Skip to main content

High Intensity Interval- vs Resistance or Combined- Training for Improving Cardiometabolic Health in Overweight Adults (Cardiometabolic HIIT-RT Study): study protocol for a randomised controlled trial



Although evidence shows the positive health effects of physical activity, most of the adult population in Colombia are sedentary. It is, therefore, important to implement strategies that generate changes in lifestyle behaviours. This protocol describes a study in which we will compare the effects of 12 weeks of high-intensity interval training (HIIT), resistance training (RT) or combined training (HIIT + RT) on the improvement of body composition, endothelial function, blood pressure, blood lipids, and cardiorespiratory fitness in a cohort of sedentary, overweight adults (aged 30–50 years).


Sixty sedentary, overweight adults attending primary care in Bogotá, Colombia will be included in a factorial randomised controlled trial. Participants will be randomly assigned to the following intervention groups: (1) non-exercise group: usual care with dietary support, (2) HIIT group: 4 × 4-min intervals at 85–95 % maximum heart rate (HRmax) (with the target zone maintained for at least 2 minutes), interspersed with a 4-min recovery period, at 65 % HRmax, (3) RT group: completing a resistance circuit (including upper and lower muscle groups) as many times as needed according to subject’s weight until an expenditure of 500 kcal at 40–80 % of one-rep max (1RM) has been achieved, and (4) combined group: HIIT + RT. The primary end point for effectiveness is vascular function as measured by flow-mediated vasodilatation 1 week after the end of exercise training.


The results of this study will provide new information about the possible effect of the programme in improving the cardiometabolic health of overweight adults, making a more efficient use of an adult’s resources over time.

Trial registration ID: NCT02715063. Registered on 8 March 2016.

Peer Review reports


The prevalence of obesity has increased worldwide [1] among both children and adults, and obesity is associated with an increased risk for cardiovascular diseases (CVD) [2, 3]. Substantial evidence indicates that increased body weight and body fat distribution are associated with a higher frequency of adverse health consequences, including hypertension, CVD, metabolic disorders, osteoarthritis, gallbladder stone disease, asthma and multiple malignancies [4, 5]. International organisations [6, 7] and previous epidemiological cross-sectional studies have suggested that individuals with a large accumulation of body fat in the abdominal region are at greater risk for the development of metabolic syndrome [8, 9]. In addition to obesity, hypertension, dyslipidaemia and low cardiorespiratory fitness (CRF) are also modifiable risk factors associated with the risk for CVD [10, 11]. Furthermore, it has become increasingly clear that low CRF may exacerbate the risk of CVD mortality, and that increasing peak CRF to higher than 5 peak metabolic equivalents (MET) can reduce and perhaps eliminate the mortality rate associated with dyslipidaemia, obesity, type 2 diabetes mellitus and hypertension [12].

The health benefits of exercise training are well documented; it is necessary for healthy growth and development because it optimises cardiometabolic function and prevents chronic disease [13, 14]. Additionally, its benefits are not only biological, but also include psychosocial advantages [15]. The most recent guidelines promoted by the World Health Organisation (WHO) recommend a minimum of 150 min of moderate-intensity physical activity (3 to <6 MET) or 75 min of vigorous-intensity physical activity (≥6 MET per week or any equivalent combination for health benefits, and 300 min of moderate-intensity physical activity or 150 min of vigorous-intensity physical activity per week for additional health benefits [16, 17].

Previous studies have reported improvement in endothelial function in different disorders, such as obesity, diabetes mellitus and metabolic syndrome, by increasing the production and bioactivity of nitric oxide [1821]. In addition, a growing body of evidence has demonstrated comparable or superior improvements in cardiometabolic health outcomes using low-volume, high-intensity interval training (HIIT) compared to traditional moderate-intensity continuous training (MICT) [18, 19]. Other studies have revealed a strong relationship between vascular function and CRF [20, 21]. Thus, because HIIT is a potent method of improving CRF, several systematic and narrative reviews that have investigated the impact of HIIT relative to MICT on vascular function in clinical patients have emerged over recent years [18, 19, 22]. HIIT provides rapid physiological adaptations, as indicated by improvements in maximal oxygen uptake (VO2max), anaerobic threshold and stroke volume [23, 24]. Instead, it was suggested that the ability of HIIT to restore vascular homeostasis through enhancement in shear stress-induced nitric oxide bioavailability may be another important mechanism that explains the protective role of exercise against CVD development [25].

Interestingly, despite the prevalence of obesity and the existing multiple position stands promoting exercise for the treatment of obesity, there are few randomised trials that have directly compared the effects of sustained resistance training (RT), HIIT, or a combination of the two (RT + HIIT) to be as effective or more effective for improving cardiometabolic health in adults [26, 27]. Most of the published studies addressing RT and fat mass changes have compared RT to an inactive control group and not to HIIT. Furthermore, existing studies have not directly studied comparable amounts of HIIT and RT. A recent randomised controlled trial (RCT) suggests that adding plyometric exercises to a HIIT programme may be more beneficial than HIIT alone in young obese women [28]. Given the increasing burden of chronic disease, more research is needed to better understand the effect of different exercise modalities on these risk factors [29].

Thus, this paper describes the rationale, design, and methodologies used in a factorial randomised controlled trial (Cardiometabolic HIIT-RT Study), wherein we hypothesised that HIIT and combined training would result in greater improvements in vascular function compared to RT and usual clinical care.


Study design and setting

The present study is a RCT ( ID: NCT02715063). The Cardiometabolic HIIT-RT Study is a single-blind, randomised controlled, 2 × 2 factorial trial. The study received ethical approval from the Medical Research Ethics Committee of The University of Manuela Beltran (ID 06-1006-2014). Random allocation to treatment will be performed at the individual level.



Participants aged 30–50 years, who are sedentary (no participation in exercise more than once a week for the previous 6 months) with abdominal obesity: waist circumference (WC) at least 90 cm for men, and at least 80 cm for women, or with excess weight: body mass index (BMI) at least 25 kg/m2 for men and 35 kg/m2 for women, and who are identified as being willing and with almost immediate availability, will be enrolled. Eligible subjects for the present study and those interested in participating will be invited to a pre-test that includes an interview in a private health care institution (Clinica Rangel Pereira IPS) and further assessments performed at the Centre of Studies in Physical Activity Measurements (in Spanish, CEMA), School of Medicine and Health Sciences, University of Rosario, Bogotá, Colombia. Risks will be minimised by ruling out contraindications to the testing and training protocols via a health history and thorough physical examination prior to the testing sessions. Inclusion and exclusion criteria are provided in Table 1.

Table 1 Inclusion/exclusion criteria


Consecutive men or women with abdominal obesity or excess weight will be recruited from a private health care institution (Clinica Rangel Pereira, IPS) and one primary care institution (Universidad del Rosario, IPS) that receives referrals from both medical consultants in secondary care and primary care general practitioners in the capital district of Bogotá, Cundinamarca Department in the Andean region. This region is located at approximately 4°35′56″N 74°04′51″W and at an elevation of approximately 2625 m (min: 2500 m; max: 3250 m) above sea level [30]. Subjects who are interested in participating will be approached with further information and screened for pre-participation exercise habits using a cardiovascular and musculoskeletal checklist (i.e. the patient’s medical history, disease history, physical fitness, and more). A member of the research team will follow up with a phone call to screen for eligibility and explain the main requirements of the study. All participants will provide written informed consent before entering the study.

Blinding and randomisation methods

The randomisation into the four study arms will be performed by the Centre of Studies in Physical Activity Measurements at University of Rosario, Bogotá, Colombia, using block randomisation with a block size of four. Eligible participants will be randomly assigned after completing the baseline measurements to either the control or exercise training groups. The principal investigator will coordinate the allocation sequence, and randomisation will be computer-generated. All participants and study personnel (including investigators, trainers, and statisticians) will be blinded to treatment allocation throughout the trial protocol. Access to the allocation code will be restricted to one study statistician who will not perform the final study analyses. Randomisation will be conducted independently using sealed opaque envelopes. These procedures are also detailed in the study operations manual. Moreover, the importance of maintaining the blinding and allocation concealment will be reinforced by regularly scheduled conference calls at the sites and daily meetings with the field investigators (Fig. 1).

Fig. 1

Consolidated Standards of Reporting Trial (CONSORT) guidelines flow diagram for enrolment and randomisation in the Cardiometabolic HIIT-RT Study


The participants who are randomly assigned to the intervention group will participate in the cardiometabolic programme.

  1. 1.

    Usual clinical care group

This group will receive usual clinical care according to the consensus recommendations of the national goals for cardiovascular health promotion and disease reduction of the American Heart Association [31] and Colombian guidelines COLDEPORTES (in Spanish, Departamento Administrativo del Deporte, la Recreacion, la Actividad Fisica y el Aprovechamiento del Tiempo Libre) [32]. Participants will receive counselling about goals for cardiovascular health, as well as monitoring cardiovascular health over time in the Colombian population, key signs and symptoms, diet and screening for cardiometabolic risk factors. This group will be asked to maintain their level of activity during the 12-week study period.

  1. 2.

    High-intensity interval training (HIIT) group

The HIIT protocol will be completed with fast walking or running on a treadmill with the deck inclined to reach the desired intensity. We will calculate the training energy expenditure for participants’ age ranges associated with meeting the consensus public health recommendations from the WHO [16] and the US Department of Health and Human Services [17]. Each preparatory period starts with an exercise dose of 6 kcal kg-1 week-1, which will increase progressively by 2 kcal kg-1 week-1 until week 4, where it will remain at 12 kcal kg-1 week-1 for weeks 5 to 12.

Preparatory training phase: weeks 1–4

To initiate our study we will use a 4-week preparatory phase of training to bring all participants up their 300-kcal goal for the session. To accomplish this they will warm up at 65 % of maximum heart rate (HRmax) (5 min); exercise for 4 × 4-min intervals at 60–80 % HRmax, interspersed with a 4-min recovery period at 55 % HRmax, at a frequency of three times per week.

Protocol of interval training: weeks 5–12

The overall goal for the HIIT group is to perform exercise sessions in 4 × 4-min intervals at 85–95 % HRmax (with the target zone maintained for at least 2 minutes), interspersed with a 4-min recovery period at 65 % HRmax. During each exercise session, participants will adhere to the 12-kcal kg-1 week-1 energy expenditure format, equivalent to 500 kcal of expended energy at the end of training and cool-down (5 min), with a range total exercise time of 35 to 45 min (Fig. 2). Exercise will be performed for three sessions per week. During the supervised intervention, we will record HR using an HR monitor (Polar Pacer, Lake Success, NY, USA) to ensure compliance with the exercise stimulus at the predetermined target HR zone. In addition, HR and Borg ratings will also be measured in each exercise session.

Fig. 2

Example of a 30–40-min 4 × 4 high-intensity interval training (HIIT) session

Fig. 3

Schedule of enrollment, intervention and assessment*

  1. 3.

    Resistance training group

Preparatory training phase: weeks 1–4

All participants will complete a base resistance training protocol during the 2 weeks prior to the training intervention (Table 2). This phase will encompass a total of three workouts (Monday, Wednesday, and Friday) during the 4 weeks. During the adaptation phase, the subjects will expend energy up to 300 kcal at 20–50 % of one repetition maximum (1RM), for 2 × 20–30 repetitions with 1-min rest intervals. During each exercise session, participants will adhere to the 6–8 kcal kg-1 week-1 energy expenditure format. The purpose of the preparatory phase will be to instruct proper lifting technique, familiarise participants with all exercises, and ensure that the participants began the study with a comparable training base.

Table 2 Resistance training programme

RT protocol: weeks 5–12

After the preparatory phase, participants will expend 500 kcal of energy during the protocol training phase at 40–80 % of 1RM, for 4 × 20–30 repetitions and 1-min rest intervals. The RT protocol will be used to complete a resistance circuit (including upper and lower muscle groups; eight exercises); all participants will expend energy up to the 500-kcal goal. The entire workout will last approximately 30–40 minutes, depending on the number of exercises (Table 2), at a frequency of three times per week. Each session is preceded and followed by a gradual warm-up and cool-down period (both of 10-min duration and consisting of walking and light, static stretching (avoiding muscle pain) in most muscle groups). The cool-down period also includes relaxation and stretching exercises. The RT protocol will be performed through the full range of motion normally associated with correct technique for each exercise, engaging the major muscle groups (abdominal, dorsal, shoulder, upper and lower limb muscles). As a general rule and to avoid potential risks, we will avoid (1) activities that include Valsalva’s mechanism, (2) ballistic and plyometric movements, and (3) positions of extreme muscular tension. This resistance training programme has been used before, successfully promoting strength and muscle gains in middle-aged and elderly populations with a variety of conditions (e.g. diabetes type II and obesity) [33, 34].

  1. 4.

    Combined training group

This group will receive both the HIIT and RT protocols as described above. Therefore, the energy expenditure associated with the physical training prescribed for the vigorous-intensity group will be approximately 1500 kcal/week.

Overall, we will monitor each subject’s HR (FS1, Polar Electro Öy, Kempele, Finland) during the exercise sessions. We will estimate the energy expenditure during the exercise sessions by calibrating the energy expenditure to the HR during the VO2max tests performed at the baseline and post-intervention time points. The regression of the energy expenditure will be calculated for each participant according to HR and minutes spent exercising during the training sessions. Trainers will be physical therapists and physical educators with experience developing and monitoring exercise programmes among clinical populations. All protocol training will be performed under observation and supervision in an exercise laboratory with complete and strict monitoring of the amount of exercise completed in each session. Adherence to the exercise programme will be encouraged by the exercise professional who supervises each of the group sessions. To maximise adherence to the training programme each session will have a maximum of three to five participants training simultaneously. Attendance at supervised sessions includes compliance with target HR and expenditure energy and will be monitored and recorded by research staff. Each participant will meet with the study dietician for nutrition assessment and counselling, and an individualised nutrition intervention plan will be developed from the baseline food intake assessment according to participant preferences [35]. This plan is a standardised meal consisting of 1300 to 1500 kcal (50–55 % carbohydrates, 30–35 % total fat, less than 7 % saturated fat and 15–22 % protein).

At the beginning of the training protocol, we will obtain the participants’ weight to determine weekly energy expenditure necessary to achieve their target of 12 kcal kg-1 week-1 (iso-energetic). It is expected that the gradual increase in total energy expenditure will minimise fatigue, soreness, injuries, and attrition.

Data collection and outcome measures

Outcome measures will be assessed at baseline and at 12-week follow-up by personnel blinded to the treatment allocation. Data will be recorded on standardised forms and entered into a secured-access database that contains quality control checks (e.g. range checks, notification of missing data).

The primary outcome measure is endothelial function as measured by flow-mediated dilatation (FMD). The secondary outcome variables include HR variability, pulse wave velocity (PWV), weight, BMI, WC, body composition, body temperature, biochemical profile, health-related physical fitness, self-perceived health, health-related quality of life (HRQL), and side effects. Other variables of interest include 24-hour dietary recall, lifestyle and demographic characteristics (Table 3 and Figure 3).

Table 3 Summary of time point measurements of the primary and secondary outcomes of the study

Primary outcome measures

Endothelial function

FMD will be measured with the technique introduced by Ramírez-Vélez et al. [36] in the Colombian population using the guidelines reported by Corretti et al. [37]. The diameter of the brachial artery will be assessed using a high-resolution ultrasound device (Acuson Sequoia C512, Acuson Siemens, Mountain View, CA, USA), equipped with a 7.5–10-MHz linear array transducer and an integrated electrocardiography package. The ultrasound procedures will be performed with the subject resting quietly in a supine position for at least 10 min. Measurements will be performed in the morning (06.00–08.00 hours) due to diurnal variation in a climate-controlled room (18–20 °C) with the lights dimmed. All measurements will be taken at the end of diastole as observed by electrocardiogram. First, the diameter of the right brachial artery will be searched in a cross-sectional view and then scanned over a longitudinal section 5 to 10 cm proximal to the right elbow. The diameter of the brachial artery will be measured from the anterior to the posterior intima-lumen interface at a fixed distance, calculating the mean diameter from four cardiac cycles. After this, a pneumatic tourniquet placed around the right forearm will be rapidly inflated to at least 50 mmHg above the systolic blood pressure for 5 min. A sudden release of the cuff will induce an increase in blood flow in the brachial artery located proximal to the tourniquet. During reactive hyperaemia, shear stress will increase, causing endothelium-dependent vasodilatation, mainly due to endothelial release of nitric oxide [38, 39]. This secondary dilatation enhances and prolongs the reactive hyperaemic phase. FMD of the brachial artery will be measured 45–60 s after cuff release. The change in diameter caused by the increased flow will be calculated as the percentage change relative to the baseline measurement (FMD%). The intra-session coefficients of variation will be up to 1 % for baseline diameter. Reliability, estimated by intra-class correlation coefficients (ICC) based on four baseline measurements (n = 8 subjects), showed an ICC of 0.91 for the baseline diameter and 0.83 for FMD (own date). Images will be recorded on a DVD player for subsequent measurements by one observer blinded to the study.

Secondary outcomes

Heart rate variability

Measurement of HR variability will be performed according to current recommendations by the European Society of Cardiology using an evaluated share-ware (Kubios, vers. 2.0; [40]. The variations in interbeat intervals in the time domain will be quantified by the mean values and standard deviations of normal interbeat intervals in the supine position.

Aortic pulse wave velocity (PWV) and augmentation index (AIx)

Both PWV and AIx will be measured with the oscillometric method using the occlusion technique. Patient data and the measured distance between the jugulum and the symphysis will be registered in the arteriography-programmed computer (TensioMed Software v.; TensioMed, Budapest, Hungary). A tape measure will be used for measuring the distance between the jugulum and the symphysis, namely the aortic distance. The cuff will be placed on the patient’s upper arm and connected to the device. Pressure variations in the cuff will influence a pressure receptor and the signal, and will then be transferred via an infrared port to the computer. The algorithm measuring blood pressure in the arteriography device has been validated [41]. PWV will be calculated as the jugulum and the symphysis distance (m) divided by return time (return time/2) (s). For PWV, two recordings with the lowest standard deviation will be chosen. The standard deviation will be calculated from every heartbeat during a period of 8 s. Both aortic AIx (AIxao) and brachial AIx (AIxbr) will be calculated as:

$$ 100\times \left(\mathrm{early}\ \mathrm{systolic}\ \mathrm{pressure}\ \mathrm{peak}-\mathrm{late}\ \mathrm{systolic}\ \mathrm{peak}\right)/\left.\mathrm{pulse}\ \mathrm{pressure}\right). $$

The return time is the difference (in ms) between the first (early systolic pressure peak) and reflected systolic wave (late systolic peak) and is related to the stiffness of the aorta. The PWV and AIx will be presented as the mean values from two recordings. The algorithm for estimation of central systolic blood pressure (cSBP) has been derived from the relationship between invasively measured cSBP and the SBP in the brachial artery, and cSBP estimated by arteriography correlates well with invasively measured cSBP [41]. Blood pressure will be measured at the same time of the day using a validated digital automatic blood pressure monitor (OMRON M6, Omron Health Care Co., Ltd., Kyoto, Japan) according to the International Protocol of the European Society of Hypertension [42].

Morphological component

Anthropometric variables will be assessed by a nutritionist in accordance to the International Society for the Advancement of Kinanthropometry (ISAK) guidelines [43]. Variables will be collected at the same time in the morning, between 00.70 and 00.80 hours, following an overnight fast of at least 10–12 hours. The body weight of the subjects will be measured when the subjects are in underwear and without shoes, using electronic scales (Tanita® BC544, Tokyo, Japan). The height of the subjects will be measured using a mechanical stadiometer platform (Seca® 274, Hamburg, Germany). The BMI of the subjects will be calculated as the body weight in kilograms divided by the square of the height in metres. The WC will be measured as the narrowest point between the lower costal border and the iliac crest; in case this is not evident, it will be measured at the midpoint between the last rib and the iliac crest using a tape measure (Ohaus® 8004-MA, Parsippany, NJ, USA). The waist-to-height ratio will be computed by dividing WC by height, and this provides a surrogate measure of central body fat. We will take each measure twice and use the average measure obtained, unless the first and second measures vary by more than 1 %, in which case we will use the median of three measurements.

Body composition

We will also measure fat mass, lean body mass, abdominal adipose tissue and bone mineral density by conducting a dual-energy X-ray absorptiometry scan (DEXA) (Hologic, QDR 4500 W). An experienced DEXA technologist who is blinded to the study randomisation will perform the DEXA imaging studies.

Body temperature

We will use a thermo-infrared camera (FLIR Thermacam E60, FLIR systems, Boston, MA, USA). Images in the frontal plane will be taken from the anterior and posterior sides, according to the thermal image acquisition criteria described by Ring and Ammer [44]. During the measurement process, participants will remain in their underwear and will maintain a steady orthostatic position during the image acquisitions. The distance from the camera to the subjects will be 2.5 m. The study will be conducted according to the guidelines of the American Academy of Thermography [45]. A single investigator, trained in the use of thermographic devices, will obtain the images.

Plasma samples and biochemical analysis

A fasting blood sample will be obtained from the cubital vein in the early morning at the clinical care session attended by the participants in the subset. The biochemical profile will include: (1) plasma lipid triglycerides, total cholesterol, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c) (by enzymatic colourimetric methods); and (2) the metabolic regulators glucose and haemoglobin A1C (HbA1c) (by enzymatic colourimetric methods). All determinations will be analysed in serum using a Cardiocheck® and A1CNow+® system.

Self-reported fitness

Self-reported fitness will be determined by the International Fitness Scale (IFIS), which is a questionnaire validated in European [46] and Colombian adults [47]. IFIS consists of a Likert-type scale (range 1–5) with five response options (very poor, poor, average, good, and very good) about perceived overall fitness; its main components include CRF, muscular strength, speed and agility, and flexibility ( IFIS has shown ‘high’ validity and ‘moderate’ to ‘good’ reliability in young adults [48]. In Colombian adults, the internal consistency and reproducibility of IFIS items was high (Cronbach’s alpha = 0.80) and the averaged ICC range was 0.90–0.96 [47].

Health-related physical fitness

Physical fitness will be measured using tests that have previously shown high validity and reliability levels. It will be determined using a maximum treadmill exercise test (Precor TRM 885, Treveso, Italy) following the modified Balke protocol [49], which has been extensively used [50, 51] and validated [52]. The treadmill test will use a ramp protocol where the inclination is constant (5.5 %) and the speed increased by 0.5 km/h every minute, starting at 4 km/h. Each session will begin with a 5- to 10-min warm-up at 50 W. We will ask participants to refrain from smoking for 2 hours before the test, and from drinking alcohol or doing any vigorous- or moderate-intensity activities for 48 h before the test. HRmax will be used to determine the training intensity for each participant. We will measure blood pressure prior to and during the test. Exercise will be terminated if participants are fatigued, or earlier if they fulfill the ACSM’s guidelines for ‘Indications for Terminating Exercise Testing’ [53]. CRF is defined as the highest recorded VO2 value (VO2max) after two of three criteria are met: (1) a plateau in VO2 after increase in workload, (2) a respiratory exchange ratio >1.10, and (3) a maximal HR within 10 bpm of their age-predicted maximum. Muscular fitness will be assessed using the hand-grip test (maximum hand-grip strength assessment) using a standard adjustable handle analogue hand-grip dynamometer T-18 TKK SMEDLY III® (Takei Scientific Instruments Co., Ltd, Niigata, Japan). Participants will be given a brief demonstration and verbal instructions for the test and, if necessary, the dynamometer will be adjusted according to the subject’s hand size according to predetermined protocols. Hand-grip strength will be assessed with the subject in a standing position with their shoulders adducted and neutrally rotated, and their arms parallel but not in contact with their body. The participants will be asked to squeeze the handle for a maximum of 3–5 s, but no verbal encouragement will be given during the test. Two trials will be allowed in each limb, and the average score will be recorded as peak hand-grip strength (kg). Thus, the values of hand-grip strength presented will combine the results of left- and right-handed subjects, without consideration of hand dominance. Hand-grip will be adjusted by allometric parameters defined by Jaric [54] (dynamometry/weight0.67). Strength in the eight exercises will be assessed at baseline and immediately after the intervention ends. A general warm-up consisting of riding a cycle ergometer for 5 min at a self-selected resistance will precede strength testing. Standardised procedures will be used to predict a one-rep max (1RM) from reps-to-fatigue barbell squats, dumbbell adductor squats, split squats, lateral adductor squat, biceps curls, dumbbell lateral shoulder raises, dumbbell military shoulder press, and dumbbell triceps curls from each participant’s performance during the preparatory training phase [55]. Progressive overload will be achieved by increasing the load when all prescribed repetitions (for a particular exercise) are achieved on two consecutive workouts [56].

Recent Physical Activity Questionnaire (RPAQ)

Self-reported physical activity is measured using the RPAQ. This assesses physical activity across four domains (domestic, recreational, work, commuting) over the previous month. It has shown moderate-to-high reliability for physical activity energy expenditure and good validity for ranking individuals according to their time spent in vigorous intensity physical activity and overall physical activity energy expenditure [57].

Health-related quality of life (HRQL)

HRQL will be measured by the SF Community - short-form survey (SF-12™) Colombian version for physical and mental domains’ summary scores and eight subscales (including vitality) [58]. The internal consistency of the HRQL items is moderate (Cronbach’s alpha = 0.70).

Sociodemographic information

Baseline sociodemographic values, which could act as covariates or confounds for the tested treatment modality, will also be collected. The surveys will include questions on age, education, occupation, income, health history, and alcohol consumption, among others.

Dietary assessment

To determine the average habitual energy and macronutrient intake, a detailed 24-h diet record will be obtained from all subjects 1 weekday and 1 weekend day during the 1-week baseline period. The Food Intake Analysis Software (FAO/INFOODS, Report of the Technical Workshop on Standards for Food Composition Data Interchange, Rome 2004) and national food composition tables (for specific foods) will be used to analyse total energy and macronutrient intake of each subject’s 24-h diet.

Side effects and monitoring

The study will be conducted according to good clinical practice and standard operating procedures. It will be monitored by the Human Rights Committee at the Universidad Manuela Beltrán Coordinating Centre composed of experts in physical exercise, sports medicine, physical therapists, physical educators and clinical epidemiologists. Interim monitoring reports will be submitted to the experts, focusing on patient intake, adherence to the protocol, baseline comparability of treatment groups, completeness of data retrieval, and adverse events. All adverse events will also be reported to the Universidad Manuela Beltrán Ethics Committee. To standardise the study procedures, an operations manual has been written, and comprehensive training sessions will be held prior to the initiation of the trial. An independent researcher will be in charge of auditing all assessment staff to record all of these events for the participants over the study period.

Power calculation and sample size

The aim of this study is to obtain data on the effects of HIIT, RT or combined training that will result in similar improvements in cardiometabolic health compared to the usual clinical care group. The measurement of FMD, validated in several population studies, was selected as the critical variable to calculate the sample size [59, 60]. To calculate the required sample size, we will use the formula for the comparison of two means:\( n={\left[A+B\right]}^2\times 2\times S{D}^2/DIF{F}^2, \) where n = the sample size required in each group, SD = standard deviation of the outcome variable, and DIFF = size of desired difference between groups. A and B depend on the desired significance level and desired power, respectively. Using estimates obtained from the literature [59, 60] and our previously performed study [61, 62], a sample size of 12 subjects in each group will be needed to reach a power of 80 % to detect a difference in means in the FMD of 2 % in the FMD after 12 weeks of training, assuming a SD of 2.7 using a two-sample t test with a 0.05 two-sided significance level. Assuming a drop-out rate of 15 %, the total minimal sample size has been increased to 15 subjects for each group. We believe that this sample size is feasible and realistic based on our previous experiences in RCTs [33, 34, 59, 60, 63, 64].

Statistical analyses

The final data will be analysed using IBM SPSS 22.0 (SPSS, Inc., Chicago, IL, USA) and SAS software (SAS Institute Inc., Cary, NC, USA). An exploratory analysis will be performed to determine the frequency, range, variability, and distribution type for each variable to use the most appropriate statistical test when comparisons will be necessary. These analyses permit the assessment of the primary analysis of the data and will be undertaken using the principle of intention-to-treat (ITT). The ITT analysis for this study will include all participants, including those who are not fully compliant and those with missing outcome data. Because this is an experimental design with two measures of the primary and secondary outcomes, the first at baseline x0 (t0 = weeks) and the second after interventions x1 (t1 = 12 weeks) in four study groups, a comparative analysis between these measures to establish differences will be executed. To perform these comparisons, one-way ANOVA or Kruskal-Wallis tests will be applied when appropriate. Subsequently, a multivariate analysis will be carried out, and the autocorrelation between repeated measures will be taken into account. We will use longitudinal analysis methods, such as a generalised estimating equation approach, to control the differences among measures at baseline and to incorporate incomplete observations into this analysis. Finally, we will investigate if there is an interaction between the two interventions for the primary outcome at 12 weeks of supervised training HIIT, RT or combined training (HIIT + RT). For these analyses, we will include appropriate interaction terms in the models [38, 65]. The trial is not powered to detect these interactions and is likely to have poor precision for the interaction terms. We plan to report regression coefficients for the interaction terms and their 95 % confidence intervals. However, we aim to recruit 15 participants per group (a total of 60) to accommodate for a 20 % attrition rate and elimination due to non-compliance.


We will disseminate the results of our study via presentations at international conferences and publications in peer-reviewed journals. The study will be implemented and reported in line with Standard Protocol Items for Randomised Trials [66] Additional file 1.


This protocol describes a study in which we will compare the effects of 12 weeks of HIIT, RT or combined training on improvements in body composition, endothelial function, blood pressure, blood lipids, and cardiovascular fitness in a cohort of sedentary, overweight adults (aged 30–50 years).

Latin American countries are experiencing different stages of nutrition transition. Although the prevalence of undernutrition is declining at different rates, the prevalence of overweight is dramatically increasing [67]. In addition, physical inactivity and sedentary lifestyles are also a preventable behaviour associated with obesity, but the evidence on this issue remains mixed [68], and the results might not be generalisable to all world regions [69]. Thus, determining whether HIIT + RT can be a viable public health approach to improve cardiometabolic health is warranted, particularly given a recent finding that HIIT added to plyometric exercise is more consistently associated with improvements in metabolic abnormalities than HIIT alone.

We believe that our trial could help to determine which type of programme better improves the cardiometabolic health of overweight adults and makes more efficient use of an adult’s resources over time. In summary, the primary objective of the trial is to contribute to the growing body of literature about physical exercise interventions and cardiometabolic health among sedentary, overweight adults living in Bogotá, which will be useful for designing innovative and time-efficient preventive measures among the Colombian population.

Trial status

The Cardiometabolic HIIT-RT Study began recruiting patients in March 2016 and will close recruitment in October 2016. Data collection will be completed in June 2017.


AIx, augmentation index; AIxao, aortic augmentation index; AIxbr, brachial augmentation index; BMI, body mass index; CRF, cardiorespiratory fitness; cSBP, central systolic blood pressure; CVD, cardiovascular diseases; DEXA, dual-energy x-ray absorptiometry scan; FMD, flow-mediated dilatation; HbA1c, haemoglobin A1C; HDL-c, high-density lipoprotein cholesterol; HIIT, high-intensity interval training; HRmax, maximum heart rate; HRQL, health-related quality of life; IFIS, International Fitness Scale; ISAK, International Society for the Advancement of Kinanthropometry; LDL-c, low-density lipoprotein cholesterol; MET, metabolic equivalents; MICT, moderate-intensity continuous training; PWV, aortic pulse wave velocity; PWV, pulse wave velocity; RPAQ, Recent Physical Activity Questionnaire; RT, resistance training; SF-12™ SF Community - short-form survey; VO2max, maximal oxygen uptake; WC, waist circumference


  1. 1.

    Selassie M, Sinha AC. The epidemiology and aetiology of obesity: a global challenge. Best Pract Res Clin Anaesthesiol. 2011;25:1–9.

    Article  PubMed  Google Scholar 

  2. 2.

    Saydah S, Bullard KM, Cheng Y, et al. Trends in cardiovascular disease risk factors by obesity level in adults in the United States, NHANES 1999-2010. Obesity (Silver Spring). 2014;22:1888–95.

    CAS  Article  Google Scholar 

  3. 3.

    Kaplan RC, Avilés-Santa ML, Parrinello CM, et al. Body mass index, sex, and cardiovascular disease risk factors among Hispanic/Latino adults: Hispanic community health study/study of Latinos. J Am Heart Assoc. 2014;3(4).

  4. 4.

    von Eyben FE, Mouritsen E, Holm J, et al. Intra-abdominal obesity and metabolic risk factors: a study of young adults. Int J Obes. 2003;27:941–9.

    Article  Google Scholar 

  5. 5.

    Kagawa M, Byrne NM, Hills AP. Comparison of body fat estimation using waist:height ratio using different ‘waist’ measurements in Australian adults. Br J Nutr. 2008;100:1135–41.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation on Obesity, 3–5 June 1997, Geneva, WHO/NUT/NCD/98.1. Geneva: WHO; 1998.

  7. 7.

    Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of the Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001;285:2486–97.

  8. 8.

    Despres JP. Body fat distribution and risk of cardiovascular disease: an update. Circulation. 2012;126:1301–13.

    Article  PubMed  Google Scholar 

  9. 9.

    Kaur JA. Comprehensive review on metabolic syndrome. Cardiol Res Pract. 2014;2014:943162.

    PubMed  PubMed Central  Google Scholar 

  10. 10.

    Lemieux I, Lamarche B, Couillard C, et al. Total cholesterol/HDL cholesterol ratio vs LDL cholesterol/HDL cholesterol ratio as indices of ischemic heart disease risk in men: the Quebec Cardiovascular Study. Arch Intern Med. 2001;161:2685–92.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Gander JC, Sui X, Hébert JR, et al. Association of cardiorespiratory fitness with coronary heart disease in asymptomatic men. Mayo Clin Proc. 2015;90:1372–9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Kokkinos P, Myers J. Exercise and physical activity: clinical outcomes and applications. Circulation. 2010;122:1637–48.

    Article  PubMed  Google Scholar 

  13. 13.

    Pedersen BK, Saltin B. Exercise as medicine—evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand J Med Sci Sports. 2015;25:1–72.

    Article  PubMed  Google Scholar 

  14. 14.

    Li T, Wei S, Shi Y, et al. The dose-response effect of physical activity on cancer mortality: findings from 71 prospective cohort studies. Br J Sports Med. 2016;50:339–45.

    Article  PubMed  Google Scholar 

  15. 15.

    Henkel K, Reimers CD, Knapp G, et al. Physical training for neurological and mental diseases. Nervenarzt. 2014;85:1521–8.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    World Health Organization (WHO). Global strategy on diet, physical activity and health. Available from: Accessed Mar 2016.

  17. 17.

    US Department of Health and Human Services. Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report. Washington DC: 2008:683. Available from: Accessed Jan 2016.

  18. 18.

    Ramos JS, Dalleck LC, Tjonna AE, et al. The impact of high-intensity interval training versus moderate-intensity continuous training on vascular function: a systematic review and meta-analysis. Sports Med. 2015;45:679–92.

    Article  PubMed  Google Scholar 

  19. 19.

    Dyakova EY, Kapilevich LV, Shylko VG, et al. Physical exercise associated with NO production: signaling pathways and significance in health and disease. Front Cell Dev Biol. 2015;3:19.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Oudegeest-Sander MH, Thijssen DH, Smits P, et al. Association of fitness level with cardiovascular risk and vascular function in older non exercising individuals. J Aging Phys Act. 2015;23:417–24.

    Article  PubMed  Google Scholar 

  21. 21.

    Lavie CJ, Arena R, Swift DL, et al. Exercise and the cardiovascular system: clinical science and cardiovascular outcomes. Circ Res. 2015;117:207–19.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Gibala MJ, Little JP, Macdonald MJ, et al. Physiological adaptations to low-volume, high-intensity interval training in health and disease. J Physiol. 2012;590:1077–84.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Gibala MJ, Little JP, van Essen M, et al. Short‐term sprint interval versus traditional endurance training: similar initial adaptations in human skeletal muscle and exercise performance. J Physiol. 2006;575:901–11.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Weston KS, Wisløff U, Coombes JS. High-intensity interval training in patients with lifestyle-induced cardiometabolic disease: a systematic review and meta-analysis. Brit J Sport Med. 2013;48:1227–34.

    Article  Google Scholar 

  25. 25.

    Gibala M. Molecular responses to high-intensity interval exercise. Appl Physiol Nutr Metab. 2009;34:428–32.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Biddle SJ, Batterham AM. High-intensity interval exercise training for public health: a big HIT or shall we HIT it on the head? Int J Behav Nutr Phys Act. 2015;12:95.

    Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Montero D, Vinet A, Roberts CK. Effect of combined aerobic and resistance training versus aerobic training on arterial stiffness. Int J Cardiol. 2015;178:69–76.

    Article  PubMed  Google Scholar 

  28. 28.

    Racil G, Zouhal H, Elmontassar W, et al. Plyometric exercise combined with high-intensity interval training improves metabolic abnormalities in young obese females more so than interval training alone. Appl Physiol Nutr Metab. 2015;41:103–9.

    Article  PubMed  Google Scholar 

  29. 29.

    Ho SS, Dhaliwal SS, Hills AP, et al. The effect of 12 weeks of aerobic, resistance or combination exercise training on cardiovascular risk factors in the overweight and obese in a randomized trial. BMC Public Health. 2012;12:704.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Departamento Administrativo Nacional de Estadística (DANE). Los grupos étnicos de Colombia en el censo de 2005. Bogotá: Análisis de Resultados; 2007. p. 25–6.

    Google Scholar 

  31. 31.

    Lloyd-Jones DM, Hong Y, Labarthe D, American Heart Association Strategic Planning Task Force and Statistics Committee. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association’s Strategic Impact Goal through 2020 and beyond. Circulation. 2010;121:586–613.

    Article  PubMed  Google Scholar 

  32. 32.

    Instituto Colombiano del Deporte. Programa Nacional de Actividad Física: Colombia Activa y Saludable. Available from: Disponible en: Accessed Jan 2016.

  33. 33.

    Izquierdo M, Häkkinen K, Ibáñez J, et al. Effects of combined resistance and cardiovascular training on strength, power, muscle cross-sectional area, and endurance markers in middle-aged men. Eur J Appl Physiol. 2005;94:70–5.

    Article  PubMed  Google Scholar 

  34. 34.

    Ibañez J, Izquierdo M, Argüelles I, Forga L, Larrión JL, García-Unciti M, et al. Twice-weekly progressive resistance training decreases abdominal fat and improves insulin sensitivity in older men with type 2 diabetes. Diabetes Care. 2005;28:662–7.

    Article  PubMed  Google Scholar 

  35. 35.

    Swinburn BA, Caterson I, Seidell JC, James WP. Diet, nutrition and the prevention of excess weight gain and obesity. Public Health Nutr. 2004;7:123–46.

    CAS  PubMed  Google Scholar 

  36. 36.

    Ramírez-Vélez R. Postprandial lipemia induces endothelial dysfunction and higher insulin resistance in healthy subjects. Endocrinol Nutr. 2011;58:529–35.

    Article  PubMed  Google Scholar 

  37. 37.

    Corretti MC, Anderson TJ, Benjamin EJ, International Brachial Artery Reactivity Task Force. International brachial artery reactivity task force. Guidelines for the ultrasound assessment of endothelial-dependent flow-mediated vasodilation of the brachial artery: a report of the international brachial artery reactivity task force. J Am Coll Cardiol. 2002;39:257–65.

    Article  PubMed  Google Scholar 

  38. 38.

    Ramírez-Vélez R, Romero M, Echeverri I, et al. A factorial randomized controlled trial to evaluate the effect of micronutrients supplementation and regular aerobic exercise on maternal endothelium-dependent vasodilatation and oxidative stress of the newborn. Trials. 2011;12:60.

    Article  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Ramírez-Vélez R, Aguilar AC, Mosquera M, et al. Clinical trial to assess the effect of physical exercise on endothelial function and insulin resistance in pregnant women. Trials. 2009;10:104.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Malik M, Bigger J, Camm A, et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996;17:354–81.

    Article  Google Scholar 

  41. 41.

    Ring M, Eriksson MJ, Zierath JR, et al. Arterial stiffness estimation in healthy subjects: a validation of oscillometric (Arteriograph) and tonometric (SphygmoCor) techniques. Hypertens Res. 2014;37:999–1007.

    Article  PubMed  Google Scholar 

  42. 42.

    Topouchian JA, El Assaad MA, Orobinskaia LV, et al. Validation of two automatic devices for self-measurement of blood pressure according to the International Protocol of the European Society of Hypertension: the Omron M6 (HEM-7001-E) and the Omron R7 (HEM 637-IT). Blood Press Monit. 2006;11:165–71.

    Article  PubMed  Google Scholar 

  43. 43.

    Marfell-Jones M, Olds T, Stewart A. International standards for anthropometric assessment. Potchefstroom: ISAK; 2006.

    Google Scholar 

  44. 44.

    Ring EFJ, Ammer K. The technique of infra red imaging in medicine. Thermol Int. 2000;10:7–14.

    Google Scholar 

  45. 45.

    Available from: Accessed Jan 2016.

  46. 46.

    Álvarez-Gallardo IC, Soriano-Maldonado A, Segura-Jiménez V, et al. International FItness Scale (IFIS): construct validity and reliability in women with fibromyalgia: The al-Ándalus Project. Arch Phys Med Rehabil. 2016;97:395–404.

    Article  PubMed  Google Scholar 

  47. 47.

    Español-Moya MN, Ramírez-Vélez R. Psychometric validation of the International FItness Scale (IFIS) in Colombian youth. Rev Esp Salud Publica. 2014;88:271–8.

    Article  PubMed  Google Scholar 

  48. 48.

    Ortega FB, Sánchez-López M, Solera-Martínez M, et al. Self-reported and measured cardiorespiratory fitness similarly predict cardiovascular disease risk in young adults. Scand J Med Sci Sports. 2013;23(6):749–57.

    CAS  Article  PubMed  Google Scholar 

  49. 49.

    Balke B, Ware RW. An experimental study of physical fitness of Air Force personnel. U S Armed Forces Med J. 1959;10:675–88.

    CAS  PubMed  Google Scholar 

  50. 50.

    Barry VW, Baruth M, Beets MW, et al. Fitness vs. fatness on all-cause mortality: a meta-analysis. Prog Cardiovasc Dis. 2014;56:382–90.

    Article  PubMed  Google Scholar 

  51. 51.

    Edvardsen E, Scient C, Hansen BH, et al. Reference values for cardiorespiratory response and fitness on the treadmill in a 20- to 85-year-old population. Chest. 2013;144:241–8.

    Article  PubMed  Google Scholar 

  52. 52.

    Marinov B, Kostianev S, Turnovska T. Modified treadmill protocol for evaluation of physical fitness in pediatric age group-comparison with Bruce and Balke protocols. Acta Physiol Pharmacol Bulg. 2003;27:47–51.

    CAS  PubMed  Google Scholar 

  53. 53.

    American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription. 8th ed. Baltimore: Wolters Kluwer; 2010.

    Google Scholar 

  54. 54.

    Jaric S, Mirkov D, Markovic G. Normalizing physical performance tests for body size: a proposal for standardization. J Strength Cond Res. 2005;19:467–74.

    PubMed  Google Scholar 

  55. 55.

    Brzycki M. Strength testing—predicting a one-rep max from reps-to-fatigue. J Phys Educ Recreat Dance. 1993;64:88–90.

    Article  Google Scholar 

  56. 56.

    Mangine GT, Hoffman JR, Gonzalez AM, et al. The effect of training volume and intensity on improvements in muscular strength and size in resistance-trained men. Physiol Rep. 2015;3:e12472.

    Article  PubMed  PubMed Central  Google Scholar 

  57. 57.

    Besson H, Brage S, Jakes RW, et al. Estimating physical activity energy expenditure, sedentary time, and physical activity intensity by self-report in adults. Am J Clin Nutr. 2010;91:106–14.

    CAS  Article  PubMed  Google Scholar 

  58. 58.

    Ramírez-Vélez R, Agredo-Zuñiga RA, Jerez-Valderrama AM. The reliability of preliminary normative values from the short form health survey (SF-12) questionnaire regarding Colombian adults. Rev Salud Publica (Bogota). 2010;12:807–19.

    Google Scholar 

  59. 59.

    Hashimoto M, Akishita M, Eto M, et al. The impairment of flow-mediated vasodilatation in obese men with visceral fat accumulation. Int J Obes Relat Metab Disord. 1998;22:477–84.

    CAS  Article  PubMed  Google Scholar 

  60. 60.

    Hashimoto M, Kozaki K, Eto M, et al. Association of coronary risk factors and endothelium-dependent flow-mediated dilatation of the brachial artery. Hypertens Res. 2000;23:233–8.

    CAS  Article  PubMed  Google Scholar 

  61. 61.

    Ramírez-Velez R, Aguilar de Plata AC, Hernán Ramirez J. Physiological changes in endothelial function following vigorous exercise. Rev Clin Esp. 2010;210:420–1.

    Article  PubMed  Google Scholar 

  62. 62.

    Ramírez-Vélez R, Aguilar de Plata AC, Escudero MM, et al. Influence of regular aerobic exercise on endothelium-dependent vasodilation and cardiorespiratory fitness in pregnant women. J Obstet Gynaecol Res. 2011;37:1601–8.

    Article  PubMed  Google Scholar 

  63. 63.

    Idoate F, Ibañez J, Gorostiaga EM, et al. Weight-loss diet alone or combined with resistance training induces different regional visceral fat changes in obese women. Int J Obes (Lond). 2011;35:700–13.

    CAS  Article  Google Scholar 

  64. 64.

    Ibáñez J, Izquierdo M, Martínez-Labari C, et al. Resistance training improves cardiovascular risk factors in obese women despite a significative decrease in serum adiponectin levels. Obesity (Silver Spring). 2010;18:535–41.

    Article  Google Scholar 

  65. 65.

    Kleinbaum DG, Kupper LL, Muller KE, Nizam A. Applied regression analysis and other multivariable methods. Pacific Grove: Dubury Press; 1998.

    Google Scholar 

  66. 66.

    Chan AW, Tetzlaff JM, Gøtzsche PC, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586.

    Article  PubMed  PubMed Central  Google Scholar 

  67. 67.

    Rivera JA, Barquera S, Gonzalez-Cossio T, et al. Nutrition transition in Mexico and in other Latin American countries. Nutr Rev. 2004;62:S149–57.

    Article  PubMed  Google Scholar 

  68. 68.

    Fisberg M, Kovalskys I, Gómez G, ELANS Study Group. Latin American Study of Nutrition and Health (ELANS): rationale and study design. BMC Public Health. 2016;16:93.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  69. 69.

    Kohl 3rd HW, Craig CL, Lambert EV, Lancet Physical Activity Series Working Group. The pandemic of physical inactivity: global action for public health. Lancet. 2012;380:294–305.

    Article  PubMed  Google Scholar 

Download references


This study is supported by FIUR (Code QDN-BG-001) from the Universidad del Rosario. The funding source has no role in study design; in data collection, analysis and interpretation; in the writing of the report; or in the decision to submit the paper for publication.

Availability of supporting data

The study data have legal and ethical restrictions imposed by the authors’ IRB (Manuela Beltran University).

Contact for the raw data: Study details of data access/requests UMB

The initial contact point for collaborations is Professor Robinson Ramirez-Velez (Email:

References (for data access arrangements)

Centro de Estudios en Medición de la Actividad Física (CEMA)

Escuela de Medicina y Ciencias de la Salud

Universidad del Rosario

Bogotá, D.C, Colombia

Address: Cra. 24 No. 63C-69

Phone: +57-(1)-2970200

Authors’ contributions

RR-V conceived of the design of the study and drafted the manuscript. AH and KG-R helped to draft the manuscript. KC, AT-S, JEC-B, AG-H and MI participated in the design of the study and helped to draft the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

I have obtained consent to publish and to report individual patient data from the participants.

Ethics approval and consent to participate

Prior to the study, researchers and field practitioners performed ten theoretical and practical sessions to standardise the evaluation process and to minimise inter-observer variability. A comprehensive verbal description of the nature and purpose of the study will be given to the participants. The study’s health professional is responsible for ensuring that the subject understands the potential risks and benefits of participating in the study. All participants will provide written informed consent before entering the study. The study will be conducted according to the ethical standards established in the 1961 Declaration of Helsinki (as revised in Hong Kong in 1989 and in Edinburgh, Scotland, in 2000) and Colombian Health Authorities under the Law of Data Protection (Resolution 8430/93). The appropriate signatures and dates on the informed consent form must be obtained before administration of the intervention. The Research Ethics Review Board at the University of Manuela Beltrán approved the survey protocol (Code N° 06-1006-2014, Resolución 8430 de 1993; Ministerio de Salud de Colombia).

Author information



Corresponding author

Correspondence to Robinson Ramírez-Vélez.

Additional file

Additional file 1:

SPIRIT 2013 Checklist: recommended items to address in a clinical trial protocol and related documents. (DOC 122 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ramírez-Vélez, R., Hernandez, A., Castro, K. et al. High Intensity Interval- vs Resistance or Combined- Training for Improving Cardiometabolic Health in Overweight Adults (Cardiometabolic HIIT-RT Study): study protocol for a randomised controlled trial. Trials 17, 298 (2016).

Download citation


  • Exercise
  • Risk factor
  • Cardiovascular disease
  • Overweight