Body Composition Chart Research Articles

Relationship between Birth Weight, Early Growth Rate, and Body Composition in 5- to 7-Year-Old Children

Background: Programing of body composition during intrauterine growth may contribute to the higher risk for cardio-metabolic disease in individuals born small or large for gestational age (SGA, LGA). Compensations of intrauterine growth by catch-up or catch-down postnatal growth may lead to adverse consequences like a thin-fat phenotype. Methods: The impact of (i) birth weight as well as (ii) the interaction between birth weight and catch-up or catch-down growth during the first 2 years of life on fat-free mass index (FFMI) and fat mass index (FMI) in 3,204 5–7-year-old children were investigated using Hattori’s body composition chart. Body composition results were compared to appropriate for gestational age (AGA) birth weight with the same body mass index (BMI). Results: In total, 299 children at age 5–7 years were categorized as SGA, 2,583 as AGA, and 322 as LGA. When compared to AGA-children, BMI at 5–7 years of age was higher in LGA-children (15.5 vs. 16.2 kg/m²; p < 0.001) but not different in SGA-children. Compared to AGA with the same BMI, LGA was associated with higher FMI and a lower FFMI in 5–7-year-old girls. This phenotype was also seen for both sexes with catch-down growth during the first 2 years of life whereas catch-up growth prevented the higher FMI and lower FFMI per BMI. By contrast, SGA was associated with a higher FFMI and lower FMI in 5–7-year-old boys compared to AGA boys with the same BMI. This phenotype was also seen with catch-down growth in both genders whereas catch-up growth in girls led to more gain in FMI per BMI. Conclusion: LGA with a compensatory catch-down postnatal growth may be a risk factor for the development of disproportionate gain in fat over lean mass whereas SGA with a catch-down postnatal growth seems to favor the subsequent accretion of lean over fat mass. A higher propensity of lean mass accretion during postnatal growth in boys compared to girls explains sex differences in these phenotypes.

A Comparison of an Alternative Weight-Grading Model Against Chronological Age Group Model for the Grouping of Schoolboy Male Rugby Players.

ObjectivesConcerns regarding marked differences in the weights and body composition of young rugby players competing within the same age groups have led to the suggestion of alternative models for grouping young players. The aims of this study were (1) to compare variance in the body size and body composition of schoolboy rugby players (9 to 14 years), across weight- and age-grading models, and (2) to identify morphotypes for the weight model using Hattori’s body composition chart.Materials and MethodsSkinfold thickness measurements were used to assess body fat mass (BF), fat-free mass (FFM), body fat mass index (BFMI), and fat-free mass index (FFMI). Standardized measure of height and weight were taken for all participants. Data were grouped according to the age categories of the French Rugby Federation (U11: Under 11 years, U13: Under 13 years, and U15: Under 15 years), and to the weight categories (W30–44.9; W45–59.9; and W60–79.9) carried out from 25th and 75th weight percentile in each age category. Body mass index status (NW normal-weight versus OW/OB overweight/obese) was considered. Extreme morphotypes are characterized from BFMI and FFMI in the weight-grading model on Hattori’s body composition chart.ResultsThe dispersion of anthropometric characteristics decreased significantly for the weight model, except for height in all groups and BFMI for U13. Among NW, 3, 1.8, and 0% upgraded; 18.2, 68.7, and 45.5% downgraded; among OW, 50, 21.5, and 12.5%; and among OB, 91.3, 83.3, and 74.6% upgraded, respectively, in U11, U13, U15. FFMI/BFMI were correlated in U11 (r = 0.80, p < 0.001), U13 (r = 0.66, p < 0.001), and U15 (r = 0.77, p < 0.001). There was no significant correlation in W45–59.9 and low correlations in W30–44.9 (r = 0.25, p < 0.001) and W60–79.9 (r = 0.29, p < 0.001). Significant grading difference between the centroids (p < 0.05) and the distribution deviates from centroids of BFMI and FFMI (p < 0.0001) were noted between the two models. Thirteen players were located in adipo-slender, twenty-three in adipo-solid, twenty-two in lean-slender, and two located in the lean-solid morphotype in weight model.ConclusionA weight-grading model should be considered to limit mismatches in anthropometric variables. However, variations of body composition also persisted for this model. Hattori’s body composition chart allowed more detailed examination of morphological atypicalities among schoolboy rugby players.

Longitudinal body composition assessment in healthy term-born infants until 2 years of age using ADP and DXA with vacuum cushion.

Accelerated gain in fat mass (FM) in early life increases the risk for adult diseases. Longitudinal data on infant body composition are crucial for clinical and research use, but very difficult to obtain due to limited measurement tools and unsuccessful measurements between age 6-24 months. We compared FM% by dual-energy X-ray absorptiometry (DXA), with cushion to reduce movement artifacts, with FM% by air-displacement plethysmography (ADP) and evaluated the reliability of this cushion during DXA by comparing FM% with and without cushion. Subsequently, we constructed sex-specific longitudinal body composition charts from 1-24 months. In 692 healthy, term-born infants (Sophia Pluto Cohort), FM% was measured by ADP from 1-6 months and DXA with cushion from 6-24 months. At 6 months, FM% was measured in triplicate by ADP and DXA with and without cushion(n = 278), later on in smaller numbers. At 6 months, mean FM% by DXA with cushion was 24.1 and by ADP 25.0, mean difference of 0.9% (Bland-Altman p = 0.321, no proportional bias). Mean FM% by DXA without cushion was 12.5% higher compared to ADP (Bland-Altman p < 0.001). DXA without cushion showed higher mean FM% compared to DXA with cushion (+11.6%, p < 0.001) at 6 months. Longitudinally, FM% increased between 1-6 months and decreased from 6-24 months(both p < 0.001). In infants, DXA scan with cushion limits movement artifacts and shows reliable FM%, comparable to ADP. This allowed us to construct longitudinal body composition charts until 24 months. Our study shows that FM% increases from 1-6 months and gradually declines until 24 months.

Application of body composition zones in boys with nonalcoholic fatty liver disease.

PurposeScreening nonalcoholic fatty liver disease (NAFLD) by body mass index (BMI) as a single surrogate measure for obesity has limitations. We suggest considering body composition zones by drawing a body composition chart composed of body composition indices, including BMI and percent body fat (PBF), to visualize the risk of NAFLD in obese children and adolescents.MethodsThirty-eight boys diagnosed with NAFLD were selected retrospectively from patients who visited Konkuk University Medical Center from 2006 to 2015. They had gone through body composition analysis by bioelectrical impedance analysis (BIA), and biochemical analyses, including a liver function test (LFT) and lipid panel, were performed. Fat-free mass index (FFMI) and fat mass index (FMI) were calculated from body composition analysis and height. We plotted FFMI and FMI of patients on a body composition chart and classified the patients into zones A to D. In addition, we analyzed the correlations between LFT, lipid panel, and body composition indices.ResultsThirty-three of 38 boys (86.8%) were located in zone C, corresponding to high BMI and PBF. Four boys (10.5%) were located in zone D, which correlates with sarcopenic obesity. One boy located in zone B was a muscular adolescent. Alanine aminotransferase level was positively correlated with PBF, FMI, and BMI z-score.ConclusionsBody composition zones on a body composition chart might be useful in risk assessment in obesity-related diseases such as NAFLD. Zones on a body composition chart could have practical applications, especially in sarcopenic obese children and adolescents.

Body composition analysis and references in children: clinical usefulness and limitations.

The prevalence of obesity is increasing over the world. Especially in Asians compared to Caucasians, there has been a significant increase in the population with major chronic diseases. This has developed over a shorter time period which is associated with socioeconomic changes in recent decades and a greater predisposition to cardiometabolic disorders. Many Asians could be classified has having normal weight but with obesity as evidenced by body composition (BC) and fat distribution. Overweight in Asian adults is classified as a BMI > 23 kg/m2 and obesity as a BMI > 25 kg/m2. An effective strategy to manage the obesity epidemic by focusing on childhood obesity is needed because of the huge impact that obesity exerts on population health. However, monitoring tools are limited to anthropometry such as BMI and BMI z-scores which define overweight and obese as a BMI exceeding the 85th and 95th percentiles, respectively, on reference growth charts. To overcome the limitations of BMI, reference values for BC components have been produced using various techniques. The use of BC charts for children in personalized therapeutic approach has increased, although there is a lack of a consensus on a single reference technique. Zones on BC charts and the personalized values of BC components could be practical, especially for the detection of metabolically unhealthy normal weight (MUN) children. BC charts should be included in the growth chart package and BC monitoring through the entire life course will help us understand the association between growth, aging, health and disease.

Growth and Puberty in Obese Children and Implications of Body Composition.

Childhood obesity is a major public health concern throughout the world. Nutrition, energy balance and hormones interplay in growth and pubertal development regulation. Frequently overweight and obese children are taller for their age and sex and tend to mature earlier than lean children. The increased leptin and sex hormone levels seen in obese children with excessive adiposity may be implicated in accelerated pubertal growth and accelerated epiphyseal growth plate maturation. Efforts to detect the impact of obesity in children are needed to prevent metabolic and cardiovascular disease in later life. This review aims to cover the process of growth in obese children and implications of body composition on growth and pubertal development and introduce the use of body composition charts in clinical practice.

Assessment of body composition of Bengalee boys of Binpur, West Bengal, India, using a modified Hattori chart method

Objective: To investigate the relationship be­tween fat-free mass index (FFMI) and fat mass index (FMI) by applying a body composition chart (BCC) on school boys of Binpur, West Bengal, India. Method: Data from 214 healthy school children of 10 to 17 years of age were obtained. The FFMI and FMI were plotted on the BCC, and the dif­ferences in the relationships between categories of FFMI and FMI were separately evaluated by Chi square test with body mass index (BMI) cut-off value. Results: The means of FFM and FM were 32.3±7.92 kg and 6.58± 3.2 kg respectively. Means of FFMI and FMI were 14.0±1.78 kg/m 2 and 2.83± 1.20 kg/m 2, respectively. Both FFMI and FMI categories were highly significant with cut-off BMI. Hattori chart indicated a wide variability in PBF that can occur for a given BMI value. Conclusions: Use of Hattori Charts incorporating BMI, PBF, FMI and FFMI are useful in studying the interrelations between these 4 variables. Both FFMI and FMI categories were highly significant when compared to cut-off BMI in measuring body composition. Modified Hattori Chart indicated a wide variability in PBF that can occur for a given BMI value.

Fat free mass index and fat mass index tracing on body composition chart in diabetes adolescent girls

Aims The prevalence of obesity and type 2 diabetes is increasing, and the impact of obesity on diabetes manifestation should be considered in management of type 1 diabetes children. There are some cases difficult to categorize into certain type in pediatric diabetic patients in the era of acceleration. The objective of this study was to determine the type differences of diabetes by analyzing the growth and body composition status and choose a proper treatment modality using the body composition chart.

Body Composition and Obesity in Korean Adolescents and its Impact on Diabetes Mellitus

The prevalence of childhood obesity and diabetes is increasing worldwide including Korea and the global epidemic of obesity is an important public health issue. Obesity is defined as a body mass index (BMI) for age and gender greater than the 95th percentile of a reference population. However, when assessing obesity, status of excessive fat should be considered, because BMI, the widely used obesity screening method, has limitations as a surrogate index for adiposity. To assess adiposity, applying body composition analysis could be helpful in differentiating fat mass (FM) from fat free mass (FFM). As the hallmark of adolescents is rapid somatic growth, sexual development with gender differentiation, and significant physical compositional changes, the importance of body composition analysis is much greater in this age group. The prevalence of childhood and adolescent diabetes is also increasing and in certain cases it is difficult to diagnose the type of diabetes they have. In this review diverse methods of assessing obesity will be introduced as in using body composition chart, plotting fat free mass index (FFMI) and fat mass index (FMI) from the FFM, and FM values derived from the result of body composition analysis. Also percent of body fat values derived from Korean National Health and Nutrition Examination Survey (KNHANES) for Korean adolescents will be presented. Finally, the impact of obesity on diabetes manifestation in the era of acceleration, usefulness of body composition chart in differentiating diabetes type and

Analyses of body composition charts among younger and older Chinese children and adolescents aged 5 to 18 years

BackgroundChildhood obesity has become a major public health problem in China. The objective of this study was to examine the effect of age and sex on the relationship between fat-free mass (FFM) and fat mass (FM), fat-free mass index (FFMI) and fat mass index (FMI) in Chinese children using body composition chart analysis, and to compare the changing pattern with Caucasian and Japanese counterparts.MethodsA total of 1458 children (790 boys and 668 girls) between 5 and 18 years of age were studied to determine a body composition by bioelectrical impedance analysis. The relationship of FFM and FM, FFMI and FMI were delineated by body composition charts.ResultsDifferent changing patterns in body composition were observed during 5-11y (younger age group), and 12-18y (older age group), with non-significant sex difference with FM and FMI for the younger age group and significant sex and age differences for the older age group. For the younger age group, simultaneous increase of FFM and FM was found in both genders. However, for the older age group, the increase in weight and BMI with age is largely due to the increment of FFM and FFMI in boys, and of FM and FMI in girls. In addition, different changing patterns in body composition exist between Chinese children and their Caucasian and Japanese counterparts, largely due to the higher fat mass component in Chinese subjects.ConclusionsOur results indicate that age- and gender-related changing patterns of body composition in Chinese children may differ at different growth stage, and differ with those in Caucasian and Japanese children at the same age period. Such changing patterns should be considered when designing the intervention proposal for childhood obesity in China.

Hierarchical differences of body composition and body mass index between male elite athletes and young adults using body composition chart

Hierarchical differences of body composition and body mass index between male elite athletes and young adults using body composition chart

Adolescent Build Plotting on Body Composition Chart and the Type of Diabetes Mellitus

Although the prevalence of type 2 diabetes is increasing, there are cases difficult to categorize into certain type in pediatric diabetic patients. The aims of this study were to detect and choose a proper treatment modality for atypical cases of diabetes mellitus, using the body composition chart. We conducted a retrospective study from August 2005 to 2012 with patients who visited Konkuk University Medical Center, and were diagnosed with diabetes mellitus. The medical records were reviewed for the anthropometric data and indices of body composition. The subjects were grouped by the type of diabetes and gender. We constructed a body composition chart plotting fat free mass index and fat mass index (FMI). Body mass index and all body composition indices were higher in type 2 diabetes, in each gender in analysis with Mann-Whitney test. Significant determinant of diabetes type was revealed as FMI and contributing factors on FMI were analyzed with regression analysis. Six atypical cases were identified by a body composition chart including non-obese type 2 diabetes showing suboptimal growth with lower BMI related to relatively lower insulin secretion and type 1 diabetes with insulin resistance resulted from obesity. Body composition chart analysis might be useful in characterization of diabetes type and detection of atypical cases and early adjustment of diabetes management strategy.

Gender Differences in Relationship between Fat-Free Mass Index and Fat Mass Index among Korean Children Using Body Composition Chart

PurposeThis study aimed to investigate gender differences in the relationship between fat-free mass index (FFMI) and fat mass index (FMI) by applying body composition chart on Korean elementary students.Materials and MethodsData from 965 healthy Korean children of 8 to 12 years of age (501 boys, 464 girls) were obtained. FFMI and FMI were plotted on the body composition chart, and the differences in the relationships between FFMI and FMI were separately evaluated by gender or grade.ResultsWeight was heavier and BMI was higher in 3rd and 4th grade boys compare to girls. The value of FFM was higher in boys, but FM was not different. In subgroup analysis by grade, significant gender by FFMI interaction (p=0.015) was found, indicating that the slope of the lines for FMI vs. FFMI was different between boys and girls (Figure was not shown). In subgroup analysis by gender, grade by FFMI interaction was significant in boys, indicating that FMI vs. FFMI relationship differed according to grade only in boys.ConclusionBoys are leaner than girls, despite having similar BMI. Gender difference in the direction of the change of the FFMI and FMI relationship is evident in children.

Body Composition Analysis in Newly Diagnosed Diabetic Adolescent Girls

Purpose: The objective of this study was to determine the type differences of diabetes by analyzing the growth status and body composition of newly diagnosed diabetic adolescent girls. Methods: The study included 6 type 1 diabetic adolescent girls (age 11.7 ± 1.9 years) and 6 type 2 diabetic adole- scent girls (age 14.4 ± 2.6 years). The height, weight and body composition of fat mass and fat-free mass were measured in each patient. Body mass index (BMI), fat mass index (FMI), fat free mass index (FFMI) and percent body fat (PBF) were calculated and each component was plotted on a body composition chart. Results: Type 2 diabetic adolescent girls seemed to be taller and heavier compared to type 1 diabetic girls, but the differences in height and weight z-score were not significant. BMI, FFMI, FMI, PBF were also higher in type 2 diabetic girls. The body composition chart revealed that type 2 diabetic girls had significantly higher FMI and PBF. In type 1 diabetic girls, FFMI was lower compared to type 2 diabetic girls. The BMI difference between diabetes types was explained with the difference in FFMI as well as FMI. Conclusion: The components of body composition differ according to diabetes type in adolescent girls. Measuring the body composition of diabetic girls might help to promote growth and adequate FFM gain during childhood. In diabetes control, diet and exercise should be emphasized along with insulin treatment.

Effect of suryanamaskar practice on the body composition of female students

The present experiment was conducted on randomly selected 30 female students, their age ranging from 14 to 16, intended to measure the effect of suryanamaskar practice on the body composition...

Chart analysis of body composition change among pre- and postadolescent Japanese subjects assessed by underwater weighing method

To examine the effect of age on the relationship between fat-free mass (FFM) and fat mass (FM), and fat-free mass index (FFMI) and fat mass index (FMI) by applying body composition chart analysis on pre- and postadolescent Japanese subjects. A sample of 516 children (244 boys and 272 girls) ranging in age from 11 to 17 y and 840 adults (288 male and 552 female subjects) ranging in age from 18 to 59 y were studied to determine a body composition by an underwater weighing method. FMI and FM were put on an x- and y-axis in body composition chart 1, and FFMI (FFM/ height(2)) and FMI (FM/height(2)) were taken on an x- and y-axis in body composition chart 2. In body composition chart 1, the plots for male subjects stayed flat from 11 to 14 y and after that a steady growth of FFM concurring with the FM growth was observed. During the adult stage, steady increments of FM and gradual decreases of FFM were observed. In body composition chart 2, steady increases of FFMI and gradual decreases of FMI were indicated in the male preadolescent period. In the adult stage, FFMI decreased year by year, although the FMI continued to increase. In female subjects, a conspicuous increase of FMI was observed throughout all periods of the present subjects. After middle age, the decline of FFMI was characteristically demonstrated in the chart. The relationships between FFM and FM are characteristically delineated on the body composition charts demonstrating clear gender differences. The change of body mass index was not reflecting the change of adiposity level in male subjects, although it was occurring along with the changes of the adiposity level in female subjects.

Body composition and resting metabolic rate of Japanese college Sumo wrestlers and non-athlete students: are Sumo wrestlers obese?

The body mass index [BMI = body weight/height2 (kg/m2)] is widely used as an indicator of obesity. However, BMI is not the best way to assess obesity, because obesity is an excess of body fat, not body weight. The difference between obesity assessments based on BMI and those based on the percentage of body fat (%Fat) causes problems in evaluating extraordinarily large people, such as Sumo wrestlers, who have both a large fat mass and a large muscle mass. We assessed obesity in male college Sumo wrestlers (n = 15) and non-athlete students (n = 20) using BMI and %Fat as reference indices. Anthropometric parameters and resting metabolic rate (in the sitting position) were measured. The mean body weight, BMI, and %Fat for Sumo wrestlers were 125.1 kg, 40.0, and 25.6%, respectively, which were extraordinarily high, as compared to non-athlete students (P 25%). Furthermore, the body composition chart clearly showed that some Sumo wrestlers were no more adipose than the non-athlete students. Due to their remarkable muscle development, Sumo wrestlers have an excessive fat-free mass. Thus we conclude that it is necessary to consider both BMI and %Fat to assess obesity in excessively muscular people, such as Sumo wrestlers. Furthermore, we propose new criteria and methods for documenting obesity in Sumo wrestlers based on energy metabolism that considers physical activity and dietary intake.

A Hattori chart analysis of body mass index in infants and children.

Body mass index (BMI) is widely used as an index of fatness in paediatrics, but previous analysis of the BMI-fatness relationship has been insufficient. To consider the effects of variation in fat-free mass (FFM) and fat mass (FM) on BMI in infants, children and Fomon's reference child (Am J Clin Nutr 1982; 35: 1169-1175). 42 infants aged 12 weeks; 64 children aged 8-12 y; Fomon's reference child. FFM was measured by deuterium dilution. FFM index (FFMI) and FM index (FMI) were calculated. The effects of variation in FFM and FM on BMI were explored using Hattori's body composition chart (Am J Hum Biol 1997; 9: 573-578). In both infancy and childhood, a given BMI can embrace a wide range of percentage body fat. At both time points, the s.d. of FFMI was > 60% of the s.d. of FMI. Graphic analysis differentiated the effects of lean tissue and fat deposition on BMI with age in the reference child. Although valuable for assessing short-term changes in nutritional status in individuals, and for comparing mean relative weight between populations, BMI is of limited use as a measure of body fatness in individuals in both infancy and childhood. The development of BMI with age may be disproportionately due to either FFM and FM at different time points.

Hierarchical differences in body composition of professional Sumo wrestlers

The body composition of 36 professional Sumo wrestlers and 39 collegiate male students were assessed densitometrically. The means of body weight, BMI and % fat for Sumo wrestlers were 117.1kg, 36.5 and 26.2%, extraordinarily large compared with untrainedmen (p < 0.001). Results of the analysis of variance of divisions of Sumo wrestlers revealed significant differences in body weight, fat-free mass, fat mass, BMI, fat-free mass index (FFM/height2) and fat mass index (FM/height2). For the visual expression of the hierarchical differences of body composition, fat mass index and fat-free mass index of the wrestlers in various leagues were plotted on a body composition chart. Wrestlers in the Sekitori division had significantly larger fat-free mass index scores in comparison with wrestlers from the lower divisions who share a common area of the chart. The cut-off point of fat-free mass index which divided Sekitori wrestlers from other wrestlers is approximately 30 and this value may be one of the anthropometrical indications of whether or not a Sumo wrestler is destined to be successful.

Body Composition and Lean Body Mass Index for Japanese College Students.

Lean body mass (LBM) and fat mass (FM) are two major components of body composition and when totalled equal body mass. Body mass index (BMI) as represented by weight/height2, has proven to be both a simple and valid way of assessing body composition. However, the significance of the index is not clear since body weight is composed of two main components: LBM and FM, each of whose densities show distinct differences.In order to present the body constitution as clear quantitative measures, the lean body mass index (LBMI; LBM/height2), fat mass index (FMI; FM/height2) and a chart system (body composition chart) are introduced in this study. Through this chart system, we can detect the relative amount of the two major body constructs and differentiate subjects into adipo-muscular, lean-muscular, adipo-atrophy and lean-atrophy types.