Evidence map›Paper›PMID 28720556›Full record

ArticleJournal of medical Internet research2017

Ecological Momentary Assessment of Physical Activity: Validation Study.

Gregory Knell, Kelley Pettee Gabriel, Michael S Businelle, Kerem Shuval, David W Wetter, Darla E Kendzor

2 registry-linked trialsAbstract read
In one paragraph

Article in Journal of medical Internet research, 2017. 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 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 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.

NCT05167877 completednot on this mapstarted 2023, after this paper: background citation

Studying Aging, Mobility and Chronic Low Back Pain in Older Adults Using Remote Monitoring

TypeobservationalSponsorMcMaster UniversityRan2023 to 2024Enrolled30ConditionsLow Back Pain, Chronic PainArmsNo intervention will be given to the participants
NCT06372275 nacompletednot on this mapstarted 2024, after this paper: background citation

Reframing Health Behavior Change: A Randomized Controlled Trial of a Relational Frame Theory (RFT)-Informed Values Intervention for Health

TypeinterventionalSponsorMississippi State UniversityRan2024 to 2025Enrolled70ConditionsHealth-Related BehaviorArmsValues Clarification Mobile Application, Self-Reflection Mobile Application
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

6 authors.

Gregory KnellMichael and Susan Dell Center for Healthy Living, Department of Health Promotion and Behavioral Sciences, University of Texas Health Science Center (UTHealth) at Houston, Houston, TX, United States.ORCID 0000-0002-5067-544X
Kelley Pettee GabrielMichael and Susan Dell Center for Healthy Living, Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Science Center (UTHealth) at Houston, Austin, TX, United States.ORCID 0000-0003-4986-7927
Michael S BusinelleDepartment of Family and Preventive Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0002-9038-2238
Kerem ShuvalAmerican Cancer Society, Department of Intramural Research, Atlanta, GA, United States.ORCID 0000-0002-4740-0509
David W WetterHuntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-4013-1932
Darla E KendzorDepartment of Family and Preventive Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0002-7273-1916

Funding

BEHAVIORAL SCIENCE EDUCATION--CANCER PREVENTION/CONTROLR25CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MULLEN, PATRICIA DOLAN · 1992 to 2017
$8.6M
NCI NIH HHS R25 CA057712
6 · The paper itself

Abstract

backgroundEcological momentary assessment (EMA) may elicit physical activity (PA) estimates that are less prone to bias than traditional self-report measures while providing context.

objectivesThe objective of this study was to examine the convergent validity of EMA-assessed PA compared with accelerometry.

methodsThe participants self-reported their PA using International Physical Activity Questionnaire (IPAQ) and Behavioral Risk Factor Surveillance System (BRFSS) and wore an accelerometer while completing daily EMAs (delivered through the mobile phone) for 7 days. Weekly summary estimates included sedentary time and moderate-, vigorous-, and moderate-to vigorous-intensity physical activity (MVPA). Spearman coefficients and Lin's concordance correlation coefficients (LCC) examined the linear association and agreement for EMA and the questionnaires as compared with accelerometry.

resultsParticipants were aged 43.3 (SD 13.1) years, 51.7% (123/238) were African American, 74.8% (178/238) were overweight or obese, and 63.0% (150/238) were low income. The linear associations of EMA and traditional self-reports with accelerometer estimates were statistically significant (P<.05) for sedentary time (EMA: ρ=.16), moderate-intensity PA (EMA: ρ=.29; BRFSS: ρ=.17; IPAQ: ρ=.24), and MVPA (EMA: ρ=.31; BRFSS: ρ=.17; IPAQ: ρ=.20). Only EMA estimates of PA were statistically significant compared with accelerometer for agreement.

conclusionsThe mobile EMA showed better correlation and agreement to accelerometer estimates than traditional self-report methods. These findings suggest that mobile EMA may be a practical alternative to accelerometers to assess PA in free-living settings.

Indexed as

Ecological Momentary AssessmentAdultExerciseFemaleHumansMaleReproducibility of ResultsYoung Adultaccelerometrybehavioral risk factor surveillance systemdata accuracyecological momentary assessmentself-report

Identifiers

PMID28720556
PMCPMC5539388

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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.