Skip to main content

Influence of upper-body continuous, resistance or high-intensity interval training (CRIT) on postprandial responses in persons with spinal cord injury: study protocol for a randomised controlled trial

Abstract

Background

Chronic spinal cord injury (SCI) increases morbidity and mortality associated with cardiometabolic diseases, secondary to increases in central adiposity, hyperlipidaemia and impaired glucose tolerance. While upper-body Moderate Intensity Continuous Training (MICT) improves cardiorespiratory fitness, its effects on cardiometabolic component risks in adults with SCI appear relatively modest. The aim of this study is to assess the acute effects of Continuous Resistance Training (CRT), High Intensity Interval Training (HIIT), MICT and rest (CON) on fasting and postprandial systemic biomarkers and substrate utilisation.

Methods

Eleven healthy, chronic SCI (> 1 year, ASIA A-C) men will be recruited. Following preliminary testing, each will complete four experimental conditions, where they will report to the laboratory following an ~ 10-h overnight fast. A venous blood sample will be drawn and expired gases collected to estimate resting metabolic rate (RMR). In order to ensure an isocaloric exercise challenge, each will complete CRT first, with the remaining three conditions presented in randomised order: (1) CRT, ~ 45 min of resistance manoeuvres (weight lifting) interspersed with low-resistance, high-speed arm-crank exercise; (2) CON, seated rest; (3) MICT, ~ 45 min constant arm-crank exercise at a resistance equivalent to 30–40% peak power output (PPO) and; (4) HIIT, ~ 35 min arm-crank exercise with the resistance alternating every 2 min between 10% PPO and 70% PPO. After each ~ 45-min condition, participants will ingest a 2510-kJ liquid test meal (35% fat, 50% carbohydrate, 15% protein). Venous blood and expired gas samples will be collected at the end of exercise and at regular intervals for 120 min post meal.

Discussion

This study should establish the acute effects of different forms of exercise on fasting and postprandial responses in chronic SCI male patients. Measures of glucose clearance, insulin sensitivity, lipid and inflammatory biomarker concentrations will be assessed and changes in whole-body substrate oxidation estimated from expired gases.

Trial registration

ClinicalTrials.gov, ID: NCT03545867. Retrospectively registered on 1 June 2018. 

Peer Review reports

Background

Chronic spinal cord injury (SCI) increases morbidity and mortality associated with cardiovascular [1] and metabolic diseases [2]. These clinical outcomes are preceded by a higher prevalence of known risk factors including central adiposity [3], hyperlipidaemia [4] and impaired glucose tolerance [5]. These elevated risks are not restricted to persons with SCI, but also affect the broader disabled population. Persons with a range of physical disabilities demonstrate a 1.2- to 3.9-fold higher prevalence of obesity than those without a physical disability [6]. It seems intuitive to suggest that this elevated prevalence of cardiometabolic component risks is, at least in part, associated with the Disability-Associated Low Energy Expenditure Deconditioning Syndrome (DALEEDS), first described by Rimmer et al. [7].

Therapeutic benefits of exercise training

Traditional forms of Moderate Intensity Continuous Training (MICT) can provide some therapeutic benefits and reduce some components of cardiometabolic risk in persons with SCI [8]. Sixteen weeks of upper-body MICT, with minimal resistance training, reduces total body fat mass and visceral adipose tissue content in persons with SCI [9]. While just 6 weeks of MICT can also enhance fasting markers of hepatic insulin sensitivity in persons with paraplegia, the effects on postprandial markers of peripheral insulin sensitivity are negligible [10]. Indeed, neither of these training studies were able to demonstrate a significant benefit of MICT on cardiometabolic components related to postprandial insulin sensitivity, hyperlipidaemia or systemic inflammation. This has led to a call for high-quality randomised controlled trials to assess the efficacy of higher-intensity forms of exercise and assess the acute post-exerciseresponses in systemic biomarkers and energy homeostasis and to novel exercise challenges [11]. Currently, relatively little is known about the acute regulation of energy homeostasis at rest, during or post exercise in the SCI population.

Acute metabolic responses to exercise in SCI

When compared to non-injured controls performing voluntary leg exercise, persons with SCI have markedly reduced mobilisation, delivery, and limb uptake of free fatty acids (FFA) during electrically stimulated leg exercise [12]. This is most likely the result of reduced sympathoadrenal β-adrenergic stimulation and/or limited neural activity in motor centers and afferent nerves from contracting skeletal muscles, depending on the level of injury [12]. The limited availability of FFA during exercise leads to a heavy reliance on carbohydrate (CHO), with a concomitant limited contribution from fat as a fuel source [13, 14]. These observations appear consistent across a variety of modes and intensities of exercise [15, 16]. Increased reliance on carbohydrate as a fuel source during exercise may affect the metabolic handling of systemic glucose and lipids, both during and post exercise.

Energy expenditure in persons with SCI

In non-injured individuals, human energy expenditure (EE) is elevated during recovery from exercise [17]. These increases in EE occur in a dose-dependent manner, which is predominantly related to exercise intensity and modality, as opposed to exercise duration [17]. Only three studies have compared changes in EE following isocaloric arm and leg cycling in non-injured humans and have demonstrated only modest increases in post-exercise EE in response to arm cycling [18,19,20]. Arm cycling resulted in a lower cumulative post-exercise EE compared to isocaloric leg cycling [19], suggesting that upper-extremity exercise per se has a limited ability to elevate post-exercise EE. Only one study has examined these responses to arm cycling in persons with SCI [21], demonstrating only a modest increase in post-exercise EE, which was similar to that observed in non-injured humans. This may reflect a reduced ability of the upper-body skeletal muscles to tolerate sustained anaerobic metabolism and accumulate oxygen debt. However, it remains to be determined if exercise mode and/or intensity have the ability to modulate post-exercise EE in persons with SCI.

Substrate metabolism in persons with SCI

Associated with the increases in EE at rest, both CHO [22] and fat oxidation rates [23,24,25] are significantly increased during recovery from exercise. This effect of exercise on substrate partitioning occurs in a manner dependent more on the total energy cost of exercise and less on exercise intensity or metabolic rate [23]. While the increase in post-exercise fat oxidation has been demonstrated in non-injured humans [20], to date, no studies have examined this response in persons with SCI. Our pilot data [26] demonstrate that fat oxidation is elevated for at least 120 min following ~ 50 min of circuit resistance training (Continuous Resistance Training; CRT) in persons with SCI.

Postprandial responses in persons with SCI

Several studies in persons with SCI have reported exaggerated postprandial lipaemia (PPL) [27, 28] and glycaemia (PPG) [29], which is of some concern, as such chronically elevated responses are component risks for cardiometabolic disease [30]. In persons without SCI, a juxta-meal exercise bout has a dramatic effect on the metabolic handling and disposal of macronutrients from a meal. Specific to CHO and fat disposal, pre-meal exercise attenuates PPL [25] and PPG [22] even in persons with known disorders of energy homeostasis [22, 29]. Interestingly, both exercise modality [17, 24] and intensity [17, 31] have been shown to modify the effect of exercise on post-exercise energy homeostasis, independent of exercise-related EE. However, to our knowledge, no studies have examined the acute effects of different forms of exercise on postprandial systemic metabolite, hormone or biomarker concentrations or whole-body substrate oxidation rates in persons with SCI.

Objectives

In summary, it is currently unknown whether, in persons with SCI, the mode or intensity of pre-meal exercise influences the metabolic handling and oxidation of macronutrients. The objectives of the proposed study are, therefore, to compare the effects of resting as control (CON), Moderate Intensity Continuous Training (MICT), High Intensity Interval Training (HIIT) and Continuous Resistance Training (CRT) on:

  1. 1)

    Fasting systemic concentrations of metabolites, hormones and relevant inflammatory biomarkers

  2. 2)

    Postprandial systemic concentrations of metabolites, hormones and relevant inflammatory biomarkers

  3. 3)

    Postprandial EE and whole-body substrate oxidation rates

The central hypotheses were that higher-intensity, intermittent upper-body exercise (i.e. HIIT and CRT) will enhance measures of fasting and postprandial insulin sensitivity and fasting triglyceride concentrations, compared to moderate-intensity exercise (MICT) or rest (CON).

Methods/design

Study design

This study is a partially randomised, repeated-measures, counter-balanced, crossover design. Participants will attend two preliminary sessions including baseline assessments and a HIIT familiarisation session before completing the four experimental conditions. Each participant will complete the CRT condition first in order that the intensity and/or duration of the HIIT and MICT protocols can be adjusted to deliver an isocaloric exercise challenge. The CON, MICT and HIIT conditions will be completed in a randomised order, at least 3 days apart. The planned experimental design is summarised below (Fig. 1) and is consistent with current Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines [32, 33]. The study protocol has been approved by the Human Subjects Research Office, Miller School of Medicine, University of Miami (Institutional Review Board No. 20171114, Version 3, dated 5 February 2018) and the trial has been registered as a current controlled trial (ClinicalTrials.gov, ID: NCT03545867 on 1 June 2018).

Fig. 1
figure 1

Study flow diagram demonstrating the order of recruitment, testing and main trial procedures

Study setting

All human testing will take place in the Lois Pope Life Center at the Miami Project to Cure Paralysis at the University of Miami’s Miller School of Medicine. All biochemical analyses will take place at the Diabetes Research Institute, Division of Endocrinology, Diabetes and Metabolism at the University of Miami Miller School of Medicine.

Recruitment

It has been reported that participant recruitment to research studies, especially in the absence of direct access to a clinical population, requires considerably more resources and time than initially anticipated in order to achieve adequate enrolment [34]. Patient barriers are reported to include [35]: (1) additional demands of the trial increasing participant burden and (2) patient preferences for or against a particular treatment. Barriers to research participation are perhaps even more exaggerated for people with disabilities due to complex health problems [36], lack of transportation [37], cognitive impairments and financial stress [38].

In order to overcome some of these barriers and challenges, The Miami Project maintains and supports the running of a clinical exercise programme, where individuals with SCI who have volunteered to participate in a Miami Project study, can access a fully equipped gymnasium free-of-charge. Associated with this, a user database is maintained, containing basic descriptive information on persons with SCI who have volunteered to participate in previous studies and volunteered ongoing participation. Upon initial contact with individuals from this user community (i.e. email or telephone), the study will be described and those interested in enrolling will be asked to read a detailed participant information sheet and complete a health screening questionnaire. Interested individuals will be screened via a telephone conversation 48 h after their initial contact to ascertain eligibility. A focus will be placed on establishing a good rapport at this initial contact and also as participants progress through the enrolment process (Fig. 1). Written consent will be obtained during the initial laboratory visit and participants will be informed that they can withdraw from the study at any time without consequence. Participants will be paid for their participation in this study, following completion of all assessments. This is primarily designed to reimburse travel expenses and thank them for any inconvenience caused.

Randomisation

After completion of baseline laboratory testing, the HIIT familiarisation and the CRT condition, participants will complete the remaining three experimental conditions in random order. Randomisation will be performed by an independent senior researcher (MN) using a list generated with a web-based platform (http://www.randomization.com), concealed from those involved in participant management (DM, JM and JB) to prevent biased allocation [39, 40].

Participants

To address our hypothesis, a cohort of 10 healthy men with chronic SCI, who satisfy the inclusion and exclusion criteria outlined below, will be recruited via advertisement and direct contact with the local SCI community.

Inclusion criteria: (1) Male; (2) Aged ≥ 18 years old; (3) Neurologically stable SCI (ASIA Impairment Scale A-C) at T6 and lower spinal levels for > 1 year; (4) Able and willing to comply with study procedures; (5) Have the ability to understand written and spoken English; and (6) Have the capacity to provide informed consent.

Exclusion criteria: (1) Female; (2) Aged < 18 years; (3) Contraindication to exercise (ACSM Guideline, 10th edition); (4) Lower-extremity fracture or dislocation within 6 months of participation; (5) History of head injury or seizures; (6) Inability to provide informed consent; (7) Restrictions in upper-extremity range of motion that would prevent an individual from achieving an unhindered arm cycling motion or moving throughout a range needed to perform resistance manoeuvres; (8) Had a pressure ulcer at the ischial/gluteus, trochanteric, sacral or heel sites within the last 3 months; (9) Imprisonment in state or federal jail or prison; (10) Taking any medication that might interfere with the study outcomes (this will be reviewed by the research team on a case-by-case basis should a potential participant be on regular medication. The British National Formulary will be checked for potential effects that might introduce bias in the study); and (11) Illness/condition that might interact with study measures (e.g. diabetes, heart disease) or pose undue personal risk.

Preliminary assessments

General

Participants’ cardiorespiratory fitness and muscular strength will be assessed using the procedures outlined below. Their descriptive characteristics (i.e. age, body mass) and basic injury characteristics will be recorded via self-report questionnaire. Following these assessments, the participants will schedule their remaining laboratory test days (outlined below). They will be instructed on how to record their normal daily diet on a ‘food log’ that will be completed the day prior to the first main trial (i.e. CRT). Before each of the following three trial days, participants will be provided with (1) a copy of their original food log and (2) a blank food log, and will be asked to reproduce this dietary intake to the best of their abilities, but to record on the new food log their actual dietary intake.

Arm-crank ergometry (ACE) cardiorespiratory fitness testing

Cardiorespiratory fitness (V̇O2 peak) will be assessed during a graded exercise test (GXT). Participants will refrain from exercise/alcohol/caffeine for 24 h prior to testing and perform a continuous GXT on an electrically braked arm-crank ergometer (Lode Angio, Groningen, Netherlands) at a constant cadence of 60 ± 5 rpm. A digital display will provide real-time feedback on cadence. Every 3 min, resistance will increase by 20 W (W). Participants will continue until volitional exhaustion manifesting as either a non-verbal communication of the desire to stop or an inability to maintain cadence above 55 rpm. Upon cessation, participants will rest quietly for 10 min. Prior to each test, a staff member will interview the participant to determine the individualised wattage starting work rate and increments to target a V̇O2 peak (i.e. volitional exhaustion) within 9–15 min. Starting loads will range from 0–50 W, with smaller loads for sedentary individuals. This approach is consistent with the American College of Sports Medicine’s Guidelines for Exercise Testing and Prescription (10th edition) recommendation that starting loads and increments be individualised to the participant’s perceived functional capacity [41]. Expired gases will be continuously collected in a Hans-Rudolph Softmask worn by the participant and analysed by a portable open-circuit indirect calorimetry system (Oxycon Mobile, Viasys, Inc., Conshohocken, PA, USA).

One-repetition maximum (1-RM) muscular strength testing

To determine the resistance levels assigned for the CRT trial, upper-extremity dynamic strength testing will be performed on a Helms equaliser 1000 multi-station exerciser (Helm Distributing, Polson, MT, USA) using the following manoeuvres: overhead press, horizontal row, vertical butterfly, biceps curl, latissimus pull down (either to the chest or neck) and dips. Participants will be instructed to perform eight repetitions of each manoeuvre, with each repetition lasting 6 s (3 s concentric, 3 s eccentric). If eight repetitions are completed in controlled fashion, the weight will be increased and the exercise repeated. Incremental increases in weight will be provided until eight controlled repetitions cannot be completed. The 1-repetition maximum (1-RM) will be calculated using previously published equations [42]:

$$ 1\hbox{-} RM= WT/\left( 0.533+ 0.419E\hbox{-} 0.055\ast REPS\right) $$
(1)

where ‘1-RM’ is the calculated 1-repetition maximum strength, ‘WT’ is the resistance used in the last set where more than three, but fewer than eight repetitions are completed, and ‘REPS’ equals the number of repetitions completed in the last set of testing.

HIIT familiarisation

During their second preliminary visit to the laboratory, participants will be fitted with a Hans-Rudolph Softmask and expired gases will be collected and analysed throughout exercise (as described above). Participants will conduct ~ 50 min of arm-crank ergometry (ACE) on the same device/position as described above during the GXT. The cycle ergometer will be programmed to vary power output so that a warm-up and cool-down (2 min) and the active recovery intervals will be completed at 10% peak power output (POpeak), and the working intervals completed at 70% POpeak. The ratio of work:recovery intervals will be 1:1. The EE data will later be used to calculate the duration of HIIT required to elicit an isocaloric challenge to CRT.

Main trials

The same experimental procedures will be completed on all four main trial days (Fig. 1). These procedures are also reflected in the Standardised Protocol Items: Recommendations for Interventional Trials (SPIRIT) Figure (Fig. 2). The associated SPIRIT Checklist is available online (Additional file 1). Twenty-four hours prior to each main laboratory trial, participants will abstain from caffeine (tea/coffee) and alcohol. On the morning of the main trials, participants will be instructed to consume ~ 10 ml.kg− 1 of water on waking and report to the laboratory at 0800 hours ± 0.5 h following an overnight fast (≥ 10 h). Following entry to the laboratory participants will be fitted with the mask for indirect calorimetry (as described above) and will remain seated prone in their wheelchair for ~ 10 min to assess resting EE (REE). Immediately after this, an initial 10-ml venous blood sample will be drawn. For the next ~ 50 min, expired gases and heart rate values will continue to be collected while the participants rest (CON) or exercise (MICT, HIIT or CRT). Immediately after this period, an indwelling cannula will be inserted in to an antecubital vein and kept patent with sterile saline. An initial sample will be drawn before participants consume a 600-kcal liquid meal test meal (35% fat, 50% CHO, 15% protein). Further 10-ml venous blood samples will be drawn at 0, 15, 30, 60, 90 and 120 min post meal. Expired gases will continue to be collected throughout the postprandial period.

Fig. 2
figure 2

Standardised Protocol Items: Recommendations for Interventional Trials (SPIRIT) Figure

Resting control (CON)

During the resting control (CON) condition, participants will remain seated in a prone position for 50 min. If they require the bathroom during this period, they will be pushed to and from the room and the time recorded.

Moderate Intensity Continuous Training (MICT)

Following baseline measurements, participants will conduct ~ 50 min of ACE on the same device/position as described above during the same electronically braked ergometer (Fig. 3a). The cycle ergometer will be programmed to provide a constant predetermined resistance equivalent to ~ 60% of the POpeak achieved during the GXT. The exact duration of the MICT trial will be calculated to deliver an isocaloric challenge that is equivalent to the CRT trial.

Fig. 3
figure 3

Images of a single participant completing the various elements of the exercise testing regimen: a arm-crank ergometry. b military press. c horizontal row. d pectoralis (‘pec’) deck. e preacher curl. f wide-grip latissimus pull-down. g seated dip

High Intensity Interval Training (HIIT)

Following baseline measurements, participants will conduct ~ 50 min of ACE on the same electronically braked ergometer (Fig. 3a). The cycle ergometer will be programmed to vary the resistance to produce a power output for the warm-up, cool-down (2.5 min) and active recovery intervals equivalent to 10% POpeak, and the working intervals completed at 70% POpeak. The ratio of work:recovery intervals will be 1:1 and HIIT will continue until an estimated (from the HIIT familiarisation trial) total EE equivalent to the CRT condition is achieved.

Continuous Resistance Training (CRT)

Following baseline measurements, participants will conduct ~ 50 min of CRT consisting of resistance manoeuvres (weight lifting) and low-resistance, high-speed endurance activities (arm-cranking). The efficacy of the CRT for delivering fitness and health-related benefits for persons with paraplegia have been described previously [43,44,45] and recently adopted by the Paralyzed Veterans of America and endorsed by the member organisations of the American Spinal Injuries Association [46]. Participants will perform 10 repetitions of lifting on each of the following exercise stations: (1) military press (Fig. 3b), (2) horizontal rows (Fig. 3c), (3) pectoralis (‘pec’) deck (Fig. 3d), (4) preacher curls (elbow flexion) (Fig. 3e), (5) wide-grip latissimus pull-down (Fig. 3f) and (6) seated dips (Fig. 3g). All manoeuvres will be conducted at 60% 1-RM as determined during strength testing. Every time participants complete two resistance exercises they will perform low-resistance, high-speed arm exercise for 2 min on a stationary cycle. They will rest for 10 s between each set of repetitions, and will complete three cycles of the exercises. Our previous data indicate that CRT will elicit a mean exercise EE of ~ 170 kcal in persons with paraplegia [26]. However, the individual variability is large (SD = 55 kcal), primarily dependent on the resistance set for each activity, hence the need to conduct CRT before the other exercise interventions.

Emergencies and adverse events

Participants will be monitored for the following both during and after treatments: headaches, pain, lightheadedness, dizziness, altered vision, respiratory distress, cyanosis, spasms, or change in function. We will also monitor cardiovascular responses to treatment to ensure that participants do not exceed lower (< 40 bpm) and upper (> 180 bpm) limits for heart rate or systolic blood pressure (i.e. < 85 mmHg and > 200 mmHg).

The skin located near pressure points will be inspected after every exercise session. Exercise trials will be stopped if the participants experience any of the following: chest pain, dyspnoea, diaphoresis, or a pale or ashen appearance. All testing is being performed at a medical centre and is, therefore, located near an emergency room. Security personnel at the Miami Project are all trained ‘first responders’. The laboratory has approved policies and procedures for emergencies and all staff have current certification for cardio-pulmonary resuscitation.

All adverse events will be reported to the Institutional Review Board (IRB) within the mandated time period. For any adverse event the principal investigator will immediately notify and consult with the study physician, who will come to an opinion as to whether the event(s) is/are related to the study procedures described in the protocol. Adverse events will be evaluated by the study physician using the following criteria:

  1. i.)

    Grade 1 (mild): awareness of symptoms, but easily tolerated; usually transient requiring no special treatment; does not interfere with usual or normal daily activities

  2. ii.)

    Grade 2 (moderate): may be ameliorated by simple therapeutic measures; may interfere with, but not keep the participant from participating in normal daily activities

  3. iii.)

    Grade 3: incapacitating event, inability to perform usual activities

  4. iv.)

    Grade 4 (life-threatening/disabling): patient is at risk of death, or worsening disability or impairment as existed at the time of the event

For the first two grades the investigators will observe the participant and as necessary institute standard medical or therapeutic care. Repeated occurrence of grade 1 and 2 events may be cause for notification of the IRB by the investigators that stoppage is appropriate. The investigators may take this action and the IRB will be so notified. Grade 3 and 4 events will be individually evaluated. Any occurrence of grade 3 and 4 events may be cause for notification of the IRB by the investigators that stoppage is appropriate. The investigators may take this action and the IRB will be so notified. Otherwise, upon on an IRB determination that the serious adverse event was related to the protocol, the study will stop and undergo evaluation for continuation.

Experimental measures

Energy expenditure

Energy expenditure and substrate oxidation rates will be determined from expired gas analysis, at rest and during exercise, using indirect calorimetric methods. The following equations will be used [47]:

$$ Energy\ expenditure\ \left( kcal/\mathit{\min}\right)\kern0.5em =\kern0.5em 3.941\cdot \overset{.}{V}{O}_2+1.106\cdot \overset{.}{V}{CO}_2 $$
(2)
$$ CHO- ox\ \left(g/\mathit{\min}\right)\kern0.5em =\kern0.5em 4.344\cdot \overset{.}{V}{CO}_2-3.061\cdot \overset{.}{V}{O}_2 $$
(3)
$$ Fat- ox\ \left(g/\mathit{\min}\right)\kern0.5em =\kern0.5em 1.695\cdot \overset{.}{V}{O}_2-1.701\cdot \overset{.}{V}{CO}_2 $$
(4)

Pre-exercise REE will be accepted as stable when repeated measurements are within 100 kcal/.day [48, 49] and the lowest of these measures will be accepted as RMR [50].

Blood sampling

Following the ~ 50 min rest or exercise sessions, a cannula (BD, Venflon™ Pro, Becton Dickenson & Co., Stockholm, Sweden) will be inserted into an antecubital vein from which repeated 10-ml blood samples will be drawn, as previously described. Plasma samples will be centrifuged immediately at 3466 g at 4 °C for 10 min (Heraeus Biofuge Primo R, Kendro Laboratory Products Plc., Tyne and Wear, UK). Serum samples will be left to clot for 60 min at room temperature before centrifugation. All samples will be dispensed into 1.0-ml aliquots and stored at − 80 °C.

Outcome measures

In order to simplify data analysis and facilitate the interpretation of a complex dataset [51, 52], serial measurements of glucose and insulin responses at baseline, post exercise and in response to the rest/exercise challenge will be converted into simple summary statistics [53], such as incremental area under the curve (iAUC) [54] and insulin sensitivity index (ISIMatsuda) [55]. The Homeostasis Model Assessment (HOMA) calculator, incorporating the updated HOMA-2 model [56], will be used to derive fasting estimates of pancreatic β-cell function, insulin resistance and sensitivity, both at rest and post exercise. A full lipid profile (i.e. triglycerides, total cholesterol, non-esterified fatty acids (NEFA), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C)) will also be assessed to establish the influence of exercise protocol on post-exercise and postprandial responses. From indirect calorimetric measurements, EE, fat and carbohydrate oxidation rates will be determined and compared, primarily during the postprandial phase. The primary and secondary outcome variables are presented in Table 1.

Table 1 Primary and secondary outcome variables

Data storage and availability

Electronic data records

All electronic files are stored on password-protected computers in rooms 1–48 and 1–50 of the Lois Pope Life Center. Computer security is provided by data encryption, firewall protection, and data backup on the Miami Project server. Source data obtained from metabolic analysis will be entered into a de-identified data bank and stored securely on the network.

Physical data records

Data will be stored in a locked room (LPLC 1–50), in a locked file cabinet, which is only accessible to study personnel in the Lois Pope Life Center, 1095 NW 14th Terrace, Miami, FL 33136, USA. The metabolic analyser used to obtain data is located locked in a room (1–49) accessible by university ID badge after passing a security desk and a hallway accessed by proximity card entry. A security badge is needed to open the office door where the data are stored. A security guard is located in the front lobby, and the hallway to the storage site is secured by proximity card entry.

Procedures to release data

To maximise access to the final dataset, after publication of the analyses described within this protocol, we will deposit the final dataset in a to-be-determined data repository. Prior to deposit in the repository, the final dataset will be anonymised. Access to data and procedures to release the data will be defined by the policies of the repository in which the data are placed.

Power calculation

We plan to recruit 11 male participants with chronic (> 1 year) SCI, by engaging users from the Miami Project to Cure Paralysis community. The primary outcome variables are related to fasting and postprandial glycaemic control, but specifically postprandial insulin area under curve (iAUC). While there are only two previous studies that have compared the effects of MICT and HIIT on biomarkers of metabolic regulation in non-disabled humans [57, 58], both suggest no effect of MICT (vs. CON) and an enhanced effect of HIIT. We therefore hypothesised that there will be no differences in postprandial glycaemic control between CON and MICT and a similarly enhanced effect of HIIT and CRT. Using data from these previous studies, the mean predicted effect size for postprandial iAUC is ~ 1 [57] and for postprandial triglyceride concentrations is 0.97 [59]. We therefore estimated that a final sample size of 11 will be required for this repeated measures study, to provide approximately 90% power to detect a significant difference in ∆ insulin iAUC at an alpha level of 0.05. Recruitment will proceed on a rolling basis until the adequate sample size is reached; emphasis will be placed on considering the demands of the study before enrolling to reduce drop-out during the study.

Statistical analysis

All data from participants who successfully complete the study will be included in the analysis. The differences in key outcome variables between experimental conditions (CON, MICT, CRT and HIIT) and time (dependent on variable) will be analysed using a two-way (condition × time) fully repeated measures analysis of variance (ANOVA). Where significant interactions are observed, multiple t tests will determine the location of variance. Significant post-hoc effects will be subjected to a Holm-Bonferroni stepwise adjustment. Standardised effect sizes (Cohen’s d) will also be calculated. This will provide a practical interpretation of the size of the effects of each experimental condition relative to CON. For all the above statistical approaches, statistical significance will be set at an alpha level of p ≤ 0.05. We will explore the use of confidence intervals and magnitude-based inferences to assess the clinical significance of the effect.

Discussion

Previous research suggests that higher-intensity exercise, resulting in greater skeletal muscle glycogen depletion within an individual session, is likely necessary to enhance biomarkers of cardiometabolic component risk, particularly peripheral insulin sensitivity [43, 57, 58] and postprandial triglyceride concentrations. This may be particularly true in humans that have lost the ability to innervate a large proportion of their skeletal muscle mass, such as persons with SCI. Such conditions create numerous barriers to physical activity engagement and the need to maximise the potential metabolic benefits of individual bouts of physical activity becomes paramount. This has led to a recent call for high-quality randomised controlled trials to assess the efficacy of higher-intensity exercise protocols on cardiometabolic component risks in persons with SCI [11]. However, before engaging in such complex intervention studies, it is important to understand the acute physiological and metabolic responses to a single bout of different forms of upper-body exercise in this population.

To our knowledge, this study will be the first to compare the acute metabolic responses of persons with SCI to two novel, higher-intensity modes of upper-body exercise (CRT and HIIT) with a more traditional form of exercise (MICT) and rest (CON). While the two forms of higher-intensity exercise are quite different in nature, they both include intermittent exposures to higher-intensity metabolic activity, which is likely to lead to a relatively greater level of muscle glycogen depletion than MICT [60]. As muscle glycogen concentration is an important driver of acute changes in peripheral insulin sensitivity following exercise, this presents a very plausible mechanism for at least an acute up-regulation of glycaemic regulation [61,62,63]. This approach will help elucidate the exercise modalities and associated mechanisms, which will likely provide the greatest therapeutic stimulus for enhanced physiological function and metabolic regulation in a population with a high prevalence of cardiometabolic disease.

Trial status

Institutional Review Board Protocol No. 20171114, Version 3, dated 5 February 2018. Recruitment start date: 1 March 2018. Recruitment end date: 4 July 2018.

Availability of data and materials

To maximise access to the final data, at the point of publication, we will deposit the final dataset in a public data repository. Prior to deposit in the repository, the final dataset will be anonymised. Access to data and procedures to release the data will be defined by the policies of the repository in which the data are placed.

Abbreviations

ACE:

Arm-crank ergometry

ASIA:

American Spinal Injuries Association

CHO:

Carbohydrate

CON:

Resting control condition

CRIT:

Continuous, Resistance or High Intensity Interval Training study

CRT:

Continuous Resistance Training

DALEEDS:

Disability-Associated Low Energy Expenditure Deconditioning Syndrome

FFA:

Free fatty acids

GXT:

Graded exercise test

HIIT:

High Intensity Interval Training

iAUC:

Incremental area under the curve

MICT:

Moderate Intensity Continuous Training

PPG:

Postprandial glycaemia

PPL:

Postprandial lipaemia

PPO:

Peak power output

REE:

Resting energy expenditure

RMR:

Resting metabolic rate

SCI:

Spinal cord injury

V̇O2 peak:

Peak oxygen uptake

References

  1. Garshick E, Kelley A, Cohen SA, Garrison A, Tun CG, Gagnon D, Brown R. A prospective assessment of mortality in chronic spinal cord injury. Spinal Cord. 2005;43(7):408–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Lai YJ, Lin CL, Chang YJ, Lin MC, Lee ST, Sung FC, Lee WY, Kao CH. Spinal cord injury increases the risk of type 2 diabetes: a population-based cohort study. Spine J. 2014;14(9):1957–64.

    Article  PubMed  Google Scholar 

  3. Edwards LA, Bugaresti JM, Buchholz AC. Visceral adipose tissue and the ratio of visceral to subcutaneous adipose tissue are greater in adults with than in those without spinal cord injury, despite matching waist circumferences. Am J Clin Nutr. 2008;87(3):600–7.

    Article  CAS  PubMed  Google Scholar 

  4. Gilbert O, Croffoot JR, Taylor AJ, Nash M, Schomer K, Groah S. Serum lipid concentrations among persons with spinal cord injury—a systematic review and meta-analysis of the literature. Atherosclerosis. 2014;232(2):305–12.

    Article  CAS  PubMed  Google Scholar 

  5. Bauman WA, Spungen AM. Coronary heart disease in individuals with spinal cord injury: assessment of risk factors. Spinal Cord. 2008;46(7):466–76.

    Article  CAS  PubMed  Google Scholar 

  6. Liou TH, Pi-Sunyer FX, Laferrere B. Physical disability and obesity. Nutr Rev. 2005;63(10):321–31.

    Article  PubMed  Google Scholar 

  7. Rimmer JH, Schiller W, Chen MD. Effects of disability associated low energy expenditure deconditioning syndrome. Exerc Sport Sci Rev. 2012;40(1):22–9.

    Article  PubMed  Google Scholar 

  8. Maher JL, McMillan DW, Nash MS. Exercise and health-related risks of physical deconditioning after spinal cord injury. Top Spinal Cord Inj Rehabil. 2017;23(3):175–87.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Totosy de Zepetnek JO, Pelletier CA, Hicks AL, MacDonald MJ. Following the physical activity guidelines for adults with spinal cord injury for 16 weeks does not improve vascular health: a randomized controlled trial. Arch Phys Med Rehabil. 2015;96(9):1566–75.

    Article  PubMed  Google Scholar 

  10. Nightingale TE, Walhin JP, Thompson D, Bilzon JLJ. A randomised control trial to determine the influence of a 6-week upper body exercise intervention on markers of cardiometabolic health in spinal cord injured paraplegics. Med Sci Sports Exerc. 2017;49(12):2469–77.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Nightingale TE, Metcalfe RS, Vollaard NB, Bilzon JLJ. Exercise guidelines to promote cardiometabolic health in spinal cord injured humans: time to raise the intensity? Arch Phys Med Rehabil. 2017;98(8):1693–704.

    Article  PubMed  Google Scholar 

  12. Kjaer M, Dela F, Sorensen FB, Secher NH, Bangsbo J, Mohr T, Galbo H. Fatty acid kinetics and carbohydrate metabolism during electrical exercise in spinal cord-injured humans. Am J Physiol Regul Integr Comp Physiol. 2001;281(5):R1492–8.

    Article  CAS  PubMed  Google Scholar 

  13. Astorino TA, Harness ET. Substrate metabolism during exercise in the spinal cord injured. Eur J Appl Physiol. 2009;106(2):187–93.

    Article  CAS  PubMed  Google Scholar 

  14. Jacobs KA, Burns P, Kressler J, Nash MS. Heavy reliance on carbohydrate across a wide range of exercise intensities during voluntary arm ergometry in persons with paraplegia. J Spinal Cord Med. 2013;36(5):427–35.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kressler J, Jacobs K, Burns P, Betancourt L, Nash MS. Effects of circuit resistance training and timely protein supplementation on exercise-induced fat oxidation in tetraplegic adults. Top Spinal Cord Inj Rehabil. 2014;20(2):113–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Kressler J, Nash MS, Burns PA, Field-Fote EC. Metabolic responses to 4 different body weight-supported locomotor training approaches in persons with incomplete spinal cord injury. Arch Phys Med Rehabil. 2013;94(8):1436–42.

    Article  PubMed  Google Scholar 

  17. Borsheim E, Bahr R. Effect of exercise intensity, duration and mode on post-exercise oxygen consumption. Sports Med. 2003;33(14):1037–60.

    Article  PubMed  Google Scholar 

  18. Lyons S, Richardson M, Bishop P, Smith J, Heath H, Giesen J. Excess post-exercise oxygen consumption in untrained males: effects of intermittent durations of arm ergometry. Appl Physiol Nutr Metab. 2006;31(3):196–201.

    Article  PubMed  Google Scholar 

  19. Lyons S, Richardson M, Bishop P, Smith J, Heath H, Giesen J. Excess post-exercise oxygen consumption in untrained men following exercise of equal energy expenditure: comparisons of upper and lower body exercise. Diabetes Obes Metab. 2007;9(6):889–94.

    Article  CAS  PubMed  Google Scholar 

  20. Short KR, Sedlock DA. Excess postexercise oxygen consumption and recovery rate in trained and untrained subjects. J Appl Physiol. 1997;83(1):153–9.

    Article  CAS  PubMed  Google Scholar 

  21. Sedlock DA, Schneider DA, Gass E, Gass G. Excess post-exercise oxygen consumption in spinal cord-injured men. Eur J Appl Physiol. 2004;93(1–2):231–6.

    Article  CAS  PubMed  Google Scholar 

  22. Kearney ML, Thyfault JP. Exercise and postprandial glycemic control in type 2 diabetes. Curr Diabetes Rev. 2016;12(3):199–210.

    Article  CAS  PubMed  Google Scholar 

  23. Kuo CC, Fattor JA, Henderson GC, Brooks GA. Lipid oxidation in fit young adults during postexercise recovery. J Appl Physiol. 2005;99(1):349–56.

    Article  CAS  PubMed  Google Scholar 

  24. Davitt PM, Arent SM, Tuazon MA, Golem DL, Henderson GC. Postprandial triglyceride and free fatty acid metabolism in obese women after either endurance or resistance exercise. J Appl Physiol. 2013;114(12):1743–54.

    Article  CAS  PubMed  Google Scholar 

  25. Henderson GC, Alderman BL. Determinants of resting lipid oxidation in response to a prior bout of endurance exercise. J Appl Physiol. 2014;116(1):95–103.

    Article  CAS  PubMed  Google Scholar 

  26. Lem A, McMillan DW, Nash MS. Energy expenditure during and after a single bout of circuit resistance exercise in persons with tetraplegia. Med Sci Sport Exerc. 2016;48(5S):1025.

    Article  Google Scholar 

  27. Elder CP, Apple DF, Bickel CS, Meyer RA, Dudley GA. Intramuscular fat and glucose tolerance after spinal cord injury—a cross-sectional study. Spinal Cord. 2004;42(12):711–6.

    Article  CAS  PubMed  Google Scholar 

  28. Lopez-Miranda J, Perez-Martinez P, Marin C, Moreno JA, Gomez P, Perez-Jimenez F. Postprandial lipoprotein metabolism, genes and risk of cardiovascular disease. Curr Opin Lipidol. 2006;17(2):132–8.

    Article  CAS  PubMed  Google Scholar 

  29. Pastromas S, Terzi AB, Tousoulis D, Koulouris S. Postprandial lipemia: an under-recognized atherogenic factor in patients with diabetes mellitus. Int J Cardiol. 2008;126(1):3–12.

    Article  PubMed  Google Scholar 

  30. Aronson D, Rayfield EJ. How hyperglycemia promotes atherosclerosis: molecular mechanisms. Cardiovasc Diabetol. 2002;8(1):1.

    Article  Google Scholar 

  31. Pillard F, Van Wymelbeke V, Garrigue E, Moro C, Crampes F, Guilland JC, Berlan M, de Glisezinski I, Harant I, Rivière D, Brondel L. Lipid oxidation in overweight men after exercise and food intake. Metabolism. 2010;59(2):267–74.

    Article  CAS  PubMed  Google Scholar 

  32. Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, Hróbjartsson A, Mann H, Dickersin K, Berlin J, Doré C, Parulekar W, Summerskill W, Groves T, Schulz K, Sox H, Rockhold FW, Rennie D, Moher D. SPIRIT 2013 Statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158:200–7.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Chan A-W, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin J, Dickersin K, Hróbjartsson A, Schulz KF, Parulekar WR, Krleža-Jerić K, Laupacis A, Moher D. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Nary DE, Froehlich-Grobe K, Aaronson L. Recruitment issues in a randomized controlled exercise trial targeting wheelchair users. Contemp Clin Trials. 2011;32(2):188–95.

    Article  PubMed  Google Scholar 

  35. Ross S, Grant A, Counsell C, Gillespie W, Russell I, Prescott R. Barriers to participation in randomised controlled trials: a systematic review. J Clin Epidemiol. 1999;52(12):1143–56.

    Article  CAS  PubMed  Google Scholar 

  36. Kosma M, Cardinal BJ, McCubbin JA. Recruitment techniques among understudied populations and their implications for physical activity promotion. Quest. 2004;56(4):413–20.

    Article  Google Scholar 

  37. Yilmaz DDCB. Recruitment of spinal cord injury patients to clinical trials: challenges and solutions. Top Spinal Cord Inj Rehabil. 2006;11(3):12–23.

    Article  CAS  Google Scholar 

  38. Bell KR, Hammond F, Hart T, Bickett AK, Temkin NR, Dikmen S. Participant recruitment and retention in rehabilitation research. Am J Phys Med Rehabil. 2008;87(4):330–8.

    Article  PubMed  Google Scholar 

  39. Schulz KF, Grimes DA. Unequal group sizes in randomised trials: guarding against guessing. Lancet. 2002;359:966–70.

    Article  PubMed  Google Scholar 

  40. Schulz KF, Grimes DA. Allocation concealment in randomised trials: defending against deciphering. Lancet. 2002;359:614–8.

    Article  PubMed  Google Scholar 

  41. Riebe D, Ehrman JK, Liguori G, Magal M, editors. ACSM’s guidelines for exercise testing and prescription. Philadelphia: Wolters Kluwer Health; 2016.

    Google Scholar 

  42. Mayhew JL, Ball TE, Bowen JC. Relative muscular endurance performance as a predictor of bench press strength in college men and women. Sports Med Training Rehabil. 1992;3:195–201.

    Article  Google Scholar 

  43. Nash MS, Jacobs PL, Mendez AJ, Goldberg RB. Circuit resistance training improves the atherogenic lipid profiles of persons with chronic paraplegia. J Spinal Cord Med. 2001;24(1):2–9.

    Article  CAS  PubMed  Google Scholar 

  44. Jacobs PL, Nash MS, Rusinowski JW. Circuit training provides cardiorespiratory and strength benefits in persons with paraplegia. Med Sci Sport Exerc. 2001;33(5):711–7.

    Article  CAS  Google Scholar 

  45. Nash MS, van de Ven I, van Elk N, Johnson BM. Effects of circuit resistance training on fitness attributes and upper-extremity pain in middle-aged men with paraplegia. Arch Phys Med Rehabil. 2007;88(1):70–5.

    Article  PubMed  Google Scholar 

  46. Dyson-Hudson TA, Gater DR, Groah SL, Lieberman JA, Myers J, Nash MS, Sabharwal S, Taylor AJ.:Clinical practice guidelines: idenification and management of cardiometabolic risk after spinal cord injury. Paralyzed Veterans of America and the Consortium for Spinal Cord Medicine. 2018. URL: https://pva-cdnendpoint.azureedge.net/prod/libraries/media/pva/library/publications/cpg_cardiometabolic-risk_digital.pdf

  47. Jeukendrup AE, Wallis GA. Measurement of substrate oxidation during exercise by means of gas exchange measurements. Int J Sports Med. 2005;26(Suppl 1):S28–37.

    Article  CAS  PubMed  Google Scholar 

  48. Betts JA, Thompson D, Richardson JD, Chowdhury EA, Jeans M, Holman GD, Tsintzas K. Bath Breakfast Project (BBP)—examining the role of extended daily fasting in human energy balance and associated health outcomes: study protocol for a randomised controlled trial [ISRCTN31521726]. Trials. 2011;12:172.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Compher C, Frankenfield D, Keim N, Roth-Yousey L, Evidence Analysis Working Group. Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J Am Diet Assoc. 2006;106:881–903.

    Article  PubMed  Google Scholar 

  50. Walhin JP, Richardson JD, Betts JA, Thompson D. Exercise counteracts the effects of short-term overfeeding and reduced physical activity independent of energy imbalance in healthy young men. J Physiol. 2013;591:6231–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–12.

    Article  PubMed  Google Scholar 

  52. Matthews JNS, Altman DG, Campbell MJ, Royston P. Analysis of serial measurements in medical research. Br Med J. 1990;300(6719):230–5.

    Article  CAS  Google Scholar 

  53. Wolever TMS, Jenkins DJA. The use of the glycemic index in predicting the blood-glucose response to mixed meals. Am J Clin Nutr. 1986;43(1):167–72.

    Article  CAS  PubMed  Google Scholar 

  54. Wolever TMS. Effect of blood sampling schedule and method of calculating the area under the curve on validity and precision of glycaemic index values. Br J Nutr. 2004;91(2):295–300.

    Article  CAS  PubMed  Google Scholar 

  55. Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing-comparison with the euglycemic insulin clamp. Diabetes Care. 1999;22(9):1462–70.

    Article  CAS  PubMed  Google Scholar 

  56. Levy JC, Matthews DR, Hermans MP. Correct Homeostasis Model Assessment (HOMA) evaluation uses the computer program. Diabetes Care. 1998;21(12):2191–2.

    Article  CAS  PubMed  Google Scholar 

  57. Little JP, Jung ME, Wright AE, Wright W, Manders RJ. Effects of high intensity interval exercise versus continuous moderate-intensity exercise on postprandial glycemic control assessed by continuous glucose monitoring in obese adults. Appl Physiol Nutr Metab. 2014;39:835–41.

    Article  CAS  PubMed  Google Scholar 

  58. Karstoft K, Christensen CS, Pedersen BK, Solomon TP. The acute effects of interval vs continuous-walking exercise on glycemic control in subjects with type 2 diabetes: a crossover, controlled study. J Clin Endocrinol Metab. 2014;99:3334–42.

    Article  CAS  PubMed  Google Scholar 

  59. Freese EC, Gist NH, Acitelli RM, McConnell WJ, Beck CD, Hausman DB, Murrow JR, Cureton KJ, Evans EM. Acute and chronic effects of sprint interval exercise on postprandial lipemia in women at-risk for the metabolic syndrome. J Appl Physiol. 2015;118(7):872–9.

    Article  PubMed  Google Scholar 

  60. van Loon LJ, Greenhaff PL, Constantin-Teodosiu D, Saris WH, Wagenmakers AJ. The effects of increasing exercise intensity on muscle fuel utilisation in humans. J Physiol. 2001;536(Pt 1):295–304.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Bogardus C, Thuillez P, Ravussin E, Vasquez B, Narimiga M, Azhar S. Effect of muscle glycogen depletion on in vivo insulin action in man. J Clin Invest. 1983;72:1605–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Newsom SA, Schenk S, Thomas KM, Harber MP, Knuth ND, Goldenberg N, Horowitz JF. Energy deficit after exercise augments lipid mobilization but does not contribute to the exercise-induced increase in insulin sensitivity. J Appl Physiol. 2010;108:554–60.

    Article  CAS  PubMed  Google Scholar 

  63. Holtz KA, Stephens BR, Sharoff CG, Chipkin SR, Braun B. The effect of carbohydrate availability following exercise on whole-body insulin action. Appl Physiol Nutr Metab. 2008;33:946–56.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the University of Miami and the University of Bath for supporting this international collaboration and enabling this project. We would also like to thank the British Association of Sport and Exercise Medicine (BASEM) and the Medlock Charitable Trust for providing financial support for Professor Bilzon’s research sabbatical to the Miller School of Medicine.

Trial sponsor

The trial sponsor can be contacted at:

Adriana Robledo, IRB Regulatory Analyst, Human Subject Research Office, University of Miami, FL, USA

Tel: +1 305-243-7135; email: arobledo@med.miami.edu

Declarations

The authors have nothing to declare.

Author information

Authors and Affiliations

Authors

Contributions

DM: conceived the study and developed the protocol jointly with JM, MN and JB. He was responsible for preparing the Ethics Committee application and day-to-day testing. JM: helped conceive the project and was responsible for participant recruitment and the day-to-day management of the project, including laboratory set up and data acquisition. JB: helped conceive the project, assisted with testing and was responsible for drafting this manuscript. MN: is the principal investigator and director of the laboratory and takes overall responsibility for the quality and delivery of approved research in the laboratory. KJ: helped conceive the project and review the study protocol. AM: helped conceive the project and will lead on all aspects of biochemical analysis. All authors contributed to revisions of this manuscript and approved the final version.

Corresponding author

Correspondence to James L. J. Bilzon.

Ethics declarations

Ethics approval and consent to participate

The study protocol has been approved by the Human Subjects Research Office, Miller School of Medicine, University of Miami (Institutional Review Board Protocol No. 20171114, Version 3, dated 5 February 2018) and the trial has been registered as a current controlled trial (ClinicalTrials.gov Registration Number NCT03545867 on 1 June 2018).

Consent for publication

One participant gave written consent for his images to be used in Fig. 3 of this article.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) 2013 Checklist: recommended items to address in a clinical trial protocol and related documents. (DOC 121 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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 (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

McMillan, D.W., Maher, J.L., Jacobs, K.A. et al. Influence of upper-body continuous, resistance or high-intensity interval training (CRIT) on postprandial responses in persons with spinal cord injury: study protocol for a randomised controlled trial. Trials 20, 497 (2019). https://doi.org/10.1186/s13063-019-3583-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13063-019-3583-1

Keywords