Effect of metformin adjunct therapy on cardiometabolic parameters in Indian adolescents with type 1 diabetes: a randomized controlled trial.

Introduction: Insulin resistance is being increasingly reported in type-1 Diabetes (T1D) and is known to accelerate microvascular complications. The Asian Indian population has a higher risk of double diabetes development compared to Caucasians. Hence, we studied the effect of adding Metformin to standard insulin therapy on glycemic control, insulin sensitivity (IS), cardiometabolic parameters and body composition in Indian adolescents with T1D. Methods: A Randomized controlled trial was conducted spanning 9 months (Registration number:CTRI/2019/11/022126). Inclusion: Age 10-19 years, T1D duration>1year, HbA1c>8% Exclusion: Uncontrolled vascular complications/comorbidities, Metformin intolerance, concomitant drugs affecting insulin sensitivity. Participants were randomized to Metformin/Placebo (n=41 each) groups and age, sex, duration-matched. Assessments were performed at baseline, 3 and 9 months. Results: 82 participants aged 14.7 ± 3years (40 females) were enrolled, with a mean diabetes duration of 5.2 ± 2.3 years. Over 9 months, HbA1c decreased significantly by 0.8 (95% confidence interval: -1.2 to -0.3) from 9.8 ± 1.8% to 9.1 ± 1.7% on Metformin but remained largely unchanged (difference of 0.2, 95% confidence interval: -0.7 to 0.2) i.e. 9.9 ± 1.6% and 9.7 ± 2.2% on placebo. HbA1c improvement correlated negatively with baseline IS (EGDR:r= -0.3;SEARCH:r = -0.24, p<0.05) implying better HbA1c-lowering in those with decreased initial IS. CGM-based glycemic variability (standard deviation) reduced by 6.3 mg/dL (95% confidence interval: -12.9 to 0.2) from 100.2 ± 19.1 mg/dL to 93.7 ± 19.9 mg/dL in those on Metformin (p=0.05) but not placebo (94.0 ± 20.5; 90.0 ± 22.6 mg/dL). Insulin sensitivity: CACTIexa & SEARCH scores demonstrated no change with Metformin but significant worsening on placebo. Significant increase in LDL-C(42%), total cholesterol(133.6 to 151.1 mg/dL), triglyceride (60.0 to 88.0 mg/dL) and carotid intima-media thickness was noted on placebo but not Metformin. Weight, BMI, fat Z-scores increased significantly on placebo but not Metformin. Adverse events (AE) were minor; AE, compliance and safety parameters were similar between the two groups. Conclusion: Metformin as an adjunct to insulin in Asian Indian adolescents with T1D demonstrated beneficial effect on glycemic control, glycemic variability, IS, lipid profile, vascular function, weight and body fat, with a good safety profile when administered for 9 months.

The automated Greulich and Pyle: a coming-of-age for segmental methods?

The well-known Greulich and Pyle (GP) method of bone age assessment (BAA) relies on comparing a hand X-ray against templates of discrete maturity classes collected in an atlas. Automated methods have recently shown great success with BAA, especially using deep learning. In this perspective, we first review the success and limitations of various automated BAA methods. We then offer a novel hypothesis: When networks predict bone age that is not aligned with a GP reference class, it is not simply statistical error (although there is that as well); they are picking up nuances in the hand X-ray that lie "outside that class." In other words, trained networks predict distributions around classes. This raises a natural question: How can we further understand the reasons for a prediction to deviate from the nominal class age? We claim that segmental aging, that is, ratings based on characteristic bone groups can be used to qualify predictions. This so-called segmental GP method has excellent properties: It can not only help identify differential maturity in the hand but also provide a systematic way to extend the use of the current GP atlas to various other populations.

Effect of Calcium and Vitamin D Supplementation (Dairy vs. Pharmacological) on Bone Health of Underprivileged Indian Children and Youth with Type-1 Diabetes: A Randomized Controlled Trial.

BACKGROUND: Bone health is affected by chronic childhood disorders including type-1 diabetes mellitus (T1DM). We conducted this randomized controlled trial with the objective of investigating the effect of 1-year supplementation of vitamin-D with milk or with pharmacological calcium on bone mass accrual in underprivileged Indian children and youth with T1DM. METHODS: 5 to 23year old (n = 203) underprivileged children and youth with T1DM were allocated to one of three groups: Milk (group A-received 200 ml milk + 1000 international unit (IU) vitamin-D3/day), Calcium supplement (group B-received 500 mg of calcium carbonate + 1000 IU of vitamin-D3/day) or standard of care/control (group C). Anthropometry, clinical details, biochemistry, diet (3-day 24-h recall), physical activity (questionnaires adapted for Indian children) and bone health parameters (using dual-energy X-ray absorptiometry and peripheral quantitative computed tomography- DXA and pQCT respectively) were evaluated at enrolment and end of 12 month intervention. RESULTS: Total body less head(TBLH) bone mineral content (BMC(g)) and bone mineral density (BMD(gm/cm2)) were significantly higher at end of study in girls in both supplemented groups (TBLHBMC-A-1011.8 ±â€¯307.8, B-983.2 ±â€¯352.9, C-792.8 ±â€¯346.8. TBLHBMD-A-± 0.2, B-0.8 ±â€¯0.2, C-0.6 ±â€¯0.2, p < 0.05). Z score of lumbar spine bone mineral apparent density of supplemented participants of both sexes was significantly higher than controls (Boys- A-0.7 ±â€¯1.1, B-0.6 ±â€¯1.4, C- -0.7 ±â€¯1.1; Girls- A-1.1 ±â€¯1.1, B-0.9 ±â€¯3.4, C- -1.7 ±â€¯1.3, p < 0.05). A significantly higher percentage increase was found in cortical thickness in girls in both supplemented groups (A-17.9 ±â€¯28.6, B-15.3 ±â€¯16.5, C-7.6 ±â€¯26.2); the differences remained after adjusting for confounders. CONCLUSION: Supplementation with milk or pharmacological calcium (+vitaminD3) improved bone outcomes-particularly geometry in children with T1DM with more pronounced effect in girls. Pharmacological calcium may be more cost effective in optimising bone health in T1DM in resource limited settings.

Adaptation and validation of an artificial intelligence based digital radiogrammetry tool for assessing bone health of indian children and youth with type-1 diabetes.

BACKGROUND AND OBJECTIVES: BoneXpert (BX) is an artificial intelligence software used primarily for bone age assessment. Besides, it can also be used to screen for bone health using the digital radiogrammetry tool called bone health index (BHI) for which normative reference values available are calculated from healthy European children. Due to ethnic difference in bone geometry, in a previous study, we generated reference curves based on healthy Indian children. The objectives of this study were: 1) To assess and compare bone health of Indian children with Type 1 diabetes (T1D) using both European and Indian BHI SDS reference data and 2) To identify determinants of poor bone health in Indian children and youth with T1D by using BHI tool (based on BHI-SDS Indian reference data) of BX. METHOD: The BHI was assessed retrospectively in 1159 subjects with T1D using digitalised left-hand x-rays and SDS were computed using European and Indian data. The demographic, anthropometric, clinical, biochemistry, dual x-ray absorptiometry (DXA) data and peripheral quantitative computed tomography (pQCT) data collection were performed using standard protocols and were extracted from hospital records. RESULTS: The BHI correlated well with DXA and pQCT parameters in subjects with T1D. BHI-SDS calculated using Indian reference data had better correlation with height and DXA parameters. 8.6% study participants had low (less than -2) BHI-SDS (Indian), with height SDS having significant effect. Subjects with low BHI-SDS were older, shorter and had higher duration of diabetes. They also had lower IGF1 and vitamin D concentrations, bone mineral density, and trabecular density. Female gender, increased duration of illness, poor glycaemic control, and vitamin D deficiency/insufficiency were significant predictors of poor BHI-SDS. CONCLUSION: Our study highlights the utility of digital radiogrammetry AI tool to screen for bone health of children with T1D and demonstrates and highlights the necessity of interpretation using ethnicity specific normative data.

BoneXpert-derived bone health index reference curves constructed on healthy Indian children and adolescents.

BACKGROUND: Artificial intelligence (AI)-based applications for the assessment of the paediatric musculoskeletal system like BoneXpert are not only useful to assess bone age (BA) but also to provide a bone health index (BHI) and a standard deviation score (SDS) for both. This allows comparison of the BHI with age- and sex-matched healthy Caucasian children. OBJECTIVE: We conducted this study with the objective of generating BHI curves using BoneXpert in healthy Indian children with BA between 2 and 17 years. METHOD: We retrospectively reviewed anthropometric parameters, BHI, and BHI SDS data of digitalized left-hand radiographs (joint photographic experts group [jpg] format) of a cohort of 788 paediatric patients from a previous study to which they were recruited to compare various methods of BA assessment. The recruited children represented all age groups for both sexes. The corrected BHI for jpg images was calculated using the formula corrected BHI=BHI*(stature/(avL*50))^0.33333 where stature is height of subject and avL is average length of metacarpal bones. The reference Indian BHI curves and centiles were generated using the Lambda-Mu-Sigma method. RESULT: The mean BHI and BHI SDS of the study group were 4.02±0.57 and -1.73±1.09, respectively. The average increase in median BHI from each age group was between 2.5% and 3% in both sexes up to age of 14 years after which it increased to 4.5% to 5%. The mean BHI of Indian children was lower than that of Caucasian children with maximum differences noted in boys at 16 years (21.7%) and girls at 14 years (16%). We report 8.4% SD of BHI for our study sample. Reference percentile curves for BHI according to BA were derived separately for boys and girls. CONCLUSION: Reference data has been provided for the screening of bone health status of Indian children and adolescents.

Pilot Study on Gut Microbiota Profile in Indian Children with Type 1 Diabetes.

Background: Non-genetic factors like microbial dysbiosis may be contributing to the increasing incidence/progression of type 1 diabetes mellitus (T1DM). Objectives: To analyse the gut microbiota profile in Indian children with T1DM and its effect on glycaemic control. Methodology: Faecal samples of 29 children with T1DM were collected and faecal microbial DNA was extracted and subjected to 16S rRNA (ribosomal RNA) sequencing and further analysis. Results: The dominant phyla in children with T1DM were Firmicutes and Bacteroidetes. Butyrate-producing bacteria Blautia and Ruminococcus showed a significant negative correlation with the glycosylated haemoglobin (HbA1C) levels (p < 0.05). Coprococcus and Propionibacterium were important negative predictors of glycaemic control (p < 0.05). Conclusion: Our study suggests that Indian children with T1DM have a distinct gut microbiome taxonomic composition and that short-chain fatty acid-producing bacteria like Ruminococcus and Blautia (butyrate-producing) may play an important role in the glycaemic control of subjects with T1DM.

Influence of parental anthropometry and gestational weight gain on intrauterine growth and neonatal outcomes: Findings from the MAI cohort study in rural India.

Poor foetal growth and subsequent low birth weight are associated with an increased risk for disease later in life. Identifying parental factors that determine foetal growth are important to curbing intergenerational malnutrition, especially among disadvantaged populations in the global south where undernutrition rates are high. The objective of this study was to assess the relationships between parental biometry, intrauterine growth and neonatal outcomes, while factoring in socioeconomic status of historically disadvantaged households in rural India. Using data from the prospective longitudinal cohort, pregnant women from rural Pune, India (n = 134) were assessed between August 2020 and November 2022. Data on socio-demography, ultrasound measurements, parental and foetal anthropometry were collected. Multiple linear regression models were run to predict determinants of foetal intrauterine and neonatal growth (p value<0.05). The dependent variables were ultrasound measurements and neonatal biometry, and independent variables were gestational weight gain, parental and mid-parental height. Mean(±SD) maternal age, maternal height, paternal height and mid-parental height were 22.8±3.7 years, 153.6±5.5cm, 165.9±6.5cm and 159.1±8.7cm, respectively. Pre-pregnancy body mass index and gestational weight gain was 20.5±4.0 kg/m2 and 9.8±3.7kg respectively. Mid-parental height and gestational weight gain were strongly correlated with neonatal growth and foetal intrauterine growth (p<0.05); however, the correlation peaked at 28 weeks of gestation (p<0.05). Gestational weight gain (B = 28.7, p = 0.001) and mid-parental height (B = 14.3, p = 0.001) were identified as strong determinants of foetal-intrauterine growth and neonatal anthropometry at birth. Maternal height was found to influence length of male neonate (B = 0.18, p = 0.001), whereas, paternal height influenced length of the female neonate (B = 0.11, p = 0.01). Parental socio-economic status, biometry and maternal gestational weight gain influence growth of the child starting from the intrauterine period. Our study underlines the need for interventions during pre-pregnancy, as well as during pregnancy, for optimal weight gain and improved foetal and neonatal outcomes.

Vitamin D status and determinants in Indian children and adolescents: a multicentre study.

Studies performed on Indian children to assess vitamin-D status have been on small sample sizes, limited to specific geographical locations and used non-standard methods to measure 25(OH)D3. This multicentre study assessed 25(OH)D3 concentrations from dried blood spots (DBS) in 5-18-year-old Indian children and adolescents using a standardized protocol and identified factors contributing towards vitamin D deficiency. Cross-sectional, observational school-based study was conducted by multi-stage stratified random sampling. A city and nearby village were selected from 6 Indian states covering wide geographical areas. Demography, anthropometry, body-composition, dietary-intakes and DBS samples were collected. 25(OH)D3 was assessed from DBS using Liquid chromatography with tandem-mass spectrometry. Vitamin-D status was assessed in 2500 children; with additional data collected on a subset (n = 669) to assess predictors. Mean vitamin-D concentration was 45.8 ± 23.9 nmol/L, 36.8% of subjects had sufficient vitamin-D (> 50 nmol/L); rural subjects and boys had higher concentrations (p < 0.05). On regression analysis, younger age, female-gender, overweight and urban residence significantly contributed to deficiency. More than half the Indian children/adolescents were vitamin-D deficient or insufficient. Our study reinforces vitamin-D deficiency as a major public health problem and the need for supplementation, food fortification and educating the population as initiatives required to improve sufficiency status.

Maternal early pregnancy body mass index, gestational weight gain and pregnancy outcomes among urban slum dwellers in Pune, India-A retrospective analysis.

Context: Studies on prepregnancy body mass index (BMI), gestational weight gain (GWG), and pregnancy outcomes among urban Indian slums are sparse. Aims: To study BMI during early pregnancy, GWG, and maternal and neonatal outcomes among slum-dwelling women in Pune, India. Design: A retrospective study among pregnant women attending antenatal care (ANC) facility. Methods and Material: Anthropometric and clinical data throughout pregnancy and pregnancy outcomes postdelivery were collected during hospitalization for delivery using ANC cards. Asian BMI cut-offs were used to define underweight (UW), normal weight (NW), overweight (OW), and obesity (OB). GWG was classified into insufficient, adequate, and excessive categories (2009 Institute of Medicine). Statistical analysis was performed using R (v 4.0). Results: Slum-dwelling pregnant women (n = 509, mean age 24 (3.6) years) were studied. Seventy-five percent of the women visited ANC clinics at least thrice during pregnancy. Only 17.5% (n = 89) of the women registered before 12 weeks of gestation, and higher education and being primiparous were the correlates. A total of 28% of the women were UW, whereas 25% of the women were OW/OB as per early pregnancy BMI. The highest percentage of preterm deliveries and cesarean/instrumental deliveries were observed in OW/OB categories. A total of 27% gained appropriate gestational weight. This cohort had 508 live births (mean BW- 2.8 kgs) and one stillbirth. One baby had macrosomia (BW >4 Kg), whereas 19% were low birth weight (LBW) (BW <2.5 Kg). Conclusions: Double burden of malnutrition (UW and OW) was observed among young slum-dwelling women. The proportion of slum-dwelling women attending ANC clinics during early pregnancy is still low. Increased uptake of government programs is required to enhance maternal and child health.

A comparison of bone age assessments using automated and manual methods in children of Indian ethnicity.

BACKGROUND: Bone age is useful for pediatric endocrinologists in evaluating various disorders related to growth and puberty. Traditional methods of bone age assessment, namely Greulich and Pyle (GP) and Tanner-Whitehouse (TW), have intra- and interobserver variations. Use of computer-automated methods like BoneXpert might overcome these subjective variations. OBJECTIVE: The aim of our study was to assess the validity of BoneXpert in comparison to manual GP and TW methods for assessing bone age in children of Asian Indian ethnicity. MATERIALS AND METHODS: We extracted from a previous study the deidentified left hand radiographs of 920 healthy children aged 2-19 years. We compared bone age as determined by four well-trained manual raters using GP and TW methods with the BoneXpert ratings. We computed accuracy using root mean square error (RMSE) to assess how close the bone age estimated by BoneXpert was to the reference rating. RESULTS: The standard deviations (SDs) of rating among the four manual raters were 0.52 years, 0.52 years and 0.47 years for GP, TW2 and TW3 methods, respectively. The RMSEs between the automated bone age estimates and the true ratings were 0.39 years, 0.41 years and 0.36 years, respectively, for the same methods. The RMSE values were significantly lower in girls than in boys (0.53, 0.5 and 0.47 vs. 0.39, 0.47 and 0.4) by all the methods; however, no such difference was noted in classification by body mass index. The best agreement between BoneXpert and manual rating was obtained by using 50% weight on carpals (GP50). The carpal bone age was retarded in Indian children, more so in boys. CONCLUSION: BoneXpert was accurate and performed well in estimating bone age by both GP and TW methods in healthy Asian Indian children; the error was larger in boys. The GP50 establishes "backward compatibility" with manual rating.

Impact of COVID-19 lockdown on idiopathic central precocious puberty - experience from an Indian centre.

OBJECTIVES: Owing to increase in referrals for precocity observed during COVID-19 lockdown, this study was conducted to estimate the proportion of patients referred for precocity and within these, those with idiopathic central precocious puberty (iCPP) before vs. during the COVID lockdown, and to assess the differences in anthropometric and clinical characteristics among iCPP patients in the two groups. METHODS: Retrospective study conducted at a tertiary level paediatric endocrinology centre (Western India) evaluating proportion of referrals for precocity and comparing demographics, anthropometry, pubertal staging and bone age at presentation among children with iCPP divided into two groups (pre-lockdown-group 1, lockdown-group 2). RESULTS: During lockdown, 155 (5.1%; 146 girls) of 3,053 referrals for precocity as opposed to 59 (1.4%; 54 girls) of 4,208 before the lockdown (p<0.05) were seen; increase was higher in girls (p<0.05). Proportion of referrals for iCPP was significantly higher in the lockdown (4.4%; 136 children vs. 1%; 44 children in group 2) among both genders. Mean age at first visit was 7.8 ± 1.3 and 8.2 ± 1.2 years in groups 1 and 2, respectively. Mean height, weight, BMI and height minus mid-parental height Z scores were not significantly different between the groups. Children in group 2 had a significantly advanced mean bone age (10.7 ± 2 years) and difference in bone and chronological ages (2.5 ± 1.2 years) as compared to group-1 (9.7 ± 1.9; 1.9 ± 1.2) and a larger proportion presented in late puberty. CONCLUSIONS: We found an increase in the referrals for precocious puberty and an increase in number of children diagnosed with iCPP during COVID lockdown.

Resting metabolic rate and its association with body composition parameters in 9- to 18-year-old Indian children and adolescents.

OBJECTIVES: Obesity is a disorder of energy balance with increasing prevalence in Indian children. Objectives were to study 1) resting metabolic rate (RMR), anthropometry, body composition (BC), and their relationships in Indian children and adolescents affected with overweight (OW) or obesity (OB) and in non-overweight (NOW) children and 2) factors influencing RMR, such as age, sex, and BC. METHODS: This cross-sectional, observational, multicentric study included 495 children (260 boys) of age 9-18 y who were assessed from six Indian states for sociodemographic and anthropometric parameters using standard protocols. Body composition was assessed by a body impedance analyzer technique (Tanita-BC-420), and RMR was assessed using indirect calorimetry. Data were analyzed using SPSS (version 26) with appropriate statistical tests. The level of significance was set at P < 0.05. RESULTS: Boys had higher absolute RMR values than did girls (1212±263 kcal/d versus 1066±204 kcal/d; P < 0.001). Weight-adjusted RMR was significantly lower among children classified as OW or OB than among NOW children of both sexes, respectively (P < 0.001). Linear regression analysis revealed fat-free mass, sex, age, and body mass index (BMI) as significant predictors of RMR (P < 0.05). CONCLUSIONS: We found lower weight-adjusted RMR in children classified as OW or OB as compared with NOW children. Our study underlines the importance of low RMR levels among children with a higher BMI, in girls, and with increasing age.

Impact of Adolescent Pregnancy on Bone Density in Underprivileged Pre-Menopausal Indian Women.

High prevalence (31.5%) of adolescent pregnancies (AP) have been reported in India. Reports suggest that pregnancy during adolescence may have deleterious effects on peak bone mass. Very few studies have described the long-term effects of a history of AP on bone mass. The objective of this study was to compare bone mineral density (BMD) and bone geometry of premenopausal women with first childbirth during adolescence (i.e., before age of 19 years) or after 20 years. A cross-sectional study was conducted in 242 women (age 28.0-54.5 years) from Pune, India (November, 2015 to November, 2017). Women were divided into 2-groups: Group-1: women-who had 1st-pregnancy and childbirth before 19 years of age (AP n = 131) and Group-2: women-who had 1st pregnancy after 20 years of age (non-AP n = 111). Demographic data, anthropometric measurements, and biochemical tests were performed using standard protocols. Physical activity and nutrient intakes were recorded using validated questionnaires. Areal BMD and bone geometry were measured using Dual-Energy-Absorptiometry-DXA (Lunar-iDXA, GE Healthcare) and peripheral-quantitative-computed-tomography-pQCT (XCT2000, Stratec Inc.). Mean age of the study group was 37 ± 4.6 years; in women from group-1 mean age at first delivery was 16.9 ± 1.6 years as against 22.6 ± 3.1 years in group-2. Both groups were similar in body mass index and socioeconomic status. pQCT measured radial diaphyseal cortical thickness (1.97 ± 0.3 mm vs 1.88 ± 0.3 mm resp., p = 0.016, periosteal circumference (38.0 ± 3.6 mm vs 36.7 ± 2.5 mm, resp. p = 0.016), total bone area (114.3 ± 24.8 mm2 vs 108.7 ± 14.7 mm2 resp. p = 0.026) and stress-strain index (SSI = 217 ± 75 vs 201 ± 40 mm3 resp. p = 0.042) were significantly higher in group-1 than group-2. After adjusting for anthropometric and lifestyle parameters, pQCT measured cortical thickness (1.98 ± 0.03 mm in group-1, 1.87 ± 0.03 mm group-2, p = 0.01, mean ± SE) and iDXA derived aBMD at forearm were still significantly higher (0.599 ± 0.006 g/cm3 vs 0.580 ± 0.006 g/cm3, p = 0.023) in Group-1. Our data suggest that women with a history of adolescent pregnancy had better bone geometry and higher aBMD at radius in later years. We speculate that early exposure to pregnancy resulted in higher aBMD at the radius and induced changes at radial diaphysis with bones becoming thicker and wider among these women.

Predictive value of WHO vs. IAP BMI charts for identification of metabolic risk in Indian children and adolescents.

OBJECTIVES: Owing to increase in prevalence of obesity and metabolic syndrome in Indian children and adolescents, this study is conducted to assess the predictive value of IAP 2015 and WHO 2007 BMI for age cut-offs in identifying metabolic risk in Indian children. METHODS: Cross-sectional multicentric school-based study on 9-18-year-old healthy children (n=1,418) randomly selected from three states of India. RESULTS: WHO 2007 and IAP 2015 charts classified 222 (15.7%) and 271 (19.1%) as overweight/obese, respectively. A total of 192 (13.5%) subjects had metabolic risk. Of these 47 (25%) and 36 (18.75%) were classified as having normal body mass index (BMI) by WHO and IAP, respectively. In identifying metabolic risk, IAP 2015 and WHO 2007 charts showed a sensitivity of 81.3 and 75%, negative predictive value 96.5% as against 94.8%, positive predictive value 57.5 and 64.8%, and specificity of 89.7 and 91.6%, respectively. CONCLUSIONS: Owing to obesity epidemic and high metabolic risk in Indians, IAP 2015 charts (as against the WHO 2007 references) which had a higher sensitivity in identifying metabolic risk may be more suitable in Indian children and adolescents.

Reference centile curves for mid-upper arm circumference for assessment of under- and overnutrition in school-aged Indian children and adolescents.

OBJECTIVES: Malnutrition is common in developing countries and is not restricted to young children. It has been suggested that measuring mid-upper arm circumference (MUAC) is an easy, accurate, and low-cost method of identifying malnutrition in the early stages. The aims of this study were to construct age- and sex-specific MUAC reference centiles, and to define and validate cutoffs for assessment of under- and overnutrition in Indian children 5 to 17 y of age. METHODS: This was a cross-sectional, multicentric, observational study conducted in seven schools in seven states from June 2018 to November 2019. The study included 6680 healthy 5- to17-y-old children. MUAC was measured using non-stretch tapes (UNICEF). Sex-specific MUAC percentiles were computed for age and height. Cutoffs for MUAC z-scores for thinness and overnutrition were defined and validated for healthy school children (n = 726) and children with cancer (n = 500). RESULTS: Reference centiles for MUAC for age (and height) for boys and girls are presented. Cutoffs defined for thinness and for obesity were -0.7 and +1.5 z-score, respectively (corresponding to 25th and 95th percentiles of the MUAC for age/height). For ease of use, rounded cutoffs for thinness were 16 and 18.5 cm from 5 to 9 and 10 to 14 y of age, respectively, in both sexes, and a cutoff of 22 cm in boys and 20 cm in girl from 15 to 17 y of age. For obesity, 20 and 25.5 cm from 5 to 9 and 10 to 14 y of age, respectively, in both girls and boys and a rounded cutoff of 29 cm in boys and 27 cm in girls from 15 to17 y are proposed. CONCLUSIONS: We presented MUAC percentiles and cutoffs for screening for thinness and overnutrition in Indian children from 5 to 17 y of age. These data may also be used in children with cancer and other chronic disorders with growth failure.

Prevalence of Sarcopenia and Relationships Between Muscle and Bone in Indian Men and Women.

Both ethnicity and age are important determinants of musculoskeletal health. We aimed to determine the prevalence of sarcopenia, assess the suitability of current diagnostic guidelines, and explore muscle-bone relationships in adults from India. A total of 1009 young (20-35 years) and 1755 older (> 40 years) men and women from existing studies were collated and pooled for the analysis. Dual-energy x-ray absorptiometry measured areal bone mineral density (aBMD) at the hip and spine, and fat and lean mass; hand dynamometer measured hand grip strength (HGS). Indian-specific cut-points for appendicular lean mass (ALM), ALM index (ALMI) and HGS were calculated from young Indian (-2SD mean) populations. Sarcopenia was defined using cut-points from The Foundations for the National Institutes of Health (FNIH), revised European Working Group on Sarcopenia in Older People (EWGSOP2), Asian Working Group for Sarcopenia (AWGS), and Indian-specific cut-points. Low lean mass cut-points were then compared for their predictive ability in identifying low HGS. The relationship between muscle variables (ALM, ALMI, HGS) and aBMD was explored, and sex differences were tested. Indian-specific cut-points (men-HGS:22.93 kg, ALM:15.41 kg, ALMI:6.03 kg/m2; women-HGS:10.76 kg, ALM:9.95 kg, ALMI:4.64 kg/m2) were lower than existing definitions. The Indian-specific definition had the lowest, while EWGSOP2 ALMI had the highest predictive ability in detecting low HGS (men:AUC = 0.686, women:AUC = 0.641). There were sex differences in associations between aBMD and all muscle variables, with greater positive associations in women than in men. The use of appropriate cut-points for diagnosing low lean mass and physical function is necessary in ethnic populations for accurate sarcopenia assessment. Muscle-bone relationships are more tightly coupled during ageing in Indian women than men.

Test Anxiety among School-Going Children and Adolescents, Factors Affecting and Impact on Quality of Life: A Multicenter Study.

OBJECTIVE: To assess test anxiety (TA) and factors affecting TA in school-going children. To observe the impact of TA on quality of life (QOL). METHOD: A multi-centric cross-sectional observational study was conducted in Indian schools from 6 different states in both rural and urban settings. Indian school children 9 to 18-y-old were the subjects. Demographic data, including age, gender, and socioeconomic status, were obtained. Children were administered Test Anxiety Inventory (TAI) and PedsQL (Pediatric Quality of Life). TAI score (and factors affecting it in both rural and urban children) and QOL scores were assessed. RESULTS: Data on 2158 children were analyzed (1162 boys). The mean age was 13.8 ± 1.8 y, and the mean TAI score was 48.3 ± 10.2. TAI score was significantly higher in girls and rural children (p < 0.05 for both). Based on the TAI score, high, medium, and low-anxiety clusters were generated. Proportion of children with high, medium and low-anxiety scores were 18%, 48%, and 34%, respectively. Children with low anxiety had better QOL in all subdomains (p < 0.05). Regression analysis indicated increasing age, low QOL, urban living, and lower maternal education as significant predictors of high anxiety (p < 0.05). CONCLUSION: Girls and rural children had higher TA. Two-thirds of children studied had moderate to high TA. Increasing age, urban living, QOL, and maternal education had an impact on TA. Evaluating TA and developing appropriate strategies for stress-reduction in school children is necessary.