Evidence map›Paper›PMID 31063868›Full record

ArticleContemporary clinical trials2019

Rationale, design, and baseline characteristics of WalkIT Arizona: A factorial randomized trial testing adaptive goals and financial reinforcement to increase walking across higher and lower walkable neighborhoods.

Marc A Adams, Jane C Hurley, Christine B Phillips, Michael Todd, Siddhartha S Angadi, Vincent Berardi, Melbourne F Hovell, Steven Hooker

Abstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

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  9. The Impact of Monetary Incentives on Delay Discounting Within a Year-Long Physical Activity Intervention.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2024
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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

8 authors.

Marc A AdamsCollege of Health Solutions, Arizona State University, 425 N. 5(th) Street, Phoenix, AZ 85004, United States of America. Electronic address: Marc.Adams@asu.edu.
Jane C HurleyCollege of Health Solutions, Arizona State University, 425 N. 5(th) Street, Phoenix, AZ 85004, United States of America.
Christine B PhillipsCollege of Health Solutions, Arizona State University, 425 N. 5(th) Street, Phoenix, AZ 85004, United States of America.
Michael ToddCollege of Nursing and Health Innovations, Arizona State University, 500 North 3rd Street, Phoenix, AZ 85004, United States of America.
Siddhartha S AngadiCollege of Health Solutions, Arizona State University, 425 N. 5(th) Street, Phoenix, AZ 85004, United States of America.
Vincent BerardiDepartment of Psychology, Crean School of Health and Behavioral Sciences, Chapman University, One University Drive, Orange, CA 92866, United States of America.
Melbourne F HovellCollege of Health and Human Services, San Diego State University, San Diego, CA 92182-4124, United States of America.
Steven HookerCollege of Health and Human Services, San Diego State University, San Diego, CA 92182-4124, United States of America.

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

Little change over the decades has been seen in adults meeting moderate-to-vigorous physical activity (MVPA) guidelines. Numerous individual-level interventions to increase MVPA have been designed, mostly static interventions without consideration for neighborhood context. Recent technologies make adaptive interventions for MVPA feasible. Unlike static interventions, adaptive intervention components (e.g., goal setting) adjust frequently to an individual's performance. Such technologies also allow for more precise delivery of "smaller, sooner incentives" that may result in greater MVPA than "larger, later incentives". Combined, these factors could enhance MVPA adoption. Additionally, a central tenet of ecological models is that MVPA is sensitive to neighborhood environment design; lower-walkable neighborhoods constrain MVPA adoption and maintenance, limiting the effects of individual-level interventions. Higher-walkable neighborhoods are hypothesized to enhance MVPA interventions. Few prospective studies have addressed this premise. This report describes the rationale, design, intervention components, and baseline sample of a study testing individual-level adaptive goal-setting and incentive interventions for MVPA adoption and maintenance over 2 years among adults from neighborhoods known to vary in neighborhood walkability. We scaled these evidenced-based interventions and tested them against static-goal-setting and delayed-incentive comparisons in a 2 × 2 factorial randomized trial to increase MVPA among 512 healthy insufficiently-active adults. Participants (64.3% female, M age = 45.5 ± 9.1 years, M BMI = 33.9 ± 7.3 kg/m

Indexed as

EnvironmentGoalsMotivationWalkingAdultArizonaBuilt EnvironmentFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicResearch DesignResidence CharacteristicsSocial ClassSocioeconomic FactorsAdaptive interventionsBuilt environmentFinancial incentivesPhysical activityRewards

Identifiers

PMID31063868
PMCPMC6544173

What OpenQuestion holds

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Registered trials

None linked

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.