Summary
The current investigation was designed to determine which factor or what combination of factors would best account for distance running performance in middle-aged and elderly runners (mean age 57.5 years SD±9.7) with heterogeneous training habits. Among 35 independent variables which were arbitrarily selected as possible prerequisites in the distance running performance of these runners, oxygen uptake\((\dot V_{O_2 } )\) at lactate threshold (LT) (r=0.781∼0.889), maximal oxygen uptake\((\dot V_{O_{2max} } )\) (r=0.751∼0.886), and chronological age (r=−0.736∼−0.886) were found to be the 3 predictor variables showing the highest correlations with the mean running velocity at 5 km (V 5 km), 10 km (V 10 km), and marathon (V M). When all independent variables were used in a multiple regression analysis, any 3 or 4 variables selected from among\(\dot V_{O_2 } \) at LT, chronological age, systolic blood pressure (SBP), atherogenic index (AI), and Katsura index (KI) were found to give the best explanation ofV 5 km,V 10 km, orV M in a combined linear model. Linear multiple regression equations constructed for predicting the running performances were:V 5 km=0.046X 1−0.026X 2−0.0056X 3+5.17,V 10 km=0.028X 1−0.028X 2−0.190X 4−1.34X 5+6.45, andV M=−0.0400X 2−0.324X 4−1.16X 5+7.36, where\(X_1 = \dot V_{O_2 } \) at LT (ml·min−1·kg−1),X 2 = chronological age,X 3=SBP,X 4=AI, andX 5=KI. We suggest that distance running performance of middle-aged and elderly runners could be predicted with a relatively high accuracy by a single predictor of\(\dot V_{O_2 } \) at LT or\(\dot V_{O_{2max} } \), or by a combination of either of these predictors with more easily measurable indices such as age, AI, KI, or SBP. The prediction equations which have been developed can be applied to a larger population of middle-aged and elderly runners.
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Data were collected at the Human Performance Laboratory, Hiroshima University
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Tanaka, K., Takeshima, N., Kato, T. et al. Critical determinants of endurance performance in middle-aged and elderly endurance runners with heterogeneous training habits. Europ. J. Appl. Physiol. 59, 443–449 (1990). https://doi.org/10.1007/BF02388626
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DOI: https://doi.org/10.1007/BF02388626