Anthropometric markers and their cut-off point for the prediction of hypertension with lifestyle as a risk factor among Chiru tribe of North East India.

BACKGROUND: The increased prevalence of obesity, particularly central obesity, is closely associated with many metabolic complexions, including hypertension and diabetes. OBJECTIVES: The present study investigates the cut-off points of some anthropometric measurements such as body mass index [BMI (kg/m2)], waist circumference [WC (cm)], waist-hip ratio (WHR), and waist-height ratio (WHtR) associated with high blood pressure. It determines the risk factors among the Chiru tribe of North East India. METHODS: The cross-sectional study was conducted in four villages in the hilly districts of Manipur. For the present study, 416 Chiru adults (209 males and 207 females) aged 20-79 years were included. Anthropometrics and blood pressure were measured using standard procedures. Statistical methods such as chi-square, Pearson correlation, and multivariate logistic regression were employed. RESULTS: The result indicates that the cut-off values to detect hypertension were 21.83 for BMI, 82.55 for WC, 0.92 for WHR, and 0.53 for WHtR. However, the cut-off values to detect hypertension in females were 23.92 for BMI, 86.48 for WC, 0.94 for WHR, and 0.55 for WHtR. Multivariate logistic regression analysis indicated that hypertension was an independently associated risk factor in both males and females with an age ≥ 50 years (OR = 18.52 and 10.12), physical activity (OR = 0.10 and 0.21), salt intake (OR = 7.81 and 3.36), and smoking (OR = 2.56 and 3.23), respectively. CONCLUSION: It has been concluded that BMI, WC, WHR, and WHtR values can determine hypertension risk in the Chiru population. Age, smoking, physical activity, and salt intake were independent risk factors associated with high blood pressure.

Assessment of Body Frame Size by Elbow Breadth and Frame Index and Its Relation to Body Composition Parameters among Tribal Preschool Children in West Bengal, India.

SUMMARY: In children, body frame size estimation is used to interpret body mass and evaluate growth patterns. The present study aims to assess the body frame size by elbow breadth and frame index and its relation to body composition parameters among tribal preschool children (1-5 years of age). In the present study, 848 preschool children (430 boys and 418 girls) were included. The mean elbow breadth showed an increasing trend with increasing age, but inverse results were observed in the case of frame index. Age-wise, statistically significant sex differences were found in mean elbow breadth and frame index (except for 2 years of age). Boys show higher mean elbow breadth and frame index in all age groups, and significant sex differences were found. Elbow breadth and frame index had the strongest significant positive correlations with fat free mass (FFM) (r = 0.590, P < 0.01) and FFM index (r = 0.539, P < 0.01), respectively.

Ethnic heterogeneity in body composition patterning and CVD risk factors: a multi-ethnic study of Asian Indian Tribes.

BACKGROUND: Indian subcontinent exhibits considerable degree of ethnic heterogeneity in cardiovascular disease (CVD) risks. Given the importance of ethnicity, the present multi-ethnic study was conducted to find out the differences in body composition patterning and its influence on CVD risk variables. OBJECTIVE: Owing to considerable ethnic heterogeneity among Asian Indians the study was performed to determine the association of variability between body composition and CVD risk factors at the micro-level among different tribes by sex, province, and generation. METHODS: Nine tribes from three different states (provinces) were considered. Anthropometric measurements, body composition, adiposity, blood pressure, and fasting blood glucose was measured using standard technique. Body composition was measured using BIA method by means of body fat monitor. Mean differences of the body composition measures were analysed by ANOVA. Stepwise multiple regressions were done with CVD risk variables as dependent and body composition profiles as independent variables to find out the significant predictors. Those were then loaded for principal component factor analyses (PCFA). RESULTS: Tribal subjects of both sexes and from both younger and older generations in Gujarat had significantly higher percentage body fat, subcutaneous fat-whole body, and subcutaneous fat-trunk as compared to tribal subjects of Odisha, and West Bengal, as well as significantly lower skeletal mass-whole body and skeletal mass-trunk. PCFA showed two components: (i) percentage body fat with muscle mass; and (ii) visceral fat with resting metabolism. These two components cumulatively explained 80-90% of the total variance associated with CVD risk variables, across the nine tribes. CONCLUSION: Tribal subjects of Gujarat had higher CVD risks with significantly higher fat mass and lower muscle mass followed by the tribal subjects of Odisha, and West Bengal respectively. The younger generation are equally at risk as their older counterparts. The CVD risks are developing at a much faster rate resulting in a serious public health threat, even in traditional societies. Body composition measures could be considered as a better non-invasive technique for early intervention and proper risk management among the Asian Indians in general and tribal populations in particular.

Mother's education level is associated with anthropometric failure among 3- to 12-year-old rural children in Purba Medinipur, West Bengal, India.

Maternal education plays a central role in children's health and nutrition. Living conditions and socioeconomic status are linked with mother's education, which in turn determines the health and development of a child. The Composite Index of Anthropometric Failure (CIAF) is a single indicator that reflects overall rate of three conventional indices of undernutrition: underweight, stunting and wasting. The study was undertaken among 621 rural Bengalee children (308 boys and 313 girls) aged 3-12 years from the Purba Medinipur district of West Bengal, India. Height (cm) and weight (kg) were recorded and NCHS standard values used to calculate z-scores (<-2SD). The same data were used to calculate CIAF as an indicator of 'anthropometric failure' (AF) or undernutrition. The prevalence of AF among the children was 59.40%. Chi-squared analysis was employed to evaluate the significance of differences in the prevalence of CIAF between the sexes and the association between nutritional indicators and socioeconomic parameters in the two sexes. Multiple binary logistic regression (MBLR) analyses (including the forward stepwise method) were also performed. Odds ratios with 95% confidence intervals were used to assess the risk of having AF. Results showed that mother's education was significantly associated with undernutrition (AF) controlling for the other factors considered. A very high prevalence of undernutrition is persisting in this region of India despite national nutritional supplementation programmes being operational. More attention to the improvement of living conditions and hygiene, and more particularly the education of women, in this population might be effective in attaining improved child growth and health.

Global mid-upper arm circumference cut-offs for adults: a call to action.

Since 2009, mid-upper arm circumference (MUAC) has become an accepted measure for screening children for acute malnutrition and determining eligibility for services to manage acute malnutrition. Use of MUAC has increased the reach and enhanced the quality of community-based management of acute malnutrition services. Increasingly, MUAC is also used to assess nutritional status and eligibility for nutrition support among adolescents and adults, including pregnant and lactating women and HIV and TB clients. However, globally recognised cut-offs have not been established to classify malnutrition among adults using MUAC. Therefore, different countries and programmes use different MUAC cut-offs to determine eligibility for programme services. Patient monitoring guidelines provided by WHO for country adaptation to support the integrated management of adult illness do not include MUAC, in part because guidance does not exist about what MUAC cut-off should trigger further action.

Determining a global mid-upper arm circumference cut-off to assess underweight in adults (men and non-pregnant women).

OBJECTIVE: To determine if a global mid-upper arm circumference (MUAC) cut-off can be established to classify underweight in adults (men and non-pregnant women). DESIGN: We conducted an individual participant data meta-analysis (IPDMA) to explore the sensitivity (SENS) and specificity (SPEC) of various MUAC cut-offs for identifying underweight among adults (defined as BMI < 18·5 kg/m2). Measures of diagnostic accuracy were determined every 0·5 cm across MUAC values from 19·0 to 26·5 cm. A bivariate random effects model was used to jointly estimate SENS and SPEC while accounting for heterogeneity between studies. Various subgroup analyses were performed. SETTING: Twenty datasets from Africa, South Asia, Southeast Asia, North America and South America were included. PARTICIPANTS: All eligible participants from the original datasets were included. RESULTS: The total sample size was 13 835. Mean age was 32·6 years and 65 % of participants were female. Mean MUAC was 25·7 cm, and 28 % of all participants had low BMI (<18·5 kg/m2). The area under the receiver operating characteristic curve for the pooled dataset was 0·91 (range across studies 0·61-0·98). Results showed that MUAC cut-offs in the range of ≤23·5 to ≤25·0 cm could serve as an appropriate screening indicator for underweight. CONCLUSIONS: MUAC is highly discriminatory in its ability to distinguish adults with BMI above and below 18·5 kg/m2. This IPDMA is the first step towards determining a global MUAC cut-off for adults. Validation studies are needed to determine whether the proposed MUAC cut-off of 24 cm is associated with poor functional outcomes.

The validity of mid-upper arm circumference as an indicator of low BMI in population screening for undernutrition: a study among adult slum dwellers in eastern India.

OBJECTIVE: To explore the possibility for a statistically appropriate value of mid-upper arm circumference (MUAC) to identify the state of severe undernutrition, based on very low BMI, among adult Indian slum dwellers. DESIGN: Cross-sectional study on adults. Height and MUAC were recorded and BMI was computed. Chronic energy deficiency (CED) was determined using the WHO international guidelines as BMI<18·5 kg/m2 and normal as BMI≥18·5 kg/m2. Besides calculating mean, sd and 25th, 50th and 75th percentile values, multiple linear regression analysis was undertaken to assess the associations between age, MUAC and BMI. Receiver-operating characteristic curve analysis was performed to determine the best MUAC cut-off to identify CED status. The χ 2 test was used to assess significance of the difference in CED prevalence across MUAC categories. SETTING: An urban slum in Midnapore town, West Bengal State, India. SUBJECTS: Male (n 467) and female (n 488) Indian slum dwellers. RESULTS: MUAC of 22·7 and 21·9 cm, respectively, in males and females were the best cut-off points to differentiate CED from non-CED. CONCLUSIONS: Results supported the validity of the WHO-recommended MUAC cut-offs for adults. There is still a need to establish statistically appropriate MUAC cut-offs to predict undernutrition and morbidity.

Sibling composition and household room sharing are associated with menarcheal status among rural Bengalee girls of West Bengal, India.

Menarche, the first menstruation, is one of the most important events in a woman's reproductive life. The timing of menarche varies across populations and depends upon social interaction and family environment. It is also associated with several biological as well as social factors. The objective of this study was to explore the relationship between sibling composition and age at menarche (AAM) and to assess the association between the pattern of room sharing with family members of different sexes and menarcheal occurrence among rural Bengalee girls from West Bengal, India. The total sample comprised 577 Bengalee girls, 6-17 years of age, from various schools and madrasas in two blocks of the Nadia District of West Bengal State in India. The effects of room sharing on the occurrence of menarche, and of sibling composition on the menarcheal age, were assessed by analyses of covariance. The room-sharing pattern had a significant effect on menarcheal status (yes÷no): a significantly higher percentage of girls who shared a room with the mother and÷or sisters were postmenarcheal compared with those who shared a room with male family members. AAM did not differ significantly between girls having brothers or sisters. However, sibling order had a significant impact on AAM. Girls who had a younger sibling only (brother or sister) had a higher mean AAM, and girls who had both younger brothers and younger sisters had significantly higher mean AAM, than did the girls who had no younger sibling (singletons or having only elder siblings). There was no difference in AAM between the girls who had younger sister(s) and those who had younger brother(s). These differences were also independent of body mass index. In conclusion, the room sharing characteristics and the sibling sex composition, particularly their order, had significant effect on menarche in adolescent rural Bengalee girls.

Nutritional status of tribal and non-tribal adults in rural Bangladesh: A comparative study.

BACKGROUND: Nutritional status is an important indicator of health status among adults. However, to date, there exists scanty information on the nutritional status of tribal populations of Bangladesh. The aim of the study was to investigate the nutritional status of tribal (T) and non-tribal (NT) adult people living in the rural area of Rajshahi district, Bangladesh. METHODS: A total of 420 (72 T and 348 NT) households were studied. The samples were selected using multistage stratified sampling with proportional allocation. The nutritional status of adults was measured using body mass index (BMI). Descriptive statistics, t-test, ANOVA and Z-proportional test were utilized for data analysis. RESULTS: The study revealed that 8.3% and 9.2% of T and NT men were suffering from under nutrition respectively, while the corresponding figures in women were 12.5% and 10.1% respectively. Overall, 11.1% and 27.0% men, and 13.9% and 29.3% women T and NT were over-nourished respectively. The rate of over nutrition among T was significantly (p<0.05) higher than NT for both sexes. The mean weight and BMI of the NT men were significantly (p<0.01) higher than T men. The mean weight, height and BMI of NT women were higher (p<0.05) than T women. ANOVA demonstrated that the variation in BMI among education levels of NT men and the variation among occupation for both ethnicities were significant (p<0.01). The variation in BMI among education levels and occupation of T and NT women were significant (p<0.05), moreover ordinal logistic regression model demonstrated that hygienic toilet facilities and father's occupation were predictors of nutritional status. The interaction effects of education and occupation, and education and household monthly income on BMI were significant (p<0.01) for T men and both T and NT women (p<0.05). CONCLUSIONS: The prevalence of over-nutrition among NT is higher than T for both sexes. Some socio-economic and demographic factors were found as predictors of malnutrition. At least 12 of the 17 Sustainable Development Goals (SDGs) contain indicators that are highly related to nutrition, our findings can help Bangladesh Government for achieving SDGs by 2030. Appropriate nutritional intervention and awareness programmes can be initiated by the Government to ameliorate the burden of malnutrition among adults in the country.

Dealing with infodemic during COVID-19 pandemic: Role of effective health communication in facilitating outbreak response & actions - An ICMR experience.

Objectives: To highlight and assess the impact of intervention tools used by Indian Council of Medical Research (ICMR) against COVID19 associated infodemic in the world's largest democratic country, India. Study design: It is a retrospective cross sectional study. The impact of ICMR's multi-pronged strategy to address the infodemic during pandemic has been assessed through analysis of print media reportage and social media engagements. Methods: The impact of the interventions was assessed using cloud media mappers like MediaCloud and Meltwater using keywords. The data was analysed in terms of reportage, theme of reportage. A sub-section of media reportage (Feb 2020-June 2020) was analysed in details from 4 major dailies to understand the coverage and tonality of media reports. The data on COVID 19 related tweets, posts and uploads were taken from social media platforms of Indian Council of Medical Research (ICMR) particularly twitter, instagram, facebook and youtube and estimate of pre and post pandemic changes in followers or users were collected for analysis. The data was curated and analysed using MS excel. Results: There was a surge of 3800% reportage in media during pandemic as compared to same time frame in pre-pandemic times. A surge of followers on twitter from 26,823 on Feb 2020 (before pandemic) to 3,36,098 at March 2022 (after pandemic) was observed. A drastic increase in monthly followers was observed after start of Pandemic (after Feb 2020) in comparison to before pandemic (Before Feb 2020). Similar trends were observed on other social media platforms of ICMR. Conclusions: The Communications Unit at ICMR geared up with more robust plans and designed several interventions to mitigate the infodemic which helped in evidence based decision making towards outbreak response and action. This highlights the importance of evidence based, crisp, timely and effective communication during the epidemics/pandemics to buid trust and confidence in the community.

Nutritional assessment by mid-upper arm circumference of santal adults of Purulia, West Bengal, India.

The present community based cross-sectional study was undertaken to determine the prevalence of undernutrition using mid-upper arm circumference (MUAC) among adult (> 18 years) Santals of Purulia District, West Bengal, India. It was undertaken at 10 villages of the district. A total of 520 (217 males and 303 females) subjects were measured. Commonly used indicator i.e., MUAC and BMI, were used to evaluate the nutritional status of the subjects. More women (64.7%) then men (54.4%) based on MUAC and women (59.4%) then men (34.6%) based on BMI were undernourished. Significant sex difference both in MUAC (t=2.378, p<0.05) and BMI (t=4.971, p<0.001) were observed. Significant age group difference for MUAC was observed (F=8.93***, df=3) for men and (F=9.52***, df=3) for women. For BMI, these values were F=10.10*** (df=3) F=6.17*** (df=3) respectively. In conclusion, we found that adult Santals of both sexes were under critical nutritional stress, women and the oldest among them were the most.

Determinants of time-trends in exclusivity and continuation of breastfeeding in India: An investigation from the National Family Health Survey.

Breastfeeding is an essential key factor for reducing child mortality and the risk of disease. Therefore, to ensure health and wellbeing for all (Sustainable Development Goal 03), and to reduce inequalities in child health status (SDG 10), understanding the determinants of breastfeeding is essential. Our research aims to investigate determinants of different breastfeeding practices from 2005-06 (NFHS-3) to 2015-16 (NFHS-4), and changes in different breastfeeding practices among various demographic, social, religious, and economic groups during this decade. We have used a multivariate binary logistic regression model to estimate significant determinants of different breastfeeding practices. The results show an 8.4% hike in Exclusive Breastfeeding (EBF), along with a 3.3% and 1% drop in the Continuation of Breastfeeding (CBF) up to one and two years respectively during this decade in India. Significant variation has been found in EBF, CBF1 and CBF2 among various categories of child's birth interval, place of residence, social groups, economic communities, and geographic regions. Maternal nutritional status and anemia levels had significant influence on CBF1 and CBF2, and gender of the children on EBF and CBF2 from 2005-06 to 2015-16. There was no significant variation in CBF1 and CBF2 among children born in different birth orders, whereas EBF was significantly less among higher birth orders children. A dramatic improvement in EBF was found among first birth ordered children, teenage and/or highly educated mother, rich families, and in north India, and CBF2 was significantly raised only among higher educated mothers. The estimation of determinants throughout the decade is essential for improving government policies related to supporting and encouraging breastfeeding. The study suggests more initiatives and investment for the promotion, support and improvement of CBF for one and two years, and reduction of inequality among various demographic and socio-economic groups and geographic regions.

Waist circumference in determining obesity and hypertension among 18-60 years old Bengalee Hindu male slum dwellers in Eastern India.

BACKGROUND: Waist circumference (WC) has been previously shown to be the most efficient measure to explain variability in body mass index (BMI) and percentage body fat (PBF) in Bengalee males, including those under study. AIM: The objective was to evaluate the relative usefulness of WC and its single suitable value, if any, to identify both generalized obesity and hypertension in Bengalee men. SUBJECTS AND METHODS: This cross-sectional study included 433 adult (18-60 years) Bengalee Hindu slum dwelling men. Height, weight, waist circumference, systolic (SBP) and diastolic (DBP) blood pressures were measured. BMI was computed as weight (in kg) divided by height (in metres) squared. Hypertension (HT) was defined as SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg. A BMI ≥ 23 kg/m(2) and ≥ 25 kg/m(2) were considered overweight and obesity, respectively. Receiver operating characteristic (ROC) curve analyses were employed to determine the best cut-off points to define HT and overweight. RESULTS: Prevalence of HT, overweight and obesity were 17.6% and 20.1% and 8.3%, respectively. Prevalence of central obesity using the cut-offs of 102 cm, 90 cm and 80 cm were 0.46%, 5.08% and 24.7%, respectively. Both in obese and non-obese, WC ≥ 80 cm was significantly associated with higher SBP and DBP than WC < 80 cm. WC>79.4 cm and>80.3 cm were the most appropriate for detecting HT and overweight status. CONCLUSION: WC value of ~80 cm could efficiently discriminate both obesity and hypertension among the Bengalee Hindu slum dwelling men aged between 18-60 years. Central obesity, determined by WC ≥ 80 cm, was associated with increased blood pressure and higher risk of HT, independent of age and general obesity.

Effect of number of rooms and sibs on nutritional status among rural Bengalee preschool children from eastern India.

In developing countries including rural India, undernutrition among preschool children is one of the main barriers of the national development. However, there exists scanty information on the prevalence of underweight and stunting and their socio-demographic predictors among preschool children in India and West Bengal. The aim of the present study was to investigate the prevalence of underweight and stunting and the impact of two socio-demographic indicators, namely number of living rooms (NLR) and number of sibs (NS), on them among 1-5 year old Bengalee rural preschool children of Integrated Child Development Services (ICDS) Centres. This cross sectional study was undertaken at 30 randomly selected ICDS centre of Chapra Block, Nadia District, West Bengal, India. A total of 673 children, aged 1-5 years were studied. The overall (age and sex combined) rates of underweight and stunting were 54.40% and 39.20%, respectively. NLR was significantly associated with the prevalence of underweight (chi2 = 4.34, df = 1, p < 0.05) and stunting (chi2 = 8.98, df = 1, p < 0.01) among girls. Similarly, NS had a significant association with prevalence of underweight (chi2 = 10.29, df = 1, p < 0.001) and stunting (chi2 = 5.42, df = 1, p < 0.05) among girls. Girls with < 2 NLR had significant higher risk of being underweight (OR = 1.64, C.I = 1.30-2.62) or stunted (OR=2.23, C.I = 1.31-3.80) than those with > or = 2 NLR. Moreover, girls with > or = 3 NS had significant higher rate of underweight (OR = 2.03, CI = 1.32-3.146) or stunting (OR = 1.69, C.I = 1.09-2.63) than those with < 3 sibs. Logistic regression analyses also revealed that both NLR as well as NS were strong predictors of underweight (NLR: Wald = 4.30, p < 0.05; NS: Wald = 8.74, p < 0.001) and stunting (NLR: Wald = 10.17, p < 0.001; NS: Wald = 5.38, p < 0.05) among girls. Gender discrimination could be a likely cause for this sex difference in the impact of NRL and NS. Moreover, logistic regression were also undertaken with underweight and stunting status (yes/ no) as dependent variables and NLR and NS (combined) as independent variables to identify their effects, when considered together, on undernutrition. Results showed that NS had significant impact on underweight (Wald = 8.28, p < 0.001) rather than NLR among girls. Results also demonstrated that NLR had significant impact on stunting (Wald = 6.874, p < 0.01) rather than NS.

The effect of a natural disaster on handgrip strength in prepubertal Indian children exposed to a severe cyclone during the prenatal and early postnatal growth.

Natural disasters (NDs) experienced by women and their children during prenatal and infant growth may have long-lasting effects on offspring's development. Handgrip strength (HGS) is one of the measures of muscular strength and an indicator of health status. This study compared HGS in children exposed to cyclone Aila in India during their prenatal and infant growth compared to a control group from a non-affected, adjacent area. The total sample involved 444 boys and 423 girls aged 7-9 years, categorised into 3 groups: prenatally exposed to Aila, exposed to Aila in infancy, and the control group, non-exposed to Aila. Results revealed that prenatally exposed children of both sexes had significantly lower HGS than the controls (at least, p < 0.001 in boys; p < 0.05 in girls). On the other hand, the postnatally exposed boys, but not the girls, showed lower HGS than the controls. A significant effect of a group factor (ND exposure) on HGS was observed even after controlling for confounding variables (age, height, BMI, birth weight, gestational age; at least, p < 0.05). Our findings indicate that prenatal or early postnatal experience of a ND may have association with impaired HGS in prepubertal children.

Total body water and fat-free mass: evaluation of equations based on bioelectrical impedance analysis in infants and young children in India.

The association of early postnatal growth with diseases in adults such as hypertension, type 2 diabetes and CHD has generated interest in studying postnatal growth. Bioelectrical impedance analysis (BIA) is a useful measure to estimate total body water (TBW) and fat-free mass (FFM). We evaluated three published equations (Fjeld et al. (Pediatr Res (1990) 27, 98-102), Bocage (MSc Thesis (1988) University of West Indies) and Kushner et al. (Am J Clin Nutr (1992) 56, 835-839) to measure TBW and derived FFM based on BIA, using 2H2O dilution as a reference method for suitability in infants in India. In a cross-sectional study in seventy-eight apparently healthy infants aged 6-24 months from the urban poor attending an immunisation clinic at a hospital in Kolkata, we measured their length to the nearest 0.1 cm, weight to the nearest 10 g, resistance at 50 kHz using BIA and TBW using 2H2O dilution. TBW was derived using three published BIA-based equations and compared with TBW using 2H2O dilution. Based on the BIA equations of Fjeld et al., Bocage and Kushner et al., the mean TBW values were 2.46 % (P < 0.001), 4.62 % (P < 0.001) and 9.50 % (P < 0.001) lower than the reference 2H2O method, respectively. All three published BIA-based equations consistently underestimated the TBW and FFM and appeared inadequate for studying infants in India. The equation described by Fjeld et al. gave the smallest deviation from the reference method and may be used for field studies. New equations based on population-specific data are desirable for a more precise measure of TBW.

Prediction equations for body-fat percentage in Indian infants and young children using skinfold thickness and mid-arm circumference.

The objective of the study was to develop prediction equations for fat-mass percentage in infants in India based on skinfold thickness, mid-arm circumference, and age. Skinfold thicknesses and mid-arm circumference of 46 apparently-healthy infants (27 girls and 19 boys), aged 6-24 months, from among the urban poor attending a well baby clinic of a hospital in Kolkata were measured. Their body-fat percentage was measured using the D2O dilution technique as the reference method. Equations for body-fat percentage were developed using a stepwise forward regression model using skinfold thicknesses, mid-arm circumference, and age as independent variables, and the body-fat percentage was derived by D2O dilution as the dependent variable. The new prediction equations are: body-fat percentage = -69.26+5.76xB-0.33xT2+5.40xM+0.01xA2 for girls and body-fat percentage = -8.75+3.73xB+2.57xS for boys, where B=biceps skinfold thickness, T=triceps skinfold thickness, and S=suprailiac skinfold thickness all in mm, M=mid-arm circumference in cm, and A=age in month. Using the D2O dilution technique, the means (SD) of the calculated body-fat percentage were 17.11 (7.25) for girls and 16.93 (6.62) for boys and, using the new prediction equations, these were 17.11 (6.25) for girls and 16.93 (6.02) for boys. The mean of the differences of paired values in body-fat percentage was zero. The mean (SD) of the differences of paired values for body-fat percentage derived by the D2O technique and the new equations, applied on an independent sample of 23 infants (11 girls and 12 boys) were -0.93 (6.56) for girls and 1.14 (2.43) for boys; the 95% confidence limits of the differences of paired values for body-fat percentage were -2.03 to +3.89 for girls and -0.26 to +2.54 for boys. Given that the trajectories of growth during infancy and childhood are a major risk factor for a group of diseases in adulthood, including coronary heart disease and diabetes, these predictive equations should be useful in field studies.

Evaluation of equations for fat-free mass based on anthropometry in infants and young children in South Asia.

Rapid postnatal growth in low-birth weight infants increases the risk of hypertension, CHD and type 2 diabetes in adult life. To provide validated tools to study the growth in South Asian infants, we evaluated two published equations to measure total body water (TBW) and fat-free mass (FFM) based on anthropometry in 6- to 24-month-old infants, using 2H2O dilution. In a method-comparison study in seventy-eight infants aged 6-24 months (forty-two girls and thirty-six boys) from the urban poor attending an immunisation clinic of a hospital in Kolkata, we measured their length to the nearest 0.1 cm, weight to the nearest 10 g and TBW using 2H2O dilution. The calculated TBW in kg (TBWkg) and FFM in kg (FFMkg) using two equations based on the length and weight were each compared with TBWkg and FFMkg calculated from 2H2O dilution. The mean FFMkg were 7.31 (sd 1.11), 7.13 (SD 1.08) and 7.26 (SD 1.13) by the 2H2O dilution method, and the anthropometry equations of Mellits and Cheek (AN-1) and Morgenstern et al. (AN-2), respectively. The mean of the paired difference in FFMkg was 0.18 (SEM 0.06) and 0.04 (SEM 0.07) between 2H2O, and AN-1 and AN-2, respectively. There is a good agreement for FFM derived by AN-2 with 2H2O dilution. The former is 1% lower than that obtained from the reference method (P=0.28). The AN-2 equation is useful for evaluating FFM in infants in India.

Undernutrition in the Kora Mudi tribal population, West Bengal, India: a comparison of body mass index and mid-upper-arm circumference.

BACKGROUND: Undernutrition among adult tribal women is a major health problem in India. OBJECTIVES: To compare the utility of two different anthropometric indicators of chronic energy deficiency (CED) among tribal Kora Mudi women and to determine which of these two is a better indicator of undernutrition. METHODS: A cross-sectional study of 123 individuals was conducted. The body mass index (BMI) and mid-upper-arm circumference (MUAC) were used to evaluate CED. RESULTS: The prevalence of CED based on BMI less than 18.5 was 55.3%, and the prevalence of CED based on MUAC less than 22.0 cm was 51.2%. Both of these prevalence rates are classified in the very high-prevalence category (> or = 40%) and indicate a critical situation according to World Health Organization recommendations. Mean BMI increased significantly with higher quartile of MUAC. There was a significant difference in the prevalence of CED between the MUAC quartiles. The risk ratio for CED for women in the lowest quartile of MUAC was 9.33 compared with those in the highest quartile. There was a significant positive association between MUAC and BMI. Regression analysis demonstrated that MUAC had a significant positive impact on BMI; the percentage of the variation in BMI explained by MUAC was 52%. Logistic regression analysis demonstrated that overall, 82.11% of cases of CED were correctly classified with the use of MUAC. The use of MUAC correctly diagnosed 82.35% of cases of CED and 81.82% of women with normal nutritional status. CONCLUSIONS: This population was facing severe nutritional stress. With limited resources and in the absence of skilled manpower, it may be more appropriate to use MUAC for human population surveys, particularly among tribal populations of developing countries.