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Increased Monitoring of Physical Activity and Calories With Technology

Not Applicable
Completed
Conditions
Weight Change, Body
Obesity, Childhood
Parent-Child Relations
Behavior, Health
Interventions
Behavioral: Brenner mFIT (standard care)
Behavioral: Brenner mFIT (standard care plus mobile health components)
Registration Number
NCT03961061
Lead Sponsor
Wake Forest University Health Sciences
Brief Summary

Since severe obesity in youth has been steadily increasing. Specialized pediatric obesity clinics provide programs to aid in reducing obesity. Since the home environment and parental behavioral modeling are two of the strongest predictors of child weight loss during behavioral weight loss interventions, a family-based treatment approach is best. This strategy has been moderately successful in our existing, evidence-based pediatric weight management program, Brenner Families In Training (Brenner FIT). However, since programs such as Brenner Families in Training rely on face-to-face interactions and delivery, they are sometimes by the time constraints experienced by families. Therefore, the purpose of this study is to develop and pilot a tailored, mobile health component to potentially increase the benefits seen by Brenner FIT standard program components and similar pediatric weight management programs.

Detailed Description

For this project, we will randomize 80 youth with obesity (13 - 18yrs) and a caregiver (dyads) to the Brenner Families in Training (FIT) group or the Brenner Families in Training Mobile (mFIT) group. All youth participants will receive a commercially available activity monitor. Caregivers will receive podcasts with a story about a caregiver supporting weight loss in a child by providing healthy foods/activities for his/her family, including healthy eating and physical activity information. Children will receive animated videos that contain healthy eating and physical activity messaging, with an engaging story of a child losing weight. All participants will have access to a website and mobile apps where they will track weight, diet, and physical activity for themselves (youth) or their child (parents). Based on their reports of weight, eating, and physical activity, the messaging received from clinical staff by the families will be individually tailored to promote healthy behaviors and overcome perceived barriers. The proposed research is innovative in that it explicitly incorporates theory into the intervention and evaluation components of the project and builds upon an existing literature on mobile health interventions that use mobile technology.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
28
Inclusion Criteria

Youth with obesity, 13 - 18yrs, who are enrolled or eligible to enroll in Brenner Families in Training (FIT). Caregivers must live in the home with their youth participants. Obesity is defined a BMI (35.9 +/- 8.6). Participants must also have access to a smartphone or tablet

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Exclusion Criteria

Adolescents under the age of 13 will be excluded. If participants do not have access to a smartphone or tablet, they will not be able to participate.

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Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Brenner FIT (Standard Care)Brenner mFIT (standard care)Adolescents will participate in Brenner Families in Training along with their caregiver. They will receive all components of standard Brenner FIT treatments.
Brenner mFIT (standard care plus mobile health components)Brenner mFIT (standard care plus mobile health components)Adolescents will participate in Brenner Families in Training along with their caregiver. Brenner mFIT (Families in Training + mobile health) includes all components of the standard Brenner FIT
Primary Outcome Measures
NameTimeMethod
BMI Percentile6 months

The weight status of youth will be quantified through the calculation of BMI derived from the measurement of height and weight at the intake and follow-up visits. Both height (plus/minus 0.1 cm) and weight(plus/minus 0.5 kg) will be recorded twice, and values will be averaged to produce the final value using a digital scale and a stadiometer. BMI will be calculated as kg/m2. BMI z-score will be calculated using CDC growth charts and converted to BMI-for-age percentile based on CDC growth charts for children and teens ages 2 through 19. According to the CDC, a child with a BMI percentile less than the 5th percentile is underweight, between the 5th percentile and less than the 85th percentile is at a "healthy weight," over the 85th percentile to less than the 95th percentile has overweight, and above the 95th percentile has obesity.

Secondary Outcome Measures
NameTimeMethod
Physical Activity Via Accelerometry (Bouts of Physical Activity)6 months

Physical activity data will be collected using ActiGraph (trademark) accelerometers worn continuously over 7 days except during bathing and sleeping.

ASA24 Automated Self Administered 24 Hour Dietary Assessment Tool6 months

To assess diet in participating youth, we will use NCI's automated, self-administered 24-hour dietary recall, the Automated Self-Administered 24-hour (ASA24 (registered trademark) dietary assessment tool (version: ASA24-2016) on three, non-consecutive days (including one weekend day).

Caloric intake will be expressed in kilocalories in order to compare dietary behavior following the delivery of some program components. There are no specific ranges.

Economic Costs of the Two Intervention ArmsThrough study completion (6 months)

Clinical costs of the mHealth intervention will be compiled over the duration of the program. The number of participants reflects the number who remained in the program. Since the data refer to the costs of the participants' care and were not collected directly from the participants, the number of participants analyzed is not consistent with the other outcome measures. The intervention cost was calculated at the group level and not per participant.

Trial Locations

Locations (1)

Brenner Children's Hospital

🇺🇸

Winston-Salem, North Carolina, United States

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