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. 2019 Feb 13:12:1178638819829724.
doi: 10.1177/1178638819829724. eCollection 2019.

The Utility of Forearm to Fingertip Skin Temperature Gradients During Measurements of Resting Energy Expenditure

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The Utility of Forearm to Fingertip Skin Temperature Gradients During Measurements of Resting Energy Expenditure

Mario John Soares et al. Nutr Metab Insights. .

Abstract

The measurement of resting energy expenditure (REE) is important to both human physiology and nutrition. There are several pre-conditions for the proper measurement of REE, but a key criterion is that it takes place in the thermoneutral zone (TNZ). Deciding whether a person is in his or her TNZ is not an easy task, and a suggested way forward is the monitoring of forearm to fingertip skin temperature gradients (FFG). In this commentary, we highlight our recent findings that FFG varies between individuals even when measured at a temperature within TNZ. Interestingly, FFG showed a consistent direct relationship with adjusted REE, in both cross-sectional and longitudinal study designs. In addition, we provide new findings that FFG is sensitive to small ambient temperature variations within the TNZ, in comparison to visual analogue scale (VAS)-derived subjective measures of thermal comfort. While further research is needed in this area, our view is measurements of FFG should be included in REE protocols. This would inform investigators on how their participants are responding to the ambient room temperature and also allow appropriate statistical adjustments in REE for between-group comparisons.

Keywords: forearm to fingertip temperature gradient; resting energy expenditure; thermogenesis; thermoneutral zone; vasoconstriction.

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Conflict of interest statement

Declaration of conflicting interests:The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Relationship of adjusted RMR to FFG: cross sectional data. Blue line: linear regression line with r2 = 0.065; P = .018; red line: cubic regression line with r2 = 0.107; P = .025. RMR (resting metabolic rate equivalent to REE) was adjusted for age, fat mass, fat free mass, and insulin sensitivity. Reproduced with permission from Pathak et al.

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