Regional adiposity, body composition and central body fat distribution of 10-16 years old Bengalee boys of Nimta, North 24 Parganas, West Bengal, India

A cross-sectional study of 502 Bengalee boys aged 10-16 years of Nimta, North 24 Parganas, West Bengal, India, was undertaken to study regional adiposity, body composition and central body fat distribution. The subjects were classified into seven age groups: 10-10.9 years (n = 74), 11-11.9 (n = 53), 12-12.9 (n = 87), 13-13.9 (n = 116), 14-14.9 (n = 58), 15-15.9 (n = 57), 16-16.9 (n = 57). In general, there was a significant linear increasing trend from 10 to 16 years for all the anthropometric variables. There was a net increase of 30.5 cm and 22.8 kg in mean height and weight, respectively, between 10 and 16 years of age. Mean BMI increased by 3.7 kg/m2 during the same period. Among circumferences, the largest increase was in hip followed by chest while the smallest increase was in mid upper arm, between 10 and 16 years of age. Subscapular skinfold showed the largest increase followed by abdomen and suprailiac skinfolds, while the increase was least in forearm skinfold. Significant linear increasing trend was observed for all the body composition measures. The largest increase in percent of body fat (PBF) was observed between ages 10 and 11 years while mean fat mass (FM), fat free mass (FFM) and fat mass index (FMI) increased the most between 14 to 15 years. However, an overall decreasing trend was observed, in mean waist-to-hip ratio (WHR) from 10 to 16 years. Boys aged 10 years had the highest mean WHR while those aged 15 years had the lowest mean WHR. There was an increase in mean WHR among 16 years old boys.     

Age variations in adiposity and body fat composition among older Bengalee Hindu women of Calcutta, India

A cross-sectional study of 279 older (50+ years) urban Bengalee Hindu women was undertaken to study age variations in adiposity, body composition, obesity and central fat distribution. The women were divided into three groups: Group I (G I, 50-59 years), Group II (G II, 60-69 years) and Group III (G III, 70+ years). A significant decreasing age trend was observed in adiposity and body fat composition measures. Women in G I had significantly higher means compared with those in G III. Individuals in G II had intermediate values. However, there was no significant age trend in muscle measures and indices of central body fat distribution. The results revealed that significantly more women in G III (45.8%) were malnourished (BMI < 18.5), while significantly more women in G I (28.7%) were obese (BMI > or = 25). The levels of malnourishment (21.6%) and obesity (24.5%) in G II were intermediate between G I and G III. Age had significant negative correlations with measures of adiposity and body fat composition. Regression analysis revealed that age had significant negative effect on these anthropometric measures. This significant negative impact of age remained even after controlling for the effect of BMI. In conclusion, the present investigation revealed that among older Bengalee Hindu women, there is a significant inverse age trend in adiposity and body fat composition, which is independent of overall adiposity (BMI). However, with ageing, muscle and central body fat distribution remain the same. Furthermore, with increasing age, there is a trend of increasing levels of malnourishment and decreasing levels of obesity.     

Relationship of family income and house type to body mass index and chronic energy deficiency among urban Bengalee male slum dwellers of Kolkata, India

A cross-sectional study of 469 adult (>18 years) Bengalee male slum dwellers of Dum Dum, Kolkata, India, was undertaken to study the relationships of family income and house type with body mass index (BMI) and chronic energy deficiency. The overall frequency of chronic energy deficiency was 32.0%. Based on the World Health Organization classification, the prevalence of chronic energy deficiency among this population was high and thus the situation is serious. Overall, monthly family income was significantly positively correlated with BMI. Significant differences in mean weight, BMI and monthly family income, were observed between the two house type groups. All values were found to be significantly higher in the brick household group who also earned a comparatively higher income as evident from the mean monthly family income values. The prevalence of chronic energy deficiency was also found to be significantly higher in the bamboo-fenced household group. Subjects belonging to the lowest family income group had the lowest mean BMI and the highest rate of chronic energy deficiency while those in the highest family income group had the largest mean BMI and lowest rate of chronic energy deficiency. There was a significant family income group difference in mean BMI. There existed significant differences in chronic energy deficiency rates in family income group categories. Linear regression analyses showed that monthly family income and house type had a significant impact on BMI. Subsequent multiple regression analyses revealed that both monthly family income and house type had a significant impact on BMI, even after controlling for each other.     

Age trends in anthropometric characteristics among 6-9 years old Bengalee Hindu school girls of Kolkata, India

A cross-sectional study of 431 6-9 years old urban Bengalee Hindu schoolgirls of Kolkata, India, was undertaken to study age trends in anthropometric characteristics including regional and subcutaneous adiposity. The anthropometric variables measured included height, weight, sitting height (SH), waist (WC), hip (HPC), thigh (TC), mid-upper arm (MUAC) and medial calf (MC) circumferences as well as triceps (TSF), biceps (BSF), subscapular SUBSF), suprailliac (SUPSF) and medial calf (MCASF) skinfolds. The results revealed, that there was a significant increasing age trend for all the anthropometric variables including the two derived variables: body mass index (BMI) and subischial leg length (SLL). For all variables, the lowest and the highest means were observed at the age of 6 and 9 years, respectively. The maximum increase in weight, BMI, all linear measurements, WC and HPC were observed during the period 6-7 years of age. In general, all skinfolds recorded similar yearly increments. More importantly, this study clearly indicated that among Bengalee girls aged 6-9 years, the highest amount of linear growth (height, SH and SLL) was observed at 6 years of age. The overall adiposity (BMI) also recorded the maximum increment during this period. The unique data presented here can be used as reference values for urban Bengalee Hindu girls aged 6-9 years.     

Adiposity,central body fat distribution and blood pressure among young Bengalee adults of Kolkata,India: sexual dimorphism

A cross-sectional study of 174 men and 153 women of Bengalee ethnicity was undertaken to compare levels of adiposity, central body fat distribution and blood pressure. The mean age of both the sexes were similar (men = 20.1 years; women = 20.0 years). Significantly more women (n = 42, 27.5%) were overweight (body mass index, BMI > or = 25.0 kg/m2) as compared with men (19, 10.9%). Men were significantly taller and heavier. They also had significantly greater mean waist (WC) and mid upper arm (MUAC) circumferences compared with women. On the other hand, women had significantly (p < 0.001) greater mean BMI, biceps (BSF), triceps (TSF) and subscapular (SSF) skinfolds. The mean values of systolic (SBP), diastolic (DBP) and mean arterial (MAP) blood pressure were significantly greater among men. These significant differences existed even after controlling for BMI. Regression analyses revealed that sex had significant effect on all these variables even after controlling for BMI. Correlation studies showed that WC was found to be much more strongly correlated than BMI with SBP, DBP and MAP, in both sexes. However, when the effect of WC (along with BMI) was also controlled for, there was no significant sex difference in blood pressure.     

Age and sex variation in measures of body composition among the elderly Bengalee Hindus of Calcutta, India

In the present cross-sectional study we examined 332 (171 men and 161 women) elderly (60 years and above) urban Bengalee Hindu resident in south Calcutta, India. Individuals were selected by random sampling procedure using local voter's registration list. Skin folds measures were used to compute body composition measures among them. There existed significant sex differences in various anthropometric body composition measures. Age had significant (p < 0.001) negative association with all anthropometric body composition measures namely percentage of body fat (PBF), fat mass (FM), arm muscle circumference (AMC), arm muscle area (AMA) and arm fat area (AFA) in both sexes. Fat free mass (FFM) in contrast had negative but not significant age impact. Regression analyses demonstrated that age had explained substantial amount of variance of PBF (men = 32%; women = 18.2%), FM (men = 18.2%; women = 12.8%), AMC (men = 23.4%; women = 19.2%), AMA (men = 22.2%; women = 10.2%) and AFA (men = 34%; women = 31%) in both sexes. Two-way ANOVA revealed age-sex interaction only had significant effect on FFM. The present investigation vindicated that there is a significant inverse age trends in anthropometric body composition measures among the Bengalee Hindus. Moreover, there existed sexual dimorphism in the effect of age on various anthropometric body composition measures.     

Brief communication: Body mass index,body adiposity index,and percent body fat in asians

Human obesity is a growing epidemic throughout the world. Body mass index (BMI) is commonly used as a good indicator of obesity. Body adiposity index (BAI = hip circumference (cm)/stature (m)^1.5 ? 18), as a new surrogate measure, has been proposed recently as an alternative to BMI. This study, for the first time, compares BMI and BAI for predicting percent body fat (PBF; estimated from skinfolds) in a sample of 302 Buryat adults (148 men and 154 women) living in China. The BMI and BAI were strongly correlated with PBF in both men and women. The correlation coefficient between BMI and PBF was higher than that between BAI and PBF for both sexes. For the linear regression analysis, BMI better predicted PBF in both men and women; the variation around the regression lines for each sex was greater for BAI comparisons. For the receiver operating characteristic (ROC) analysis, the area under the ROC curve for BMI was higher than that for BAI for each sex, which suggests that the discriminatory capacity of the BMI is higher than the one of BAI. Taken together, we conclude that BMI is a more reliable indicator of PBF derived from skinfold thickness in adult Buryats. Am J Phys Anthropol 152:294–299, 2013. © 2013 Wiley Periodicals, Inc.     

The relationship of age, body mass index and waist circumference with blood pressure in Bengalee Hindu male jute mill workers of Belur, West Bengal, India

A cross-sectional study of 150 adult Bengalee Hindu male jute mill workers of Belur, a suburb of Kolkata, West Bengal, India, was undertaken to study the relationship of age, body mass index (BMI) and waist circumference (WC) with systolic (SBP), diastolic (DBP) and mean arterial (MAP) blood pressure. The mean age and the BMI of the subjects were 40.7 years (S.D. = 15.2) and 23.2 kg/m2 (S.D. = 3.2), respectively. The mean SBP, DBP and MAP were 124.7 mmHg (S.D. = 7.8), 81.5 mmHg (S.D. = 5.7) and 95.9 mmHg (S.D. = 6.1), respectively. Age had similar significant (p < 0.001) correlations with BMI and WC. Age and WC were significantly correlated (p < 0.001) with all the three blood pressure variables. In general, the correlations of BMI with SBP (r = 0.24, p < 0.01), DBP (r = 0.15, n.s.) and MAP (r = 0.19, p < 0.05) were weaker. Age controlled multiple regression analyses demonstrated that BMI did not have a significant effect of any blood pressure variable. However, WC had a significant impact (p < 0.0001) on SBP (t = 7.068), DBP (t = 5.190) and MAP (t = 6.387), even after adjusting for the effect of age. Moreover, even after age adjustment, percent variations in SBP (20.7%), DBP (12.5%) and MAP (17.2%) explained by WC were high. This significant impact (p < 0.0001) of WC on SBP (t = 9.426), DBP (t = 8.349) and MAP (t = 9.642) remained even after controlling for the combined effects of age and BMI.     

Changes in body size, shape and nutritional status of Middle-Class Bengali boys of Kolkata, India, 1982–2002

Growth changes over time among school-aged boys in Kolkata, India, have been investigated using two surveys: 1982--1983 (n=816) and 1999--2002 (n=1187). The two surveys were implemented according to highly similar protocols which strongly adds to the reliability and accuracy of the results of the study. Age-specific average height, weight and BMI all increased during these two decades (by respectively, 3.2cm, 6.1kg and 2.1kg/m2), while relative sitting height and sitting height-subischial leg length ratio decreased for almost all ages between 7.0 and 16.0 years. Moreover, the prevalence of stunting and thinness declined (stunting from 11.2% to 4.9%, p<0.01, thinness from 50.5% to 22%, p<0.01), while the prevalence of overweight increased (from 4.7% to 17.2%, p<0.01). Through analysis of variance, the relationships between various socio-economic factors and anthropometric traits are analyzed. Factors strongly related with positive changes in anthropometric traits are maternal education and family expenditure.     

Impact of social class on body fatness among rural pre-school Bengalee Hindu children of Arambagh, West Bengal, India

Body composition is a useful marker for assessing the adiposity of an individual. The amount of body fat (BF) differs with age, sex, environmental conditions and genotype, and is a good indicator of the health and nutritional status of a community. As the subcutaneous fat serves as a reservoir for energy during nutritional deprivation, lower BF in comparison with other studies indicates a lower energy intake by those children, who are affected by their lower socio-economic status. The objective of the present study was to evaluate the impact of socio-economic class, after allowing for sex and age, on body fatness among rural pre-school children of Bengalee Hindu ethnicity of Arambagh, West Bengal, India. The present study was undertaken at 20 Integrated Child Development Services (ICDS) scheme centers in Bali Gram Panchayat, Arambagh, Hooghly District of West Bengal, India. A total of 1012 boys and girls (aged 2-6 years) living in these areas were studied. The children were classified into two groups based on their social class: Schedule Castes (SC) and Non-Schedule Castes (NSC). In general, SC comprise socio-economically and educationally deprived individuals. Three-way analysis of variance was used to assess the effect of ethnicity on mid-upper arm circumference (MUAC) and sum of skinfolds (SS), allowing for age and sex. There was an increasing age trend in both these variables in both sexes in the two groups. All three factors had a significant effect on MUAC, whereas only age and social class had a significant impact on SS. In the case of MUAC, only one second order interaction (sex-age) was significant. In conclusion, we found that after controlling for age and sex, children belonging to the SC group had lower body fatness. These results implied that they were under more nutritional stress. There was also some evidence that at the early ages, girls belonging to the SC group probably received inadequate nutrition and as a result had lower body fat.     

The relative body fat and anthropometric prediction of body density of South Australian females aged 17-35 years

One hundred and thirty-five females were tested in order to: produce some normative percentage body fat (% BF) data on an Australian sample which represented a cross-section of physical activity patterns, cross-validate existing multiple regression equations which predict body density (BD) from anthropometric measurements, and if necessary develop population specific equations. Measurements were taken of 10 girths, 3 widths and 7 skinfolds. Body density was measured by underwater weighing with the residual volume (RV) being determined by helium dilution. The Siri equation was then used to convert BD to % BF. The % BF scores had an overall mean of 23.4 (range 10.8-49.2). The very active group (n = 45) had a significantly lower (p less than 0.05) relative body fat (X = 20.6% BF) than either the active (n = 45; 23.5% BF) or sedentary groups (n = 45; 26.2% BF). Previously published equations were found to have limited applicability to Australian subjects. A stepwise multiple regression was therefore used to develop the following equation (R = 0.893): BD(g X cm-3) = 1.16957-0.06447 (log10 sigma triceps, subscapular, supraspinale, front thigh, abdominal and calf skinfolds in mm)-0.00081 (gluteal girth in cm) + 0.0017 (forearm girth in cm) + 0.00606 (biepicondylar humerus breadth in cm). Only those predictors which resulted in a statistically significant increase in r (p less than or equal to 0.05) were included. The standard error of estimate of 0.00568 g X cm-3 was equivalent to 2.6% BF at the mean.     

Age and sex variation of body mass index and waist circumference among the Santal children of Jharkhand, India

Central body fat (CBF) as measured by waist circumference (WC) etc. has now been considered as risk factor for chronic disease, disability, and death. It has been assumed that one's characteristic level of body fat, as measured by body mass index (BMI), and CBF unfolds during the normal course of growth and development. However, studies of the development of CBF show relatively weak consistency in comparison to body fat. But to the best of our knowledge, no study in this aspect has been undertaken on any Indian population to study the effect of age and sex on body fat and CBF during development. In view of the above consideration, the present work has been undertaken among 179 Santal (a tribal population) children (Boys = 107, Girls = 72) of the Galudih area in East Singbhum, Jharkhand, India. Anthropometric measurements of height, weight, and circumference of waist were taken from each subject using standard procedure. The mean ages of boys and girls were 10.94 years and 9.48 years, respectively. The mean BMI for boys and girls were 14.48 kg/m2 and 13.78 kg/m2 Percent of variance explained by age was much greater for BMI (> 50%) as compared to WC (7-10%) in both sexes. Two way ANOVA showed that BMI had a significant (p < 0.05) effect of age and not of sex, whereas age-sex interaction had a significant impact on WC. The results of the present cross-sectional study indicated that during growth and development unfolding of CBF and BMI is independent of one another. Different set(s) of gene(s), onset of growth hormones during the normal development or their interaction could have been considered for this differentiation.     

Validity of the body mass index and fat mass index as an indicator of obesity in children aged 3-5 year

The validity of the BMI and fat mass index (FMI) as indicators of obesity was evaluated in a group of 3-5 yr old (n=486) children. Bioelectrical impedance analysis (BIA) was measured (using 50 kHz and tetrapolar electrodes) in order to calculate percent fat mass (%FM) and FMI (fat mass/stature squared). For boys, obesity was defined as > or =20%FM. For girls, the cutoff for obesity was > or =25%FM. However, obesity was defined as a BMI at or above the 90th percentile of age- and sex-specific data in this study. The percentile cutoffs for FMI were the same as for BMI using the same sample. There were correlations between BMI or FMI and %FM, but there was no significant correlation between BMI or FMI and stature. Therefore, it appears that both the BMI and FMI in this study are far more useful indices with which to assess obesity, and are reasonable indicators of fatness. However, with the use of %FM by BIA as the criterion for obesity, BMI and FMI had high specificities (95.5-96.4% for BMI and 99.5-100% for FMI) and lower but variable sensitivities (30.4-37.5% for BMI and 42.9-68.8% for FMI). Thus, almost all children who were not obese were classified correctly. In contrast, many obese children were not correctly identified by BMI and FMI. Therefore, we conclude that BMI should be used with caution as an indicator of childhood obesity. The new recommendations based on the FMI approach for defining childhood obesity are associated with a level of sensitivity that is somewhat higher than that of the BMI approach. Caution should, however, be used in generalizing from the findings in this study, and a further investigation of the issue is required.     

Measuring adiposity in patients: the utility of body mass index (BMI), percent body fat, and leptin

Background

Obesity is a serious disease that is associated with an increased risk of diabetes, hypertension, heart disease, stroke, and cancer, among other diseases. The United States Centers for Disease Control and Prevention (CDC) estimates a 20% obesity rate in the 50 states, with 12 states having rates of over 30%. Currently, the body mass index (BMI) is most commonly used to determine adiposity. However, BMI presents as an inaccurate obesity classification method that underestimates the epidemic and contributes to failed treatment. In this study, we examine the effectiveness of precise biomarkers and duel-energy x-ray absorptiometry (DXA) to help diagnose and treat obesity.

Methodology/Principal Findings

A cross-sectional study of adults with BMI, DXA, fasting leptin and insulin results were measured from 1998–2009. Of the participants, 63% were females, 37% were males, 75% white, with a mean age = 51.4 (SD = 14.2). Mean BMI was 27.3 (SD = 5.9) and mean percent body fat was 31.3% (SD = 9.3). BMI characterized 26% of the subjects as obese, while DXA indicated that 64% of them were obese. 39% of the subjects were classified as non-obese by BMI, but were found to be obese by DXA. BMI misclassified 25% men and 48% women. Meanwhile, a strong relationship was demonstrated between increased leptin and increased body fat.

Conclusions/Significance

Our results demonstrate the prevalence of false-negative BMIs, increased misclassifications in women of advancing age, and the reliability of gender-specific revised BMI cutoffs. BMI underestimates obesity prevalence, especially in women with high leptin levels (>30 ng/mL). Clinicians can use leptin-revised levels to enhance the accuracy of BMI estimates of percentage body fat when DXA is unavailable.     

Body Mass Index and Chronic Energy Deficiency Among Urban Bengalee Male Slum Dwellers of Kolkata, India: Relationship with Family Income

A cross-sectional study of 191 adult (>18 years) Bengalee male slum dwellers of Kolkata, India, was undertaken to study the relationships of family income with body mass index (BMI) and chronic energy deficiency (CED). Results revealed that the mean height, weight, and BMI of the subjects were 162.2 cm, 54.0 kg, and 20.5 kg/m², respectively. The overall frequency of CED (BMI < 18.5 kg/m²) was 33.5%. Based on the World Health Organization classification, the prevalence of CED among this population was high (20–39%) and thus the situation is serious. Overall, monthly family income (MFI) was significantly positively correlated (r = 0.18, p < 0.05) with BMI. Linear regression analyses showed that MFI had significant impact (p < 0.05) on BMI. The percent variation in BMI explained by MFI was 2.6%. Subjects belonging to the lowest family income group (FIG) had the lowest mean BMI (19.5 kg/m²) and the highest rate of CED (46.6%) while those in the highest FIG had the largest mean BMI (21.4 kg/m²) and lowest rate of CED (23.1%). There was a significant FIG difference (F = 2.965, p < 0.05) in mean BMI. Moreover, there existed FIG differences (χ ² = 7.54, p < 0.06) in CED rates. In conclusion, this study provided strong evidence that FIG was significantly associated with BMI and the presence of CED. The rate of CED was high, indicating a serious situation. These findings may have severe public health implications. It is recommended that immediate nutritional intervention programs be initiated among this population along with serious efforts to increase their family income.     

Relationship of body mass index and fitness levels among schoolchildren

Childhood obesity is an epidemic in the U.S.A., and understanding aspects of fitness is critical in implementing effective interventions. The purpose of this study was to analyze the relationship of obesity levels with the fitness levels of public school children in Louisiana. Over 7,000 school children participated in body mass index (BMI) and Fitnessgram? subtests including the Progressive Aerobic Cardiovascular Endurance Run (aerobic capacity), curl-ups, trunk lifts, push-ups (strength and endurance), and shoulder stretches (flexibility). The fitness measures and BMI were analyzed using chi-square and logistic regression to test for any significant relationships. The results indicated that the participants with healthy BMIs have the highest levels of physical fitness. The differences between the fitness levels of obese and healthy children were statistically significant. This study demonstrated a direct relationship between BMI status and fitness levels as measured by the Fitnessgram? among study participants. This finding is not exceedingly surprising, as common sense tells us that the heavier a person is, the less likely he or she is to be physically fit. However, this study is an important first step in understanding weight issues in children. This information can be used to develop data-driven interventions to assist children in becoming healthier and more physically fit.