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    Forearm to fingertip skin temperature gradients in the thermoneutral zone were significantly related to resting metabolic rate: potential implications for nutrition research

    Access Status
    Fulltext not available
    Authors
    Pathak, K.
    Calton, E.
    Soares, Mario
    Zhao, Y.
    James, A.
    Keane, K.
    Newsholme, P.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Pathak, K. and Calton, E. and Soares, M. and Zhao, Y. and James, A. and Keane, K. and Newsholme, P. 2017. Forearm to fingertip skin temperature gradients in the thermoneutral zone were significantly related to resting metabolic rate: potential implications for nutrition research. European Journal of Clinical Nutrition.
    Source Title
    European Journal of Clinical Nutrition
    DOI
    10.1038/ejcn.2017.30
    ISSN
    0954-3007
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/52190
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 Macmillan Publishers Limited, part of Springer Nature.Background:Resting metabolic rate (RMR) should be measured in the thermoneutral zone (TNZ). Forearm to fingertip skin temperature gradients (FFG) could serve as an objective measure of this pre-condition.Subjects/Methods:Eighty-six adult Australians were studied at 25?°C in a temperature-controlled chamber. Measurements of overnight fasted RMR, respiratory quotient (RQ) and FFG were complemented by clinical biochemistry. McAuley’s Index of insulin sensitivity (McA_ISI) and presence of metabolic syndrome was determined. Physical activity was estimated from the short version of the International Physical Activity Questionnaire. Fat mass (FM) and fat-free mass (FFM) were obtained from dual-energy x-ray absorptiometry. Twenty-nine participants were assessed for changes in RMR (?RMR), RQ (?RQ) and FFG (?FFG) following a 6-month free-living period. Multiple linear regression analyses of RMR and RQ on FFG, and of ?RMR and ?RQ on ?FFG were conducted after controlling for 12 known determinants of energy metabolism.Results:There were wide between-subject variations in unadjusted FFG ranging from -4.25 to +7.8?°C. The final parsimonious model for cross-sectional observations of RMR included age, FM, FFM, McA_ISI and FFG (ß=63 kJ/d (95% confidence interval (CI): 14.2, 112.1, P=0.012)). However, FFG was unrelated to RQ.In the longitudinal cohort, adjusted ?RMR significantly associated only with ?FFG (ß=100?kJ/d (95% CI: 10.3, 189.1; P=0.030)), and adjusted ?RQ associated with ?FFG (-0.003 (95% CI: -0.005, 0.0002, P=0.038)), age and McA_ISI.Conclusions:Sizeable between-subject variations in FFG at 25?°C were associated with RMR and RQ. Monitoring FFG may serve as an objective assessment of the TNZ during RMR measurements.European Journal of Clinical Nutrition advance online publication, 5 April 2017; doi:10.1038/ejcn.2017.30.

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