- Study protocol
- Open Access
The effect of home-based low-volume, high-intensity interval training on cardiorespiratory fitness, body composition and cardiometabolic health in women of normal body mass and those with overweight or obesity: protocol for a randomized controlled trial
BMC Sports Science, Medicine and Rehabilitation volume 11, Article number: 39 (2019)
There is a high prevalence of women in South Africa with overweight and obesity which is associated with an increased risk of cardiometabolic disorders. Perceived barriers such as lack of time and motivation reduce engagement in beneficial activity behaviours for health. High-intensity interval training (HIIT) is a time-efficient and effective way to improve cardiometabolic risk profile regardless of a loss in body mass or change in body composition. This randomized controlled trial aims to determine the effects on cardiorespiratory fitness, body composition and cardiometabolic health and feasibility of a home-based 14-week HIIT program in women with overweight/obesity or normal body mass.
One hundred and twenty women (18–40 years old) with a body mass index between 20 and 35 kg/m2, will be stratified according to their BMI (normal, BMI 20–24.9 kg/m2; or high BMI ≥25 kg/m2) and randomized into a HIIT exercising group (HIIT) or a non-exercising control group (CON). HIIT participants will perform exercises for 11 min/session six times per week for a period of 14 weeks. The 2 × 4 HIIT protocol will require a work phase of own-body weight exercise lasting 2 minutes (85% VO2peak), repeated four times and separated by a one-minute active rest phase (65% VO2peak). CON participants will be asked to maintain their normal habitual lifestyle. Outcomes of cardiorespiratory fitness, body composition, echocardiography, central blood pressure, arterial stiffness and biomarkers of cardiometabolic health will be measured before and after the 14-week intervention. Every 4 weeks during the intervention, an objective estimation of compliance to the study protocol will be assessed by measuring participant physical activity over 7 days using an Actigraph GT3X accelerometer.
Supervised laboratory-based HIIT interventions are effective in improving cardiometabolic health. More pragmatic exercise protocols may however show to be successful for mitigating barriers to the engagement in physical activity and exercise resulting in positive benefits to health. Investigation into home-based HIIT regimens are important in women, where globally the rising trend of overweight and obesity overshadows that of men. The results from this study may therefore inform future research on effective exercise prescription for women’s health.
Pan African Clinical Trial Registry (www.pactr.org - id no: PACTR201806003434299), 6th June 2018.
Non-communicable diseases (NCDs), including overweight and obesity, are estimated to cause 71% of deaths worldwide and 51% of deaths in South Africa , a statistic which outnumbers those deaths caused by communicable diseases . The most recent data from the South African National Health and Nutrition Examination Survey (SANHANES) reports that 64% of South African women older than 15 years, are overweight or obese (body mass index (BMI) > 25 kg/m2) and therefore at a greater risk of suffering from other NCDs . These data are in line with global trends of obesity whereby more women than men are overweight and obese . Excess weight gain or obesity is associated with concurrent increases in the incidence of hypertension, risk of type 2 diabetes, serum low density lipoprotein (LDL) cholesterol concentrations, and cardiovascular and metabolic disease risk [5, 6]. Obesity is also associated with several diseases in women including certain cancers (including breast and colon) [7,8,9], depression and sleep disturbances [10, 11], as well as all-cause mortality [12,13,14]. Hence it is not surprising that lifestyle interventions aimed at weight loss are still considered a cornerstone in the prevention and management of disease risk in women . Following the World Health Assembly’s release of a comprehensive global monitoring framework and targets for prevention and control of NCDs , the South African National Department of Health (NDoH) also issued a five-year strategic plan for the prevention and control of NCDs between the years 2013–2017. The strategic plan aimed to achieve a 10% reduction in overweight and obesity, 20% reduction in elevated blood pressure and 10% increase in participation in physical activity (PA)  through lifestyle modifications by the year 2020 . Public health strategies in South Africa have also emphasised increasing energy expenditure through an increase in daily PA and/or participation in exercise for maintaining ideal body mass. However, more research on engagement in and the effect of different possible exercise strategies on health outcomes is needed.
Engagement in exercise and PA and barriers to participation in PA
Increasing participation in exercise and PA is associated with a decrease in body fat [19,20,21,22], which reduces one’s risk of obesity-related diseases [23, 24] and all-cause mortality [12, 14]. Current PA guidelines recommend that adults take part in at least 150 min of moderate intensity exercise or 75 min of vigorous intensity exercise per week for weight management . However, only about 50% of healthy adults worldwide meet these recommended PA guidelines [3, 26]. Physical inactivity, which is defined as not meeting the recommended guidelines, is associated with hypertension, diabetes and obesity . Lack of time , family responsibilities , fatigue or feelings of weakness, lack of motivation, confidence, self-discipline and unaffordable exercise programmes as well as not making exercise a priority and health issues are well-documented barriers to sufficient PA participation in healthy populations [29,30,31,32]. A survey of women aged 18–49 years, from low-income households in Latin America who were at risk of type 2 diabetes indicated that lack of willpower and energy were the most frequently perceived barriers to physical activity engagement . In people with diagnosed obesity-related chronic diseases e.g. cardiovascular disease and type 2 diabetes, and who are referred to exercise-based rehabilitation programmes, independent engagement in exercise and physical activity behaviours remains low during the maintenance phases of rehabilitation [34,35,36]. Another well-established reason for poor engagement in long-term exercise maintenance programmes is due to lack of transport or the associated costs of transport to rehabilitation centres especially in lower income households . Finally, women who are overweight or obese report that social influence and fear of injury are important barriers to exercise . More research is therefore warranted to investigate pragmatic, convenient and time-saving physical activity and exercise interventions that will maximise overall health benefits, and that are feasible in engaging both healthy and clinical populations.
High intensity interval training
High intensity interval training (HIIT), has received much recent attention in health literature as a time-saving, effective exercise modality for cardiometabolic health . HIIT is characterised by bouts of vigorous activity separated by short rest intervals. These vigorous intensity exercise bouts typically require maintaining intensity thresholds of at least 85% of an individual’s maximum heart rate (HR), followed by active or passive rest at 65% maximum HR . Although there are a myriad of protocols used, most evidence suggests that HIIT is equally if not more beneficial for cardiometabolic health compared to moderate intensity continuous training (MICT) . Therefore, HIIT may offer an effective solution to people who struggle to maintain adequate levels of physical activity. The most commonly observed primary outcome measure in HIIT studies is a change in peak oxygen consumption (VO2peak) as an indirect measure of improvement in cardiovascular disease risk . Various other improvements in cardiometabolic health markers are also observed in trials investigating HIIT in adults with overweight/obesity, including reductions in systolic and diastolic blood pressure [40, 41], reversal of dyslipidemia [42, 43], improvements in insulin resistance, glycated haemoglobin (HbA1c) and fasting blood glucose concentrations [43,44,45]. The improvements in cardiometabolic risk factors are observed following both short term (< 12 weeks) and long term (> 12 weeks) participation in HIIT interventions despite no significant change in body composition .
Feasibility of HIIT interventions
To date, the vast majority of studies investigating the efficacy of HIIT in adults with overweight or obesity have used supervised, lab-based running and cycling protocols [40, 46, 47]. However, HIIT may be performed through various movements and is not limited to running or cycling. Other own-body weight exercises for use in HIIT have gained popularity and are easily conducted in the comfort of one’s home. Whether home-based HIIT activity produces similar cardiometabolic benefits to the classic running and cycling protocols needs investigation because understanding the feasibility of engagement in physical activity outside of research and clinic settings is important for understanding how to sustain health benefits. To our knowledge, only one recent study examined the effects of an unsupervised, home-based HIIT programme on body mass over 12 months in overweight adults . Although overall long-term adherence to the intervention was significantly low (23% of participants fully adherent), those participants who adhered to the programme showed greater reductions in body mass compared to non-adherent individuals , with adherent HIIT individuals performing the exercises for between 21 and 24 min per week. It is currently unknown whether a home-based HIIT can produce improvements in risk factors for cardiovascular and metabolic diseases.
The difficulty in prescribing an adequate dose of HIIT for loss of fat mass is largely due to the variability in protocols used in interventions [49, 50]. Cowan et al.  have shown in women with abdominal obesity that continuous, aerobic exercise for 24 weeks resulted in a reduction in total and abdominal adipose tissue independent of the amount or intensity of exercise. Women in a low-intensity, low-volume group who exercised for 30 min per session showed similar reductions in adipose tissue compared to the high-volume, high-intensity group (40 min/session) and the high-volume, low-intensity (almost 60 min/session) group . Some HIIT studies exceed the recommended guidelines for weekly vigorous physical activity, an amount of time which appears to be difficult to achieve in many populations [3, 26]. If sustained participation in any exercise is a primary factor in determining benefits to cardiovascular health, more studies of the feasibility of participation in low volume HIIT are needed. In addition, more randomized controlled trials using a healthy group comparator should be done to determine whether there are differences in the effects of HIIT between people with chronic disorders affecting cardiometabolic health and people free from chronic disorders . These studies may guide further investigations into understanding the physiological mechanisms underlying the benefits previously seen in HIIT trials.
Globally, public health interventions to decrease the prevalence of high body mass are failing to yield the desired outcomes in individual countries [22, 52]. Alternative and feasible exercise interventions that lower the risk of developing NCDs are important to investigate in women, who may often face multiple barriers to regular exercise participation. This paper describes the protocol for a randomised controlled trial to primarily assess effects of a 14-week high-intensity low-volume interval training intervention on the cardiorespiratory fitness of women with overweight/obesity and women of normal body mass. The study secondly aims to determine the effect of the intervention on body composition and cardiometabolic health as well as the feasibility of the intervention in the groups of women.
This randomised controlled trial will compare the effects of a 14-week low-volume high-intensity interval training intervention on cardiorespiratory fitness, body composition and cardiometabolic health in women of normal body mass and women with overweight/obesity. In addition, adherence to and drop-out rate of the intervention will be measured to determine feasibility. We hypothesise that at the end of the 14-week intervention, women with overweight/obesity performing HIIT will have significant changes in their cardiorespiratory fitness and cardiometabolic health regardless of a change in body composition. We also expect that a low-volume HIIT intervention will be feasible in this cohort of women.
This study will be a randomized controlled trial (Fig. 1), where equal numbers of participants (normal and high BMI) will be assigned to either a HIIT group (HIIT) or a control (CON) group. The study has been designed using the SPIRIT guidelines (Fig. 2 and Additional file 1). The reporting of the trial will be guided by the CONSORT statement for clinical trials. Women in the HIIT group will complete a home-based high intensity exercise program for 14 weeks. The control group will be asked to maintain their current activity and dietary behaviours. Physiological measurements of cardiorespiratory fitness, body composition and cardiometabolic health will be done at baseline and on completion of the intervention at the 14th week. Habitual activity behaviours will be determined objectively using accelerometers for a week prior to the start of the intervention and for a week following the intervention. During the intervention, monitoring of and adherence to the HIIT protocol will also be assessed with accelerometers and an exercise diary. The study has been approved by the University of the Witwatersrand Human Research Ethics Committee (protocol number: M180253). Informed consent will be obtained from all participants prior to entry into the study. The trial has been registered on the Pan African Clinical Trial Registry (www.pactr.org - id no: PACTR201806003434299).
The study measures will be conducted at the Movement Physiology Research Laboratory in the School of Physiology in Johannesburg, South Africa. The laboratory is situated in Parktown in the Faculty of Health Sciences, University of the Witwatersrand. Participants will conduct the 14-week intervention outside of the laboratory setting.
Recruitment of participants
Volunteers will be recruited from the academic community of the University as well as from the surrounding central business district. Study advertising will be placed on the online University newsletter, social media platforms such as Facebook, through direct invitation by the research team via their teaching roles and posters with study information will be displayed throughout the University’s faculties. The expected time frame for recruitment of participants is anticipated to take 18–24 months. Eligible volunteers will be enrolled into the study as and when they volunteer. Participants will be compensated for their costs incurred travelling to the laboratory for assessments. Recruitment of participants started on 1st July 2018 and is ongoing, and data collection is in progress.
Study participants/eligibility criteria
Women between the ages of 18 and 40 years will be invited to participate in the study. Women will be included if they have a BMI between 20 and 35 kg/m2 (normal to obese BMI categories) and are free from injury and/or known clinical conditions which would exclude them from partaking in exercise as assessed using the physical activity readiness questionnaire (PAR-Q). Known clinical conditions include family history of sudden death, uncontrolled hypertension, type I or type II diabetes and cardiovascular disease. No pre-requisite training background is required however participants will be excluded from the study if they report engaging in competitive exercise or take part in a structured exercise programme that has been prescribed by a physical trainer or other health-related exercise professional. Exclusion criteria are also women with a BMI < 20 kg/m2 or > 35 kg/m2, and if they report any diagnosed underlying cardiometabolic condition including hypertension, diabetes or cardiovascular disease. All volunteers will be informed verbally and in writing of the procedures of the study before signing an informed consent form and completing screening questionnaires. Participants will be asked to maintain their habitual diet throughout the study.
Sample size determination
Based on a small effect size of 0.20 (Cohen’s f) for an improvement in relative VO2peak after HIIT versus no HIIT , performing a priori sample size calculation for a repeated measures analysis of variance with an expected correlation of 0.50 between measurements, alpha of 0.05 and 85% power of detection, a total sample size of 60 women will be required (G*Power, version 188.8.131.52). The sample size will be doubled to account for further planned analysis of secondary outcomes in sub-groups of normal and high BMI women (HIIT normal BMI, HIIT high BMI, CON normal BMI, CON high BMI). The target sample size will be therefore be 120 women exclusive of drop outs.
The primary outcome of the trial is a change in cardiorespiratory fitness after the 14-week HIIT intervention. Secondary outcomes are changes in body composition, cardiovascular health and metabolic biomarkers of health, as well as measures of feasibility and physical activity and sedentary behaviour levels. Both primary and secondary outcomes will be measured before and after the 14-week intervention (Fig. 2).
Table 1 summarises the outcome measures to be made and the time points at which they will be measured during the study.
Volunteers will be required to visit the laboratory for an information session on the study. Eligible participants will then visit the laboratory to have their baseline and post-intervention measures taken. Participants in the exercising group will perform the HIIT program for 14 weeks in their own homes. During the intervention all participants will also visit the laboratory every 4 weeks (4th, 8th, and 12th weeks) to have an accelerometer fitted for measures of seven-day habitual activity. At these visits, body mass and waist-hip ratio will also be measured. Participants will be asked to refrain from consuming alcohol or caffeine for at least 24 h and food for at least 8 hours (eight-hour fast) before visiting the laboratory. Participants will also be asked to refrain from performing strenuous exercise 48 h prior to their measurement days. Post-intervention measurements will be performed a minimum of 48 h and a maximum of 4 days after the end of the HIIT intervention.
All eligible women will be classified as being in either one of two BMI groups (normal BMI: 20-24.9 kg/m2, n = 60; high BMI: 25-35 kg/m2, n = 60). Women will then be randomized into either a control group (CON) or a group that will follow the HIIT protocol (HIIT) resulting in four groups of women: high BMI control (CON-H; n = 30), normal BMI control (CON-N; n = 30), high BMI HIIT (HIIT-H; n = 30) and normal BMI HIIT (HIIT-N; n = 30). The randomisation procedure for the intervention groups will be done using Microsoft Excel RANDBETWEEN function. The RANDBETWEEN function (=RANDBETWEEN (1,2)) is able to assign participants into one of the two groups, in this instance 1 = CON and 2 = HIIT. Two random sequences of 120 numbers each (group 1 or 2) is generated for each BMI category (high and normal). The sequences were generated by an investigator who is not involved in the data collection procedures. Upon enrolment of a participant into the study, the group allocation of the participant is revealed to a non-blinded research assistant responsible for data collection.
The researcher collecting data will not be blinded to the group in which each participant is allocated because they will take all pre-, during and post-intervention measures from the participants and will monitor adherence to the HIIT intervention for the duration of the 14 weeks. An investigator and/or statistician will analyse data that has had the group allocation labels removed.
Maximal exertion test and determination of the intensity of the home-based HIIT exercises
All participants will undergo a maximal exertion test for the determination of measures of cardiorespiratory fitness and to determine the relative intensity (heart rate and rating of perceived exertion) at which the HIIT intervention should be performed. The maximal exercise test will take place at the pre-intervention visit and at the end of the 14-week intervention. A progressive incremental exercise test to volitional fatigue on a motorised treadmill will be performed to determine maximal aerobic capacity (relative VO2peak). An exercise physiologist will monitor the test and test variables. The participants will first perform a five-minute warm up (0% gradient and self-selected speed). A Balke-Ware treadmill protocol will be used . During the test the treadmill speed will stay constant at 5.3 km/h while the incline will increase by 1% every minute until the participant reaches exhaustion or the test is terminated. Participants will be required to wear a face mask (soft silicone for comfortable fit) during the test for the collection of expired respiratory gases. Breath-by-breath oxygen consumption and energy expenditure will be determined using a computerized analyzer (Quark ergo, COSMED, Rome, Italy). Heart rate will also be measured throughout the test using a wireless heart rate monitor connected to the same computerized analyzer. Rating of perceived exertion (RPE) will be monitored every 2 minutes during the test using the 6–20 Borg scale [54, 55]. The test will be terminated if the participant reaches volitional fatigue and/or if any of the test termination criteria appear as outlined in the American College of Sports Medicine (ACSM) test termination criteria . The test will be considered a maximal effort if (i) the measured oxygen consumption does not increase by more than 150 ml per successive workload, (ii) a respiratory quotient (R) value equal to or above 1.15 is reached, (iii) heart rate is more than 90% of the age-predicted maximal heart rate and (iv) the RPE is above 19 on the 6–20 Borg scale. From the maximal exercise test, peak uptake of oxygen indexed to body mass (relative VO2peak in ml/min.kg− 1) will be obtained and heart rate and estimated RPE at 85% VO2peak, and 65% VO2peak will be calculated to determine the intensities of the HIIT work phase and the HIIT active rest phase respectively.
The home-based HIIT intervention
The rating of perceived exertion and heart rate that occurred at 65 and 85% VO2peak during the maximal exercise test will be used as the targets for the intensity of the HIIT home-based intervention. The HIIT intervention will be thoroughly explained to each participant at an initial laboratory visit to ensure they understand the required effort needed to perform the HIIT sessions. Participants will receive an annotated diagrammatic sheet that explains what the exercises look like and how the exercises should be performed (Additional file 1) and they will also be provided with online resources for further guidance.
The protocol implemented will be a 2 × 4 HIIT (Table 2). A 2 × 4 HIIT requires a work phase lasting 2 minutes each which is repeated four times. During work phases participants are required to maintain a heart rate of 85% of their respective relative VO2peak. Between work phases (each 2 minutes of HIIT), a one-minute active rest phase is performed by maintaining movement i.e. by walking in the area/stepping on the spot at an RPE/HR corresponding to 65% of their relative VO2peak as determined from the maximal exercise test. For variation, four types of HIIT exercises, lasting 30s each, will make up each two-minute HIIT work phase. A total of eight types of own-body weight exercise will be performed. The exercises will be a combination of exercises such as high-knees, alternating backward lunges, squat jumps, inch-worms, sumo squats, running step-ups, mountain climbers and burpees. Considering a 2 × 4 required completion of exercise including a one-minute active rest phase, a total exercise time of 11 min per session will be completed. Participants in the HIIT group will be asked to perform a HIIT session six times per week on any days that suit them best (total of 66 min per week) for 14 weeks i.e. once a day on 6 days of the week or twice per day on 3 days of the week.
The CON participants will undergo the maximal exertion treadmill test but will not perform the HIIT exercises over the 14-weeks. Instead they will be asked to maintain their habitual activity and dietary habits at the time of recruitment and to not start any new exercise regimen during the 14 weeks. However, at the end of the 14-week follow up, participants will have the chance to receive the list of the HIIT exercises including their training intensities (from the maximal exertion test) and training frequencies to perform at their leisure. The research assistant will demonstrate the exercises to them.
Monitoring of adherence to the home-based HIIT protocol
During the intervention, all participants will be asked to wear an Actigraph wGT3X-BT accelerometer (Actigraph, LLC, Fort Walton Beach, FL, USA) for 7 days every 4 weeks as an objective measure of compliance to the intervention. The accelerometer data will be used to determine whether the total amount of time spent in vigorous intensity activity is different between the HIIT and CON. In addition, participants will be provided with an exercise diary and asked to log their exercise sessions as well as report on the rating of perceived exertion (a chart will be provided in the diary) for each session. Weekly mobile text messages will be sent to all participants including those in the control group, reminding them to maintain their compliance to the intervention. The Actigraph is a tri-axial accelerometer worn on the hip attached to an elasticated Velcro belt. The Actigraph will be provided to each participant for 1 week every 4 weeks during the intervention. Participants will be asked to wear the Actigraph around their waist for seven consecutive days of assessment for 24 h a day during the week of activity monitoring. Participants will be asked to only remove the Actigraph during showering, bathing or swimming activity. The time and duration that the Actigraph is removed for any reason will also need to be noted by the participant in their exercise diary.
Measures of peak and submaximal relative oxygen consumption and heart rate will be determined as measures of cardiorespiratory fitness. These data will be collected using the maximal treadmill test described earlier, before the start of and at the end of the 14-week intervention.
Completion, dropout rates and intervention adherence will be used to determine the feasibility of the low-volume home-based HIIT intervention . Feasibility will be reported using the following 1) the number of drop-outs after the intervention as a proportion of the number of recruited participants, 2) the number of HIIT sessions completed over the 14-week intervention period and 3) the number of participants who report not achieving the desired exertion level during the HIIT sessions at home. Data for points 2 and 3 will be collected using the exercise diaries.
Various measures of body composition will be taken. Stature and mass will be assessed to the nearest 0.1 cm and 0.1 kg respectively and used to calculate body mass index (BMI). Waist and hip circumference will be measured to the nearest 0.1 cm using standard approaches. Body fat percentage will be calculated using the sum of four skinfolds (triceps, biceps, suprailliac and subscapular) . Skin-fold thickness will be measured to the nearest 0.1 mm using Harpenden callipers (Baty International, West Sussex, UK). The same researcher will perform the measurement of skinfold thickness and the measurements will be taken after an overnight fast. Measurements will be taken twice and an average of the two values recorded unless the second measure is not within 5% of the first skinfold measure, then a third measure will be taken, with the median value then being recorded. Skinfold sites will also be measured in succession. Skinfold measurements will not be taken if the participant reports having recently exercised, been in the sauna, been swimming or has showered (less than 2 h since).
Cardiovascular health measures
Brachial blood pressure
Resting brachial blood pressure (BP) will be measured prior to any testing or exercise after a five-minute rest period. The average of two measurements will be taken with an automated BP monitor (SpaceLabs, Redmond, WA). If the first two measures for either the systolic or diastolic blood pressures differ by more than 5 mmHg, a third measurement will be taken to determine the mean blood pressure.
Central blood pressure and arterial stiffness
Pulse wave velocity (PWV), aortic reflected wave index, central aortic BP and its determinants (reflected and forward wave pressures) will be determined using commercially available hardware and software. After resting for 15 min in the supine position, the radial waveform will be recorded by applanation tonometry. A high-fidelity SPC-301 micromanometer (Millar Instrument, Inc., Houston, Texas), interfaced with a computer utilizing SphygmoCor software, version 9.0 (AtCor Medical Pty. Ltd., West Ryde, New South Wales, Australia) will be employed. The waveform will be calibrated by auscultatory measurement of the brachial BP. From the radial pressure waveform signal the SphygmoCor software calculates the aortic pressure waveform by means of a validated generalized transfer function. Aortic pulse pressure and central to brachial pulse pressure amplification ratio (PPamp) will be calculated. The magnitude of the forward and reflected wave components of the aortic pressure waveform will be determined by wave separation analysis using a modified triangular waveform (SphymoCor software). Aortic PWV will be measured by sequential recordings of the arterial pressure waveform at the carotid and the femoral arteries. Aortic PWV will be calculated as the ratio of the distance in meters to the transit time in seconds.
Echocardiographic measurements will be performed using an ultrasound (Acuson S2000, Siemens Healthcare GmbH, Germany) with the participant in the partial left decubitus position. Left ventricular (LV) dimensions will be determined using two-dimensional directed M-mode echocardiography in the short axis view and these recordings will be analysed according to the American Society of Echocardiography convention. M-mode images will be obtained perpendicular to the posterior wall and as close to the mitral leaflet as possible without images of the mitral leaflet appearing. The interventricular septal wall thickness (IVS), posterior wall thickness (PWT) and internal dimensions of the left ventricle will all be measured at both end diastole and end systole. Left ventricular diastolic function will be assessed using pulsed wave Doppler by assessing the mitral inflow at rest in the apical four chamber view. Pulse wave Doppler recordings of transmitral velocity will be obtained during early (E) and late (atrial-A) periods of left ventricular diastolic inflow, and expressed as the E/A ratio. Tissue Doppler imaging (TDI) will be used to measure the motion of the mitral valve annulus in the apical four-chamber view. The peak relaxation velocities during early (e’) and late (atrial) (a’) diastole will be obtained. Measures of left ventricular diastolic function will be expressed as the E/e’ ratio and the ratio of early to late mitral annular velocity (e’/a’). Cardiac systolic function will also be assessed by using two-dimensional speckle tracking derived myocardial deformation (strain and strain rate). Speckle tracking analysis will be performed on parasternal short axis images for circumferential strain and apical four chamber images for longitudinal strain. Peak strain and peak strain rate will be recorded.
Cardiometabolic biomarkers of health
After an overnight fast, 15 millilitres of blood will be obtained from the antecubital vein. Blood samples will be centrifuged, and plasma and serum will be stored at − 80 °C for later analysis. A blood sample via fingerprick will be also be analysed using a Point-Of-Care analyser (CardioCheck Plus, PTS diagnostics, Indianapolis, USA) for, total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol and triglycerides (TGs). Using the stored plasma and serum samples, the concentrations of various inflammatory markers and markers of metabolic and cardiovascular health will be determined. ELISA tests (Quantikine® HS, R & D Systems, Inc., Minneapolis, MS, USA) will be used to determine the concentrations of glucose, insulin, interleukin-6 (IL-6), high sensitivity C-reactive protein (hs-CRP), as well as adipokines, including adiponectin, leptin, and chemerin. Endothelial dysfunction will be determined by means of measuring circulating adhesion molecules including ICAM-1, VCAM-1 and E-selectin also using commercial ELISA kits. Insulin sensitivity will be estimated using the homeostasis model assessment of insulin resistance (HOMA-IR) .
Data will be analysed using Stata (version 15.1, StataCorp LLC, TX, USA). Data will be expressed as mean (SD) or as median (IQR). Data will be tested for normality (Shapiro-Wilks test) and relevant parametric or non-parametric tests will be applied to the testing of hypotheses. Patient characteristics will be reported for all those recruited into the study as well as those remaining in the study at the end of the intervention using descriptive statistics (mean and standard deviation or median and interquartile range or percentages). A linear mixed model analysis will be used to determine the effects of the HIIT intervention on body composition measures and cardiometabolic parameters with fixed factors of exercise group and time and a random factor of participant. The variance-covariance structures will be selected based on Bayes Information Criterion and the unstructured variance-covariance used. In the case of data that is not normally distributed a generalised linear mixed model will be used. Secondary outcome data between the four groups of women will be analysed in a similar way. Participant age and baseline physical activity level will be included in the models as covariates. Statistical significance will be set at 0.05 and effect sizes will also be reported.
This study intends to determine whether 66 min per week of own-body weight HIIT (which is 9 minutes/week less than the current WHO recommended guidelines of 75 min of vigorous activity per week) performed at home has the ability to 1) improve cardiorespiratory fitness, 2) result in cardiometabolic benefits regardless of BMI and 3) be a feasible method of engaging in exercise. The study also aims to determine whether the body composition and cardiometabolic changes in women with overweight/obesity and normal body mass are different compared to the non-exercising controls. There is evidence that short duration high intensity exercise has benefits to certain aspects of cardiovascular health [60, 61] however these studies were conducted in healthy males  and in patients with metabolic syndrome  respectively. Supervised HIIT has been shown to be as beneficial if not more beneficial compared to MICT on various parameters of health including blood lipid profiles, fasting glucose and insulin levels and blood pressure [37, 40, 41]. The time dedicated to supervised HIIT interventions however is often over and above the minimum recommended dose prescribed for the maintenance of cardiometabolic health . As one of the reasons cited for people not participating in regular exercise being a lack of available time , investigation into the efficacy of low volume but high intensity exercise on cardiometabolic health is needed to determine whether it is possible for people to minimise their required engagement in exercise for health including the need for generally healthy people to be supervised. HIIT may be especially beneficial for women, a group that experiences inequity in physical activity engagement . More long-term controlled trials investigating other markers of cardiometabolic health risk are needed in women to begin to explore the mechanisms for the efficacy of HIIT. Furthermore, most studies have used treadmill or cycling protocols and if a paradigm shift in the general population is to occur towards increasing levels of physical activity in habitual life, then more studies are needed on the efficacy of alternative exercise protocols on health in various populations in realistic settings. Only one study has investigated the effect of a one-year home-based HIIT on health in overweight adults. However the study participants showed poor compliance to the intervention and healthy controls were not included in the study .
We acknowledge that a potential limitation, as previously reported , will be compliance to the intervention. However, we aim to improve compliance by sending mobile text messages to the participants encouraging them to maintain engagement with the intervention. Motivational messaging is a strategy that has been used in other remote interventional trials [63,64,65] that have used behavioural therapy (motivation and counselling) which is complementary to exercise prescription. Another limitation to the study is that due to financial constraints it is not possible to provide a heart rate monitor to each participant for the monitoring of heart rate during the exercise sessions for the duration of the study. However, the first HIIT session will be conducted in the laboratory along with an exercise physiologist who will explain the protocol and indicate the individualised RPE at which the participants should exercise throughout the study. RPE using the Borg scale is a valid method for monitoring and prescribing exercise intensity regardless of sex, age, exercise modality or physical activity status .
The present study has the potential to inform future research on prescribing exercise therapy for people who are time-constrained. HIIT allows people to be flexible with engaging in physical activity instead of it becoming a burden to perform; and may encourage individuals who do not meet the physical activity guidelines to adopt a low-volume home-based HIIT programme for increasing engagement in physical activity levels for improved cardiometabolic and overall health. In addition, in comparing effects of HIIT between high and normal BMI groups, the current study will possibly identify future areas of mechanistic research as to how home-based own-body weight HIIT confers benefits to cardiometabolic health. The feasibility of low-volume, high-intensity exercise in overweight women could potentially mitigate some of the barriers to performing physical activity in a population that is at risk of cardiometabolic disease. Since HIIT is an effective exercise modality for the maintenance of cardiometabolic health, investigating the adherence to a home-based protocol is an important factor in understanding whether engagement in HIIT is in fact sustainable beyond the laboratory.
Availability of data and materials
American College of Sports Medicine
Body mass index
High density Lipoprotein
High intensity interval training
Homeostasis model assessment of insulin resistance
High sensitivity C-reactive protein
Interventricular septal wall thickness
Low density Lipoprotein
Moderate intensity continuous training
Moderate-vigorous intensity physical activity
National Department of Health
Brachial pulse pressure amplification ratio
Posterior wall thickness
Pulse wave velocity
Rating of perceived exertion
South African National Health and Nutrition Examination Survey
Tissue Doppler imaging
Peak oxygen consumption
World Health Organisation
World Health Organization (WHO). WHO | Noncommunicable diseases country profiles 2018: WHO. http://www.who.int/nmh/publications/ncd-profiles-2018/en/. Accessed 6 June 2019
Statistics South Africa. P0309.3 - Mortality and causes of death in South Africa 2015: Findings from death notification. 2017. http://www.statssa.gov.za/publications/P03093/P030932015.pdf. Accessed 10 Aug 2017.
Cois A, Day C, Vander HS, Rodgers A, Jackson R, Norton R. Obesity trends and risk factors in the South African adult population. BMC Obes. 2015;2:42.
NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. The Lancet. 2016;387:1377–96.
Mayosi BM, Flisher AJ, Lalloo UG, Sitas F, Tollman SM, Bradshaw D. The burden of non-communicable diseases in South Africa. Lancet. 2009;374:934–47.
Joubert J, Norman R, Lambert EV, Groenewald P, Schneider M, Bull F, et al. Estimating the burden of disease attributable to physical inactivity in South Africa in 2000. South Afr Med J Suid-Afr Tydskr Vir Geneeskd. 2007;97(8 Pt 2):725–31.
Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet Lond Engl. 2008;371:569–78.
Arnold M, Jiang L, Stefanick ML, Johnson KC, Lane DS, LeBlanc ES, et al. Duration of adulthood overweight, obesity, and Cancer risk in the Women’s health initiative: a longitudinal study from the United States. PLoS Med. 2016;13. https://doi.org/10.1371/journal.pmed.1002081.
Eyre H, Kahn R, Robertson RM. Preventing Cancer, cardiovascular disease, and diabetes: a common agenda for the American Cancer Society, the American Diabetes Association, and the American Heart Association. Diabetes Care. 2004;27:1812–24. https://doi.org/10.2337/diacare.27.7.1812.
Weschenfelder J, Bentley J, Himmerich H. Physical and mental health consequences of obesity in women. Adipose Tissue. 2018. https://doi.org/10.5772/intechopen.73674.
Thormann J, Chittka T, Minkwitz J, Kluge M, Himmerich H. Obesity and depression: an overview on the complex interactions of two diseases. Fortschr Neurol Psychiatr. 2013;81:145–53.
Xu H, Cupples LA, Stokes A, Liu C-T. Association of Obesity with Mortality over 24 years of weight history: findings from the Framingham heart study. JAMA Netw Open. 2018;1:–e184587. https://doi.org/10.1001/jamanetworkopen.2018.4587.
Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med. 2003;348:1625–38.
Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-Cause Mortality with Overweight and Obesity Using Standard Body Mass Index Categories: a systematic review and meta-analysis. JAMA. 2013;309:71–82. https://doi.org/10.1001/jama.2012.113905.
Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, et al. 2013 AHA/ACC/TOS guideline for the Management of Overweight and Obesity in adults. J Am Coll Cardiol. 2014;63:2985–3023.
World Health Assembly 66. Draft comprehensive global monitoring framework and targets for the prevention and control of noncommunicable diseases: formal meeting of the Member States to conclude the work on the comprehensive global monitoring framework, including indicators, and a set of voluntary global targets for the prevention and control of noncommunicable diseases: report by the Director-General. 2013. https://apps.who.int/iris/handle/10665/105633. Accessed 6 June 2019.
Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep. 1985;100:126–31 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1424733/. Accessed 27 Feb 2017.
National Department of Health. Strategic Plan for the Prevention and Control of Non-Communicable Diseases 2013–17. 2013. http://www.hsrc.ac.za/uploads/pageContent/3893/NCDs%20STRAT%20PLAN%20%20CONTENT%208%20april%20proof.pdf. Accessed 6 Jun 2019.
Cox CE. Role of physical activity for weight loss and weight maintenance. Diabetes Spectr. 2017;30:157–60. https://doi.org/10.2337/ds17-0013.
Hankinson AL, Daviglus ML, Bouchard C, Carnethon M, Lewis CE, Schreiner PJ, et al. Maintaining a high physical activity level over 20 years and weight gain. JAMA. 2010;304:2603–10.
Rosenkilde M, Auerbach P, Reichkendler MH, Ploug T, Stallknecht BM, Sjödin A. Body fat loss and compensatory mechanisms in response to different doses of aerobic exercise--a randomized controlled trial in overweight sedentary males. Am J Physiol Regul Integr Comp Physiol. 2012;303:R571–9.
Wiklund P. The role of physical activity and exercise in obesity and weight management: time for critical appraisal. J Sport Health Sci. 2016;5:151–4. https://doi.org/10.1016/j.jshs.2016.04.001.
Kearns K, Dee A, Fitzgerald AP, Doherty E, Perry IJ. Chronic disease burden associated with overweight and obesity in Ireland: the effects of a small BMI reduction at population level. BMC Public Health. 2014;14:143.
Klein S, Sheard NF, Pi-Sunyer X, Daly A, Wylie-Rosett J, Kulkarni K, et al. Weight management through lifestyle modification for the prevention and management of type 2 diabetes: rationale and strategies: a statement of the American Diabetes Association, the north American Association for the Study of obesity, and the American Society for Clinical Nutrition. Diabetes Care. 2004;27:2067–73.
Physical Activity Guidelines Advisory Committee. 2018 physical activity guidelines advisory committee scientific report. Washington DC: U.S. Department of Health and Human Services; 2018. https://health.gov/paguidelines/second-edition/report/pdf/PAG_Advisory_Committee_Report.pdf. Accessed 23 Feb 2018
Shisana O, Labadarios D, Rehle T, Simbayi L, Zuma K, Dhansay A, et al. The south African National Health and nutrition examination survey, 2012: SANHANES-1: the health and nutritional status of the nation. 2014 Edition. Cape Town: HSRC Press; 2014.
Warburton DER, Nicol CW, Bredin SSD. Health benefits of physical activity: the evidence. CMAJ Can Med Assoc J. 2006;174:801–9.
Reichert FF, Barros AJD, Domingues MR, Hallal PC. The role of perceived personal barriers to engagement in leisure-time physical activity. Am J Public Health. 2007;97:515–9.
Ansari WE, Lovell G. Barriers to exercise in younger and older non-exercising adult women: a cross sectional study in London, United Kingdom. Int J Environ Res Public Health. 2009;6:1443–55. https://doi.org/10.3390/ijerph6041443.
Gho SA, Munro BJ, Jones SC, Steele JR. Perceived exercise barriers explain exercise participation in Australian women treated for breast Cancer better than perceived exercise benefits. Phys Ther. 2014;94:1765–74. https://doi.org/10.2522/ptj.20130473.
Saligheh M, McNamara B, Rooney R. Perceived barriers and enablers of physical activity in postpartum women: a qualitative approach. BMC Pregnancy Childbirth. 2016;16:131. https://doi.org/10.1186/s12884-016-0908-x.
Hoare E, Stavreski B, Jennings GL, Kingwell BA. Exploring motivation and barriers to physical activity among active and inactive Australian adults. Sports Basel Switz. 2017;5:47.
Chang C, Khurana S, Strodel R, Camp A, Magenheimer E, Hawley N. Perceived barriers to physical activity among low-income Latina women at risk for type 2 diabetes. Diabetes Educ. 2018;44:444–53.
Rogerson MC, Murphy BM, Bird S, Morris T. “I don’t have the heart”: a qualitative study of barriers to and facilitators of physical activity for people with coronary heart disease and depressive symptoms. Int J Behav Nutr Phys Act. 2012;9:140.
Neubeck L, Freedman SB, Clark AM, Briffa T, Bauman A, Redfern J. Participating in cardiac rehabilitation: a systematic review and meta-synthesis of qualitative data. Eur J Prev Cardiol. 2012;19:494–503.
Dalal HM, Doherty P, Taylor RS. Cardiac rehabilitation. BMJ. 2015;351:h5000.
Warburton DER, McKenzie DC, Haykowsky MJ, Taylor A, Shoemaker P, Ignaszewski AP, et al. Effectiveness of high-intensity interval training for the rehabilitation of patients with coronary artery disease. Am J Cardiol. 2005;95:1080–4.
Milanović Z, Sporiš G, Weston M. Effectiveness of high-intensity interval training (HIT) and continuous endurance training for VO2max improvements: a systematic review and meta-analysis of controlled trials. Sports Med. 2015;45:1469–81.
Kavanagh T, Mertens DJ, Hamm LF, Beyene J, Kennedy J, Corey P, et al. Peak oxygen intake and cardiac mortality in women referred for cardiac rehabilitation. J Am Coll Cardiol. 2003;42:2139–43.
Batacan RB, Duncan MJ, Dalbo VJ, Tucker PS, Fenning AS. Effects of high-intensity interval training on cardiometabolic health: a systematic review and meta-analysis of intervention studies. Br J Sports Med. 2017;51:494–503.
Molmen-Hansen HE, Stolen T, Tjonna AE, Aamot IL, Ekeberg IS, Tyldum GA, et al. Aerobic interval training reduces blood pressure and improves myocardial function in hypertensive patients. Eur J Prev Cardiol. 2012;19:151–60.
Tjønna AE, Lee SJ, Rognmo Ø, Stølen TO, Bye A, Haram PM, et al. Aerobic interval training versus continuous moderate exercise as a treatment for the metabolic syndrome: a pilot study. Circulation. 2008;118:346–54.
Wisloff U, Stoylen A, Loennechen JP, Bruvold M, Rognmo O, Haram PM, et al. Superior cardiovascular effect of aerobic interval training versus moderate continuous training in heart failure patients: A randomized study. Circulation. 2007;115:3086–94.
Jelleyman C, Yates T, O’Donovan G, Gray LJ, King JA, Khunti K, et al. The effects of high-intensity interval training on glucose regulation and insulin resistance: a meta-analysis. Obes Rev Off J Int Assoc Study Obes. 2015;16:942–61.
Wormgoor SG, Dalleck LC, Zinn C, Borotkanics R, Harris NK. High-intensity interval training is equivalent to moderate-intensity continuous training for short- and medium-term outcomes of glucose control, Cardiometabolic risk, and microvascular complication markers in men with type 2 diabetes. Front Endocrinol. 2018;9:475.
Hannan AL, Hing W, Simas V, Climstein M, Coombes JS, Jayasinghe R, et al. High-intensity interval training versus moderate-intensity continuous training within cardiac rehabilitation: a systematic review and meta-analysis. Open Access J Sports Med. 2018;9:1–17.
Vella CA, Taylor K, Drummer D. High-intensity interval and moderate-intensity continuous training elicit similar enjoyment and adherence levels in overweight and obese adults. Eur J Sport Sci. 2017;17:1203–11.
Roy M, Williams SM, Brown RC, Meredith-Jones KA, Osborne H, Jospe M, et al. HIIT in the real world: outcomes from a 12-month intervention in overweight adults. Med Sci Sports Exerc. 2018;50:1818–26.
Andreato LV, Branco BHM, Esteves JV. Comment on: “Effect of high-intensity interval training on total, abdominal and visceral fat mass: A meta-analysis.”. Sports Med. 2018;48:2413–5.
Maillard F, Pereira B, Boisseau N. Effect of high-intensity interval training on Total, abdominal and visceral fat mass: a meta-analysis. Sports Med. 2018;48:269–88.
Cowan TE, Brennan AM, Stotz PJ, Clarke J, Lamarche B, Ross R. Separate effects of exercise amount and intensity on adipose tissue and skeletal muscle mass in adults with abdominal obesity. Obes Silver Spring Md. 2018;26:1696–703.
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the global burden of disease study 2013. Lancet. 2014;384:766–81. https://doi.org/10.1016/S0140-6736(14)60460-8.
Balke B, Ware RW. An experimental study of physical fitness of air force personnel. U S Armed Forces Med J. 1959;10:675–88.
Scherr J, Wolfarth B, Christle JW, Pressler A, Wagenpfeil S, Halle M. Associations between Borg’s rating of perceived exertion and physiological measures of exercise intensity. Eur J Appl Physiol. 2013;113:147–55.
Borg G, Dahlstrom H. A pilot study of perceived exertion and physical working capacity. Acta Soc Med Ups. 1962;67:21–7.
Guthrie J. Cardiorespiratory and health-related physical fitness assessments. In: Ehrman J, editor. ACSM’s resource manual for guidelines for exercise testing and prescription. 6th ed. Baltimore: Lippincott Williams and Wilkins; 2013. p. 297–331.
Boukabous I, Marcotte-Chénard A, Amamou T, Boulay P, Brochu M, Tessier D, et al. Low-volume high-intensity interval training (HIIT) versus moderate-intensity continuous training on body composition, cardiometabolic profile and physical capacity in older women. J Aging Phys Act. 2019:1–34. https://doi.org/10.1123/japa.2018-0309.
Durnin JV, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr. 1974;32:77–97.
Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27:1487–95.
Holloway K, Roche D, Angell P. Evaluating the progressive cardiovascular health benefits of short-term high-intensity interval training. Eur J Appl Physiol. 2018;118:2259–68.
Ramos JS, Dalleck LC, Ramos MV, Borrani F, Roberts L, Gomersall S, et al. 12 min/week of high-intensity interval training reduces aortic reservoir pressure in individuals with metabolic syndrome: a randomized trial. J Hypertens. 2016;34:1977–87.
Fortescue-Webb D, Evans T, Hanss K, Lamont T, NIHR steering group. Moving matters - interventions to increase physical activity. Themed review. 2019. https://discover.dc.nihr.ac.uk/content/themedreview-03898/moving-matters-interventions-to-increase-physical-activity. Accessed 10 Dec 2019.
Dunning JR, McVeigh JA, Goble D, Meiring RM. The effect of interrupting sedentary behavior on the cardiometabolic health of adults with sedentary occupations: a pilot study. J Occup Environ Med. 2018.
Healy GN, Eakin EG, Owen N, LaMontagne AD, Moodie M, Winkler EA, et al. A cluster RCT to reduce office workers’ sitting time: impact on activity outcomes. Med Sci Sports Exerc. 2016;48:1787–97.
Pesola AJ, Laukkanen A, Heikkinen R, Sipilä S, Sääkslahti A, Finni T. Accelerometer-assessed sedentary work, leisure time and cardio-metabolic biomarkers during one year: effectiveness of a cluster randomized controlled trial in parents with a sedentary occupation and young children. PLoS One. 2017;12:e0183299.
This research has received funding from the Iris Ellen Hodges Trust (grant number: 0001.410.8521101PHSLHDG) and the South African Sugar Association Nutrition Research Grants Programme (grant number: EA/049/19 project number:259).
The funders have had no role in the design of the study nor will they have any role in the collection, analysis and interpretation of the data and in the writing of the manuscript.
Ethics approval and consent to participate
The study has been approved by the University of the Witwatersrand Human Research Ethics Committee (protocol number: M180253). Informed consent will be obtained from all participants prior to taking part in the study and will be collected by the investigators enrolling participants in the study. All personal information will be kept separate from data and data will only be identifiable by a code with the links stored separately in a password protected digital file. After the 14-week intervention, participants in the CON group will be offered the opportunity to be taught the HIIT programme to undertake at their leisure and for their benefit. Participants will receive compensation for their transportation costs at every visit to the exercise laboratory.
Consent for publication
The authors declare that they have no competing interests.
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Frimpong, E., Dafkin, C., Donaldson, J. et al. The effect of home-based low-volume, high-intensity interval training on cardiorespiratory fitness, body composition and cardiometabolic health in women of normal body mass and those with overweight or obesity: protocol for a randomized controlled trial. BMC Sports Sci Med Rehabil 11, 39 (2019). https://doi.org/10.1186/s13102-019-0152-6
- High intensity low-volume interval training
- Body composition
- Cardiometabolic health
- Physical activity