Introduction of adult cats to indirect calorimetry respiration chambers causes increased energy expenditure and respiratory quotient that decrease following acclimation

2022 ◽  
pp. 1-6
Author(s):  
Kylie Hogan ◽  
Nicholas Genova ◽  
James R. Templeman ◽  
Adronie Verbrugghe ◽  
Anna K. Shoveller
Keyword(s):  
Energy Expenditure ◽  
Home Environment ◽  
Indirect Calorimetry ◽  
Repeated Measures ◽  
Respiratory Quotient ◽  
Mixed Model ◽  
Significant Variable ◽  
Level Energy ◽  
Adult Cats ◽  
Space Restriction

Abstract OBJECTIVE To replicate a previously defined behavioral procedure to acclimate adult cats to temporary restriction in indirect calorimetry chambers and measure energy expenditure and respiratory quotient changes during acclimation. ANIMALS 8 healthy adult cats (4 spayed females, and 4 neutered males; mean ± SEM age, 2.5 ± 1.5 years; mean body weight, 4.8 ± 1.8 kg). PROCEDURES Cats underwent a 13-week incremental acclimation procedure whereby cats were acclimated to the chambers in their home environment (weeks 1 to 3), to the study room (weeks 4 to 6), and to increasing lengths of restriction within their home environment (weeks 7 to 8) and the chambers (weeks 9 to 13). Cat stress score, respiratory rate, fearfulness (assessed with a novel object test), energy expenditure, and respiratory quotient were measured. Data were analyzed by use of a repeated-measures mixed model. RESULTS Stress, based on cat stress scores, fearfulness, and respiration, peaked at weeks 4, 9, and 10 but returned to baseline levels by week 11. Energy expenditure and respiratory quotient peaked at weeks 10 and 11, respectively, but were reduced significantly by weeks 11 and 13, respectively. All cats returned to baseline by the end of the study and were deemed fully acclimated. CLINICAL RELEVANCE Changes in perceived stress level, energy expenditure, and respiratory quotient at various stages of the acclimation procedure suggest that stress should be considered a significant variable in energy balance measurements when indirect calorimetry is used in cats. An incremental acclimation procedure should therefore be used to prepare cats for the temporary space restriction necessary for indirect calorimetry studies.

scholarly journals Effect of raw and encapsulated policosanol on lipid profiles, blood biochemistry, activity, energy expenditure and macronutrient metabolism of adult cats

2021 ◽  
pp. 1098612X2110137
Author(s):  
James R Templeman ◽  
Kylie Hogan ◽  
Alexandra Blanchard ◽  
Christopher PF Marinangeli ◽  
Alexandra Camara ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Respiratory Quotient ◽  
Blood Count ◽  
Complete Blood Count ◽  
Serum Biochemistry ◽  
Blood Collection ◽  
Adult Cats ◽  
Activity Energy

Objectives The objective of this study was to verify the safety of policosanol supplementation for domestic cats. The effects of raw and encapsulated policosanol were compared with positive (L-carnitine) and negative (no supplementation) controls on outcomes of complete blood count, serum biochemistry, energy expenditure, respiratory quotient and physical activity in healthy young adult cats. Methods The study was a replicated 4 × 4 complete Latin square design. Eight cats (four castrated males, four spayed females; mean age 3.0 ± 1.0 years; mean weight 4.36 ± 1.08 kg; mean body condition score 5.4 ± 1.4) were blocked by sex and body weight then randomized to treatment groups: raw policosanol (10 mg/kg body weight), encapsulated policosanol (50 mg/kg body weight), L-carnitine (200 mg/kg body weight) or no supplementation. Treatments were supplemented to a basal diet for 28 days with a 1-week washout between periods. Food was distributed equally between two offerings to ensure complete supplement consumption (first offering) and measure consumption time (second offering). Blood collection (lipid profile, complete blood count, serum biochemistry) and indirect calorimetry (energy expenditure, respiratory quotient) were conducted at days 0, 14 and 28 of each period. Activity monitors were worn 7 days prior to indirect calorimetry and blood collection. Data were analyzed using a repeated measures mixed model (SAS, v.9.4). Results Food intake and body weight were similar among treatments. There was no effect of treatment on lipid profile, serum biochemistry, activity, energy expenditure or respiratory quotient ( P >0.05); however, time to consume a second meal was greatest in cats fed raw policosanol ( P <0.05). Conclusions and relevance These data suggest that policosanol is safe for feline consumption. Further studies with cats demonstrating cardiometabolic risk factors are warranted to confirm whether policosanol therapy is an efficacious treatment for hyperlipidemia and obesity.

scholarly journals Utility of the Actiheart Accelerometer for Estimating Exercise Energy Expenditure in Female Adolescent Runners

2010 ◽  
Vol 20 (6) ◽  
pp. 487-495 ◽  
Author(s):  
Jeanne F. Nichols ◽  
Hilary Aralis ◽  
Sonia Garcia Merino ◽  
Michelle T. Barrack ◽  
Lindsay Stalker-Fader ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Repeated Measures ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Young Female ◽  
Female Adolescent ◽  
Treadmill Running ◽  
Exercise Energy Expenditure ◽  
Post Hoc

There is a growing need to accurately assess exercise energy expenditure (EEE) in athletic populations that may be at risk for health disorders because of an imbalance between energy intake and energy expenditure. The Actiheart combines heart rate and uniaxial accelerometry to estimate energy expenditure above rest. The authors’ purpose was to determine the utility of the Actiheart for predicting EEE in female adolescent runners (N = 39, age 15.7 ± 1.1 yr). EEE was measured by indirect calorimetry and predicted by the Actiheart during three 8-min stages of treadmill running at individualized velocities corresponding to each runner’s training, including recovery, tempo, and 5-km-race pace. Repeated-measures ANOVA with Bonferroni post hoc comparisons across the 3 running stages indicated that the Actiheart was sensitive to changes in intensity (p < .01), but accelerometer output tended to plateau at race pace. Pairwise comparisons of the mean difference between Actiheart- and criterion-measured EEE yielded values of 0.0436, 0.0539, and 0.0753 kcal · kg−1 · min−1 during recovery, tempo, and race pace, respectively (p < .0001). Bland–Altman plots indicated that the Actiheart consistently underestimated EEE except in 1 runner’s recovery bout. A linear mixed-model regression analysis with height as a covariate provided an improved EEE prediction model, with the overall standard error of the estimate for the 3 speeds reduced to 0.0101 kcal · kg−1 · min−1. Using the manufacturer’s equation that combines heart rate and uniaxial motion, the Actiheart may have limited use in accurately assessing EEE, and therefore energy availability, in young, female competitive runners.

Exploration of the Contribution of Biobehavioral Variables to the Energy Expenditure of Preterm Infants

2005 ◽  
Vol 6 (3) ◽  
pp. 216-229 ◽  
Author(s):  
Karen Pridham ◽  
Abhik Bhattacharya ◽  
Suzanne Thoyre ◽  
Deborah Steward ◽  
Janine Bamberger ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Lung Disease ◽  
Preterm Infants ◽  
Repeated Measures ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Caloric Intake ◽  
Activity Level ◽  
Highly Correlated

Variation in energy expended by preterm infants may be due to infant maturity and history of resolved acute lung disease (respiratory distress syndrome [RDS]) as well as growth, caloric intake, and activity. Indirect calorimetry was used in this exploratory, short-term longitudinal study to estimate energy expenditure (EE) from measures of inspired and expired O2 and CO2 .The sample included 35 assessments for 10 preterm infants (5 with and 5 without RDS history). Lung disease history (resolved RDS, no RDS diagnosis), weight gain (g/d) from the day on which birth weight had been regained to the study day, mean activity level, the number of the assessment (1 6), and the interaction of lung disease history and time were included in a linear mixed model for repeated measures. Time was an index of postconceptional and postnatal age; all 3 were highly correlated. Because of high correlation with weight gain, caloric intake was not included in the analytic model. Lung disease history, mean activity level, and time were significant contributors to EE. A more precise measure of medical status than absence or presence of lung disease history, evenly spaced repetitions of EE assessment, and exploration of contexts in which the infants exhibit a higher activity level are needed in a replication study with a larger sample.

scholarly journals The daytime feeding frequency affects appetite-regulating hormones, amino acids, physical activity, and respiratory quotient, but not energy expenditure, in adult cats fed regimens for 21 days

PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0238522
Author(s):  
Alexandra Camara ◽  
Adronie Verbrugghe ◽  
Cara Cargo-Froom ◽  
Kylie Hogan ◽  
Trevor J. DeVries ◽  
...  
Keyword(s):  
Physical Activity ◽  
Amino Acids ◽  
Energy Expenditure ◽  
Respiratory Quotient ◽  
Feeding Frequency ◽  
Adult Cats

Validity of the SenseWear Armband to Assess Energy Expenditure in Graded Walking

2015 ◽  
Vol 12 (2) ◽  
pp. 178-183 ◽  
Author(s):  
Gianluca Vernillo ◽  
Aldo Savoldelli ◽  
Barbara Pellegrini ◽  
Federico Schena
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Mixed Model ◽  
Sensewear Armband ◽  
Mixed Model Anova ◽  
Significant Difference ◽  
Advance Research ◽  
Downhill Walking ◽  
Main Effects

Background:Accurate assessments of physical activity and energy expenditure (EE) are needed to advance research on positive and negative graded walking.Purpose:To evaluate the validity of 2 SenseWear Armband monitors (Pro3 and the recently released Mini) during graded walking.Methods:Twenty healthy adults wore both monitors during randomized walking activities on a motorized treadmill at 7 grades (0%, ±5%, ±15%, and ±25%). Estimates of total EE from the monitors were computed using different algorithms and compared with values derived from indirect calorimetry methodology using a 2-way mixed model ANOVA (Device × Condition), correlation analyses and Bland-Altman plots.Results:There was no significant difference in EE between the 2 armbands in any of the conditions examined. Significant main effects for device and condition, as well as a consistent bias, were observed during positive and negative graded walking with a greater over- and under-estimation at higher slope.Conclusions:Both the armbands produced similar EE values and seem to be not accurate in estimation of EE during activities involving uphill and downhill walking. Additional work is needed to understand factors contributing to this discrepancy and to improve the ability of these monitors to accurately measure EE during graded walking.

scholarly journals Postprandial thermogenesis and respiratory quotient in response to galactose: comparison with glucose and fructose in healthy young adults

2016 ◽  
Vol 5 ◽  
Author(s):  
Nathalie Charrière ◽  
Jean-Pierre Montani ◽  
Abdul G. Dulloo
Keyword(s):  
Young Adults ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Respiratory Quotient ◽  
Resting Energy Expenditure ◽  
Glycaemic Index ◽  
Circumstantial Evidence ◽  
Baseline Values ◽  
Sugary Drink ◽  
Postprandial Thermogenesis

AbstractCircumstantial evidence suggests that substitution of glucose or sucrose by the low-glycaemic index sugar galactose in the diet may lead to greater thermogenesis and/or fat oxidation. Using ventilated hood indirect calorimetry, we investigated, in twelve overnight-fasted adults, the resting energy expenditure (REE) and respiratory quotient (RQ) for 30 min before and 150 min after ingestion of 500 ml of water containing 60 g of glucose, fructose or galactose in a randomised cross-over design. REE increased similarly with all three sugars, reaching peak values after 50–60 min, but its subsequent fall towards baseline values was faster with galactose and glucose than with fructose (P < 0·001). RQ increased with all three sugars, but to a much greater extent with galactose and fructose than with glucose, particularly after 1 h post-ingestion. When ingested as a sugary drink, postprandial thermogenesis and utilisation of fat after galactose are not higher than after glucose or fructose.

Assessment of Energy Expenditure During Discrete Skill Performance Using Systematic Observation and Indirect Calorimetry

2021 ◽  
pp. 1-6
Author(s):  
Ryan S. Sacko ◽  
Cate A. Egan ◽  
Jenna Fisher ◽  
Chelsee Shortt ◽  
Kerry McIver
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Motor Skill ◽  
Repeated Measures ◽  
Leisure Activity ◽  
National Standards ◽  
Systematic Observation ◽  
Paired Samples ◽  
Skill Performance

Purpose: To determine the accuracy of three systematic observation (SO) tools to estimate energy expenditure (EE) using different skill performance and observation intervals. Method: Three SO tools (Observational System for Recording Physical Activity in Children-Preschool, System for Observing Fitness Instruction Time, and System for Observing Play and Leisure Activity in Youth) were used to observe children (N = 42, Mage = 8.1 ± 0.7) during motor skill testing sessions. EE was measured using indirect calorimetry (COSMED K4b2). Results: Paired samples t tests, repeated-measures analysis of variance, and regression analyses were performed to compare the EE estimated from SO tools with EE measured by indirect calorimetry. The average mean difference between the estimated metabolic equivalence of task (METS) and actual METS ranged between −1.24 METS (SD = 1.62, p < .01) and −3.46 METS (SD = 1.31, p < .01) depending on skill performance interval or SO tool analyzed. Conclusions: SO tools did not accurately estimate EE during object control skill testing sessions. Physical educators should consider utilizing discrete motor skill practice to accumulate health-enhancing levels of physical activity while adhering to national standards.

scholarly journals Differences in Energy Expenditure and Typing Speed While Sitting, Standing, and Walking in College Students

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Fred Miller ◽  
Avniel Barrow ◽  
Adrian Perez ◽  
Yenly Londono Calle
Keyword(s):  
College Students ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Repeated Measures ◽  
Track And Field ◽  
Caloric Expenditure

Introduction: The purpose of this study was to determine if caloric expenditure and typing speed differed among three positions (sitting, standing, walking). Methods:  Participants included 40 college students (18-22 years, 30 males and 10 females) on either the baseball or track and field teams. Each participant was tested for 5 minutes in three different positions. Caloric expenditure was measured via indirect calorimetry and typing productivity via a 3-minute typing test. Repeated measures ANOVAs and T-Tests were performed to determine statistical differences for caloric expenditure and typing speed. Results: Caloric expenditure (calories per 5 minutes) was significantly higher for walking (16.4 ± 3.1) than for sitting (9.0 ± 2.4, p <0.0001) and standing (9.4 ± 2.0, p <0.0001). For typing productivity, standing resulted in faster typing speed than walking (37.4 ± 10.2 vs. 34.7 ± 10.7 wpm, p = 0096). Conclusions: Using a standup walking desk to type while working expends significantly more calories than typing while sitting or standing at a desk. However, typing speed was significantly higher while standing at a desk than while walking at a desk.

Evaluation of the SenseWear Mini Armband to Assess Energy Expenditure During Pole Walking

2014 ◽  
Vol 24 (5) ◽  
pp. 565-569 ◽  
Author(s):  
Gianluca Vernillo ◽  
Aldo Savoldelli ◽  
Barbara Pellegrini ◽  
Federico Schena
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Significant Interaction ◽  
Mixed Model ◽  
Total Energy Expenditure ◽  
Motion Sensor ◽  
Sensewear Armband ◽  
Mixed Model Anova ◽  
Main Effects ◽  
Pole Walking

The current study aimed to show the validity of a portable motion sensor, the SenseWear Armband (SWA), for the estimation of energy expenditure during pole walking. Twenty healthy adults (mean ± SD: age 30.1 ± 7.2 year, body mass 66.1 ± 10.6 kg, height 172.4 ± 8.0 cm, BMI 22.1 ± 2.4 kg·m−2) wore the armband during randomized pole walking activities at a constant speed (1.25 m·s−1) and at seven grades (0%, ±5%, ±15% and ±25%). Estimates of total energy expenditure from the armband were compared with values derived from indirect calorimetry methodology (IC) using a 2–way mixed model ANOVA (Device × Slope), correlation analyses and Bland-Altman plots. Results revealed significant main effects for device, and slope (p < .025) as well as a significant interaction (p < .001). Significant differences between IC and SWA were observed for all conditions (p < .05). SWA generally underestimate the EE values during uphill PW by 0.04 kcal·kg−1·min−1 (p < .05). Whereas, a significant overestimation has been detected during flat and downhill PW by 0.01 and 0.03 kcal·kg−1·min−1 (p < .05), respectively. The Bland-Altman plots revealed bias of the armband compared with the indirect calorimetry at any condition examined. The present data suggest that the armband is not accurate to correctly detect and estimate the energy expenditure during pole walking activities. Therefore, the observed over- and under-estimations warrants more work to improve the ability of SWA to accurately measure EE for these activities.

Sign in / Sign up

Export Citation Format

Share Document