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Mobile Health Technology for Obesity

N/A
Recruiting
Led By Tiffany M Powell-Wiley, M.D.
Research Sponsored by National Heart, Lung, and Blood Institute (NHLBI)
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
African-American female
Overweight or obese (BMI >= 25 kg/m2)
Timeline
Screening 3 weeks
Treatment Varies
Follow Up up to 6 months
Awards & highlights

Study Summary

This trial will test if mobile health technology can help African American women exercise more and reduce heart disease risk.

Who is the study for?
This trial is for African American women aged 21-75 who are overweight or obese, live in specific areas near Washington, DC, and have a compatible smartphone. They must be able to consent and willing to use the app and wear a physical activity device. Pregnant women or those with certain medical conditions like heart disease can't join.Check my eligibility
What is being tested?
The study tests if mobile health technology like apps, wearable devices, and Bluetooth-enabled health monitors can help increase physical activity to reduce obesity and improve cardiovascular health among participants living in resource-limited neighborhoods.See study design
What are the potential side effects?
Since this trial involves non-invasive technology such as mobile apps and wearable devices rather than medication, traditional side effects are not expected. However, there may be privacy concerns regarding data collection or potential stress from constant health monitoring.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below
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I am an African-American woman.
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My BMI is 25 or higher, indicating I am overweight or obese.
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I am between 21 and 75 years old.

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~up to 6 months
This trial's timeline: 3 weeks for screening, Varies for treatment, and up to 6 months for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
The difference in physical activity (PA) change between an adaptive intervention with remote coaching tailored to neighborhood resources (referred to as tailored-to-place coaching) versus beginning w/ standard remote coaching
Secondary outcome measures
Determine which embedded adaptive interventions produce the largest PA increase
Examine the effect of an adaptive community-based intervention targeting Physical Activity on Cardiovascular health measures
Examine the feasibility of incorporating methods for remote capture of CV health measures
+3 more

Trial Design

2Treatment groups
Experimental Treatment
Group I: Group 2 Label: PA monitor with standard remote coaching (SRC)Experimental Treatment4 Interventions
African American women who are at risk for cardiovascular outcomes in resource-limited communities in the Washington D.C. area.
Group II: Group 1 Label: PA monitor with remote coaching tailored to placeExperimental Treatment4 Interventions
African American women who are at risk for cardiovascular outcomes in resource-limited communities in the Washington D.C. area.

Find a Location

Who is running the clinical trial?

National Heart, Lung, and Blood Institute (NHLBI)Lead Sponsor
3,840 Previous Clinical Trials
47,851,859 Total Patients Enrolled
251 Trials studying Obesity
205,791 Patients Enrolled for Obesity
George Washington UniversityOTHER
243 Previous Clinical Trials
453,509 Total Patients Enrolled
3 Trials studying Obesity
582 Patients Enrolled for Obesity
Tiffany M Powell-Wiley, M.D.Principal InvestigatorNational Heart, Lung, and Blood Institute (NHLBI)
2 Previous Clinical Trials
450 Total Patients Enrolled
1 Trials studying Obesity
200 Patients Enrolled for Obesity

Media Library

Step it Up mobile app Clinical Trial Eligibility Overview. Trial Name: NCT03288207 — N/A
Obesity Research Study Groups: Group 2 Label: PA monitor with standard remote coaching (SRC), Group 1 Label: PA monitor with remote coaching tailored to place
Obesity Clinical Trial 2023: Step it Up mobile app Highlights & Side Effects. Trial Name: NCT03288207 — N/A
Step it Up mobile app 2023 Treatment Timeline for Medical Study. Trial Name: NCT03288207 — N/A

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.

Is this medical investigation still open to new enrollees?

"According to the information on clinicaltrials.gov, this medical study is currently enrolling patients. It was first posted on June 21st 2018 and its most recent update was done on June 14th 2023."

Answered by AI

Is this research project accepting applicants aged 80 and above?

"As per the stated requirements of this trial, participants must be within a particular age range. The minimum is 21 years old while the maximum is 75."

Answered by AI

What is the highest possible capacity of participants for this trial?

"Affirmative, according to clinicaltrials.gov this investigation is presently enrolling participants. It was initially posted on June 21st 2018 and the information was most recently updated on June 14th 2023. The trial needs 265 patients from a single site."

Answered by AI

Can I submit an application to take part in this experiment?

"This medical trial is looking to enrol 265 people aged 21-75 with obesity. Moreover, applicants must be willing to wear a wrist-worn physical activity device and self-identify as an African-American female."

Answered by AI

What key goals are this trial attempting to achieve?

"The objective of this clinical trial, monitored over a baseline and 6 month period, is to assess if introducing an adaptive intervention with remote coaching adapted to local resources (“tailored-to-place”) leads to greater changes in physical activity levels (in terms of steps/day). Secondary metrics include analysing the feasibility for measuring psychosocial variables linked to cardiovascular health outcomes; studying exposure to COVID-19 and its associated psychological stressors as potential confounding factors on immunologic outcomes; and examining whether it's possible capture remotely essential cardiac wellness information such as weight, blood pressure or glucose from the target population."

Answered by AI
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~30 spots leftby Feb 2025