Anuradha Khadilkar

Normative data and percentile curves for Dual Energy X-ray Absorptiometry in healthy Indian girls and boys aged 5–17 years

For the correct interpretation of Dual Energy X-ray Absorptiometry (DXA) measurements in children, the use of age, gender, height, weight and ethnicity specific reference data is crucially important. In the absence of such a database for Indian children, the present study aimed to provide gender and age specific data on bone parameters and reference percentile curves for the assessment of bone status in 5-17 year old Indian boys and girls. A cross sectional study was conducted from May 2006 to July 2010 on 920 (480 boys) apparently healthy children from schools and colleges in Pune City, India. The GE-Lunar DPX Pro Pencil Beam DXA scanner was used to measure bone mineral content (BMC [g]), bone area (BA [cm(2)]) and bone mineral density (BMD [g/cm(2)]) at total body, lumbar spine and left femur. Reference percentile curves by age were derived separately for boys and girls for the total body BMC (TBBMC), total body BA (TBBA), lumbar spine bone mineral apparent density (BMAD [g/cm(3)]), and left femoral neck BMAD. We have also presented percentile curves for TBBA for height, TBBMC for TBBA, LBM for height and TBBMC for LBM for normalizing bone data for Indian children. Mean TBBMC, TBBA and TBBMD were expressed by age groups and Tanner stages for boys and girls separately. The average increase in TBBMC and TBBA with age was of the order of 8 to 12% at each age group. After 16 years of age, TBBMC and TBBA were significantly higher in boys than in girls (p<0.01). Maximal increase in TBBMD occurred around the age of 13 years in girls and three years later in boys. Reference data provided may be used for the clinical assessment of bone status of Indian children and adolescents.

Revised IAP growth charts for height, weight and body mass index for 5- to 18-year-old Indian children

JustificationThe need to revise Indian Academy of Pediatrics (IAP) growth charts for 5- to 18-year-old Indian children and adolescents was felt as India is in nutrition transition and previous IAP charts are based on data which are over two decades old.ProcessThe Growth Chart Committee was formed by IAP in January 2014 to design revised growth charts. Consultative meeting was held in November 2014 in Mumbai. Studies performed on Indian children’s growth, nutritional assessment and anthropometry from upper and middle socioeconomic classes in last decade were identified. Committee contacted 13 study groups; total number of children in the age group of 5 to 18 years were 87022 (54086 boys). Data from fourteen cities (Agartala, Ahmadabad, Chandigarh, Chennai, Delhi, Hyderabad, Kochi, Kolkata, Madurai, Mumbai, Mysore, Pune, Raipur and Surat) in India were collated. Data of children with weight for height Z scores >2 SD were removed from analyses. Data on 33148 children (18170 males, 14978 females) were used to construct growth charts using Cole’s LMS method.ObjectivesTo construct revised IAP growth charts for 5–18 year old Indian children based on collated national data from published studies performed on apparently healthy children and adolescents in the last 10 years.RecommendationsThe IAP growth chart committee recommends these revised growth charts for height, weight and body mass index (BMI) for assessment of growth of 5–18 year old Indian children to replace the previous IAP charts; rest of the recommendations for monitoring height and weight remain as per the IAP guidelines published in 2007. To define overweight and obesity in children from 5–18 years of age, adult equivalent of 23 and 27 cut-offs presented in BMI charts may be used. IAP recommends use of WHO standards for growth assessment of children below 5 years of age.

Body mass index cut-offs for screening for childhood overweight and obesity in Indian children.

ObjectiveTo develop age and sex specific cut-offs for BMI to screen for overweight and obesity in Indian children linked to an adult BMI of 23 and 28 kg/m2 respectively, using contemporary Indian data.DesignCross-sectional.SettingMulticentric, School based.Participants19834 children were measured from 11 affluent schools from five major geographical regions of India. Data were analyzed using the LMS method, which constructs growth reference percentiles adjusted for skewness.ResultsCompared to the cut-offs suggested for European populations and those by the Indian Academy of Pediatrics 2007 Guidelines, the age and sex specific cut off points for body mass index for overweight and obesity for Indian children suggested by this study are lower.ConclusionsContemporary cross-sectional age and sex specific BMI cut-offs for Indian children linked to Asian cutoffs of 23 and 28 kg/m2 for the assessment of risk of overweight and obesity, respectively are presented.

Growth charts: A diagnostic tool

Context: Assessment of growth by objective anthropometric methods is crucial in child care. India is in a phase of nutrition transition and thus it is vital to update growth references regularly. Objective: To review growth standards and references for assessment of physical growth of Indian children for clinical use and research purposes. Materials and Methods: Basics of growth charts and importance of anthropometric measurements are described. A comparison between growth standards and references is provided. Further, Indian growth reference curves based on the data collected by Agarwal et al. and adopted by the Indian Academy of Pediatrics, World Health Organization growth standards for children under the age of 5 years (2006) and contemporary Indian growth references published on apparently healthy affluent Indian children (data collected in 2007-08) are discussed. The article also discusses the use of adult equivalent body mass index (BMI) cut-offs for screening for overweight and obesity in Indian children. Results and Conclusions: For the assessment of height, weight and BMI, WHO growth standards (for children < 5 years) and contemporary cross sectional reference percentile curves (for children from 5-18 years) are available for clinical use and for research purposes. BMI percentiles (adjusted for the Asian adult BMI equivalent cut-offs) for the assessment of physical growth of present day Indian children are also available. LMS values and Microsoft excel macro for calculating SD scores can be obtained from the author (email: vamankhadilkar@gmail.com). Contemporary growth charts can be obtained by sending a message to 08861201183 or email: gntd@novonordisk.com.

The accrual of bone mass during childhood and puberty.

Purpose of reviewTo assess factors that influence the tempo of bone mass accrual with emphasis on obesity, exercise, and nutritional factors. Recent findingsThe prevalence of childhood obesity has increased dramatically throughout the world. Recent studies suggest that adiposity may be detrimental to development of bone strength parameters, and bone mass accrual during growth. Weight-bearing exercise during prepubertal and peripubertal period appears to enhance bone strength parameters. Maternal ultraviolet B radiation exposure and vitamin D status has been shown to have a positive effect on neonatal bone status, which appears to track up to the prepubertal period. Administration of vitamin D with or without calcium, but not calcium alone, during the prepubertal period might be an important ‘window’ for improving skeletal mineralization. SummaryObesity in children appears to be detrimental to development of bone strength parameters and bone mass accrual. Weight-bearing exercise during prepubertal and peripubertal period and vitamin D supplementation during pregnancy, infancy, and peripubertal period might be important for bone mass accrual. However, adequately powered randomized controlled trials with follow-up into adulthood are needed to determine if these interventions improve the tempo of bone mass accrual.

Sunlight Exposure and Development of Rickets in Indian Toddlers

ObjectiveTo study the role of sunlight exposure in determining the vitamin D status of underprivileged toddlers.MethodsHeight and weight were measured, clinical examination was performed, Food Frequency Questionnaire was administered and history of sunlight exposure was obtained in all (61) toddlers attending daytime crèche (Group B). Ionised calcium (iCa), inorganic Phosphorous (iP), alkaline phosphatase activity (ALP), serum parathyroid hormone (PTH) and 25 Hydroxy vitamin D (25OHD) were measured. Data were compared with results of a survey measuring similar parameters in 51 (of 251 eligible) toddlers from the same slum (Group A).Results111 children (mean age 2.6 yr (0.7), boys 56) were studied. Prevalence of hypovitaminosis D was 77% in group B toddlers (46 of 60) and 16.4% (10 of 61) had rickets, while none of the group A toddlers had 25OHD levels below 30nmol/L. Four children (7.8%) from Group A as against 24 (42.9%) from Group B, had sunshine exposure of < 30 minutes per day.ConclusionUnderprivileged toddlers who were deprived of sunlight had a much greater incidence of hypovitaminosis D and frank rickets. The study has important public health implications and underscores the necessity for sunlight exposure in young children.

Revised Indian Academy of Pediatrics 2015 growth charts for height, weight and body mass index for 5-18-year-old Indian children

Growth chart committee of Indian Academy of Pediatrics (IAP) has revised growth charts for 5–18-year-old Indian children in Jan 2015. The last IAP growth charts (2007) were based on data collected in 1989–92 which is now >2 decades old. India is in an economic and nutrition transition and hence growth pattern of Indian children has changed over last few years. Thus, it was necessary to produce contemporary, updated growth references for Indian children. The new IAP charts were prepared by collating data from nine groups who had published studies in indexed journals on growth from India in the last decade. Growth charts were constructed from a total of 87022 middle and upper socioeconomic class children (m 54086, f 32936) from all five zones of India. Data from middle and upper socioeconomic class children are likely to have higher prevalence of overweight and obesity and hence growth charts produced on such populations are likely to “normalize” obesity. To remove such unhealthy weights form the data, method suggested by World Health Organization was used to produce weight charts. Thus, the new IAP weight charts are much lower than the recently published studies on affluent Indian children. Since Indians are at a higher risk of obesity-related cardiometabolic complications at lower body mass index (BMI), BMI charts adjusted for 23, and 27 adult equivalent cut-offs as per International obesity task force guidelines were constructed. IAP now recommends use of these new charts to replace the 2007 IAP charts.

Relationship between body mass index, fat distribution and cardiometabolic risk factors in Indian children and adolescents

Studies assessing the relationship of BMI and BF with cardiometabolic (CM) risks in Indian children are scarce.

Waist Circumference Percentiles in 2-18 Year Old Indian Children

OBJECTIVES To develop reference percentile curves in Indian children for waist circumference (WC), and to provide a cutoff of WC percentile to identify children at risk for metabolic syndrome (MS). STUDY DESIGN A multicenter, cross-sectional study was performed in 5 major Indian cities. Height, weight, and blood pressure (BP) were measured in 10,842 children (6065 boys). Elevated BP was defined as either systolic BP or diastolic BP >95th percentile. WC was measured with the child standing using a stretch-resistant tape. Sex-specific reference percentiles were computed using the LMS method which constructs reference percentiles adjusted for skewness. To determine optimal cutoffs for WC percentiles, a validation sample of 208 children was assessed for MS risk factors (ie, anthropometry, BP, blood lipids), and receiver operating characteristic (ROC) curve analysis was performed. RESULTS Age- and sex-specific WC percentiles (5th, 10th, 15th, 25th, 50th, 75th, 85th, 90th, and 95th) are presented. WC values increased with age in both the boys and the girls. The median WC at age >15 years was greater in boys compared with girls. ROC analysis suggested the 70th percentile as a cutoff for MS risk (sensitivity, 0.84 in boys and 0.82 in girls; specificity, 0.85 in both boys and girls; area under the ROC curve, 0.88 in boys and 0.92 in girls). CONCLUSION Age- and sex-specific reference curves for WC for Indian children and cutoff values of 70th WC percentile for screening for MS risk are provided.

Body fat indices for identifying risk of hypertension in Indian children

BackgroundHigh adiposity is major risk factor for hypertension. Various anthropometric indices are used to assess excess fatness.Objectives(1) To examine relationship of body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), triceps skin fold thickness (TSFT) and wrist measurements with blood pressure in children and adolescents 2) to suggest age- and gender-specific cutoffs for these indices in Indian children.MethodsCross-sectional school-based study on a random sample of 6380 children (6–18 yr old, 3501 boys) from five major cities in India. Height, weight, waist and wrist circumference, TSFT, and blood pressure were recorded. Children with systolic blood pressure (BP) and/or Diastolic BP >95th percentile were classified as hypertensive.ResultsPrevalence of overweight and obesity was 23.5% and 9.7%, respectively. Hypertension was observed in 5.6%. Multiple logistic regression (adjustments: age, gender) indicated double risk of hypertension for overweight and 7 times higher odds for obese than normal-weight children. Children with TSFT >95th centile for US children showed three times risk and with TSFT from 85th to 95th double risk of hypertension. Higher WC and WHtR exhibited 1.5 times risk and larger Wrist 1.3 times higher risk of hypertension (P<0.001). Receiver operating curve (ROC) analysis provided age-gender specific cut offs for the five indices to detect the risk of high BP. Area under ROC curves (AUC) for five indices were similar and greater in older age groups indicating equal sensitivity and specificity.ConclusionUsing age- and gender-specific cutoffs for BMI, TSFT, WC or WHtR may offer putative markers for early detection of hypertension.