SciELO - Scientific Electronic Library Online

vol.25 issue1Modernity and the regulation of bodies: Elias meets FoucaultMorphological and nociceptive effects of mechanical vibration on the sciatic nerve of oophorectomized Wistar rats author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Motriz: Revista de Educação Física

On-line version ISSN 1980-6574

Motriz: rev. educ. fis. vol.25 no.1 Rio Claro  2019  Epub Feb 11, 2019 

Original Article

Sex and exercise-mode differences in post-exercise blood pressure and heart rate variability responses during a workday

Igor Moraes Mariano1

Daniela Coelho Domingos1

Ana Luiza Amaral Ribeiro1

Tiago Peçanha2

Herbert Gustavo Simões3

Guilherme Morais Puga1

1 Universidade Federal de Uberlândia, UFU, Physical Education Department, Uberlândia, MG, Brazil

2 Universidade de São Paulo, USP, School of Physical Education and Sport, São Paulo, SP, Brazil

3 Universidade Católica de Brasília, UCB, School of Physical Education, Brasília, DF, Brazil



To assess the influences of sex and exercise mode on post-exercise Blood pressure (BP) immediately after exercise and during daily work.


20 healthy adults (9F/11M), randomly underwent three experimental sessions prior to their work routine: RE- Circuit resistance exercise at 40% of 1RM, AE- Aerobic exercise at 60-70% of heart rate (HR) reserve and CON- Control session. BP was assessed before and along the 1st hour of the post-intervention period (i.e. laboratory phase), and intermittently for 9h in the workplace. Results: RE promoted great BP reductions, but only in men, and this reduction persisted along the daily work (Men-RE: SBP= -1069±695 mmHg.540min; DBP= -612±325 mmHg.540min). On the other hand, AE produced slight DBP reduction in men during daily work (Men-AE: DBP= -241±730 mmHg.540min), and in women only in the laboratory phase (Women-AE: SBP= -108±65mmHg.60min).


Resistance exercise promotes a significant positive impact on BP in men but does not seem to be effective for women. On the other hand, AE produces moderate BP reductions in men and women.

Keywords: exercise; post-exercise hypotension; sex distribution; heart rate; physiological stress


Exercise is an important non-pharmacological therapy for cardiovascular risk prevention and treatment. Physical training promotes improvements in several cardiovascular parameters, including reductions of blood pressure (BP) 1 and resting heart rate (HR)2, and improvements in ventricular 3 and endothelial 4 functions. Interestingly, some recent studies have demonstrated that a single session of exercise is also able to promote several cardiovascular benefits, among them a transient reduction in BP which can persist for up to 24 hours 5,6, otherwise known as post-exercise hypotension (PEH).

PEH has been shown to occur either after aerobic (AE) 5,7,8 or resistance exercises (RE) sessions 9-12, men and women 7,8,13-16, normotensive 12,17,18 and hypertensive 5,9,11 and in young 13-15,17 and old adults 5,10,11. Regarding its clinical relevance, PEH is an important adjuvant in BP control of hypertensive 19,20, and also a strategy for prevention of hypertension in normotensives 21. Additionally, there are indications that the BP reduction occurring after a single session of exercise is positively associated with the chronic BP reduction achieved after a period of physical training 22. However, despite all of these implications, PEH magnitude and duration have been shown to be highly variable, with some studies reporting magnitudes of reductions between 0-20 mmHg 9,10,17, and durations between 1-24h 5,9,10,18.

Factors such as sex and the type of exercise type help to explain the high variability in PEH. A greater PEH has been reported after AE than RE 20,23, but circumstantial variables might affect such relations and little is known about the concurrent influence of sex on post-AE and post-RE BP responses. So, the aim of the present study was to assess the influence of sex and exercise type on PEH in healthy adults. To address this issue, we compared, in men and women, the BP responses after a moderate-intensity AE, a circuit-based RE and a non-exercise control session (CON). Since recent a study had reported that RE can result in a greater cardiac autonomic stress than AE 24, we also compared the post-exercise HR variability (HRV) between sessions.



Twenty non-sedentary (assessed from International Physical Activity Questionnaire - IPAQ; Table 1) healthy subjects participated in this study (11 men and 9 women). The sample comprised the staff (professors and technicians) from the Federal University of Uberlândia. All volunteers were informed of the risks and benefits of the study and signed an informed consent form before the beginning of the study. This study was approved by the local Ethics Committee for human studies from Federal University of Uberlandia (CAAE: 28174814.9.0000.5152). All volunteers’ characteristics are presented in table 1.

Table 1: General characteristics of all participants 

Men (n=11) Women (n=9) All (n=20)
Age (years) 36.6 ± 10 40.0 ± 11.1 38.2 ± 10.4
BM (Kg) 83.7 ± 12.2* 63.4 ± 6.1 74.6 ± 14.2
Height (m) 1.76 ± 0.05* 1.59 ± 0.03 1.68 ±0.09
BMI (Kg/m2) 27 ± 3 25 ± 3 26 ± 3
WHR 0.86 ± 0.05* 0.77 ± 0.06 0.82 ± 0.07
Resting SBP (mmHg) 123 ± 8* 101 ± 7 113 ± 13
Resting DBP (mmHg) 73 ± 4* 65 ± 5 70 ± 6
Resting HR (bpm) 71 ± 8 75 ± 10 73 ± 9
HR Max. (bpm) 183 ± 10 180 ± 11 182 ± 10
1RM Leg Press (Kg) 310 ± 55* 175 ± 48 249 ± 86
1RM Lat. Pull down (Kg) 75 ± 11* 41 ± 5 59 ± 19
1RM Leg Curl (Kg) 46 ± 13* 24 ± 5 37 ± 15
1RM Chest Press (Kg) 58 ± 11* 24 ± 4 43 ± 19
1RM Leg extension (Kg) 77 ± 18* 41 ± 8 61 ± 23
1RM Low Rower (Kg) 67 ± 8* 36 ± 3 53 ± 17
IPAQ - irregularly active 5 (45%) 5 (55%) 10 (50%)
IPAQ - Active 4 (36%) 2 (22%) 6 (30%)
IPAQ - Very Active 2 (18%) 2 (22%) 4 (20%)

Notes: BM- Body Mass; BMI- Body Mass Index; DBP- Diastolic Blood Pressure; HR- Heart Rate; SBP- Systolic Blood Pressure; WHR- Waist-Hip ratio; IPAQ - International Physical Activity Questionnaire.

*Difference with women; P≤0.05.

Experimental Protocol

The experimental protocol was carried out in four separate visits 48h apart. In the first visit, the volunteers answered questions about the presence of risk factors for cardiovascular disease, physical activity was assessed using IPAQ, anthropometric measurements were taken (i.e. body mass, height, waist-to-hip ratio), and maximal dynamic strength was assessed using a 1RM test, based on the protocol described by Nieman 25. Briefly, the participant attempted up to five times to reach the 1RM in each exercise performed in the study. The highest workload attained was defined as the 1RM.

From the second to the fourth visits, participants randomly underwent the three experimental sessions. Prior to the experimental sessions, the volunteers were instructed to maintain their regular diet, to avoid beverages containing caffeine and alcohol and do not perform physical exercises. All volunteers were familiarized with treadmill and the RE before the experimental sessions.

The experimental session began at 07:00 am, after the subjects’ usual breakfast. The session started with resting measurements in the seated position. Subjects, then, performed the exercise interventions (AE; RE; CON). After the interventions, subjects remained in seated recovery at the laboratory, for 60 min, and then returned to their occupation under intermittent monitoring for an additional 9 hours (Figure 1).

Experimental study design; †Beat-by-beat HR recording; *Blood pressure measurement.

Figure 1: Experimental study design 


Aerobic exercise (AE) session:

AE was performed on a treadmill for 30 minutes at 60 - 70% of HR reserve (HRR). Maximal HR was estimated according to the age (i.e. maximum HR = 220 - age) 26. During AE, the treadmill speed was fixed to 5.5 km/h and further changes in exercise intensity were provided by changes in treadmill inclination (%).

Resistance exercise (RE) session:

RE consisted on three circuits of six exercises at 40% of 1RM. During each exercise, the participant performed 20 repetitions (60 seconds) with 30 seconds of interval between exercise and two minutes between circuits. The order of exercises was: Leg press 45° (hip and knee extensions), Lat. Pull down (frontal shoulder adduction with elbow flexion), Leg curl (knee flexion), Chest press on the machine (horizontal shoulder abduction with elbow extension), Leg extension on the machine (knee extension) and Low rower (shoulder abduction and elbow flexion).

Control session (CON):

During CON, participants remained seated in a comfortable chair without talking for 30 min.


HR was recorded using an HR monitor (POLAR® RS800cx; sampling frequency = 1000Hz) on a beat-by-beat basis. HR was registered in a seat position in bouts of fifteen minutes prior to each BP measurement, only in laboratory conditions (i.e. rest and 60 min of recovery). During all sessions and phases, systolic (SBP) and diastolic BP (DBP) were measured three times by an automatic BP analyzer (Microlife® BP 3BT0A), that was previously calibrated 27. The average of the three measurements was used for the analyses. Resting measurements were taken after 20 min of rest. At recovery, SBP and DBP were measured every 15 minutes for 60 minutes at the laboratory environment and at 210, 360 and 540 minutes after exercise at the office where they worked. Office BP measurements were carried out by the same researchers, using the same apparatus of the laboratory. So, the BP was monitored for 9 hours after the experimental sessions.

Data Analyses

Heart rate (HR) and Heart Rate Variability (HRV)

HR data were transferred to a computer using Polar Pro trainer5® software and HRV analysis was performed in Kubios HRV 2.2 (University of Kuopio, Finland), that was validated for this analysis by Tarvainen and co-workers 28. Prior to the analysis, the RR intervals (RRi) were visually inspected and filtered using a moving average filter. The HRV was analyzed in both time- and frequency-domain 29.

For time-domain analysis, the following indices were calculated: RMSSD - the square root of the mean of the sum of the squares of differences between adjacent RRi; SDNN - standard deviation of all normal RRi recorded at an interval of time expressed in ms; and pNN50 - percentage of pairs of adjacent RRi differing by more than 50 milliseconds in the whole recording. For frequency-domain analysis, firstly the RRi series were interpolated at 4 Hz and then the signal linear trend component removal was performed using the smooth priors approach. For the power spectral density function calculation, the RRi interval signal was multiplied by a Hanning window and then the Fast Fourier Transform of the product was taken. The low- and high-frequency spectral bands (LF and HF, respectively) were calculated through the integral of the power spectral density curve in their respective bands (i.e. LF: 0.04 - 0.15 Hz; HF: 0.15 - 0.4 Hz; ms2). LF and HF were expressed in normalized units (nu), which represent the relative contribution of each component for the total power minus the very low-frequency component 29.

Blood pressure (BP)

The BP responses over time were analyzed using the net changes (∆) of each time points of SBP and DBP in relation to the rest BP values. We also estimated the incremental area under the curve (AUC) of these BP responses over the laboratory, office and total general measures during a working day. AUC (BP x Time) was estimated by the trapezoidal method.

Statistical analysis

Data are presented as a mean ± standard error of mean and its normality was checked by Shapiro-Wilk test. The area under the curve (AUC) was calculated using the trapezoidal method (integration), in order to evaluate the behavior of the variables in relation to time using the software Graph Pad Prism version 4. The comparison of baseline variables between sexes was performed by independent T-Test. The comparisons of AUCs BP and HRV between the sessions were, respectively, performed using One-way and Two-way ANOVAs (session vs. time). When necessary, the Newman-Kells post-hoc test was employed to identify the differences. All analyses were performed in SPSS for Windows 21.0 (Illinois, USA) and the significant level was set at p≤0.05.


The general characteristics of the volunteers are shown in Table 1. Greater values of SBP, DBP, Body mass, Height, Waist-Hip Ratio and 1RM workload for all exercises were observed in men (P<0.05). The other descriptive variables were not statistically different between sexes. All volunteers were healthy, none of them were using medication, and there were two postmenopausal women who had hormone replacement for more than 5 years.

Men’s SBP AUCs were lower in all periods in RE compared with CON. On the other hand, there were no differences for any period when comparing AE with CON, with only a tendency (p = 0.08) of low SBP in AE during the laboratory period (Figure 2a and 2b). Men’s DBP AUCs were lower in RE than CON during all periods, and lower in RE than AE during laboratory period. Additionally, DBP AUCs were lower in AE than CON in office and general periods (Figures 3a and 3b).

Women’s SBP AUC was lower during laboratory period after AE compared with both RE and CON. During the general period, SBP AUC was higher after RE compared with AE but not with CON (Figures 2c and 2d). There were no significant differences between all periods and sessions for DBP AUCs in women (Figures 3c and 3d).

Time-related responses in delta SBP are present in the left side (panels A and C) and the correspondent AUC of SBP are present in the right side (panels B and D); The upper panels depict men and bottom panels depict women results; Right graph: Left Y axis: 1 hour on the laboratory; Right Y axis: 8 hours on the work place and general; AE- Aerobic session; AUC- Area Under the curve; CON- Control session; RE- Resistance session; SBP- Systolic blood pressure; *Difference with CON; $ Difference with AE. # Difference with RE.

Figure 2: Delta and AUC of SBP of men and women 

Time-related responses of delta DBP are present in the left side (panels A and C) and the correspondent AUC of DBP are present in the right side (panels B and D); The upper panels depict men and the bottom panels depict women results; On the right graph- Left Y axis represents 1 hour on the laboratory; Right Y axis represents 8 hours on the work place and general; AE- Aerobic session; AUC- Area Under the curve; CON- Control session; RE- Resistance session; SBP- Systolic blood pressure; * Difference with CON; $ Difference with AE.

Figure 3: Delta and AUC of DBP of men and women 

Table 2 shows the sex differences on AUCs of SBP and DBP. There were no significant differences between sexes for all periods in AE and CON. However, on RE, men presented lower AUCs of SBP and DBP than women for all periods, except for SBP in the Laboratory.

Table 2: Sex difference on Area Under the Curve of BP 

n = 20 (9F and 11M) CON AE RE
Men Women Men Women Men Women
Laboratory AUC of ΔSBP (mmHg.60min) 12±75 78±47 -147±64 -108±65 -230±81 153±71
AUC of ΔDBP (mmHg.60min) 186±63 114±56 55±74 149±22 -248±79* 78±42
Office AUC of ΔSBP (mmHg.540min) 1725±861 1637±786 749±693 962±639 -1069±695* 2487±531
AUC of ΔDBP (mmHg.540min) 1268±688 778±345 -241±730 680±476 -612±325* 1226±635
General AUC of ΔSBP (mmHg.540min) 1718±908 1883±704 241±808 620±638 -1564±778* 2712±578
AUC of ΔDBP (mmHg.540min) 1651±724 1135±330 -175±777 892±426 -983±425* 1399±589

Notes: AE- Aerobic session; CON- Control session; RE-Resistance session;

*Difference with women.

Table 3 presents the HRV data measured prior to the exercise and in intervals of 15 min for the 60-min recovery in the laboratory. In CON, there were no time-related differences in any HRV index in men. On the other hand, both SDNN and pNN50 were greater at 60’ in comparison with pre-intervention in women. In men’s AE, RE and Women’s RE, all vagal indices (HF, SDNN, RMSSD, and pNN50) were reduced, and the LF was increased at all time-points during recovery in comparison with pre-exercise (except for: 45’ RMSSD and LF in Men RE; 15’ LF and HF in Men AE; 45’ and 60’ SDNN, and 60’ RMSSD in Women RE). In women’s AE there were no differences in any HRV index between recovery and pre-exercise.

Regarding the comparison between sessions, men presented lower values of time domain indices (SDNN, RMSSD and pNN50) at all moments (except for AE 45’ RMSSD) on RE and AE compared with CON. Women presented lower values of SDNN at 45’ and 60’, and lower values of RMSSD and pNN50 at 45’ on AE in comparison with CON. Besides, women present lower values of time domain indices on all moments of recovery on RE in comparison with CON.

Table 3: Heart rate variability measured at pre-exercise and during recovery in laboratory 

Pre 15’ 30’ 45’ 60’
MEN CON SDNN (ms) 68.7 ± 26.0 72.4 ± 33.6 66.6 ± 30.8 75.2 ± 39.0 78.0 ± 34.8
RMSSD (ms) 43.0 ± 26.6 37.2 ± 19.3 35.9 ± 17.4 37.4 ± 21.5 42.9 ± 24.1
pNN50 (%) 14.8 ± 11.8 13.8 ± 13.1 14.6 ± 13.5 14.1 ± 14.8 17.2 ± 15.0
LF (nu) 71.8 ± 12.8 72.7 ± 18.1 72.3 ± 12.5 81.1 ± 10.1 74.2 ± 15.1
HF (nu) 28.2 ± 12.8 27.3 ± 18.1 27.7 ± 12.5 18.9 ± 10.1 25.8 ± 15.1
AE SDNN (ms) 59.5 ± 26.7 32.7 ± 13.8* 42.6 ± 23.3 51.8 ± 26.6 54.3 ± 31.1
RMSSD (ms) 34.3 ± 13.1 13.0 ± 7.7* 19.9 ± 12.1* 23.7 ± 12.1 24.6 ± 13.8
pNN50 (%) 13.0 ± 9.9 1.2 ± 2.2* 3.6 ± 5.2* 6.5 ± 7.9* 6.3 ± 7.2*
LF (nu) 67.2 ± 15.4 83.0 ± 9.2* 80.5 ± 9.2* 80.3 ± 10.8 84.9 ± 8.3*
HF (nu) 32.8 ± 15.4 17.0 ± 9.2* 19.5 ± 9.2* 19.7 ± 10.8 15.1 ± 8.3*
RE SDNN (ms) 61.3 ± 23.1 24.3 ± 6.7* 28.4 ± 8.2* 40.5 ± 16.1* 41.2 ± 13.6*
RMSSD (ms) 32.5 ± 11.5 10.6 ± 6.5* 11.5 ± 5.6* 18.9 ± 9.4* 18.4 ± 7.8*
pNN50 (%) 11.2 ± 9.2 1.4 ± 2.7* 1.2 ± 1.8* 2.1 ± 2.2* 2.8 ± 3.1*
LF (nu) 67.9 ± 14.3 77.9 ± 15.7 86.0 ± 7.6* 87.5 ± 7.2* 84.5 ± 9.3*
HF (nu) 32.1 ± 14.3 22.1 ± 15.7 14.0 ± 7.6* 12.5 ± 7.2* 15.5 ± 9.3*
WOMEN CON SDNN (ms) 57.9 ± 18.0 56.6 ± 25.6 64.1 ± 23.0 69.7 ± 20.9 74.6 ± 21.1*
RMSSD (ms) 33.3 ± 12.8 30.3 ± 13.7 38.1 ± 18.4 41.7 ± 16.9 42.8 ± 16.9
pNN50 (%) 12.0 ± 9.4 12.1 ± 10.0 16.7 ± 12.6 19.0 ± 17.2 23.3 ± 16.1*
LF (nu) 68.5 ± 13.2 69.8 ± 16.0 71.5 ± 12.7 68.7 ± 21.4 65.4 ± 19.6
HF (nu) 31.5 ± 13.2 30.2 ± 16.0 28.5 ± 12.7 31.3 ± 21.4 34.6 ± 19.6
AE SDNN (ms) 55.1 ± 21.2 46.6 ± 23.8 47.6 ± 27.1 48.9 ± 22.3 54.6 ± 20.4
RMSSD (ms) 26.0 ± 14.6 26.2 ± 22.0 29.4 ± 15.9 25.8 ± 15.5 34.1 ± 18.8
pNN50 (%) 8.6 ± 12.6 3.5 ± 3.6 7.9 ± 7.4 7.2 ± 10.0 15.4 ± 18.1
LF (nu) 73.3 ± 10.6 73.7 ± 15.2 74.3 ± 11.2 73.1 ± 21.0 66.9 ± 27.9
HF (nu) 26.7 ± 10.6 26.3 ± 15.2 25.7 ± 11.2 26.9 ± 21.0 33.1 ± 27.9
RE SDNN (ms) 56.3 ± 22.8 27.7 ± 11.8* 32.4 ± 10.3* 41.8 ± 10.6 44.1 ± 15.9
RMSSD (ms) 35.1 ± 14.3 10.8 ± 7.2* 13.7 ± 7.1* 19.0 ± 7.7* 22.2 ± 10.5
pNN50 (%) 16.7 ± 11.7 0.9 ± 2.3* 1.3 ± 2.0* 2.5 ± 2.8* 5.2 ± 6.2*
LF (nu) 54.5 ± 16.7 77.8 ± 11.5* 77.8 ± 12.9* 72.2 ± 17.3* 72.9 ± 11.8*
HF (nu) 45.5 ± 16.7 22.2 ± 11.5* 22.2 ± 12.9* 27.8 ± 17.3* 27.1 ± 11.8*

Notes: AE- Aerobic session; CON- Control session; HF and LF: high- and low-frequency components of heart rate variability calculated from spectral analysis (i.e. normalized units); pNN50 - percentage of pairs of adjacent RRi differing by more than 50 milliseconds; RE- Resistance session; RMSSD - the square root of the mean of the sum of the squares of differences between adjacent RR intervals; SDNN- standard deviation of RR intervals;

*Difference with Pre-exercise moment;

Difference with control session.


This study investigated the influences of sex and type of exercise (i.e. moderate-intensity AE vs. circuit-based RE) on BP and HRV responses immediately after exercise and during working hours in healthy men and women. When comparing BP responses between sessions and sexes, we found that: (1) for RE, men presented PEH of both SBP and DBP, and this effect persisted for nine hours during work journey; while women did not present PEH at any time; (2) for AE, men presented PEH of DBP, and this effect was observed only at office time; while women presented PEH of SBP only at laboratory time. These results indicate important differences in BP responses after AE and RE in men and women, with RE promoting greater benefits in men than in women, and AE presenting equivocal results. When comparing HRV responses between sessions and sexes, we found greater HRV reduction after RE, for both men and women. This result indicates RE results in a greater autonomic stress than AE.

The differences between AE and RE on post-exercise BP responses have motivated the interest from previous studies 23,30. A recent Meta-Analysis including 65 studies with a broad range of subjects’ characteristics and exercise protocols have reported greater PEH after AE than RE 31. This result was substantiated by Teixeira, Ritti-Dias, Tinucci, Mion Júnior, Forjaz23, who observed greater and longer (i.e. up to 120 min) BP reductions after AE than RE in healthy subjects. However, these results are not unanimous 30,32 and in a study very similar to ours, Mota, et al30 observed similar PEH after a circuit-based RE and AE, either immediately after exercise or during work hours. In the present study, PEH has also occurred after AE and RE, but, at least in men, the greater responses (i.e. longer and greater PEH) were promoted by the RE. Differences in exercise protocols and participants’ characteristics might help to explain the divergences between previous and our findings. In this sense, in Teixeira, Ritti-Dias, Tinucci, Mion Júnior, Forjaz study 23, RE was slightly more intense (i.e. 50% 1RM) than in the present study. Although controversial, it has been shown that higher intensities produce lower PEH for RE (i.e. lower PEH) 33, which could help to explain the reduced PEH after RE in Teixeira, Ritti-Dias, Tinucci, Mion Júnior, Forjaz study 23. Furthermore, Mota, et al30 have studied hypertensive subjects while the present study was conducted with healthy normotensive subjects, and evidence has shown greater PEH after AE in the former group 34, which could help to explain the greater PEH after AE in Mota et al.’s study 30.

Another important confounding factor in most of the studies investigating BP responses after exercise is the sex. Indeed, PEH has been performed with men 34 and the results of the present study indicate that this could be an important limitation since men and women presented different BP responses after AE and RE. Accordingly, while men presented PEH for 9 hours after RE, women did not present PEH after this type of exercise. On the other hand, after AE men presented a minor PEH that was expressed only at office time, and women presented PEH restricted to the laboratory time. These results suggest that men seem to beneficiate more from a circuit-based RE than women, while AE seems to present unclear results. One possible explanation for the greater post-RE PEH in men may reside on their slightly higher initial BP levels which has shown to be associated with greater PEH magnitude 31. Sex-based differences in autonomic control of blood pressure may also underlie some of the differences observed31, however, the tools of the present study do not allow further speculation. The influence of sex on post-RE and post-AE BP responses has been investigated by several studies 7,8,13-16,31. A recent Meta-Analysis 31 has demonstrated a greater magnitude of PEH in men than women after a broad range of exercises. Specifically for RE, Queiroz, Rezk, Teixeira, Tinucci, Mion, Forjaz13 did not observe differences between young men and women on BP responses after moderate-intensity RE. Similar results were found by Somani et al.14 using isometric exercise, and by Ramírez et al 15 using plyometric exercises. Apart from the reported differences in RE protocols, differences in participants’ characteristics might help to explain the differences between previous and our findings.

In this sense, all of the aforementioned studies have studied young subjects (≈22-25 years), while the present study has engaged middle-aged men and women (mean age = 38.2 years). Although controversial, it has been reported lower PEH in older compared with younger subjects 7,31, which could help to explain such divergences. For post-AE BP responses, Deschenes, Hillard, Wilson, Dubina, Eason8 and Senitko, Charkoudian, Halliwill16 did not observe differences between men and women after moderate-intensity AE. A similar result was found by Cote, Bredin, Phillips, Koehle, Warburton35 after high-intensity interval exercise. The timeframe of the BP measurements might help to explain the differences between these and our findings. Moreover, in all of the aforementioned studies the BP was only measured in the laboratory (max 60 min post-exercise), and since sex-related differences on post-AE BP might also be present during ambulatory measurements, as demonstrated in the present study (i.e. workplace), care should be taken when interpreting previous studies.

The present study also investigated the autonomic stress imposed by AE and RE in men and women. To address such a question, we have assessed the HRV, a non-invasive measure of cardiac autonomic modulation 29, for 60 min after exercise. In this sense, after RE, both in men and women, all vagal indices of HRV (e.g. SNN, RMSSD, pNN50, and HF) were reduced, and the sympathetic index of HRV (i.e. LF) was increased for 60 min. On the other hand, after AE, only in men the HRV was significantly changed in comparison with rest and CON. This greater autonomic stress imposed by RE than AE exercise was already reported by Heffernan, Kelly, Collier, Fernhall36 and Niemela, Kiviniemi, Hautala, Salmi, Linnamo, Tulppo24, and suggests an increase in cardiovascular risks after RE 37. Although the potential mechanisms behind these results are beyond of the possibilities of the present study, alterations in metaboreflex and baroreflex control of HR 38, and changes in plasma volume 39 might help to explain the increased autonomic stress imposed by RE. Next studies should assess such mechanisms.

Some limitations of this study are worth mentioning. Firstly, two women participating in the present study were already post-menopausal. Since menopause seems to influence PEH responses 40, this factor could have affected the results. However, an alternative analysis excluding these women did not affect the general conclusions and, for this reason, we decided to maintain them in the final analysis. Secondly, the menstrual cycle of non-menopausal women was controlled by self-report and experimental sessions were conducted in a similar phase of their cycle, avoiding the early-follicular phase 41. Third, the present study engaged only normotensive, non-sedentary healthy subjects, which limits the clinical applicability of our results. Although PEH is a clinically desirable response for hypertensive subjects, previous evidence suggests that blood pressure reduction in response to exercise is also important for the prevention of cardiovascular diseases and cardiovascular events in normotensive patients 42. The physical activity level may also have influenced the sex-differences in PEH and next studies should verify these responses along the full physical activity spectrum (i.e., sedentary to athletes). Finally, due to methodological restraints, we were unable to perform HRV recordings during daily work, which did not allow us to verify the autonomic impact of AE and RE on work routine.

Future studies should investigate the sex-related differences in post-AE and post-RE BP and HRV in hypertensive or in cardiovascular disease populations for immediate and prolonged post-exercise hours. Therefore, the present results strengthen the clinical importance of RE on BP control, particularly for men, since a reduced BP during work hours might prevent negative outcomes. However, it should be taken into account that RE causes greater autonomic stress, so it should be used with care in populations with autonomic imbalance, whether hypertensive or normotensive.


A circuit-based RE protocol is effective in reducing both SBP and DBP at the immediate post-exercise laboratory phase and during nine hours of daily work activities in healthy men but not in women. On the other hand, moderate-intensity AE slightly reduces DBP during work journey in men and decreases SBP only for the first-hour post-exercise in women. In both sexes, RE promoted a greater autonomic impact than AE as observed by the greater HRV reduction after the former.


This work was supported by the Brazilian government resources through the National Council for Scientific and Technological Development (CNPQ) under Grant MCTI/CNPQ UNIVERSAL 14/2014 under grant number 456443/2014-2; and the Minas Gerais State Foundation for Support of Research (FAPEMIG) under Grant number APQ-00750-14. None of the authors declare competing for financial interests.


1. Boutcher YN, Boutcher SH. Exercise intensity and hypertension: What's new? J Hum Hypertens. 2017;31(3):157-164. doi:10.1038/jhh.2016.62 [ Links ]

2. Smith ML, Hudson DL, Graitzer HM, Raven PB. Exercise training bradycardia: The role of autonomic balance. Med Sci Sports Exerc. 1989;21(1):40-44. doi:10.1249/00005768-198902000-00008 [ Links ]

3. Hambrecht R, Gielen S, Linke A, Fiehn E, Yu J, Walther C, et al. Effects of exercise training on left ventricular function and peripheral resistance in patients with chronic heart failure: A randomized trial. JAMA. 2000;283(23):3095-3101. [ Links ]

4. Ghisi GL de M, Durieux A, Pinho R, Benetti M. Physical exercise and endothelial dysfunction. Arq Bras Cardiol. 2010;95(5):e130-7. [ Links ]

5. Carvalho RST de, Pires CMR, Junqueira GC, Freitas D, Marchi-Alves LM. Hypotensive Response Magnitude and Duration in Hypertensives: Continuous and Interval Exercise. Arq Bras Cardiol. 2014;104(3):234-241. doi:10.5935/abc.20140193 [ Links ]

6. Puga GM, de P Novais I, Katsanos CS, Zanesco A. Combined effects of aerobic exercise and l-arginine ingestion on blood pressure in normotensive postmenopausal women: A crossover study. Life Sci. 2016;151:323-329. doi:10.1016/j.lfs.2016.02.091 [ Links ]

7. Forjaz CLM, Tinucci T, Ortega KC, Santaella DF, Mion D, Negrão CE. Factors affecting post-exercise hypotension in normotensive and hypertensive humans. Blood Press Monit. 2000;5(5-6):255-262. doi:10.1097/00126097-200010000-00002 [ Links ]

8. Deschenes MR, Hillard MN, Wilson JA, Dubina MI, Eason MK. Effects of gender on physiological responses during submaximal exercise and recovery. Med Sci Sports Exerc. 2006;38(7):1304-1310. doi:10.1249/01.mss.0000227316.93351.56 [ Links ]

9. Cavalcante PAM, Rica RL, Evangelista AL, Serra AJ, Figueira A, Pontes FL, et al. Effects of exercise intensity on postexercise hypotension after resistance training session in overweight hypertensive patients. Clin Interv Aging. 2015;10:1487-1495. doi:10.2147/CIA.S79625 [ Links ]

10. Gerage AM, Ritti-Dias RM, do Nascimento MA, Pina FLC, Gonçalves CGS, Sardinha LB, et al. Chronic resistance training does not affect post-exercise blood pressure in normotensive older women: a randomized controlled trial. Age (Omaha). 2015;37(3):63. doi:10.1007/s11357-015-9801-1 [ Links ]

11. Brito A de F, de Oliveira CVC, Santos M do SB, Santos A da C. High-intensity exercise promotes postexercise hypotension greater than moderate intensity in elderly hypertensive individuals. Clin Physiol Funct Imaging. 2014;34(2):126-132. doi:10.1111/cpf.12074 [ Links ]

12. Rossow LM, Fahs CA, Sherk VD, Seo D, Bemben DA, Bemben MG. The effect of acute blood-flow-restricted resistance exercise on postexercise blood pressure. Clin Physiol Funct Imaging. 2011;31(6):429-434. doi:10.1111/j.1475-097X.2011.01038.x [ Links ]

13. Queiroz ACC, Rezk CC, Teixeira L, Tinucci T, Mion D, Forjaz CLM. Gender influence on post-resistance exercise hypotension and hemodynamics. Int J Sports Med. 2013;34(11):939-944. doi:10.1055/s-0033-1337948 [ Links ]

14. Somani Y, Baross A, Levy P, Zinszer K, Milne K, Swaine I, et al. Reductions in ambulatory blood pressure in young normotensive men and women after isometric resistance training and its relationship with cardiovascular reactivity. Blood Press Monit. 2017;22(1):1-7. doi:10.1097/MBP.0000000000000222 [ Links ]

15. Ramírez-Campillo R, Abad-Colil F, Vera M, Andrade DC, Caniuqueo A, Martínez-Salazar C, et al. Men and Women Exhibit Similar Acute Hypotensive Responses After Low, Moderate, or High-Intensity Plyometric Training. J Strength Cond Res. 2016;30(1):93-101. doi:10.1519/JSC.0000000000001068 [ Links ]

16. Senitko AN, Charkoudian N, Halliwill JR. Influence of endurance exercise training status and gender on postexercise hypotension. J Appl Physiol. 2002;92(6):2368-2374. doi:10.1152/japplphysiol.00020.2002 [ Links ]

17. Liu S, Thomas SG, Sasson Z, Banks L, Busato M, Goodman JM. Blood pressure reduction following prolonged exercise in young and middle-aged endurance athletes. Eur J Prev Cardiol. 2013;20(6):956-962. doi:10.1177/2047487312454759 [ Links ]

18. Keese F, Farinatti P, Pescatello L, Cunha F, Monteiro W. Aerobic Exercise Intensity Influences Hypotension Following Concurrent Exercise Sessions. Int J Sports Med. 2012;33(02):148-153. doi:10.1055/s-0031-1291321 [ Links ]

19. Pescatello LS, Guidry MA, Blanchard BE, Kerr A, Taylor AL, Johnson AN, et al. Exercise intensity alters postexercise hypotension. J Hypertens. 2004;22(10):1881-1888. doi:10.1097/00004872-200410000-00009 [ Links ]

20. Gomes Anunciação P, Doederlein Polito M. A review on post-exercise hypotension in hypertensive individuals. Arq Bras Cardiol. 2011;96(5):e100-109. doi:10.1590/S0066-782X2011005000025 [ Links ]

21. Korsager Larsen M, Matchkov V V. Hypertension and physical exercise: The role of oxidative stress. Med. 2016;52(1):19-27. doi:10.1016/j.medici.2016.01.005 [ Links ]

22. Hecksteden A, Grütters T, Meyer T. Association between postexercise hypotension and long-term training-induced blood pressure reduction: A pilot study. Clin J Sport Med. 2013;23(1):58-63. doi:10.1097/JSM.0b013e31825b6974 [ Links ]

23. Teixeira L, Ritti-Dias RM, Tinucci T, Mion D, De Moraes Forjaz CL. Post-concurrent exercise hemodynamics and cardiac autonomic modulation. Eur J Appl Physiol. 2011;111(9):2069-2078. doi:10.1007/s00421-010-1811-1 [ Links ]

24. Niemelä TH, Kiviniemi AM, Hautala AJ, Salmi JA, Linnamo V, Tulppo MP. Recovery pattern of baroreflex sensitivity after exercise. Med Sci Sports Exerc. 2008;40(5):864-870. doi:10.1249/MSS.0b013e3181666f08 [ Links ]

25. David C N. Exercise Testing and Prescription: A Health Related Approach. 5th ed. Virgínia: McGraw-Hill; 2002. [ Links ]

26. Karvonen MJ, Kentala E, Mustala O. The effects of training on heart rate; a longitudinal study. Ann Med Exp Biol Fenn. 1957;35(3):307-315. [ Links ]

27. Cuckson AC, Reinders A, Shabeeh H, Shennan AH, British Hypertension Society. Validation of the Microlife BP 3BTO-A oscillometric blood pressure monitoring device according to a modified British Hypertension Society protocol. Blood Press Monit. 2002;7(6):319-324. doi:10.1097/01.mbp.0000047142.34024.dd [ Links ]

28. Tarvainen MP, Niskanen JP, Lipponen JA, Ranta-aho PO, Karjalainen PA. Kubios HRV - Heart rate variability analysis software. Comput Methods Programs Biomed. 2014;113(1):210-220. doi:10.1016/j.cmpb.2013.07.024 [ Links ]

29. Electrophysiology TF of the ES of C, Pacing the NAS of. Heart Rate Variability Standards of Measurement, Physiological Interpretation, and Clinical Use. Circulation. 1996;93(5):1043-1065. [ Links ]

30. Mota MR, Pardono E, Lima LCJ, Arsa G, Bottaro M, Campbell CSG, et al. Effects of Treadmill Running and Resistance Exercises on Lowering Blood Pressure During the Daily Work of Hypertensive Subjects. J Strength Cond Res. 2009;23(8):2331-2338. doi:10.1519/JSC.0b013e3181bac418 [ Links ]

31. Carpio-Rivera E, Moncada-Jiménez J, Salazar-Rojas W, Solera-Herrera A. Acute Effects of Exercise on Blood Pressure: A Meta-Analytic Investigation. Arq Bras Cardiol. 2016. doi:10.5935/abc.20160064 [ Links ]

32. Keese F, Farinatti P, Pescatello L, Monteiro W. Acomparison of the immediate effects of resistance, aerobic, and concurrent exercise on postexercise hypotension. J Strength Cond Res. 2011;25(5):1429-1436. doi:10.1519/JSC.0b013e3181d6d968 [ Links ]

33. Rezk CC, Marrache RCB, Tinucci T, Mion D, Forjaz CLM. Post-resistance exercise hypotension, hemodynamics, and heart rate variability: Influence of exercise intensity. Eur J Appl Physiol. 2006;98(1):105-112. doi:10.1007/s00421-006-0257-y [ Links ]

34. Casonatto J, Goessler KF, Cornelissen VA, Cardoso JR, Polito MD. The blood pressure-lowering effect of a single bout of resistance exercise: A systematic review and meta-analysis of randomised controlled trials. Eur J Prev Cardiol. 2016;23(16):1700-1714. doi:10.1177/2047487316664147 [ Links ]

35. Cote AT, Bredin SSD, Phillips AA, Koehle MS, Warburton DER. Greater autonomic modulation during post-exercise hypotension following high-intensity interval exercise in endurance-trained men and women. Eur J Appl Physiol. 2015;115(1):81-89. doi:10.1007/s00421-014-2996-5 [ Links ]

36. Asplund NR, Ordway AM. School Counseling Toward an LGBTQ-Inclusive School Climate: Implementing the SCEARE Model. J LGBT Issues Couns. 2018;12(1):17-31. doi:10.1080/15538605.2018.1421115 [ Links ]

37. Pradhapan P, Tarvainen MP, Nieminen T, Lehtinen R, Nikus K, Lehtimäki T, et al. Effect of heart rate correction on pre-and post-exercise heart rate variability to predict risk of mortality-an experimental study on the FINCAVAS cohort. Front Physiol. 2014;5 JUN. doi:10.3389/fphys.2014.00208 [ Links ]

38. Kim J-K. Arterial baroreflex alters strength and mechanisms of muscle metaboreflex during dynamic exercise. AJP Hear Circ Physiol. 2004;288(3):H1374-H1380. doi:10.1152/ajpheart.01040.2004 [ Links ]

39. Ahmadizad S, El-Sayed MS. The acute effects of resistance exercise on the main determinants of blood rheology. J Sports Sci. 2005;23(3):243-249. doi:10.1080/02640410410001730151 [ Links ]

40. Harvey PJ, Morris BL, Kubo T, Picton PE, Su WS, Notarius CF, et al. Hemodynamic after-effects of acute dynamic exercise in sedentary normotensive postmenopausal women. J Hypertens. 2005;23(2):285-292. [ Links ]

41. Esformes JI, Norman F, Sigley J, Birch KM. The influence of menstrual cycle phase upon postexercise hypotension. Med Sci Sports Exerc. 2006;38(3):484-491. doi:10.1249/01.mss.0000193559.98095.ea [ Links ]

Received: March 01, 2018; Accepted: October 25, 2018

Corresponding author: Prof. Guilherme Morais Puga. Faculdade de Educação Física. Universidade Federal de Uberlândia. Rua Benjamin Constant, 1286. Bairro: Aparecida. Uberlândia, MG, Brasil. ZIP code: 38400-678.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License