Precision Public Health: Enhancing Connections to Develop Just-in-Time Adaptive Intervention Strategies

NCT ID: NCT03836391

Last Updated: 2019-11-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

53 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-02-12

Study Completion Date

2019-09-16

Brief Summary

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The purpose of this pilot study is to examine the effects of different types of just-in-time intervention messages on daily meeting dietary, activity, and weighing goals in a sample of young adults participating in a mobile-based weight loss program.

Detailed Description

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Public health interventions typically rely on a set schedule of intervention delivery. Advances in technology and computer tailoring allow us to go from a "one size fits all" approach to one that uses digital health data to deliver "just-in-time adaptive interventions," or JITAIs, that can vary the timing, dose, and content of intervention messages to individuals. This pilot study is a micro-randomized trial that evaluates the effects of various intervention message options delivered in JIT moments on meeting dietary, activity, and weighing goals among young adults in a mobile-based weight loss program.

The Nudge study is a 12-week mobile health weight loss program delivered via a native smartphone application. Individuals are asked to track their red foods (high-calorie, high-fat foods) in the app daily and meet their personalized red foods goal, wear a Fitbit daily and meet their daily active minutes goal, and weigh daily on their WiFi-enabled scale. Up to 4 times each day, participants are randomized to receive or not receive intervention messages in order to examine the effects of these intervention message types on meeting daily weighing goals, red food goals, and activity goals. This is a within-subjects design in which each participant serves as their own control, and data is analyzed at the person-day level.

Conditions

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Overweight and Obesity Overweight Obesity

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Each participant-time point is randomized between intervention message or no intervention message
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Nudge Intervention

Each of 7 intervention message options has specific decision rules (including weighed/not weighed and progress toward daily dietary and activity goals) that make a participant eligible to receive a specific intervention type at a specific time (decision points).

At each decision point (early morning, morning, midday, and evening), the system evaluates which intervention options a participant is eligible to receive, and randomly chooses one intervention option from that list. Then the participant is randomly assigned to either receive or not receive that intervention message (with a 50-50 probability).

Group Type EXPERIMENTAL

Nudge

Intervention Type BEHAVIORAL

Nudge is a smartphone-app-based micro-randomized trial that tests the effect of 7 intervention message types based on behavior change techniques on daily goal attainment. Participants have three daily goals: weigh daily, red foods goal, and active minutes goal.

Interventions

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Nudge

Nudge is a smartphone-app-based micro-randomized trial that tests the effect of 7 intervention message types based on behavior change techniques on daily goal attainment. Participants have three daily goals: weigh daily, red foods goal, and active minutes goal.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Age 18-35
* BMI of 25-40 kg/m²
* Not adhering to the US physical activity guidelines of at least 150 moderate-to-vigorous intensity activity minutes/week
* English-speaking and writing
* No pre-existing medical condition(s) that preclude adherence to an unsupervised exercise program, diabetes treated with insulin, history of heart attack or stroke, current treatment for cancer, or inability to walk for exercise
* Has an iPhone with iOS 11 (or willing to download it) with internet access and text messaging plan
* Has home wireless access compatible with Fitbit Aria 2 scale (802.11b/g/n)

Exclusion Criteria

* Current participation in another physical activity or weight control program
* Currently pregnant, pregnant in last 6 months, or planning pregnancy in next 3 months
* Report a heart condition, chest pain during periods of activity or rest, loss of consciousness, joint or bone problems, or prescription medicine usage for blood pressure or heart condition on the Physical Activity Readiness Questionnaire (PAR-Q)
* Health or psychological diagnoses that preclude participation in a prescribed dietary and exercise program, including diagnosis of schizophrenia or bipolar disorder, hospitalization for a psychiatric diagnosis in the past year, diagnosis of alcohol or substance abuse
* Occupation requires primarily night shift work
* Owns and uses a physical activity tracker
* Moving out of area in next 4 months
* Out of town for a week or more during study period
* Not willing to attend two study visits
Minimum Eligible Age

18 Years

Maximum Eligible Age

35 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of North Carolina, Chapel Hill

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Deborah F Tate, PhD

Role: PRINCIPAL_INVESTIGATOR

University of North Carolina, Chapel Hill

Carmina G Valle, PhD

Role: PRINCIPAL_INVESTIGATOR

University of North Carolina, Chapel Hill

Locations

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Department of Health Behavior, University of North Carolina, Chapel Hill

Chapel Hill, North Carolina, United States

Site Status

Countries

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United States

References

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Valle CG, Nezami BT, O'Shea NG, Hatley KE, Tate DF. Outcomes of a pilot microrandomized trial of just-in-time adaptive intervention messages nudging weight-related behaviors in young adults. Digit Health. 2025 Jul 6;11:20552076251353267. doi: 10.1177/20552076251353267. eCollection 2025 Jan-Dec.

Reference Type DERIVED
PMID: 40631347 (View on PubMed)

Other Identifiers

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16-0775

Identifier Type: -

Identifier Source: org_study_id

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