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

Mark Hopkins; Cristiana Duarte; Kristine Beaulieu; Graham Finlayson; Catherine Gibbons; Alexandra Johnstone; Stephen Whybrow; Graham W Horgan; John E Blundell; R James Stubbs

doi:10.1038/s41366-018-0308-6

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

The Rowett Institute of Nutrition and Health

Research output: Contribution to journal › Article › peer-review

31 Citations (Scopus)

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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.

Original language	English
Pages (from-to)	1466–1474
Number of pages	9
Journal	International Journal of Obesity
Volume	43
Issue number	7
Early online date	18 Jan 2019
DOIs	https://doi.org/10.1038/s41366-018-0308-6
Publication status	Published - 1 Jul 2019

Bibliographical 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.

Keywords

feeding behaviour
obesity
EATING BEHAVIOR
AIR-DISPLACEMENT PLETHYSMOGRAPHY
FAT-FREE MASS
APPETITE CONTROL
RESTING METABOLIC-RATE
PHYSICAL-ACTIVITY
BODY-COMPOSITION
MEAL SIZE
WEIGHT
EXERCISE

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Accepted Manuscript
This is the author's accepted manuscript of an article published in International Journal of Obesity. The final published version can be found at: https://doi.org/10.1038/s41366-018-0308-6.
Accepted author manuscript, 536 KBLicence: Unspecified

Cite this

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title = "Activity energy expenditure is an independent predictor of energy intake in humans",

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, EATING BEHAVIOR, AIR-DISPLACEMENT PLETHYSMOGRAPHY, FAT-FREE MASS, APPETITE CONTROL, RESTING METABOLIC-RATE, PHYSICAL-ACTIVITY, BODY-COMPOSITION, MEAL SIZE, WEIGHT, EXERCISE",

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{\textquoteright} responsibilities were as follows: RJS, GWH, AMJ and SW conceived the individual studies; RJS, SW, AMJ and the project team (Leona O{\textquoteright}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{\textquoteright}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. ",

year = "2019",

month = jul,

day = "1",

doi = "10.1038/s41366-018-0308-6",

language = "English",

volume = "43",

pages = "1466–1474",

journal = "International Journal of Obesity",

issn = "0307-0565",

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number = "7",

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TY - JOUR

T1 - Activity energy expenditure is an independent predictor of energy intake in humans

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 - 2019/7/1

Y1 - 2019/7/1

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.

KW - feeding behaviour

KW - obesity

KW - EATING BEHAVIOR

KW - AIR-DISPLACEMENT PLETHYSMOGRAPHY

KW - FAT-FREE MASS

KW - APPETITE CONTROL

KW - RESTING METABOLIC-RATE

KW - PHYSICAL-ACTIVITY

KW - BODY-COMPOSITION

KW - MEAL SIZE

KW - WEIGHT

KW - EXERCISE

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UR - http://www.mendeley.com/research/activity-energy-expenditure-independent-predictor-energy-intake-humans

U2 - 10.1038/s41366-018-0308-6

DO - 10.1038/s41366-018-0308-6

M3 - Article

C2 - 30659256

SN - 0307-0565

VL - 43

SP - 1466

EP - 1474

JO - International Journal of Obesity

JF - International Journal of Obesity

IS - 7

ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

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Alexandra Johnstone

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

Abstract

Bibliographical note

Keywords

UN SDGs

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Alexandra Johnstone

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