Pediatric ObesityNCT03215641
Is it Helpful to Use Fitbits in a Family Based Weight Loss Program?
A study testing Fitbit in people with Pediatric Obesity, run by Children's Hospital Los Angeles.
Trial summary
This study evaluates the role of personal activity trackers to help improve weight loss or weight maintenance for children and their parents enrolled in a comprehensive weight loss program. Read more about this study
- Who is it for?
- Ages 7 years and olderHealthy volunteers can take part
- Conditions the study is for
- Pediatric Obesity
- What is being tested?
- Fitbit
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 200 participants
- Where
- No sites listed yet
- Study dates
- Aug 2015to Mar 2019
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 7 years and older
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- All individuals enrolled in BodyWorks who are at least 7 years old meet inclusion criteria for this study. there is no maximum age for participation.
Who cannot join
- Unable to wear PAT as described in study protocol Unwilling to wear PAT Unwilling to participate in the study
About this study
Official title: Effect of Personal Activity Trackers on Weight Loss in Children Enrolled in a Comprehensive Behavioral Family Lifestyle Intervention (CBFLI) Program
This study evaluates the role of personal activity trackers to help improve weight loss or weight maintenance for children and their parents enrolled in a comprehensive weight loss program.
Read the detailed description
Childhood obesity rates have tripled in the last 30 years, with as many as 50% of children in the US being obese or overweight. High-intensity comprehensive behavioral family lifestyle intervention (CBFLI) programs have been shown to be among the most effective interventions for weight loss in children. However, these programs are time- and resource-intensive with high rates of recidivism. Personal activity trackers (PAT) provide objectively measured physical activity data and are more reliable than self-report. These devices can also have a motivational impact. The investigators intend to study the effects of these devices and their data on behavior change and weight loss for both parents and children enrolled in a CBFLI program. The investigators will objectively measure the level of activity of both members of the parent-child dyad, explore the relationship between parent-child activity levels and its effect on each other, as well as on overall weight loss or weight maintenance.
- Conditions
- Pediatric Obesity
- Being tested
- Fitbit
- Keywords
- obesity, pediatrics, weight management program, Fitbit, personal activity tracker
- Medical subject headings
- Pediatric Obesity, Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
FitbitDevice
The Fitbit is a consumer-grade personal activity tracker. It is used to track physical activity. Patients will be given devices at the beginning of the study, and they will continue to use it for 7 weeks. Their data will be collected on a weekly basis, and patients will receive feedback on their level of activity based on the Fitbit data.
| Study group | Role | What they receive |
|---|---|---|
| Control | No intervention | The control group families will participate in the standard Body Works weight loss program. They will fill out brief surveys regarding their physical activity on a weekly basis, but otherwise will receive the standard curriculum. they will receive weekly feedback based on their physical activity surveys. |
| Intervention | Experimental | The intervention group families will be given fitbits on the first day of the Body Works program. They will otherwise receive the same curriculum as the control families. the will fill out the same physical activity surveys as the control families. they will receive weekly feedback based on the objectively measured physical activity. Receives: Device: Fitbit |
What is being measured
The primary outcome is the main question the study is designed to answer.
BMI-z score
change in BMI-z score
Measured: Baseline to program completion (~8 weeks)
Secondary outcomes (2)
Impact of fitbit on program attendance
The investigators will evaluate if families that receive fitbits attend more sessions (out of 7 total sessions) by recording their attendance at each session
Measured: Baseline to program completion (~8 weeks)
impact of fitbit on program completion rate
The investigators will evaluate if families that receive fitbits complete the program at a higher rate (completion is defined as having attended at least 4 out of 7 sessions).
Measured: Baseline to program completion (~8 weeks)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Jul 2017
- Study startAug 2015
- Primary completionMar 2019 (estimated)
- Study completionMar 2019 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (14)Papers the sponsor has linked to this study.
- Other trials for Pediatric ObesityStudies of the same condition, open and under way.
- More trials run by Children's Hospital Los AngelesThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Children's Hospital Los Angeles
- Sponsor type
- University, hospital or other
- Collaborators
- Academic Pediatric Association, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
- Responsible party
- Sponsor
- Investigators
- Juan C Espinoza, MD, Principal investigator, Children's Hospital Los Angeles
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03215641
- Sponsor's protocol ID
- CHLA-15-00269
- Other IDs
- R25DK096944
- Status last verified
- Dec 2018
- First submitted
- 20 May 2016
- Last updated
- 31 Dec 2018
- Results posted
- No
- Data monitoring committee
- No
- Individual data sharing
- No
Publications
Wang G, Dietz WH. Economic burden of obesity in youths aged 6 to 17 years: 1979-1999. Pediatrics. 2002 May;109(5):E81-1. doi: 10.1542/peds.109.5.e81.
PubMed 11986487Janicke DM, Steele RG, Gayes LA, Lim CS, Clifford LM, Schneider EM, Carmody JK, Westen S. Systematic review and meta-analysis of comprehensive behavioral family lifestyle interventions addressing pediatric obesity. J Pediatr Psychol. 2014 Sep;39(8):809-25. doi: 10.1093/jpepsy/jsu023. Epub 2014 May 13.
PubMed 24824614Troiano RP, McClain JJ, Brychta RJ, Chen KY. Evolution of accelerometer methods for physical activity research. Br J Sports Med. 2014 Jul;48(13):1019-23. doi: 10.1136/bjsports-2014-093546. Epub 2014 Apr 29.
PubMed 24782483Buttitta M, Iliescu C, Rousseau A, Guerrien A. Quality of life in overweight and obese children and adolescents: a literature review. Qual Life Res. 2014 May;23(4):1117-39. doi: 10.1007/s11136-013-0568-5. Epub 2013 Nov 19.
PubMed 24249217Guinhouya BC, Samouda H, de Beaufort C. Level of physical activity among children and adolescents in Europe: a review of physical activity assessed objectively by accelerometry. Public Health. 2013 Apr;127(4):301-11. doi: 10.1016/j.puhe.2013.01.020. Epub 2013 Apr 10.
PubMed 23582270Lytle LA. Dealing with the childhood obesity epidemic: a public health approach. Abdom Imaging. 2012 Oct;37(5):719-24. doi: 10.1007/s00261-012-9861-y.
PubMed 22395212Trasande L, Elbel B. The economic burden placed on healthcare systems by childhood obesity. Expert Rev Pharmacoecon Outcomes Res. 2012 Feb;12(1):39-45. doi: 10.1586/erp.11.93.
PubMed 22280195Wilks DC, Besson H, Lindroos AK, Ekelund U. Objectively measured physical activity and obesity prevention in children, adolescents and adults: a systematic review of prospective studies. Obes Rev. 2011 May;12(5):e119-29. doi: 10.1111/j.1467-789X.2010.00775.x.
PubMed 20604868Whitlock EP, O'Connor EA, Williams SB, Beil TL, Lutz KW. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010 Feb;125(2):e396-418. doi: 10.1542/peds.2009-1955. Epub 2010 Jan 18.
PubMed 20083531Trasande L, Chatterjee S. The impact of obesity on health service utilization and costs in childhood. Obesity (Silver Spring). 2009 Sep;17(9):1749-54. doi: 10.1038/oby.2009.67. Epub 2009 Mar 19.
PubMed 19300433Oude Luttikhuis H, Baur L, Jansen H, Shrewsbury VA, O'Malley C, Stolk RP, Summerbell CD. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009 Jan 21;(1):CD001872. doi: 10.1002/14651858.CD001872.pub2.
PubMed 19160202Finkelstein EA, Trogdon JG. Public health interventions for addressing childhood overweight: analysis of the business case. Am J Public Health. 2008 Mar;98(3):411-5. doi: 10.2105/AJPH.2007.114991. Epub 2008 Jan 30.
PubMed 18235061Espinoza Salomon JC, Babaei M, Deavenport-Saman A, Solomon O, Wee CP, Durazo-Arvizu R, Sikder A, Shah P, Castillo P, Yin L. Personal Activity Trackers and Family Engagement in a Pediatric Obesity Intervention: Randomized Controlled Trial. JMIR Form Res. 2025 Nov 5;9:e70341. doi: 10.2196/70341.
PubMed 41191864Espinoza JC, Deavenport-Saman A, Solomon O, Chowdhuri S, Wee CP, Azen C, Orozco J, Kreutzer C, Yin L. Not just at school: Inclusion of children with autism spectrum disorder in a weight management program in a community pediatric setting. Autism. 2021 Apr;25(3):642-655. doi: 10.1177/1362361321993710. Epub 2021 Feb 24.
PubMed 33626921
Study at a glance
From the registry record, last updated by the sponsor on 31 Dec 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effect of Personal Activity Trackers on Weight Loss in Children Enrolled in a Comprehensive Behavioral Family Lifestyle Intervention (CBFLI) Program
- ClinicalTrials.gov ID
- NCT03215641
- Acronym / sponsor ID
- CHLA-15-00269
- Conditions
- Pediatric Obesity
- Keywords
- obesity, pediatrics, weight management program, Fitbit, personal activity tracker
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Children's Hospital Los AngelesUniversity, hospital or other
- Collaborators
- Academic Pediatric Association, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
- Study start
- Aug 2015
- Primary completion
- Mar 2019 (estimated)
- Study completion
- Mar 2019 (estimated)
- First posted
- 12 Jul 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study evaluates the role of personal activity trackers to help improve weight loss or weight maintenance for children and their parents enrolled in a comprehensive weight loss program.
Detailed description
Childhood obesity rates have tripled in the last 30 years, with as many as 50% of children in the US being obese or overweight. High-intensity comprehensive behavioral family lifestyle intervention (CBFLI) programs have been shown to be among the most effective interventions for weight loss in children. However, these programs are time- and resource-intensive with high rates of recidivism. Personal activity trackers (PAT) provide objectively measured physical activity data and are more reliable than self-report. These devices can also have a motivational impact. The investigators intend to study the effects of these devices and their data on behavior change and weight loss for both parents and children enrolled in a CBFLI program. The investigators will objectively measure the level of activity of both members of the parent-child dyad, explore the relationship between parent-child activity levels and its effect on each other, as well as on overall weight loss or weight maintenance.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Control | No intervention | –The control group families will participate in the standard Body Works weight loss program. They will fill out brief surveys regarding their physical activity on a weekly basis, but otherwise will receive the standard curriculum. they will receive weekly feedback based on their physical activity surveys. |
| Intervention | Experimental | Device: FitbitThe intervention group families will be given fitbits on the first day of the Body Works program. They will otherwise receive the same curriculum as the control families. the will fill out the same physical activity surveys as the control families. they will receive weekly feedback based on the objectively measured physical activity. |
Who may qualify
- Ages
- 7 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- All individuals enrolled in BodyWorks who are at least 7 years old meet inclusion criteria for this study. there is no maximum age for participation.
Key exclusion criteria (1 listed)
- Unable to wear PAT as described in study protocol Unwilling to wear PAT Unwilling to participate in the study
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| FitbitThe Fitbit is a consumer-grade personal activity tracker. It is used to track physical activity. Patients will be given devices at the beginning of the study, and they will continue to use it for 7 weeks. Their data will be collected on a weekly basis, and patients will receive feedback on their level of activity based on the Fitbit data. | Device | Intervention |
Primary outcome
BMI-z score
Time frame: Baseline to program completion (~8 weeks)
change in BMI-z score
2 secondary outcomes
Impact of fitbit on program attendance
Time frame: Baseline to program completion (~8 weeks)
impact of fitbit on program completion rate
Time frame: Baseline to program completion (~8 weeks)
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 31 Dec 2018.
- Background: PubMed 11986487Wang G, Dietz WH. Economic burden of obesity in youths aged 6 to 17 years: 1979-1999. Pediatrics. 2002 May;109(5):E81-1. doi: 10.1542/peds.109.5.e81.
- Background: PubMed 24824614Janicke DM, Steele RG, Gayes LA, Lim CS, Clifford LM, Schneider EM, Carmody JK, Westen S. Systematic review and meta-analysis of comprehensive behavioral family lifestyle interventions addressing pediatric obesity. J Pediatr Psychol. 2014 Sep;39(8):809-25. doi: 10.1093/jpepsy/jsu023. Epub 2014 May 13.
- Background: PubMed 24782483Troiano RP, McClain JJ, Brychta RJ, Chen KY. Evolution of accelerometer methods for physical activity research. Br J Sports Med. 2014 Jul;48(13):1019-23. doi: 10.1136/bjsports-2014-093546. Epub 2014 Apr 29.
- Background: PubMed 24249217Buttitta M, Iliescu C, Rousseau A, Guerrien A. Quality of life in overweight and obese children and adolescents: a literature review. Qual Life Res. 2014 May;23(4):1117-39. doi: 10.1007/s11136-013-0568-5. Epub 2013 Nov 19.
- Background: PubMed 23582270Guinhouya BC, Samouda H, de Beaufort C. Level of physical activity among children and adolescents in Europe: a review of physical activity assessed objectively by accelerometry. Public Health. 2013 Apr;127(4):301-11. doi: 10.1016/j.puhe.2013.01.020. Epub 2013 Apr 10.
- Background: PubMed 22395212Lytle LA. Dealing with the childhood obesity epidemic: a public health approach. Abdom Imaging. 2012 Oct;37(5):719-24. doi: 10.1007/s00261-012-9861-y.
- Background: PubMed 22280195Trasande L, Elbel B. The economic burden placed on healthcare systems by childhood obesity. Expert Rev Pharmacoecon Outcomes Res. 2012 Feb;12(1):39-45. doi: 10.1586/erp.11.93.
- Background: PubMed 20604868Wilks DC, Besson H, Lindroos AK, Ekelund U. Objectively measured physical activity and obesity prevention in children, adolescents and adults: a systematic review of prospective studies. Obes Rev. 2011 May;12(5):e119-29. doi: 10.1111/j.1467-789X.2010.00775.x.
- Background: PubMed 20083531Whitlock EP, O'Connor EA, Williams SB, Beil TL, Lutz KW. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010 Feb;125(2):e396-418. doi: 10.1542/peds.2009-1955. Epub 2010 Jan 18.
- Background: PubMed 19300433Trasande L, Chatterjee S. The impact of obesity on health service utilization and costs in childhood. Obesity (Silver Spring). 2009 Sep;17(9):1749-54. doi: 10.1038/oby.2009.67. Epub 2009 Mar 19.
- Background: PubMed 19160202Oude Luttikhuis H, Baur L, Jansen H, Shrewsbury VA, O'Malley C, Stolk RP, Summerbell CD. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009 Jan 21;(1):CD001872. doi: 10.1002/14651858.CD001872.pub2.
- Background: PubMed 18235061Finkelstein EA, Trogdon JG. Public health interventions for addressing childhood overweight: analysis of the business case. Am J Public Health. 2008 Mar;98(3):411-5. doi: 10.2105/AJPH.2007.114991. Epub 2008 Jan 30.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Juan C Espinoza, MD principal investigator
Children's Hospital Los Angeles
Questions about this trial
What is this clinical trial studying?
A study testing Fitbit in people with Pediatric Obesity, run by Children's Hospital Los Angeles.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 31 Dec 2018. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
BMI-z score (time frame: Baseline to program completion (~8 weeks)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03215641, which also lists 14 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 Dec 2018.