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Isoenergetic High Intensity Interval Training and Moderate Intensity Training in Adults With Type I Diabetes

Metabolic, Hormonal, and Physiological Characterization of Isoenergetic High Intensity Interval Training and Moderate Intensity Continuous Training in Adults With Type I Diabetes

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04664205
Acronym
HI1T
Enrollment
14
Registered
2020-12-11
Start date
2021-02-01
Completion date
2022-09-15
Last updated
2024-07-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Mellitus, Type 1

Brief summary

Type 1 diabetes (T1D) is associated with increased risk of poor cardiometabolic health. Regular exercise is recommended for optimal management of comorbidities in T1D. Unique barriers to exercise exist for T1D, including fear of hypoglycemia, unpredictable glycemic excursions with exercise, and inadequate knowledge about exercise. Unlike traditional moderate intensity continuous training (MICT) which requires extended periods of time, high intensity interval training (HIIT) requires minimal time (\ 10 minutes of exercise per session), with the potential to rapidly stimulate mitochondrial biogenesis and metabolism. The extent to which these exercise strategies alter metabolomic signatures of carbohydrate, fat, and amino acid metabolism in T1D is unknown. The overall goal of the proposed project is to identify the acute metabolic effects and physiological modifiers of HIIT compared to MICT and control (CON) using metabolomic profiling and cardiometabolic assessments in 14 adults with T1D. Using a randomized cross-over approach, the primary aim is to compare the metabolomics response immediately post, 1 hr post, and glycemic control through 48 hrs after HIIT, compared to MICT matched for total energy expenditure, versus a no exercise CON. An additional aim will be to characterize the influence of biological sex and physiological outcomes (i.e. body composition, lean mass, visceral fat) on the metabolomics profile of these subjects. Outcomes from the present study, with existing data from our team, will lay the foundation for a larger diet and exercise lifestyle intervention that will ultimately lead to changes in clinical practice to co-manage glycemia and cardiometabolic comorbidities.

Interventions

One session of high intensity interval exercise

One session of calorically matched moderate intensity exercise

OTHERControl

No exercise, resting measures

Sponsors

University of North Carolina, Chapel Hill
Lead SponsorOTHER
North Carolina Diabetes Research Center
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 51 Years
Healthy volunteers
No

Inclusion criteria

* Clinical diagnosis of presumed autoimmune T1D, receiving daily insulin * Last hemoglobin A1c \<9% * 18-51 years * Duration of T1D: ≥ 1 year * Body mass index (BMI) \<30 kg/m\^2 * Generally healthy, with no conditions that could influence the outcome of the trial, and in the judgement of the investigators is a good candidate for the study, based on a review of health history

Exclusion criteria

* Physician diagnosis of active diabetic retinopathy that could be worsened by exercise * Physician diagnosis of peripheral neuropathy with insensate feet * Physician diagnosis of autonomic neuropathy * Medications: beta-blockers, agents that affect hepatic glucose production such as beta adrenergic agonists, xanthine derivatives; any hypoglycemic agent other than insulin. * Severe hypoglycemic event defined as the individual requiring a third party of hospitalization in the last 6 months * Diabetic ketoacidosis in the last 6 months * Has a closed-loop pump and not willing to use manual mode * Physician diagnosis of cardiovascular disease that would affect exercise tolerance * Currently doing HIIT * Severely impaired hearing or speech * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Mean Energy Expenditure Between HIIT and MICTDuring exerciseEnergy expenditure measured via indirect calorimetry (kcals) during exercise.
Difference in Mean Lactate During Exercise as an Indicator of Carbohydrate MetabolismBaseline, 1 hour post exerciseLactate measured using capillary finger prick (mmol/L).

Secondary

MeasureTime frameDescription
Change in Continuous Glucose After Exercise Into OvernightImmediately post-exercise and OvernightGlucose monitoring using a continuous glucose monitor (mg/dL). Overnight values were collected based on the average mid-point of participants' sleep.

Countries

United States

Participant flow

Pre-assignment details

This was a cross-over design with all participants completing all treatments.

Participants by arm

ArmCount
All Participants
All participants were randomly assigned to receive control session, high intensity interval training, and moderate intensity continuous training on different days. High Intensity Interval Exercise: One session of high intensity interval exercise Moderate Intensity Continuous Exercise: One session of calorically matched moderate intensity exercise Control: No exercise, resting measures
14
Total14

Baseline characteristics

CharacteristicAll Participants
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
0 Participants
Age, Categorical
Between 18 and 65 years
14 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
2 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
12 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Percent Body Fat26.6 percent body fat
STANDARD_DEVIATION 11
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
2 Participants
Race (NIH/OMB)
Black or African American
0 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
12 Participants
Region of Enrollment
United States
14 Participants
Sex: Female, Male
Female
7 Participants
Sex: Female, Male
Male
7 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 140 / 140 / 14
other
Total, other adverse events
0 / 140 / 140 / 14
serious
Total, serious adverse events
0 / 140 / 140 / 14

Outcome results

Primary

Difference in Mean Lactate During Exercise as an Indicator of Carbohydrate Metabolism

Lactate measured using capillary finger prick (mmol/L).

Time frame: Baseline, 1 hour post exercise

Population: There was no exercise during the control session; therefore, this outcome does not apply for control trial.

ArmMeasureGroupValue (MEAN)Dispersion
High Intensity Interval TrainingDifference in Mean Lactate During Exercise as an Indicator of Carbohydrate MetabolismDuring exercise8.46 mmol/LStandard Deviation 2.83
High Intensity Interval TrainingDifference in Mean Lactate During Exercise as an Indicator of Carbohydrate Metabolism1 hour post2.30 mmol/LStandard Deviation 1.05
Moderate Intensity Continuous TrainingDifference in Mean Lactate During Exercise as an Indicator of Carbohydrate MetabolismDuring exercise7.11 mmol/LStandard Deviation 2.19
Moderate Intensity Continuous TrainingDifference in Mean Lactate During Exercise as an Indicator of Carbohydrate Metabolism1 hour post1.75 mmol/LStandard Deviation 0.46
p-value: 0.069ANCOVA
Primary

Mean Energy Expenditure Between HIIT and MICT

Energy expenditure measured via indirect calorimetry (kcals) during exercise.

Time frame: During exercise

Population: There was no exercise during the control session; therefore, this outcome does not apply for control trial.

ArmMeasureValue (MEAN)Dispersion
High Intensity Interval TrainingMean Energy Expenditure Between HIIT and MICT264.5 kcalStandard Deviation 80.9
Moderate Intensity Continuous TrainingMean Energy Expenditure Between HIIT and MICT225.5 kcalStandard Deviation 57.4
p-value: 0.01t-test, 2 sided
Secondary

Change in Continuous Glucose After Exercise Into Overnight

Glucose monitoring using a continuous glucose monitor (mg/dL). Overnight values were collected based on the average mid-point of participants' sleep.

Time frame: Immediately post-exercise and Overnight

ArmMeasureGroupValue (MEAN)Dispersion
High Intensity Interval TrainingChange in Continuous Glucose After Exercise Into OvernightImmediately post exercise155.2 mg/dLStandard Deviation 11.3
High Intensity Interval TrainingChange in Continuous Glucose After Exercise Into OvernightOvernight139.7 mg/dLStandard Deviation 18.7
Moderate Intensity Continuous TrainingChange in Continuous Glucose After Exercise Into OvernightImmediately post exercise146.9 mg/dLStandard Deviation 8
Moderate Intensity Continuous TrainingChange in Continuous Glucose After Exercise Into OvernightOvernight165.6 mg/dLStandard Deviation 6
Control SessionChange in Continuous Glucose After Exercise Into OvernightImmediately post exercise124.5 mg/dLStandard Deviation 6.3
Control SessionChange in Continuous Glucose After Exercise Into OvernightOvernight150.3 mg/dLStandard Deviation 7.6
p-value: 0.478ANOVA

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026