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Anthropometric Measurement

Editor: John Kiel Updated: 9/26/2022 5:57:31 PM


Anthropometric measurements are noninvasive quantitative measurements of the body. According to the Centers for Disease Control and Prevention (CDC), anthropometry provides a valuable assessment of nutritional status in children and adults.[1] Typically they are used in the pediatric population to evaluate the general health status, nutritional adequacy, and the growth and developmental pattern of the child. Growth measurements and normal growth patterns are the gold standards by which clinicians assess the health and well-being of a child.[1] In adults, body measurements can help to assess health and dietary status and future disease risk. These measurements can also be used to determine body composition in adults to help determine underlying nutritional status and diagnose obesity.[2]

The core elements of anthropometry are height, weight, head circumference, body mass index (BMI), body circumferences to assess for adiposity (waist, hip, and limbs), and skinfold thickness. According to the American Academy of Pediatrics and the Child Health and Disability Prevention (CHDP) Program Health Assessment Guidelines (guideline #4), accurate serial anthropometric measurements can help identify underlying medical, nutritional, or social problems in children. Abnormal anthropometric measurements, especially in the pediatric population, warrant further evaluation. Anthropometric measurements can also assess body composition in athletes; this has been shown to optimize the competitive performance of athletes and to help identify underlying medical problems, such as eating disorders. Anthropometry-driven fitness programs in athletes have been shown to improve cardiorespiratory fitness and strength.[3] Anthropometric measurements are also used to assess nutritional status in pregnant women and to assess patients with obesity.[4]


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The Child Health and Disability Prevention (CHDP) Program Health Assessment Guidelines (guideline #4) recommend anthropometric measurements in all children and adolescents at each preventive visit to ensure adequate growth patterns and to assess the risk of obesity. Accurate serial measurements over time are the most important aspect of anthropometry. Solitary deviations from a growth pattern curve can be a normal variant or due to an acute illness. However, according to the CHDP guidelines, steady change of the growth curve on serial measurements is a reliable indicator of an abnormal growth pattern and warrants further workup. For infants and toddlers less than two years of age, weight, length, and head circumference are indicated anthropometric measurements at each well-visit. For children greater than two years of age, indicated measurements include weight and length. Body Mass Index (BMI) measurement is recommended for all children two years and older to determine adequate nutritional status and risk of obesity. These measurements should be plotted on World Health Organization (WHO) charts or the CDC charts, which are gender and age-specific to compare the child to the average population. 

In adults, anthropometric measurements are recommended at each well-visit to determine nutritional status and the risk of future disease. 


Anthropometric measurements are noninvasive and, as such, do not have any contraindications for their use. There are situations in which the measurements might give inaccurate results (such as acute illness) or be impossible to measure (such as a limb deformity or casting). Using anthropometric measurement in such situations can give falsely reassuring or alarming data and should be avoided. 


Reliable and reproducible measurements are required to obtain meaningful data from anthropometric measurements. As such, clinicians should ensure the use of well-calibrated, quality equipment that is checked regularly for accuracy. Typical equipment list required to obtain anthropometric measurements includes:

  • Weight scale
  • Calibration weights
  • Stadiometer
  • Knee caliper
  • Skinfold calipers
  • Nonstretchable tape measure
  • Infantometer to measure the recumbent length

Technique or Treatment

Growth Charts

Isolated anthropometric measurements are not useful. The values obtained must be compared to relative standards for the appropriate population. The Centers for Disease Control and Prevention (CDC) charts are obtained from children raised in various nutritional conditions in the United States. The World Health Organization (WHO) charts outline the growth of healthy children under optimal nutritional and environmental conditions, providing a 'goal' standard for optimal growth.[5]

On the CDC charts, the normal growth pattern is identified as growth between 5th and 95th percentiles. The 85th to the 95th percentile is considered the overweight category or the at-risk group. The WHO charts are considered applicable to all children from birth to five years of age regardless of ethnicity, socioeconomic status, and type of feeding.[6] On WHO charts, the normal range is defined between two standard deviations above and below the mean or as z-scores between -2.0 and +2.0. This corresponds to a range between the 2nd and 98th percentiles. On the WHO charts, a BMI of +1 to +2 is considered the at-risk group for obesity. A comparison between the two charts showed that the WHO growth standards are less likely to classify a child as undernourished compared to the CDC charts.[7] This difference is thought to be due to the multinational data used to develop WHO charts, which included countries with a lower obesity rate than the US.[7]

It is essential to use the correct chart for the patient's age and gender when using growth charts. It is also important to remember that children with disorders that alter the growth pattern need specialized plots to obtain meaningful results. A number of specialized growth charts have been developed for children with Down syndrome, Turner syndrome, cerebral palsy, Williams syndrome, achondroplasia, Prader-Willi syndrome, and Rett syndrome, and should be used in place of standardized growth charts when indicated. 

The recommended technique for obtaining anthropometric measurements according to the CHDP Guideline #4 are outlined below. 

Head Circumference

For infants and toddlers less than two years of age, measure the largest circumference of the head using a non-stretchable measuring tape around the most prominent part of the head to the middle of the forehead. The tape measure should be pulled snug around the head to compress the hair and underlying soft tissue. Repeat the measurement twice to obtain two readings within 0.2 cm or 0.25 inches. The average of the two closest measurements should be recorded.

Recumbent Length

For infants and toddlers who cannot stand, the recumbent length should be measured. Align the infant's head against the top of the headboard of the infantometer. An assistant must straighten the infant's body and legs, ensuring the feet are parallel to the footboard. Repeat the measurement twice to obtain two readings within 0.2 cm or 0.25 inches. The average of the two closest measurements should be recorded. 


For children who can stand, a stadiometer should be used. The child should stand up straight, with buttocks, shoulder blades, and heels together touching the back of the stadiometer. The feet should face outward at a 60-degree angle. If the patient has genu valgum, separate the feet enough to avoid overlapping the knees while maintaining contact between the knees. Arms should be loosely hanging at the sides with palms facing the thighs. The horizontal bar of the stadiometer should be lowered until the hair is compressed to the crown of the head. Remove any objects on the head and hair that may obstruct the bar from compressing the hair to the crown of the head. The measurement should be read to the nearest 0.1 cm or 1/8 of an inch. Repeat the measurement twice to obtain two readings within 0.2 cm or 0.25 inches. The average of the two closest measurements should be recorded. 


For children less than two years of age, use a calibrated beam or a digital infant scale. Ensure the infant is not wearing any clothes and remove the diaper before measuring the weight. The weight should be measured to the nearest 0.01 kg or 0.5 ounces. For children older than 24 months, a balanced floor scale or electronic floor scale can be used.

Body Mass Index (BMI)

BMI is a calculation based on the height and weight of the child and is recommended by the CHDP guidelines for all children older than two years of age. The formulas for the calculation of BMI in children are as follows:

  • BMI = weight in pounds / [height in inches x height in inches] x 703
  • BMI = weight in kilograms / [height in meters x height in meters]

In adults, BMI is used to diagnose obesity as it correlates with body fat. However, it does not directly measure body fat and has its limitations when used in isolation. Percent body fat varies with age, gender, and ethnicity. Percent body fat increases with age even if the weight stays the same, making it a less accurate measure of obesity in adults. Also, in athletes, increased muscle mass for a given height and age will increase their BMI, even though they have a very low percentage of total body fat.


The American Academy of Pediatrics recommends the use of Z-scores to define malnutrition in children. This measurement uses standard deviations to determine the nutritional and developmental pattern of a child as compared to the average population. Z-scores are available for weight-for-height (WFH), weight-for-age (WFA), BMI for age, and head circumference measurements. Currently, z-score levels for classifying obesity in children are not well established. Consequently, they were not included in the CHDP guideline. 

Limb Measurements 

To measure upper leg length, have the patient seated with legs at a 90-degree angle. Then, run the measuring tape from the inguinal crease to the proximal aspect of the patella. To measure the upper arm length, find the superior edge of the spine of the scapula. Then, run the measuring tape down the center of the triceps to the olecranon. Immediately after measuring the upper arm length, the mid-point of the arm should be marked in preparation to measure the mid-upper arm circumference. The patient stands upright with the arm hanging freely at the side. The patient should not flex the arm muscles. Measuring tape should be placed snugly around the mid-point of the arm without compressing the skin.

Waist Circumference

To measure waist circumference, patients should stand with their arms crossed on the contralateral shoulders. The placement of the measuring tape should be snugly around the lateral aspect of each ilium at the mid-axillary line. It is an essential measure of anthropometry in adults and children as it directly measures central adiposity. Increasing central adiposity is associated with an increased risk of morbidity and mortality due to an increased risk of diabetes and heart disease.[2]

Skinfold Measurements

Common sites for skinfold measurements include the biceps, triceps, iliac crest, thigh, calf, subscapular, abdomen, and chest. The exact technique can vary, but we will discuss one method using the triceps as an example. For the triceps skinfold, grab the skin 2 cm above the midpoint of the right upper arm with the thumb and index finger to create a skinfold. Then, place the calipers at the midpoint to obtain the measurement. Similarly, at other sites, the skinfold measurement is obtained by grabbing the skin 2 cm away from the measuring site. Despite standard measuring techniques, skinfold testing has high variability and has limited use thus far in the clinical setting.


Errors in measurements are the only complications of anthropometric measurements. Evidence suggests that errors in weight and abdominal obesity measurements occur in higher proportions in the obese population.[8] This is possibly due to difficulty assessing bony landmarks in obese patients. Another common cause of measurement error is obtaining measurements in a non-uniform manner. Research shows that classical anthropometric measurements, including weight, height, and BMI calculation, are less prone to measurement error.[9] Head circumference measurement, waist circumference measurement, and head-to-waist ratios have higher variability and are prone to errors.[9] Moreover, measurement errors only slightly improve after training. Sebo et al. studied the variability of these measurements when performed by general practitioners and noted an improvement after short theoretical and practical training.[10] A comparison of the two studies also reveals that the experience of the practitioners does not improve or decrease the accuracy of these measurements.[9]

Clinical Significance

Anthropometric measurements have utility in assessing physical fitness data for a wide variety of the population, from children to elite athletes to the elderly. One study of Australian volleyball players revealed that anthropometric data improves with increases in playing level.[11] Another study used anthropometric measurements as a marker of physical fitness progress in women aged 60 to 100 years. They found that pilates combined with hydro-gymnastics decreased BMI, weight, and hip-to-waist measurements.[12] Obesity is a major modifiable risk factor of cardiovascular disease, stroke, diabetes mellitus, dyslipidemia, and hypertension. One of the best clinical utilities of anthropometric data is to define obesity. The best measurement to define obesity is not uniformly agreed upon, as is illustrated by one study which compared BMI, waist circumference, waist-to-hip ratio, and waist-to-height ratio. This study found that there is not adequate evidence to support one method of measurement over any other, but states BMI is the most logical choice given its historical use. The authors also demonstrated that elevations in anthropometric measurements led to a higher odds ratio of dyslipidemia, hypertension, and hyperglycemia.[13]

The lengths of extremities are related to chronic diseases as well. A literature review shows that those with a shorter upper leg length (ULL) have a higher prevalence of metabolic syndrome.[14] Similarly, shorter upper arm length has an association with a higher prevalence of diabetes in Japanese Americans.[15]

While anthropometric data in the adult population is helpful to define obesity, it is also used extensively in the pediatric population to determine nutritional status. By measuring the height for age, weight for age, and weight for height, over time, anthropometric measurements can help identify inadequate growth patterns that warrant further evaluation.[1]

Head circumference is another anthropometric measurement routinely used in children. This measurement is important to diagnose microcephaly, which has well-documented complications. BMI calculations and z-scores can help identify obesity and malnutrition in children, leading to early identification and treatment.[1]

Mid-upper arm circumference (MUAC) can help to define the severity of malnutrition. MUAC also has utility to assess nutritional status in the pregnant population as one study showed MUAC is the anthropometric measurement of choice in pregnancy.[4]

Although technology may eventually advance to replace anthropometry on some level, one study found that the anthropometric measures of waist and hip circumferences are superior to ultrasound to assess regional adiposity.[16] A study from Sweden showed the association of anthropometrics with chronic medical conditions, measuring anthropometric measurements relative to underlying conditions such as myocardial infarction, congestive heart failure, stroke, cognitive impairment, and dementia.[2] It noted that participants with myocardial infarctions had significantly higher weight, BMI, and waist-to-hip ratio, indicating a higher prevalence of subcutaneous and central adiposity. A high skinfold measurement was noted to be a strong indicator and/or predisposing risk factor for congestive heart failure in the study. Patients with cognitive impairment had a lower weight and with dementia were noted to have lower weight as well as lower skinfold measurements.[2] 

Enhancing Healthcare Team Outcomes

Anthropometric measurements are noninvasive and easily obtained measurements with a wide range of utility in both pediatric and adult populations. In pediatric populations, it is an essential tool to detect metabolic and developmental abnormalities early on so that they may be addressed efficiently. In the adult population, they can be used to diagnose the severity of illnesses such as obesity and cognitive impairments and help follow patients over time to assess for improvement after treatment. Although an inherent measurement error exists, it can be minimized by using well-calibrated tools and training. To enhance long-term patient outcomes, an interprofessional team consisting of nurses, nurse practitioners, physician assistants, and clinicians should work together to consistently obtain reproducible results that apply to clinical settings. This will help identify at-risk individuals early and help clinicians promote a healthy lifestyle for at-risk patients to avoid the well-documented adverse effects of obesity and malnutrition.[Level 5]



Fryar CD,Gu Q,Ogden CL,Flegal KM, Anthropometric Reference Data for Children and Adults: United States, 2011-2014. Vital and health statistics. Series 3, Analytical studies. 2016 Aug     [PubMed PMID: 28437242]


Gavriilidou NN,Pihlsgård M,Elmståhl S, Anthropometric reference data for elderly Swedes and its disease-related pattern. European journal of clinical nutrition. 2015 Sep     [PubMed PMID: 25990690]


Santos DA,Dawson JA,Matias CN,Rocha PM,Minderico CS,Allison DB,Sardinha LB,Silva AM, Reference values for body composition and anthropometric measurements in athletes. PloS one. 2014     [PubMed PMID: 24830292]


Ververs MT,Antierens A,Sackl A,Staderini N,Captier V, Which anthropometric indicators identify a pregnant woman as acutely malnourished and predict adverse birth outcomes in the humanitarian context? PLoS currents. 2013 Jun 7     [PubMed PMID: 23787989]


Lau JD, Elbaar L, Chao E, Zhong O, Yu CR, Tse R, Au L. Measuring overweight and obesity in Chinese American children using US, international and ethnic-specific growth charts. Public health nutrition. 2020 Oct:23(15):2663-2670. doi: 10.1017/S1368980020000919. Epub 2020 Jul 2     [PubMed PMID: 32611456]


Bergerat M, Heude B, Taine M, Nguyen The Tich S, Werner A, Frandji B, Blauwblomme T, Sumanaru D, Charles MA, Chalumeau M, Scherdel P. Head circumference from birth to five years in France: New national reference charts and comparison to WHO standards. The Lancet regional health. Europe. 2021 Jun:5():100114. doi: 10.1016/j.lanepe.2021.100114. Epub 2021 May 5     [PubMed PMID: 34557823]


Mei Z, Ogden CL, Flegal KM, Grummer-Strawn LM. Comparison of the prevalence of shortness, underweight, and overweight among US children aged 0 to 59 months by using the CDC 2000 and the WHO 2006 growth charts. The Journal of pediatrics. 2008 Nov:153(5):622-8. doi: 10.1016/j.jpeds.2008.05.048. Epub 2008 Jul 10     [PubMed PMID: 18619613]


Sebo P,Herrmann FR,Haller DM, Accuracy of anthropometric measurements by general practitioners in overweight and obese patients. BMC obesity. 2017     [PubMed PMID: 28680647]


Sebo P,Haller D,Pechère-Bertschi A,Bovier P,Herrmann F, Accuracy of doctors' anthropometric measurements in general practice. Swiss medical weekly. 2015     [PubMed PMID: 25701670]

Level 2 (mid-level) evidence


Sebo P,Beer-Borst S,Haller DM,Bovier PA, Reliability of doctors' anthropometric measurements to detect obesity. Preventive medicine. 2008 Oct     [PubMed PMID: 18619998]

Level 1 (high-level) evidence


Gabbett T,Georgieff B, Physiological and anthropometric characteristics of Australian junior national, state, and novice volleyball players. Journal of strength and conditioning research. 2007 Aug     [PubMed PMID: 17685708]


Vasconcelos AP,Cardozo DC,Lucchetti AL,Lucchetti G, Comparison of the effect of different modalities of physical exercise on functionality and anthropometric measurements in community-dwelling older women. Journal of bodywork and movement therapies. 2016 Oct     [PubMed PMID: 27814866]


Kidy FF,Dhalwani N,Harrington DM,Gray LJ,Bodicoat DH,Webb D,Davies MJ,Khunti K, Associations Between Anthropometric Measurements and Cardiometabolic Risk Factors in White European and South Asian Adults in the United Kingdom. Mayo Clinic proceedings. 2017 Jun     [PubMed PMID: 28578782]


Pryzbek M,Liu J, Association between upper leg length and metabolic syndrome among US elderly participants-results from the NHANES (2009-2010). Journal of geriatric cardiology : JGC. 2016 Jan     [PubMed PMID: 26918014]


Smits MM,Boyko EJ,Utzschneider KM,Leonetti DL,McNeely MJ,Suvag S,Wright LA,Fujimoto WY,Kahn SE, Arm length is associated with type 2 diabetes mellitus in Japanese-Americans. Diabetologia. 2012 Jun     [PubMed PMID: 22361981]

Level 2 (mid-level) evidence


Hiremath R,Ibrahim J,Prasanthi K,Reddy HT,Shah RS,Haritha C, Comparative Study of Ultrasonographic and Anthropometric Measurements of Regional Adiposity in Metabolic Syndrome. Journal of clinical and diagnostic research : JCDR. 2017 Aug     [PubMed PMID: 28969236]

Level 2 (mid-level) evidence