The Quételet index revisited in children and adults

BackgroundThe body mass index (BMI) is based on the original concept that body weight increases as a function of height squared. As an indicator of obesity the modern BMI assumption postulates that adiposity also increases as a function of height in states of positive energy balance.ObjectiveTo evaluate the BMI concept across different adiposity magnitudes, in both children and adults.MethodsWe studied 975 individuals who underwent anthropometric evaluation: 474 children and 501 adults. Tetrapolar bioimpedance analysis was used to assess body fat and lean mass.ResultsBMI significantly correlated with percentage of body fat (%BF; children: r = 0.893; adults: r = 0.878) and with total fat mass (children: r = 0.967; adults: r = 0.953). In children, body weight, fat mass, %BF and waist circumference progressively increased as a function of height squared. In adults body weight increased as a function of height squared, but %BF actually decreased with increasing height both in men (r = −0.406; p < 0.001) and women (r = −0.413; p < 0.001). Most of the BMI variance in adults was explained by a positive correlation of total lean mass with height squared (r² = 0.709), and by a negative correlation of BMI with total fat mass (r = −0.193).ConclusionsBody weight increases as a function of height squared. However, adiposity progressively increases as a function of height only in children. BMI is not an ideal indicator of obesity in adults since it is significantly influenced by the lean mass, even in obese individuals.     

Factores determinantes del índice de masa corporal en escolares españoles a partir de las Encuestas Nacionales de Salud

IntroductionSpanish National Health Surveys do not establish synergistic relations between variables. The purpose of this study was to perform a deeper historical analysis of body mass index (BMI) and its relation to other parameters included in the questionnaire for children.Material and methodsData from interviews conducted (between 1987 and 2006) to parents and guardians of schoolchildren aged 9-15 years were analyzed. Height and weight reported by parents were selected and used to calculate BMI. Subjects were stratified by age, gender, time spent sleeping and watching television and, finally, frequency of physical activity. The historical trend of BMI and its dependence on the above factors were analyzed using ANOVA tests.Results and conclusionsSignificant weight and height increases were seen, which were more marked in boys aged 12 to 15 years. Influence of physical activity on BMI was shown, but decreased (P < .001) as exercise time increased. By contrast, BMI increased (P < .001) as time spent watching television increased. On the other hand, the role of sleep as modulator of body size was confirmed, since schoolchildren aged 9-11 years who slept over 9 h had lower BMIs (P < .001). In subjects aged 12 to 15, BMI decreased (P < .001) from 6 h of sleep.     

Body mass index,height and early-onset basal cell carcinoma in a case-control study

IntroductionBasal cell carcinoma (BCC) is the most common malignancy in the US. Body mass index (BMI) and height have been associated with a variety of cancer types, yet the evidence regarding BCC is limited. Therefore, we evaluated BMI and height in relation to early-onset BCC (under age 40) and explored the potential role of ultraviolet (UV) radiation exposure and estrogen-related exposures in the BMI-BCC relationship.MethodsBCC cases (n = 377) were identified through a central dermatopathology facility in Connecticut. Control subjects (n = 389) with benign skin conditions were randomly sampled from the same database and frequency matched to cases on age (median = 36, interquartile range 33–39), gender, and biopsy site. Participants reported weight (usual adult and at age 18), adult height, sociodemographic, phenotypic, and medical characteristics, and prior UV exposures. We calculated multivariate odds ratios (ORs) and 95% confidence intervals (CIs) using unconditional logistic regression models.ResultsAdult BMI was inversely associated with early-onset BCC (obese vs. normal OR = 0.43, 95% CI = 0.26–0.71). A similar inverse association was present for BMI at age 18 (OR = 0.54, 95% CI = 0.34–0.85). Excluding UV exposures from the BMI models and including estrogen-related exposures among women only did not alter the association between BMI and BCC, indicating limited mediation or confounding. We did not observe an association between adult height and BCC (OR per cm = 1.00, 95% CI = 0.98–1.02).ConclusionsWe found a significant inverse association between BMI and early-onset BCC, but no association between height and BCC. This association was not explained by UV exposures or estrogen-related exposures in women.     

A six decades long follow-up on body size in adolescents from Zagreb,Croatia (1951–2010)

Most studies analysing the influence of socioeconomic deterioration on body size focus on the impact of food shortages and diseases on the growth in early childhood. To evaluate how socioeconomic conditions influence the growth during the adolescence, we tracked the body size of 15–19 year-olds over the last sixty years covering the socialist period (1951–1990), the war (1991–1995) and the transition to capitalistic economy. This study of Zagreb, Croatia, adolescent population provides information on the secular trend in height, weight and Body Mass Index (BMI) and examines their relation with Real Gross Domestic Product. From 1951 to 2010 the girls’ height approximately increased by 6.2 cm and weight by 6.8 kg, while the boys’ height increased by 12.2 cm and weight by 17.3 kg. Prior to 1991 mean BMI in girls was higher than in boys, but from 1991 on, the interrelation between the sexes has been opposite, possibly mirroring the cultural trends that started in mid-1970s and reflecting higher sensitivity of boys to the socioeconomic changes. In conclusion, the secular trend in body size over the investigated period reflects the positive economic trends interrupted by the war. The recent increase in BMI corresponds to the country's economic recovery and indicates the “nutrition transition”.     

Towards an anthropometric history of latin America in the second half of the twentieth century

We examine the evolution of adult female heights in twelve Latin American countries during the second half of the twentieth century based on demographic health surveys and related surveys compiled from national and international organizations. Only countries with more than one survey were included, allowing us to cross-examine surveys and correct for biases. We first show that average height varies significantly according to location, from 148.3 cm in Guatemala to 158.8 cm in Haiti. The evolution of heights over these decades behaves like indicators of human development, showing a steady increase of 2.6 cm from the 1950s to the 1990s. Such gains compare favorably to other developing regions of the world, but not so much with recently developed countries. Height gains were not evenly distributed in the region, however. Countries that achieved higher levels of income, such as Brazil, Chile, Colombia and Mexico, gained on average 0.9 cm per decade, while countries with shrinking economies, such as Haiti and Guatemala, only gained 0.25 cm per decade.     

Secular growth trends among children in Beijing (1955–2010)

ObjectivesTo analyze the growth trends of children in Beijing from 1955 to 2010.MethodsData for the period 1955–1975 were derived from published records. Data for the period 1985–2010 were derived from the Chinese National Survey on Students’ Constitution and Health (CNSSCH). Since 1985, the overall sampling and measurement methods have been consistent. The mean, the standard deviation, and the variance (ANOVA) of height, weight, and BMI by age and sex of students aged 7–17 were calculated and analyzed.ResultsBetween 1955 and 2010, the average height and weight of children in Beijing has increased. The average increments per decade for boys and girls were 2.45 cm and 2.03 cm in height and 2.68 kg and 1.68 kg in weight, respectively. The largest height increase per decade occurred between 1975 and 1985: 4.51 cm and 3.23 cm for boys and girls, respectively. The largest height increase for the entire 55-year period under study occurred among boys at age 13 (17.85 cm) and among girls at age 11 (15.90 cm.)ConclusionsDuring the period 1955–2010, growth trends among children in Beijing were positive. The health and nutritional status of these children improved significantly. Since 2007, might be related to government intervention, childhood obesity has been curbed.     

Trends in physical stature across socioeconomic groups of Chilean boys, 1880–1997

This paper studies the trends in height-by-age across socioeconomic groups of Chilean boys aged 5–18 born between 1880 and 1997, by performing a meta-analysis of 38 studies reporting height-by-age published since 1898. We estimate the trends using quantile regressions and by analyzing detailed height data from five selected studies. Both methods yield an average decennial increase in height of 1–1.1 cm, and 0.9 and 1.2–1.3 cm for boys of upper and lower socioeconomic status (SES), respectively. SES differences in heights of 9–11 cm are observed up to the late 1940s. However, boys born after the 1930s exhibit substantial convergence in height between socioeconomic groups, driven by an increase in height of middle and lower SES boys of 1.5 and 1.4–2 cm per decade, respectively. As a result, SES differences in height decreased to 5 cm in 1990s. Since these changes occurred in a context of moderate economic growth and persistent income inequality, we argue that our findings are associated with the emergence and expansion of social policies in Chile since the 1940s, which delivered steady improvements in health, nutrition and living conditions.     

High frequency body mass measurement,feedback, and health behaviors

We analyze weight and fat percentage measurements of respondents in an online general population panel in the Netherlands, collected using wireless scales, with an average frequency of 1.6 measurements per week. First, we document the existence of a weekly cycle; body mass is lowest on Fridays and highest on Mondays, showing significant (p < 0.01) differences of, on average, 0.2 kilogram in weight, 0.06 in BMI value, and 0.03 in fat percentage. Second, we find that in the general population fat-based measures of obesity point at a three times larger prevalence of obesity (53%) than BMI-based measures (17%). Third, we find that feedback that includes a recommended weight range increases the temporal variation in individual body mass by almost ten percent (sd for weight increases from 1.13 to 1.22; sd for BMI increases from 0.37 to 0.41; sd for fat percentage increases from 0.55 to 0.61.     

Stature,body mass,and brain size: A two-million-year odyssey

Physical size has been critical in the evolutionary success of the genus Homo over the past 2.4 million-years. An acceleration in the expansion of savannah grasslands in Africa from 1.6 Ma to 1.2 Ma witnessed concomitant increases in physical stature (150–170 cm), weight (50–70 kg), and brain size (750–900 cm³). With the onset of 100,000 year Middle Pleistocene glacial cycles (“ice ages”) some 780,000 years ago, large-bodied Homo groups had reached modern size and had successfully dispersed from equatorial Africa, Central, and Southeast Asia to high-latitude localities in Atlantic Europe and North East Asia. While there is support for incursions of multiple Homo lineages to West Asia and Continental Europe at this time, data does not favour a persistence of Homo erectus beyond ～400,000 years ago in Africa, west and Central Asia, and Europe. Novel Middle Pleistocene Homo forms (780,000–400,000 years) may not have been substantially taller (150–170 cm) than earlier Homo (1.6 Ma–800,000 years), yet brain size exceeded 1000 cm³ and body mass approached 80 kg in some males. Later Pleistocene Homo (400,000–138,000 years) were ‘massive’ in their height (160–190 cm) and mass (70–90 kg) and consistently exceed recent humans. Relative brain size exceeds earlier Homo, yet is substantially lower than in final glacial H. sapiens and Homo neanderthalensis. A final leap in absolute and relative brain size in Homo (300,000–138,000 years) occurred independent of any observed increase in body mass and implies a different selective mediator to that operating on brain size increases observed in earlier Homo.     

The BMI values of the lower classes likely declined during the Great Depression

The BMI values of inmates in the McNeil Island Penitentiary in Washington State declined between the 1860s and the 1910s birth cohorts by 1.44. Furthermore, those who were imprisoned in the 1930s had significantly lower BMI values (by between 0.72 and 1.01) than those who were incarcerated at the end of the 19th century. This corresponds to a decrease in weight of some 2.25 kg (4.95 lbs) for a man of average height of 173.86 cm (68.5 inches). The diminution in nutritional status among this lower-class sample is hardly surprising, given the high level of unemployment at the time but has not been verified until now. In marked contrast, the BMI values of Citadel cadets increased by 1.5 units in the 1930s. This divergence in BMI values is most likely due to the different social status, to the different regional origins of the two samples or to both.     

Distribución de la circunferencia de la cintura y de la relación circunferencia de la cintura con respecto a la talla según la categoría del índice de masa corporal en los pacientes atendidos en consultas de endocrinología y nutrición

IntroductionWaist circumference (WC) and the waist-to-height ratio (WHtR) are anthropometric measures widely used in clinical practice to evaluate visceral fat and the consequent cardiovascular risk. However, risk thresholds should be standardized according to body mass index (BMI).ObjectiveTo determine the distribution of WC and WHtR according to the BMI cut-points currently used to describe overweight and obesity.Materials and methodsWC, WHtR and BMI were measured in 3521 adult patients (>18 years) attended in Endocrinology and Nutrition units.ResultsA total of 20.8% (734 patients) were diabetic. Obesity was found in 82.1% of diabetic patients and in 75% of non-diabetic patients. The WC thresholds proposed by the National Institute of Health (102 cm in men, 88 cm in women), Bray (100 cm in men, 90 cm in women) and the International Diabetes Federation (94 cm in men, 80 cm in women) were exceeded by 92.9%, 94.8% and 98.4% of obese men, 96.8%, 95.5% and 99.7% of obese women, 79.1%, 83.1% and 90% of diabetic men and 95.5%, 81.5% and 97.4% of diabetic women, respectively. Thresholds adapted to the degree of obesity (90, 100, 110 and 125 cm in men and 80, 90, 105 and 115 cm in women for normal BMI, overweight, obesity I and obesity greater than I) were exceeded by 58.4% of obese men, 54.2% of obese women, 57.5% of diabetic men and 60.7% of diabetic women. WC was higher in men, and BMI and the WHtR were higher in women. The WC of diabetic women equalled that of men, and WC, WHtR and BMI were higher in diabetic than in non-diabetic women (p<0.001). WC (p<0.005), WHtR (p<0.001) and BMI (p<0.5) were also higher in diabetic than in non-diabetic men.ConclusionWC and WHtR thresholds by BMI discriminated diabetic and obese patients better than single thresholds, and can be represented graphically by the distribution of percentile ranks of WC and WHtR by BMI.ik     

Anthropometric features and cutaneous melanoma risk: A prospective cohort study in French women

BackgroundEpidemiological studies on anthropometric features and cutaneous melanoma risk in women yielded inconsistent results, with few analyses involving prospective cohort data. Our objective was to explore several anthropometric characteristics in relation to the risk of melanoma in women.MethodsWe prospectively analysed data from E3N, a French cohort involving 98,995 women born in 1925–1950. Participants completed self-administered questionnaires sent biennially over 1990–2008. Relative risks (RRs) and 95% confidence intervals (CIs) were computed using Cox proportional hazards regression models, adjusted for age, number of naevi, freckling, skin and hair colour, skin sensitivity to sun exposure, residential sun exposure, and physical activity.ResultsHeight was positively associated with melanoma in age-adjusted models only (RR = 1.27, 95% CI = 1.05–1.55 for ≥164 cm vs. <160 cm; P for trend = 0.02). After full adjustment, there was a significantly positive relationship between sitting-to-standing height ratio and melanoma risk (RR = 1.40, 95% CI = 1.06–1.86 for ≥0.533 vs. <0.518; P for trend = 0.02). A large body shape at menarche was inversely associated with the risk of melanoma (RR = 0.78, 95% CI = 0.62–0.98; compared with lean). However, weight, body mass index, body surface area, waist or hip circumference, sitting height or leg length were not significantly associated with risk.ConclusionThese results suggest that height, sitting-to-standing height ratio and body shape at menarche may be associated with melanoma risk. Further research is required to confirm these relationships and better understand the underlying mechanisms.     

Anthropometric and body composition characteristics during pregnancy: A study from West Bengal,India

The present cross-sectional study was aimed at investigating changes in anthropometric, body composition and blood pressure characteristics during pregnancy. A total of 406 healthy, pregnant women aged between 16 and 33 years participated in the study. Pregnant women were recruited from the outpatient department of the two-referral hospital in Bolpur subdivision of Birbhum district, West Bengal, India. Anthropometric measures such as height, weight, three circumferences and skinfold thickness at four sites (biceps, triceps, subscapular and suprailaic) were obtained using standard techniques. Percentages of body fat (%BF), intra abdominal visceral fat (IVF), basal metabolic rate (BMR) and body mass index (BMI) were measured using an Omron body fat analyser. Two forenoon blood pressure measurements were also taken and averaged for analysis. Subjects were categorized into three trimester groups: Group I, n = 30; Group II, n = 163; and Group III, n = 213. ANOVA with Scheffe's post-hoc test revealed that Group I had significantly lower mean than both Group II and Group III for systolic blood pressure and IVF, whereas Group I had significantly lower mean than Group III for BMI, BMR, %BF, diastolic blood pressure and skinfolds. The mean change in maternal weight from the first to the third trimester was merely 3 kg. Mean waist circumference varied from the first to the third trimester but not from the first to the second trimester. Furthermore, significantly increased systolic and diastolic blood pressure was observed across the trimesters. However, longitudinal studies involving interaction of body fat topography and pregnancy-induced hormones are required to further our understanding of gestation mechanism.     

Associations of body mass index with cancer incidence among populations,genders, and menopausal status: A systematic review and meta-analysis

In order to further reveal the differences of association between body mass index (BMI) and cancer incidence across populations, genders, and menopausal status, we performed comprehensive meta-analysis with eligible citations. The risk ratio (RR) of incidence at 10 different cancer sites (per 5 kg/m² increase in BMI) were quantified separately by employing generalized least-squares to estimate trends, and combined by meta-analyses. We observed significantly stronger association between increased BMI and breast cancer incidence in the Asia⿿Pacific group (RR 1.18:1.11⿿1.26) than in European⿿Australian (1.05:1.00⿿1.09) and North-American group (1.06:1.03⿿1.08) (meta-regression p < 0.05). No association between increased BMI and pancreatic cancer incidence (0.94:0.71⿿1.24) was shown in the Asia⿿Pacific group (meta-regression p < 0.05), whereas positive associations were found in other two groups. A significantly higher RR in men was found for colorectal cancer in comparison with women (meta-regression p < 0.05). Compared with postmenopausal women, premenopausal women displayed significantly higher RR for ovarian cancer (pre- vs. post- = 1.10 vs. 1.01, meta-regression p < 0.05), but lower RR for breast cancer (pre- vs. post- = 0.99 vs. 1.11, meta-regression p < 0.0001). Our results indicate that overweight or obesity is a strong risk factor of cancer incidence at several cancer sites. Genders, populations, and menopausal status are important factors effecting the association between obesity and cancer incidence for certain cancer types.     

Reaction time: Does it relate to weight status in children?

It has been recently reported that reaction time (RT) is related to weight status [measured by body mass index (BMI)] in young, adult and older people. However, there is little evidence for children, and the similar studies included small sample of participants. The aim of this study was to evaluate the relationship between a new RT test and weight status among a sample of 7–11 year old schoolboys. Therefore, 533 apparently healthy schoolboys underwent clinical reaction time (RT_clin) measurements and standard anthropometry. Participants according to different obesity indices [waist circumference (WC), waist to height ratio (WHtR), BMI and fat%] were assigned to different weight status categories. Results indicated that time of RT_clin decreased as age of the boys increased (F = 63; P < 0.01). No significant difference was observed for RT_clin among the BMI, WC, WHtR and fat% categories after controlling for age (P > 0.05). In conclusion, it seems that there is no relationship between simple RT (measured by RT_clin) and weight status in the boys. Additional studies for finding relationship between RT and weight status are needed by including larger samples of participants, various age groups and various RT tests.     

The biological standard of living in Suriname,c. 1870–1975

The physical stature of Surinamese soldiers is estimated to have increased by more than 3 cm between 1870 and 1909. In the subsequent four decades, the increase in adult male and female height amounted to 0.3–0.5 cm and 0.9–1.0 cm per decade, respectively. This increase in height continued and accelerated during the second half of the twentieth century. Height increase among African and Hindustani Surinamese males and females was similar. Height differences between African and Hindustani Surinamese were therefore fairly constant over time, at 4–5 cm. Other indicators of nutritional and health status, such as infant mortality, showed continuous improvement, whereas per capita calorie and protein availability improved in the twentieth century.     

Evaluating the impact of a school-based health intervention using a randomized field experiment

We conduct an econometric evaluation of a health-promoting programme in primary and lower secondary schools in Denmark. The programme includes health-related measurements of the students, communication of knowledge about health, and support of health-promoting projects for students. Half of the schools in the fourth largest municipality in Denmark were randomly selected into a treatment group implementing the programme, while the remainder served as a control group. We estimate both OLS models using only post-intervention observations and difference in differences (DID) models using also pre-intervention observations. We estimate effects of the initiative on BMI, waist/height ratio, overweight and obesity for the entire sample and by gender and grade. We find no consistent effect of the programme. When we use the entire sample, no estimates are statistically significant at conventional levels, although the point estimates for the effect on BMI, indicating an average reduction in the range of 0.10–0.15 kg/m², are consistent with the results in a recent Cochrane review evaluating 55 studies of diet and exercise interventions targeting children; and DID estimates which are marginally significant (at the 10% level) indicate that the intervention reduces the risk of obesity by 1% point. Running separate estimations by gender and grade we find a few statistically significant estimates: OLS estimates indicate that the intervention reduces BMI in females in grade 5 by 0.39 kg/m² and reduces the risk of obesity in females in grade 9 by 2.6% points; DID estimates indicate an increase in waist for females in preschool class by 1.2 cm and an increase in the risk of obesity in grade 9 males by 4% points. However, if we corrected for multiple hypotheses testing these estimates would be insignificant. There is no statistically significant correlation between participation in the programme and the number of other health-promoting projects at the schools.     

BMI,hypertension and low bone mineral density in adult men and women

The aim of this work was to estimate the body mass index (BMI) at which risk of hypertension is lowest in men and women, while concurrently considering the protective role of adipose tissue in osteoporosis. Healthy, occupationally active inhabitants of the city of Wroc?aw, Poland, 1218 women and 434 men were studied. BMI, systolic and diastolic blood pressures, bone mineral density (BMD) of the trabecular compartment and distal radius of the non-dominant hand were recorded. Overweight in young women (≤45 years) was associated with increased risk of hypertension, whereas the risk of low bone mineral was decreased for the same BMI. In older women (>45 years), a BMI > 27 was the threshold for increased risk of hypertension. In this age group, extremely slim women (BMI < 21) had the highest risk of low bone mineral density. In younger males (≤45 years), risk of hypertension was lowest among the thinnest subjects (BMI < 21). Increase in BMI over 21 kg/m² increased the risk of hypertension. The probability of low bone mineral density was the same in all BMI categories of men. In older men (>45 years), the thinnest (BMI < 21) had higher risk of hypertension. To begin from BMI = 25 kg/m², there was a monotonous increase in risk of hypertension in men. Higher risk for low bone mineral density was observed in older men with the BMI < 23.Among younger adults, risk of hypertension and low bone mineral density increase at BMI ≥ 21 kg/m² in men and BMI ≥ 23 kg/m² in women. Among older men and women, the BMI threshold was 27 kg/m².     

Circulating levels of irisin in patients with anorexia nervosa and different stages of obesity – Correlation with body mass index

Irisin was recently identified as cleavage product of fibronectin type III domain containing 5 (FNDC5) and shown to increase energy expenditure in mice and humans and therefore was discussed as potential treatment option in obesity. However, the regulation of irisin under conditions of severely altered body weight such as anorexia nervosa and obesity remains to be investigated. We analyzed circulating irisin levels over a broad spectrum of body weight in 40 patients with anorexia nervosa (mean body mass index, BMI 12.6 ± 0.7 kg/m²), normal weight controls (22.6 ± 0.9 kg/m²) and obese patients with BMI of 30–40 (36.9 ± 1.2 kg/m²), 40–50 (44.9 ± 1.1 kg/m²) and >50 (70.1 ± 2.7 kg/m², n = 8/group). Correlation analyses were performed between irisin and different body indices, parameters of body composition and hormones involved in various homeostatic processes. Obese patients showed higher circulating irisin levels compared to normal weight and anorexic patients (p < 0.05) resulting in a correlation of irisin with body weight (r = 0.47, p < 0.01) and BMI (r = 0.50, p < 0.001). Plasma irisin was also positively correlated with fat mass (r = 0.48, p < 0.01), body cell mass (r = 0.45, p < 0.01) and fat free mass (r = 0.40, p < 0.05). Insulin levels were positively correlated with irisin (r = 0.45, p < 0.01), whereas circulating ghrelin, cortisol, thyroid-stimulating hormone or C-reactive protein were not (p > 0.05). These data indicate that circulating irisin is affected under conditions of altered BMI with highest levels in severely obese patients. The increase of irisin under conditions of obesity may indicate a physiological function to improve glucose tolerance which is often impaired in obese subjects.     

Urea space and body condition score to predict body composition of meat goats

Yearling Boer × Spanish goat wethers (40) were used to develop and compare body composition prediction equations for mature meat goats based on urea space (US) and body condition score (BCS). Before the experiment, one-half of the animals were managed to have high BW and BCS (1–5, with 1 being extremely thin and 5 very fat) and the others were managed to have low BW and BCS. During the 24-week experiment, initially fat wethers were fed to lose BW and BCS and initially thin wethers were fed to increase BW and BCS. BCS, US, and whole body chemical composition were determined after 0, 12, and 24 weeks. Mean, minimum, and maximum values were 42.1 (S.E. = 1.12), 24.5, and 59.0 kg for shrunk BW; 3.0 (S.E. = 0.11), 1.5, and 4.0 for BCS; 61.3 (S.E. = 1.01), 53.7, and 76.5% for water; 20.2 (S.E. = 1.11), 4.7, and 29.7% for fat; 15.6 (S.E. = 0.19), 13.3, and 18.1% for protein; and 2.9 (S.E. = 0.062), 2.2, and 3.7% for ash, respectively. For water, fat, and ash concentrations and mass, simplest equations explaining greatest variability (with independent variables of US, BCS, and (or) shrunk BW) based on BCS accounted for more variation than ones based on US, although in some cases differences were not large (i.e., water and ash concentrations and mass). Neither US nor BCS explained variability in protein concentration. Equations to predict protein mass based on shrunk BW and US or BCS were nearly identical in R² and the root mean square error. A 1 unit change in BCS corresponded to change in full BW of 8.9 kg (full BW (kg) = 17.902 + (8.9087 × BCS); R² = 0.653), fat concentration of 7.54% (%fat = −5.076 + (7.5361 × BCS); R² = 0.612), and energy concentration of 3.01 MJ/kg (energy (MJ/kg) = 0.971 + (3.0059 × BCS); R² = 0.615). In summary, BCS may be used as or more effectively to predict body composition of meat goats than US. The primary determinant of BCS, within the range of BCS observed in this experiment, was body fat content.