scholarly journals Secular trends in under-reporting in young people

2005 ◽  
Vol 93 (2) ◽  
pp. 241-247 ◽  
Author(s):  
K. L. Rennie ◽  
S. A. Jebb ◽  
A. Wright ◽  
W. A. Coward
Keyword(s):  
Young People ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Activity Level ◽  
Energy Requirements ◽  
Activity Levels ◽  
Nutrition Survey ◽  
Energy Needs ◽  
Dietary Records ◽  
Prevalence Of Obesity

National survey data show that reported energy intake has decreased in recent decades despite a rise in the prevalence of obesity. This disparity may be due to a secular increase in under-reporting or a quantitatively greater decrease in energy expenditure. This study examines the extent of under-reporting of energy intake in the National Diet and Nutrition Survey (NDNS) in young people aged 4–18 years in 1997 using published equations to calculate estimated energy requirements. It explores secular changes by comparison with the Diets of British School Children (DBSC) survey in 10–11- and 14–15-year-olds in 1983. In the NDNS, under-reporting (estimated energy requirements – energy intake) represented 21 % of energy needs in girls and 20 % in boys. The magnitude of under-reporting increased significantly with age (P<0·001) and was higher in overweight than lean individuals over 7 years of age. To compare reported energy intake in DBSC and NDNS, the estimated physical activity level from dietary records (dPAL=reported energy intake/predicted BMR) was calculated. If there were no under-reporting, dPAL would represent the subject's true activity level. However, dPAL from the NDNS was significantly lower than that from the DBSC by 8 % and 9 % in boys and girls for those aged 10–11 years, and by 14 % and 11 % for 14–15-year-olds respectively, reaching physiologically implausible levels in the 14–15-year-old girls (dPAL=1·17). If activity levels have remained constant between the two surveys, under-reporting has increased by 8–14 %. The evidence supports a secular trend towards increased under-reporting between the two surveys, but the precise magnitude cannot be quantified in the absence of historical measures of energy expenditure.

scholarly journals Estimating under-reporting of energy intake in dietary surveys using an individualised method

2007 ◽  
Vol 97 (6) ◽  
pp. 1169-1176 ◽  
Author(s):  
Kirsten L. Rennie ◽  
Andy Coward ◽  
Susan A. Jebb
Keyword(s):  
Physical Activity ◽  
Energy Intake ◽  
Minimum Energy ◽  
Population Based ◽  
Activity Level ◽  
Energy Requirements ◽  
Nutrition Survey ◽  
Energy Needs ◽  
Dietary Surveys ◽  
Dietary Records

Under-reporting (UR) of energy intake (EI) by self-reported dietary methods is well-documented but the methods used to estimate UR in population-based studies commonly assume a sedentary lifestyle. We compared estimated UR using individualised estimates of energy requirements with a population cut-off based on minimum energy needs. UR was estimated for 1551 adults aged 19–64 years enrolled in the National Diet and Nutrition Survey. Physical activity diaries and 7 d weighed dietary records were completed concurrently. Mean daily EI (kJ/d) was calculated from the dietary records. Reported physical activity was used to assign each subject's activity level, and then to calculate estimated energy requirements (EER) from published equations. UR was calculated both as EER – EI with an adjustment for daily EER and EI variation, and also by a population method. By the individual method UR was approximately 27 % of energy needs in men and 29 % in women, with 75 % of men and 77 % of women classified as under-reporters; by the population method 80 and 88 % were classified as under-reporters respectively. When subjects who reported their eating being affected by dieting or illness during dietary recording were excluded, UR was 25 % of energy needs in both sexes. UR was higher in overweight and obese men and women compared with their lean counterparts (P < 0·001). UR of EI must be considered in dietary surveys. The EER method allows UR to be quantified and takes into account an individual's activity level. Measures of physical activity and questions to identify under-eating during dietary recording may help to evaluate secular trends in UR.

Energy Needs of Athletes

2001 ◽  
Vol 26 (S1) ◽  
pp. S202-S219 ◽  
Author(s):  
Louise M. Burke
Keyword(s):  
Energy Intake ◽  
Energy Requirements ◽  
Activity Levels ◽  
Record Keeping ◽  
Energy Needs ◽  
Self Reports ◽  
Optimal Health ◽  
And Performance ◽  
True Energy

Each athlete has unique energy requirements, which underpin their ability to meet total nutritional goals. For everyday dietary planning and evaluation, energy requirements can be predicted via estimations of RMR and activity levels. Research methods such as indirect calorimetry and DLW allow energy requirements to be measured, and may be useful to confirm situations in which an athlete has a true energy balance anomaly. There is some evidence that individual athletes may have reduced energy requirements, although this occurs less frequently than is reported. Most self-reports of food intake substantially under-estimate energy intake, due to under-reporting or under-eating during the period of record keeping. Many athletes are over-focused on reducing body mass and body fat below levels that are consistent with long-term health and performance. Restrained eating can cause significant detrimental outcomes to body function. Leptin may be involved in modulating or mediating some of these changes. Athletes should use their energy budget to choose foods that provide macronutrient and micronutrient needs for optimal health and performance. Practical advice may help athletes to achieve energy intake challenges.

scholarly journals Energy Requirement for Elderly CKD Patients

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3396
Author(s):  
Claudia D’Alessandro ◽  
Domenico Giannese ◽  
Monica Avino ◽  
Adamasco Cupisti
Keyword(s):  
Physical Activity ◽  
Kidney Disease ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Sedentary Lifestyle ◽  
Energy Requirement ◽  
Activity Level ◽  
Activity Levels ◽  
Protein Energy Wasting ◽  
Cross Sectional

The correct management of energy intake is crucial in CKD (chronic kidney disease) patients to limit the risk of protein energy wasting especially during low-protein regimes, but also to prevent overweight/obesity. The aim of this study was to assess the energy requirement of older CKD patients using objective measurements. This cross-sectional study enrolled 67 patients (aged 60–86 years) with CKD stages 3–5 not on dialysis, all of whom were metabolically and nutritionally stable. All patients underwent indirect calorimetry and measurement of daily physical activity level expressed by the average daily Metabolic Equivalent Task, using an accelerometer, in order to measure total energy expenditure (mTEE). Estimated TEE (eTEE) was derived from predictive equations for resting energy expenditure and physical activity levels coefficients. The mTEE were lower than eTEE-based on Harris–Benedict or Schofield or Mifflin equations (1689 ± 523 vs. 2320 ± 434 or 2357 ± 410 or 2237 ± 375 Kcal, p < 0.001, respectively). On average mTEE was 36.5% lower than eTEE. When eTEE was recalculated using ideal body weight the gap between mTEE and eTEE was reduced to 26.3%. A high prevalence of a sedentary lifestyle and reduced physical capabilities were also detected. In conclusion, our data support the energy intake of 25–35 Kcal/Kg/d recently proposed by the NKF-KDOQI (National Kidney Foundation-Kidney Disease Improving Quality Initiative) guidelines on nutritional treatment of CKD, which seem to be more adequate and applicable than that of previous guidelines (30–35 Kcal/Kg/d) in elderly stable CKD patients with a sedentary lifestyle. According to our findings we believe that an energy intake even lower than 25 Kcal/Kg/d may be adequate in metabolically stable, elderly CKD patients with a sedentary lifestyle.

scholarly journals Comparison of Energy Expenditure Observed between Scheduled Activities in Collegiate Team-Sport Female Athletes

Sports ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 50
Author(s):  
Jessica M. Moon ◽  
Hannah A. Zabriskie ◽  
Patrick S. Harty ◽  
Bradley S. Currier ◽  
Julia C. Blumkaitis ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Female Athletes ◽  
Team Sport ◽  
Activity Level ◽  
Ncaa Division Ii ◽  
Activity Monitors ◽  
Energy Needs ◽  
The Difference ◽  
Academic Year ◽  
Activity Energy

Energy needs of female team-sport athletes are poorly understood with no evidence highlighting differences present between scheduled activities. The purpose of this study was to examine the difference in energy expenditure between NCAA Division II female basketball (BBALL) and lacrosse (LAX) athletes during different scheduled team activities. Female BBALL (n = 13; 19.8 ± 1.3 yrs; 173.9 ± 13.6 cm; 74.6 ± 9.1kg; 27.1 ± 3.2%fat) and LAX (n = 20; 20.4 ± 1.8yrs; 168.4 ± 6.6cm; 68.8 ± 8.9kg; 27.9 ± 3.1%fat) athletes were outfitted with heart rate and activity monitors during four consecutive days on five different occasions (20 days total) across an entire academic year to assess differences in total daily activity energy expenditure (TDEE), activity energy expenditure (AEE), and physical activity level (PAL). Data were categorized by type of scheduled daily activities: Practice, Game, Conditioning, or Off. Independent of day type, TDEE, AEE, and PAL levels were greater (p < 0.05) in BBALL athletes. For each sport, TDEE, AEE, and PAL were significantly different (p < 0.05) between classified activity days. BBALL and LAX athletes experienced higher values on game days for TDEE, AEE, and PAL, with the lowest values experienced on off days. In conclusion, calculated levels of TDEE, AEE, and PAL in female collegiate BBALL and LAX athletes were determined to be different, irrespective of the scheduled activity.

scholarly journals Effect of infection on energy requirements of infants and children

2005 ◽  
Vol 8 (7a) ◽  
pp. 1187-1190 ◽  
Author(s):  
Cutberto Garza
Keyword(s):  
Energy Expenditure ◽  
Young Children ◽  
Nutritional Status ◽  
Severity Of Illness ◽  
Energy Requirements ◽  
Nutritional Adequacy ◽  
Energy Needs ◽  
Catch Up ◽  
Infants And Young Children ◽  
Quantitative Nature

AbstractThis is a brief review of the effects of infection and other forms of stress on the energy needs of infants and young children. The results of studies estimating energy expenditure in infants and young children during illness and convalescence were evaluated. Expectations that energy expenditure is influenced by the severity of illness, nutritional status, the nature of the illness, the presence and intensity of ‘catch-up growth,’ and the stage of convalescence are generally supported by the literature. The qualitative or quantitative nature of responses, however, are not uniform for diverse illnesses in children in diverse planes of nutritional adequacy.

scholarly journals Energy Availability in Male and Female Elite Wheelchair Athletes over Seven Consecutive Training Days

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3262 ◽  
Author(s):  
Thomas Egger ◽  
Joelle Leonie Flueck
Keyword(s):  
Energy Expenditure ◽  
Energy Intake ◽  
Female Athletes ◽  
Resting Energy Expenditure ◽  
Energy Availability ◽  
Male Athletes ◽  
Wheelchair Athletes ◽  
Energy Needs ◽  
Exercise Energy Expenditure ◽  
And Training

Background: Low energy availability (LEA) is a major problem as athletes often restrict their energy intake. It has been shown that LEA occurs often in female and endurance athletes and in athletes from weight-sensitive or aesthetic sports. The purpose of this study was to investigate energy availability (EA) in elite wheelchair athletes. Methods: Fourteen elite wheelchair athletes (8 males; 6 females) participated. Data were collected using a weighed seven-day food and training diary to estimate energy intake and exercise energy expenditure. Resting energy expenditure and body composition were measured, whereas energy balance (EB) was calculated. Results: Measured over 7 days, EA was significantly different (36.1 ± 6.7 kcal kg−1 FFM day−1) in male compared to female (25.1 ± 7.1 kcal kg−1 FFM day−1) athletes (p < 0.001). From all analyzed days, LEA occurred in 73% of the days in female athletes and in 30% of the days in male athletes. EB was positive in male athletes (+169.1 ± 304.5 kcal) and negative (−288.9 ± 304.8 kcal) in female athletes. Conclusions: A higher prevalence of LEA was found in female compared to male athletes. A higher energy intake would be recommended to meet energy needs and to maximize training adaptation.

scholarly journals Physical activity and energy balance

1999 ◽  
Vol 2 (3a) ◽  
pp. 335-339 ◽  
Author(s):  
Marleen A. Van Baak
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Body Mass ◽  
Resting Energy Expenditure ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Resting Energy

AbstractEnergy expenditure rises above resting energy expenditure when physical activity is performed. The activity-induced energy expenditure varies with the muscle mass involved and the intensity at which the activity is performed: it ranges between 2 and 18 METs approximately. Differences in duration, frequency and intensity of physical activities may create considerable variations in total energy expenditure. The Physical Activity Level (= total energy expenditure divided by resting energy expenditure) varies between 1.2 and 2.2–2.5 in healthy adults. Increases in activity-induced energy expenditure have been shown to result in increases in total energy expenditure, which are usually greater than the increase in activity-induced energy expenditure itself. No evidence for increased spontaneous physical activity, measured by diary, interview or accelerometer, was found. However, this does not exclude increased physical activity that can not be measured by these methods. Part of the difference may also be explained by the post-exercise elevation of metabolic rate.If changes in the level of physical activity affect energy balance, this should result in changes in body mass or body composition. Modest decreases of body mass and fat mass are found in response to increases in physical activity, induced by exercise training, which are usually smaller than predicted from the increase in energy expenditure. This indicates that the training-induced increase in total energy expenditure is at least partly compensated for by an increase in energy intake. There is some evidence that the coupling between energy expenditure and energy intake is less at low levels of physical activity. Increasing the level of physical activity for weight loss may therefore be most effective in the most sedentary individuals.

scholarly journals Water loss as a function of energy intake, physical activity and season

2005 ◽  
Vol 93 (2) ◽  
pp. 199-203 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Guy Plasqui ◽  
Annelies H. C. Goris
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Water Intake ◽  
Water Loss ◽  
Resting Energy Expenditure ◽  
Activity Level ◽  
Seasonal Effects ◽  
Water Turnover ◽  
Doubly Labelled Water

Although water is an important nutrient, there are no recommended intake values. Here, water intake, energy intake, physical activity and water loss was measured over 1 week in summer and in winter. Subjects were healthy volunteers, forty-two women and ten men, mean age of 29 (sd 7) years and mean BMI 21·8 (sd 2·2) kg/m2. Water intake was measured with a 7 d food and water record. Physical activity level (PAL) was observed as the ratio of total energy expenditure, as measured with doubly labelled water, to resting energy expenditure as measured in a respiration chamber. Water loss was measured with the deuterium elimination method. Water loss was highly reproducible and ranged from 0·20 to 0·35 l/MJ, independent of season and activity level, with higher values in women. Water loss was related to water and energy intake in summer (r 0·96, P<0·0001 and r 0·68, P<0·001, respectively) as well as in winter (r 0·98, P<0·0001 and r 0·63, P<0·01, respectively). Water loss was, for men, higher in subjects with a higher physical activity in summer (r 0·94, P<0·0001) and in winter (r 0·70, P<0·05). Normalizing water loss for differences in energy expenditure by expressing water loss in litres per MJ resulted in the same value for men in summer and winter. For women, physical activity-adjusted values of water loss were higher, especially in summer. In men, water turnover was determined by energy intake and physical activity, while seasonal effects appeared through energy expenditure. Women showed a higher water turnover that was unrelated to physical activity.

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