7 Nov 2013: Loe H, Rognmo Ø, Saltin B, Wisløff U (2013) Correction: Aerobic Capacity Reference Data in 3816 Healthy Men and Women 20–90 Years. PLOS ONE 8(11): 10.1371/annotation/e3115a8e-ca9d-4d33-87ef-f355f07db28e. https://doi.org/10.1371/annotation/e3115a8e-ca9d-4d33-87ef-f355f07db28e View correction
To provide a large reference material on aerobic fitness and exercise physiology data in a healthy population of Norwegian men and women aged 20–90 years.
Maximal and sub maximal levels of VO2, heart rate, oxygen pulse, and rating of perceived exertion (Borg scale: 6–20) were measured in 1929 men and 1881 women during treadmill running.
The highest VO2max and maximal heart rate among men and women were observed in the youngest age group (20–29 years) and was 54.4±8.4 mL·kg−1·min−1 and 43.0±7.7 mL·kg−1·min−1 (sex differences, p<0.001) and 196±10 beats·min−1 and 194±9 beats·min−1 (sex differences, p<0.05), respectively, with a subsequent reduction of approximately 3.5 mL·kg−1·min−1 and 6 beats·min−1 per decade. The highest oxygen pulses were observed in the 3 youngest age groups (20–29 years, 30–39 years, 40–49 years) among men and women; 22.3 mL·beat−1±3.6 and 14.7 mL·beat−1±2.7 (sex differences, p<0.001), respectively, with no significant difference between these age groups. After the age of 50 we observed an 8% reduction per decade among both sexes. Borg scores appear to give a good estimate of the relative exercise intensity, although observing a slightly different relationship than reported in previous reference material from small populations.
This is the largest European reference material of objectively measured parameters of aerobic fitness and exercise-physiology in healthy men and women aged 20–90 years, forming the basis for an easily accessible, valid and understandable tool for improved training prescription in healthy men and women.
Citation: Loe H, Rognmo Ø, Saltin B, Wisløff U (2013) Aerobic Capacity Reference Data in 3816 Healthy Men and Women 20–90 Years. PLoS ONE 8(5): e64319. https://doi.org/10.1371/journal.pone.0064319
Editor: Alejandro Lucia, Universidad Europea de Madrid, Spain
Received: February 27, 2013; Accepted: April 10, 2013; Published: May 15, 2013
Copyright: © 2013 Loe et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was funded by K.G. Jebsen Foundation, The Norwegian Council on Cardiovascular Disease, The Research Council of Norway (funding for Outstanding Young Investigators (UW) and scholarship (HL)), Foundation for Cardiovascular Research at St. Olav’s Hospital, Norwegian State Railways, Roche Norway Incorporated and Valnesfjord Rehabilitation Center. There are no disclosures to report or any conflicts of interest. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors are declaring a commercial funder, Roche Norway Incorporated. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials.
Evidence supports a strong inverse association between cardiorespiratory fitness and all-cause mortality –. Therefore, in order to increase the individual’s fitness level, different types of exercise training are used both in prevention and treatment of cardiovascular and life-style related disease . In order to prescribe a proper prevention- or treatment program either, the more reliable, individually cardiopulmonary exercise testing is needed , , or one can rely upon previously established reference material. Most previous studies measuring cardiorespiratory fitness tend to use peak oxygen uptake (VO2peak), indirect methods, estimation by equation, selected populations and/or small sample sizes –. Previously established variables suitable for exercise prescription such as oxygen uptake, heart rate, Watts and Borg scale scores, are mostly based upon small sample sizes or poorly described populations , –. The aim of this study was to establish a large reference material of empirical cardiorespiratory fitness and exercise-physiology data in healthy men and women aged 20–90 years in order to provide an easily accessible, valid and understandable tool for improved exercise training prescription.
The HUNT 3 fitness study is the third wave of the Nord-Trøndelag Health Studies (www.ntnu.edu/hunt). Data were collected between October 2006 and June 2008. The entire population >20 years of age (n = 94194) were invited to participate, 54% (n = 50821) accepted. The HUNT 3 Fitness Study was designed to acquire reference material for submaximal and maximal cardiorespiratory parameters in a healthy population. Exclusion criteria were cancer, cardiovascular disease, obstructive lung disease and use of blood pressure medication. Participants also had to be cleared in a brief medical interview. Based upon self-reported information, 30513 candidates presented as suitable for VO2max testing. Out of these, 12609 candidates resided in the 3 municipals selected for VO2max testing, and 5633 of them volunteered to participate. These 3 locations were chosen due to geographical location to minimize travel distance for participants. 4621 candidates completed a VO2max test, whereas 3816 tests were considered to have reached the true VO2max.
The study was approved by the Regional committee for medical research ethics (2012/1228/REK midt), the Norwegian Data Inspectorate and the National Directorate of Health, and is in compliance with the Helsinki declaration. Written informed consent was obtained from all participants.
VO2max and Heart Rate
An individualized graded protocol  was used for measuring VO2max (Cortex MetaMax II, Cortex, Leipzig, Germany). Prior of starting the testing procedure several MetaMax II apparatus were tested against Douglas-bag and iron lung (Cortex, Leipzig, Germany). Two MetaMax II apparatus were returned to Cortex due to unstable recordings (both ventilation and carbon dioxide analysis) and replaced by two new apparatus that were tested and found both reliable and valid. Hence, all MetaMax apparatus used in the project were both valid and reliable. Test-retest correlation of oxygen-uptake for the tested-personnel in the project was 0.99, p<0.001 and coefficient of variation was 1.8%. Bland-Altman plot were constructed where differences in two tests of maximal oxygen uptake (and sub maximal) from each person (test-1 minus test-2) were plotted against the average of the two tests ((test-1+test-2)/2). Average difference was −0.04 ml·kg−1·min−1 and standard deviation of the difference was 1.0. Therefore one can expect that 95% of all observations are at the average ((test-1+test-2)/2) ±2 standard deviations. Thus, we can expect values to vary between −0.04 −2⋅1 to −0.04+2⋅1 if we test maximal oxygen uptake twice in the same person within a short time period. Velocity and inclination of the test treadmills were calibrated prior to testing.
The MetaMax II was calibrated prior to the first test each day using a standard two-point gas calibration procedure recommended by the manufacturer. The calibration includes measurements of ambient air and a gas mix of known content (15.03% O2 and 4.98% CO2 in N2), a calibration of the Triple-V volume transducer with a calibrated 3 L syringe (Calibration syringe D, Sensormedics, CareFusion, San Diego, CA, USA), and barometric pressure control. Volume calibration was implemented every third test and the two-point gas calibration every fifth. Before each test the ambient room air was routinely checked. Heart rate was measured by radio telemetry (Polar S610i, Polar Electro Oy, Kempele, Finland). Body mass was measured using the weighing scale Model DS-102 (Arctic Heating AS, Nøtterøy, Norway). All participants had a treadmill familiarization period of 8–10 minutes during warm-up. They were instructed to avoid grabbing handrails if not necessary. The individualized warm-up workload determined the initial velocity/inclination on the subsequent treadmill test. Candidates wore a face mask (Hans Rudolph, Germany) linked to the MetaMax II. When participant maintained a stable oxygen uptake >30seconds, velocity (0.5–1.0 kmh-1) or inclination (1–2%) were increased. Increased workload was preferably obtained with increased velocity and keeping a fixed slope angle. If a participant was unable to increase velocity, inclination was increased. The average velocity and slope during test protocol were 6.8±2.2 km·h−1 (range 2–17 km·h−1) and 10.0±1.6% (range 2–16%), respectively. Tests were terminated when candidates were exhausted or reached a VO2 plateau that remained stable despite increased work load , i.e. VO2 did not increase more than 2 mL·kg−1·min−1 despite increased work load.
We calculated the ventilatory equivalent (VE·VO2−1) at VO2max. The ventilatory equivalent describes the fraction of minute ventilation (VE) to oxygen uptake (VO2), hence, the higher the value the more ineffective is the VE. At higher levels of increasingly harder submaximal workloads, a disproportionate increase in VE relative to VO2 occurs. This heralds an increasingly more inefficient VE.
Physical activity index score (PAI) was calculated from replies in a self-administered questionnaire that consisted of 3 questions. Question 1: “How frequently do you exercise?” with response alternatives “Never” (0); “Less than once a week” (0); “Once a week” (1); “2–3 times a week” (2.5); “Almost every day” (5). Question 2: “If you exercise as frequently as once or more times a week: How hard do you push yourself?” with response alternatives “I take it easy without breaking a sweat or losing my breath” (1); “I push myself so hard that I lose my breath and break into sweat” (2); “I push myself near exhaustion” (3). Question 3: “How long does each session last?” with the following response options “Less than 15 minutes” (0.1); “15–29 minutes” (0.38); “30 minutes to 1 hour” (0.75); “More than 1 hour” (1.0). The numbers in brackets, corresponding to each subject’s response to the 3 questions above, were multiplied to calculate the physical activity index score. An index score in the range 0.05–1.50 was considered to signify low activity, an index score in the range 1.51–3.75 was interpreted as medium activity and a score in the range 3.76–15.0 signified high activity. The index score is previously established as valid and reliable .
Borg Scale of Perceived Exertion and VO2 at 2 Sub Maximal and Maximal Workload
Candidates were asked to state their subjective rating of perceived exertion (Borg scale) at the end of 3 different levels. Borg scale visualizes work load intensity, denoted by numbers 6–20 , with a proportional relation between increased rating of perceived exertion and the reported Borg scale number. Level 1: The individual initial workload for the test was determined during warm-up. All individuals reached a stable VO2 and heart rate after 3 minutes at the first submaximal work load. Level 2: Treadmill gradient was elevated by 2% or velocity increased 1 km·h−1. After 1–2 minutes at this sub maximal workload steady state was obtained. The maximum level is described previously.
Workload in watts was calculated at the 3 described workloads. Calculations were based on treadmill slope gradient, velocity and body mass input in Cortex MetaMax II (Cortex, Leipzig, Germany). Minimum slope gradient was 2% and mean slope gradient at maximum workload was 10.4±1.4%.
Parametric analysis was used based on the large sample size. QQ-plots supported the assumption of normally distributed data. Descriptive data are presented as arithmetic mean ± standard deviation. An Independent-Samples T test was used for establishing level of significance between sexes and age groups. Linear regression, with 95% confidence interval, was used to illustrate associations between physiological parameters. All statistical tests were two-sided. SPSS 16.0 (Statistical package for Social Sciences, Chicago; Illinois, USA) and GraphPad Prism 4.01 (GraphPad Software, San Diego, California, USA) were used to analyze data. Correlations were done using data from Level 1, Level 2 and Level 3 (maximum) as described above. A p-value of <0.05 was considered statistically significant.
Overall VO2max was 3.19±0.90 L·min−1 or 41.3±9.2 mL·kg−1·min−1 (range 18.6–76.5 mL·kg−1·min−1, Table 1). Women had 18.7% (p<0.001) lower VO2max than men (37.0±7.5 mL·kg−1·min−1 vs. 45.4±8.9 mL·kg−1·min−1). Maximal oxygen pulse was 34% lower (p<0.001) in women than men (14.0±2.6 mL·beat−1 vs. 21.1±3.8 mL·beat−1). Maximal workload at VO2max was 33% lower (p<0.001) in women compared with men (121±24 W vs. 181±36 W). There were no significant sex differences in maximal heart frequencies or Borg scores at termination of the test (Table 1).
The highest VO2max and maximal heart rate for both sexes were observed in the age group 20–29 years. Among men and women in this age group VO2max were 54.4±8.4 mL·kg−1·min−1 and 43.0±7.7 mL·kg−1·min−1 (sex differences, p<0.001) with corresponding heart rates of 196±10 beats·min−1 and 194±9 beats·min−1 (sex differences, p<0.05). In both sexes VO2max and maximal heart rates were approximately 8% (≈3.5 mL·kg−1·min−1) and 3.5% (6 beats·min−1) lower per increased decade, respectively. The Physical Activity Index (PAI) scores were also highest for both sexes in this age group. For men and women PAI scores were 4.64±4.04 and 3.96±3.25, respectively (no significant sex differences), which are considered to indicate a high physical activity level. All other age groups, regardless of sex, had PAI scores in the range 2.67–3.70, which are considered to indicate medium activity  (Table 2).
We observed an EqVO2max of 33.9±4.0 and 34.1±5.3 among men and women, aged 20–29 years, respectively. Generally no differences were found between sexes and age groups, except from a 3% (p<0.05) higher EqVO2max in females aged 30–39 and 40–49 years compared to corresponding groups of males. Additionally, EqVO2max increased by 3% (p<0.05) between the two most senior male groups (Table 2).
The highest maximal oxygen pulse was observed in the 3 youngest age groups (20–49 years) for both sexes, with no significant difference between these age groups. Women in these age groups had 33% lower (p<0.001) oxygen pulse compared with men (14.7±2.7 mL·beat−1 vs. 22.3±3.6 mL·beat−1). In the subsequent age groups an approximately 8% reduction in oxygen pulse per decade was observed among both sexes (Table 3).
Rating of Perceived Exertion, %VO2max and %maximal Heart Rate
As can be seen from Table 4, rating of perceived exertion reported as Borg Score fairly well estimate the relative exercise intensity expressed as percent of maximal heart rate and percent of VO2max. Data also show that there may be sex differences in these relationships in the lowest intensities corresponding to Borg below 16. For example the actual exercise intensity for men and women that report to exercise at Borg 6–9 corresponds to 75.8% (CI: 74.5–77.1) and 79.1% (CI: 77.6–80.5) of maximal heart rate, respectively (sex differences, p<0.05). Furthermore, Borg 13–15 corresponds to a heart rate of 84.7% (CI: 84.3–85.1) for men and 88.4% (CI: 88.0–88.7) for women (sex differences, p<0.001). The same discrepancies apply to %VO2max in corresponding Borg range. At Borg Score above 16 there were no sex or age group differences, with the exception of an age group difference between the 50–59 years and the 60–69 years group in both percent of maximal heart rate (p<0.01) and percent of VO2max (p<0.05).
VO2, Heart Rate, Watt and Physical Activity Index
Figure 1 displays the relationship between VO2 and heart rate. The overall correlation for VO2 (L·min−1) and heart rate was found to be moderate (r = 0.51, p<0.0001). Stratified by sex, this association became stronger; males r = 0.70 (p<0.0001), female r = 0.61 (p<0.0001). The association between percent VO2 and percent maximal heart rate was strong; all r = 0.89 (p<0.0001), male r = 0.90 (p<0.0001), female r = 0.87 (p<0.0001).
Figure 2 demonstrates the strong association between VO2 (L·min−1) and treadmill workload (Watts), and the correlation between watts and heart rate; VO2 vs. Watts: all r = 0.90 (p<0.0001), male r = 0.89 (p<0.0001), female r = 0.84 (p<0.0001). Heart rate vs. Watts: Viewing the full sample size a moderate correlation was observed between treadmill workload (Watts) and heart rate (r = 0.55, p<0.0001). Good correlations were observed when the data was stratified by sex; male r = 0.71 (p<0.0001), female r = 0.66 (p<0.0001).
Figure 3 demonstrates a poor, but statistically strong association between Physical activity index and VO2 (mL·kg−1·min−1); all r = 0.24 (p<0.0001), male r = 0.29 (p<0.0001) and female r = 0.27 (p<0.0001).
Figure 4 exhibits a moderate association between VO2 (both mL·kg−1·min−1 and L·min−1) and age groups, male: r = 0.54 and r = 0.54, respectively; female: r = 0.52 and r = 0.50, respectively.
This is the largest European reference material of objectively measured aerobic capacity and exercise-physiology in healthy men and women aged 20–90 yrs. Our observations are an important supplement to previously published data that have mostly been either indirect or based on small, selected, or poorly-described populations –.
Sex Differences in VO2max and Maximal Heart Frequencies
Despite being generally more physical active than men, women had a 34% and 18.5% lower absolute (L·min−1) and relative (mL·kg−1·min−1) VO2max, respectively, than men. When applying appropriate scaling procedures  where differences in body mass are taken into consideration for a more accurate comparison –, women had 22.7% lower VO2max (mL·kg−0.75·min−1) than men. The higher VO2max in men is in accordance with former studies , –, . We observed higher VO2max compared to that reported in American , , , , Japanese populations  and a large Brazilian study , especially in the younger age groups. Earlier Scandinavian research supports our VO2max levels , , . A study of Nomadic Lapps , who were physically active in taking care of their reindeers, observed VO2max values close to our findings, and it is indicated that Roman legionnaires  had a VO2max in the range of 50 mL·kg−1·min−1. Also contemporary hunter-gatherer societies display VO2max in the range 50–65 mL·kg−1·min−1 in young male populations . This supports the assumption that by living an active life, VO2max in the range we display could be expected. When applying a scaled VO2max , where differences in body weight is considered for a more precise comparison –, the HUNT 3 fitness study still displays a considerable higher VO2max (mL·kg−0.75·min−1) than North American, German and Asian studies. Scaled VO2max in HUNT 3 was approximate 20% higher, considering both sexes and all age groups, than North American , ,  and a German study . However, a North American study by Jackson and colleagues  display only an estimated 10% lower scaled VO2max, compared to our findings, among both sexes in the 20–29 year age group, with diminishing differences per subsequent decade. A Japanese study  displays an average 14% lower scaled VO2max than us, among both sexes and all age groups. The dissimilarities between our and other findings may be explained by that we measured VO2max whereas most others , , ,  use VO2peak or estimated VO2max , , and that most other populations might also lead a more sedate lifestyle than that of Scandinavians.
Despite our relatively high mean VO2max, 25 men and 9 women (>50 years) displayed values below 8 METs (28 mL·kg−1·min−1) and 6 METs (21 mL·kg−1·min−1), respectively. This is associated with higher all-cause mortality and cardiovascular events among healthy men and women . 1% of men 50–59 years displayed METs associated with increased risk, with 4% and 11% prevalence of “increased risk MET” with each subsequent decade. Women displayed approximately half the prevalence over the same age groups. We report a somewhat higher maximal heart rate than previous studies, which could be explained by that others – measure peak heart rate. In line with former studies – there were no significant sex differences in maximal heart rate.
Differences in VO2max and Physical Activity Level Stratified by Age Group and Sex
The highest VO2max, in both men and women, were observed in the age groups 20–29 years. This fits with that both sexes in this age group had the highest level of physical activity compared to all other age groups. Between the two youngest age groups of both men and women (20–29 years and the 30–39 years) there was no difference in absolute VO2max (L·min−1). However, among the 30–39 years old, body mass was 8.4% and 6.4% higher, and physical activity level 32.1% and 15.2% lower for men and women, respectively. A lower physical activity level did not influence the absolute VO2max (L·min−1) but probably contribute to the higher body mass in those aged 30–39 years. Relative to body mass VO2max (mL·kg−1·min−1) was 10% and a 7% lower among men and women aged 30–39 years compared to those in the 20–29 year age group. Thus, lower relative VO2max in those aged 30–39 years old was caused by a higher body mass in our study population.
Despite similar body weights and physical activity level, a highly significant lower absolute (4.4%) and relative (3.8%) VO2max was observed among men and women aged 40–49 years compared to those aged 30–39 years. In line with our findings, Sanada and colleagues  observed a similar drop in VO2max between these age groups among healthy Japanese men. However, they observed a considerably larger “drop” in VO2max with no change in body mass among women compared to our observations. Their findings are in agreement with another study of women by Jackson and colleagues . A likely explanation for the lower VO2max in those aged 40–49 vs. 30–39 could be a reduced level of physical activity in the oldest age group. However, our data does not support this. The Sanada  study shows a decrease in skeletal muscle mass with simultaneous increase in percent body fat. This would deteriorate demand properties and decrease VO2max. We do not know if this is the case in our study, but the drop in absolute VO2max yields a reduction in supply properties, hence a reduction in VO2max. The reason for different “drop” in VO2max among women in our study, the Sanada  and Jackson  studies is not known and warrant further studies.
Over the 3 next decades (40–69 years) the decrease in absolute and relative VO2max had more than doubled (≈10% per decade), in both sexes, compared to that observed between age groups 30–39 years and 40–49 years. There were no significant differences in body mass between these age groups, with the exception of a ≈2% reduction in males between 50–59 and 60–69 years. The reduction in VO2max per decade is in line with previous studies , , . A significant reduction in physical activity level with increased age among women was observed in our study, with no changes in the male group. Thus, reduced physical activity level may explain reduced VO2max with increased age among women but not among men. Whether this is really an age-related decline or due to that men have a tendency to over-report physical activity  is not known, and future investigations should aim to obtain objectively measured physical activity levels.
Between the 60–69 years and the +70 year age groups we observed the largest “drop” in absolute VO2max (L·min−1) in both sexes (≈14.5%). Relatively VO2max (mL·kg−1·min−1) were 10% and 11% lower in males and females aged +70 compared to those aged 60–69 years. The large drop in relative VO2max occurred despite no significant drops in body mass and physical activity level. This suggests that the drop may be due to “age-related” adaptations in the organism. Our findings for these age groups are in line with previous studies reporting reductions in relative and absolute VO2max in the range 13–25% and 12–29% , , , .
Ventilatory efficiency, EqVO2max, remains generally unchanged throughout the age groups; hence, it is not a factor in explaining the diminishing VO2max with increasing age. However, subsequent 50 years of age O2-pulse displayed a steady decrease, which indirectly indicate a reducing stroke volume, hence this yield a reduction in VO2max.
Differences in Maximum Heart Rate Stratified by Age Group and Sex
Maximum heart rate has regularly been estimated by an equation subtracting age from 220 beats·min−1, which have limited scientific merit . The highest heart frequencies were found in the youngest age groups, regardless of sex. Maximal heart frequencies in men and women were 196±10 beats·min−1 and 194±9 beats·min−1, respectively, with a decline of approximately 3.5% (6 beats·min−1) per decade. Our maximal heart rate decline gradient is approximately half that compared to using the 220 beats·min−1 minus age equation, which is consistent with former research , , .
Differences in Oxygen Pulse Stratified by Gender and Age Groups
The highest maximal oxygen pulse was observed in the 3 youngest age groups among men (22.3±3.6 mL·beat−1) and women (14.7±2.7 mL·beat−1), with no significant difference between these age groups. Previous reference material on oxygen pulse in healthy populations is based upon case reports  or small studies in athletes   making comparison with our data complicated.
Association between VO2 and Heart Rate
The benchmark studies of the relationship between submaximal VO2 and heart frequencies from the 50′s and 60′s have small sample size. When comparing our findings with that of Åstrand  there are obvious discrepancies. Compared with our observations, Åstrand reports lower heart frequencies at workloads corresponding to VO2 lower than 3 L·min−1, and higher heart frequencies at VO2 higher than 3 L·min−1. Since there are no references to sample size or gender in Åstrands data it is difficult to interpret the discrepancies between the studies. Another study by Åstrand  with 86 relatively well trained male and female students, agrees with our data, for the age group 20–29 years, on VO2 less than 3 L·min−1. When VO2 exceed 3.0 L·min−1 for females and 4.0 L·min−1 for males the present study displays lower heart frequencies than reported in the Åstrand study. A study  with 44 females, aged 20–65 years, displayed lower heart frequencies than we observed for VO2<1.5 L·min−1, but higher heart frequencies for VO2>1.5 L·min−1. The observed association between percent VO2max and percent maximal heart rate is in agreement with previous studies , ,  on intensities >70% of VO2max. At exercise intensities <70% of VO2max we observed higher percent heart rate than previous studies. In our study 30% of VO2max corresponded to 60% of maximal heart rate where others , ,  have reported that this is equal to 50% of maximal heart rate. However, we use treadmill testing while the others use bicycle ergometer, which could explain the discrepancies.
Association between Heart Rate and Watts
Comparing our results to a study by Åstrand  with 84 healthy males, good agreement was found for workloads >150W, whereas we observed progressively higher heart frequencies than Åstrand at lower workloads. This is also the case when comparing our results to another study of males by Åstrand . Again, the inconsistency between our and Åstrand’s findings could be explain by treadmill vs. bicycle ergometer.
Association between VO2 and Watts
We systematically display higher VO2 (L·min−1) at any given watt than that observed in two studies from Åstrand , . Discrepancies seem to be caused by higher initial VO2 cost (L·min−1) in our results, while the slope gradient is in close proximity with Åstrand , . The differences may be explained by that we applied treadmill work whereas Åstrand used a cycle ergometer.
Association between Borg Scale Scores, % VO2max and % Maximal Heart rRate
We observed a mismatch between the Borg study  and our findings. We observed considerably higher percent VO2max and percent maximal heart rate for a given exertion interval than Borg , but differences vanished at the highest Borg-levels.
Relative to VO2max and maximal heart rate Borg scale differed between sexes. In the range 6–15 on Borg scale males worked at a lower percent (4%) of both VO2max and maximal heart rate than females, i.e. the relative rating of perceived exertion in males were higher at a given work load. There were no differences between sexes at Borg16–20. Our data clearly support the notion that Borg-scale may be used as a robust tool to guide exercise intensity in healthy men and women, but that one should be aware of sex differences at the lowest Borg levels.
Association between Physical Activity Index Scores and VO2max
There was a poor overall correlation (r = 0.24) between self-reported physical activity level and VO2, which indicates that only 5.7% of differences in VO2max can be explained by the physical activity scores. This is in agreement with prior research , , . Physical activity index score (PAI) is a weighted product between duration, frequency and intensity. Intensity might be weighted to low, thus it could explain the poor correlation between PAI and VO2.
This study may be subject to bias due to self-selection caused by the low participation rate. However, almost all of those who were invited to the current Fitness study from the large HUNT study agreed to participate in the fitness test. Due to limited capacity at the test sites resulting in long waiting lines, many potential participants chose to withdraw their participation from the study. Those who finally participated in the study could thus be healthier than those who quit or declined participation. However, a comparison of the participants in the fitness study with a healthy sample of the total HUNT population (i.e. free from cardiovascular or pulmonary diseases, cancer, or sarcoidosis) confirmed that the fitness participants did not considerably differ from other healthy HUNT participants . In future studies physical activity should be measured objectively rather than being self-reported, given the large inconsistencies between VO2max and self-reported physical activity.
The discrepancies between this and previous studies highlighted the need of a large reference material as presented in this study. The HUNT 3 Fitness study presents the largest Europen reference material of objectively measured parameters of aerobic capacity and exercise-physiology in healthy men and women aged 20–90 years. Our data establishes normal values for the key physiological factors VO2max and heart rate, as well as associations between commonly used exercise parameters. The data forms the basis for a user-friendly tool for exercise intensity control in healthy men and women.
The HUNT 3 fitness study is a collaboration between The HUNT research center (Faculty of Medicine, Norwegian University of Science and Technology, NTNU), Nord-Trøndelag County Council and The Norwegian Institute of public Health, Liaison Committee between the Central Norway Regional Health Authority (RHA) and the Norwegian University of Science and Technology (NTNU).
Conceived and designed the experiments: UW. Performed the experiments: UW OR. Analyzed the data: HL OR BS UW. Contributed reagents/materials/analysis tools: HL OR BS UW. Wrote the paper: HL OR BS UW. Conception and design of the work, acquisition of data, or analysis and interpretation of data: HL OR BS UW. Drafting the article or revising it critically for important intellectual content: HL OR BS UW. Final approval of the version to be published: HL OR BS UW.
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