Energy Expenditure In Healthy Adults Research Articles

Validity of Actigraph for Measuring Energy Expenditure in Healthy Adults: A Systematic Review and Meta-Analysis.

The objective of this systematic review and meta-analysis was to assess the validity of the Actigraph triaxial accelerometer device in measuring physical activity energy expenditure (PAEE) in healthy adults, with indirect calorimetry (IC) serving as the validity criterion. A comprehensive search was conducted using the PubMed, Web of Science, and sportdiscuss databases, in addition to manual searches for supplementary sources. Search strategies were employed that involved conducting single keyword searches using the terms "gt3x" and "Actigraph gt3x". The literature search encompassed the timeframe spanning from 1 January 2010 to 1 March 2023. The methodological quality of the studies included in the analysis was evaluated using both the Downs and Black checklist and the Consensus-Based Criteria for Selection of Measurement Instruments (COSMIN) checklist. The meta-analysis was conducted using the Review Manager 5.4 software. The standardized mean difference (SMD) was calculated and expressed as a 95% confidence interval (CI). The significance level was set at α = 0.05. A systematic assessment of the Actigraph's performance was conducted through the descriptive analysis of computed effect sizes. A total of 4738 articles were retrieved from the initial search. After eliminating duplicate articles and excluding those deemed irrelevant, a comprehensive analysis was conducted on a total of 20 studies, encompassing a combined sample size of 1247 participants. The scores on the Downs and Black checklist ranged from 10 to 14, with a mean score of 11.35. The scores on the COSMIN checklist varied from 50% to 100%, with an average score of 65.83%. The meta-analysis findings revealed a small effect size (SMD = 0.01, 95% CI = 0.50-0.52, p = 0.97), indicating no statistically significant difference (p > 0.05). The meta-analysis revealed a small effect size when comparing the Actigraph and IC, suggesting that the Actigraph can be utilized for assessing total PAEE. Descriptive analyses have indicated that the Actigraph device has limited validity in accurately measuring energy expenditure during specific physical activities, such as high-intensity and low-intensity activities. Therefore, caution should be exercised when utilizing this device for such purposes. Furthermore, there was a significant correlation between the activity counts measured by the Actigraph and the PAEE, indicating that activity counts can be utilized as a predictive variable for PAEE.

Predictive equations for energy expenditure in adult humans: From resting to free-living conditions.

Humans acquire energy from the environment for survival. A central question for nutritional sciences is how much energy is required to sustain cellular work while maintaining an adequate body mass. Because human energy balance is not exempt from thermodynamic principles, the energy requirement can be approached from the energy expenditure. Conceptual and technological advances have allowed understanding of the physiological determinants of energy expenditure. Body mass, sex, and age are the main factors determining energy expenditure. These factors constitute the basis for predictive equations for resting (REE) and total (TEE) energy expenditure in healthy adults. These equations yield predictions that differ up to ~400 kcal/d for REE and ~550 kcal/d for TEE. Identifying additional factors accounting for such variability and the most valid equations appears relevant. This review used novel approaches based on mathematical modeling of REE and analyses of the data from which REE predictive equations were generated. As for TEE, R2 and SE were considered because only a few predictive equations are available. From these analyses, Oxford's and Plucker's equations appear valid for predicting REE and TEE in adults, respectively.

Validity of Two Questionnaires and Two Prediction Equations for Estimating Total Energy Expenditure in Healthy Adults: A Doubly Labeled Water Study

Abstract Objectives The doubly labeled water (DLW) method is the gold standard for assessing total energy expenditure (TEE), but is costly. Questionnaires and prediction equations for TEE are nearly cost-free but research on their validity is scarce. We evaluated the validity of TEE assessed by two questionnaires and two prediction equations in comparison with TEE assessed by DLW. Based on previous work, we hypothesized that the questionnaires would be valid at a group level, and that the prediction equations would be valid at an individual level. Methods Data from a 10-d observational study in 124 healthy, nonsmoking adults were used (63% F, aged 29.8 ± 12.2 y, BMI 24.5 ± 3.9 kg/m2 (Mean ± SD)). TEE was measured by DLW using a mixed oral 2H218O dose containing 0.15 g 2H218O and 0.07 g of 2H2O per kg body weight. Analysis of urine samples and calculations of TEE were carried out using standard methodology. TEE was estimated from the 7-day Physical Activity Recall (7dPAR; Sallis et al. 1985), the Block Work and Home Survey (BWHS; Block et al. 2009), Dietary Reference Intakes (DRI) equations for estimated energy requirements of adults with normal weight or overweight/obesity (IOM 2005), and the BOD POD air displacement plethysmograph. 7dPAR TEE was estimated by multiplying MET-min/day with resting metabolic rate estimated from DRI basal energy expenditure equations. The BOD POD measured body composition by densitometry and TEE was estimated from fat-free mass and fat mass (Nelson et al. 1992) and an activity factor (WHO 1985). Results TEE values were 2430 ± 535 (DLW), 2375 ± 445 (7dPAR), 2407 ± 750 (BWHS), 2335 ± 388 (DRI), 2134 ± 439 (BOD POD) kcal/d (Mean ± SD), with DRI and BOD POD significantly lower than DLW (P <0.01). Mean ± 2SD limits of agreement (kcal/d) between DLW and 7dPAR (−766, 877) and BWHS (−1420, 1468) were wider than those between DLW and DRI (−630, 822) and BOD POD (−463, 1057). The R2 and SEE of the method associations with DLW ranged from 0.17 to 0.54 and 264 to 688 kcal/d, respectively (all P = 0.000). Conclusions The 7dPAR and BWHS were valid for estimating TEE at a group level. While the DRI and BOD POD equations were more accurate at estimating TEE of individuals, none of the tools are recommended for individual assessment of TEE due to their low R2 and wide Bland-Altman limits of agreement with DLW. Funding Sources NIH R01 DK075862 and Purdue University.

Improving Active Gaming's Energy Expenditure in Healthy Adults Using Structured Playing Instructions for the Nintendo Wii and Xbox Kinect.

Naugle, KE, Carey, C, Ohlman, T, Godza, M, Mikesky, A, and Naugle, KM. Improving active gaming's energy expenditure in healthy adults using structured playing instructions for the Nintendo Wii and Xbox Kinect. J Strength Cond Res 33(2): 549-558, 2019-Professionals work constantly to increase energy expenditure and improve cardiovascular outcomes. A newer form of physical activity used to improve cardiovascular outcomes and increase energy expenditure while also providing entertainment is active gaming. The purpose was to determine energy expenditure and enjoyment levels during participation in different games played with a directed set of instructions designed to enhance movement. Twenty-one adults completed 6 sessions (1 familiarization and 5 experimental) on separate days. During 4 of the experimental sessions, participants played 1 of 4 active games for two 15-minute periods. Two active games were from Xbox Kinect and 2 were from Nintendo Wii. During the first period, participants played at a self-selected level of activity. During the second period, participants were given specific instructions for play during both active and down times within games. Participants wore a portable gas analyzer to measure energy expenditure. Resting energy expenditure was measured during session 6. Outcome measures were analyzed with 4 Game × 2 Period repeated-measures analyses of variance. Energy expenditure, measured in metabolic equivalents (METS), was greatest while playing Kinect Fighter Within. METS, enjoyment levels, and percentage of time spent in whole-body activity were greater during the period with specific instructions compared to the self-selected levels of activity, regardless of active game. When played at a self-selected level of activity, energy expenditure during the active games was similar to that of light physical activity. However, energy expenditure improved during the second period of game play showing that specific instructions created energy expenditure of moderate intensity.

Is the SenseWear Armband accurate enough to quantify and estimate energy expenditure in healthy adults?

The SenseWear Armband (SWA) is a monitor that can be used to estimate energy expenditure (EE); however, it has not been validated in healthy adults. The objective of this paper was to study the validity of the SWA for quantifying EE levels. Twenty-three healthy adults (age 40-55 years, mean: 48±3.42 years) performed different types of standardized physical activity (PA) for 10 minutes (rest, walking at 3 and 5 km·h-1, running at 7 and 9 km·h-1, and sitting/standing at a rate of 30 cycle·min-1). Participants wore the SWA on their right arm, and their EE was measured by indirect calorimetry (IC) the gold standard. There were significant differences between the SWA and IC, except in the group that ran at 9 km·h-1 (>9 METs). Bland-Altman analysis showed a BIAS of 1.56 METs (±1.83 METs) and limits of agreement (LOA) at 95% of -2.03 to 5.16 METs. There were indications of heteroscedasticity (R2 =0.03; P<0.05). Analysis of the receiver operating characteristic (ROC) curves showed that the SWA seems to be not sensitive enough to estimate the level of EE at highest intensities. The SWA is not as precise in estimating EE as IC, but it could be a useful tool to determine levels of EE at low intensities.

Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure

ABSTRACTWe compared SenseWear Armband versions (v) 2.2 and 5.2 for estimating energy expenditure in healthy adults. Thirty-four adults (26 women), 30.1 ± 8.7 years old, performed two trials that included light-, moderate- and vigorous-intensity activities: (1) structured routine: seven activities performed for 8-min each, with 4-min of rest between activities; (2) semi-structured routine: 12 activities performed for 5-min each, with no rest between activities. Energy expenditure was measured by indirect calorimetry and predicted using SenseWear v2.2 and v5.2. Compared to indirect calorimetry (297.8 ± 54.2 kcal), the total energy expenditure was overestimated (P < 0.05) by both SenseWear v2.2 (355.6 ± 64.3 kcal) and v5.2 (342.6 ± 63.8 kcal) during the structured routine. During the semi-structured routine, the total energy expenditure for SenseWear v5.2 (275.2 ± 63.0 kcal) was not different than indirect calorimetry (262.8 ± 52.9 kcal), and both were lower (P < 0.05) than v2.2 (312.2 ± 74.5 kcal). The average mean absolute per cent error was lower for the SenseWear v5.2 than for v2.2 (P < 0.001). SenseWear v5.2 improved energy expenditure estimation for some activities (sweeping, loading/unloading boxes, walking), but produced larger errors for others (cycling, rowing). Although both algorithms overestimated energy expenditure as well as time spent in moderate-intensity physical activity (P < 0.05), v5.2 offered better estimates than v2.2.

Time to Reach Steady State Resting Energy Expenditure in Healthy Adults Using Indirect Calorimetry

BackgroundResting energy expenditure (REE) measures the amount of calories needed for the body to maintain basic function over a 24‐hour period. Traditionally, REE protocols through indirect calorimetry take 45 minutes to complete. Generally, the first 10 to 20 minutes of data collected are excluded to allow the participants to reach steady state.ObjectiveThe purpose of this study was to determine a more precise time to reach a resting steady state.MethodsFifty healthy, adult male and female participants volunteered for this study. Each participant completed indirect calorimetry after a 12‐hour overnight fast. Participants were instructed to lay supine and awake under a plastic canopy for approximately 30‐minute, while oxygen consumption (VO2) and carbon dioxide production (VCO2) measures were collected. These values were used to determine steady state REE (kcals•day‐1) and respiratory quotient (RQ). Statistical analysis for the response of variables to time was modeled with a logistics decay function. Data are reported as mean ± SD with an alpha level of 0.05.ResultsPredicted time to steady state REE in kcals•day‐1 and in kcals•day‐1•kg‐1 was reached at 15.09 ± 0.1 minutes and 15.10 ± 0.1 minutes, respectively. There was no significant change in REE thereafter. In addition, respiratory quotient values from the first 15‐minutes (0.91) to the last 15‐minutes (0.86) were significantly different (p &lt; 0.001).ConclusionIndirect calorimetry to measure steady state resting energy expenditure should exclude the first 15‐minutes in a young, healthy population.

Validity and Reliability of Measuring Steps and Energy Expenditure with a Triaxial Accelerometer in Healthy Adults under Controlled Conditions

Purpose: To determine the validity and test-retest reliability of a triaxial accelerometer in measuring steps and estimating energy expenditure in healthy adults. Method: 20 volunteers walked 3 times for 10 minutes on a treadmill following a standardized protocol. Data of the accelerometer were compared to hand tally counted steps and to breath by breath analysis of respiratory variables. Bland-Altman plots and an intra-class correlation coefficients were used to determine validity and reliability. Results: Accelerometers generated valid results at 5km/h but not at 3km/h. At 5 km/h the lanyard and belt positions were more valid than the pocket positions. The test-retest reliability was good to excellent for steps (ICC range .78 - .92) and moderate to good for energy expenditure (ICC range .64 - .87). Conclusions: The accelerometer generated valid results for the number of steps at 5 km/h with a coefficient of variation of 1-1.6% but overestimated energy expenditure.

Test–retest reliability of a portable monitor to assess energy expenditure

The ability of the SenseWear Armband (SWA) to estimate energy expenditure (EE) in adults is established. However, except for resting metabolic rate, the test-retest reliability of the SWA for the estimation of EE in adults is unknown. To explore reliability, 34 healthy adults (50% women; age, 26.7± 6.1years; body mass index, 23.6± 3.3kg·m(-2)) completed a 2-day study protocol. During 13h of direct supervision, subjects completed, each day, 60min of lying awake rest, 30min of structured sedentary activity, 45min of walking circuit, and 45min of ergocycling at 50% of their peak oxygen uptake. For the remaining 10h, subjects remained seated. The SWA showed significant intraclass correlations between the 2days of testing for the overall 13h of direct supervision (r = 0.97; p< 0.001), the lying awake rest (r = 0.98; p< 0.001), the structured sedentary activity (r = 0.62; p< 0.05), the walking circuit (r = 0.95; p< 0.001), and the standardized physical activity (r = 0.85; p< 0.001). The results of this study indicate that the SWA is a reliable tool to estimate EE during multiple activities. These data provide additional evidence of the usefulness of the SWA in monitoring EE in healthy adults.

Effect of Neuromuscular Electrical Muscle Stimulation on Energy Expenditure in Healthy Adults

Weight loss/weight control is a major concern in prevention of cardiovascular disease and the realm of health promotion. The primary aim of this study was to investigate the effect of neuromuscular electrical stimulation (NMES) at different intensities on energy expenditure (oxygen and calories) in healthy adults. The secondary aim was to develop a generalized linear regression (GEE) model to predict the increase of energy expenditure facilitated by NMES and identify factors (NMES stimulation intensity level, age, body mass index, weight, body fat percentage, waist/hip ratio, and gender) associated with this NMES-induced increase of energy expenditure. Forty sedentary healthy adults (18 males and 22 females) participated. NMES was given at the following stimulation intensities for 10 minutes each: sensory level (E1), motor threshold (E2), and maximal intensity comfortably tolerated (E3). Cardiopulmonary gas exchange was evaluated during rest, NMES, and recovery stage. The results revealed that NMES at E2 and E3 significantly increased energy expenditure and the energy expenditure at recovery stage was still significantly higher than baseline. The GEE model demonstrated that a linear dose-response relationship existed between the stimulation intensity and the increase of energy expenditure. No subject’s demographic or anthropometric characteristics tested were significantly associated with the increase of energy expenditure. This study suggested NMES may be used to serve as an additional intervention for weight loss programs. Future studies to develop electrical stimulators or stimulation electrodes to maximize the comfort of NMES are recommended.

Accuracy of Armband Monitors for Measuring Daily Energy Expenditure in Healthy Adults

There is a need to develop accurate devices for measuring daily energy expenditure under free-living conditions, particularly given our current obesity epidemic. The purpose of the present study was to evaluate the validity of energy expenditure estimates from two portable armband devices, the SenseWear Pro3 Armband (SWA) monitor and the SenseWear Mini Armband (Mini) monitor, under free-living conditions. Participants in the study (30 healthy adults aged 24-60 yr) wore both monitors for 14 consecutive days, including while sleeping. Criterion values for total energy expenditure (TEE) were determined using doubly labeled water (DLW), the established criterion standard method for free-living energy expenditure assessment. The average TEE estimates were within 112 kcal·d−¹ for the SWA and within 22 kcal·d−¹ for the Mini, but the absolute error rates (computed as the average absolute value of the individual errors) were similar for the two monitors (SWA = 8.1% ± 6.8%, Mini = 8.3% ± 6.5%). Using intraclass correlation (ICC) analysis, significant agreements were found between the SWA and DLW estimates of energy expenditure (ICC = 0.80, 95% CI = 0.89-0.70) and between the Mini and DLW (ICC = 0.85, 95% CI = 0.92-0.76). Graphical plots of the DLW TEE values against the difference between DLW and monitor estimates of TEE showed that the agreement was consistent across a range of TEE values. The SenseWear Pro3 and the SenseWear Mini armbands show promise for accurately measuring daily energy expenditure under free-living conditions. However, more work is needed to improve the ability of these monitors to accurately measure energy expenditure at higher levels of expenditure.

Long–term effects of caloric restriction on total and resting energy expenditure in healthy adults

The effects of long‐term caloric restriction (CR) on resting metabolic rate (RMR) and total energy expenditure (TEE) in humans is uncertain. Objective To examine the effects of a 30% CR regimen on TEE and RMR. Methods One year randomized controlled trial of 30% CR in 29 healthy overweight adults (mean±SD, age 35±5y; BMI 27.5±1.5 kg/m2). All food was provided for 6 mo, and self‐administered for the next 6 mo. Outcomes included TEE, RMR, and body fat and fat free mass (FFM). Results Absolute values for RMR decreased during the intervention compared to baseline but measured RMR during CR was not significantly different from RMR predicted from body composition, and RMR changes over time assessed at 3, 6 and 12 mo were not statistically significant after accounting for decreases in body fat and FFM. TEE also decreased significantly with CR but at 12 mo there was a greater reduction in TEE than that anticipated due to the loss of FFM and fat mass (P=0.018). Conclusions This study found no evidence for long‐term metabolic adaptation to weight loss in assessments of RMR, but an adaptive reduction in TEE was observed, which may serve to protect the body against weight loss and contribute to weight regain.Support: NIH grants: NGA‐3U01‐AG20480&amp; #H150001; USDA No. 58‐1950‐4‐401.

Methylphenidate Hydrochloride Increases Energy Expenditure in Healthy Adults

To examine the effects of methylphenidate hydrochloride (MPH) on resting energy expenditure (REE) and postprandial energy expenditure (PEE) and substrate partitioning. Seven healthy men and seven healthy women participated in this double-blind, randomized, placebo-controlled, crossover study. MPH (0.5 mg/kg) or placebo was administered orally in the fasting state, 60 min before a REE measurement, and 90 min before a standardized breakfast of approximately 650 kcal. REE, PEE, and respiratory exchange ratio (RER) were obtained from indirect calorimetry. Body composition was measured using DEXA. Vital signs (blood pressure (BP) and heart rate (HR)) were assessed pre- and post-administration of MPH or placebo in every session. During the, MPH condition, REE increased over values observed during the placebo session (7%, P < 0.001). No changes in fasting RER were noted. Although PEE continually decreased with time as expected, MPH treatment resulted in significantly greater PEE values at 90 min (5%, P < 0.01). No significant effects of MPH were found for vital signs (HR, systolic, and diastolic BP). MPH causes a significant increase in both REE and PEE without the significant changes in HR and BP that are commonly associated with psychostimulant use.

Estimation of Energy Expenditure in Healthy Adults From the YMCA Submaximal Cycle Ergometer Test

There is a lack of simple field methods for obtaining accurate and reliable information on energy expenditure (EE) during physical activity. This study aims to investigate the validity of the YMCA Submaximal Cycle Ergometer Test to predict EE at submaximal intensities. Twenty-eight participants of each sex volunteered for the study and performed a maximal oxygen uptake (VO(2)max) incremental test, a submaximal exercise test (three 5-min loads at 40%, 55%, and 70% VO(2)max) and the YMCA Test that provides an extrapolation based on heart rate (HR) to predict VO(2) (YMCA VO(2)-HR). Results indicate that predicted VO(2)max from the YMCA Test was significantly different from the gold standard. However, predicted VO(2) at different relative submaximal intensities did not significantly differ from directly measured VO(2). In conclusion, the HR method using the YMCA VO(2)-HR relationship appears to be effective in predicting EE at submaximal intensities but not at maximum efforts.

Chronicle of the Institute of Medicine physical activity recommendation: how a physical activity recommendation came to be among dietary recommendations

Under a contract from the US Department of Health and Human Services, a multidisciplinary expert panel was appointed to review "the scientific literature regarding macronutrients and energy and develop estimates of daily intake that are compatible with good nutrition throughout the life span and that may decrease the risk of chronic disease." Within the overall context of the charge, the panel sought to quantify rates and components of daily energy expenditure in healthy adults with body mass indexes (in kg/m(2)) of 18.5-25, in growing children (in the 5th-85th percentiles of weight-for-length), and in pregnant and lactating women. The recommendation for adults became the daily energy intake necessary to cover total daily energy expenditure (TEE). For special cases, dietary macronutrients and energy to support child growth and pregnancy and lactation by women were considered. TEE was based on the results of doubly labeled water studies, and the TEE results were presented in units of physical activity level (PAL = TEE/BEE) and DeltaPAL, where BEE is the basal rate of energy expenditure extrapolated to 24 h. Most adults (66%) maintaining a BMI in the healthful range had PAL values >1.6, or the equivalent of > or =60 min of physical activity of moderate intensity each day. Hence, on the basis of the doubly labeled water data and the results of epidemiologic studies, the physical activity recommendation for adults was judged to be 60 min/d. The recommendation for children was for a minimum of 60 min/d. In conclusion, dietary and physical activity recommendations for healthful living are inextricably intertwined. Adequate physical activity provides protection against chronic diseases and helps to balance energy expenditure and intake.

Energy expenditure determined by self-reported physical activity is related to body fatness.

Activity self-reports are a commonly used tool in assessing daily physical activity (PA) and associated energy expenditure (EE). This study examined the effect of relative body fatness (%BF) on differences between self-reported and measured duration and associated EE in healthy adults. Men and women (n = 115, age 38+/-9 years), ranging in %BF from 7.9% to 58.9%, spent two separate days (normal and exercise) in a whole-room indirect calorimeter where EE was measured. While in the room calorimeter, subjects reported the type, intensity, and duration of each performed PA. The Compendium of Physical Activity was used to calculate the energy cost of each reported activity. The EE of all self-reported activities (EEr) was categorized into four intensity levels, synchronized, and compared with EE from the room calorimeter (EEm). With increasing %BF, subjects significantly overestimated duration of more strenuous activities (> or =4.5), while underestimating moderate activities (2.5 to 4.4 metabolic equivalents (METs)). Misreporting of duration and/or intensity caused an overestimation or underestimation of PA-associated EE at these levels. Reported EE sleep was lower than measured EE sleep, although both had similar durations. As a result, total EEr was similar to EEm. Individual variability of daily total PA and associated EE generated from self-reports in adults is high. Persons with a higher %BF report duration and/or intensity of moderate to high levels of PA with lower accuracy than leaner individuals. We conclude using the Compendium of Physical Activity is not suitable for the accurate estimation of self-reported EE of AA in adults with a higher %BF.