Evidence map›Paper›PMID 33887825›Full record

ArticlePhysical activity and nutrition2021

Prediction of non-exercise activity thermogenesis (NEAT) using multiple linear regression in healthy Korean adults: a preliminary study.

Won-Sang Jung, Hun-Young Park, Sung-Woo Kim, Jisu Kim, Hyejung Hwang, Kiwon Lim

Abstract read
In one paragraph

Article in Physical activity and nutrition, 2021. 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
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5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study.Inquiry : a journal of medical care organization, provision and financing
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4 · The record

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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

6 authors.

Won-Sang JungPhysical Activity and Performance Institute (PAPI), Konkuk University, Seoul, Republic of Korea.
Hun-Young ParkPhysical Activity and Performance Institute (PAPI), Konkuk University, Seoul, Republic of Korea.
Sung-Woo KimPhysical Activity and Performance Institute (PAPI), Konkuk University, Seoul, Republic of Korea.
Jisu KimPhysical Activity and Performance Institute (PAPI), Konkuk University, Seoul, Republic of Korea.
Hyejung HwangPhysical Activity and Performance Institute (PAPI), Konkuk University, Seoul, Republic of Korea.
Kiwon LimPhysical Activity and Performance Institute (PAPI), Konkuk University, Seoul, Republic of Korea.

Funding

Ministry of EducationNational Research Foundation of Korea 2019S1A5B8099542
6 · The paper itself

Abstract

purposeThis preliminary study aimed to develop a regression model to estimate the non-exercise activity thermogenesis (NEAT) of Korean adults using various easy-to-measure dependent variables.

methodsNEAT was measured in 71 healthy adults (male n = 29; female n = 42). Statistical analysis was performed to develop a NEAT estimation regression model using the stepwise regression method.

resultsWe confirmed that ageA, weightB, heart rate (HR)_averageC, weight × HR_averageD, weight × HR_sumE, systolic blood pressure (SBP) × HR_restF, fat mass ÷ height2G, gender × HR_averageH, and gender × weight × HR_sumI were important variables in various NEAT activity regression models. There was no significant difference between the measured NEAT values obtained using a metabolic gas analyzer and the predicted NEAT.

conclusionThis preliminary study developed a regression model to estimate the NEAT in healthy Korean adults. The regression model was as follows: sitting = 1.431 - 0.013 × (A) + 0.00014 × (D) - 0.00005 × (F) + 0.006 × (H); leg jiggling = 1.102 - 0.011 × (A) + 0.013 × (B) + 0.005 × (H); standing = 1.713 - 0.013 × (A) + 0.0000017 × (I); 4.5 km/h walking = 0.864 + 0.035 × (B) + 0.0000041 × (E); 6.0 km/h walking = 4.029 - 0.024 × (C) + 0.00071 × (D); climbing up 1 stair = 1.308 - 0.016 × (A) + 0.00035 × (D) - 0.000085 × (F) - 0.098 × (G); and climbing up 2 stairs = 1.442 - 0.023 × (A) - 0.000093 × (F) - 0.121 × (G) + 0.0000624 × (E).

Indexed as

algorithm modelestimation equationheart rateNEATnon-exercise activity thermogenesisregression coefficient

Identifiers

PMID33887825
PMCPMC8076582

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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.