Evidence map›Paper›PMID 33781618›Full record

ArticleAmerican journal of preventive medicine2021

Validity of the Exercise Vital Sign Tool to Assess Physical Activity.

Jennifer L Kuntz, Deborah R Young, Brian E Saelens, Lawrence D Frank, Richard T Meenan, John F Dickerson, Erin M Keast, Stephen P Fortmann

Registry-linked trialAbstract read
In one paragraph

Article in American journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06533345 (MERCI Chronic Pain Research Clinic), which is not on this map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–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.

NCT06533345 narecruitingnot on this mapstarted 2024, after this paper: background citation

MERCI Chronic Pain Research Clinic (Medical Education and Research in Compassionate Integration/Intervention)

TypeinterventionalSponsorEdward Via Virginia College of Osteopathic MedicineRan2024 to 2027Enrolled120ConditionsChronic PainArmsBehavior Change Coaching, Nutrition, Autonomic Recalibration, Dry Needling, Osteopathic Manipulative Treatment
3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

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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.

Jennifer L KuntzCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon. Electronic address: jennifer.l.kuntz@kpchr.org.
Deborah R YoungDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Brian E SaelensSeattle Children's Research Institute, University of Washington, Seattle, Washington.
Lawrence D FrankUrban Design 4 Health, Inc., Rochester, New York; Health & Community Design Lab, UBC School of Population & Public Health and School of Community and Regional Planning, The University of British Columbia, Vancouver, British Columbia, Canada.
Richard T MeenanCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon.
John F DickersonCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon.
Erin M KeastCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon.
Stephen P FortmannCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon.

Funding

Health and Economic Effects of Light Rail Lines: A Natural ExperimentR01DK103385 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI FORTMANN, STEPHEN PAUL · 2014 to 2018
$3.3M
NIDDK NIH HHS R01 DK103385
6 · The paper itself

Abstract

introductionAssessment and counseling by healthcare providers can successfully increase physical activity; however, a valid instrument to effectively measure physical activity is needed. This study examines the validity of the Exercise Vital Sign tool by comparing Exercise Vital Sign data collected at Kaiser Permanente Northwest with accelerometry data.

methodsParticipants (n=521) completed accelerometer monitoring and had ≥1 Exercise Vital Sign measurement in their electronic medical record. Using accelerometry as the gold standard, the association between moderate-to-vigorous physical activity minutes per week estimated through Exercise Vital Sign and that estimated through accelerometry was examined using the Spearman correlation coefficient. Comparability of moderate-to-vigorous physical activity categories (inactive, lowly active, moderately active, sufficiently active) was assessed using simple and weighted κ statistics. Sensitivity, specificity, and positive and negative predictive values were calculated. The study was conducted in 2012-2015, with analysis in 2019-2020.

resultsAverage accelerometry-based moderate-to-vigorous physical activity was 212 minutes per week, and 57% of the participants were considered sufficiently active. Exercise Vital Sign‒based moderate-to-vigorous physical activity averaged 170 minutes per week, and 53% of the participants were active. There was a positive correlation between the moderate-to-vigorous physical activity minutes per week reported through Exercise Vital Sign and that reported through accelerometry (r =0.38, p<0.0001). A fair agreement was observed between Exercise Vital Sign‒ and accelerometry-based moderate-to-vigorous physical activity categories (weighted κ=0.29), with the highest agreement occurring for those with physical activity level ≥150 minutes per week. The positive correlation increased when moderate-to-vigorous physical activity was examined dichotomously (<150 or ≥150 minutes per week, κ=0.34). The sensitivity, specificity, positive predictive value, and negative predictive value for Exercise Vital Sign (when compared with those of accelerometry) were 67%, 68%, 61%, and 73%, respectively.

conclusionsThe Exercise Vital Sign is a useful physical activity assessment tool that correctly identifies the majority of adults who do and do not meet physical activity guidelines.

Indexed as

AccelerometryExerciseAdultHealth PersonnelHumansSedentary BehaviorSurveys and QuestionnairesVital Signs

Identifiers

PMID33781618
PMCPMC8154650

What OpenQuestion holds

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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.