Evidence map›Paper›PMID 32458761›Full record

ArticleJournal of the American Heart Association2020

Accuracy of Nonexercise Prediction Equations for Assessing Longitudinal Changes to Cardiorespiratory Fitness in Apparently Healthy Adults: BALL ST Cohort.

James E Peterman, Matthew P Harber, Mary T Imboden, Mitchell H Whaley, Bradley S Fleenor, Jonathan Myers, Ross Arena, W Holmes Finch, Leonard A Kaminsky

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.4field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Nonexercise Estimation of V̇OEuropean journal of sport science · 2025
    Article
  6. V̇OInternational journal of obesity (2005) · 2025
    Article
  7. Article
  8. Prediction of maximum oxygen uptake over time in adults: analysis from the FRIEND registry.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Cardiorespiratory Fitness and Its Place in Medicine.Reviews in cardiovascular medicine · 2023
    Review
  15. Improved VOJournal of cardiovascular development and disease · 2022
    Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article
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

9 authors at 4 institutions in 1 country.

James E PetermanFisher Institute of Health and Well-Being Ball State University Muncie IN.
Matthew P HarberClinical Exercise Physiology Laboratory Ball State University Muncie IN.
Mary T ImbodenHealth and Human Performance Department George Fox University Newberg OR.
Mitchell H WhaleyCollege of Health Ball State University Muncie IN.
Bradley S FleenorClinical Exercise Physiology Laboratory Ball State University Muncie IN.
Jonathan MyersDivision of Cardiology Veterans Affairs Palo Alto Healthcare System and Stanford University Palo Alto CA.
Ross ArenaDepartment of Physical Therapy College of Applied Science University of Illinois Chicago IL.
W Holmes FinchDepartment of Educational Psychology Ball State University Muncie IN.
Leonard A KaminskyFisher Institute of Health and Well-Being Ball State University Muncie IN.
Ball State University · USGeorge Fox University · USUniversity of Illinois Urbana-Champaign · USVA Palo Alto Health Care System · US

Funding

RRD VA IK6 RX002477
6 · The paper itself

Abstract

Background Repeated assessment of cardiorespiratory fitness (CRF) improves mortality risk predictions in apparently healthy adults. Accordingly, the American Heart Association suggests routine clinical assessment of CRF using, at a minimum, nonexercise prediction equations. However, the accuracy of nonexercise prediction equations over time is unknown. Therefore, we compared the ability of nonexercise prediction equations to detect changes in directly measured CRF. Methods and Results The sample included 987 apparently healthy adults from the BALL ST (Ball State Adult Fitness Longitudinal Lifestyle Study) cohort (33% women; average age, 43.1±10.4 years) who completed 2 cardiopulmonary exercise tests ≥3 months apart (3.2±5.4 years of follow-up). The change in estimated CRF (eCRF) from 27 distinct nonexercise prediction equations was compared with the change in directly measured CRF. Analysis included Pearson product moment correlations, SEE values, intraclass correlation coefficient values, Cohen's κ coefficients, γ coefficients, and the Benjamini-Hochberg procedure to compare eCRF with directly measured CRF. The change in eCRF from 26 of 27 equations was significantly associated to the change in directly measured CRF (

Indexed as

AlgorithmsCardiorespiratory FitnessExercise TestModels, TheoreticalAdolescentAdultAgedAged, 80 and overFemaleHealth StatusHealthy VolunteersHumansLongitudinal StudiesMaleMiddle AgedOxygen Consumptioncardiopulmonary exercise testexercise testfitness algorithmmaximum oxygen consumptionprognosis

Identifiers

PMID32458761
PMCPMC7428991
OpenAlexW3028798614

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.