Anthropometric and training characteristics of female marathon runners as determinants of distance running performance

Bale, Peter; Rowell, Sarah; Colley, Elizabeth

doi:10.1080/02640418508729741

Cited by 81 publications

(76 citation statements)

References 13 publications

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“…For endurance sports like marathon running, the maximal oxygen uptake, the lactate threshold and the energy cost of running appear to play key roles in endurance performance ( (1981,1987) and Bale et al (1985) were among the first to point out that some training indices (such as the training pace or the mean distance run per day) are also highly predictive of MPT. Florence & Weir (1997) established a correlation between critical velocity CV (a velocity determined during tests involving a series of fatiguing runs on a treadmill) and MPT; their data showed that marathon time correlated more highly with CV than either peak oxygen consumption or ventilatory threshold.…”

Section: Introductionmentioning

confidence: 99%

Prediction of marathon performance time on the basis of training indices

Tanda¹

2011

jhse

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Tanda G. Prediction of marathon performance time on the basis of training indices. J. Hum. Sport Exerc. Vol. 6, No. 3, pp. 511-520, 2011. The purpose of this study was to examine the relationship between marathon performance time (MPT) and some training factors recorded for a given number of weeks prior to a race. Twenty-two runners, age 28-54 years, participated as subjects in this investigation. They kept daily exercise records during their marathon training for an overall number of 46 races, whose marathon time ranged from 167 to 216 min. Among the several parameters investigated, MPT was found to be affected mainly by the mean distance run per week K, during the training period under observation, and by the mean training pace P. These two training parameters have been combined by a mathematical approach to give a correlation for the prediction of the mean marathon pace P m (easily related to MPT), based on an 8-week training period, as follows: P m (sec/km) = 17.1 + 140.0 exp [-0.0053 K(km/week)] + 0.55 P (sec/km). The above correlation is able to estimate the MPT with a SEE of about 4 min.

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Section: Introductionmentioning

confidence: 99%

Prediction of marathon performance time on the basis of training indices

Tanda¹

2011

jhse

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“…In some studies, a relationship between skin-fold thicknesses and performance has been described. Rowell and Colley, 1985). The length of the upper leg has shown an association with running times over 800 m, 1,500 m and 5,000 m (Tanaka and Matsuura, 1982).…”

Section: Introductionmentioning

confidence: 99%

Skin-fold thickness and race performance in male mountain ultra-marathoners

Knechtle¹,

Rosemann²

2009

jhse

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Recent studies showed in high level runners both an association between selected skin-fold thicknesses at the lower limb and running performance and between thickness of skin-fold and training. We investigated the association of skin-fold thicknesses with total race time in 25 male mountain ultra-marathoners with 44.5 (7.0) years, 73.0 (7.8) kg body mass, 1.78 (0.07) m body height and a BMI of 22.9 (1.8) kg/m 2 in a 7-day mountain ultra-marathon over 350 km with 11,000 m of altitude. The relationship of skin-fold thickness and both intensity and volume during training with total race time as the dependent variable was investigated using multiple linear regression analysis. A significant association of the calf skin-fold with total race time was found (r 2 = 0.19, p < 0.05). No relationship between skin-fold thickness and both average running speed and volume in training could be demonstrated. We concluded that the calf skin-fold showed a small to moderate association with total race time, however, the thickness of calf skin-fold was not related to training parameters.

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“…According to Schumacher et al (11), long-term training is of outmost importance for success in elite cycling. Regarding the literature, training parameters seem to be of importance in the prediction of performance in endurancerunners (12,13,22). According to Christensen and Ruhling (24), improved performance in marathon runners is associated with higher aerobic capacity and years of training, not with body dimensions.…”

Section: Discussionmentioning

confidence: 99%

“…According to Christensen and Ruhling (24), improved performance in marathon runners is associated with higher aerobic capacity and years of training, not with body dimensions. In marathon finishers, the longest mileage covered per training session is the best predictor for a successful completion of a marathon (25), and the number of training sessions per week and the number of years training were the best predictors of competitive performance at the marathon distance (22). Scrimgeour et al (26) found that runners training for more than 100 km per week have significantly faster race times over 10 to 90 km than athletes covering less than 100 km.…”

Section: Discussionmentioning

confidence: 99%