Evidence map›Paper›PMID 36238379›Full record

ArticleNutrition research and practice2022

Energy cost of walking in older adults: accuracy of the ActiGraph accelerometer predictive equations.

Didace Ndahimana, Ye-Jin Kim, Cui-Sang Wang, Eun-Kyung Kim

Abstract read
In one paragraph

Article in Nutrition research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Moderate-intensity stepping in older adults: insights from treadmill walking and daily living.The international journal of behavioral nutrition and physical activity · 2023
    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

4 authors.

Didace NdahimanaDepartment of Food and Nutrition, Gangneung-Wonju National University, Gangneung 25457, Korea.ORCID https://orcid.org/0000-0001-7070-3973
Ye-Jin KimDepartment of Food and Nutrition, Gangneung-Wonju National University, Gangneung 25457, Korea.ORCID https://orcid.org/0000-0003-0678-6297
Cui-Sang WangDepartment of Food and Nutrition, Gangneung-Wonju National University, Gangneung 25457, Korea.ORCID https://orcid.org/0000-0002-6622-8644
Eun-Kyung KimDepartment of Food and Nutrition, Gangneung-Wonju National University, Gangneung 25457, Korea.ORCID https://orcid.org/0000-0003-1292-7586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesVarious accelerometer equations are used to predict energy expenditure (EE). On the other hand, the development of these equations and their validation studies have been conducted primarily without including older adults. This study assessed the accuracy of 8 ActiGraph accelerometer equations to predict the energy cost of walking in older adults. SUBJECTS/

methodsThirty-one participants with a mean age of 74.3 ± 3.3 yrs were enrolled in this study (20 men and 11 women). The participants completed 8 walking activities, including 5 treadmill and 3 self-paced walking activities. The EE was measured using a portable indirect calorimeter, with each participant simultaneously wearing the ActiGraph accelerometer. Eight ActiGraph equations were assessed for accuracy by comparing the predicted EE with indirect calorimetry results.

resultsAll equations resulted in an overall underestimation of the EE across the activities (bias -1 to -1.8 kcal·min

conclusionsThe ActiGraph equations underestimated the EE for walking activities in older adults. In addition, these equations inaccurately classified the activities based on their intensities. The present study suggests a need to develop ActiGraph equations specific to older adults.

Indexed as

elderlyenergy expenditurePhysical activity

Identifiers

PMID36238379
PMCPMC9523204

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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.