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Estimation of dietary energy requirements in children and adolescents

Estimation of dietary energy requirements in children and adolescents
Author:
Nancy F Butte, PhD
Section Editor:
Steven A Abrams, MD
Deputy Editor:
Alison G Hoppin, MD
Literature review current through: Jan 2024.
This topic last updated: Jan 19, 2024.

INTRODUCTION — Nutritional needs of children and adolescents are strongly influenced by requirements for somatic growth. This is particularly true during adolescence, when healthy individuals accrue up to 50 percent of their adult weight [1]. Recommendations for dietary energy intake are designed to maintain health, promote optimal growth and maturation, and support a desirable level of physical activity.

The physiologic determinants of energy needs and recommended energy intakes for children and adolescents are reviewed here. A clinical approach to nutritional assessment and counseling is discussed in the following topic reviews:

(See "Indications for nutritional assessment in childhood".)

(See "Dietary recommendations for toddlers and preschool and school-age children".)

(See "Dietary history and recommended dietary intake in children".)

DETERMINANTS OF ENERGY NEEDS

Components of energy needs

Estimated energy requirement (EER) – The EER for children and adolescents is comprised of:

Total energy expenditure (TEE) – This consists of the following components:

-Basal energy expenditure (BEE) – This is the largest component (approximately 45 to 70 percent of TEE) and is strongly influenced by body composition (fat-free mass).

-Physical activity energy expenditure – This accounts for approximately 30 percent of TEE and varies substantially among individuals.

-Thermic effect of food (TEF) – Equal to approximately 10 percent of the energy content of the food consumed.

-In addition, there are very small contributions from the synthesis cost of growth (the energy expended in tissue synthesis) and thermoregulation (which is negligible under thermoneutral conditions).

Energy cost of growth – The main component of the energy cost of growth is the energy deposited in newly synthesized tissues (stored energy), which ranges from approximately 15 kcal/day in children to 30 kcal/day in rapidly growing adolescents. There is also a small component from the synthesis cost of growth, which is the energy expended in the synthesis of the newly accreted tissue and is included in TEE, as noted above [2].

Techniques for estimating each of these components are outlined below, followed by prediction equations for total energy requirements.

Total energy expenditure — TEE is the sum of BEE, thermoregulation, TEF, physical activity, and synthesis costs of growth. The two largest components of energy requirements are BEE and physical activity; the proportions of these vary substantially, depending on age, sex, and habitual activity (figure 1).

TEE can be measured by the doubly labeled water (DLW) technique. Prior to the advent of DLW, TEE was estimated by a factorial approach numerating the various components. DLW is a noninvasive technique that uses the stable isotopes deuterium and oxygen-18 to estimate the average TEE over a 10- to 14-day period [3,4]. The DLW method measures the sum of BEE, thermoregulation, TEF, physical activity, and synthetic cost of growth.

Basal energy expenditure — BEE is the energy required for cellular and tissue processes that maintain life. It represents between 45 and 70 percent of daily TEE, depending on age, sex, body size, and body composition. BEE is strongly correlated with the fat-free mass that comprises the bulk of active metabolic tissue. As a result, BEE relative to weight gradually declines through childhood and adolescence. This is due to the differential growth rates of organs with high metabolic rates (ie, brain, liver, heart, and kidney) to those with lower metabolic rates (ie, muscle and adipose) [5]. Moreover, there are marked sex differences in BEE during and after adolescence because of differences in the timing, intensity, and duration of the adolescent growth spurt. By the end of puberty, boys tend to have substantially more fat-free mass compared with girls, which is associated with substantially higher BEE and thus total energy requirements.

BEE can be expressed as either the basal metabolic rate (BMR) or resting metabolic rate (RMR). Although similar, the terms should not be used interchangeably. Both are measured by indirect calorimetry, performed with the subject resting comfortably, supine, awake, and motionless in a thermoneutral environment. BMR is measured after a 12- to 14-hour overnight fast and in a state of mental relaxation, whereas RMR is measured two hours after eating and the conditions are not as carefully controlled [6]. RMR is approximately 10 percent greater than BMR [7].

For clinical or research purposes, BMR can be measured by indirect calorimetry or estimated using one of several prediction equations. For children and adolescents, most authorities use the Schofield prediction equations, which take into account sex, age, and body weight (table 1) [8,9].

Energy expended for physical activity — Energy expenditure for physical activity is the most variable component of TEE and represents between 30 and 55 percent of total energy needs [10]. It depends on the time and intensity of physical activity and is typically expressed as a multiple of BMR.

Patterns of activity — The patterns of physical activities among children and adolescents vary considerably across communities. Guidelines in the United States recommend that children and adolescents ages 6 through 17 years should engage in moderate to vigorous aerobic physical activity for at least 60 minutes daily [11], as well as some exercise designed to strengthen muscles and bones. Mounting evidence indicates that the vast majority of children and adolescents fall short of these goals [12,13]. In addition, sedentary behaviors, including watching television and other screen devices, are common among adolescents and are associated with worse cardiovascular fitness [14,15]. Interventions to increase physical activity in children and adolescents in the United States are needed, especially for girls and for populations with limited financial resources and opportunities [16]. Counseling strategies to promote physical activity are outlined separately. (See "Prevention and management of childhood obesity in the primary care setting", section on 'Counseling'.)

Techniques to measure energy cost of physical activity — For research purposes, standards for energy expended in various physical activities may be assessed by indirect calorimetry, heart rate monitoring, and accelerometry.

Indirect calorimetry can be used to measure the energy cost of discrete physical activities. This method estimates energy expenditure and substrate utilization by measuring oxygen consumption and carbon dioxide production [17]. A number of calorimeter systems are available to measure gas exchange in the laboratory or clinical setting; these devices estimate resting energy expenditure by analyzing oxygen consumption and carbon dioxide production in breath, with variable accuracy. In clinical practice, these devices are occasionally used to estimate the energy requirements of patients with unpredictable energy needs, such as burn patients, cancer patients, preterm infants, and patients who do not respond to nutritional interventions. Handheld devices are generally not useful for clinical care, due to low accuracy.

Heart rate monitoring, calibrated against indirect calorimetry, can be used to estimate energy expenditure because a linear relationship exists between heart rate and oxygen consumption during exercise. Monitoring heart rate provides a noninvasive and inexpensive alternative to calorimetry [18]. For clinical care, heart rate monitoring can provide useful feedback to the patient about relative level of effort while exercising, but it is not a useful approach to estimating energy expenditure in the individual patient.

Accelerometry uses a small portable device to record motion in one or more planes; it provides a measure of the frequency, duration, and intensity of physical activity [19,20]. Validity studies have yielded moderate to strong correlations between accelerometer data and oxygen consumption and activity energy expenditure in adults and children [21,22]. This technique is safe and practical for use in children but has not been applied in the clinical setting.

The combination of accelerometry and heart rate monitoring generally gives more accurate and precise estimates of energy expenditure than either method alone [23].

Activity factors used in prediction equations

Metabolic equivalents (METs) – The energy cost of various physical activities can be expressed as METs, which are multiples of the BMR and vary by age group (table 2) [24]. METs are used with activity logs to estimate the energy spent during various activities.

By convention, 1 MET is defined as an oxygen uptake of 3.5 mL/kg/min, or 1 kcal/kg/h in adults, a value derived for a 70-kg man aged 40 years [25]. The conventional MET value is not applicable to children and adolescents [26,27]. Instead, measured or predicted BMR values should be used to appropriately adjust for individual differences in body size. In addition, energy cost is affected not only by age and size but also level of training and presence or absence of obesity [28,29].

A Youth Compendium of Physical Activities provides the appropriate adjustments by listing the energy costs of 196 activities classified by MET equivalents [24]. The values are derived from oxygen consumption data in children and adolescents while exercising. The Compendium is a valuable resource for those interested in designing and implementing physical activity programs in youth. An adult Compendium of Physical Activities is also available [30]. In children 8 to 18 years of age, age- and puberty-adjusted METs are generally lower than the adult compendium MET values for sedentary and moderate activities but are more varied for high-intensity activities [31].

Physical activity levels (PALs) – The PAL is used to categorize an individual's habitual daily activity level. For research, the average PAL over a 10- to 14-day period was estimated by measuring TEE using the DLW method, together with an estimate of BEE, where: PAL = TEE/BMR. More generally, the activity level can be estimated by recording an activity diary and calculating the PAL by applying the youth MET (METy) to the time spent in each activity. Unappreciated in past National Academy of Medicine recommendations, PALs increase sharply throughout childhood, necessitating age-specific PAL categories (table 3).

The National Academy of Medicine defined the following PAL categories for healthy children [10]:

Inactive – This category reflects a level of TEE covering basal metabolism, TEF, and a minimal level of physical activity required for independent living.

Low active – This category corresponds to a level of physical activity beyond the minimal, involving more ambulation and some occupational and recreational activities. As an example, for a five-year-old child, this category would be reached by walking at 2.5 miles/hour for a total of approximately 60 minutes daily. Walking time to reach this category is similar for older age and sex groups, with minor differences by age and sex.

Active – This category involves even more ambulation and occupational or recreational activities. For a five-year-old child, this category would be reached by walking at 2.5 miles/hour for a total of approximately 90 minutes daily. For a 16-year-old, this category would be reached by walking at this pace for approximately 120 minutes daily, with minor differences by sex.

Very active – This category reflects not only the demands of daily living but also vigorous exertion in occupational or recreational activities. For a five-year-old child, this category would be reached by walking at 2.5 miles/hour for a total of approximately 150 minutes daily. For a 16-year-old, this category can be reached by walking at this pace for a total of approximately 210 minutes daily, with minor differences by sex.

Rather than prolonged walking, the active or very active categories are usually reached by participation in moderate to vigorous activities [10]. The relative energy expenditure of various activities are indicated by the METy values in the table (table 2). As examples:

A five-year-old child could reach the active category by playing soccer for 60 minutes/day or swimming for 45 minutes/day. They could reach the very active category by playing soccer for 100 minutes/day or swimming for 75 minutes/day.

A 16-year-old could reach the active category by playing soccer for 45 minutes/day or swimming for 40 minutes/day. They could reach the very active category by playing soccer for 80 minutes/day or swimming for 75 minutes/day.

The energy expenditure for these activities also varies somewhat by sex and level of exertion. Under most circumstances, these times are accumulated in multiple episodes of activity including walking and running throughout the day.

Other predictors — Other factors influence the energy cost of physical activity but are not consistently captured in prediction equations. These include the person's age, size, level of training, and presence or absence of obesity [28,29]:

Obese individuals have higher energy expenditure than do their lean counterparts in absolute terms. However, obese individuals typically have similar rates when corrected for body size and body composition [4,32].

Energy requirements per kilogram of body weight vary indirectly with age and size at any given walking or running speed [29].

Training can decrease the energy cost of running.

Thermic effect of food — The TEF refers to the energy utilized during ingestion, digestion, and metabolism of food. The TEF varies with the macronutrient composition of the meal and is approximately 10 percent of the energy content of a mixed diet (ie, 10 percent of the EER) [33]. Specifically, the TEF increments are 5 to 10 percent for carbohydrate, 0 to 5 percent for fat, and 20 to 30 percent for protein. Thus, an animal-based, high-protein diet tends to have higher TEF than a lower-protein diet (eg, some vegetarian diets). However, regardless of the diet, the TEF remains small in proportion to other components of energy expenditure.

Energy cost of growth — The energy cost of growth consists of: (1) the energy deposited (stored) in newly accrued tissues, and (2) the energy expended for tissue synthesis. Except during the first months of life, the energy required for growth is small. The synthesis cost of growth is included in TEE, as measured by the DLW method. For children, the energy deposition is approximately 15 kcal/day, increasing to 30 kcal/day at peak growth velocity for adolescents [10]. Thus, energy deposition represents 1 to 2 percent of total energy requirements between early childhood and mid-adolescence [33].

The amount of energy stored in body tissue depends on the composition of the tissue synthesized:

For fat, the energy stored is 9.25 kcal/g (0.039 MJ/g)

For protein, the energy stored is 5.65 kcal/g (0.024 MJ/g)

During adolescence, the energy cost of growth is greater in males compared with females. This is related to the sex-related changes in body composition that occur during puberty. As an example, between age 10 and 18, males typically accumulate fat-free mass (approximately 30 kg increase), while fat mass declines from 16 to 13 percent of body weight. Conversely, girls accumulate fat mass, rising from approximately 23.5 to 25 percent of body weight [34].

Because the energy cost of growth is a small component of total energy requirements, these sex-related differences in growth have minimal direct impact on total energy requirements. However, the resultant changes in body size and composition are still important contributors to divergent total energy requirements because of their effect on BEE and energy costs of moving body mass during physical activity. (See 'Basal energy expenditure' above.)

In the National Academy of Medicine recommendations for daily energy intake of children and adolescents [10], the energy costs of growth for males and females were computed from rates of weight gain of children enrolled in the Fels Longitudinal Study and rates of protein and fat deposition for children and adolescents.

ENERGY REQUIREMENTS

Estimated energy requirements — The National Academy of Medicine published estimated energy requirements (EERs) for children and adolescents, as outlined in the table (table 4) [10].

EER represents the average requirement for a child of a given sex, age, height, and weight. Although these are useful general estimates, marked variability exists in the energy requirements of individuals, particularly during adolescence because of variation in growth rates, pubertal timing, and physical activity levels (PALs) [35]. The extent of variability of the EER can be estimated from the published standard errors.

These EERs also are stratified by the habitual PAL, which is expressed as a multiple of the basal metabolic rate (BMR) (see 'Activity factors used in prediction equations' above). Although the recommendations allow for four categories of PAL (inactive, low active, active, and very active), the active or very active levels are encouraged for all healthy children (ie, at least 60 minutes of physical activity on most, preferably all, days of the week) [36].

Prediction equations — Prediction equations for the EERs of children and adolescents are provided in the table (table 5) and calculators (females (calculator 1); males (calculator 2)).

These equations were developed by the National Academy of Medicine for children as a function of age, sex, height, weight, and PAL [10]. The estimates are based on total energy expenditure (TEE), as measured by the doubly labeled water (DLW) method, plus an average of 15 to 30 kcal/day for the energy cost of growth based on average rates of weight gains and rates of protein and fat deposition for children and adolescents, respectively.

The testing of separate prediction TEE equations for children with overweight or obesity did not reveal statistically significant differences from the prediction equations for children with healthy body weight. Therefore, the equations in the above table apply to all children and adolescents.

Prediction equations are also available to estimate TEE [10]. However, for clinical purposes, EER provides a more relevant target for energy intake. If needed, TEE can be calculated from EER as follows (see 'Components of energy needs' above):

TEE = EER – Energy stored

In this equation, the energy stored refers to the energy deposited in newly synthesized tissues, which is the primary component of the energy cost of growth. To achieve weight loss, a reduction in dietary energy intake and/or an increase in physical activity can be prescribed, using the predicted TEE as the starting point.

SOCIETY GUIDELINE LINKS — Links to society and government-sponsored guidelines from selected countries and regions around the world are provided separately. (See "Society guideline links: Healthy diet in children and adolescents".)

SUMMARY AND RECOMMENDATIONS

Determinants of energy needs – Energy needs in children and adolescents depend primarily on basal energy expenditure (BEE) and physical activity (figure 1); the components are (see 'Determinants of energy needs' above):

Basal metabolic rate (BMR) – This is the largest component (approximately 45 to 70 percent of total energy requirements) and is strongly influenced by body composition (fat-free mass). The BMR can be estimated from the Schofield prediction equations, which are based on age, sex, and body weight (table 1). (See 'Basal energy expenditure' above.)

Physical activity – The energy expended in physical activity accounts for approximately 30 percent of total energy expenditure (TEE) and varies substantially among individuals. The energy expenditure for specific physical activities is determined by the intensity of effort and also varies with age, size, level of training, and presence or absence of obesity. (See 'Energy expended for physical activity' above.)

Typical energy expenditure during some recreational activities is shown in the table, expressed as "youth metabolic equivalents" (METy), which are expressed as multiples of the BMR and vary by age group (table 2). An individual's habitual level of physical activity is expressed as the "physical activity level" (PAL), defined as TEE/BMR. (See 'Activity factors used in prediction equations' above.)

Thermic effect of food (TEF) – This accounts for approximately 10 percent of the energy content of a mixed meal in healthy individuals. (See 'Thermic effect of food' above.)

Energy cost of growth – This represents approximately 1 to 2 percent of total energy requirements between early childhood and mid-adolescence. (See 'Energy cost of growth' above.)

Estimated energy requirement (EER) – EERs of children and adolescents are based on the sum of the above components, taking into account habitual PAL and energy cost of growth (table 4). Although recommendations for energy intake recognize a range of PALs, the active or very active levels of physical activity are encouraged for all healthy children. (See 'Energy requirements' above.)

Prediction equations – Equations provide estimates of the energy needs for an individual, based on age, sex, height, weight, and PAL. The prediction equations may be used for all children and adolescents to predict EER (table 5) (females (calculator 1); males (calculator 2)). (See 'Prediction equations' above.)

  1. CDC Growth Charts: United States. Centers for Disease Control and Prevention; US Department of Health and Human Services.
  2. Butte NF, Wong WW, Garza C. Energy cost of growth during infancy. Proc Nutr Soc 1989; 48:303.
  3. International Dietary Energy Consulting Group. The doubly-labeled water method for measuring energy expenditure: Technical recommendations for use in humans. In: NAHRES-4, Prentice AM (Ed), International Atomic Energy Agency, 1990.
  4. Schoeller DA. Recent advances from application of doubly labeled water to measurement of human energy expenditure. J Nutr 1999; 129:1765.
  5. Holliday MA. Metabolic rate and organ size during growth from infancy to maturity and during late gastation and early infancy. Pediatrics 1971; 47:Suppl 2:169+.
  6. Energy. J Pediatr Gastroenterol Nutr 2005; 41:s5.
  7. McArdle WD, Katch FI, Katch VL. Essentials of exercise physiology, 3rd ed, Lippincott Williams & Wilkins, Baltimore, MD 2006. p.266.
  8. Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 1985; 39 Suppl 1:5.
  9. Schofield C. An annotated bibliography of source material for basal metabolic rate data. Hum Nutr Clin Nutr 1985; 39 Suppl 1:42.
  10. National Academy of Medicine. Dietary Reference Intakes for Energy. 2023. Available at: https://nap.nationalacademies.org/catalog/26818/dietary-reference-intakes-for-energy (Accessed on October 23, 2023).
  11. Piercy KL, Troiano RP, Ballard RM, et al. The Physical Activity Guidelines for Americans. JAMA 2018; 320:2020.
  12. Li K, Haynie D, Lipsky L, et al. Changes in Moderate-to-Vigorous Physical Activity Among Older Adolescents. Pediatrics 2016; 138.
  13. Evenson KR, Wen F, Hales D, Herring AH. National youth sedentary behavior and physical activity daily patterns using latent class analysis applied to accelerometry. Int J Behav Nutr Phys Act 2016; 13:55.
  14. Porter AK, Matthews KJ, Salvo D, Kohl HW 3rd. Associations of Physical Activity, Sedentary Time, and Screen Time With Cardiovascular Fitness in United States Adolescents: Results From the NHANES National Youth Fitness Survey. J Phys Act Health 2017; 14:506.
  15. Kenney EL, Gortmaker SL. United States Adolescents' Television, Computer, Videogame, Smartphone, and Tablet Use: Associations with Sugary Drinks, Sleep, Physical Activity, and Obesity. J Pediatr 2017; 182:144.
  16. Katzmarzyk PT, Denstel KD, Beals K, et al. Results From the United States of America's 2016 Report Card on Physical Activity for Children and Youth. J Phys Act Health 2016; 13:S307.
  17. Mtaweh H, Tuira L, Floh AA, Parshuram CS. Indirect Calorimetry: History, Technology, and Application. Front Pediatr 2018; 6:257.
  18. Treuth MS, Adolph AL, Butte NF. Energy expenditure in children predicted from heart rate and activity calibrated against respiration calorimetry. Am J Physiol 1998; 275:E12.
  19. Chen KY, Bassett DR Jr. The technology of accelerometry-based activity monitors: current and future. Med Sci Sports Exerc 2005; 37:S490.
  20. Corder K, Ekelund U, Steele RM, et al. Assessment of physical activity in youth. J Appl Physiol (1985) 2008; 105:977.
  21. Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc 2005; 37:S531.
  22. Lee JM, Kim Y, Welk GJ. Validity of consumer-based physical activity monitors. Med Sci Sports Exerc 2014; 46:1840.
  23. Zakeri I, Adolph AL, Puyau MR, et al. Application of cross-sectional time series modeling for the prediction of energy expenditure from heart rate and accelerometry. J Appl Physiol (1985) 2008; 104:1665.
  24. Butte NF, Watson KB, Ridley K, et al. A Youth Compendium of Physical Activities: Activity Codes and Metabolic Intensities. Med Sci Sports Exerc 2018; 50:246.
  25. Byrne NM, Hills AP, Hunter GR, et al. Metabolic equivalent: one size does not fit all. J Appl Physiol (1985) 2005; 99:1112.
  26. Ainsworth BE, Haskell WL, Leon AS, et al. Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc 1993; 25:71.
  27. Puyau MR, Adolph AL, Vohra FA, Butte NF. Validation and calibration of physical activity monitors in children. Obes Res 2002; 10:150.
  28. Wong WW, Butte NF, Ellis KJ, et al. Pubertal African-American girls expend less energy at rest and during physical activity than Caucasian girls. J Clin Endocrinol Metab 1999; 84:906.
  29. Bar-Or O. Childhood and adolescent physical activity and fitness and adult risk profile. In: Physical Activity, Fitness, and Health. International Proceedings and Consensus Statement, Bouchard C, Shephard RJ, Stephens T (Eds), Human Kinetics Publishers, Champaign 1994. p.931.
  30. Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000; 32:S498.
  31. Harrell JS, McMurray RG, Baggett CD, et al. Energy costs of physical activities in children and adolescents. Med Sci Sports Exerc 2005; 37:329.
  32. Butte NF, Puyau MR, Vohra FA, et al. Body size, body composition, and metabolic profile explain higher energy expenditure in overweight children. J Nutr 2007; 137:2660.
  33. Food and Agriculture Organization of the United Nations. Human energy requirements: Report of a Joint FAO/WHO/UNU Expert Consultation. 2004. Available at: http://www.fao.org/3/y5686e/y5686e00.htm (Accessed on November 09, 2020).
  34. Haschke F. Body composition during adolescence. In: Body Composition Measurements in Infants and Children: Report of the 98th Ross Conference on Pediatric Research, Ross Laboratories, 1989. p.76.
  35. Zlotkin SH. A review of the Canadian "Nutrition recommendations update: dietary fat and children.". J Nutr 1996; 126:1022S.
  36. Brooks GA, Butte NF, Rand WM, et al. Chronicle of the Institute of Medicine physical activity recommendation: how a physical activity recommendation came to be among dietary recommendations. Am J Clin Nutr 2004; 79:921S.
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