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Activity Trackers for Improving BP

ACtivity Trackers to ImproVe Blood Pressure: a Pilot Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03325426
Enrollment
63
Registered
2017-10-30
Start date
2017-06-01
Completion date
2021-01-01
Last updated
2024-04-02

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

Conditions

Cardiovascular Risk Factor, Chronic Kidney Diseases, Hypertension, Physical Activity

Brief summary

The study aims to determine if use of physical activity trackers coupled with provider feedback will increase awareness of young adults of their physical fitness and improve blood pressure levels. The goal of this pilot study is feasibility, with a secondary goal of examining potential effect sizes for planning purposes for a larger randomized controlled trial.

Detailed description

Increasing physical activity levels may improve cardiovascular health and BP levels in young individuals, especially if such strategies promote healthy lifestyles. Physical activity is currently recommended for adults CV health, but physical activity levels are known to be low in populations with diabetes or chronic kidney disease. One prior study of the use of pedometers (not associated with wireless technology or provider feedback) in children with CKD did not significantly improve physical activity levels. Supervised walking appeared to provide some benefit in individuals with type II diabetes, but overall compliance was poor. Interview of adolescents and young adults with chronic illnesses has shown preference for the use of electronic devices and online tools for disease management.Thus, use of sophisticated electronic devices such as FitBits© (wireless pedometers worn on the wrist that sync with cell phones) may improve disease control by engaging young patients in self-monitoring of their own health and lifestyle behaviors. This pilot study aims to determine if use of FitBits© coupled with provider feedback will increase awareness of young adults of their physical fitness and improve blood pressure levels.

Interventions

DEVICEFitBit

Daily use of physical activity tracker coupled with biweekly provider telemonitoring and feedback for 6 months and then additionally without feedback for an additional 6 months

Sponsors

University of California, San Francisco
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
8 Years to 30 Years
Healthy volunteers
No

Inclusion criteria

* ages 8-30 receiving anti-hypertensive therapy at the time of recruitment. * diabetes, non-dialysis requiring chronic kidney disease, kidney transplant, or other etiologies of hypertension * have phones compatible for wireless device (FitBits©) data transmission

Exclusion criteria

* history of decompensated congestive heart failure * pregnant * cognitive impairment * unable to perform physical activity * BP \>180/110 mm Hg * prisoners * contraindication to use or wear of home activity tracker (such as allergy to activity tracker band) * presence of any co-morbidity that would preclude physical activity * actively using physical activity tracking devices prior to the study will be excluded.

Design outcomes

Primary

MeasureTime frameDescription
Change in Mean Office Systolic BPBetween baseline and month 12Change in mean systolic BP is modeled using all blood pressure data points collected between baseline and month 12 to provide an average change over time, accounting for repeated values from patients using a mixed linear regression approach.

Secondary

MeasureTime frameDescription
Number of Participants RetainedMonths 0-12Rate of study participant retention
Change in Weight (Z-score)Months 0-12Weights were measured in clinic using a standardized scale. Z score of 0 represents the population mean. A z-score of +1.96 represents the 95th percentile of weight and -1.96 represents the 5th percentile of weight. Change in weight (z-score) is modeled using all weight data points collected between baseline and month 12 to provide an average change over time accounting for repeated values from patients using a mixed linear regression approach.

Countries

United States

Participant flow

Participants by arm

ArmCount
Usual Care Arm
Usual care x 6 months, then crossover to physical activity tracker x 6 months
21
Intervention Arm
Physical activity tracker x 12 months
42
Total63

Baseline characteristics

CharacteristicUsual Care ArmIntervention ArmTotal
Age, Continuous18.0 years
STANDARD_DEVIATION 4.4
17.6 years
STANDARD_DEVIATION 3.9
17.7 years
STANDARD_DEVIATION 4
Estimated glomerular filtration rate81 mL/min/1.73 m^2
STANDARD_DEVIATION 35
81 mL/min/1.73 m^2
STANDARD_DEVIATION 25
81 mL/min/1.73 m^2
STANDARD_DEVIATION 28
Ethnicity (NIH/OMB)
Hispanic or Latino
11 Participants19 Participants30 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
10 Participants23 Participants33 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Region of Enrollment
United States
21 participants42 participants63 participants
Sex: Female, Male
Female
12 Participants15 Participants27 Participants
Sex: Female, Male
Male
9 Participants27 Participants36 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 210 / 210 / 42
other
Total, other adverse events
0 / 210 / 210 / 42
serious
Total, serious adverse events
0 / 210 / 210 / 42

Outcome results

Primary

Change in Mean Office Systolic BP

Change in mean systolic BP is modeled using all blood pressure data points collected between baseline and month 12 to provide an average change over time, accounting for repeated values from patients using a mixed linear regression approach.

Time frame: Between baseline and month 12

ArmMeasureValue (MEAN)
Usual CareChange in Mean Office Systolic BP0.3 mmHg
Physical Activity TrackerChange in Mean Office Systolic BP-4 mmHg
Primary

Change in Mean Office Systolic BP

Change in mean systolic BP using blood pressure data points collected between baseline and month 6 to provide an average change over time

Time frame: Between baseline and month 6

ArmMeasureValue (MEAN)
Usual CareChange in Mean Office Systolic BP3.0 mmHg
Physical Activity TrackerChange in Mean Office Systolic BP-2.3 mmHg
Secondary

Change in Weight (Z-score)

Weights were measured in clinic using a standardized scale. Z score of 0 represents the population mean. A z-score of +1.96 represents the 95th percentile of weight and -1.96 represents the 5th percentile of weight. Change in weight (z-score) is modeled using all weight data points collected between baseline and month 12 to provide an average change over time accounting for repeated values from patients using a mixed linear regression approach.

Time frame: Months 0-12

ArmMeasureValue (MEAN)
Usual CareChange in Weight (Z-score)-0.20 Z-score
Physical Activity TrackerChange in Weight (Z-score)-0.06 Z-score
Secondary

Number of Participants Retained

Rate of study participant retention

Time frame: Months 0-12

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Usual CareNumber of Participants Retained11 Participants
Physical Activity TrackerNumber of Participants Retained18 Participants

Source: ClinicalTrials.gov · Data processed: Feb 8, 2026