- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03325426
Activity Trackers for Improving BP
March 7, 2024 updated by: University of California, San Francisco
ACtivity Trackers to ImproVe Blood Pressure: a Pilot Study
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.
Study Overview
Status
Completed
Intervention / Treatment
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.
Study Type
Interventional
Enrollment (Actual)
63
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
California
-
San Francisco, California, United States, 94143
- University of California, San Francisco
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
8 years to 30 years (Child, Adult)
Accepts Healthy Volunteers
No
Description
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.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Usual care
No physical activity tracker or feedback x 6 months, then crossover to physical activity tracker x 6 months
|
|
|
Experimental: Physical activity tracker
Physical activity tracker x 12 months (6 months with study feedback and 6 months without)
|
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
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Mean Office Systolic BP
Time Frame: Between baseline and month 12
|
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.
|
Between baseline and month 12
|
|
Change in Mean Office Systolic BP
Time Frame: Between baseline and month 6
|
Change in mean systolic BP using blood pressure data points collected between baseline and month 6 to provide an average change over time
|
Between baseline and month 6
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of Participants Retained
Time Frame: Months 0-12
|
Rate of study participant retention
|
Months 0-12
|
|
Change in Weight (Z-score)
Time Frame: Months 0-12
|
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.
|
Months 0-12
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Elaine Ku, University of California, San Francisco
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, Jones DW, Kurtz T, Sheps SG, Roccella EJ. Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation. 2005 Feb 8;111(5):697-716. doi: 10.1161/01.CIR.0000154900.76284.F6.
- James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC Jr, Svetkey LP, Taler SJ, Townsend RR, Wright JT Jr, Narva AS, Ortiz E. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014 Feb 5;311(5):507-20. doi: 10.1001/jama.2013.284427. Erratum In: JAMA. 2014 May 7;311(17):1809.
- Logan AG, McIsaac WJ, Tisler A, Irvine MJ, Saunders A, Dunai A, Rizo CA, Feig DS, Hamill M, Trudel M, Cafazzo JA. Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients. Am J Hypertens. 2007 Sep;20(9):942-8. doi: 10.1016/j.amjhyper.2007.03.020.
- Cohen DL, Huan Y, Townsend RR. Home blood pressure monitoring in CKD. Am J Kidney Dis. 2014 May;63(5):835-42. doi: 10.1053/j.ajkd.2013.12.015. Epub 2014 Feb 12.
- Agarwal R, Bills JE, Hecht TJ, Light RP. Role of home blood pressure monitoring in overcoming therapeutic inertia and improving hypertension control: a systematic review and meta-analysis. Hypertension. 2011 Jan;57(1):29-38. doi: 10.1161/HYPERTENSIONAHA.110.160911. Epub 2010 Nov 29.
- Uhlig K, Balk EM, Patel K, Ip S, Kitsios GD, Obadan NO, Haynes SM, Stefan M, Rao M, Kong Win Chang L, Gaylor J, Iovin RC. Self-Measured Blood Pressure Monitoring: Comparative Effectiveness [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2012 Jan. Report No.: 12-EHC002-EF. Available from http://www.ncbi.nlm.nih.gov/books/NBK84604/
- Akber A, Portale AA, Johansen KL. Pedometer-assessed physical activity in children and young adults with CKD. Clin J Am Soc Nephrol. 2012 May;7(5):720-6. doi: 10.2215/CJN.06330611. Epub 2012 Mar 15.
- Mohammed J, Deda L, Clarson CL, Stein RI, Cuerden MS, Mahmud FH. Assessment of habitual physical activity in adolescents with type 1 diabetes. Can J Diabetes. 2014 Aug;38(4):250-5. doi: 10.1016/j.jcjd.2014.05.010.
- Akber A, Portale AA, Johansen KL. Use of pedometers to increase physical activity among children and adolescents with chronic kidney disease. Pediatr Nephrol. 2014 Aug;29(8):1395-402. doi: 10.1007/s00467-014-2787-6. Epub 2014 Mar 20.
- Negri C, Bacchi E, Morgante S, Soave D, Marques A, Menghini E, Muggeo M, Bonora E, Moghetti P. Supervised walking groups to increase physical activity in type 2 diabetic patients. Diabetes Care. 2010 Nov;33(11):2333-5. doi: 10.2337/dc10-0877.
- Applebaum MA, Lawson EF, von Scheven E. Perception of transition readiness and preferences for use of technology in transition programs: teens' ideas for the future. Int J Adolesc Med Health. 2013;25(2):119-25. doi: 10.1515/ijamh-2013-0019.
- Ting TV, Kudalkar D, Nelson S, Cortina S, Pendl J, Budhani S, Neville J, Taylor J, Huggins J, Drotar D, Brunner HI. Usefulness of cellular text messaging for improving adherence among adolescents and young adults with systemic lupus erythematosus. J Rheumatol. 2012 Jan;39(1):174-9. doi: 10.3899/jrheum.110771. Epub 2011 Nov 15.
- Takacs J, Pollock CL, Guenther JR, Bahar M, Napier C, Hunt MA. Validation of the Fitbit One activity monitor device during treadmill walking. J Sci Med Sport. 2014 Sep;17(5):496-500. doi: 10.1016/j.jsams.2013.10.241. Epub 2013 Oct 31.
- Tudor-Locke C, Pangrazi RP, Corbin CB, Rutherford WJ, Vincent SD, Raustorp A, Tomson LM, Cuddihy TF. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev Med. 2004 Jun;38(6):857-64. doi: 10.1016/j.ypmed.2003.12.018.
- Flynn JT, Daniels SR, Hayman LL, Maahs DM, McCrindle BW, Mitsnefes M, Zachariah JP, Urbina EM; American Heart Association Atherosclerosis, Hypertension and Obesity in Youth Committee of the Council on Cardiovascular Disease in the Young. Update: ambulatory blood pressure monitoring in children and adolescents: a scientific statement from the American Heart Association. Hypertension. 2014 May;63(5):1116-35. doi: 10.1161/HYP.0000000000000007. Epub 2014 Mar 3. No abstract available.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 1, 2017
Primary Completion (Actual)
January 1, 2021
Study Completion (Actual)
January 1, 2021
Study Registration Dates
First Submitted
October 25, 2017
First Submitted That Met QC Criteria
October 25, 2017
First Posted (Actual)
October 30, 2017
Study Record Updates
Last Update Posted (Actual)
April 2, 2024
Last Update Submitted That Met QC Criteria
March 7, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 16-18605
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
Yes
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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