Literature DB >> 7227408

Adult age trends in record running performances.

M J Stones, A Kozma.   

Abstract

Age trends in record running performances, over distances from 100 yards to the marathon, were analyzed for males between 40-74 years. Within event distances, an exponential model most accurately related performance time to age. In terms of this model, rate of age decline in running performance was greater for middle and longer distance events than for sprints. Within age-levels, linear and power models were highly accurate in relating performance time to event distance. A general model, that proved highly accurate in accounting for variance in performance times over the full age and distance ranges, expressed performance as the product of a power function of distance and an exponential function of age. Findings are discussed in terms of anaerobic and aerobic processes that underlie running performance at different event distances.

Mesh:

Year:  1980        PMID: 7227408     DOI: 10.1080/03610738008258376

Source DB:  PubMed          Journal:  Exp Aging Res        ISSN: 0361-073X            Impact factor:   1.645


  5 in total

1.  Left ventricular chamber size predicts the race time of Japanese participants in a 100 km ultramarathon.

Authors:  J Nagashima; H Musha; H Takada; M Murayama
Journal:  Br J Sports Med       Date:  2006-04       Impact factor: 13.800

2.  Sprint and endurance power and ageing: an analysis of master athletic world records.

Authors:  Jörn Rittweger; Pietro Enrico di Prampero; Nicola Maffulli; Marco V Narici
Journal:  Proc Biol Sci       Date:  2009-02-22       Impact factor: 5.349

3.  Age Differences, Age Changes, and Generalizability in Marathon Running by Master Athletes.

Authors:  Michael John Stones
Journal:  Front Psychol       Date:  2019-09-20

4.  Sub 3-Hour Marathon Runners for Five Consecutive Decades Demonstrate a Reduced Age-Related Decline in Performance.

Authors:  Romuald Lepers; Amby Burfoot; Paul J Stapley
Journal:  Front Physiol       Date:  2021-02-23       Impact factor: 4.566

5.  Gender and Age Patterns in NSGA Swim Competitions.

Authors:  David P Doane; Lori E Seward; Kevin Murphy
Journal:  J Aging Res       Date:  2022-07-18
  5 in total

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