Activity energy expenditure is an independent predictor of energy intake in humans

Mark Hopkins (Corresponding Author), Cristiana Duarte, Kristine Beaulieu, Graham Finlayson, Catherine Gibbons, Alexandra Johnstone, Stephen Whybrow, Graham W Horgan, John E Blundell, R James Stubbs

Research output: Contribution to journalArticle

Abstract

Background: There is evidence that the energetic demand of metabolically active tissue is associated with day-to-day food intake (EI). However, the extent to which behavioural components of total daily energy expenditure (EE) such as activity energy expenditure (AEE) are also associated with EI is unknown. Therefore, the present study examined the cross-sectional associations between body composition, resting metabolic rate (RMR), AEE and EI. Methods: Data for 242 individuals (114 males; 128 females; BMI = 25.7 ± 4.9 kg/m2) were collated from the baseline control conditions of five studies employing common measures of body composition (air displacement plethysmography) and RMR (indirect calorimetry). Daily EI (weighed-dietary records) and EE (FLEX heart rate) were measured over 6–7 days, and AEE was calculated as total daily EE minus RMR. Results: Linear regression indicated that RMR (ß = 0.39; P < 0.001), fat mass (ß = −0.26; P < 0.001) and AEE (ß = 0.18; P = 0.002) were independent predictors of mean daily EI, with AEE adding ≈3% of variance to the model after controlling for age, sex and study (F(10, 231) = 18.532, P < 0.001; R2 = 0.445). Path analyses indicated that the effect of FFM on mean daily EI was mediated by RMR (P < 0.05), while direct (β = 0.19; P < 0.001) and indirect (β = 0.20; P = 0.001) associations between AEE and mean daily EI were observed.
Original languageEnglish
JournalInternational Journal of Obesity
Early online date18 Jan 2019
DOIs
Publication statusE-pub ahead of print - 18 Jan 2019

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Energy Intake
Energy Metabolism
Basal Metabolism
Body Composition
Diet Records
Indirect Calorimetry
Plethysmography
Linear Models
Cross-Sectional Studies
Eating
Heart Rate
Fats
Air

Keywords

  • feeding behaviour
  • obesity

ASJC Scopus subject areas

  • Nutrition and Dietetics
  • Medicine (miscellaneous)
  • Endocrinology, Diabetes and Metabolism

Cite this

Activity energy expenditure is an independent predictor of energy intake in humans. / Hopkins, Mark (Corresponding Author); Duarte, Cristiana; Beaulieu, Kristine; Finlayson, Graham; Gibbons, Catherine; Johnstone, Alexandra; Whybrow, Stephen; Horgan, Graham W; Blundell, John E; Stubbs, R James.

In: International Journal of Obesity, 18.01.2019.

Research output: Contribution to journalArticle

Hopkins, Mark ; Duarte, Cristiana ; Beaulieu, Kristine ; Finlayson, Graham ; Gibbons, Catherine ; Johnstone, Alexandra ; Whybrow, Stephen ; Horgan, Graham W ; Blundell, John E ; Stubbs, R James. / Activity energy expenditure is an independent predictor of energy intake in humans. In: International Journal of Obesity. 2019.
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abstract = "Background: There is evidence that the energetic demand of metabolically active tissue is associated with day-to-day food intake (EI). However, the extent to which behavioural components of total daily energy expenditure (EE) such as activity energy expenditure (AEE) are also associated with EI is unknown. Therefore, the present study examined the cross-sectional associations between body composition, resting metabolic rate (RMR), AEE and EI. Methods: Data for 242 individuals (114 males; 128 females; BMI = 25.7 ± 4.9 kg/m2) were collated from the baseline control conditions of five studies employing common measures of body composition (air displacement plethysmography) and RMR (indirect calorimetry). Daily EI (weighed-dietary records) and EE (FLEX heart rate) were measured over 6–7 days, and AEE was calculated as total daily EE minus RMR. Results: Linear regression indicated that RMR ({\ss} = 0.39; P < 0.001), fat mass ({\ss} = −0.26; P < 0.001) and AEE ({\ss} = 0.18; P = 0.002) were independent predictors of mean daily EI, with AEE adding ≈3{\%} of variance to the model after controlling for age, sex and study (F(10, 231) = 18.532, P < 0.001; R2 = 0.445). Path analyses indicated that the effect of FFM on mean daily EI was mediated by RMR (P < 0.05), while direct (β = 0.19; P < 0.001) and indirect (β = 0.20; P = 0.001) associations between AEE and mean daily EI were observed.",
keywords = "feeding behaviour, obesity",
author = "Mark Hopkins and Cristiana Duarte and Kristine Beaulieu and Graham Finlayson and Catherine Gibbons and Alexandra Johnstone and Stephen Whybrow and Horgan, {Graham W} and Blundell, {John E} and Stubbs, {R James}",
note = "Acknowledgements: The authors’ responsibilities were as follows: RJS, GWH, AMJ and SW conceived the individual studies; RJS, SW, AMJ and the project team (Leona O’Reilley and Zoe Fuller) conducted the research. MH, CD and GWH analysed the data & performed the statistical analysis. MH, JB, RJS and GF and wrote the initial manuscript, while all authors commented on and approved the manuscript. RJS had primary responsibility for final content. Funding: The present study was funded by the Food Standards Agency, UK, and The Scottish Government’s Rural and Environment Science and Analytical Services Division. None of the funding bodies had a role in the design, analysis or writing of this article.",
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AU - Hopkins, Mark

AU - Duarte, Cristiana

AU - Beaulieu, Kristine

AU - Finlayson, Graham

AU - Gibbons, Catherine

AU - Johnstone, Alexandra

AU - Whybrow, Stephen

AU - Horgan, Graham W

AU - Blundell, John E

AU - Stubbs, R James

N1 - Acknowledgements: The authors’ responsibilities were as follows: RJS, GWH, AMJ and SW conceived the individual studies; RJS, SW, AMJ and the project team (Leona O’Reilley and Zoe Fuller) conducted the research. MH, CD and GWH analysed the data & performed the statistical analysis. MH, JB, RJS and GF and wrote the initial manuscript, while all authors commented on and approved the manuscript. RJS had primary responsibility for final content. Funding: The present study was funded by the Food Standards Agency, UK, and The Scottish Government’s Rural and Environment Science and Analytical Services Division. None of the funding bodies had a role in the design, analysis or writing of this article.

PY - 2019/1/18

Y1 - 2019/1/18

N2 - Background: There is evidence that the energetic demand of metabolically active tissue is associated with day-to-day food intake (EI). However, the extent to which behavioural components of total daily energy expenditure (EE) such as activity energy expenditure (AEE) are also associated with EI is unknown. Therefore, the present study examined the cross-sectional associations between body composition, resting metabolic rate (RMR), AEE and EI. Methods: Data for 242 individuals (114 males; 128 females; BMI = 25.7 ± 4.9 kg/m2) were collated from the baseline control conditions of five studies employing common measures of body composition (air displacement plethysmography) and RMR (indirect calorimetry). Daily EI (weighed-dietary records) and EE (FLEX heart rate) were measured over 6–7 days, and AEE was calculated as total daily EE minus RMR. Results: Linear regression indicated that RMR (ß = 0.39; P < 0.001), fat mass (ß = −0.26; P < 0.001) and AEE (ß = 0.18; P = 0.002) were independent predictors of mean daily EI, with AEE adding ≈3% of variance to the model after controlling for age, sex and study (F(10, 231) = 18.532, P < 0.001; R2 = 0.445). Path analyses indicated that the effect of FFM on mean daily EI was mediated by RMR (P < 0.05), while direct (β = 0.19; P < 0.001) and indirect (β = 0.20; P = 0.001) associations between AEE and mean daily EI were observed.

AB - Background: There is evidence that the energetic demand of metabolically active tissue is associated with day-to-day food intake (EI). However, the extent to which behavioural components of total daily energy expenditure (EE) such as activity energy expenditure (AEE) are also associated with EI is unknown. Therefore, the present study examined the cross-sectional associations between body composition, resting metabolic rate (RMR), AEE and EI. Methods: Data for 242 individuals (114 males; 128 females; BMI = 25.7 ± 4.9 kg/m2) were collated from the baseline control conditions of five studies employing common measures of body composition (air displacement plethysmography) and RMR (indirect calorimetry). Daily EI (weighed-dietary records) and EE (FLEX heart rate) were measured over 6–7 days, and AEE was calculated as total daily EE minus RMR. Results: Linear regression indicated that RMR (ß = 0.39; P < 0.001), fat mass (ß = −0.26; P < 0.001) and AEE (ß = 0.18; P = 0.002) were independent predictors of mean daily EI, with AEE adding ≈3% of variance to the model after controlling for age, sex and study (F(10, 231) = 18.532, P < 0.001; R2 = 0.445). Path analyses indicated that the effect of FFM on mean daily EI was mediated by RMR (P < 0.05), while direct (β = 0.19; P < 0.001) and indirect (β = 0.20; P = 0.001) associations between AEE and mean daily EI were observed.

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