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The Effect of Feedback on Physical Activity Surveillance Using Wearable Device-Smartphone Application for Resolution of Metabolic Syndrome in Aged 60 or Older

The Effect of Feedback on Physical Activity Surveillance Using Wearable Device-Smartphone Application for Resolution of Metabolic Syndrome in Aged 60 or Older ; a 12-Week Randomized Control Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05830552
Enrollment
40
Registered
2023-04-26
Start date
2021-11-01
Completion date
2022-04-30
Last updated
2023-04-26

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

Conditions

Metabolic Syndrome, Physical Activity, Wearable Device

Brief summary

The Effect of Feedback on Physical Activity Surveillance using Wearable Device-Smartphone Application for Resolution of Metabolic Syndrome in Aged 60 or older; a 12-Week Randomized Control Study

Detailed description

Research on whether wearable device interventions can effectively prevent metabolic syndrome remains insufficient. This study aimed to evaluate the effect of feedback on clinical indicators in patients with metabolic syndrome aged 60 or older on activities measured using wearable devices, such as smartphone apps. Patients aged 60 or older diagnosed with metabolic syndrome were recruited and prescribed to survive for 12 weeks using wrist-worn devices (B.BAND, B Life Inc, Korea). The block randomization method was used to distribute the participants between an intervention group (n=20) and control group (n=20). In the intervention group, an experienced study coordinator provided feedback on physical activity to individuals through telephone counseling every other week.

Interventions

Receving regular feedback from a health provider

No regular feedback from a health provider

Sponsors

Pusan National University Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Subject, Investigator)

Intervention model description

In the intervention group, the researcher provided feedback on the participants' exercise amount through telephone contact every two weeks during the 12-week study period. It includes recommendations for continuing exercise therapy based on the recommendations for physical activity. Through phone consultations, they answered questions about exercise or discussed problems, were encouraged to continue exercising, answered questions or discussed problems related to wearable devices and apps, and encouraged for continuous data transmission.

Eligibility

Sex/Gender
ALL
Age
60 Years to 99 Years
Healthy volunteers
Yes

Inclusion criteria

* Diagnosed with metabolic syndrome by a doctor. * Aged 60 or older. * A person who understands the clinical trial process and signs the consent form * Possession of a smartphone and a daily mobile phone user for the past 3. months and expected to use for more than 3 months. * A person who agrees to provide the data on the amount of physical activity measured and collected by a wearable device. * A person who can exercise at an intensity more than walking for 12 weeks.

Exclusion criteria

* Under the aged 60. * A person who does not agree to provide data on physical activity. * Those who who are judged to have difficulty in exercising such as walking due to uncontrolled diabetes, high blood pressure or serious cardiovascular disease. * A person who is not used to or is reluctant to use a smartphone app. * Those who have difficulty wearing wearable devices due to skin diseases around their wrists. * A person who is expected to have an unintended change in weight over the next three months due to current pregnancy and planning, thyroid disease, cancer, etc.

Design outcomes

Primary

MeasureTime frameDescription
Measurement of physical activity through wearable devicesFor 12 weeksInvestigators provided with wrist-wearable device (B.BAND, B Life Inc, Korea), which allowed them to wear and live for 12 weeks. Researchers who have been granted access can check and track participants' physical activity on a daily basis through a web page.
Changes in fasting blood tests at baseline and 12th week visitsBaseline and 12th weekBlood samples were collected from the Jeonju vein after fasting for 6 hours and analyzed in our hospital's laboratory. The lipid profile was tested using an automated analyzer (Hitachi 747, Hitachi Corp, Japan) and enzyme colorimetric method.
Changes in blood pressure (systolic blood pressure, diastolic blood pressure) at baseline and 12th week visitsBaseline and 12th weekBlood pressure was measured in a sitting position after resting using BP-203 RVII(Colin Corp, Aichi, Japan).
Changes in waist circumference (cm) at baseline and 12th week visitsBaseline and 12th weekThe waist circumference was evaluated by a trained examiner (after normal exhalation) to the nearest millimeter from the midpoint between the lower edge of the rib and the iliac ridge.

Secondary

MeasureTime frameDescription
Depression index at baseline and 12th week visitsBaseline and 12th weekAll participants completed the Beck Depression Inventory (BDI) questionnaires.
Pulse wave velocity measurement on baseline and 12th week visitsBaseline and 12th weekPulse wave velocity was measured in a comfortable supine position using the VP-1000 plus (Omron Healthcare, Bannockburn, IL).
Stress scale questionnaires at baseline and 12th week visitsBaseline and 12th weekAll participants completed the Perceived Stress Scale (PSS) questionnaires.
Changes in body weight at baseline and 12th week visitsBaseline and 12th weekBody weight in kilograms were measured using a digital scale and stadiometer (BSM370, Biospace Co Ltd, Seoul).
Changes in height at baseline and 12th week visitsBaseline and 12th weekHeight in meters were measured using a digital scale and stadiometer (BSM370, Biospace Co Ltd, Seoul).
Changes in body composition at baseline and 12th week visitsBaseline and 12th weekBody composition was measured by bioelectrical impedance analysis (Inbody 720, Biospace Co Ltd, Seoul)

Other

MeasureTime frameDescription
Gathering subject information from the surveyBaselineAll participants received information on demographics, occupation (usually for estimating physical activity intensity), frequency and duration of physical activity, history (diagnosis or drug treatment of hypertension, diabetes or dyslipidemia), health-related habits (smoking, drinking and alcohol), and medications taken through the survey. Participants were defined as non-smokers, past smokers, and current smokers, and non-smokers (0 to 98 g/week) or drinkers who drink an average of 7 cups of men and 5 or more cups of women twice per person.

Countries

South Korea

Outcome results

None listed

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