scholarly journals Limited mass‐independent individual variation in resting metabolic rate in a wild population of snow voles ( Chionomys nivalis )

2020 ◽  
Vol 33 (5) ◽  
pp. 608-618 ◽  
Author(s):  
Andres Hagmayer ◽  
Glauco Camenisch ◽  
Cindy Canale ◽  
Erik Postma ◽  
Timothée Bonnet
Keyword(s):  
Metabolic Rate ◽  
Individual Variation ◽  
Wild Population ◽  
Resting Metabolic Rate ◽  
Chionomys Nivalis ◽  
Limited Mass ◽  
Independent Individual

scholarly journals Metabolic rate associates with, but does not generate covariation between, behaviours in western stutter-trilling crickets, Gryllus integer

2017 ◽  
Vol 284 (1851) ◽  
pp. 20162481 ◽  
Author(s):  
Indrikis A. Krams ◽  
Petri T. Niemelä ◽  
Giedrius Trakimas ◽  
Ronalds Krams ◽  
Gordon M. Burghardt ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Covariance Matrix ◽  
Individual Variation ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Resting Metabolic Rate ◽  
Individual Level ◽  
Two Generations ◽  
Fast Development ◽  
Gryllus Integer

The causes and consequences of among-individual variation and covariation in behaviours are of substantial interest to behavioural ecology, but the proximate mechanisms underpinning this (co)variation are still unclear. Previous research suggests metabolic rate as a potential proximate mechanism to explain behavioural covariation. We measured the resting metabolic rate (RMR), boldness and exploration in western stutter-trilling crickets, Gryllus integer , selected differentially for short and fast development over two generations. After applying mixed-effects models to reveal the sign of the covariation, we applied structural equation models to an individual-level covariance matrix to examine whether the RMR generates covariation between the measured behaviours. All traits showed among-individual variation and covariation: RMR and boldness were positively correlated, RMR and exploration were negatively correlated, and boldness and exploration were negatively correlated. However, the RMR was not a causal factor generating covariation between boldness and exploration. Instead, the covariation between all three traits was explained by another, unmeasured mechanism. The selection lines differed from each other in all measured traits and significantly affected the covariance matrix structure between the traits, suggesting that there is a genetic component in the trait integration. Our results emphasize that interpretations made solely from the correlation matrix might be misleading.

Heritability of resting metabolic rate in a wild population of blue tits

2009 ◽  
Vol 22 (9) ◽  
pp. 1867-1874 ◽  
Author(s):  
J.-Å. NILSSON ◽  
M. ÅKESSON ◽  
J. F. NILSSON
Keyword(s):  
Metabolic Rate ◽  
Wild Population ◽  
Resting Metabolic Rate ◽  
Blue Tits

scholarly journals Intra-individual variation in resting metabolic rate during the menstrual cycle

2003 ◽  
Vol 89 (6) ◽  
pp. 811-817 ◽  
Author(s):  
C. Jeya K. Henry ◽  
Helen J. Lightowler ◽  
Jonathan Marchini
Keyword(s):  
Menstrual Cycle ◽  
Metabolic Rate ◽  
Individual Variation ◽  
Statistical Models ◽  
Significant Variation ◽  
Resting Metabolic Rate ◽  
Training Effect ◽  
Specific Level ◽  
Subject Specific ◽  
Consecutive Cycle

Little information exists on the extent of day-to-day intra-individual variation in resting metabolic rate (RMR) in women. The present study has investigated the intra-individual variation in RMR of women during the menstrual cycle. Nineteen women (naturally cycling non-pill users) were recruited to the study. Anthropometric and RMR measurements were taken at least three times per week for the duration of one complete menstrual cycle; measurements were taken for a second, consecutive cycle in eight of the nineteen subjects. RMR was measured by indirect calorimetry using a ventilated hood system under standardized conditions. The measurements made throughout each complete menstrual cycle were averaged and the levels of inter- and intra-individual variation in RMR were assessed by determining the CV (%). Mean RMR of the group was 5686 (SD 674) kJ/d; inter-individual variation in RMR was 11·8 %. There were wide differences in the intra-individual variation in RMR of women (CV range 1·7–10·4 %). The CV in ten subjects was small (2–4 %), while the CV in nine women was high (5–10 %), indicating a significant variation in RMR during the menstrual cycle in certain subjects. Using statistical models, it has been shown that there was a significant effect on RMR due to a subject-specific level of variability; this was the case even when accounting for a possible training effect. In conclusion, the findings from our present study show that RMR cannot be assumed to be ‘stable’ in all women. The implications of intra-individual variation in RMR and its impact on energy balance needs further research.

Nutrient pattern of unsaturated fatty acids and vitamin E increase resting metabolic rate of overweight and obese women

2020 ◽  
pp. 1-9
Author(s):  
Habib Yarizadeh ◽  
Leila Setayesh ◽  
Caroline Roberts ◽  
Mir Saeed Yekaninejad ◽  
Khadijeh Mirzaei
Keyword(s):  
Vitamin E ◽  
Metabolic Rate ◽  
Unsaturated Fatty Acids ◽  
Resting Metabolic Rate ◽  
Blood Parameters ◽  
Cross Sectional Study ◽  
Obese Women ◽  
Cross Sectional ◽  
Dietary Nutrients ◽  
Nutrient Patterns

Abstract. Objectives: Obesity plays an important role in the development of chronic diseases including cardiovascular disease and diabetes. A low resting metabolic rate (RMR) for a given body size and composition is a risk factor for obesity, however, there is limited evidence available regarding the association of nutrient patterns and RMR. The aim of this study was to determine the association of nutrient patterns and RMR in overweight and obese women. Study design: This cross-sectional study was conducted on 360 women who were overweight or obese. Method: Dietary intake was assessed using a semi-quantitative standard food frequency questionnaire (FFQ). Nutrient patterns were also extracted by principal components analysis (PCA). All participants were evaluated for their body composition, RMR, and blood parameters. Result: Three nutrient patterns explaining 64% of the variance in dietary nutrients consumption were identified as B-complex-mineral, antioxidant, and unsaturated fatty acid and vitamin E (USFA-vit E) respectively. Participants were categorized into two groups based on the nutrient patterns. High scores of USFA-vit E pattern was significantly associated with the increase of RMR (β = 0.13, 95% CI = 0.79 to 68.16, p = 0.04). No significant associations were found among B-complex-mineral pattern (β = −0.00, 95% CI = −49.67 to 46.03, p = 0.94) and antioxidant pattern (β = 0.03, 95% CI −41.42 to 22.59, p = 0.56) with RMR. Conclusion: Our results suggested that the “USFA-vit E” pattern (such as PUFA, oleic, linoleic, vit.E, α-tocopherol and EPA) was associated with increased RMR.

Validation of Equations for the Prediction of Resting Metabolic Rate in Sri Lankan Adults

2019 ◽  
Vol 9 (10) ◽  
pp. p9462
Author(s):  
Pathima Fairoosa ◽  
Indu Waidyatilaka ◽  
Maduka de Lanerolle-Dias ◽  
Pujitha Wickramasinghe ◽  
Pulani Lanerolle
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Sri Lankan

The Metabolic Theory of Ecology

2017 ◽  
Author(s):  
Andrew Clarke
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Effect Of Temperature ◽  
Thermal Ecology ◽  
Model Data ◽  
Metabolic Theory ◽  
Physical Explanation ◽  
Boltzmann Factor ◽  
Scaling Exponents ◽  
Metabolic Theory Of Ecology

The model of West, Brown & Enquist (WBE) is built on the assumption that the metabolic rate of cells is determined by the architecture of the vascular network that supplies them with oxygen and nutrients. For a fractal-like network, and assuming that evolution has minimised cardiovascular costs, the WBE model predicts that s=metabolism should scale with mass with an exponent, b, of 0.75 at infinite size, and ~ 0.8 at realistic larger sizes. Scaling exponents ~ 0.75 for standard or resting metabolic rate are observed widely, but far from universally, including in some invertebrates with cardiovascular systems very different from that assumed in the WBE model. Data for field metabolic rate in vertebrates typically exhibit b ~ 0.8, which matches the WBE prediction. Addition of a simple Boltzmann factor to capture the effects of body temperature on metabolic rate yields the central equation of the Metabolic Theory of Ecology (MTE). The MTE has become an important strand in ecology, and the WBE model is the most widely accepted physical explanation for the scaling of metabolic rate with body mass. Capturing the effect of temperature through a Boltzmann factor is a useful statistical description but too simple to qualify as a complete physical theory of thermal ecology.

scholarly journals Correction to: The effect of moderate intermittent versus continuous energy restriction on body composition and resting metabolic rate in resistance-trained females: A randomized controlled trial

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Madelin R. Siedler ◽  
Eric T. Trexler ◽  
Megan N. Humphries ◽  
Priscila Lamadrid ◽  
Brian Waddell ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Body Composition ◽  
Metabolic Rate ◽  
Controlled Trial ◽  
Resting Metabolic Rate ◽  
Energy Restriction ◽  
Randomized Controlled ◽  
Continuous Energy

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