Lab Report Sample: Estimating VO2 Max With the Queens College Step Test

Model Answer

Abstract

This laboratory report describes the estimation of maximal oxygen uptake (VO2 max) in a sample of undergraduate sport science students using the Queens College Step Test, a submaximal, field-based predictor of aerobic fitness. Twenty-four participants (12 male, 12 female) completed a standardised three-minute step protocol at a fixed cadence, and post-exercise heart rate was used to estimate VO2 max via the established McArdle regression equations. Mean estimated VO2 max was 49.2 mL/kg/min (SD = 3.9) for male participants and 37.0 mL/kg/min (SD = 2.1) for female participants, values broadly consistent with published normative data for this age group. The results demonstrate the practical utility of the step test as an accessible, low-cost method of estimating aerobic capacity in applied and educational settings.

Introduction

Maximal oxygen uptake, or VO2 max, is widely regarded as the single best physiological indicator of cardiorespiratory fitness, reflecting the maximum rate at which the body can take up, transport and use oxygen during intense exercise (Astrand and Rodahl, 1986). Direct measurement of VO2 max requires expired-gas analysis during a maximal, incremental exercise test to exhaustion, typically performed on a treadmill or cycle ergometer with specialist equipment; this makes direct testing expensive, time-consuming and unsuitable for many field, coaching or teaching settings, and unsafe for some populations (Grant et al., 1995).

To address this, a number of submaximal field tests have been developed that estimate VO2 max from the relationship between heart rate and oxygen consumption during standardised, sub-maximal exercise, exploiting the fact that heart rate rises in a broadly linear fashion with workload up to near-maximal intensities. The Queens College Step Test, developed by McArdle and colleagues, is one of the most widely used of these tests: participants step up and down from a fixed-height bench at a set cadence for three minutes, and the heart rate recorded immediately after exercise is entered into a sex-specific regression equation to predict VO2 max (McArdle, Katch and Katch, 2015). Because it requires only a step, a metronome and a means of measuring heart rate, the test is inexpensive, quick to administer to groups, and well suited to classroom and applied coaching contexts, including strength and conditioning settings with limited laboratory access. Other well-established field-based alternatives include time-based tests such as Cooper’s (1968) 12-minute run test, which estimates VO2 max from distance covered in a fixed period; unlike the step test, however, such tests demand a genuinely maximal effort from participants and access to a suitable running track, making the sub-maximal, space-efficient step test preferable for many indoor teaching and screening contexts.

Validation studies have generally reported moderate-to-strong correlations between step-test-predicted and directly measured VO2 max, though with a non-trivial standard error of estimate, meaning the test is more useful for tracking relative fitness and group comparisons than for precise individual prescription (Chatterjee, Chatterjee and Bandyopadhyay, 2004). Beyond the classroom, tests of this kind are used routinely by strength and conditioning coaches, sports scientists and occupational health practitioners to screen large groups of athletes, recruits or employees for baseline aerobic fitness, to track training-related changes across a season, and to flag individuals who may benefit from more detailed, laboratory-based assessment, precisely because a step test can be delivered to many participants in a short space of time without specialist gas-analysis equipment (Golding, 2000).

The present study aimed to administer the Queens College Step Test to a sample of undergraduate sport science students, estimate VO2 max for each participant, and compare the resulting values against published age-related normative data. It was hypothesised, consistent with well-established sex differences in aerobic capacity, that estimated VO2 max would be higher in male than in female participants (Astrand and Rodahl, 1986).

Method

Design. This study used a single-session, cross-sectional field-test design. The independent variable was participant sex (male, female); the dependent variables were post-exercise heart rate and estimated VO2 max, derived from the McArdle regression equations.

Participants. Twenty-four undergraduate sport science students (12 male, 12 female; M age = 20.5 years, SD = 1.2) volunteered to take part as part of a practical exercise physiology class. All participants were recreationally active, free from injury and cleared as low-risk on a standard pre-exercise health screening questionnaire, which asked about cardiovascular symptoms, current illness and recent injury; anyone answering positively to any screening item would have been excluded, though no participant was excluded on this basis. Participants provided informed consent, and the protocol received departmental ethical approval.

Apparatus. Testing used a 16.25-inch (41.3 cm) step, a metronome set to 96 beats per minute to produce a cadence of 24 steps per minute (a four-count up-up-down-down cycle), a digital stopwatch, and a chest-strap heart rate monitor for continuous heart rate recording.

Procedure. Following a five-minute self-paced warm-up, each participant stepped up and down on the step at the fixed cadence of 24 steps per minute for three minutes, guided throughout by the metronome. Immediately on completion, participants sat down, and heart rate was recorded for a 15-second count beginning 5 seconds after exercise stopped; this 15-second count was multiplied by four to give heart rate in beats per minute. This post-exercise heart rate was entered into the appropriate sex-specific McArdle regression equation: for men, VO2 max (mL/kg/min) = 111.33 − (0.42 × heart rate); for women, VO2 max (mL/kg/min) = 65.81 − (0.1847 × heart rate) (McArdle, Katch and Katch, 2015).

Analysis. Mean and standard deviation of post-exercise heart rate and estimated VO2 max were calculated separately for male and female participants and compared descriptively against published normative fitness categories for this age group (ACSM, 2021).

Results

Table 1 shows mean post-exercise heart rate and estimated VO2 max for male and female participants. As expected, male participants showed both a lower mean post-exercise heart rate and a correspondingly higher estimated VO2 max than female participants.

Table 1. Mean post-exercise heart rate and estimated VO2 max by sex (N = 24).

A worked example illustrates the calculation for an individual male participant. His 15-second post-exercise heart rate count was 37 beats, giving a heart rate of 37 × 4 = 148 bpm, matching the group mean. Substituting this into the male regression equation: VO2 max = 111.33 − (0.42 × 148) = 111.33 − 62.16 = 49.17 mL/kg/min. For an individual female participant with a post-exercise heart rate of 156 bpm: VO2 max = 65.81 − (0.1847 × 156) = 65.81 − 28.81 = 37.00 mL/kg/min. Because the regression equations are linear transformations of heart rate, the standard deviation of estimated VO2 max can be derived directly from the standard deviation of heart rate multiplied by the (absolute) regression coefficient; for the male group, 0.42 × 9.4 = 3.95 mL/kg/min, closely matching the value reported in Table 1.

Using published normative fitness categories for this age band (ACSM, 2021), the male group mean of 49.2 mL/kg/min falls within the ‘good’ category, and the female group mean of 37.0 mL/kg/min falls within the ‘fair-to-good’ category, indicating that this sample showed an average-to-above-average level of aerobic fitness relative to age- and sex-matched peers.

Discussion

This study estimated VO2 max in a sample of undergraduate sport science students using the Queens College Step Test, finding higher estimated aerobic capacity in male than in female participants, consistent with the study hypothesis and with well-established sex differences in cardiorespiratory fitness driven largely by differences in haemoglobin concentration, heart size and body composition (Astrand and Rodahl, 1986). The resulting group means fell within expected normative ranges for this age group, suggesting the test was administered and interpreted appropriately and that the results are broadly credible.

The Queens College Step Test offers clear practical advantages over direct gas-analysis testing: it is quick, inexpensive, requires minimal equipment, and can be administered to groups simultaneously, making it attractive for coaching, teaching and mass-screening contexts (McArdle, Katch and Katch, 2015). However, its validity depends on several assumptions that do not hold equally well for all individuals. The regression equations assume a broadly linear and reasonably consistent relationship between heart rate and oxygen consumption at the tested workload, and assume a similar mechanical efficiency of stepping across participants; in reality, mechanical efficiency, cardiac drift during exercise, and individual variation in the heart rate-VO2 relationship all introduce error, and validation studies typically report a standard error of estimate in the region of several mL/kg/min when compared against directly measured VO2 max (Chatterjee, Chatterjee and Bandyopadhyay, 2004; Sartor et al., 2013). The test should therefore be treated as a useful estimate rather than a precise measurement, particularly for individuals whose fitness or stepping efficiency differs substantially from the original validation samples.

Several further limitations apply to the present study specifically. Heart rate was recorded manually via a short count period rather than continuously, which introduces some measurement imprecision, and testing occurred in a single session without a familiarisation trial, meaning some of the observed variability may reflect unfamiliarity with the stepping cadence rather than true fitness differences. The sample was small, drawn from a single university cohort of recreationally active sport science students, and is therefore unlikely to be representative of the wider population; caution is needed before generalising these normative comparisons beyond similar student samples. No test-retest reliability data were collected, so the consistency of individual estimates across repeated administrations remains unknown.

Future work would benefit from comparing step-test estimates directly against gold-standard expired-gas analysis within the same sample, to establish an empirical measure of the test’s validity in this specific population, and from examining test-retest reliability across separate testing sessions. Extending the protocol to include a wider range of fitness levels, rather than a single recreationally active student cohort, would also help clarify whether the accuracy of the step-test prediction varies systematically with underlying aerobic fitness.

From an applied perspective, these results illustrate why field tests such as the Queens College Step Test remain popular in coaching and strength and conditioning practice despite their known imprecision: a coach working with a squad of twenty or more athletes rarely has access to a metabolic cart, but can complete step testing for an entire group within a single training session, generating comparative fitness data that is directly useful for grouping athletes by conditioning level, monitoring pre-season fitness gains, and identifying individuals who may need additional aerobic conditioning work, even though the absolute VO2 max values produced should be treated as estimates rather than precise physiological measurements.

Conclusion

This report used the Queens College Step Test to estimate VO2 max in 24 undergraduate sport science students, finding mean values of 49.2 mL/kg/min for male participants and 37.0 mL/kg/min for female participants, both within expected normative ranges for this age group and consistent with established sex differences in aerobic fitness. The step test proved straightforward to administer to a group setting and produced results in line with published norms, supporting its continued use as a practical, low-cost tool for estimating aerobic fitness in applied and educational contexts, while its known limitations mean it should not be treated as a substitute for laboratory-based gas-analysis testing where precise individual measurement is required.

References

• American College of Sports Medicine (ACSM) (2021) ACSM’s Guidelines for Exercise Testing and Prescription. 11th edn. Philadelphia: Wolters Kluwer.
• Astrand, P.O. and Rodahl, K. (1986) Textbook of Work Physiology: Physiological Bases of Exercise. 3rd edn. New York: McGraw-Hill.
• Chatterjee, S., Chatterjee, P. and Bandyopadhyay, A. (2004) ‘Validity of Queen’s College Step Test for use with young Indian men’, British Journal of Sports Medicine, 38(3), pp. 289–291.
• Cooper, K.H. (1968) ‘A means of assessing maximal oxygen intake: Correlation between field and treadmill testing’, JAMA, 203(3), pp. 201–204.
• Golding, L.A. (ed.) (2000) YMCA Fitness Testing and Assessment Manual. 4th edn. Champaign, IL: Human Kinetics.
• Grant, S., Corbett, K., Amjad, A.M., Wilson, J. and Aitchison, T. (1995) ‘A comparison of methods of predicting maximum oxygen uptake’, British Journal of Sports Medicine, 29(3), pp. 147–152.
• McArdle, W.D., Katch, F.I. and Katch, V.L. (2015) Exercise Physiology: Nutrition, Energy, and Human Performance. 8th edn. Philadelphia: Wolters Kluwer.
• Sartor, F., Vernillo, G., de Morree, H.M., Bonomi, A.G., La Torre, A., Kubis, H.P. and Veicsteinas, A. (2013) ‘Estimation of maximal oxygen uptake via submaximal exercise testing in sports, clinical, and home settings’, Sports Medicine, 43(9), pp. 865–873.