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PubMed2000

Usefulness of anthropometry and DXA in predicting intra-abdominal fat in obese men and women.

OBJECTIVE: To investigate the usefulness of anthropometry and DXA in predicting intra-abdominal fat (IAF) in obese men and women. RESEARCH METHODS AND PROCEDURES: Observational, cross sectional study of 22 women and 18 men with a body mass index of 30 or above. IAF from 20 cm above and 10 cm below the L4 to L5 intervertebral disc was measured by magnetic resonance imaging (MRI) as a reference method. Central abdominal fat was measured from the upper border of L2 to the lower border of L4 by DXA. Waist and hip circumferences were also measured. RESULTS: In obese women DXA, waist circumference and waist-hip ratio were equally well correlated with IAF (r = 0.74, 0.75, and 0.70, respectively). In obese men DXA was moderately correlated with IAF measured by MRI (r = 0.46), whereas waist circumference and waist-hip ratio were not significantly correlated with IAF. DISCUSSION: The prediction of IAF in obese subjects was highly dependent on sex more than in non-obese persons. Anthropometry and DXA were equally useful in obese women, whereas anthropometry had no predictive power and DXA was the only acceptable predictor of IAF in obese men.

Abdomen↗
PubMed2004

Fetal growth is directly related to maternal anthropometry and placental volume.

OBJECTIVE: To describe the influence of maternal weight and weight gain, placental volume and the rate of placental growth in early pregnancy on fetal dimensions measured sonographically. DESIGN: In a prospective study, 712 women were recruited from the antenatal clinic of the University Hospital of the West Indies. Data analysis was confined to 374 women on whom measurements of the placental volume at 14, 17 and 20 weeks gestation were complete. Measurements of maternal anthropometry and fetal size (by ultrasound) were performed. Weight gain in pregnancy between the first antenatal visit (8-10 weeks) and 20 weeks gestation, and the rate of growth of the placenta between 14-17 and 17-20 weeks gestation were calculated. MAIN OUTCOME MEASURES: Fetal anthropometry (abdominal and head circumferences, femoral length, and biparietal diameter) at 35 weeks gestation. RESULTS: Lower maternal weight at the first antenatal visit was associated with a significantly smaller placental volume at 17 and 20 weeks gestation (P<0.002 and <0.0001 respectively). In all women, maternal weight gain was directly related to fetal anthropometry. Placental volume at 14 weeks gestation and the rate of growth of the placenta between 17 and 20 weeks gestation were significantly related to all four fetal measurements. CONCLUSION: This study has provided evidence that both placental volume, and the rate of placental growth may influence fetal size. These effects are evident in the first half of pregnancy, and appear to be mediated through maternal weight and weight gain.

Adult↗
PubMed2006

Crossvalidation of anthropometry against magnetic resonance imaging for the assessment of visceral and subcutaneous adipose tissue in children.

BACKGROUND: The study of the relationship between anthropometry and visceral adipose tissue (VAT) is of great interest because VAT is associated with many risk factors for noncommunicable diseases and anthropometry is easy to perform in clinical practice. The studies hitherto available for children have, however, been performed on small sample sizes. DESIGN: Pooling of the data of studies published from 1992 to 2004 as indexed on Medline. AIMS: To assess the relationship between anthropometry and VAT and subcutaneous adipose tissue (SAT) as measured by magnetic resonance imaging (MRI) in children and to analyze the effect of age, gender, pubertal status and ethnicity. SUBJECTS AND METHODS: Eligible subjects were 7-16 year-old, with availability of VAT and SAT, gender, ethnicity, body mass index (BMI) and waist circumference (WC). A total of 497 subjects were collected from seven different investigators and 407 of them (178 Caucasians and 229 Hispanics) were analyzed. RESULTS: Despite ethnic differences in MRI data, BMI, WC and age, no difference in VAT was found between Caucasians and Hispanics after correction for SAT and BMI. Univariate regression analysis identified WC as the best single predictor of VAT (64.8% of variance) and BMI of SAT (88.9% of variance). The contribution of ethnicity and gender to the unexplained variance of the VAT-WC relationship was low (< or =3%) but significant (P < or =0.002). The different laboratories explained a low (< or =4.8%) but significant (P < 0.0001) portion of the unexplained variance of the VAT-WC and SAT-BMI relationships. Prediction equations for VAT (VAT (cm(2)) = 1.1 x WC (cm)-52.9) and SAT (SAT (cm(2)) = 23.2 x BMI (kg/m(2))-329) were developed on a randomly chosen half of the population and crossvalidated in the remaining half. The pure error of the estimate was 13 cm(2) for VAT and 57 cm(2) for SAT. CONCLUSIONS: WC can be considered a good predictor of VAT as well as BMI of SAT. The importance of ethnicity and gender on VAT estimation is not negligible.

Adipose Tissue↗
PubMed1990

Validity of surface anthropometry to estimate upper-arm muscularity, including changes with body mass loss.

The differences among fatfold thicknesses, girths, and muscle plus bone cross-sectional area (M+B CSA) were examined at three sites along the upper arm (distal, mid, and proximal) by using surface anthropometry (study 1, n = 40) and x ray (study 2, n = 53). Changes in anthropometry and x ray were also evaluated in nine obese patients who reduced body mass by less than or equal to 20.5 kg over 32 wk. Weight reduction resulted in nonproportional changes at the three sites, including significant differences in M+B CSA. Thus, it would not be valid to consider the arm as a geometric cylinder. Although a one-time assessment of upper arm M+B CSA with surface anthropometry may be valid at any of the three sites, changes in M+B CSA measured at any site may result in an under- or overestimation of actual changes in M+B CSA.

Adipose Tissue↗
PubMed1991

Measurement of body fat in elderly subjects by dual-energy x-ray absorptiometry, bioelectrical impedance, and anthropometry.

Body fat was measured in 46 elderly subjects by dual-energy x-ray absorptiometry [BF(DEXA)], bioelectrical impedance analysis (BIA), and anthropometry. Equations for prediction of the body fat (by DEXA) of elderly people by BIA and/or anthropometry were developed. The prediction of body fat (by DEXA) by anthropometric variables alone gave an r2 of 0.94 and the corresponding SEEs were 1.61 kg for men and 2.43 kg for women. When BIA variables were added as predictors, r2 increased by 2-5% (P less than 0.05) and the corresponding SEE decreased by 25% (P less than 0.05). The prediction of body fat (by DEXA) in elderly subjects and by BIA or anthropometry with equations developed in populations of young healthy adults (adapted from the literature) was generally not good although the correlation coefficients were high (r greater than 0.9, P less than 0.001), which suggests that our equations may improve prediction of body fat in elderly subjects.

Absorptiometry, Photon↗
PubMed1994

Child anthropometry and mortality in Malawi: testing for effect modification by age and length of follow-up and confounding by socioeconomic factors.

As shown in a review of 28 studies, anthropometric measurements of preschool-aged children are consistently related to the risk of subsequent mortality in community-based studies from Asia and Africa (Pelletier 1994). Although the results are consistent at this general level, a number of important questions remain concerning the relationship. The purpose of this study is to address two of these questions using data from a similar study conducted in rural northern Malawi: 1) In relation to screening, are the anthropometry-mortality relationships affected by the child's age and the interval between measurement and death ("length of follow-up") and 2) In relation to policy implications, is the anthropometry-mortality relationship due to confounding by socioeconomic factors, especially when considering mild-to-moderate malnutrition. The results reveal that mortality prediction is significantly affected by child's age and length of follow-up, but the strength and direction of this effect modification varies across the four commonly used anthropometric indicators [weight-for-age (WA), height-for-age (HA), weight-for-height (WH) and arm circumference-for-age (ACA)]. An important result for public health practice is that there are no statistically significant differences in prediction across these four indicators when applied to young children (6-23 mo) and employing a 1-y follow-up period. As regards confounding, the results indicate that the anthropometry-mortality relationship is not due to confounding by socioeconomic factors when all grades of malnutrition are considered. When only mild-to-moderate malnutrition is considered, statistically controlling for confounders reduces most of the anthropometric predictors to nonsignificance (probability values to > 0.20), but the strength of the association (odds ratio) remains of the same order of magnitude. However, when effect modification by child's age and length of follow-up is taken into account, the effect of mild-to-moderate malnutrition (WA and WH) remains statistically significant for young children dying with 1 y of follow-up.

Age Factors↗
PubMed2000

Anthropometry in relation to prostate cancer risk in the Netherlands Cohort Study.

In the Netherlands Cohort Study, the authors investigated whether anthropometry is associated with prostate cancer risk. At baseline in 1986, 58,279 men aged 55-69 years completed a self-administered questionnaire on diet, anthropometry, and other risk factors for cancer. After 6.3 years of follow-up, 681 cases were available with complete data on height and weight at baseline, and for 523 cases, there were data for weight at age 20 years. In both age-adjusted and multivariate case-cohort analyses (adjusted for age, family history of prostate cancer, and socioeconomic status), height, body mass index (BMI; kg/m2), and lean body mass (kg) at baseline were not associated with prostate cancer risk. The rate ratios of prostate cancer for men with a BMI at age 20 of less than 19, 19-20.9, 21-22.9, 23-24.9, and 25 or greater were 1.00 (reference), 1.06, 1.09, 1.39, and 1.33, respectively (p for trend = 0.02). For gain in BMI from age 20 years to age of the cohort at baseline, an inverse trend in risk was found (p for trend = 0.01), which did not persist after additional adjustment for BMI at age 20 (p for trend = 0.07). In subgroup analyses, no clear associations between anthropometry and advanced prostate cancer were found. Our findings suggest that body composition in young adulthood may already exert an effect on later risk of prostate cancer.

Age Factors↗
PubMed2000

Clinical anthropometry and canons of the face in historical perspective.

Measurements of the human face as part of the body have been performed since the Greek era, and many aspects of ancient measurements can be found in modern clinical anthropometry. A historical appraisal of the use of facial measurements is presented. The influence on modern facial anthropometry of Greek proportion sciences, the golden proportion, canons of important Renaissance artists, physical anthropology, and cephalometry are discussed. The main difference between human measurements in classic times and modern anthropometry is the denial of realistic sizes and proportions in former times. Human forms and canons were depicted in a way the artist or scientist preferred, rather than how they objectively were. For reconstructive and cosmetic surgery, realistic sizes and proportions are assessed using anthropometric techniques and used as guidelines to correct deformities or disproportions.

Anthropometry↗
PubMed1998

Quantitative anthropometry of the subatlantal cervical longitudinal ligaments.

STUDY DESIGN: The quantitative anthropometry of the cervical longitudinal ligaments was determined in 20 human cadaveric subatlantal cervical spines at the limits of flexion and extension. OBJECTIVES: To provide measurements of cervical anterior and posterior longitudinal ligament lengths, widths, and cross-sectional areas at segmental levels. SUMMARY OF BACKGROUND DATA: Although mathematical models of the cervical spine require specific data to predict kinematics, the anthropometry of the cervical spine has not been examined in detail. The dimensional changes of ligaments in physiologic motion are not well characterized. METHODS: Segmental lengths and widths of the cervical longitudinal ligaments were measured in sagittal plane flexion and extension, using a three-dimensional electromagnetic digitizer. The cross-sectional areas of the ligaments at resting length were measured with a laser micrometer system. Comparisons between anterior and posterior location and among segmental levels were made. Several ligaments were examined histologically to determine the insertion sites and, thus, to define the segmental length. RESULTS: The anterior longitudinal ligaments were shorter in flexion than in extension. In extension, they were longer than the posterior longitudinal ligaments in flexion. The resting isolated ligaments were longer than the longest in situ lengths at several vertebral levels. The anterior longitudinal ligaments were wider at the disc than at the body. The cross-sectional area at C2-C3 was smaller than at subaxial levels. The longitudinal ligaments were observed to insert along the entire underlying vertebral body. CONCLUSIONS: The quantitative anthropometry of the cervical longitudinal ligaments is important in the development of accurate mathematical models of the cervical spine. The in situ ligaments may not be under tension in the physiologic range of motion.

Aged↗
PubMed1993

The role of anthropometry in the assessment of malnutrition in the hospitalized frail elderly.

Although common among the hospitalized frail elderly, malnutrition is often unrecognized by clinicians, and its identification is fought with difficulty due to inadequate nutritional assessment methods and standards. This study compared the use of percent ideal body weight (%IBW) and anthropometry in the assessment of malnutrition in the hospitalized frail elderly. Approximaty 45% of patients studied had at least two anthropometric measurements below the 5th percentile, a level reflecting severe malnutrition. However, only 28% of patients were found to be less than 90% IBW, a level reflecting only mild to severe changes in body weight. Serum albumin was below normal (< 35 g/l) in 30% of patients. The total lymphocyte count was below normal (< 1,500 cells/mm3) in 53%, and was severely depressed (< 800 cells/mm3) in 24%. Thus, despite the use of stringent anthropometric criteria indicating severe malnutrition, anthropometry appeared more sensitive than %IBW as a measure of malnutrition in the hospitalized frail elderly. Furthermore, acute illness causes changes in commonly employed blood measures which make them unreliable in the assessment of malnutrition in this population. Anthropometry may prove to be the most stable, easily performed, and sensitive measure of malnutrition in the hospitalized frail elderly. However, further studies are clearly needed, including the development of appropriate anthropometric reference standards for the very old, a population that commonly suffers malnutrition.

Aged↗
PubMed2006

Evaluation of arm anthropometry for assessing pediatric body composition: evidence from healthy and sick children.

Arm anthropometry is used as a proxy of body composition in clinical and field research but its validity has not been established in children. To address this issue, mid-upper arm circumference (MUAC) and triceps skinfold thickness (TS) were measured in 110 healthy children aged 4.4-13.9 y (55 boys) and 49 cystic fibrosis (CF) patients aged 8.1-13.4 y (22 boys). Reference values were arm and whole-body fat mass (FM) and fat-free mass (FFM) measured by dual x-ray absorptiometry and four-component model, respectively. Arm fat area (AFA), MUAC, and TS correlated well with arm FM (r = 0.84-0.92) and total FM (r = 0.78-0.92). Arm muscle area (AMA) and MUAC correlated well with arm FFM (r = 0.68-0.82) and total FFM (r = 0.60-0.86). After adjusting for age, sex, and height, arm anthropometry correlated strongly with FM but weakly with FFM. AFA, MUAC, and TS explained 67, 63, and 61% of variability in total FM in healthy children and 70, 72, and 63% in CF. AMA and MUAC explained only 24 and 16% of variability in total FFM in healthy children and 33 and 28% in CF. Arm anthropometry is useful for predicting FM and ranking healthy children and patients for fatness. It has poorer success in predicting regional or total FFM.

Absorptiometry, Photon↗
PubMed1997

Radiographic anthropometry in patients with multiple epiphyseal dysplasia.

OBJECTIVE: This study investigated the diagnostic value of radiographic anthropometry in patients with multiple epiphyseal dysplasia (MED). SUBJECTS AND METHODS: In 15 children of one family with MED (12 affected, three unaffected), all of whom were less than 16 years old, measurements were made of the distal femoral metaphysis and epiphysis on standard anteroposterior radiographs of the knee. In each individual, the height of the epiphysis was plotted against the width of both the epiphysis and the metaphysis. Sensitivity, specificity, and positive and negative predictive values were calculated. RESULTS: In 11 of 12 children with MED, the plotted values were more than 2 SDs below the mean. Sensitivity was 92%, specificity was 100%, and positive predictive value was 100%. CONCLUSION: Anthropometry is useful to detect involvement of a child in a family with MED. For this particular family, anthropometry had a high positive predictive value.

Adolescent↗
PubMed1999

Predicting composition of leg sections with anthropometry and bioelectrical impedance analysis, using magnetic resonance imaging as reference.

Magnetic resonance imaging (MRI) was used to evaluate and compare with anthropometry a fundamental bioelectrical impedance analysis (BIA) method for predicting muscle and adipose tissue composition in the lower limb. Healthy volunteers (eight men and eight women), aged 41 to 62 years, with mean (S.D.) body mass indices of 28.6 (5.4) kg/m2 and 25.1 (5.4) kg/m2 respectively, were subjected to MRI leg scans, from which 20-cm sections of thigh and 10-cm sections of lower leg (calf) were analysed for muscle and adipose tissue content, using specifically developed software. Muscle and adipose tissue were also predicted from anthropometric measurements of circumferences and skinfold thicknesses, and by use of fundamental BIA equations involving section impedance at 50 kHz and tissue-specific resistivities. Anthropometric assessments of circumferences, cross-sectional areas and volumes for total constituent tissues matched closely MRI estimates. Muscle volume was substantially overestimated (bias: thigh, -40%; calf, -18%) and adipose tissue underestimated (bias: thigh, 43%; calf, 8%) by anthropometry, in contrast to generally better predictions by the fundamental BIA approach for muscle (bias: thigh, -12%; calf, 5%) and adipose tissue (bias: thigh, 17%; calf, -28%). However, both methods demonstrated considerable individual variability (95% limits of agreement 20-77%). In general, there was similar reproducibility for anthropometric and fundamental BIA methods in the thigh (inter-observer residual coefficient of variation for muscle 3.5% versus 3.8%), but the latter was better in the calf (inter-observer residual coefficient of variation for muscle 8.2% versus 4.5%). This study suggests that the fundamental BIA method has advantages over anthropometry for measuring lower limb tissue composition in healthy individuals.

Adipose Tissue↗
PubMedDate not supplied

Prevalence of malnutrition assessed by bioimpedance analysis and anthropometry in children on peritoneal dialysis.

OBJECTIVE: To evaluate the sensitivity of anthropometry and bioelectrical impedance analysis (BIA) in detecting alterations in body composition of children treated with peritoneal dialysis (PD), and to determine the prevalence of malnutrition in this population, in short- and long-term PD duration, using anthropometric and BIA-derived indices. PATIENTS: Eighteen children treated with automated PD (11 males, 7 females; mean age 8.7 +/- 4.7 years). DESIGN: Eighteen patients were studied using anthropometry and BIA at the start (t0) and after 6 months (t1) of PD, 15 of these patients at 12 months (t2), and 8 at 24 months (t3) of PD. Midarm muscle circumference (MAMC), arm muscle area (AMA), and arm fat area (AFA) were calculated from anthropometric measures according to Frisancho (FrisanchoAR. New norms of upper limb fat and muscle areas for assessment of nutritional status. Am J Clin Nutr 1981; 34:2540-5.). The bioelectrical measures of resistance (R) and reactance (Xc) were obtained directly from the impedance signal; phase angle (PA) and distance (D) were calculated using mathematical formulas. Nutritional status was assessed by anthropometric measurements and BIA-derived indices, expressed as standard deviation scores (SDS), and by a score system based on BIA and anthropometric parameters. The percentage of children with values of anthropometric and BIA-derived indices below the 3rd percentile or between the 3rd and 25th percentiles, and the percentage of children with scores of 7-12 and 4-6 were calculated in order to detect patients with severe or moderate derangement of nutritional status. RESULTS: The mean SDS values of Xc, PA, and D significantly improved (p = 0.05, p = 0.001, p = 0.02) during the first 6 months of PD and remained almost stable during the following months. The SDS values of the anthropometric indices were less compromised than those of the BIA-derived indices, particularly at the start of dialysis. By 6 months, the percentages of children with values of BIA and anthropometric indices below the 3rd percentile had decreased. The percentages of patients with moderate and severe derangement of BIA and anthropometric indices remained substantially unchanged after 12 months. However, at 24 months, the percentage of patients with moderate derangement of BIA indices increased. All these findings were confirmed by the nutritional score system. CONCLUSION: BIA is more sensitive than anthropometry in detecting alterations in body composition of children on PD. The prevalence of malnutrition, high at the commencement of PD, decreases during the first year of treatment but not over the long term.

Adolescent↗
PubMed1992

Relationships between age, sex, anthropometry and bioelectrical impedance.

To establish the relationships between age, sex, anthropometric measurements and bioelectrical impedance, 446 healthy subjects (242 men and 204 women), aged 17 to 88 years, were enrolled in our study. Anthropometric parameters included body weight, height, body mass index (BMI), skinfold thickness of the triceps (TSF), and arm muscle circumference (AMC). Using the BIA-106, RJL System, the bioelectrical resistance, bioelectrical reactance and phase angle were measured. Correlation analysis revealed a significant correlation between gender, anthropometry and bioelectrical resistance. A significant correlation between age, anthropometry and reactance was also noted. Both male and female subjects in the fourth quartile of the age distribution showed significantly lower reactance and phase angle. The quartile study of the body mass index revealed corresponding changes in weight, BMI, TSF, AMC and resistance in quartiles, but not reactance. In conclusion, in addition to anthropometry, gender has an effect on bioelectrical resistance, and age has an effect on reactance.

Adolescent↗
PubMed2006

Head rotation during vertical impact predicted using initial head angle and anthropometry.

INTRODUCTION: Dynamic inertial loading to the head and neck complex, similar to what is experienced during the rocket boost phase of pilot ejection, results in diverse kinematic responses when observed in live human volunteers. The purpose of this study was to develop a predictive model of head rotation during the compressive phase of pilot ejection. METHODS: Post hoc analyses were conducted on data from two previous experimental studies. This analysis included observing 138 tests involving 27 human volunteers (both men and women) where the various kinematic responses were categorized into five modes based on the location of primary rotation and the direction of head rotation. Several statistical methods (logistic regression, linear regression, and Fisher's Exact test) were employed to evaluate the influence of independent variables, body anthropometry, and initial head angle on dependent variables head acceleration and direction of head rotation. RESULTS: Statistical results of this data indicated that initial head position and body anthropometry are significant factors with respect to head response during the compressive phase of an ejection. Two statistical tools were developed; one to assist in predicting the location of primary head rotation, and the other to predict the direction of head rotation. DISCUSSION: By using the two statistical tools together, a simplified method was developed for predicting the modes of head response to vertical impact based on initial position and anthropometry. The results of this study show the importance of initial position prior to an ejection and may assist in identifying individuals at greater risk of injury during an ejection.

Anthropometry↗
PubMed1995

Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee.

Anthropometry provides the single most portable, universally applicable, inexpensive and non-invasive technique for assessing the size, proportions, and composition of the human body. It reflects both health and nutritional status and predicts performance, health, and survival. As such, it is a valuable, but currently underused, tool for guiding public health policy and clinical decisions. This report presents the conclusions and comprehensive recommendations of a WHO Expert Committee for the present and future uses and interpretation of anthropometry. In a section that sets the technical framework for the report, the significance of anthropometric indicators and indices is explained and the principles of applied biostatistics and epidemiology that underlie their various uses are discussed. Subsequent sections provide detailed guidance on the use and interpretation of anthropometric measurements in pregnant and lactating women, newborn infants, infants and children, adolescents, overweight and thin adults, and adults aged 60 years and over. With a similar format for each section, the report assesses specific applications of anthropometry in individuals and populations for purposes of screening and for targeting and evaluating interventions. Advice on data management and analysis is offered, and methods of taking particular measurements are described. Each section also includes a discussion of the extent, reliability and universal relevance of existing reference data. An extensive series of reference data recommended by the Expert Committee and not widely distributed by WHO hitherto is included in an annex.

Adolescent↗
PubMed2002

Introduction of a three-dimensional anthropometry of the viscerocranium. Part II: evaluating osseous and soft tissue changes following orthognathic surgery.

BACKGROUND AND OBJECTIVE: Anthropometric measurements, described and assessed in Part I of this article were applied in dysgnathic patients. Diagnosis, surgical planning and follow-up were performed and soft tissue ratios quantified. MATERIAL AND METHODS: One hundred and seventy-five anthropometric measurements and 146 cephalograms of 100 patients were included. Forty-five patients were analysed before and after surgery. Ten randomly selected patients were re-measured directly by two investigators for reliability and validity assessment. RESULTS: Manoeuvres that expanded the facial skeleton such as maxillary or mandibular advancements or maxillary elongations generally had a greater soft tissue impact than setbacks or maxillary impactions. A 1.4% intra-observer and a 2.6% inter-observer error was apparent with anthropometry. Concordance of anthropometry with roentgenocephalometry (p<0.04) was found by paired t -test. CONCLUSION: The anthropometry allowed reliable and objective, independent calculation of cranial bone relations and soft tissue projection. It is also sensitive to facial asymmetry. Easy application, versatility and an economic price for the assessment of facial proportions, soft tissue ratios, operation planning and follow-up were obvious.

Adult↗