Exercise prescription is complex and can vary greatly. As well, methods have their own advantages and disadvantages. The purpose of this discussion is to consider if some of these methods should be modified. We look at the concept of the heart rate and oxygen intake reserve because it is recommended by the American College of Sports Medicine.

It is useful and appropriate to ask whether we should rethink aerobic exercise prescription methods. However, because there are many ways to prescribe exercise and many reasons for prescribing exercise (e.g., health, fitness, and performance), it is a complex task. No prescription method is perfect for all persons or even for the same person over time, as his or her interests, needs, goals, health, or fitness change.

This discussion focuses on methods based on exercise testing. When variables are estimated, there is so much variation that results may be useful to estimate a group average, but they cannot predict an individual's value. For example, Sarzynski et al. (1) compared maximal heart rate (HRmax) measured on 762 men and women aged 17 to 65 y in the HERITAGE study with 2 age-based estimates (Fox et al. (2) and Tanaka et al. (3)) and found that the standard error of estimate was 12.4 and 11.4 b·min−1 respectively; this is too large to be useful.

The factor with most variability when prescribing exercise is intensity. Absolute intensity (e.g., power output [PO], speed, kcal·min−1) can be the same for everyone, but how it relates to a maximal (e.g., V̇o2max) or submaximal (e.g., lactate threshold) anchor point can vary. When intensity is a percentage of a maximal anchor, there is wide variation in how that relates to a submaximal anchor and vice versa. Complicating the situation is that there is little agreement on which anchor points are best and in which situations (4).

Rather than comparing anchor points or relative exercise intensities or determining which are best, we will discuss some facts and problems with several methods so readers can decide if modifications are warranted.

One method of determining exercise intensity is based on HR at a given PO or V̇o2. People who exercise at a HR associated with the same %V̇o2max can vary substantially in training PO, rate of increase in PO over time, and improvement in V̇o2max (5). Nevertheless, training does not affect the HR-V̇o2 relationship. While HR at the same PO decreased after training, HR at the same %V̇o2max did not change in more than 700 men and women, blacks and whites, aged 17 to 65 y with different initial V̇o2max values and different responses to training. Thus, frequent testing is not necessary to adjust exercise prescriptions once HR has been determined relative to a person's V̇o2max.

Swain et al. (6) suggested that the relationship between %V̇o2max and %HRmax might be affected by individual differences in maximal and/or resting values. One attempt to correct for this is the Karvonen formula (7), also known as HR reserve (HRR), which considers the range from resting to maximal HR. This same reserve concept was applied to V̇o2 by Swain and Leutholz (8).

There have been many studies looking at the relationships among %V̇o2max, %HRmax, %HRR, and %V̇o2R in different populations, and there is evidence for (814) and against (9,13,1520) the validity of the reserve concept (which assumes that %HRR and %V̇o2R are equal) for prescribing exercise intensity.

Recently, Ferri Marini et al. (21) assessed the %HRR-%V̇o2R relationship using more than 400 maximal exercise tests performed by sedentary subjects in the HERITAGE study. They found that (a) the relationship was not 1:1 and (b) %HRR was higher than %V̇o2R at 30% to 90% V̇o2R, suggesting that actual metabolic demands are different than those expected with exercise intensities commonly recommended for healthy individuals and various clinical groups.

Although individual linear regressions between %HRR and %V̇o2R were very strong, high interindividual variability in slope and intercept was observed (21). This implies that a single population equation to predict HR or V̇o2 for an individual may be inaccurate.

Another consideration is that the transferability and validity of HR-V̇o2 relationships found during incremental exercise to prolonged exercise has been debated (22,23). Although transferability and validity may improve with specific exercise protocols (24,25), several time-dependent adjustments (e.g., cardiovascular drift and V̇o2 slow component, which induce increases in HR and V̇o2 over time (26)) occur during prolonged exercise and may alter the HR-V̇o2 relations.

In an unpublished study, Ferri Marini et al. studied 8 active males during randomly assigned exercise bouts (15 min at 60%HRR, 15 min at 80%HRR, 45 min at 60%HRR, and 45 min at 80%HRR). As expected, treadmill speeds decreased to maintain a constant target HR. Reductions were similar during the 15- and 45-minute bouts at the same intensity but greater at 80%HRR. The %HRR-%V̇o2R relationship was affected by exercise duration, and the 1:1 relationship was not present during longer exercise bouts. Thus, HR-V̇o2 relationships derived from incremental exercise tests may not be transferred to prolonged, constant-intensity exercise.

The American College of Sports Medicine (ACSM) recommends using either %V̇o2R or %HRR to establish intensity (27) because of their assumed 1:1 relationship during incremental exercise. The ACSM guidelines state that exercise intensity should be 55/65–90% HRmax or 40/50–85% V̇o2R or HRR. The lower number reflects the suggestion that “quite unfit” people should start at lower intensities.

This range of intensities corresponds well with mean V̇o2 at ventilatory threshold (V̇o2vt) relative to V̇o2max (VT%V̇o2max), which ranges from 52% in sedentary individuals to 85% in well-trained endurance athletes (28). However, ACSM guidelines did not consider the wide variance in VT%V̇o2max. As an example, mean VT%V̇o2max of 432 sedentary subjects in HERITAGE was 55% (range: 34%–83%).

Unpublished data from 183 HERITAGE subjects with low initial V̇o2max (15–30 mL·kg−1·min−1) show that less fit subjects had lower V̇o2vt values that tended to level off at ~10–14 mL·kg−1·min−1 (~3–4 Metabolic equivalents or METs). Interestingly, this is about the same level that Shephard (29) says is associated with activities of daily living. Because absolute values level off, while V̇o2max decreases in less fit people, the relative values (VT%V̇o2max) increase (see Table). Because “unfit” people already were doing enough to maintain VT at >50% V̇o2max and because the 40% V̇o2R values are less than their VT, it is uncertain whether lower intensities should be prescribed. For example, these HERITAGE subjects began training for 30 minutes at 50% V̇o2max and had no problems.

TABLE.

Approximate mean ventilatory threshold and 40% V̇o2 reserve in 183 HERITAGE subjects with low levels of maximal oxygen intake (V̇o2max).

Approximate mean ventilatory threshold and 40% V̇o2 reserve in 183 HERITAGE subjects with low levels of maximal oxygen intake (V̇o2max).
Approximate mean ventilatory threshold and 40% V̇o2 reserve in 183 HERITAGE subjects with low levels of maximal oxygen intake (V̇o2max).

Further complicating the discussion is the fact that genetics plays a role in determining how people respond to the same or different exercise programs (30). There are high, average, and low responders to training and no difference associated with sex, race (blacks and whites), age (17–65 y), or initial V̇o2max (31). Thus, it is difficult to compare prescription methods.

Therefore, should we rethink how to prescribe exercise? As mentioned earlier, there is no perfect method and many factors to consider. Therefore, modify methods only if new information suggests that we should.

Conflicts of Interest and Source of Funding: No conflicts

1.
Sarzynski
 
MA,
Rankinen
 
T,
Earnest
 
CP,
Leon
 
AS,
Rao
 
DC,
Skinner
 
JS,
Bouchard
 
C.
Measured maximal heart rates compared to commonly used age-based prediction equations in the Heritage Family Study
.
Am J Hum Biol
.
2013
;
25
(
5
):
695
701
.
doi:10.1002/ajhb.22431
2.
Fox
 
SM,
Naughton
 
JP,
Haskell
 
WL.
Physical activity and the prevention of coronary heart disease
.
Ann Clin Res
.
1971
;
3
(
6
):
404
32
.
3.
Tanaka
 
H,
Monahan
 
KD,
Seals
 
DR.
Age-predicted maximal heart rate revisited
.
J Am Coll Cardiol
.
2001
;
37
(
1
):
153
6
.
doi:10.1016/s0735-1097(00)01054-8
4.
Jamnick
 
NA,
Pettitt
 
RW,
Granata
 
C,
Pyne
 
DB,
Bishop
 
DJ.
An examination and critique of current methods to determine exercise intensity
.
Sports Med
.
2020
;
50
(
10
):
1729
56
.
doi:10.1007/s40279-020-01322-8
5.
Skinner
 
JS,
Wilmore
 
KM,
Krasnoff
 
JB,
Jaskólski
 
A,
Jaskólska
 
A,
Gagnon
 
J,
Province
 
MA,
Leon
 
AS,
Rao
 
DC,
Wilmore
 
JH,
Bouchard
 
C.
Adaptation to a standardized training program and changes in fitness in a large, heterogeneous population: the HERITAGE Family Study
.
Med Sci Sports Exerc
.
2000
;
32
(
1
):
157
61
.
doi:10.1097/00005768-200001000-00023
6.
Swain
 
DP,
Abernathy
 
KS,
Smith
 
CS,
Lee
 
SJ,
Bunn
 
SA.
Target heart rates for the development of cardiorespiratory fitness
.
Med Sci Sports Exerc
.
1994
;
26
(
1
):
112
6
.
7.
Karvonen
 
MJ,
Kentala
 
E,
Mustala
 
O.
The effects of training on heart rate; a longitudinal study
.
Ann Med Exper et Biol Fenn
.
1957
;
35
(
3
):
307
15
.
8.
Swain
 
DP,
Leutholtz
 
BC.
Heart rate reserve is equivalent to %V̇o2 reserve, not to %V̇o2max
.
Med Sci Sports Exerc
.
1997
;
29
(
3
):
410
4
.
9.
Brawner
 
CA,
Keteyian
 
SJ,
Ehrman
 
JK.
The relationship of heart rate reserve to V̇O2 reserve in patients with heart disease
.
Med Sci Sports Exerc
.
2002
;
34
(
3
):
418
22
.
10.
Byrne
 
NM,
Hills
 
A.
Relationships between HR and V̇o2 in the obese
.
Med Sci Sports Exerc
.
2002
;
34
(
9
):
1419
27
.
doi:10.1249/01.MSS.0000027629.94800.17
11.
Colberg
 
SR,
Swain
 
DP,
Vinik
 
AI.
Use of heart rate reserve and rating of perceived exertion to prescribe exercise intensity in diabetic autonomic neuropathy
.
Diab Care
.
2003
;
26
(
4
):
986
90
.
12.
Dalleck
 
LC,
Kravitz
 
L.
Relationship between %heart rate reserve and %V̇o2 reserve during elliptical crosstrainer exercise
.
J Sports Sci Med
.
2006
;
5
(
4
):
662
71
.
13.
Davenport
 
MH,
Charlesworth
 
S,
Vanderspank
 
D,
Sopper
 
MM,
Mottola
 
MF.
Development and validation of exercise target heart rate zones for overweight and obese pregnant women
.
Appl Physiol, Nutr Metab
.
2008
;
33
(
5
):
984
9
.
doi:10.1139/H08-086
14.
Lounana
 
J,
Campion
 
F,
Noakes
 
TD,
Medelli
 
J.
Relationship between %HRmax, %HR reserve, %V̇o2max, and %V̇o2 reserve in elite cyclists
.
Med Sci Sports Exerc
.
2007
;
39
(
2
):
350
7
.
doi:10.1249/01.mss.0000246996.63976.5f
15.
Cunha
 
FA,
Midgley
 
AW,
Monteiro
 
WD,
Farinatti
 
PT.
Influence of cardiopulmonary exercise testing protocol and resting V̇o2 assessment on %HRmax, %HRR, %V̇o2max and %V̇o2R relationships
.
Intl J Sports Med
.
2010
;
31
(
5
):
319
26
.
doi:10.1055/s-0030-1248283
16.
Hui
 
SS,
Chan
 
JW.
The relationship between heart rate reserve and oxygen uptake reserve in children and adolescents
.
Res Quart Exerc Sport
.
2006
;
77
(
1
):
41
9
.
doi:10.1080/02701367.2006.10599330
17.
Pinet
 
BM,
Prud'homme
 
D,
Gallant
 
CA,
Boulay
 
P.
Exercise intensity prescription in obese individuals
.
Obesity
.
2008
;
16
(
9
):
2088
95
.
doi:10.1038/oby.2008.272
18.
Swain
 
DP,
Leutholtz
 
BC,
King
 
ME,
Haas
 
LA,
Branch
 
JD.
Relationship between % heart rate reserve and %V̇o2 reserve in treadmill exercise
.
Med Sci Sports Exerc
.
1998
;
30
(
2
):
318
21
.
19.
Gaskill
 
SE,
Bouchard
 
C,
Rankinen
 
T,
Rao
 
DC,
Wilmore
 
JH,
Leon
 
AS,
Skinner
 
JS.
%heart rate reserve is better related to %V̇o2max than to %V̇o2 reserve: the HERITAGE Family Study
.
Med Sci Sports Exerc
.
2004
;
36
(
5
):
S3
.
20.
Skinner
 
JS,
Gaskill
 
S,
Gagnon
 
J,
Leon
 
AS,
Rao
 
DC,
Wilmore
 
JH,
Bouchard
 
C.
Accuracy of the Karvonen formula in a large heterogeneous population: the HERITAGE Family Study
.
Med Sci Sports Exerc
.
2001
;
33
(
5
):
S136
.
21.
Ferri Marini
 
C,
Sisti
 
D,
Leon
 
AS,
Skinner
 
JS,
Sarzynski
 
MA,
Bouchard
 
C,
Rocchi
 
MBL,
Piccoli
 
G,
Stocchi
 
V,
Federici
 
A,
Lucertini
 
F.
HRR and V̇o2R fractions are not equivalent: is it time to rethink aerobic exercise prescription methods?
Med Sci Sports Exerc.
2021
;
53
(
1
):
174
82
.
doi:10.1249/MSS.0000000000002434
22.
Cunha
 
FA,
Midgley
 
AW,
Monteiro
 
WD,
Campos
 
FK,
Farinatti
 
PT.
The relationship between oxygen uptake reserve and heart rate reserve is affected by intensity and duration during aerobic exercise at constant work rate
.
Appl Physiol, Nutr Metab
.
2011
;
36
(
6
):
839
47
.
doi:10.1139/h11-100
23.
Wingo
 
JE,
Ganio
 
MS,
Cureton
 
KJ.
Cardiovascular drift during heat stress: implications for exercise prescription
.
Exerc and Sport Sci Rev
.
2012
;
40
(
2
):
88
94
.
doi:10.1097/JES.0b013e31824c43af
24.
Iannetta
 
D,
de Almeida Azevedo
 
R,
Keir
 
DA,
Murias
 
JM.
Establishing the V̇o2 versus constant-work-rate relationship from ramp-incremental exercise: simple strategies for an unsolved problem
.
J Appl Physiol (1985)
.
2019
;
127
(
6
):
1519
27
.
doi:10.1152/japplphysiol.00508.2019
25.
Keir
 
DA,
Paterson
 
DH,
Kowalchuk
 
JM,
Murias
 
JM.
Using ramp-incremental V̇o2 responses for constant-intensity exercise selection
.
Appl Physiol, Nutr Metab
.
2018
;
43
(
9
):
882
92
.
doi:10.1139/apnm-2017-0826
26.
Zuccarelli
 
L,
Porcelli
 
S,
Rasica
 
L,
Marzorati
 
M,
Grassi
 
B.
Comparison between slow components of HR and V̇o2 kinetics: functional significance
.
Med Sci Sports Exerc
.
2018
;
50
(
8
):
1649
57
.
doi:10.1249/MSS.0000000000001612
27.
Pollock
 
ML,
Gaesser
 
GA,
Butcher
 
JD,
Després
 
J,
Dishman
 
RK,
Franklin
 
BA,
Garber
 
CE.
American College of Sports Medicine position stand. The recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness, and flexibility in healthy adults
.
Med Sci Sports Exerc
.
1998
;
30
(
6
):
975
91
.
28.
Gaskill
 
SE,
Walker
 
AJ,
Serfass
 
RA,
Bouchard
 
C,
Gagnon
 
J,
Rao
 
DC,
Skinner
 
JS,
Wilmore
 
JH,
Leon
 
AS.
Changes in ventilatory threshold with exercise training in a sedentary population: the HERITAGE Family Study
.
Intl J Sports Med
.
2001
;
22
(
8
):
586
92
.
doi:10.1055/s-2001-18522
29.
Shephard
 
RJ.
Independence: a new reason for recommending regular exercise to your patients
.
Phys Sportsmed
.
2009
;
37
(
1
):
115
8
.
doi:10.3810/psm.2009.04.1691
30.
Bouchard
 
C.
DNA sequence variations contribute to variability in fitness and trainability
.
Med Sci Sports Exerc
.
2019
;
51
(
8
):
1781
5
.
doi:10.1249/MSS.0000000000001976
31.
Skinner
 
JS,
Jaskólski
 
A,
Jaskólska
 
A,
Krasnoff
 
J,
Gagnon
 
J,
Leon
 
AS,
Rao
 
DC,
Wilmore
 
JH,
Bouchard
 
C.
Age, sex, race, initial fitness, and response to training: the HERITAGE Family Study
.
J Appl Physiol (1985)
.
2001
;
90
(
5
):
1770
6
.
doi:10.1152/jappl.2001.90.5.1770