Evidence map›Paper›PMID 36862471›Full record

ArticleHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2023

Dose-response relations between the frequency of two types of momentary feedback prompts and daily physical activity.

David E Conroy, Jingchuan Wu, Alexandra M Lee, Deborah Brunke-Reese, Constantino M Lagoa

Open access · hybridAbstract read
In one paragraph

Article in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  7. Review
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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

5 authors at 1 institution in 1 country.

David E ConroyDepartment of Kinesiology, The Pennsylvania State University.ORCID 0000-0003-0204-4093
Jingchuan WuDepartment of Kinesiology, The Pennsylvania State University.
Alexandra M LeeDepartment of Kinesiology, The Pennsylvania State University.
Deborah Brunke-ReeseDepartment of Kinesiology, The Pennsylvania State University.
Constantino M LagoaSchool of Electrical Engineering & Computer Science, The Pennsylvania State University.
Pennsylvania State University · US

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
Phase 1 clinical trial to develop a personalized adaptive text message intervention using control systems engineering tools to increase physical activity in early adulthoodR01HL142732 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI CONROY, DAVID E., LAGOA, CONSTANTINO MANUEL · 2018 to 2021
$2.4M
NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR002014NHLBI NIH HHS R01 HL142732NIH HHS
6 · The paper itself

Abstract

objectiveSelf-monitoring and behavioral feedback are widely used to help people monitor progress toward daily physical activity goals. Little information exists about the optimal dosing parameters for these techniques or if they are interchangeable in digital physical activity interventions. This study used a within-person experimental design to evaluate associations between the frequency of two different prompt types (one for each technique) and daily physical activity.

methodInsufficiently active young adults were assigned monthly physical activity goals and wore smartwatches with activity trackers for 3 months. They received zero to six randomly selected and timed watch-based prompts each day, with individual prompts either providing behavioral feedback or prompting the participant to self-monitor.

resultsPhysical activity increased significantly over the 3-month period (step counts d = 1.03; moderate-to-vigorous physical activity duration d = 0.99). Mixed linear models revealed that daily step counts were positively associated with the frequency of daily self-monitoring prompts up to approximately three prompts/day (d = 0.22) after which additional prompts provided minimal or reduced benefit. Daily step counts were not associated with the frequency of behavioral feedback prompts. Daily moderate-to-vigorous physical activity was not associated with the frequency of either prompt.

conclusionsSelf-monitoring and behavioral feedback are not interchangeable behavior change techniques in digital physical activity interventions, and only self-monitoring prompts show signs of a dose-response association with physical activity volume. Activity trackers, such as smartwatches and mobile apps, should provide an option to replace behavioral feedback prompts with self-monitoring prompts to promote physical activity among insufficiently active young adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Indexed as

Behavior TherapyFitness TrackersDatabases, FactualFeedbackHumansLinear ModelsYoung Adult

Identifiers

PMID36862471
PMCPMC10015600
OpenAlexW4322757755

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.