ClinicalTrials.gg
CompletedNCT03325426Updated Apr 2, 2024Results posted

Activity Trackers for Improving BP

An interventional study of FitBit in Hypertension, Cardiovascular Risk Factor and Physical Activity, sponsored by University of California, San Francisco. Completed at 1 site in United States. Open to participants aged 8 Years to 30 Years. Per ClinicalTrials.gov, last updated 2024-04-02.

Sponsored by University of California, San Francisco · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Registered 4 months after the study started (first participant enrolled Jun 2017, registered Oct 2017).
Phase
Not applicable
Study type
Interventional
Enrollment
63
Allocation
Randomized
Ages
8 Years to 30 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 33 studies in Hypertension by University of California, San Francisco — 5 open to participants now, 7 under way, none of them phase 3. Hypertension · University of California, San Francisco.

Enrollment
26th of 32
63 · median 463
Started
2017
with 3 others
No phase
28 of 33
4 open now
Registered
14th of 33
by date

Among the 33 studies in Hypertension by University of California, San Francisco, this one is the 26th largest by enrollment of the 32 interventional ones that give a count, is one of 4 that started in 2017, is one of 28 with no phase, and was the 14th registered.

Hypertension

6,114 studies on the registry are indexed under Hypertension; 912 are open to participants now.

Browse Hypertension studies →

Open to participants now

5 of the 33 studies in Hypertension by University of California, San Francisco are open now, in 2 countries. Recruiting first, the newest first:

By country, each count listing its studies:

All 5 open studies →

Where they have run

Who these studies take

Of the 564 Hypertension studies recruiting now, 266 (47%) set no upper age limit and 200 (35%) stop at 75 or younger; 40 take children under 18; 138 take healthy volunteers.

This study: 8 Years to 30 Years · all sexes · no healthy volunteers.

The full table on the hub →

This tab as a report to print or save as PDF → With an account.

Was this useful?
Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 33 studies in Hypertension by University of California, San Francisco, or all of them as a file.
02

Study 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.

Read the 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.

03

Conditions studied

  • Hypertension
  • Cardiovascular Risk Factor
  • Physical Activity
  • Chronic Kidney Diseases
04

Who can participate

Ages eligible
8 Years to 30 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

Exclusion Criteria:

  • history of decompensated congestive heart failure
  • pregnant
  • cognitive impairment
  • unable to perform physical activity
  • BP >180/110 mm Hg
  • prisoners
  • 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.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
63 participants (actual)

Study arms

  • 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)

    Device: FitBit

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

    Also known as: physical activity tracker

06

What researchers measure

Primary outcomes

  1. 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

  2. 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

Secondary outcomes

  1. Number of Participants Retained

    Rate of study participant retention

    Time frame: Months 0-12

  2. 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

07

Results

Posted Jul 14, 2022

Participant flow

Participant flow — Overall Study
MilestoneUsual CarePhysical Activity Tracker
Started2142
Completed1118
Not completed1024

Outcome measures

PrimaryChange 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
Reported as:
Mean · mmHg
Change in Mean Office Systolic BP
mmHgUsual CarePhysical Activity Tracker
Change in Mean Office Systolic BP0.3 (-10 to 10)-4 (-14 to 6)
SecondaryNumber of Participants Retained

Rate of study participant retention

Time frame:
Months 0-12
Reported as:
Count of participants · Participants
Number of Participants Retained
ParticipantsUsual Care ArmIntervention Arm
Number of Participants Retained1118
SecondaryChange 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
Reported as:
Mean · Z-score
Change in Weight (Z-score)
Z-scoreUsual CarePhysical Activity Tracker
Change in Weight (Z-score)-0.20 (-0.34 to -0.07)-0.06 (-0.17 to 0.05)
PrimaryChange 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
Reported as:
Mean · mmHg
Change in Mean Office Systolic BP
mmHgUsual CarePhysical Activity Tracker
Change in Mean Office Systolic BP3.0 (-2.5 to 8.4)-2.3 (-6.5 to 1.8)

Adverse events

Collected over Participants were followed during participation in the study for 1 year. Non-serious events are listed at a 5% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Usual Care Arm (mo. 0-6)0/21 (0%)0/21 (0%)0/21 (0%)
Usual Care Arm (mo. 6-12)0/21 (0%)0/21 (0%)0/21 (0%)
Intervention Arm0/42 (0%)0/42 (0%)0/42 (0%)

Baseline characteristics

Age, Continuous
Age, Continuous(years)Usual Care ArmIntervention ArmTotal
Mean18.0 ± 4.417.6 ± 3.917.7 ± 4.0
Sex: Female, Male
Sex: Female, Male(Participants)Usual Care ArmIntervention ArmTotal
Female121527
Male92736
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Usual Care ArmIntervention ArmTotal
Hispanic or Latino111930
Not Hispanic or Latino102333
Unknown or Not Reported000
Region of Enrollment
Region of Enrollment(participants)Usual Care ArmIntervention ArmTotal
United States214263
Estimated glomerular filtration rate
Estimated glomerular filtration rate(mL/min/1.73 m^2)Usual Care ArmIntervention ArmTotal
Mean81 ± 3581 ± 2581 ± 28
08

Study locations

1 site
  • University of California, San Francisco
    San Francisco, California 94143, United States
09

References and documents

Publications

  • 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. PubMed 24529535 ↗
  • 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. PubMed 17765133 ↗
  • 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. PubMed 21115879 ↗
  • 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/ PubMed 22439158 ↗
  • 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. PubMed 22422539 ↗
  • 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. PubMed 25092645 ↗
  • 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. PubMed 24648129 ↗
  • 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. PubMed 20980426 ↗
  • 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. PubMed 23740658 ↗
  • 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. PubMed 22089460 ↗
  • 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. PubMed 24268570 ↗
  • 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. PubMed 24352797 ↗
  • 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. PubMed 15193909 ↗
  • 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. PubMed 15699287 ↗
  • 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. PubMed 24591341 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No

10

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Jun 2017 to primary completion in Jan 2021, 43 months.

Results were first posted in Jul 2022, 1 year 6 months after primary completion.

Of 1,403 non-industry interventional studies with no phase under Hypertension, half reached primary completion within 23 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 41. This study's 43 months is above that.

Counting every sponsor, half of 1,498 studies reached it within 23 months; a quarter within 10 and three quarters within 41.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 25, 2017
First posted
Oct 30, 2017
StartActual
Jun 1, 2017
Primary completionActual
Jan 1, 2021
CompletionActual
Jan 1, 2021
Results first posted
Jul 14, 2022
Last update
Apr 2, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 2, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03325426
Responsible party
Sponsor
First posted
Oct 30, 2017
Start date
Jun 1, 2017
Primary completion
Jan 1, 2021
Completion
Jan 1, 2021
Results posted
Jul 14, 2022
Last update
Apr 2, 2024

Study contacts

Elaine Ku
principal investigator · University of California, San Francisco

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Mar 2024. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion