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. Author manuscript; available in PMC: 2022 Dec 2.
Published in final edited form as: J Clin Exerc Physiol. 2022 May 19;11(2):44–53. doi: 10.31189/2165-6193-11.2.44

Heart rate recovery as an assessment of cardiorespiratory fitness in young adults

J Matthew Thomas 1,2, W Scott Black 1,3, Philip A Kern 2,4,5, Julie S Pendergast 2,5,6,7, Jody L Clasey 1,2,5
PMCID: PMC9718361  NIHMSID: NIHMS1849775  PMID: 36466304

Abstract

Background:

Cardiorespiratory fitness, typically measured as peak oxygen uptake (VO2peak) during maximal graded exercise testing (GXTmax), is a predictor of morbidity, mortality, and cardiovascular disease. However, measuring VO2peak is costly and inconvenient and thus not widely used in clinical settings. Alternatively, postexercise heart rate recovery (HRRec), which is an index of vagal reactivation, is a valuable assessment of VO2peak in older adults and athletes. However, the validity of HRRec as a clinical indicator of cardiorespiratory fitness in young, sedentary adults, who are a rapidly growing population at risk for developing obesity and cardiovascular disease, has not been fully elucidated.

Methods:

We investigated the association between cardiorespiratory fitness, measured by VO2peak (mL·kg−1·min−1), and HRRec measures after a GXTmax in 61 young (25.2 ± 6.1 years), sedentary adults (40 females) using 3 methods. We examined the relationship between VO2peak and absolute (b·min−1) and relative (%) HRRec measures at 1, 2, and 3 min post GXTmax, as well as a measure of the slow component HRRec (HRRec 1 min minus HRR 2 min), using Pearson’s correlation analysis.

Results:

VO2peak (36.5 ± 7.9 mL·kg−1·min−1) was not significantly correlated with absolute HRRec at 1 min (r = 0.18), 2 min (r = 0.04) or 3 min (r = 0.01). We also found no significant correlations between VO2peak and relative HRRec at 1 min (r = 0.09), 2 min (r = −0.06) or 3 min (r = −0.10). Lastly, we found no correlation between the measure of the slow component HRRec and VO2peak (r = −0.14).

Conclusions:

Our results indicate that HRRec measures are not a valid indicator of cardiorespiratory fitness in young, sedentary adults.

Keywords: Sedentary lifestyle, physical activity, cardiovascular health, graded exercise test

INTRODUCTION

Accurate assessments of cardiovascular health and fitness are important for predicting at-risk individuals and for developing interventional therapeutic strategies (1). Accumulating evidence has established that clinical assessments of cardiorespiratory fitness improve risk stratification for adverse health outcomes and are a powerful tool for patient management (24). The American Heart Association released a statement indicating that cardiorespiratory fitness should be considered a clinical vital sign and should be assessed regularly in the clinic along with other preventative assessments (4). However, direct measures of cardiorespiratory fitness rely on determining peak oxygen uptake (VO2peak) during a graded exercise test conducted in a laboratory setting. Because measuring VO2peak during a graded exercise test can be costly and inconvenient, it is often more practical to estimate cardiorespiratory fitness using simple, non-invasive measures that are easily collected during exercise. One such measure is heart rate recovery (HRRec) following exercise testing, which is an index of vagal reactivation and is a strong predictor of morbidity and mortality in older adults (59).

HRRec is used in some clinical settings as a measure of autonomic dysfunction to identify high risk cardiovascular disease patients. However, it is not typically used as a marker of cardiorespiratory fitness. For example, HRRec is predictive of long-term outcomes and survival in patients with coronary artery disease and congestive heart failure, which have known autonomic nervous system dysfunction (7, 8). The HRRec is also an independent risk factor for development of metabolic diseases, suggesting it is an informative marker for at-risk individuals (10, 11). Evidence suggests that HRRec is a valid method to assess cardiorespiratory fitness. Cross sectional studies show that physically active individuals have improved HRRec compared to their sedentary counterparts (1215). Likewise, both VO2peak and HRRec improve following an exercise regimen in longitudinal studies (1618). In addition, HRRec and VO2peak are highly associated in studies that include older adults, athletes, and physically active individuals (1923). Together authors of these studies suggest that HRRec is a valid marker of cardiorespiratory fitness. However, authors of one study examined the association between cardiorespiratory fitness and HRRec in young, healthy, sedentary females and found no association between VO2peak and submaximal HRRec (24). Therefore, despite evidence in other populations, the use of HRRec as an accurate assessment of cardiorespiratory fitness in young and sedentary, but otherwise healthy (non-smoking, non-hypertensive, non-diabetic), adults is unclear.

The purpose of this study was to investigate the validity of using HRRec as an estimate of cardiorespiratory fitness in young, sedentary adults by determining a significant association exists between HRRec and VO2peak during a maximal graded exercise test (GXTmax). It is well-known that sedentary behavior is associated with cardiovascular disease risk factors (25). In the U.S., the amount of time young adults spent in sedentary behaviors increased 12% from 2007 to 2016 (26). Thus, young adults are an emerging at-risk population and valid clinical measures of cardiorespiratory fitness in this group are necessary.

METHODS

The study was reviewed and approved by the University of Kentucky Office of Research Integrity Medical Institutional Review Board (16-0789-F6A), and participants provided written informed consent before inclusion in the study. Participants between the ages of 18 and 45 years were recruited for a previously reported intervention study (27). Each participant completed a Physical Activity Readiness-Questionnaire and Health History Form and were excluded if they had existing contraindications to the GXTmax as specified in the American College of Sports Medicine Guidelines for Exercise Testing and Prescription (28).

Anthropometric and body composition measures, including standing height, body mass, circumference measurements, and a total-body dual-energy X-ray absorptiometry (DXA) scan were performed. Participants were measured in lightweight clothing containing no metal and without shoes. Standing height was determined to the nearest 0.1 cm from a wall-fixed meter stick (Pittsburgh®; Pittsburg, PA) with the participants’ hands positioned on the hips during a maximal inhalation. Body mass was determined to the nearest 0.1 kg using a calibrated electric scale (Escali Corp., Burnsville, MN). Circumference measurements (waist, abdominal, and hip) were taken in triplicate using a fiberglass anthropometric tape (Creative Health Products BMS-8) in accordance with the guidelines established by the Airlie Conference Proceedings (29). The mean of the 3 measures was used for analysis. Body composition was measured using total body DXA scans performed using a GE Lunar iDXA bone densitometer (Lunar Inc., Madison, WI). All female participants had negative urine pregnancy tests, which were taken immediately before DXA scanning. A single trained investigator completed and analyzed all scans using the Lunar software Version 14.10. Total body DXA absolute fat-free mass (kg) and mineral-free lean mass (kg), and absolute (kg) and relative (% of body mass) fat masses were determined for each participant.

GXTmax tests were completed using an indirect calorimetry testing system (Vmax Encore, Vyaire Medical, Yorba Linda, CA) with an integrated ECG (60 Hz sampling rate; Cardiosoft v6.51, GE Healthcare, Chicago, IL) and a treadmill ergometer. Before the exercise test, baseline heart rate and blood pressure were measured while the participant stood on the treadmill. During the test and recovery period continuous cardiovascular measurements (heart rate and ECG) were monitored. During the continuous, progressive (speed and grade) tests, oxygen consumption (VO2) was measured breath by breath and averaged over 1-minute intervals. The GXTmax tests were performed using an incremental treadmill protocol, with 2-min workload stages, developed for a previous study (30). Since prior studies have shown that similar VO2peak and HRmax are achieved regardless of treadmill protocol (ramp vs incremental), we chose to use the incremental protocol that is regularly used in our lab (31, 32). The initial stage of the test began with a walking speed of 5.1 km·h−1 and 0% grade. The test progressed with a 0.6- km·h−1 increase in speed and 2% increase in grade with each subsequent stage. During the final minute of each stage, blood pressure (by manual auscultation) and ratings of perceived exertion (RPE; using the original 6–20 Borg Scale (33)) were recorded. Heart rate was recorded in the last 10 seconds of each stage. The test was terminated in all participants in this study at volitional fatigue (3–4.5 seconds for treadmill to fully stop), and no participants presented contraindications to continuing according to the American College of Sports Medicine guidelines (28). Verbal encouragement was given throughout the test. After completing the GXTmax, five minutes of passive recovery data (heart rate and blood pressure) were taken while the participants’ remained standing on the treadmill. Achievement of VO2peak (ml·kg−1·min−1) was defined as a participant’s ability to obtain a minimum of two of the following criteria: respiratory exchange ratio ≥1.1 (determined by 1-minute averaging), RPE ≥ 17, and/or age-predicted maximal heart rate achieved or exceeded (34). The highest VO2 value observed during GXT was used for analysis. Eleven participants were not included in the analytic data set due to failure to achieve VO2peak.

Our primary analysis included heart rate recovery data at 1-, 2-, and 3-minutes post-exercise. Absolute HRRec (bpm) was defined as the heart rate at 1-min, 2-min and 3-minutes post-exercise subtracted from the maximal heart rate achieved during the graded exercise test. Relative HRRec was defined as absolute HRRec divided by maximal heart rate, multiplied by 100. Also, the difference between 1- and 2-min HRRec was calculated as an index of the slow component of the post-exercise HRRec (35).

Data were analyzed using Statistical Package for Social Sciences (SPSS, Version 26, IBM, Armonk, NY). Descriptive data are presented as means ± standard deviations. Independent sample t-tests were conducted to assess differences in measured variables between males and females. Pearson’s correlation coefficients were used to assess associations between VO2peak and relative and absolute HRRec as well as measures of body composition. Correlation analyses were stratified by sex to assess potential sex differences. Since we recognize that obesity could influence the analysis, we ran a secondary sensitivity analysis to determine if adiposity influenced our findings. Partial Pearson’s correlation coefficients were used to assess associations between VO2peak and relative and absolute HRRec in participants while controlling for body fat %. A one-way repeated measures analysis of variance (ANOVA) was performed to determine if relative and absolute HRRec differed between 1-, 2-, and 3-minutes post-exercise. Significance was ascribed at p<0.05.

RESULTS

All participants reported good health, including no known cardiovascular disease or hypertension, were medication-free (except contraceptives), and did not participate in a structured exercise regimen at the time of the study or participate in greater than 2 hours moderate-vigorous physical activity each week. Eleven of the 72 participants were excluded because they did not achieve VO2peak (details below). The remaining 61 participants included in the analytic data set (40 females) had varying adiposities (BMI: 16.6–37.0; Body fat percentage 12.4–51.7). Males had significantly greater height, body mass, and waist circumference than females (Table 1).

Table 1.

Participant characteristics and anthropometric measures



Variable
Male
Mean ± SD
(range)
Female
Mean ± SD
(range)
Total Group
Mean ± SD
(range)
Age (y) 24.0 ± 4.4
(18.0–31.0)
25.9 ± 6.7
(18.0–45.0)
25.2 ± 6.1
(18.0–45.0)
Height (cm) 176.0 ± 6.4*
(161.7–188.5)
164.0 ± 6.3
(152.0–183.2)
168.1 ± 8.5
(152.0–188.5)
Body Mass (kg) 78.7 ± 16.7*
(61.8–127.7)
67.8 ± 14.7
(42.9–107.6)
71.6 ± 16.2
(42.9–127.7)
BMI (kg∙m−2) 25.3 ± 4.5
(19.6–35.9)
25.2 ± 5.4
(16.6–37.0)
25.3 ± 5.1
(16.6–37.0)
Anthropometric
 Abdominal Circumference (cm) 89.3 ± 11.3
(75.3–110.3)
85.7 ± 13.2
(63.2–123.6)
87.0 ± 12.6
(63.2–123.6)
 Waist Circumference (cm) 83.8 ± 9.9*
(71.4–104.4)
76.3 ± 11.3
(58.3–107.2)
78.9 ± 11.3
(58.3–107.2)
 Hip Circumference (cm) 102.0 ± 9.7
(89.2–126.8)
102.6 ± 11.4
(84.5–134.0)
102.4 ± 10.8
(84.5–134.0)
Body Composition
 Body fat (%) 27.1 ± 7.1*
(12.4–39.8)
35.5 ± 8.6
(21.4–51.7)
32.6 ± 9.0
(12.4–51.7)
 Fat mass (kg) 21.5 ± 8.7
(7.4–36.1)
24.4 ± 10.8
(9.1–55.1)
23.4 ± 10.1
(7.4–55.1)
 Fat free mass (kg) 55.5 ± 10.1*
(43.5–90.2)
41.8 ± 6.1
(31.3–53.7)
46.5 ± 10.1
(31.3–90.2)
 Mineral free lean mass (kg) 52.7 ± 9.5*
(41.4–85.3)
39.3 ± 5.8
(29.4–50.5)
44.0 ± 9.6
(29.4–85.3)
*

Sex differences P<0.05

During the GXT, all participants in the analytic data set, except 3 females, were above an absolute HRRec of 18 bpm, a cutoff value for abnormal 1-minute HRRec observed in a previous study (Supplemental Table 1; DOI: 10.6084/m9.figshare.14691099) (36). VO2peak was not associated with absolute HRRec at 1-, 2-, or 3-minutes when males and females were examined separately, or when the entire cohort of participants were combined (Table 2; Figure 1). Absolute HRRec was also not significantly associated with VO2peak at 1-, 2-, or 3-minutes when controlling for body fat %. Increased absolute HRRec at 3-minutes was associated with an increased waist circumference for the total study group only. However, absolute HRRec at 1-, 2-, and 3-minutes were not significantly associated with age, BMI, or other anthropometric measures for males, females, or the total study group (Table 2). Males had a significantly greater VO2peak than females (Table 3). The difference between absolute HRRec at 1-min and 2-min was also not associated with VO2peak in males, females, or the total study group.

Table 2.

Pearson correlation coefficients among absolute HRRec, VO2peak, and anthropometric and body composition measures.


Variable
1-min Absolute HRRec 2-min Absolute HRRec 3-min Absolute HRRec
Male
(N = 21)
Female
(N = 40)
Total
(N = 61)
Male
(N = 21)
Female
(N = 40)
Total
(N = 61)
Male
(N = 21)
Female
(N = 40)
Total
(N = 61)
Age 0.27 0.08 0.09 0.21 0.11 0.11 0.34 0.21 0.18
BMI −0.19 0.15 0.05 −0.03 0.27 0.16 0.09 0.27 0.21
Cardiorespiratory Fitness
 VO2peak 0.15 −0.03 0.18 −0.08 −0.07 0.04 −0.19 −0.04 0.01
Anthropometric
 Abdominal Circum −0.15 0.15 0.09 0.08 0.19 0.17 0.24 0.21 0.25
 Waist Circum −0.20 0.18 0.14 0.03 0.24 0.20 0.19 0.23 0.26*
 Hip Circum 0.01 0.07 0.05 0.21 0.18 0.18 0.26 0.19 0.22
Body Composition
 Body fat −0.08 0.05 −0.10 0.26 0.14 0.09 0.33 0.21 0.16
 Fat mass −0.05 0.14 0.05 0.21 0.22 0.18 0.31 0.24 0.25
 Fat-free mass 0.03 0.24 0.26* −0.03 0.28 0.19 0.06 0.13 0.19
 Mineral-free lean mass 0.02 0.19 0.24 −0.03 0.25 0.18 0.06 0.10 0.18

Circum = Circumference; HRRec = heart rate recovery; VO2peak = peak oxygen uptake

*

Significant correlation p<0.05

Figure 1. Absolute and relative heart rate recovery are not associated with VO2peak.

Figure 1.

Representative exercise recovery HR data from male (A) and female (B) participants. Pearson correlations were used to compare VO2peak from the GXTmax to measures of absolute (C,E,G) and relative (D,F,H) heart rate recovery at 1, 2, and 3 minutes following exercise termination. HRRec = heart rate recovery

Table 3.

VO2peak, HR, and BP responses to maximal graded exercise test



Variable
Male (N = 21),
Mean ± SD
(range)a
Female (N = 40),
Mean ± SD
(range)a
Total Group (N = 61),
Mean ± SD
(range)a
Cardiorespiratory Fitness
 VO2peak (ml·kg−1·min−1) 43.3 ± 6.0*
(34.5–54.4)
33.0 ± 6.4
(18.3–45.0)
36.5 ± 7.9
(18.3–54.4)
Heart Rate (b∙min −1 )
 Baseline HR 83.3 ± 13.8
(63.0–122.0)
88.8 ± 10.9
(62.0–109.0)
86.9 ± 12.1
(62.0–122.0)
 Peak HR 198.6 ± 6.6*
(187.0–210.0)
191.3 ± 9.1
(157.0–210.0)
193.8 ± 9.0
(157.0–210.0)
Absolute HRRec (b∙min −1 )
 1 min 32.2 ± 8.0
(19.0–47.0)A
27.9 ± 8.3
(14.0–50.0)A
29.4 ± 8.4
(14.0–50.0)A
 2 min 54.5 ± 13.4
(29.0–88.0)A
50.8 ± 11.4
(24.0–79.0)A
52.1 ± 12.1
(24.0–88.0)A
 3 min 66.5 ± 13.7
(36.0–97.0)A
62.7 ± 10.5
(39.0–84.0)A
64.0 ± 11.8
(36.0–97.0)A
Relative HRRec (%)
 1-minute 16.3 ± 4.1
(9.2–23.5)B
14.7 ± 4.6
(7.3–26.5)B
15.2 ± 4.5
(7.3–26.5)B
 2-minute 27.5 ± 6.8
(14.5–44.9)B
26.6 ± 6.1
(12.6–43.7)B
26.9 ± 6.3
(12.6–44.9)B
 3-minute 33.5 ± 7.0
(18.0–49.5)B
32.8 ± 5.8
(20.5–44.8)B
33.1 ± 6.2
(18.0–49.5)B
Baseline BP (mmHg)
 Systolic 118.1 ± 6.0*
(106.0–126.0)
112.5 ± 7.4
(90.0–130.0)
114.4 ± 7.4
(90.0–130.0)
 Diastolic 76.6 ± 4.2*
(68.0–82.0)
74.0 ± 4.5
(62.0–82.0)
74.9 ± 4.6
(62.0–82.0)
Peak BP (mmHg)
 Systolic 189.6 ± 13.7*
(160.0–220.0)
164.7 ± 16.1
(140.0–224.0)
173.2 ± 19.4
(140.0–224.0)
 Diastolic 88.2 ± 2.0*
(86.0–94.0)
85.5 ± 1.3
(82.0–90.0)
86.4 ± 2.0
(82.0–94.0)
Recovery BP (mmHg)
 1-min Systolic 163.7 ± 18.6*
(142.0–216.0)
145.4 ± 15.1
(118.0–198.0)
151.7 ± 18.4
(118.0–216.0)
 1-min Diastolic 85.5 ± 2.0*
(84.0–90.0)
83.4 ± 1.9
(78.0–86.0)
84.1 ± 2.2
(78.0–90.0)
 3-min Systolic 140.9 ± 15.6*
(108.0–188.0)
129.4 ± 10.8
(102.0–164.0)
133.3 ± 13.7
(102.0–188.0)
 3-min Diastolic 83.0 ± 2.2*
(78.0–88.0)
79.5 ± 3.9
(64.0–84.0)
80.7 ± 3.8
(64.0–88.0)

BP = blood pressure; HR = heart rate; HRRec = heart rate recovery;

a

Like capital letters indicate significant differences based on repeated measures analysis of variance

*

Sex differences P<0.05

Increased age (r = −0.28; p = 0.03), BMI (r = −0.47; p < 0.01) and waist (r = −0.27; p = 0.04), abdominal (r = −0.43; p < 0.01), and hip circumferences (r = −0.46; p < 0.01) were associated with a lower VO2peak for the total study group. Males, compared to females, had higher HR at peak exercise as well as higher systolic and diastolic blood pressure at baseline, peak exercise, and during recovery (Table 3).

Total body DXA scans were used to determine body composition measures for all participants. Body composition varied in our cohort (%fat range:12.4–51.7%). Increased absolute HRRec at 1-minute was associated with increased fat-free mass in the total study group only. However, fat mass, %fat, and mineral-free lean mass were not associated with absolute HRRec in males, females, or total study group (Table 2). Increased %fat and fat mass were associated with a reduced VO2peak in males and females separately, as well as the total study group. Also increased mineral-free lean mass and fat-free mass was associated with an increased VO2peak for the total study group only (Figure 2). Males had greater fat-free mass and mineral-free lean mass compared to females (Table 1). Additionally, females had greater body fat percentage compared to males (Table 1).

Figure 2. Absolute and relative measures of body composition are associated with VO2peak.

Figure 2.

Pearson correlation was used to compare VO2peak from the GXTmax to body fat percentage (A), fat mass (B), mineral-free lean mass (C), and fat-free mass (D).

Since peak HR varied within our cohort (range: 157–210), we also examined the relationship between VO2peak and relative HRRec, which accounts for variability in peak HR. Relative HRRec at 1, 2, or 3 minutes were not significantly associated with measures of VO2peak when males and females were examined separately, or when the entire cohort of participants were combined (Figure 1, Table 4). Relative HRRec was also not significantly associated with VO2peak at 1-, 2-, or 3-mintues when controlling for body fat %. Greater relative HRRec at 3 minutes was associated with increasing age and increasing fat mass for the total study group only. However, relative HRRec measures were not significantly associated with BMI, or any other anthropometric and body composition measure for males, females, or the total study group (Table 4).

Table 4.

Pearson correlation coefficients among relative HRRec, VO2peak, and anthropometric and body composition measures.

1-min Relative HRRec 2-min Relative HRRec 3-min Relative HRRec
Male
(N = 21)
Female
(N = 40)
Total
(N = 61)
Male
(N = 21)
Female
(N = 40)
Total
(N = 61)
Male
(N = 21)
Female
(N = 40)
Total
(N = 61)
Age 0.31 0.12 0.13 0.25 0.16 0.17 0.39 0.23 0.25*
BMI −0.12 0.12 0.06 0.03 0.24 0.17 0.16 0.24 0.21
Cardiorespiratory Fitness
 VO2peak 0.11 −0.07 0.09 −0.12 −0.13 −0.06 −0.23 −0.15 −0.10
Anthropometric
 Abdominal Circum −0.09 0.13 0.09 0.13 0.18 0.17 0.29 0.21 0.24
 Waist
 Circum
−0.13 0.16 0.12 0.09 0.23 0.19 0.25 0.22 0.23
 Hip Circum 0.08 0.05 0.05 0.26 0.16 0.19 0.32 0.19 0.23
Body Composition
 Body fat −0.04 0.01 −0.08 0.29 0.10 0.11 0.35 0.16 0.17
 Fat mass 0.01 0.12 0.06 0.26 0.19 0.20 0.36 0.23 0.25*
 Fat-free mass 0.09 0.24 0.24 0.04 0.30 0.17 0.13 0.19 0.16
 Mineral-free lean mass (kg) 0.09 0.19 0.22 0.03 0.26 0.15 0.13 0.15 0.14

BMI = body mass index; Circum = Circumference; HRRec = heart rate recovery; VO2peak = peak oxygen uptake

*

Significant correlation P < 0.05

DISCUSSION

HRRec is recognized as a powerful prognostic measure and predictor of mortality in older adults (5, 6, 9). HRRec and VO2peak are both used to inform clinical practices in older adults because they are associated with health and longevity (2, 3, 9). Furthermore, numerous studies have shown that HRRec and VO2peak are increased in physically active compared to sedentary participants, and after completing various exercise regimens, suggesting an important physiological relationship between HRRec and cardiorespiratory fitness (14, 16, 17, 37). However, the utility of HRRec as an indicator of cardiorespiratory fitness may vary by population and has not been well-studied in young sedentary adults.

Consistent with this study, Tonello et al. also examined the association between cardiorespiratory fitness and HRRec in young (mean age: 34.5yrs) adults not participating in structured exercise and found no association between VO2peak and 1-, 2-, 3- and 5-minute HRRec (24). While our study and Tonello et al. both studied young sedentary adults, the 2 studies used somewhat different methods. Our study included both sexes and determined VO2peak and HRRec from treadmill exercise testing, while Tonello et al. studied only females and used a cycle ergometer. Maximal oxygen uptake measured by cycle ergometer has been shown to be lower than treadmill protocols (38, 39). Also, Tonello et al. utilized a submaximal test to measure HRRec (that induced a HR at 86% age-predicted max), while our participants performed a GXTmax to volitional fatigue for determination of HRRec. Thus, despite distinct methodological differences, the fact that our 2 studies had similar results is strong evidence that HRRec may not be a valid indicator of cardiorespiratory fitness in young, sedentary adults.

Our study examined HRRec at 1-, 2-, and 3-minutes as these are the measures that have been associated with cardiorespiratory fitness in other populations (19, 23, 40). HRRec after exercise is orchestrated by both the parasympathetic and sympathetic branches of the autonomic nervous system (41). Parasympathetic reactivation is predominately responsible for the decrease in heart rate immediately following exercise, while sympathetic withdrawal occurs more gradually (41, 42). For this reason, previous studies have considered HRRec at 1- and 2-minutes an indicator of vagal reactivation (5, 6). In our study of young sedentary adults, HRRec at 1-, 2-, and 3-min was not significantly associated with cardiorespiratory fitness in our total analytic data set or when stratified by sex. Thus, vagal reactivation may not be a reliable indicator of cardiorespiratory fitness in this population.

Our study cohort spanned a large range of adiposities, and 47% of participants were overweight or obese (BMI≥25). Previous studies found that increased obesity is associated with reduced 1-minute HRRec (43, 44). In contrast, our data revealed that an increased waist circumference was associated with a greater absolute 3-min HRRec and increased fat mass was associated with a greater relative 3-min HRRec. However, this unexpected finding may be due to the difference in physiological significance of the 3-minute HRRec measure compared to the 1-minute (i.e., sympathetic withdrawal vs. parasympathetic reactivation). Also, our previous data showed that HRRec following a GXTmax was similar in healthy-weight and obese children, indicating that young individuals with poor body composition can have normal vagal reactivation following exercise (45).

Physical activity status may be another factor influencing the relationship between VO2peak and HRRec. Studies in young adults, which included both physically active and sedentary participants, reported a significant association between VO2peak and HRRec (22, 23, 40). Studies have also found that subjectively- and objectively-measured physical activity were associated with HRRec (23, 24). Although our subjects did not participate in structured exercise, incidental activity may have influenced HRRec, as shown by Tonello et al (24). In fact, fat-free mass, which is affected by sedentary behavior (46), was associated with 1-min HRRec in our cohort. Age may also be an important factor since a significant association between VO2peak and HRRec following a maximal treadmill test was observed in older adults with congestive heart failure (19). Thus, sedentary behavior and young age appear to be important contributing factors when determining if HRRec is a valid indicator of cardiorespiratory fitness.

We also found that VO2peak was associated with body fat and fat-free body composition measures. Although VO2peak is expressed relative to body mass, the composition of body mass varies. In agreement with our findings, previous research reported that greater %fat was associated with reduced VO2peak and greater fat free mass was associated with increased VO2peak (47, 48).

There were some limitations of our study. First, our HRRec measures were collected during passive recovery while participants remained standing. Other studies collected either active recovery measures or passive recovery measures while participants were seated or lying down (6, 23, 36). However, immediately moving participants to a seated or supine position following a maximal exercise test can be difficult in practice. Since our goal was to inform clinical utility, we collected measures while participants remained standing. Second, our sample size was small with varying adiposities. However, since we designed this study to inform on clinical utility of HRRec in the general population, our inclusion criteria included young, relatively healthy, and sedentary individuals, and no exclusion criteria regarding obesity status were implemented. Third, we did not control for dietary supplements that may have been consumed during the study. Fourth, we did not control for the phase of the menstrual cycle when the GXTmax was performed for female participants. It is possible that phase of the menstrual cycle may influence maximal oxygen uptake (49).

Since the clinical utility of HRRec was first introduced in the late 1990s, many studies have investigated HRRec as a measure of cardiovascular health and fitness in a variety of populations (5, 20, 23, 24). HRRec has been shown to be a useful diagnostic and prognostic tool for coronary artery disease, heart failure and mortality in older adults, including cardiovascularly healthy participants and heart failure patients (57). However, few studies have been performed in young, sedentary adults, which is a rapidly expanding and at-risk population. Valid, non-invasive measures of cardiorespiratory fitness are needed to identify at-risk individuals at a young age and develop interventional therapeutic strategies.

CONCLUSION

The prevalence of cardiovascular disease among U.S. adults is a staggering 49% of the population (50). We found that HRRec measures were not significantly associated with VO2peak in a sample of young, sedentary, adults. While HRRec measures have been used as a clinical indicator of health and morbidity in other populations, they are not a reliable indicator of cardiorespiratory fitness in sedentary young adults.

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Funding Source:

This study was supported by a Barnstable Brown Diabetes and Obesity Center Pilot Award, a National Institutes of Health (UL1TR001998) Center for Clinical and Translational Science Pilot Award, the National Center for Advancing Translational Sciences (NIH TL1TR001997), the University of Kentucky Pediatric Exercise Physiology Laboratory Endowment, and the University of Kentucky Arvle & Ellen Turner Thacker Research Fund.

Footnotes

No conflicts of interest

REFERENCES

  • 1.Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O’Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS, American Heart Association Council on E, Prevention Statistics C, Stroke Statistics S. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019;139(10):e56–e528. [DOI] [PubMed] [Google Scholar]
  • 2.Holtermann A, Marott JL, Gyntelberg F, Sogaard K, Mortensen OS, Prescott E, Schnohr P. Self-reported cardiorespiratory fitness: prediction and classification of risk of cardiovascular disease mortality and longevity--a prospective investigation in the Copenhagen City Heart Study. J Am Heart Assoc 2015;4(1):e001495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Clausen JSR, Marott JL, Holtermann A, Gyntelberg F, Jensen MT. Midlife Cardiorespiratory Fitness and the Long-Term Risk of Mortality: 46 Years of Follow-Up. J Am Coll Cardiol 2018;72(9):987–95. [DOI] [PubMed] [Google Scholar]
  • 4.Ross R, Blair SN, Arena R, Church TS, Despres JP, Franklin BA, Haskell WL, Kaminsky LA, Levine BD, Lavie CJ, Myers J, Niebauer J, Sallis R, Sawada SS, Sui X, Wisloff U, American Heart Association Physical Activity Committee of the Council on L, Cardiometabolic H, Council on Clinical C, Council on E, Prevention, Council on C, Stroke N, Council on Functional G, Translational B, Stroke C. Importance of Assessing Cardiorespiratory Fitness in Clinical Practice: A Case for Fitness as a Clinical Vital Sign: A Scientific Statement From the American Heart Association. Circulation. 2016;134(24):e653–e99. [DOI] [PubMed] [Google Scholar]
  • 5.Cole CR, Blackstone EH, Pashkow FJ, Snader CE, Lauer MS. Heart-rate recovery immediately after exercise as a predictor of mortality. N Engl J Med 1999;341(18):1351–7. [DOI] [PubMed] [Google Scholar]
  • 6.Cole CR, Foody JM, Blackstone EH, Lauer MS. Heart rate recovery after submaximal exercise testing as a predictor of mortality in a cardiovascularly healthy cohort. Ann Intern Med 2000;132(7):552–5. [DOI] [PubMed] [Google Scholar]
  • 7.Tang YD, Dewland TA, Wencker D, Katz SD. Post-exercise heart rate recovery independently predicts mortality risk in patients with chronic heart failure. J Card Fail 2009;15(10):850–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lipinski MJ, Vetrovec GW, Froelicher VF. Importance of the first two minutes of heart rate recovery after exercise treadmill testing in predicting mortality and the presence of coronary artery disease in men. Am J Cardiol 2004;93(4):445–9. [DOI] [PubMed] [Google Scholar]
  • 9.Qiu S, Cai X, Sun Z, Li L, Zuegel M, Steinacker JM, Schumann U. Heart Rate Recovery and Risk of Cardiovascular Events and All-Cause Mortality: A Meta-Analysis of Prospective Cohort Studies. J Am Heart Assoc 2017;6(5):e005505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yu TY, Hong WJ, Jin SM, Hur KY, Jee JH, Bae JC, Kim JH, Lee MK. Delayed heart rate recovery after exercise predicts development of metabolic syndrome: A retrospective cohort study. J Diabetes Investig 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Jae SY, Bunsawat K, Kunutsor SK, Yoon ES, Kim HJ, Kang M, Choi YH, Franklin BA. Relation of Exercise Heart Rate Recovery to Predict Cardiometabolic Syndrome in Men. Am J Cardiol 2019;123(4):582–7. [DOI] [PubMed] [Google Scholar]
  • 12.Darr KC, Bassett DR, Morgan BJ, Thomas DP. Effects of age and training status on heart rate recovery after peak exercise. Am J Physiol 1988;254(2 Pt 2):H340–3. [DOI] [PubMed] [Google Scholar]
  • 13.Dixon EM, Kamath MV, McCartney N, Fallen EL. Neural regulation of heart rate variability in endurance athletes and sedentary controls. Cardiovasc Res 1992;26(7):713–9. [DOI] [PubMed] [Google Scholar]
  • 14.Du N, Bai S, Oguri K, Kato Y, Matsumoto I, Kawase H, Matsuoka T. Heart rate recovery after exercise and neural regulation of heart rate variability in 30–40 year old female marathon runners. J Sports Sci Med 2005;4(1):9–17. [PMC free article] [PubMed] [Google Scholar]
  • 15.Barak OF, Ovcin ZB, Jakovljevic DG, Lozanov-Crvenkovic Z, Brodie DA, Grujic NG. Heart rate recovery after submaximal exercise in four different recovery protocols in male athletes and non-athletes. J Sports Sci Med 2011;10(2):369–75. [PMC free article] [PubMed] [Google Scholar]
  • 16.Sugawara J, Murakami H, Maeda S, Kuno S, Matsuda M. Change in post-exercise vagal reactivation with exercise training and detraining in young men. Eur J Appl Physiol 2001;85(3–4):259–63. [DOI] [PubMed] [Google Scholar]
  • 17.Giallauria F, Del Forno D, Pilerci F, De Lorenzo A, Manakos A, Lucci R, Vigorito C. Improvement of heart rate recovery after exercise training in older people. J Am Geriatr Soc 2005;53(11):2037–8. [DOI] [PubMed] [Google Scholar]
  • 18.Hochsmann C, Dorling JL, Apolzan JW, Johannsen NM, Hsia DS, Church TS, Martin CK. Effect of different doses of supervised aerobic exercise on heart rate recovery in inactive adults who are overweight or obese: results from E-MECHANIC. Eur J Appl Physiol 2019;119(9):2095–103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Hirsh DS, Vittorio TJ, Barbarash SL, Hudaihed A, Tseng CH, Arwady A, Goldsmith RL, Jorde UP. Association of heart rate recovery and maximum oxygen consumption in patients with chronic congestive heart failure. J Heart Lung Transplant 2006;25(8):942–5. [DOI] [PubMed] [Google Scholar]
  • 20.Watson AM, Brickson SL, Prawda ER, Sanfilippo JL. Short-Term Heart Rate Recovery is Related to Aerobic Fitness in Elite Intermittent Sport Athletes. J Strength Cond Res 2017;31(4):1055–61. [DOI] [PubMed] [Google Scholar]
  • 21.Mongin D, Chabert C, Courvoisier DS, Garcia-Romero J, Alvero-Cruz JR. Heart rate recovery to assess fitness: comparison of different calculation methods in a large cross-sectional study. Res Sports Med 2021:1–14. [DOI] [PubMed] [Google Scholar]
  • 22.Facioli TP, Philbois SV, Gastaldi AC, Almeida DS, Maida KD, Rodrigues JAL, Sanchez-Delgado JC, Souza HCD. Study of heart rate recovery and cardiovascular autonomic modulation in healthy participants after submaximal exercise. Sci Rep 2021;11(1):3620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Fan LM, Collins A, Geng L, Li JM. Impact of unhealthy lifestyle on cardiorespiratory fitness and heart rate recovery of medical science students. BMC Public Health. 2020;20:1012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tonello L, Reichert FF, Oliveira-Silva I, Del Rosso S, Leicht AS, Boullosa DA. Correlates of Heart Rate Measures with Incidental Physical Activity and Cardiorespiratory Fitness in Overweight Female Workers. Front Physiol 2015;6:405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Park JH, Joh HK, Lee GS, Je SJ, Cho SH, Kim SJ, Oh SW, Kwon HT. Association between Sedentary Time and Cardiovascular Risk Factors in Korean Adults. Korean J Fam Med 2018;39(1):29–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Du Y, Liu B, Sun Y, Snetselaar LG, Wallace RB, Bao W. Trends in Adherence to the Physical Activity Guidelines for Americans for Aerobic Activity and Time Spent on Sedentary Behavior Among US Adults, 2007 to 2016. JAMA Netw Open. 2019;2(7):e197597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Thomas JM, Kern PA, Bush HM, McQuerry KJ, Black WS, Clasey JL, Pendergast JS. Circadian rhythm phase shifts caused by timed exercise vary with chronotype. JCI Insight. 2020;5(3):e134270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Pescatello LS, Arena R, Riebe D, Thompson PD. ACSM’s Guidelines for Exercise Testing and Prescription. Ninth ed. Philadelphia, PA: Wolters Kluwer; 2014. [DOI] [PubMed] [Google Scholar]
  • 29.Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign, IL: Human Kinetics Books; 1988. [Google Scholar]
  • 30.Tranel HR, Schroder EA, England J, Black WS, Bush H, Hughes ME, Esser KA, Clasey JL. Physical activity, and not fat mass is a primary predictor of circadian parameters in young men. Chronobiol Int 2015;32(6):832–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Davies B, Daggett A, Jakeman P, Mulhall J. Maximum oxygen uptake utilising different treadmill protocols. Br J Sports Med 1984;18(2):74–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Myers J, Buchanan N, Walsh D, Kraemer M, McAuley P, Hamilton-Wessler M, Froelicher VF. Comparison of the ramp versus standard exercise protocols. J Am Coll Cardiol 1991;17(6):1334–42. [DOI] [PubMed] [Google Scholar]
  • 33.Borg G Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med 1970;2(2):92–8. [PubMed] [Google Scholar]
  • 34.Tanaka H, Monahan KD, Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol 2001;37(1):153–6. [DOI] [PubMed] [Google Scholar]
  • 35.Boullosa DA, Tuimil JL, Leicht AS, Crespo-Salgado JJ. Parasympathetic modulation and running performance in distance runners. J Strength Cond Res 2009;23(2):626–31. [DOI] [PubMed] [Google Scholar]
  • 36.Watanabe J, Thamilarasan M, Blackstone EH, Thomas JD, Lauer MS. Heart rate recovery immediately after treadmill exercise and left ventricular systolic dysfunction as predictors of mortality: the case of stress echocardiography. Circulation. 2001;104(16):1911–6. [PubMed] [Google Scholar]
  • 37.Haroonrashid M Hattiwale SHH, Salim A. Dhundasi, Kusal K. Das Recovery Heart Rate Response in Sedentary and Physically Active Young Healthy Adults of Bijapur, Karnataka, India. Basic Sciences of Medicine 2012;1(5):30–3. [Google Scholar]
  • 38.Keren G, Magazanik A, Epstein Y. A comparison of various methods for the determination of VO2max. Eur J Appl Physiol Occup Physiol 1980;45(2–3):117–24. [DOI] [PubMed] [Google Scholar]
  • 39.Maeder MT, Ammann P, Rickli H, Brunner-La Rocca HP. Impact of the exercise mode on heart rate recovery after maximal exercise. Eur J Appl Physiol 2009;105(2):247–55. [DOI] [PubMed] [Google Scholar]
  • 40.Vicente-Campos D, Martin Lopez A, Nunez MJ, Lopez Chicharro J. Heart rate recovery normality data recorded in response to a maximal exercise test in physically active men. Eur J Appl Physiol 2014;114(6):1123–8. [DOI] [PubMed] [Google Scholar]
  • 41.Pierpont GL, Voth EJ. Assessing autonomic function by analysis of heart rate recovery from exercise in healthy subjects. Am J Cardiol 2004;94(1):64–8. [DOI] [PubMed] [Google Scholar]
  • 42.Kannankeril PJ, Le FK, Kadish AH, Goldberger JJ. Parasympathetic effects on heart rate recovery after exercise. J Investig Med 2004;52(6):394–401. [DOI] [PubMed] [Google Scholar]
  • 43.Dimkpa U, Oji JO. Association of heart rate recovery after exercise with indices of obesity in healthy, non-obese adults. Eur J Appl Physiol 2010;108(4):695–9. [DOI] [PubMed] [Google Scholar]
  • 44.Barbosa Lins TC, Valente LM, Sobral Filho DC, Barbosa e Silva O. Relation between heart rate recovery after exercise testing and body mass index. Rev Port Cardiol 2015;34(1):27–33. [DOI] [PubMed] [Google Scholar]
  • 45.Easley EA, Black WS, Bailey AL, Lennie TA, Sims WJ, Clasey JL. Recovery Responses to Maximal Exercise in Healthy-Weight Children and Children With Obesity. Res Q Exerc Sport. 2018;89(1):38–46. [DOI] [PubMed] [Google Scholar]
  • 46.Kyle UG, Morabia A, Schutz Y, Pichard C. Sedentarism affects body fat mass index and fat-free mass index in adults aged 18 to 98 years. Nutrition. 2004;20(3):255–60. [DOI] [PubMed] [Google Scholar]
  • 47.Maciejczyk M, Wiecek M, Szymura J, Szygula Z, Wiecha S, Cempla J. The influence of increased body fat or lean body mass on aerobic performance. PLoS One. 2014;9(4):e95797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Mondal H, Mishra SP. Effect of BMI, Body Fat Percentage and Fat Free Mass on Maximal Oxygen Consumption in Healthy Young Adults. J Clin Diagn Res 2017;11(6):CC17–CC20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Godbole G, Joshi AR, Vaidya SM. Effect of female sex hormones on cardiorespiratory parameters. J Family Med Prim Care. 2016;5(4):822–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW, American Heart Association Council on E, Prevention Statistics C, Stroke Statistics S. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation. 2021;143(8):e254–e743. [DOI] [PMC free article] [PubMed] [Google Scholar]

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