Evidence map›Paper›PMID 26362511›Full record

ArticleJMIR research protocols2015

The Walking Interventions Through Texting (WalkIT) Trial: Rationale, Design, and Protocol for a Factorial Randomized Controlled Trial of Adaptive Interventions for Overweight and Obese, Inactive Adults.

Jane C Hurley, Kevin E Hollingshead, Michael Todd, Catherine L Jarrett, Wesley J Tucker, Siddhartha S Angadi, Marc A Adams

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR research protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02053259 nacompletednot on this map

Walking Intervention Through Texting Study: A Factorial Trial

TypeinterventionalSponsorArizona State UniversityRan2014 to 2018Enrolled96ConditionsPhysical Activity, Behavior, Overweight, Motor ActivityArmsAdaptive Goals, Reinforcement, Static Goals
NCT04906499 nacompletednot on this mapstarted 2021, after this paper: background citation

Preventing Posttraumatic Osteoarthritis With Physical Activity Promotion

TypeinterventionalSponsorUniversity of North Carolina, Chapel HillRan2021 to 2022Enrolled7ConditionsAnterior Cruciate Ligament Injuries, Exercise, Cartilage, Articular, Knee InjuriesArmsPhysical Activity Promotion
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Walking Green: Developing an Evidence Base for Nature Prescriptions.International journal of environmental research and public health · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jane C HurleyExercise Science and Health Promotion, School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ, United States.ORCID http://orcid.org/0000-0002-1197-0585

Funding

WalkIT: Neighborhood walkability and moderation of adaptive walking interventionsR01CA198915 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ADAMS, MARC A · 2015 to 2019
$2.8M
NCI NIH HHS R01 CA198915
6 · The paper itself

Abstract

backgroundWalking is a widely accepted and frequently targeted health promotion approach to increase physical activity (PA). Interventions to increase PA have produced only small improvements. Stronger and more potent behavioral intervention components are needed to increase time spent in PA, improve cardiometabolic risk markers, and optimize health.

objectiveOur aim is to present the rationale and methods from the WalkIT Trial, a 4-month factorial randomized controlled trial (RCT) in inactive, overweight/obese adults. The main purpose of the study was to evaluate whether intensive adaptive components result in greater improvements to adults' PA compared to the static intervention components.

methodsParticipants enrolled in a 2x2 factorial RCT and were assigned to one of four semi-automated, text message-based walking interventions. Experimental components included adaptive versus static steps/day goals, and immediate versus delayed reinforcement. Principles of percentile shaping and behavioral economics were used to operationalize experimental components. A Fitbit Zip measured the main outcome: participants' daily physical activity (steps and cadence) over the 4-month duration of the study. Secondary outcomes included self-reported PA, psychosocial outcomes, aerobic fitness, and cardiorespiratory risk factors assessed pre/post in a laboratory setting. Participants were recruited through email listservs and websites affiliated with the university campus, community businesses and local government, social groups, and social media advertising.

resultsThis study has completed data collection as of December 2014, but data cleaning and preliminary analyses are still in progress. We expect to complete analysis of the main outcomes in late 2015 to early 2016.

conclusionsThe Walking Interventions through Texting (WalkIT) Trial will further the understanding of theory-based intervention components to increase the PA of men and women who are healthy, insufficiently active and are overweight or obese. WalkIT is one of the first studies focusing on the individual components of combined goal setting and reward structures in a factorial design to increase walking. The trial is expected to produce results useful to future research interventions and perhaps industry initiatives, primarily focused on mHealth, goal setting, and those looking to promote behavior change through performance-based incentives.

trial registrationClinicalTrials.gov NCT02053259; https://clinicaltrials.gov/ct2/show/NCT02053259 (Archived by WebCite at http://www.webcitation.org/6b65xLvmg).

Indexed as

exerciseFitbitinactivejust in time adaptive interventionsmHealthoverweightpercentile schedule of reinforcementSMStext messaging

Identifiers

PMID26362511
PMCPMC4704955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.