Evidence map›Paper›PMID 29350279›Full record

ArticleEuropean journal of applied physiology2018

Evaluation of the convergent validity of an estimated cardiorespiratory fitness algorithm.

Paul D Loprinzi, Meghan K Edwards, Ovuokerie Addoh, John P Bentley

Abstract readEvaluation Study
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In one paragraph

Article in European journal of applied physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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.

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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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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

4 authors.

Paul D LoprinziPhysical Activity Epidemiology Laboratory, Department of Health, Exercise Science and Recreation Management, School of Applied Sciences, The University of Mississippi, 229 Turner Center, University, MS, 38677, USA. pdloprin@olemiss.edu.
Meghan K EdwardsPhysical Activity Epidemiology Laboratory, Department of Health, Exercise Science and Recreation Management, School of Applied Sciences, The University of Mississippi, 229 Turner Center, University, MS, 38677, USA.
Ovuokerie AddohPhysical Activity Epidemiology Laboratory, Department of Health, Exercise Science and Recreation Management, School of Applied Sciences, The University of Mississippi, 229 Turner Center, University, MS, 38677, USA.
John P BentleyDepartment of Pharmacy Administration, School of Pharmacy, The University of Mississippi, 225 Faser Hall, University, MS, 38677, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExamine the convergent validity of a cardiorespiratory fitness (CRF) algorithm when compared to treadmill-assessed CRF.

methodsData from the 1999-2004 NHANES were used (N = 3259 adults 20-49 years). Cardiorespiratory fitness was estimated from an algorithm. Participants completed a submaximal treadmill-based protocol. We (1) evaluated the pairwise association (and ICC) between estimated and measured cardiorespiratory fitness, (2) employed a paired samples t test to examine potential mean differences between estimated and measured cardiorespiratory fitness, (3) constructed a Bland-Altman plot and 95% limits of agreement (LoA) to explore systematic differences and random error between estimated and measured cardiorespiratory fitness, and (4) examined the association (via linear regression) of estimated and measured cardiorespiratory fitness with chronic disease prevalence and C-reactive protein (CRP).

resultsMean estimated CRF (10.68 METs) was lower than the mean measured CRF of 11.37 METs (p < 0.0001). The calculated pairwise correlation was of a moderate strength, r = 0.43 (p < 0.0001), with an ICC of 0.40 (p < 0.001). Calculated LoA indicated that estimated CRF may differ from measured CRF by 40% below to 48% above. Regression analyses yielded statistically significant inverse associations of estimated (unstandardized coefficient = - 0.026; p < 0.001) and measured (unstandardized coefficient = - 0.007; p = 0.002) CRF with chronic disease and estimated (unstandardized coefficient = - 0.08; p < 0.001) and measured (unstandardized coefficient = - 0.03; p < 0.001) CRF with CRP.

conclusionMeasured and estimated CRF were moderately correlated. However, estimated and measured CRF were statistically significant different from one another with noteworthy scatter around the average difference. As such, when feasible, objective measurements of CRF should be taken.

Indexed as

AlgorithmsCardiorespiratory FitnessAdultCardiovascular DiseasesExercise TestFemaleHumansMaleMiddle AgedReference ValuesCardiovascular diseaseClinical guidelinesConvergent validityPrediction equationsSurvival

Identifiers

PMID29350279

What OpenQuestion holds

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Registered trials

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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.