Cited by 148Cardiovascular and exercise physiologySports Performance and TrainingPhysical Activity and Health

Validity of the revised Ekblom Bak cycle ergometer test in adults

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Björkman, Frida, Ekblom-Bak, Elin, Ekblom, Örjan, Ekblom, Björn·2016·European Journal of Applied Physiology

Abstract

PURPOSE: To further develop the Ekblom Bak-test prediction equation for estimation of VO2max from submaximal cycle ergometry. METHODS: The model group (117 men and 100 women, aged 48.3 ± 15.7 and 46.1 ± 16.8 years, VO2max 46.6 ± 11.1 and 40.4 ± 9.6 mL kg(-1) min(-1), respectively) and the cross-validation group (60 men and 55 women, aged 40.6 ± 17.1 and 41.6 ± 16.7 years, VO2max 49.0 ± 12.1 and 43.2 ± 8.9 mL min(-1) kg(-1), respectively) performed 4 min of cycling on a standard work rate (30 W) directly followed by 4 min on a higher work rate. Heart rate (HR) at each work rate was recorded. Thereafter, participants completed a graded maximal treadmill test for direct measurement of oxygen uptake. The new prediction equation was cross-validated and accuracy compared with the original Ekblom Bak equation as well as by the Åstrand test method. RESULTS: The final sex-specific regression models included age, change in HR per-unit change in power (ΔHR/ΔPO), the difference in work rates (ΔPO), and HR at standard work rate as independent variables. The adjusted R (2) for the final models were 0.86 in men and 0.83 in women. The coefficient of variation (CV) was 8.7 % and SEE 0.28 L min(-1). The corresponding CV and SEE values for the EB-test2012 and the Åstrand tests were 10.9 and 18.1 % and 0.35 and 0.48 L min(-1), respectively. CONCLUSION: The new EB-test prediction equation provides an easy administered and valid estimation of VO2max for a wide variety of ages (20-86 years) and fitness levels (19-76 mL kg(-1) min(-1)).

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References 37 · Cited by 148

Authors
Björkman, F., Ekblom-Bak, E., Ekblom, Ö., & Ekblom, B.
Affiliations
Swedish School of Sport and Health Sciences (SE)
Corresponding author
Björkman, Frida
Venue
European Journal of Applied Physiology
Published
2016-06-16
Volume
116
Issue
9
Pages
1627-1638
ISSN
  • 0020-9376 (ISSN-L)
  • 1439-6319
  • 1439-6327
OpenAlex
W2439515440
Cited by
148
References
37
Citations by year
2026: 14 · 2025: 13 · 2024: 20 · 2023: 22 · 2022: 11 · 2021: 22 · 2020: 26 · 2019: 11 · 2018: 5 · 2017: 4
FWCI
13.71
Type
journal article
Language
en
Open access
Locations
  • European Journal of Applied Physiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
Topics
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
Keywords
VO2max prediction, prediction equations, adults, cardiorespiratory fitness assessment
MeSH terms
Cardiorespiratory Fitness, Adult, Algorithms, Diagnosis, Computer-Assisted, Exercise Test, Physical Exertion, Female, Heart Rate, Humans, Male, Middle Aged, Oxygen Consumption, Sensitivity and Specificity, Reproducibility of Results

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