Functional Lower-Body Power: A Comparison Study Between Physically Inactive, Recreationally Active, and Masters Athlete Late-Middle-Aged Adults

2016 ◽  
Vol 24 (4) ◽  
pp. 501-507 ◽  
Author(s):  
Jordan M. Glenn ◽  
Michelle Gray ◽  
Jennifer L. Vincenzo ◽  
Matthew S. Stone

Muscular power decreases with age, and lower-body power relates to overall functional fitness; however, functional lower-body power has not been evaluated in late-middle-aged (LMA) populations. Purpose:To evaluate average and peak lower-body functional power and velocity among sedentary (SED), recreationally active (RA), and masters athlete (MA) LMA adults.Methods:Participants were SED (n = 13, age = 59.3 ± 4.5 years), RA (n = 35, age = 59.6 ± 5.0 years), and MA (n = 26, age = 56.7 ± 5.4 years). Five sit-to-stand trials were completed to assess lower-body functional power. Average/peak power and velocity were calculated for each trial. Power was expressed relatively to account for participant body weight. Results:MA (13.44 ± 2.76 W/kg) had significantly (p < .01) greater peak power compared with SED (9.99 ± 2.70 W/ kg) and RA (9.93 ± 2.30 W/kg). Similar significant (p < .01) differences existed for peak velocity (SED = 1.02 ± 0.22 m/s, RA = 1.04 ± 0.22 m/s, MA = 1.25 ± 0.19 m/s). No differences existed for average power or velocity between groups.Conclusions:Maintaining a competitively active lifestyle results in greater lower-body functional power in LMA adults and may support longitudinal functionality.

2015 ◽  
Vol 23 (3) ◽  
pp. 433-437 ◽  
Author(s):  
Jordan M. Glenn ◽  
Jennifer Vincenzo ◽  
Collin K. Canella ◽  
Ashley Binns ◽  
Michelle Gray

Gait speed predicts survival in older adults; however, gait has not been evaluated in late middle-aged (LMA) populations.Purpose:Evaluate single- and dual-task gait speeds among sedentary (SED), recreationally active (RA), and masters athlete (MA) LMA adults.Methods:Participants were SED (n = 20, age = 61.0 ± 5.8), RA (n = 57, age = 63.5 ± 8.4), and MA (n = 25, age = 57.5 ± 7.9). Two trials of each task (10 m) were completed: habitual speed (HS), maximal speed (MS), dual-task (counting backward from a number by 3) habitual speed (DT-HS), and dual-task maximal speed (DT-MS).Results:MA (2.08 ± 0.63 m/s) had significantly (p < .05) greater MS compared with SED (1.94 ± 0.30 m/s) and RA (1.99 ± 0.53 m/s). Similar differences existed for DT-MS (SED = 1.77 ± 0.32 m/s, RA = 1.80 ± 0.51 m/s, MA = 1.89 ± 0.63 m/s). MA had smaller MS and DT-MS changes (difference between MS and DT-MS speeds) compared with RA (12%) and SED (13%).Conclusion:Maintaining a competitively active lifestyle increases MS in LMA adults and may support healthy aging.


2021 ◽  
Vol 10 (5) ◽  
pp. 988
Author(s):  
Nathaniel R. Johnson ◽  
Christopher J. Kotarsky ◽  
Kyle J. Hackney ◽  
Kara A. Trautman ◽  
Nathan D. Dicks ◽  
...  

Ultrasonography advantageously measures skeletal muscle size and quality, but some muscles may be too large to capture with standardized brightness mode (B-mode) imaging. Panoramic ultrasonography can capture more complete images and may more accurately measure muscle size. We investigated measurements made using panoramic compared to B-mode ultrasonography images of the rectus femoris with muscular performance. Concurrently, protein intake plays an important role in preventing sarcopenia; therefore, we also sought to investigate the association between animal-based protein intake (ABPI) and muscular performance. Ninety-one middle-aged adults were recruited. Muscle cross-sectional area (CSA) and thickness were obtained using B-mode and panoramic ultrasound and analyzed with Image J software. Muscular performance was assessed using isokinetic dynamometry, a 30-s chair test, and handgrip strength. Three-day food diaries estimated dietary intakes. Linear regression models determined relationships between measures from ultrasonography and muscular performance. Mixed linear models were used to evaluate the association between ABPI and muscular performance. Muscle CSA from panoramic ultrasonography and ABPI were positively associated with lower-body strength (β ± S.E.; CSA, 42.622 ± 20.024, p = 0.005; ABPI, 65.874 ± 19.855, p = 0.001), lower-body endurance (β ± S.E.; CSA, 595 ± 200.221, p = 0.001; ABPI, 549.944 ± 232.478, p = 0.020), and handgrip strength (β ± S.E.; CSA, 6.966 ± 3.328, p = 0.004; ABPI, 0.349 ± 0.171, p = 0.045). Panoramic ultrasound shows promise as a method for assessing sarcopenia. ABPI is related to better muscular performance.


2017 ◽  
Vol 25 (2) ◽  
pp. 305-310 ◽  
Author(s):  
Jordan M. Glenn ◽  
Michelle Gray ◽  
Jennifer Vincenzo ◽  
Sally Paulson ◽  
Melissa Powers

This investigation examined differences in functional sit-to-stand power/velocity between cohorts of adults aged 18–97 years. This study included 264 healthy adults classified into four cohorts (18–40, C1; 60–69, C2; 70–79, C2; ≥ 80, C4). Participants completed the sit-to-stand task five times. Power and velocity were measured via the TENDO power analyzer. Absolute average power was maintained from C1–C3, but decreased (p < .01) in C4. Absolute peak power decreased between C1–C2 (p < .01), was similar between C2–C3, and decreased in C4 (p < .01). Relative (to body weight) average and peak power decreased between C1–C2 (p < .01), was similar between C2–C3, and decreased in C4 (p < .01). Average velocity was similar between C1 and C2, but decreased in C3 (p < .01) and C4 (p < .01), respectively. Peak velocity was significantly different between all cohorts (p < .01). Declines in functional power may plateau during the seventh and eighth decades, accelerating after 80 years.


2018 ◽  
Vol 14 (1) ◽  
pp. 82-90 ◽  
Author(s):  
Thomas W Jones ◽  
Karen Keane ◽  
Andrew Smith ◽  
Jack Dent ◽  
Kevin McShane ◽  
...  

The purpose of this study was to compare anthropometric and lower body power measurements between current professional and amateur male rugby union players. The present study also sought to determine which anthropometric and physical performance variables were predictive of playing standard. Thirty professional and 30 amateur RU players performed Wattbike 6 s maximal effort (WB6S) and countermovement (CMJ) and squat jump (SJ) assessments, anthropometric measures were also taken. Dependant variables recorded and analysed including: body mass, stature, Σ8 site skinfolds, WB6S absolute and relative peak power, CMJ and SJ average concentric force, jump height, peak velocity, time to peak force, rate of force development (RFD) and absolute and relative peak force and power. Professional players were heavier, taller and leaner than their amateur counterparts ( p < 0.05). Professional players performed significantly better in all physical performance measures except CMJ and SJ time to peak force, CMJ RFD and SJ relative peak force. Variables which were predictive of playing standard were: Σ8 skinfolds, CMJ peak velocity and WB6S absolute and relative peak power ( p < 0.05). These findings indicate that the current body of male professional RU players is anthropometrically and physically superior to their amateur counterparts, although not all variables assessed here were predictive of playing standard. Data presented here indicate that Σ8 skinfolds, WB6S absolute and relative power and CMJ peak velocity are predictive of playing standard, whereas other anthropometric and strength and power variables are not.


2017 ◽  
Vol 49 (5S) ◽  
pp. 224-225
Author(s):  
Daniel M. Rosney ◽  
Dmitriy V. Belous ◽  
Mingmei Tian ◽  
Courtney E. Miller ◽  
Katherine T. O’Donnell ◽  
...  

Author(s):  
Anthony Campitelli ◽  
Sally Paulson ◽  
Jennifer Vincenzo ◽  
Jordan M. Glenn ◽  
Joshua L. Gills ◽  
...  

Lower-body power measured by a linear position transducer during the sit-to-stand (STS) movement declines with age and may be a predictor of physical disability in older adults. The purpose of this study was to establish normative data for STS power across the lifespan and to determine if differences exist between age cohorts, sexes, and age cohort–sex subgroups. Adults (N = 557) aged 18–89 were divided into five age cohorts and performed the STS connected to a linear position transducer, which calculated power and velocity during the movement. Significantly lower (p < .01) velocity was observed in a younger age cohort in females than males, whereas males saw a significant average power decrement (p < .01) in a younger age cohort than females. STS power norms give clinicians a metric predicting physical disability and may be of particular interest to males as their power production begins to decline at an earlier age.


Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6644
Author(s):  
Clayton W. Swanson ◽  
Brett W. Fling

Age-related mobility research often highlights significant mobility differences comparing neurotypical young and older adults, while neglecting to report mobility outcomes for middle-aged adults. Moreover, these analyses regularly do not determine which measures of mobility can discriminate groups into their age brackets. Thus, the current study aimed to provide a comprehensive analysis for commonly performed aspects of mobility (walking, turning, sit-to-stand, and balance) to determine which variables were significantly different and furthermore, able to discriminate between neurotypical young adults (YAs), middle-aged adults (MAAs), and older adults (OAs). This study recruited 20 YAs, 20 MAAs, and 20 OAs. Participants came into the laboratory and completed mobility testing while wearing wireless inertial sensors. Mobility tests assessed included three distinct two-minute walks, 360° turns, five times sit-to-stands, and a clinical balance test, capturing 99 distinct mobility metrics. Of the various mobility tests assessed, only 360° turning measures demonstrated significance between YAs and MAAs, although the capacity to discriminate between groups was achieved for gait and turning measures. A variety of mobility measures demonstrated significance between MAAs and OAs, and furthermore discrimination was achieved for each mobility test. These results indicate greater mobility differences between MAAs and OAs, although discrimination is achievable for both group comparisons.


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