Evidence map›Paper›PMID 32656608›Full record

ArticleEuropean journal of applied physiology2020

Development and validation of a steep incline and decline metabolic cost equation for steady-state walking.

D E Lankford, Yilin Wu, Jake T Bartschi, John Hathaway, A D Gidley

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Article in European journal of applied physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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.

  1. Article
  2. Treadmill-based submaximal VOTurkish journal of medical sciences · 2025
    Article
  3. Article
  4. Article
  5. 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

5 authors.

D E LankfordDepartment of Human Performance and Recreation, Brigham Young University-Idaho, 525 S. Center St, Rexburg, 83460, USA. eli.lankford@humboldt.edu.ORCID http://orcid.org/0000-0002-1816-5001
Yilin WuDepartment of Human Performance and Recreation, Brigham Young University-Idaho, 525 S. Center St, Rexburg, 83460, USA.
Jake T BartschiDepartment of Human Performance and Recreation, Brigham Young University-Idaho, 525 S. Center St, Rexburg, 83460, USA.
John HathawayDepartment of Human Performance and Recreation, Brigham Young University-Idaho, 525 S. Center St, Rexburg, 83460, USA.
A D GidleyDepartment of Human Physiology, Gonzaga University, Spokane, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to develop and validate a data-supported prediction equation (Lankford equation) for walking metabolic cost ([Formula: see text]), and to compare this equation to the ACSM, Pandolf, Minetti, and LCDA equations. The current study also investigated how kinematics of incline walking relates to mechanical efficiency and metabolic cost.

methodSubjects consisted of 145 recreationally fit individuals. Walking speeds were between 1 AND 3 mph with grades ranging from - 18 to 40%. The Lankford equation was then compared to four other reference equations using adjusted R-squared (R

resultsThe Lankford equation for estimating [Formula: see text] was validated with an adjusted R

conclusionThe Lankford equation is a validated and highly accurate prediction equation for steady-state walking across a wide range of inclines and speeds and is applicable to the general public. Altered leg swing observed above 15% incline was found to account for the mechanical efficiency plateau and the rectilinear increase in [Formula: see text] with increasing incline.

Indexed as

AdultBiomechanical PhenomenaEnergy MetabolismExercise TestFemaleHumansMaleMiddle AgedOxygen ConsumptionWalkingWalking SpeedYoung AdultEnergy expenditureGraded walkingMechanical efficiencyPrediction equationWalking economy

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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.