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.

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.

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.

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.

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.

Paradoxical Response of Parathyroid Hormone to Vitamin D-Calcium Supplementation in Indian Children.

OBJECTIVES: To investigate the effect of oral vitamin D-calcium supplementation on serum intact parathyroid hormone (PTH), calcium, phosphorous, and alkaline phosphatase (ALK-P) concentrations in children with habitually low calcium intakes. STUDY DESIGN: In this follow-up study to a randomized controlled trial that aimed to assess the effect of vitamin D-calcium supplementation on immunity, data related to dietary intake, anthropometry, and biochemistry [serum 25(OH)D and bone profile] were collected from 178 children-79 in the vitamin D group and 99 in the non-vitamin D group. RESULTS: Dietary calcium to phosphorus intake ratio was 0.4:1. Baseline serum 25(OH)D concentration was 58.2 ± 10.9 nmol/L; 66% children were vitamin D sufficient and none deficient. After supplementation, vitamin D group, compared with the non-vitamin D group, had significantly (P < .05) greater 25(OH)D (83.9 ± 30.1 nmol/L vs 58.3 ± 15.7 nmol/L), significantly greater PTH (6.7 ± 3.6 pmol/L vs 5.5 ± 3.2 pmol/L), and positive correlation (rs = 0.24) between serum 25(OH)D and PTH (vs negative correlation [rs = -0.1] in non-vitamin D group). Mean concentrations of serum bone measures in the vitamin D group were calcium (2.2 ± 0.1 mmol/L), phosphorus (1.7 ± 0.2 mmol/L), and ALK-P (178.7 ± 40.7 IU/L). At follow-up, 1-year post-supplementation, in the vitamin D group, PTH concentrations continued to remain high (but not significantly different from levels at 6 months), with low normal serum calcium, high normal phosphate, and ALK-P in reference range. CONCLUSIONS: In children who are vitamin D sufficient but with habitually low dietary calcium intake, vitamin D-calcium supplementation paradoxically and significantly increased serum PTH concentrations with no apparent effect on other bone biochemistry. Chronic low dietary calcium to phosphorus ratio is likely to have caused this paradoxical response.

Sitting height percentiles in 3-17-year-old Indian children: a multicentre study.

Background: Sitting height (StH) percentiles are not described for the Indian paediatric population.Aim: To generate multicentre StH percentile values for Indian children.Subjects and methods: A total of 7961 apparently healthy children (3-17 years old, Boys: 4328) randomly selected from 10 schools from six states of India were measured for height (ht), StH and weight during July 2016-October 2017.Results: The StH:Ht ratio was 0.52 (0.02) and was similar between boys and girls (p > 0.1). The ratio decreased in boys until the age of 14 years and then slightly increased; the lowest ratio was observed during 13-15 years. In girls, however, the StH:Ht ratio decreased until the age of 9 years and then plateaued until 15 years of age with a slight increase at 16 years; the lowest ratio was observed at the age of 12-13 years. Sitting height percentiles (3rd, 10th, 25th, 50th, 75th, 90th and 97th) were computed using LMS chartmaker.Conclusions: The results indicate that, during the pubertal years, the lower limb growth is more predominant than trunk growth. Further, this study provides smoothened percentile curves for sitting height in Indian children for the first time.

Impact of dietary nutrient intake and physical activity on body composition and growth in Indian children.

BackgroundTo investigate interrelationships of dietary composition and physical activity (PA) with growth and body composition (BC) in urban Indian school children.MethodsA cross-sectional study was performed in 4,747 Indian school children (2,623 boys) aged 3-18 years. Weight, height, BC by body impedance analyzer, PA and dietary food intakes by questionnaire method were recorded.ResultsMean daily energy and protein intakes as recommended dietary allowance were significantly lower in both boys and girls (P<0.01) above 6 years, with 55% reduction in micronutrient intakes in older children. When compared with World Health Organization references, lower heights in pubertal boys and girls were related to dietary energy and protein intake. Multiple regression analysis showed positive association of height for age z-scores (HAZ) with midparental height z-scores (ß=0.45, P=0.0001) and protein density (ß=0.103, P=0.014). HAZ was negatively associated with inactivity (ß=-0.0001, P=0.049) in boys and girls (R2=0.104, P<0.01). Further, body fat percentage was negatively correlated with moderate or light activity and antioxidant intakes (P<0.01) but not with dietary fat intake. Percentage muscle mass was positively correlated with moderate activity and negatively with inactivity (P<0.05).ConclusionAdequacy of protein and antioxidant intakes, reducing inactivity and increasing moderate activity are essential for optimal growth and body composition in Indian children.

Establishing International Blood Pressure References Among Nonoverweight Children and Adolescents Aged 6 to 17 Years.

BACKGROUND: Several distributions of country-specific blood pressure (BP) percentiles by sex, age, and height for children and adolescents have been established worldwide. However, there are no globally unified BP references for defining elevated BP in children and adolescents, which limits international comparisons of the prevalence of pediatric elevated BP. We aimed to establish international BP references for children and adolescents by using 7 nationally representative data sets (China, India, Iran, Korea, Poland, Tunisia, and the United States). METHODS AND RESULTS: Data on BP for 52 636 nonoverweight children and adolescents aged 6 to 19 years were obtained from 7 large nationally representative cross-sectional surveys in China, India, Iran, Korea, Poland, Tunisia, and the United States. BP values were obtained with certified mercury sphygmomanometers in all 7 countries by using standard procedures for BP measurement. Smoothed BP percentiles (50th, 90th, 95th, and 99th) by age and height were estimated by using the Generalized Additive Model for Location Scale and Shape model. BP values were similar between males and females until the age of 13 years and were higher in males than females thereafter. In comparison with the BP levels of the 90th and 95th percentiles of the US Fourth Report at median height, systolic BP of the corresponding percentiles of these international references was lower, whereas diastolic BP was similar. CONCLUSIONS: These international BP references will be a useful tool for international comparison of the prevalence of elevated BP in children and adolescents and may help to identify hypertensive youths in diverse populations.

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.

Effect of one-year growth hormone therapy on body composition and cardio-metabolic risk in Indian children with growth hormone deficiency.

Growth hormone (GH) deficiency in children manifests as short stature but is also associated with metabolic disturbances. Paucity of GH is also likely to be associated with increased intima media thickness. Data on body composition (BC) and carotid intima media thickness (cIMT) in children with growth hormone deficiency (GHD) from developing countries are very scarce. Therefore, objectives of present study were to assess effect of 1 year of rhGH therapy on (i) BC and lipid profile (LP) in a cohort of Indian GHD children and (ii) effect on atherosclerotic markers - cIMT in subsample. Anthropometry, BC [% body fat (BF), % lean body mass (LBM), bone mineral content (BMC)] (DXA) and LP were measured in 49 pre-pubertal GHD-children (9.3 ± 3.1 years) at baseline and after 1 year of rhGH therapy. On subset of 20 children, cIMT of right common carotid artery was also measured. Baseline BC parameters were compared with age-gender matched healthy controls (n = 49). At baseline % BF was 23 ± 9 %, LBM was 9 ± 3 kg and BMC was 0.306 ± 0.15 kg in GHD- children; BF was comparable, while lean and bone were less than controls (p < 0.05). Post therapy, significant reduction in fat (15%), and cIMT (7%) and increase in LBM and BMC by 40% and 44%, respectively (p < 0.05) was seen. Our cohort of untreated GHD children had abnormal BC and cIMT as compared to controls. rhGH therapy for 1 year had beneficial effect on BC and cardiovascular risk factors.

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.

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.

Assessment of Vitamin D Status, its Determinants and Relationship with Bone Health in Indian Children and Young Adults with Type-1 Diabetes.

Introduction: Recent evidence suggests that vitamin D deficiency and type-1 diabetes (T1D) have a bidirectional cause-effect relationship. The objective of this study is to estimate the prevalence and determinants of vitamin D deficiency in Indian children and young adults with T1D and assess the relationship between vitamin D status and their bone health. Methods: It was a single-centre, cross-sectional study. Inclusion: Children, young adults aged 5-25 years with T1D duration >1 year. Exclusion: Already on vitamin D supplementation, conditions affecting bone health. Data collected: Demographic, clinical, anthropometry, biochemical, body composition, DXA, pQCT measurements. Results: A total of 453 participants (251 girls) with T1D, mean age = 13.5 ± 4.0 years, disease duration = 5.7 ± 3.9 years. Mean 25-hydroxy vitamin D concentration of study group was 20.4 ± 11.3 ng/mL. One hundred and eleven (24.5%) were deficient in 25-hydroxy vitamin D, 141 (31.1%) were insufficient and 201 (44.4%) were sufficient. 25-Hydroxy vitamin D concentrations had significant negative correlation with BMI Z-score, diastolic blood pressure, fat percentage Z-score and positive correlation with physical activity, haemoglobin concentrations and trabecular density (P < 0.05). Risk of developing vitamin D deficiency and insufficiency was significantly lower in subjects with good/intermediate glycaemic control versus poor control (P = 0.008). Higher diastolic blood pressure and female gender were significant risk factors for development of vitamin D deficiency. Conclusion: Vitamin D deficiency has high prevalence in children and youth with T1D and has detrimental effect on bone geometry of these subjects. Weight reduction increased outdoor physical activity, good glycemic control are some modifiable factors that may prove useful in preventing vitamin D deficiency.

A Comparative Study of Bone-Health and Associated Factors in Healthy Indian Adolescents and Young Women.

Introduction: Adolescence is a critical period for the accrual of bone mass. However, few studies have assessed the bone geometry in slum-dwelling girls/young women. We thus conducted this study: (1) to assess bone health in Indian adolescent girls and young women residing in slum vs nonslum (NS) areas and (2) to identify factors associated with poor bone health. Methods: This cross-sectional case-control study was performed on 110 apparently healthy unmarried, nonpregnant, nonlactating, postmenarchal adolescent girls and young women aged 11 to 24 years residing in urban slums with the same number of age-matched controls from NS areas. Anthropometric, dietary, physical-activity and bone-health parameters (using dual-energy X-ray absorptiometry and peripheral quantitative computed tomography-DXA and pQCT-respectively) were evaluated using standard protocols. A P value of < 0.05 was considered statistically significant. Results: Slum girls were significantly shorter and lighter and had lower dietary intakes of calcium and protein after adjusting for total daily calorie intake than NS girls (P < 0.05). Areal bone-mineral density (BMD) at lumber spine (0.940 ± 0.13 vs1.042 ± 0.15 g/cm2), femur and total body (less-head), bone-mineral apparent density adjusted for volume at the lumbar spine (0.295 ± 0.04 vs 0.319 ± 0.04 g/cm3) and height-adjusted bone density at femur (0.862 ± 0.011 vs 0.905 ± 0.011 g/cm2) were significantly lower in slum dwelling participants as compared to their NS counterparts (P < 0.05). After adjusting for confounders like sunlight exposure, anthropometric parameters and dietary calcium intake, area of dwelling was still a significant factor for the difference in BMD. Conclusions: The potential determinants of poor bone density and geometry in girls and young women residing in slums include residential location, dietary habits, and physical activity levels. Despite adjustments for confounding factors, differences in bone health between those in slum and nonslum areas suggest adaptations developed over generations of deprivation in these individuals, necessitating urgent intervention.

Local anthropometric parameters for assessing double burden of malnutrition in South Asian and Southeast Asian countries: a review and retrospective analysis.

The double burden of malnutrition (DBM) is a significant public health issue in South and Southeast Asia (SA and SEA). This study aimed to assess the impact of using local and regional ethnicity-specific anthropometric references versus international references on the prevalence of DBM in these regions.A narrative review of DBM prevalence using local versus international standards was conducted. Additionally, deidentified datasets from India and Indonesia were analyzed to evaluate the effectiveness of different growth standards in identifying DBM. Anthropometric Z-scores were compared, and sensitivity, specificity, and positive predictive value (PPV) were calculated.WHO standards had the lowest specificity for identifying short stature in India and Indonesia. BMI-for-age charts using WHO Growth Reference (2007) had lower sensitivity and higher specificity for metabolic risk. Local references showed lower stunting and higher overweight or obesity prevalence. International standards overestimated stunting and underestimated obesity, leading to misclassification and missed cases of metabolic risk. Funding: None.

Prevalence and factors associated with sarcopenia among urban and rural Indian adults in middle age: A cross-sectional study from Western India.

Sarcopenia is the age-related loss of muscle mass and function. India has 8.6% of the global elderly (>60 years) population, and this is expected to increase to 20% by 2050. Around 70% of Indians live in rural areas where lifestyle factors like diet and physical activity differ from urban areas. Understanding age, sex and location-specific sarcopenia prevalence in India is crucial. Thus, our aim was to assess the prevalence and determinants of sarcopenia in urban and rural community-dwelling men and women aged 40 years and older, representing the next generation of older Indian adults. This cross-sectional study included 745 adults (400 women) from urban and rural areas near Pune, Western India. Assessments included socio-demography, diet by-24-hr recall, physical activity, anthropometry (height, weight), muscle mass measurement by dual-energy X-ray absorptiometry, muscle strength (hand grip) & muscle function by Short Physical Performance Battery (SPPB). Sarcopenia was defined by Asian Working Group on Sarcopenia-2019 guidelines Mean age of participants was 53±7.6yrs. Overall prevalence of sarcopenia was 10% and of severe sarcopenia was 4.2%. Sarcopenia prevalence was higher in rural (14.8%) than urban (6.8%) participants and in men (12.5%) than women (8%, all p<0.05). Muscle mass, grip strength and SPPB score were all higher in urban than rural participants (p<0.05). Older age, rural residence, inadequate protein intake, and lower socio-economic status were independently associated with sarcopenia. In this middle-aged group, sarcopenia prevalence was similar to that observed in older Western populations, over 100% higher among rural than urban participants, and higher amongst men than women. Age, location, protein intake and socioeconomic status were factors associated with sarcopenia. Given this rapidly increasing population of older adults in India there is an urgent need to plan strategies for early sarcopenia diagnosis and management, especially in rural populations.

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.

Standardization of Weightage Assigned to Different Segments of the Hand X-ray for Assessment of Bone Age by the Greulich-Pyle Method.

Introduction: Bone age (BA) assessment is important in evaluating disorders of growth and puberty; the Greulich and Pyle atlas method (GP) is most used. We aimed to determine the weightage to be attributed by raters to various segments of the hand x-ray, namely, distal end of radius-ulna (RU), carpals, and short bones for rating bone age using the GP atlas method. Methods: 692 deidentified x-rays from a previous study (PUNE-dataset) and 400 from the Radiological Society of North America (RSNA-dataset) were included in the study. Mean of BA assessed by experienced raters was termed reference rating. Linear regression was used to model reference age as function of age ratings of the three segments. The root-mean-square-error (RMSE) of segmental arithmetic mean and weighted mean with respect to reference rating were computed for both datasets. Results: Short bones were assigned the highest weightage. Carpals were assigned higher weightage in pre-pubertal PUNE participants as compared to RSNA, vice-versa in RU segment of post-pubertal participants. The RMSE of weighted mean ratings was significantly lower than for the arithmetic mean in the PUNE dataset. Conclusion: We thus determined weightage to be attributed by raters to segments of the hand x-ray for assessment of bone age by the GP method.

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.