peak (in watts) were higher in boys than in girls (p less than 0.01). Post hoc analyses within sexes showed yearly increases in jump height and P peak in all ages. In boys, the maximum jump height and predicted P peak 50th percentile ranged from 24.0 to 38.0 cm and from 845.5 to 3061.6 W, respectively. In girls, the 50th percentile for jump height ranged from 22.3 to 27.0 cm, and the predicted P peak was 710.1-2036.4 W. For girls, jump height increased yearly from 9 to 17.9 years old. Our results provide, for the first time, sex- and age-specific vertical jump height and predicted P peak reference standards for Colombian schoolchildren aged 9-17.9 years. © 2017 National Strength and Conditioning Association.

Noncoronary Vascular Calcification, Bone Mineral Density, and Muscle Mass in Institutionalized Frail Nonagenarians

The purpose of this study was to compare the vascular calcification in thoracic aorta (TAC), abdominal aorta (AAC), iliac arteries (IAC), and femoral arteries (FAC) and bone mineral density (BMD) of the lumbar vertebrae between frail and robust nonagenarians, as well as to verify the associations between vascular calcification with BMD, muscle tissue quality, and quantity in both groups. Forty-two elderly subjects participated in this study: 29 institutionalized frail (92.0 ± 3.2 years) and 13 robust (89.0 ± 4.0 years) elderly participants. All patients underwent nonenhanced helical thoracic, abdominal, and thigh computed tomography. The frail group presented significantly greater FAC as well as less lumbar BMD than the robust group (p less than 0.05). In the frail group, significant negative relationships were observed between the individual values of FAC with the individual values of BMD (r = -0.35 to -0.43, p less than 0.05) and with the individual values of the quadriceps muscle quantity and quality (r = -0.52, p less than 0.01), whereas no significant relationships were observed in the robust group. The robust group presented less vascular calcification and more BMD in the vertebral bodies than the frail group. In the frail group, femoral artery calcification was significantly negatively correlated with BMD, leg muscle quality, and muscle mass volume. © Mary Ann Liebert, Inc. 2017

Noncoronary Vascular Calcification, Bone Mineral Density, and Muscle Mass in Institutionalized Frail Nonagenarians

The purpose of this study was to compare the vascular calcification in thoracic aorta (TAC), abdominal aorta (AAC), iliac arteries (IAC), and femoral arteries (FAC) and bone mineral density (BMD) of the lumbar vertebrae between frail and robust nonagenarians, as well as to verify the associations between vascular calcification with BMD, muscle tissue quality, and quantity in both groups. Forty-two elderly subjects participated in this study: 29 institutionalized frail (92.0 ± 3.2 years) and 13 robust (89.0 ± 4.0 years) elderly participants. All patients underwent nonenhanced helical thoracic, abdominal, and thigh computed tomography. The frail group presented significantly greater FAC as well as less lumbar BMD than the robust group (p less than 0.05). In the frail group, significant negative relationships were observed between the individual values of FAC with the individual values of BMD (r = -0.35 to -0.43, p less than 0.05) and with the individual values of the quadriceps muscle quantity and quality (r = -0.52, p less than 0.01), whereas no significant relationships were observed in the robust group. The robust group presented less vascular calcification and more BMD in the vertebral bodies than the frail group. In the frail group, femoral artery calcification was significantly negatively correlated with BMD, leg muscle quality, and muscle mass volume. © Mary Ann Liebert, Inc. 2017

Acute effects of high-intensity interval, resistance or combined exercise protocols on testosterone – cortisol responses in inactive overweight individuals

The purpose of this study was to compare the hormonal responses to one session of high-intensity interval training (HIIT, 4 × 4 min intervals at 85–95% maximum heart rate [HRmax], interspersed with 4 min of recovery at 75–85% HRmax), resistance training (RT at 50–70% of one repetition maximum 12–15 repetitions per set with 60s of recovery) or both (HIIT+RT) exercise protocol in a cohort of physical inactivity, overweight adults (age 18–30 years old). Randomized, parallel-group clinical trial among fifty-one men (23.6 ± 3.5 yr; 83.5 ± 7.8 kg; 28.0 ± 1.9 kg/m2), physical inactivity (i.e., and lt;150 min of moderate-intensity exercise per week for and gt;6 months), with abdominal obesity (waist circumference ?90 cm) or body mass index ?25 and ?30 kg/m 2 were randomized to the following 4 groups: high-intensity interval training (HIIT, n = 14), resistance training (RT, n = 12), combined high-intensity interval and resistance training (HIIT+RT, n = 13), or non-exercising control (CON, n = 12). Cortisol, total- and free-testosterone and total-testosterone/cortisol-ratio (T/C) assessments (all in serum) were determined before (pre) and 1-min post-exercise for each protocol session. Decreases in cortisol levels were ?57.08 (95%CI, ?75.58 to ?38.58; P = 0.001; ? 2 = 0.61) and ? 37.65 (95%CI, ?54.36 to ?20.93; P = 0.001; ? 2 = 0.51) in the HIIT and control group, respectively. Increases in T/C ratio were 0.022 (95%CI, 0.012 to 0.031; P = 0.001; ? 2 = 0.49) and 0.015 (95%CI, 0.004 to 0.025; P = 0.007; ? 2 = 0.29) in the HIIT and control group, respectively. In per-protocol analyses revealed a significant change in cortisol levels [interaction effect F( 7.777 ), ? 2 = 0.33] and T/C ratio [interaction effect F( 5.298 ), ? 2 = 0.25] between groups over time. Additionally, we showed that in both the intention-to-treat (ITT) and per protocol analyses, HIIT+RT did not change serum cortisol, total or free testosterone. The present data indicate a HIIT reduced cortisol and increased total-testosterone/cortisol-ratio levels significantly in physically inactive adults. Further study is required to determine the biological importance of these changes in hormonal responses in overweight men. © 2018 Elsevier Inc

Acute effects of high-intensity interval, resistance or combined exercise protocols on testosterone – cortisol responses in inactive overweight individuals

The purpose of this study was to compare the hormonal responses to one session of high-intensity interval training (HIIT, 4 × 4 min intervals at 85–95% maximum heart rate [HRmax], interspersed with 4 min of recovery at 75–85% HRmax), resistance training (RT at 50–70% of one repetition maximum 12–15 repetitions per set with 60s of recovery) or both (HIIT+RT) exercise protocol in a cohort of physical inactivity, overweight adults (age 18–30 years old). Randomized, parallel-group clinical trial among fifty-one men (23.6 ± 3.5 yr; 83.5 ± 7.8 kg; 28.0 ± 1.9 kg/m2), physical inactivity (i.e., and lt;150 min of moderate-intensity exercise per week for and gt;6 months), with abdominal obesity (waist circumference ?90 cm) or body mass index ?25 and ?30 kg/m 2 were randomized to the following 4 groups: high-intensity interval training (HIIT, n = 14), resistance training (RT, n = 12), combined high-intensity interval and resistance training (HIIT+RT, n = 13), or non-exercising control (CON, n = 12). Cortisol, total- and free-testosterone and total-testosterone/cortisol-ratio (T/C) assessments (all in serum) were determined before (pre) and 1-min post-exercise for each protocol session. Decreases in cortisol levels were ?57.08 (95%CI, ?75.58 to ?38.58; P = 0.001; ? 2 = 0.61) and ? 37.65 (95%CI, ?54.36 to ?20.93; P = 0.001; ? 2 = 0.51) in the HIIT and control group, respectively. Increases in T/C ratio were 0.022 (95%CI, 0.012 to 0.031; P = 0.001; ? 2 = 0.49) and 0.015 (95%CI, 0.004 to 0.025; P = 0.007; ? 2 = 0.29) in the HIIT and control group, respectively. In per-protocol analyses revealed a significant change in cortisol levels [interaction effect F( 7.777 ), ? 2 = 0.33] and T/C ratio [interaction effect F( 5.298 ), ? 2 = 0.25] between groups over time. Additionally, we showed that in both the intention-to-treat (ITT) and per protocol analyses, HIIT+RT did not change serum cortisol, total or free testosterone. The present data indicate a HIIT reduced cortisol and increased total-testosterone/cortisol-ratio levels significantly in physically inactive adults. Further study is required to determine the biological importance of these changes in hormonal responses in overweight men. © 2018 Elsevier Inc