Evidence map›Paper›PMID 37582736›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2023

The moderating impact of neighborhood walkability on mHealth interventions to increase moderate to vigorous physical activity for insufficiently active adults in a randomized trial.

Mindy L McEntee, Jane C Hurley, Christine B Phillips, Steven P Hooker, Michael Todd, Lawrence D Frank, Marc A Adams

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02717663 (WalkIT), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% of its field
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.

NCT02717663 nacompletednot on this map

WalkIT: Neighborhood Walkability and Moderation of Adaptive Walking Interventions

TypeinterventionalSponsorArizona State UniversityRan2016 to 2020Enrolled512ConditionsPhysical Activity, Behavior, GoalsArmsAdaptive Goals, Static Goals, Delayed (non-contingent) Incentives, Immediate Micro-Incentives
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Trial
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 at 5 institutions in 1 country.

Mindy L McEnteeCollege of Health Solutions, Arizona State University, 425 North 5th Street, MC9020, Phoenix, AZ, 85004, USA.
Jane C HurleyCollege of Health Solutions, Arizona State University, 425 North 5th Street, MC9020, Phoenix, AZ, 85004, USA.
Christine B PhillipsDepartment of Psychology, Clemson University, Clemson, SC, USA.
Steven P HookerCollege of Health and Human Services, San Diego State University, San Diego, CA, USA.
Michael ToddCollege of Nursing and Health Innovations, Arizona State University, Phoenix, AZ, USA.
Lawrence D FrankDepartment of Urban Studies and Planning, University of California San Diego, San Diego, CA, USA.
Marc A AdamsCollege of Health Solutions, Arizona State University, 425 North 5th Street, MC9020, Phoenix, AZ, 85004, USA. marc.adams@asu.edu.ORCID http://orcid.org/0000-0001-6310-1472
Arizona State University · USClemson University · USHealth Innovations (United States) · USSan Diego State University · USUniversity of California San Diego · US

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

backgroundEcological models suggest that interventions targeting specific behaviors are most effective when supported by the environment. This study prospectively examined the interactions between neighborhood walkability and an mHealth intervention in a large-scale, adequately powered trial to increase moderate-to-vigorous physical activity (MVPA).

methodsHealthy, insufficiently active adults (N = 512) were recruited purposefully from census block groups ranked on walkability (high/low) and socioeconomic status (SES, high/low). Participants were block-randomized in groups of four to WalkIT Arizona, a 12-month, 2 × 2 factorial trial evaluating adaptive versus static goal setting and immediate versus delayed financial reinforcement delivered via text messages. Participants wore ActiGraph GT9X accelerometers daily for one year. After recruitment, a walkability index was calculated uniquely for every participant using a 500-m street network buffer. Generalized linear mixed-effects hurdle models tested for interactions between walkability, intervention components, and phase (baseline vs. intervention) on: (1) likelihood of any (versus no) MVPA and (2) daily MVPA minutes, after adjusting for accelerometer wear time, neighborhood SES, and calendar month. Neighborhood walkability was probed at 5th, 25th, 50th, 75th, and 95th percentiles to explore the full range of effects.

resultsAdaptive goal setting was more effective in increasing the likelihood of any MVPA and daily MVPA minutes, especially in lower walkable neighborhoods, while the magnitude of intervention effect declined as walkability increased. Immediate reinforcement showed a greater increase in any and daily MVPA compared to delayed reinforcement, especially relatively greater in higher walkable neighborhoods.

conclusionsResults partially supported the synergy hypotheses between neighborhood walkability and PA interventions and suggest the potential of tailoring interventions to individuals' neighborhood characteristics.

trial registrationPreregistered at clinicaltrials.gov (NCT02717663).

Indexed as

Health PromotionNeighborhood CharacteristicsTelemedicineWalkingActigraphyAdultArizonaFemaleHumansLinear ModelsMaleMiddle AgedEcological modelsmHealth interventionModerate-to-vigorous physical activityNeighborhood walkabilityPhysical activity

Identifiers

PMID37582736
PMCPMC10428579
OpenAlexW4385839493

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.