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Connected Health Care in Exercise Program for Obesity

Feasibility and Explorative Study to Test the Superiority of Connected Health Care Using Wearable Device to Improve Body Composition and Fitness Level

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03446235
Enrollment
19
Registered
2018-02-26
Start date
2017-12-04
Completion date
2018-08-31
Last updated
2019-01-24

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

Conditions

Exercise, Obesity, Physical Activity

Keywords

Obesity, Physical Activity, Exercise, Wearable device

Brief summary

Many kinds of wearable technology have become available, but the superiority of those devices in weight loss compared to the standard care without them is uncertain. The possible problems are long-term self-motivation, utility and validity of the device, and outcome measures in clinical trials. The connected health care with motivational interviewing as an intervention, and body composition parameters in addition to body weight as outcome measures are employed in the project. The expected outcome is that connected health care, which is more individualized approach by heath care professionals, is more effective compared to self-monitoring using wearable devices. Two types of wearable device are going to be used to monitor 1) body activity and 2) heart rate variables during exercise which reflect fitness level in this study in order to investigate appropriate monitoring parameters to predict outcome measures. The hypothesis is that addition of connected health system will result in improvement of body composition and fitness level compared to self-monitoring.

Detailed description

Patients with age 18 to 59 years old and body mass index between 30 to 39.9 are to be enrolled at Mayo Clinic in Arizona. All enrolled subjects receive wearable monitoring devices with remote tracking capability and brochure regarding nutrition and physical exercise with basic instruction. Subjects are randomly assigned to connected health care group versus self-monitoring group. Connected health care group will have 2 interviews about physical exercise and 6 communications with individualized instruction and counseling of their exercise including the usage of the monitoring devices. Self-monitoring group will do physical exercise following the initial basic instruction and self-monitor them. All subjects visit Mayo Clinic to get outcome measures at 0, 12, and 24weeks. Outcome measures will be compared before, at 12 weeks, and after the 24 weeks of the fitness program.

Interventions

BEHAVIORALExercise instruction with motivational interview

An activity tracker and a heart rate monitor to track the participants activity and exercise records will be used. In addition to the basic instruction of exercise and nutrition, an exercise physiologist provides individualized exercise instruction with a motivational interviewing skill, which is a different style from traditional persuasive style of communication between the healthcare professionals and patients.

BEHAVIORALSelf-monitoring

An activity tracker and a heart rate monitor to track the participants activity and exercise records will be used. Basic instruction about exercise and nutrition is provided at the initial visit.

Sponsors

Arizona State University
CollaboratorOTHER
Mayo Clinic
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 59 Years
Healthy volunteers
No

Inclusion criteria

* Body Mass Index of 30 to \<40 kg/m\^2

Exclusion criteria

* End of organ damage from hypertension * Diabetes * Liver disease * Chronic lung disease * Neuromuscular disease * Any conditions that limit exercise * Currently involved in other weight program

Design outcomes

Primary

MeasureTime frameDescription
Change in Waist circumferenceBaseline and 24 weeksWaist circumference is measured by tape at the end expiration while the patient is standing. Units centimeters.

Secondary

MeasureTime frameDescription
Change in body fat percentageBaseline and 24 weeksBody fat percentage is measured using a commercially available body fat scale (TANITA body composition monitors). Units percentage.
Change in physical activity scoreBaseline and 24 weeksInternational Physical Activity Questionnaire is filled out by patients. The International Physical Activity Questionnaire Long Form (IPAQ) (www.ipaq.ki.se) is to assess levels and patterns of physical activity. Continuous score expressed as MET (metabolic equivalent)-min/week: MET level\*minutes of activity/day\*days per week is calculated. Higher number means higher level of physical activity that a subject performed during last 7 days. The estimated range is from 0 to 3000. Units MET-minutes.
Change in Physical Activity Vital SignBaseline and 24 weeksPhysical Activity Vital Sign (PAVS) (Greenwood JL, 2010) is a short physical activity assessment using closed ended questions to ask how many days a subject performed physical activity during the past week. Higher number means a subject spent more days on performing physical activity. The range is from 0 to 7. Units days.
Change in weightBaseline and 24 weeksWeight is measured using a commercially available body weight scale (TANITA body composition monitors). Units kg.
Change in heart rate variablesBaseline and 24 weeksHeart rate recovery after 6 minute walk test is evaluated. Units beats/minute.
Change in 6 minute walk testBaseline and 24 weeksWalking distance is evaluated. Units meters.
Change in Veterans Specific Activity QuestionnaireBaseline and 24 weeksVeterans Specific Activity Questionnaire (VASQ) (Myers J, 2001) is a brief self administered questionnaire to predict exercise capacity (METs, metabolic equivalents). A subject select the minimum activity level that cause fatigue, short of breath, or discomfort. Higher number means higher fitness level of a subject. the range is from 1 to 13. Units METs.

Countries

United States

Outcome results

None listed

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