Literature DB >> 35081314

ARTE index revisited: linking biomarkers of cardiometabolic health with free-living physical activity in postmenopausal women.

Stephen J Carter1,2, Marissa N Baranauskas1, Harshvardhan Singh3, Catia Martins4,5,6, Gary R Hunter6.   

Abstract

Activity-related energy expenditure (AEE) correlates with physical activity volume; however, between-person differences in body size and walking economy (net V̇o2) can influence AEE. The ratio of total energy expenditure (TEE) and resting energy expenditure (REE) estimates physical activity level (PAL) relative to body mass, yet does not account for variance in walking economy. The activity-related time equivalent (ARTEwalk) circumvents such constraints by adjusting for individual-specific walking economy. Herein, we compared AEE, PAL, and ARTEwalk index in a cohort (n = 81) of postmenopausal women while examining possible associations with biomarkers of cardiometabolic health. Secondary analyses were performed on postmenopausal women dichotomized above/below age group 50th percentile for body fat percent. TEE was reduced by 10% for the thermogenesis of digestion wherein AEE was calculated by subtracting REE from adjusted TEE. PAL was calculated as the ratio of TEE/REE. AEE was divided by the mean net energy expenditure of nongraded walking to calculate the ARTEwalk index. Between-group differences were not detected for AEE or PAL. However, the ARTEwalk index revealed that participants with less adiposity were more physically active (258 ± 149 vs. 198 ± 115 min·day-1; P = 0.046; g = 0.46). AEE and PAL did not correlate with cardiorespiratory fitness or biomarkers of cardiometabolic health. Cardiorespiratory fitness (r = 0.32), arterial elasticity (r = 0.24), total cholesterol/HDL-c ratio (r = -0.22), and body fat% (r = -0.24) were correlated with ARTEwalk. The ARTEwalk index may offer utility in detecting possible differences in physical activity volume among postmenopausal women and appears better associated with cardiometabolic biomarkers compared with AEE or PAL.

Entities:  

Keywords:  aging; cardiovascular; doubly labeled water; exercise; mobility

Mesh:

Substances:

Year:  2022        PMID: 35081314      PMCID: PMC8917908          DOI: 10.1152/ajpregu.00075.2021

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  27 in total

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4.  Exercise Training and Energy Expenditure following Weight Loss.

Authors:  Gary R Hunter; Gordon Fisher; William H Neumeier; Stephen J Carter; Eric P Plaisance
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5.  Validation of the Friedewald formula for the determination of low-density lipoprotein cholesterol compared with beta-quantification in a large population.

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Journal:  Clin Biochem       Date:  2004-09       Impact factor: 3.281

Review 6.  Maximal oxygen intake and independence in old age.

Authors:  R J Shephard
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Review 7.  Assessment of physical activity and energy expenditure: an overview of objective measures.

Authors:  Andrew P Hills; Najat Mokhtar; Nuala M Byrne
Journal:  Front Nutr       Date:  2014-06-16

Review 8.  Measurement Methods for Physical Activity and Energy Expenditure: a Review.

Authors:  Didace Ndahimana; Eun-Kyung Kim
Journal:  Clin Nutr Res       Date:  2017-04-28

9.  Reference standards for body fat measures using GE dual energy x-ray absorptiometry in Caucasian adults.

Authors:  Mary T Imboden; Whitney A Welch; Ann M Swartz; Alexander H K Montoye; Holmes W Finch; Matthew P Harber; Leonard A Kaminsky
Journal:  PLoS One       Date:  2017-04-07       Impact factor: 3.240

10.  Inverse association between changes in energetic cost of walking and vertical accelerations in non-metastatic breast cancer survivors.

Authors:  Stephen J Carter; Laura Q Rogers; Heather R Bowles; Lyse A Norian; Gary R Hunter
Journal:  Eur J Appl Physiol       Date:  2019-09-13       Impact factor: 3.078

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Journal:  Biostatistics       Date:  2022-10-14       Impact factor: 5.279

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