Literature DB >> 35083878

Blood pressure and cardiac autonomic adaptations to isometric exercise training: A randomized sham-controlled study.

Anthony Decaux1, Jamie J Edwards1, Harry T Swift1, Philip Hurst1, Jordan Hopkins1, Jonathan D Wiles1, Jamie M O'Driscoll1.   

Abstract

Isometric exercise training (IET) is increasingly cited for its role in reducing resting blood pressure (BP). Despite this, few studies have investigated a potential sham effect attributing to the success of IET, thus dictating the aim of the present study. Thirty physically inactive males (n = 15) and females (n = 15) were randomly assigned into three groups. The IET group completed a wall squat intervention at 95% peak heart rate (HR) using a prescribed knee joint angle. The sham group performed a parallel intervention, but at an intensity (<75% peak HR) previously identified to be inefficacious over a 4-week training period. No-intervention controls maintained their normal daily activities. Pre- and post-measures were taken for resting and continuous blood pressure and cardiac autonomic modulation. Resting clinic and continuous beat-to-beat systolic (-15.2 ± 9.2 and -7.3 ± 5.6 mmHg), diastolic (-4.6 ± 5 and -4.5 ± 5.1), and mean (-7 ± 4.2 and -7.5 ± 5.3) BP, respectively, all significantly decreased in the IET group compared to sham and no-intervention control. The IET group observed a significant decrease in low-frequency normalized units of heart rate variability concurrent with a significant increase in high-frequency normalized units of heart rate variability compared to both the sham and no-intervention control groups. The findings of the present study reject a nonspecific effect and further support the role of IET as an effective antihypertensive intervention. Clinical Trials ID: NCT05025202.
© 2022 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society.

Entities:  

Keywords:  blood pressure; isometric exercise

Mesh:

Year:  2022        PMID: 35083878      PMCID: PMC8792514          DOI: 10.14814/phy2.15112

Source DB:  PubMed          Journal:  Physiol Rep        ISSN: 2051-817X


INTRODUCTION

Hypertension is well‐established as the leading modifiable risk factor for both cardiovascular disease and all‐cause mortality worldwide (Lim et al., 2012). The global prevalence of hypertension is estimated at 1.13 billion, which is associated with significant economic burden on healthcare services (Zhou et al., 2017). Isometric exercise training (IET) has emerged as a convenient, time‐efficient intervention, which has produced clinically significant blood pressure (BP) reductions in both hypertensive and normotensive populations (Inder et al., 2016). The antihypertensive effects of IET have been supported in multiple meta‐analytical studies (Carlson et al., 2014; Inder et al., 2016; López‐Valenciano et al., 2019), with reductions similar to or greater than those observed in traditional aerobic exercise training (Cornelissen & Smart, 2013). While the efficacy of IET appears unequivocal, researchers have rarely evaluated this modality using rigorous research designs involving a placebo control, which is considered the gold standard for medical interventions (Fudim et al., 2019). The current evidence is therefore limited in determining whether the outcomes of IET are owing to the actual intervention or to other nonspecific factors, such as the placebo effect (Beedie et al., 2018; Hurst et al., 2019). The magnitude of the placebo effect on exercise interventions has been suggested to have a small to medium effect (Hurst et al., 2019) and can account for up to half of the observed psychological benefits of exercise (Lindheimer et al., 2015), as well as accounting for 34% and 47% of the antihypertensive drug response for systolic and diastolic BP, respectively (Wilhelm et al., 2016). Given the absence of appropriate placebo‐controlled studies, the efficacy of IET may be overestimated. Controlling for nonspecific factors in exercise interventions is complicated by the inability to blind participants (i.e., participants are likely to be aware that they are, or they are not, receiving IET). Researchers have therefore advocated the use of sham controls resembling the intervention, but in a variant proven to be ineffective (Beedie et al., 2018; Lindheimer et al., 2015). To the best of our knowledge, there is only one IET study utilizing a sham design, in which the sham group performed a handgrip protocol, but was instructed not to generate any force during the exercise bouts (Ray & Carrasco, 2000). This design is problematic as the participants are likely to be aware that they are not performing the intervention and are therefore not sufficiently blinded. Thus, the application of a sham design IET intervention which effectively blinds the participants is imperative. It has previously been shown that 4 weeks of IET at 95% peak heart rate (peak HR) significantly improved resting blood pressure (Wiles et al., 2017), whereas 4 weeks of IET at 75% peak HR had no effect (Wiles et al., 2010). Given that these interventions are identical beside from the intensity, these results suggest that 4 weeks of IET at 75% peak HR, could be used as an appropriate sham for 4 weeks of IET at 95% peak HR. In this study, we compared BP and cardiac autonomic modulation adaptations following 4 weeks of IET with 4 weeks of sham IET and a no‐intervention control. We hypothesized that the IET will reduce resting clinic and continuous beat‐to‐beat BP, along with improvements in cardiac autonomic modulation compared to sham and no‐intervention controls.

MATERIALS AND METHODS

Participants

Thirty physically inactive (self‐reported in accordance with the current guidelines) (World Health Organization, 2010) males (n = 15) and females (n = 15) were volunteered to participant in this study. Participants (age 30.2 ± 8.4 years; height 170.6 ± 9.2 cm; mass 82.3 ± 18.3 kg; BMI 28.2 ± 5.6 kg⋅m−2) were healthy with normal or high‐normal blood pressure under no pharmacotherapy, in accordance with the ESC/ESH guidelines for blood pressure classifications (<140/<90 mmHg) (Williams et al., 2018). All testing and data collection occurred at Canterbury Christ Church University. Informed consent was signed by all participants before testing. Canterbury Christ Church University Ethics Committee approved this research, ensuring conformity to the declaration of Helsinki principles (18/SAS/47C).

Resting clinic blood pressure

Participants were randomized into either the IET group, sham group, or no‐intervention control group through a single‐blinded protocol prior to any baseline measures. There were no significant differences in the participant physical characteristics between the groups (Table 1). Participants were required to refrain from strenuous exercise, caffeine, and alcohol consumption for 24 h and fast for 8 h prior to testing (Whelton et al., 2018). Participants attended the laboratory on two occasions for pre‐ and post‐intervention measures.
TABLE 1

Participant physical characteristics of the IET, control, and sham groups

ParameterIETControlSham
Age (years)31.4 ± 628.3 ± 5.629.4 ± 7.8
Height (cm)172 ± 11170 ± 8.2170 ± 8
Weight (kg)83.7 ± 2484.9 ± 21.779 ± 18
BMI (kg⋅m−2)28.2 ± 7.829 ± 6.227.7 ± 5.8

Abbreviations: BMI, body mass index; IET, isometric exercise training.

Participant physical characteristics of the IET, control, and sham groups Abbreviations: BMI, body mass index; IET, isometric exercise training. Baseline resting systolic (sBP), mean (mBP), and diastolic (dBP) BP measures were recorded from the brachial artery as an average of three measures, separated by 5 min following 15 min of rest using an automated oscillometric BP monitor (Dinamap Pro 200 Critikon; GE Medical Systems, Freiburg, Germany) in accordance with the current guidelines (Whelton et al., 2018).

Continuous blood pressure and cardiac autonomics

Cardiac autonomic variables were measured using the Task Force® Monitor (TFM), which is a validated noninvasive beat‐to‐beat monitoring system providing automatic calculations of all outputs. Using the TFM, continuous sBP, mBP, and dBP measures were acquired via the vascular unloading technique at the proximal limb of the index or middle finger, which was automatically corrected to oscillometric BP values obtained at the brachial artery of the opposite arm. Heart rate (HR) was recorded through a six‐channel electrocardiogram and cardiac autonomic modulation was assessed by the oscillating fluctuations in the frequency and amplitude of each R‐R interval using power spectral analysis and applying an autoregressive model (Akselrod et al., 1981). Through the TFM’s automatic QRS algorithm, high‐ and low‐frequency parameters of heart rate variability were calculated and automatically expressed in both absolute (ms2) and normalized units (nu) (Li et al., 1995; Pan & Tompkins, 1985). All outcomes were acquired from a 5‐min recording period in the supine position as per recommended guidelines (Malik et al., 1996). Baroreceptor reflex sensitivity was recorded via the sequence method which relies on the linear regression of continuous changes in sBP and the lengthening or shortening of the R‐R interval (Taylor et al., 2017). From all regressions, a mean slope of BRS was calculated and only sections with correlation coefficients of r > 0.95 were analyzed.

Isometric exercise training protocol

For the IET group, participants were required to complete a wall squat, consisting of resting their back against a fixed wall with their feet parallel, shoulder width aside, and their arms relaxed down by their side. As previously described (Goldring et al., 2014; O’Driscoll et al., 2017; Wiles et al., 2008), peak HR was determined via an incremental isometric wall squat test with beat‐to‐beat HR responses in accordance to the prescribed knee angle (Wiles et al., 2017). In line with previous evidence (Wiles et al., 2017), the intervention group was prescribed a 4‐week IET program at a knee joint angle predicted to elicit 95% peak HR. This intervention comprised of 4 × 2‐min bouts separated by 2‐min rest intervals, performed three times per week (12 IET sessions in total); ensuring a minimum of 48‐hour recovery between each session. To ensure that participants were working at the desired intensity, each participant was instructed to monitor HR throughout each session using a Polar RS400 (Polar Electro Oy, Professorintie 5, FIN‐90440 Kempele, Finland) HR monitor and report the HR data back to the researchers, in which the knee joint angle could be adjusted accordingly if required. Each participant used a “bend and squat” device (made in‐house), which was individually adjusted to govern the prescribed knee joint angle (Wiles et al., 2017). For the sham group, participants performed the same incremental isometric wall squat test and parallel IET intervention. However, their training was prescribed at a knee joint angle, which would elicit an intensity of <75% peak HR so they did not achieve a sufficient physiological stimulus for BP adaptation to occur (Wiles et al., 2010). No‐intervention control participants were required to perform pre‐ and post‐measures, maintaining their normal routine and daily activities, which were confirmed prior to laboratory assessment.

Sample size

Based on previous studies utilizing wall squat isometric exercise training for BP reduction, we expected the IET intervention to result in a decrease in resting sBP of at least 6 mmHg (Taylor et al., 2019; Wiles et al., 2017) in the training group with no statistically significant change in the control group. This difference was considered to be clinically relevant. Using the likely changes and the coefficient of variation of sBP (4.6%) from Wiles et al. (2010), we estimated a sample size of 10 participants, with 80% power, and P less than 0.05.

Statistical analysis

Before analysis, all data were checked for conformity with parametric assumptions. All data were analyzed using SPSS (V22.0, release version for windows; Armonk, NY: IBM Corp) and presented as mean ± standard deviation. Comparison of data collected pre‐ and post‐intervention between the IET, sham, and no‐intervention control groups was analyzed using analysis of covariance (ANCOVA) with baseline parameters used as covariates to assess whether changes in BP and cardiac autonomic parameters following the intervention, sham, and no‐intervention control groups are influenced by initial baseline values. Statistical significance was deemed a priori as p < 0.05.

RESULTS

All thirty participants completed the study with no adverse events reported. Resting clinic HR, BP, continuous beat‐to‐beat BP, and cardiac autonomic variables were successfully acquired from all participants.

Resting clinic and continuous blood pressure

Participants in the IET group showed significant reductions in resting clinic sBP (−15 ± 9 mmHg, p = 0.003), mBP (−7 ± 4, p = 0.004), and dBP (−5 ± 5, p = 0.02) with no significant change in the sham (sBP −1 ± 5 mmHg, p = 0.98; mBP 0 ± 4, p = 0.72; and dBP 0 ± 2, p = 0.77) and no‐intervention control (sBP 1 ± 6 mmHg, p = 0.98; mBP 1 ± 4, p = 0.72; and dBP 1 ± 4, p = 0.77) groups (Table 2). Similarly, participants in the IET intervention showed significant reductions in continuous sBP (−7 ± 6 mmHg, p = 0.001), mBP (−8 ± 5 mmHg, p = 0.03), and dBP (−5 ± 5 mmHg, p = 0.004) with no significant changes in the sham (sBP 0 ± 4 mmHg, p = 0.94; mBP −1 ± 5, p = 0.91; and dBP 0 ± 4, p = 0.49) and no‐intervention control (sBP 0 ± 3 mmHg, p = 0.94; mBP −1 ± 3, p = 0.91; and dBP −1 ± 3, p = 0.49) groups (Table 2 and Figure 1). Figure 2 demonstrates the density distribution, mean, and individual changes in continuous sBP, mBP, and dBP following IET, control, and sham conditions.
TABLE 2

Resting blood pressure pre‐ and post‐isometric exercise training, control, and sham conditions

ParameterIET (n = 10)Control (n = 10)Sham (n = 10)
PrePostPrePostPrePost
Clinic sBP (mmHg)131 ± 6116 ± 6* 119 ± 9120 ± 7120 ± 8119 ± 8
Clinic mBP (mmHg)97 ± 590 ± 5* 89 ± 590 ± 687 ± 289 ± 4
Clinic dBP (mmHg)80 ± 675 ± 7* 73 ± 674 ± 871 ± 671 ± 6
Continuous sBP (mmHg)117 ± 9110 ± 13* 110 ± 9110 ± 9114 ± 4114 ± 4
Continuous mBP (mmHg)93 ± 885 ± 10* 84 ± 883 ± 887 ± 586 ± 4
Continuous dBP (mmHg)65 ± 1161 ± 11* 66 ± 966 ± 969 ± 669 ± 4

Abbreviation: dBP, diastolic blood pressure; IET, isometric exercise training; mBP, mean blood pressure; sBP, systolic blood pressure.

p < 0.05.

FIGURE 1

Mean continuous systolic (a), mean (b), and diastolic (c) blood pressure change values for the isometric exercise training group (open circles), no‐intervention control group (closed circles), and sham group (arrows). Note: Error bars indicate standard error of the mean; *p < 0.05 between the isometric exercise training group and both control and sham condition

FIGURE 2

Illustrates the density distribution, average, and individual delta change in continuous systolic (a), mean (b), and diastolic (c) blood pressure following isometric exercise training, control, and sham groups

Resting blood pressure pre‐ and post‐isometric exercise training, control, and sham conditions Abbreviation: dBP, diastolic blood pressure; IET, isometric exercise training; mBP, mean blood pressure; sBP, systolic blood pressure. p < 0.05. Mean continuous systolic (a), mean (b), and diastolic (c) blood pressure change values for the isometric exercise training group (open circles), no‐intervention control group (closed circles), and sham group (arrows). Note: Error bars indicate standard error of the mean; *p < 0.05 between the isometric exercise training group and both control and sham condition Illustrates the density distribution, average, and individual delta change in continuous systolic (a), mean (b), and diastolic (c) blood pressure following isometric exercise training, control, and sham groups

Cardiac autonomic modulation

There was a significant decrease in low‐frequency normalized units (−12 ± 14%, p = 0.01) parallel to a significant increase in high‐frequency normalized units (12 ± 14%, p = 0.01) in the IET group compared to both the sham (5 ± 12%, p = 0.98 and −5 ± 12%, p = 0.98) and no‐intervention control (8 ± 7%, p = 0.98 and −8 ± 7%, p = 0.98) groups, for low frequency and high frequency, respectively. There were no differences in total power spectral density, absolute high frequency, absolute low‐frequency HRV, LF/HF ratio, HR, or BRS between IET, sham, and no‐intervention controls (Table 3).
TABLE 3

Cardiac autonomic parameters pre‐ and post‐isometric exercise training, control, and sham conditions

ParameterIET (n = 10)Control (n = 10)Sham (n = 10)
PrePostPrePostPrePost
Heart rate (b⋅min−1)68 ± 1267 ± 1070 ± 867 ± 1078 ± 1380 ± 13
PSD (ms2)2332 ± 18042974 ± 29162604 ± 28242696 ± 21992591 ± 23192686 ± 2901
LF (ms2)1109 ± 960918 ± 637883 ± 7311029 ± 5631000 ± 6651195 ± 1053
HF (ms2)933 ± 10571702 ± 21771227 ± 15281114 ± 14211029 ± 11201196 ± 1763
LF/HF ratio1.52 ± 0.581.11 ± 0.621.22 ± 0.61.58 ± 0.751.41 ± 0.681.72 ± 1.02
LFnu (%)60.1 ± 1648.4 ± 18* 51.3 ± 1359 ± 1655.1 ± 1360.5 ± 16
HFnu (%)39.9 ± 1651.6 ± 18* 48.7 ± 1341 ± 1644.9 ± 1339.5 ± 16
BRS (ms⋅mmHg−1)22.9 ± 1226.3 ± 1619.1 ± 719.2 ± 623.4 ± 1121.4 ± 13

Abbreviations: BRS, baroreceptor reflex sensitivity; HF, high frequency; HFnu, normalized units high frequency; LF, low frequency; LF/HF ratio, low frequency to high frequency ratio; LFnu, normalized units low frequency; PSD, power spectral density.

p < 0.05.

Cardiac autonomic parameters pre‐ and post‐isometric exercise training, control, and sham conditions Abbreviations: BRS, baroreceptor reflex sensitivity; HF, high frequency; HFnu, normalized units high frequency; LF, low frequency; LF/HF ratio, low frequency to high frequency ratio; LFnu, normalized units low frequency; PSD, power spectral density. p < 0.05.

DISCUSSION

This study examined the efficacy of 4 weeks of IET on BP and cardiac autonomics in comparison to a sham and no‐intervention control. In line with our research hypothesis, we found that a 4‐week IET intervention significantly reduced resting clinic and continuous blood pressure measures compared to a 4‐week sham intervention and no‐intervention control group. These findings suggest that BP responses to IET are fundamentally intensity dependent, and that 75% peak HR is an intensity insufficient to elicit such responses over this training period duration. In line with previous research (Paz et al., 2016), the observed reductions in both resting and continuous sBP, mBP, and dBP following the 4‐week IET intervention are clinically significant at a magnitude similar to that reported with antihypertensive pharmacotherapy (Law et al., 2009). Importantly, such results are associated with statistically significant reductions in risk of cardiovascular disease and mortality; providing further support for the clinical utility of IET in BP management (Brunström & Carlberg, 2018; Ettehad et al., 2016). An important aspect of the current study was the inclusion of the sham control, which allowed us to delineate the specific and nonspecific effects of the intervention. Recent evidence has shown that many exercise and blood pressure interventions can be influenced through nonspecific effects, such as the placebo effect (Hurst et al., 2019; Lindheimer et al., 2015) and regression to the mean (Moore et al., 2019), which may overestimate the true effect of an intervention (Beedie et al., 2018). Participants in the sham control group performed the IET intervention at 75% peak HR for 4 weeks and reported no differences in any outcome variables when compared to participants in the no‐treatment control; while differences were observed for participants who completed 4 weeks of IET. These results support previous findings of the inefficacy of a 4‐week IET at 75% peak HR (Wiles et al., , 2017) and indicate its function as an appropriate sham control when used with this amount and duration of IET. The significant BP reductions reported in the IET group compared to both sham and no‐intervention control groups suggest that the BP lowering effects of IET are directly attributable to physiological adaptations due to the specific physical training stimulus resulting from exceeding a threshold intensity of IE. Specifically, as supported in previous research (Goldring et al., 2014; O’Driscoll et al., 2017; Wiles et al., 2008), our data support adaptations in cardiac autonomic modulation as an important mechanistic pathway. Although debated (Goldstein et al., 2011), it is generally accepted that the low‐frequency component of HRV primarily represents sympathetic activity and high frequency predominantly represents parasympathetic outflow (Shaffer & Ginsberg, 2017). As such, the findings of this paper suggest an increase in cardiac vagal control with a decrease in sympathetic tone as a mechanistic pathway for the observed reduction in BP following IET (Prakash et al., 2005; Taylor et al., 2019). However, the changes in LF/HF ratio were not statistically significant and thus do not directly support this concept. No significant differences in resting HR or BRS between IET, sham, and no‐intervention control suggest that other mechanisms are responsible for the observed reductions in BP. However, previous research has demonstrated that BRS may be a significant mechanistic pathway for the observed BP reductions (O’Driscoll et al., 2021; Taylor et al., 2017; Taylor et al., 2019). It is therefore likely that the present work was underpowered to detect significant changes in BRS. Before exercise interventions can be adopted by society, it important that researchers use appropriate controls when evaluating their efficacy. However, a fundamental challenge in establishing efficacy is the development of appropriate sham controls that are indistinguishable from the true intervention and have no clinical benefit (Beedie et al., 2018; Hurst et al., 2019). In this study, we provide evidence that 4 weeks of IET at 75% peak HR can be used as a valid sham control for research investigating the efficacy of 4 weeks of IET at 95% peak HR. Research examining the efficacy of IET should adopt similar sham controls to improve accuracy of results. If these are not included, effects may be overestimated and owing to nonspecific factors, such as the placebo effect, which has been shown to significantly affect the outcome of exercise interventions (Hurst et al., 2019; Lindheimer et al., 2015). We therefore suggest that researchers investigating IET include sham controls in study design to make more accurate inferences about its efficacy.

Limitations and future research

It is important to consider the limitations of this study. First, the sample size is small and underpowered. However, it should be noted that this study is one of the first to show support for the efficacy of an IET sham intervention. A larger randomized sham‐controlled study should be performed in future, with measures of central (e.g., cardiac functional and mechanical responses) and peripheral (e.g., vascular function) parameters, to further ascertain a mechanistic adaptation for BP reduction. Second, baseline BP in the IET group was higher than both sham and no‐intervention control groups. Previous research has identified greater reductions in BP for those with higher baseline BP, thus potentially exaggerating our observed reductions in the IET group (Cornelissen & Smart, 2013; Hu et al., 2017). However, it was a randomized control study, and there were no significant baseline differences in continuous blood pressure measures between the groups. Thus, future research should aim to recruit a sample with more homogenous baseline characteristics. Furthermore, we sampled a healthy cohort with normal to high‐normal baseline BP and the relative application of our findings to diseased and hypertensive populations is unknown. While the safety of this IET protocol has previously been investigated in stage 1 hypertensives (Wiles et al., 2018), these findings do not extend to those with stage 2 hypertension and beyond. Researchers should consider replicating the results of our study on hypertensive participants. Finally, for a more rigorous sham design, future research should include a manipulation check and assess whether the participants in the sham group expected the intervention to be effective.

Conclusion

This randomized, between participant, sham‐controlled study supports the role of IET as an effective antihypertensive intervention. We found that BP and cardiac autonomic modulation improved following 4 weeks of IET at 95% peak HR than sham and no‐intervention control groups. These findings suggest that the effects of IET are the result of the intervention and are not to other nonspecific factors, such as the placebo effect. These results further support that IET produces clinically relevant reductions in both resting and continuous BP. Future research sampling a larger, hypertensive population is needed.

CONFLICT OF INTEREST

There is no conflict of interest.

AUTHOR CONTRIBUTIONS

The sharing of data in an open‐access repository was not included in our participants consent. Thus, in accordance with standard ethical practice, data may only be available upon request from the corresponding author.
  36 in total

1.  The effects of isometric wall squat exercise on heart rate and blood pressure in a normotensive population.

Authors:  Natalie Goldring; Jonathan D Wiles; Damian Coleman
Journal:  J Sports Sci       Date:  2013-07-24       Impact factor: 3.337

2.  Sham trials: benefits and risks for cardiovascular research and patients.

Authors:  Marat Fudim; Fatima Ali-Ahmed; Manesh R Patel; Paul A Sobotka
Journal:  Lancet       Date:  2019-05-25       Impact factor: 79.321

3.  2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Paul K Whelton; Robert M Carey; Wilbert S Aronow; Donald E Casey; Karen J Collins; Cheryl Dennison Himmelfarb; Sondra M DePalma; Samuel Gidding; Kenneth A Jamerson; Daniel W Jones; Eric J MacLaughlin; Paul Muntner; Bruce Ovbiagele; Sidney C Smith; Crystal C Spencer; Randall S Stafford; Sandra J Taler; Randal J Thomas; Kim A Williams; Jeff D Williamson; Jackson T Wright
Journal:  J Am Soc Hypertens       Date:  2018-08

4.  2018 ESC/ESH Guidelines for the management of arterial hypertension.

Authors:  Bryan Williams; Giuseppe Mancia; Wilko Spiering; Enrico Agabiti Rosei; Michel Azizi; Michel Burnier; Denis L Clement; Antonio Coca; Giovanni de Simone; Anna Dominiczak; Thomas Kahan; Felix Mahfoud; Josep Redon; Luis Ruilope; Alberto Zanchetti; Mary Kerins; Sverre E Kjeldsen; Reinhold Kreutz; Stephane Laurent; Gregory Y H Lip; Richard McManus; Krzysztof Narkiewicz; Frank Ruschitzka; Roland E Schmieder; Evgeny Shlyakhto; Costas Tsioufis; Victor Aboyans; Ileana Desormais
Journal:  Eur Heart J       Date:  2018-09-01       Impact factor: 29.983

Review 5.  Isometric exercise training for blood pressure management: a systematic review and meta-analysis to optimize benefit.

Authors:  Jodie D Inder; Deborah J Carlson; Gudrun Dieberg; James R McFarlane; Nicole Cl Hess; Neil A Smart
Journal:  Hypertens Res       Date:  2015-10-15       Impact factor: 3.872

6.  Regression to the mean of repeated ambulatory blood pressure monitoring in five studies.

Authors:  Myles N Moore; Emily R Atkins; Abdul Salam; Michele L Callisaya; James L Hare; Thomas H Marwick; Mark R Nelson; Leah Wright; James E Sharman; Anthony Rodgers
Journal:  J Hypertens       Date:  2019-01       Impact factor: 4.844

7.  Neurohumoral and ambulatory haemodynamic adaptations following isometric exercise training in unmedicated hypertensive patients.

Authors:  Katrina A Taylor; Jonathan D Wiles; Damian A Coleman; Paul Leeson; Rajan Sharma; Jamie M O'Driscoll
Journal:  J Hypertens       Date:  2019-04       Impact factor: 4.844

8.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Stephen S Lim; Theo Vos; Abraham D Flaxman; Goodarz Danaei; Kenji Shibuya; Heather Adair-Rohani; Markus Amann; H Ross Anderson; Kathryn G Andrews; Martin Aryee; Charles Atkinson; Loraine J Bacchus; Adil N Bahalim; Kalpana Balakrishnan; John Balmes; Suzanne Barker-Collo; Amanda Baxter; Michelle L Bell; Jed D Blore; Fiona Blyth; Carissa Bonner; Guilherme Borges; Rupert Bourne; Michel Boussinesq; Michael Brauer; Peter Brooks; Nigel G Bruce; Bert Brunekreef; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Fiona Bull; Richard T Burnett; Tim E Byers; Bianca Calabria; Jonathan Carapetis; Emily Carnahan; Zoe Chafe; Fiona Charlson; Honglei Chen; Jian Shen Chen; Andrew Tai-Ann Cheng; Jennifer Christine Child; Aaron Cohen; K Ellicott Colson; Benjamin C Cowie; Sarah Darby; Susan Darling; Adrian Davis; Louisa Degenhardt; Frank Dentener; Don C Des Jarlais; Karen Devries; Mukesh Dherani; Eric L Ding; E Ray Dorsey; Tim Driscoll; Karen Edmond; Suad Eltahir Ali; Rebecca E Engell; Patricia J Erwin; Saman Fahimi; Gail Falder; Farshad Farzadfar; Alize Ferrari; Mariel M Finucane; Seth Flaxman; Francis Gerry R Fowkes; Greg Freedman; Michael K Freeman; Emmanuela Gakidou; Santu Ghosh; Edward Giovannucci; Gerhard Gmel; Kathryn Graham; Rebecca Grainger; Bridget Grant; David Gunnell; Hialy R Gutierrez; Wayne Hall; Hans W Hoek; Anthony Hogan; H Dean Hosgood; Damian Hoy; Howard Hu; Bryan J Hubbell; Sally J Hutchings; Sydney E Ibeanusi; Gemma L Jacklyn; Rashmi Jasrasaria; Jost B Jonas; Haidong Kan; John A Kanis; Nicholas Kassebaum; Norito Kawakami; Young-Ho Khang; Shahab Khatibzadeh; Jon-Paul Khoo; Cindy Kok; Francine Laden; Ratilal Lalloo; Qing Lan; Tim Lathlean; Janet L Leasher; James Leigh; Yang Li; John Kent Lin; Steven E Lipshultz; Stephanie London; Rafael Lozano; Yuan Lu; Joelle Mak; Reza Malekzadeh; Leslie Mallinger; Wagner Marcenes; Lyn March; Robin Marks; Randall Martin; Paul McGale; John McGrath; Sumi Mehta; George A Mensah; Tony R Merriman; Renata Micha; Catherine Michaud; Vinod Mishra; Khayriyyah Mohd Hanafiah; Ali A Mokdad; Lidia Morawska; Dariush Mozaffarian; Tasha Murphy; Mohsen Naghavi; Bruce Neal; Paul K Nelson; Joan Miquel Nolla; Rosana Norman; Casey Olives; Saad B Omer; Jessica Orchard; Richard Osborne; Bart Ostro; Andrew Page; Kiran D Pandey; Charles D H Parry; Erin Passmore; Jayadeep Patra; Neil Pearce; Pamela M Pelizzari; Max Petzold; Michael R Phillips; Dan Pope; C Arden Pope; John Powles; Mayuree Rao; Homie Razavi; Eva A Rehfuess; Jürgen T Rehm; Beate Ritz; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Jose A Rodriguez-Portales; Isabelle Romieu; Robin Room; Lisa C Rosenfeld; Ananya Roy; Lesley Rushton; Joshua A Salomon; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; Amir Sapkota; Soraya Seedat; Peilin Shi; Kevin Shield; Rupak Shivakoti; Gitanjali M Singh; David A Sleet; Emma Smith; Kirk R Smith; Nicolas J C Stapelberg; Kyle Steenland; Heidi Stöckl; Lars Jacob Stovner; Kurt Straif; Lahn Straney; George D Thurston; Jimmy H Tran; Rita Van Dingenen; Aaron van Donkelaar; J Lennert Veerman; Lakshmi Vijayakumar; Robert Weintraub; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Warwick Williams; Nicholas Wilson; Anthony D Woolf; Paul Yip; Jan M Zielinski; Alan D Lopez; Christopher J L Murray; Majid Ezzati; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

Review 9.  Exercise training for blood pressure: a systematic review and meta-analysis.

Authors:  Veronique A Cornelissen; Neil A Smart
Journal:  J Am Heart Assoc       Date:  2013-02-01       Impact factor: 5.501

Review 10.  Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies.

Authors:  M R Law; J K Morris; N J Wald
Journal:  BMJ       Date:  2009-05-19
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