BACKGROUND/OBJECTIVES: Various accelerometer equations are used to predict energy expenditure (EE). On the other hand, the development of these equations and their validation studies have been conducted primarily without including older adults. This study assessed the accuracy of 8 ActiGraph accelerometer equations to predict the energy cost of walking in older adults. SUBJECTS/METHODS: Thirty-one participants with a mean age of 74.3 ± 3.3 yrs were enrolled in this study (20 men and 11 women). The participants completed 8 walking activities, including 5 treadmill and 3 self-paced walking activities. The EE was measured using a portable indirect calorimeter, with each participant simultaneously wearing the ActiGraph accelerometer. Eight ActiGraph equations were assessed for accuracy by comparing the predicted EE with indirect calorimetry results. RESULTS: All equations resulted in an overall underestimation of the EE across the activities (bias −1 to −1.8 kcal·min −1 and −0.7 to −1.8 metabolic equivalents [METs]), as well as during treadmill-based (bias −1.5 to −2.9 kcal·min−1 and −0.9 to −2.1 METs) and self-paced (bias −1.2 to −1.7 kcal·min−1 and −0.2 to −1.3 METs) walking. In addition, there were higher rates of activity intensity misclassifications, particularly among vigorous physical activities. CONCLUSIONS The ActiGraph equations underestimated the EE for walking activities in older adults. In addition, these equations inaccurately classified the activities based on their intensities. The present study suggests a need to develop ActiGraph equations specific to older adults.

Purpose: This study evaluated the accuracy of the 24-hour diet recall method for estimating energy intakes in elderly women using the doubly labeled water (DLW) method. Methods: The subjects were 23 elderly women with a mean age of 70.3 ± 3.3 years and body mass index (BMI) of 23.9 ± 2.8 kg/m 2 . The total energy expenditure (TEEDLW ) was determined by using the DLW and used to validate the 24-hour diet recall method. The total energy intake (TEI) was calculated from the 24-hour diet recall method for three days. Results: TEI (1,489.6 ± 211.1 kcal/day) was significantly lower than TEEDLW (2,023.5 ± 234.9 kcal/day) and was largely under-reported by −533.9 ± 228.0 kcal/day (−25.9%). The accurate prediction rate of elderly women in this study was 8.7%. The Bland-Altman plot, which was used to evaluate the TEI and the TEEDLW , showed that the agreement between them was negatively skewed, ranging from −980.8 kcal/day to −86.9 kcal/day. Conclusion This study showed that the energy intake of elderly women was underreported.Strategies to increase the accuracy of the 24-hour diet recall methods in the elderly women should be studied through analysis of factors that affect underreporting rate. Further studies will be needed to assess the validity of the 24-hour diet recall method in other population groups.

BACKGROUND/OBJECTIVES: The objectives of this study were to evaluate the accuracy of the Dietary Reference Intakes (DRI) for estimating the energy requirements of older adults, and to develop and validate new equations for predicting the energy requirements of this population group. MATERIALS/METHODS: The study subjects were 25 men and 23 women with a mean age of 72.2 ± 3.9 years and 70.0 ± 3.3 years, and mean BMI of 24.0 ± 2.1 and 23.9 ± 2.7, respectively. The total energy expenditure (TEE) was measured by using the doubly labeled water (DLW) method, and used to validate the DRI predictive equations for estimated energy requirements (EER) and to develop new EER predictive equations. These developed equations were cross-validated by using the leave-one-out technique. RESULTS: In men, the DRI equation had a −7.2% bias and accurately predicted the EER (meaning EER values within ±10% of the measured TEE) for 64% of the subjects, whereas our developed equation had a bias of −0.1% and an accuracy rate of 84%. In women, the bias was −6.6% for the DRI equation and 0.2% for our developed equation, and the accuracy rate was 74% and 83%, respectively. The predicted EER was strongly correlated with the measured TEE, for both the DRI equations and our developed equations (Pearson's r = 0.915 and 0.908, respectively). CONCLUSIONS: The DRI equations provided an acceptable prediction of EER in older adults and these study results therefore support the use of these equations in this population group. Our developed equations had a better predictive accuracy than the DRI equations, but more studies need to be performed to assess the performance of these new equations when applied to an independent sample of older adults.
Adult ; Aged ; Bias (Epidemiology) ; Energy Metabolism ; Female ; Humans ; Male ; Methods ; Nutritional Requirements ; Population Groups ; Recommended Dietary Allowances ; Water

PURPOSE: This study evaluated amounts of physical activity and sedentary behavior patterns in older adults using an accelerometer and physical activity diary. METHODS: Forty-nine older adults (male 26, female 23) participated in this study. They wore a triaxial accelerometer (ActiGraph wGT3X-BT) for one week and wrote a physical activity diary concurrently for three days. Amounts of physical activity, sedentary behavior patterns, and percentage of meeting the World health organization (WHO) physical activity guidelines were analyzed using an accelerometer. In addition, the contents recorded in the physical activity diary were reclassified to 18 levels and the average daily times spent on each level and physical activity level (PAL) were calculated. RESULTS: The subjects were sitting more than half of the day except for bedtime and shower time (59.2%). The numbers of prolonged ≥30, 40 minutes sedentary bouts were significantly higher in males (3.10 ±1.34, 1.78 ±1.09, respectively) than in females (2.34 ±1.22, 1.32 ±1.07, respectively) and the number of breaks per sedentary hour was significantly less in males (5.74 ±0.89) than in females (6.44 ±0.71). Among the activities corresponding to sedentary behavior surveyed by the physical activity diary, only the amount of time spent ‘resting, speaking and watching TV’ showed a significant correlation with the sedentary behavior pattern measured by the accelerometer. The persistence of sedentary behavior was interrupted primarily when low intensity activity was performed. Only 22.4% of the subjects met WHO physical activity guidelines. CONCLUSION: Based on these results, the physical activity guidelines for older adults should be developed that reflects the appropriate strength, including low activity level and maintenance time of moderate to vigorous physical activity.
Adult ; Female ; Humans ; Male ; Motor Activity ; World Health Organization

BACKGROUND/OBJECTIVES: Dietary Reference Intakes (DRI) for energy are derived from total energy expenditure (TEE) measured using the doubly labelled water (DLW) method. The objective of this study was to assess the validity of DRI for predicting the energy requirements of elementary school-age children. SUBJECTS/METHODS: The present study involved 25 elementary school-age children aged between 9 and 11 years. TEE was assessed by the DLW method, and the results were compared with the TEE predicted by the DRI equations in order to evaluate accuracy. RESULTS: The subjects' TEE measured by the DLW method was 1,925.2 ± 380.9 kcal/day in boys and 1,930.0 ± 279.4 kcal/day in girls, whereas resting energy expenditure was 1,220.2 ± 176.9 kcal/day in boys and 1,245.9 ± 171.3 kcal/day for girls. The physical activity level was 1.58 ± 0.20 in boys and 1.55 ± 0.13 in girls. The mean bias between the predicted and measured TEE was 12.6% in boys and −1.6% in girls, and the percentage of accurate predictions was 28.6% and 63.6%, respectively. In boys, the equation resulted in underprediction of TEE among the subjects having low TEE values, whereas there was overprediction among subjects having high TEE values as shown by the Bland-Altman plot. On the contrary, this proportional bias was not observed in girls. CONCLUSIONS: The findings of this study suggest that the DRI equation for energy could result in the overestimation of energy requirements in elementary school-age boys. In the case of girls, the equations could be accurate at the group level. However, the DRI appears to be invalid for individual girls, as more than one third of girls had their TEE inaccurately predicted. We recommend more studies for confirmation of these results.
Bias (Epidemiology) ; Child* ; Energy Metabolism ; Female ; Humans ; Methods ; Motor Activity ; Nutritional Requirements ; Recommended Dietary Allowances* ; Water

BACKGROUND/OBJECTIVES: Indirect calorimetry is the gold-standard method for the measurement of resting energy expenditure. However, this method is time consuming, expensive, and requires highly trained personnel. To overcome these limitations, various predictive equations have been developed. The objective of this study was to assess the validity of predictive equations for resting energy expenditure (REE) in Korean non-obese adults. SUBJECTS/METHODS: The present study involved 109 participants (54 men and 55 women) aged between 20 and 64 years. The REE was measured by indirect calorimetry. Nineteen REE equations were evaluated for validity, by comparing predicted and measured REE results. Predictive equation accuracy was assessed by determining percent bias, root mean squared prediction error (RMSE), and percentage of accurate predictions. RESULTS: The measured REE was significantly higher in men than in women (P < 0.001), but the difference was not significant after adjusting for body weight (P > 0.05). The equation developed in this study had an accuracy rate of 71%, a bias of 0%, and an RMSE of 155 kcal/day. Among published equations, the FAO(weight) equation gave the highest accuracy rate (70%), along with a bias of −4.4% and an RMSE of 184 kcal/day. CONCLUSIONS: The newly developed equation provided the best accuracy in predicting REE for Korean non-obese adults. Among the previously published equations, the FAO(weight) equation showed the highest overall accuracy. Regardless, at an individual level, the equations could lead to inaccuracies in a considerable number of subjects.
Adult* ; Bias (Epidemiology) ; Body Weight ; Calorimetry, Indirect ; Energy Metabolism* ; Female ; Humans ; Male ; Methods

No abstract available.

During the management of critical illness, optimal nutritional support is an important key for achieving positive clinical outcomes. Compared to healthy people, critically ill patients have higher energy expenditure, thereby their energy requirements and risk of malnutrition being increased. Assessing individual nutritional requirement is essential for a successful nutritional support, including the adequate energy supply. Methods to assess energy requirements include indirect calorimetry (IC) which is considered as a reference method, and the predictive equations which are commonly used due to the difficulty of using IC in certain conditions. In this study, a literature review was conducted on the energy metabolic changes in critically ill patients, and the implications for the estimation of energy requirements in this population. In addition, the issue of optimal caloric goal during nutrition support is discussed, as well as the accuracy of selected resting energy expenditure predictive equations, commonly used in critically ill patients.
Calorimetry, Indirect ; Critical Illness* ; Energy Metabolism ; Humans ; Malnutrition ; Methods ; Nutritional Requirements ; Nutritional Support

OBJECTIVES: This study assessed the accuracy of the 24-hour diet recall method for estimating the energy intake of elderly men using the doubly labeled water as a reference method. METHODS: Seventeen subjects (mean age 72.5 ± 3.9 years), who maintained the same body weight during the two weeks study period, were included in this study. Three 24-hour diet recalls (two weekdays and one weekend) were obtained over a 14 day period to estimate the mean energy intake. The total energy expenditure was measured over the same 14 days using the doubly labeled water method. The total energy intake and total energy expenditure were compared by paired t-test. RESULTS: The total energy intake from the 24-hour diet recalls method was 2536.7 ± 350.6 kcal/day, and the total energy expenditure from the doubly labeled water method was 2659.8 ± 306.8 kcal/day. The total energy intake was slightly under-reported by −123.2 ± 260.8 kcal/day (−4.4%). On the other hand, no significant difference was observed between the total energy intake and total energy expenditure of the subjects (p=0.069). The percentage of accurate predictions was 64.7%. The correlation between the total energy intake and total energy expenditure was statistically significant (r=0.697, p < 0.005). CONCLUSIONS: The present study supports the use of the 24-hour diet recall method to estimate the mean energy intake in elderly men group. More studies are needed to assess the validity of 24-hour diet recall method in other population groups, including elderly women, adults and children.
Adult ; Aged ; Body Weight ; Child ; Diet ; Energy Intake ; Energy Metabolism ; Female ; Hand ; Humans ; Male ; Methods ; Population Groups ; Water

OBJECTIVES: This study assessed the accuracy of the 24-hour diet recall method for estimating the energy intake of elderly men using the doubly labeled water as a reference method. METHODS: Seventeen subjects (mean age 72.5 ± 3.9 years), who maintained the same body weight during the two weeks study period, were included in this study. Three 24-hour diet recalls (two weekdays and one weekend) were obtained over a 14 day period to estimate the mean energy intake. The total energy expenditure was measured over the same 14 days using the doubly labeled water method. The total energy intake and total energy expenditure were compared by paired t-test. RESULTS: The total energy intake from the 24-hour diet recalls method was 2536.7 ± 350.6 kcal/day, and the total energy expenditure from the doubly labeled water method was 2659.8 ± 306.8 kcal/day. The total energy intake was slightly under-reported by −123.2 ± 260.8 kcal/day (−4.4%). On the other hand, no significant difference was observed between the total energy intake and total energy expenditure of the subjects (p=0.069). The percentage of accurate predictions was 64.7%. The correlation between the total energy intake and total energy expenditure was statistically significant (r=0.697, p < 0.005). CONCLUSIONS: The present study supports the use of the 24-hour diet recall method to estimate the mean energy intake in elderly men group. More studies are needed to assess the validity of 24-hour diet recall method in other population groups, including elderly women, adults and children.
Adult ; Aged ; Body Weight ; Child ; Diet ; Energy Intake ; Energy Metabolism ; Female ; Hand ; Humans ; Male ; Methods ; Population Groups ; Water