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. 2014 Dec 12;10:691–698. doi: 10.2147/VHRM.S73688

Effects of exercise timing on sleep architecture and nocturnal blood pressure in prehypertensives

Kimberly Fairbrother 1, Ben Cartner 1, Jessica R Alley 1, Chelsea D Curry 1, David L Dickinson 2, David M Morris 1, Scott R Collier 1,
PMCID: PMC4270305  PMID: 25540588

Abstract

Background

During nocturnal sleep, blood pressure (BP) “dips” compared to diurnal BP, reducing stress on the cardiovascular system. Both the hypotensive response elicited by acute aerobic exercise and sleep quality can impact this dipping response.

Purpose

The purpose of this study was to investigate the effects of aerobic exercise timing on circadian BP changes and sleep architecture.

Materials and methods

Twenty prehypertensive subjects completed the study. During four test sessions, participants first completed a graded exercise test to exhaustion and then performed 30 minutes of treadmill exercise at 7 am (7A), 1 pm (1P), and 7 pm (7P) in a random, counterbalanced order at 65% of the heart rate obtained at peak oxygen uptake. An ambulatory cuff was used to monitor BP responses during 24 hours following exercise, and an ambulatory sleep-monitoring headband was worn during sleep following each session.

Results

Aerobic exercise at 7A invoked a greater dip in nocturnal systolic BP than exercise at 1P or 7P, although the greatest dip in nocturnal diastolic BP occurred following 7P. Compared to 1P, 7A also invoked greater time spent in deep sleep.

Conclusion

These data indicate that early morning may be the most beneficial time to engage in aerobic exercise to enhance nocturnal BP changes and quality of sleep.

Keywords: nocturnal dipping, prehypertension, aerobic exercise

Introduction

Hypertension is a significant modifiable risk factor associated with stroke, coronary artery disease, end-stage renal disease, and congestive heart failure.1,2 The risk of cardiovascular disease (CVD) increases as blood pressure (BP) rises above 115/75 mmHg, and this risk doubles with each 20/10 mmHg increase.3 Normal circadian variation in resting BP is characterized by a nocturnal decrease of 10%–20% of daytime levels in the majority of normotensive and hypertensive individuals.4,5 This lowering of BP during the night has been suggested to be a restorative physiological process.6 Individuals whose nocturnal BP does not decrease by more than 10% are referred to as “nondippers”.5 Nondipping has been documented in patients with sleep apnea, advanced kidney disease, nocturia, and increased sympathetic activation.7 Nondipping is a significant risk factor for left ventricular hypertrophy and CVD regardless of 24-hour BP normality (<135/80 mmHg).8,9 Furthermore, a significant association exists between poor sleep quality and nondipping status in prehypertensive patients;4 in one study,4 those with newly diagnosed hypertension and also classified as poor sleepers exhibited almost a 3-fold increase in risk of being a nondipper.

Inadequate sleep, specifically less than 6–7 quality hours per night, has been correlated with clinical manifestations, such as hypertension,10,11 stroke,12 obesity,11 and ultimately an increased risk of mortality. Sleep deprivation has a direct impact on hypertension and increased sympathetic nervous activity,13 independently of its influence on body weight. Even after adjusting for sex and obesity, poor sleep efficiency was associated with a 4 mmHg increase in systolic BP (SBP).10 Poor sleep has also been associated with a 2.5-fold increase in odds for developing prehypertension (SBP 120–139 and diastolic BP [DBP] 80–89 mmHg).14 Therefore, poor sleep quality may be a modifiable risk factor for hypertension and CVD.

It has been shown that daytime exercise exerts a positive effect on nighttime sleep quality.15 The National Sleep Foundation recommends exercise as a nonpharmacological intervention for improving sleep quality. Sleep researchers have predicted that duration and quality of sleep are higher in physically fit individuals, especially on nights following exercise perturbations.16 In a meta-analysis by Kubitz et al,16 it was reported that exercise increased total sleep time as well as time in deep sleep and decreased sleep-onset latency (SOL). Previous studies have documented that aerobic exercise, specifically, is associated with decreases in light-sleep stages as well, as with increases in the deeper, most restorative stages of sleep.17

Aerobic exercise is currently recommended as a modality for decreasing cardiovascular risk by decreasing resting BP. An acute, moderate-intensity aerobic exercise bout elicits a decrease in BP known as postexercise hypotension (PEH), which resets the baroreflex to lower operating pressures.18 These lower BPs are observed for up to 24 hours postexercise in hypertensive individuals,3 lending clinical effectiveness to aerobic exercise. The duration and magnitude of the PEH response may depend on the time of day of exercise due to the circadian variation of BP,19 although there is limited research examining this phenomenon. Park et al2 investigated BP responses following acute bouts of exercise in both the morning and afternoon hours. Exercise in the afternoon elicited a greater PEH response in medicated hypertensive nondippers. Clinically, exercise is a nonpharmacological treatment for lowering BP and reducing the risk of CVD; however, the timing of exercise may contribute to more effective results following the exercise bout.

No previous studies have compared the effects of exercise timing on sleep architecture concomitantly with nocturnal BP variations. Therefore, the purpose of our investigation was to examine how aerobic exercise timing affects the quality of sleep and diurnal BP variations in young, prehypertensive individuals. We hypothesized that exercise at 7 pm (7P) would elicit more favorable changes in sleep architecture and nocturnal BP responses than exercise at 7 am (7A) or 1 pm (1P), due to greater time spent in PEH.

Materials and methods

Subjects

An a priori power calculation with an α-level of 0.05 with 20 subjects in the model yielded a power of 0.91 to detect a medium-size effect (G*Power, version 3.1.3; Uni Kiel, Germany). Therefore, 20 prehypertensive men and women (SBP range of 120–139, DBP 80–89 mmHg) between the ages of 30 years and 60 years were recruited from the local community. Subjects had no self-reported sleep disorders, were nonsmokers, and were not using any medications, including aspirin therapy or sleep aids, as identified in health and activity-history questionnaires. Subjects were classified as sedentary to recreationally active, with no more than one risk factor according to the American College of Sports Medicine’s risk stratification. Investigators reviewed the screening questionnaires to ensure subjects met these required guidelines. The investigation was approved by the Institutional Review Board of Appalachian State University.

Experimental design

Subjects reported to the laboratory on four separate occasions. On the first visit, each subject completed a written informed consent as well as the American College of Sports Medicine physical activity/health-history questionnaire. Age, height, weight, and BP were recorded, followed by an assessment of maximal aerobic capacity. Each subject performed a graded treadmill-exercise test to volitional exhaustion, while expired air was collected and analyzed to determine peak oxygen uptake (VO2 peak). In an attempt to decrease the effects of experimental stress on ambulatory BP values, subjects were familiarized with all of the data-collection equipment utilized during the study prior to the second visit and were instructed to take the sleep-monitoring device home and wear it prior to the first night of data collection.

During visits two, three, and four, participants completed the aerobic exercise protocol at 7A, 1P, and 7P in a randomized order that was determined using a random-number generator. An average washout period of 72 hours was allotted between subsequent exercise sessions, which all took place during a weekday (Monday, Thursday, Monday). Subjects were asked to refrain from alcohol and caffeine 12 hours prior to each exercise session and for the 24 hours following each session during which data collection occurred. Following each exercise session, each participant wore an ambulatory BP device (Oscar 2; SunTech Medical, Morrisville, NC, USA) for the next 24-hour period, as well as an ambulatory sleep-monitoring system (Personal Sleep Manager; Zeo, Newton, MA, USA) on the nights following exercise. Subjects were instructed to maintain their typical schedules, including same time to bed and time to wake, following each exercise bout in order to control for total sleep time.

VO2 peak

VO2 peak was assessed using a customized treadmill protocol (modified Balke protocol). Briefly, initial intensity started at 2.5 mph (4.02 km/h) and increased by 1 mph every 2 minutes until a comfortable pace was established, at which point the test subject exercised as the grade of the treadmill was increased 2.5% at 2-minute intervals until volitional fatigue was reached. Heart rate was recorded once per minute from the start of the protocol and a minimum of 4 minutes into recovery using a heart-rate monitor (Polar Electro, Woodbury, NY, USA). Ratings of perceived exertion were also assessed within the last 15 seconds of each stage. Expired gases were analyzed using a True One 2400 metabolic system (Parvo Medics, Sandy, UT, USA). Exercise capacity was assessed by exercise time and total workload expressed in metabolic equivalent of task. Maximal effort was considered reached when the subjects met three of the four following criteria: no change in heart rate with a change in workload, a final rating of perceived exertion of 17, a respiratory exchange ratio >1.14, or volitional exhaustion. A 12-lead electrocardiogram was used to monitor the test for men and women greater than 45 years and 50 years of age, respectively.

Exercise protocol

Values attained from the preliminary exercise testing session were used to design the aerobic exercise prescription. All individuals performed a 30-minute aerobic exercise bout on a motorized treadmill at an intensity corresponding to 65% of their heart rate attained at VO2 peak. Heart rate was monitored throughout every 30-minute session using the Polar heart-rate monitor to ensure subjects remained at their prescribed intensity.

Ambulatory BP measurement

Upon completion of each exercise session, subjects were outfitted with the Oscar 2 ambulatory BP device. The device was programmed to take oscillatory BP measurements every 20 minutes throughout the 24-hour postexercise period and every 40 minutes during sleep. Data were stored within the device and uploaded onto the laboratory computer.

Ambulatory sleep-stage measurement

On nights following the completed exercise sessions, subjects wore an ambulatory sleep-monitoring headband. The system consisted of a soft headband and a bedside display. The two-piece system utilizes dry-sensor electroencephalography technology to transmit brainwave data wirelessly to the bedside display, where it can be stored for later analysis. The Zeo system has been validated against in-laboratory polysomnography for deep, rapid eye movement (REM), and total sleep time, and has been shown to be an accurate and comfortable technique to measure sleep stages.20 This system allows for subjects to maintain their typical sleeping habits in their own home environment, while permitting accurate sleep-stage measurements.

Treatment of data

A 1×3 repeated-measures analysis of variance with a Bonferroni post hoc test was employed to determine the differences between exercise time and each outcome variable. All data were analyzed by SPSS version 17 (SPSS, Chicago, IL, USA). All data are shown as means ± standard error of the mean.

Results

Subject characteristics are shown in Table 1. The subjects were classified as prehypertensive (BP >120/80 mmHg) with a mean body mass index indicative of overweight (>25). Each subject performed all of the exercise bouts at the predetermined time of day. In the nights following each exercise bout, there were no significant differences in total sleep time and wake times for a given subject. This allowed for the comparison of absolute differences in the various components of sleep architecture among the separate exercise-timing bouts.

Table 1.

Subject characteristics

Age (years) Height (cm) Weight (kg) BMI (kg/m2) VO2 peak (mL/kg/min) BP (mmHg)
41.9±3.2 171.5±2.3 75±4.5 25±2.2 38±3.2 133/80±3.1/1.9

Note: Data are means ± standard error of mean.

Abbreviations: BMI, body mass index; VO2, oxygen uptake; BP, blood pressure.

Mean nighttime SBP was significantly improved by the time of exercise (P=0.05) (Figure 1A). Mean nighttime SBP was significantly reduced following the 7A time point (107±4.8 mmHg) relative to 1P (114.8±5.2 mmHg, P=0.043). Mean nighttime DBP was also significantly improved by the time of exercise (P=0.038) (Figure 1B), and was significantly lower following the 7A time point (60.8±0.89 mmHg) compared to 1P (65.6±0.99 mmHg, P=0.025). Mean nighttime DBP also improved between the 7P (61.8±0.98 mmHg) and the 1P (65.6±0.84 mmHg, P=0.054) conditions.

Figure 1.

Figure 1

Nocturnal Blood Pressures.

Notes: (A) Mean nighttime systolic BP (SBP) and (B) diastolic BP (DBP) compared to each time-of-day exercise bout. Data are means ± standard error of mean. *7A significantly different from 1P (P≤0.05).

Abbreviations: BP, blood pressure; 7A, 7 am exercise condition; 1P, 1 pm exercise condition; 7P, 7 pm exercise condition.

The percentage of nocturnal BP dipping was significantly altered by exercise for both systolic and diastolic dipping (P=0.034 and P=0.031, respectively) (Figure 2). The percentage drop in SBP was significantly larger after the 7A time point (16.67%±0.93%) compared to 1P (12.3%±1.2%; P=0.009). The dip in DBP was also more profound following 7A (20.9%±1.15%) compared to 1P (15.4%±1.6%; P=0.03) exercise, although the DBP dip was greatest and significantly different following 7P (21.1%±1.9%) compared to 1P (P=0.03) exercise.

Figure 2.

Figure 2

Systolic and diastolic blood pressure (BP) dipping compared to each time-of-day exercise bout. Data are means ± standard error of mean.

Notes: *7A significantly different from 1P (P≤0.05). #7P significantly different than 1P (P<0.05).

Abbreviations: 7A, 7 am exercise condition; 1P, 1 pm exercise condition; 7P, 7 pm exercise condition.

Time spent in deep sleep was significantly altered by the timing of exercise (P=0.008) (Figure 3). More time was spent in deep sleep following 7A (63.3±6.1 minutes) versus 1P exercise (43±3.19 minutes, P=0.008). Time spent in REM sleep was also significantly altered by the time of exercise (P=0.038) (Figure 3). The bout of exercise at 7A presented significantly less time spent in REM sleep (98.2±12.9 minutes) than at 1P (117.4±12.4 minutes, P=0.05). Exercise timing had no significant effects on time spent in light sleep, although it followed a comparable trend (Table 2).

Figure 3.

Figure 3

Time spent in deep and rapid eye movement (REM) sleep compared to each time-of-day exercise bout. Data are means ± standard error of mean.

Notes: *7A significantly different from 1P (P≤0.05); **7A significantly different from 1P (P≤0.01).

Abbreviations: 7A, 7 am exercise condition; 1P, 1 pm exercise condition; 7P, 7 pm exercise condition.

Table 2.

Sleep variables compared to exercise conditions

Sleep variable 7A 1P 7P
Wake time (minutes) 16.4±3.0 29.2±6.9 21.0±4.5
Light sleep (minutes) 260.2±15.5 273.5±13.4 268.0±1.0
Awakenings (n) 3.3±0.6* 5.9±0.9 5.5±1.1
Awakenings (minutes) 15.8±5.0* 29.0±5.9 24.6±4.9

Notes:

*

Significantly different from 1P and 7P (P<0.05). P represents result of repeated-measures analysis of variance. Data are means ± standard error of mean.

Abbreviations: 7A, 7 am exercise condition; 1P, 1 pm exercise condition; 7P, 7 pm exercise condition.

Exercise timing also significantly altered SOL (P=0.001), with 7A resulting in decreased time to fall asleep (11.2±2.4 minutes) compared to 1P (32.8±4.2 minutes, P=0.001) or 7P (21.3±3 minutes, P=0.001) (Figure 4). Partaking in the 7P exercise bout also elicited less time to sleep onset than 1P (P=0.002). Awakenings after the onset of sleep were significantly altered with exercise timing (P=0.018) (Table 2). Following 7A exercise, there was a decreased number of awakenings (3.3±0.6) when compared to 1P (5.9±0.9, P=0.021) and 7P (5.5±1.1, P=0.016). In addition, time spent awake after the onset of sleep was significantly lower in 7A (15.8±5.0 minutes) compared to 1P or 7P (29.0±5.9 and 24.6±4.9 minutes, respectively; P=0.025) exercise, although time spent awake before the onset of sleep was not significantly different between exercise time points (Table 2).

Figure 4.

Figure 4

Sleep-onset latency compared to each time-of-day exercise bout. Data are means ± standard error of mean.

Notes: **7A significantly different from 1P and 7P (P≤0.01); #7P significantly different from 1P (P≤0.01).

Abbreviations: 7A, 7 am exercise condition; 1P, 1 pm exercise condition; 7P, 7 pm exercise condition.

Discussion

The present study investigated the effects of aerobic exercise timing on circadian BP variations and sleep architecture. Contrary to our hypothesis, the main finding was that a bout of moderate-intensity aerobic exercise at 7A resulted in the most beneficial responses in BP and improved overall sleep quality compared to 1P or 7P. Exercise completed at the 7A time point evoked a greater drop in nocturnal BP and elicited more time spent in deep sleep, less time spent in REM sleep, shorter SOL, and a decreased number of awakenings following the onset of sleep.

This study showed lower nighttime BP following 7A exercise that was not observed following exercise at 1P or 7P. Decreases in nighttime BP following 7A exercise may be attributed to a reduction in catecholamines, cortisol, and other stress hormones that are present at higher amounts during the waking hours.21,22 Many physiological factors influence BP change, and it is possible that PEH may explain the decreased nocturnal BP. Previous literature has shown moderate aerobic exercise conducted in the morning results in the highest reactivity of PEH, with a differential of 8–14 mmHg in mean arterial BP from diurnal to nocturnal pressure values.23 The effects of PEH and sleep patterns are not well understood, but limited research has concluded that exercise in the morning produces the largest fluctuation in BP, which may be due to PEH.24 Further, a greater magnitude of PEH has been documented following periods of nocturnal sleep and absent when exercise was completed after daytime sleep.23

Vascular shear stress may explain the nocturnal BP dipping following our acute-exercise bouts. A recent study25 that investigated the effects of morning aerobic exercise on vascular shear stress reported that brachial shear stress was significantly higher at 8 am following a 30-minute bout of cycling at 70% VO2 peak than after conducting the same exercise protocol at 2 pm. A similar increase in shear stress may contribute to the decreased nocturnal BP values we recorded following aerobic exercise conducted at 7A in our current study due to prolonged PEH. The decreased sheer stress rate at 2 pm may also validate why we recorded a decreased benefit of aerobic exercise conducted at 1P.

Previous literature demonstrates a difference in the PEH response between dippers and nondippers. Park et al2 investigated the circadian BP difference between dippers and non-dippers following aerobic exercise (30 minutes of intermittent training on a motorized treadmill at 50% VO2 peak) during morning (6–8 am) and evening (5–7 pm) exercise sessions. These researchers concluded that aerobic exercise in the evening exhibited a greater reduction in SBP for nondippers and morning exercise produced similar SBP responses for both dippers and nondippers.2 Contrary to our investigation, which solely included a dipping, prehypertensive population, Park et al included participants who were hypertensive and on antihypertensive medications that may produce lower BP responses throughout the day and attenuate the overall BP response to exercise.

The deep stages of non-REM sleep represent heightened neurophysiological restoration26 and increased physiological recuperation in muscle and tissue.16 Since prior amount of time awake is directly related to the amount of deep sleep, controlling for this in the current investigation allowed for the delineation of the effect of the exercise bout on subsequent deep sleep. Sleep is a period of reduced metabolic requirements essential to energy conservation and tissue restoration. Findings have suggested that deep sleep will increase as a result of increased daytime energy expenditure where exercise is the sole stimulus to deplete energy stores.27 Likewise, a decrease in deep sleep is observed during periods of restricted energy intake and weight loss.28 Exercise increases time in deep sleep, but there are variances in these results based on the type of exercise performed.16,27 Previous literature has shown an increase in deep sleep following an acute bout of moderate-intensity exercise during the afternoon hours.27 Our results are consistent with similar studies, but analysis of exercise timing revealed that deep sleep was significantly higher following 7A when compared to the 1P condition. Several physiological factors may have contributed to this finding; however, the limited evidence regarding the biological factors that control deep sleep only allows for discussion of the possible underlying mechanisms to remain purely speculative.

A significant reduction in REM sleep is generally seen following exercise conditions,27,29 and this reduction is greater with longer exercise bouts.29 The implications of decreased REM sleep in regard to sleep quality remain unclear. The timing of deep sleep is coupled to sleep onset, but the timing of REM sleep is potentially governed by an individual’s circadian rhythm.29,30 Therefore, exercise may alter and delay the circadian rhythm phases seen in humans.29 Alternatively, there may be a compensatory mechanism for the increases in non-REM sleep seen in response to exercise.

SOL drastically shortened at the 7A time point, but was also significantly decreased at 7P when compared with 1P (Figure 4). Previous studies have reported inconsistent findings on SOL, mostly when exercise was performed during the late-evening hours. Although Youngstedt et al29 reported an increase in SOL if exercise was performed within 4 hours of bedtime, several other studies have shown a decrease in SOL when exercise at various intensities was performed within this time period.31 To our knowledge, no other studies have compared SOL between different exercise time points within a 24-hour period of time. Our results show that aerobic exercise in the morning hours improved SOL more so than evening exercise.

Mechanisms regarding the beneficial effects of exercise on sleep are speculative, but have been linked to energy conservation, tissue restitution, and temperature downregulation.27,31 Temperature downregulation from the anterior hypothalamus in response to exercise-induced body heating has been the most accepted hypothesis,31 but lacks support in the literature. We speculate that hormonal influences may be responsible for improved sleep quality following a 7A exercise bout when compared to 1P. Dietary changes, energy expenditure, and specific hormonal factors, such as insulin and cortisol expression, alter the release of leptin. Schmid et al32 reported an increase in deep sleep with a concomitant increase in leptin levels, suggesting a possible relationship between leptin and sleep quality. As previously stated, deep sleep correlates with energy intake and energy expenditure, both of which are regulated by circulating levels of leptin. Single bouts of acute exercise have differing effects on leptin concentrations. When trained crew members rowed at maximal intensity for 30 minutes, exercise leptin levels displayed immediate and significant reductions.33 Additionally, after trained males underwent a running protocol for 60 minutes at 70% of their VO2 peak, leptin concentrations were decreased at both 24 hours and 48 hours postexercise.34 None of the aforementioned studies reported leptin concentrations throughout the entire day and night following exercise or when compared to a nonexercise day. The secretion of leptin follows a pulsatile fashion, with its highest levels in the evening and early morning hours. Therefore, the timing of exercise may alter the pulsatile secretion of leptin and should be further researched with respect to sleep architecture.

Conclusion

The present study indicates that partaking in a bout of moderate-intensity aerobic exercise in the early morning (7A) evokes optimal BP changes and results in an improvement in overall sleep architecture. Research demonstrates decreases in the deep stages of sleep, with concomitant increases in the lighter stages and a longer SOL correlated with an individual’s approach to middle age.35 To date, there have been no well-accepted nonpharmacological or pharmacological interventions to increase the amount of deep sleep. Therefore, utilizing aerobic exercise may be a nonpharmacological treatment to attenuate these alterations and improve sleep quality as one ages. The present investigation reports that the timing of exercise is an important aspect to maximize these effects. It seems that the effect of exercise on the various components of sleep architecture is a complicated phenomenon involving several physiological aspects that require further investigation. In conclusion, the early morning (at 7A) may be the most beneficial time of day to engage in aerobic exercise for the improvement of BP and sleep architecture.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

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