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Background/objective: The complex interplay between adiposity, bone health and cardiometabolic risk (CMR) factors is unclear in Indian children. We aimed to investigate the mediating role of number of CMR factors on the relationship between fat % and bone mineral content (BMC) % in South Indian children aged 5-16 years., Subjects and Methods: Healthy children (n = 317), from India, underwent anthropometric, blood biochemistry, blood pressure, along with body composition and BMC assessments using Dual-energy X-ray absorptiometry. Based on the number of CMR factors, children were categorised into three groups: 0, 1 and ≥ 2. Analysis of variance was used to compare the parameters between the CMR groups and mediation analysis was performed to examine if the number of CMR factors mediated the relationship between fat % and BMC %., Results: The prevalence of 0, 1 and ≥ 2 CMR factors was 42.3%, 33.9% and 23.9% respectively; mean BMC % was lowest in ≥ 2 CMR group. In the whole group, BMC % had significant negative correlation with fat % (r = -0.68, p < 0.0001) and positive correlation with lean % (r = 0.64, p < 0.0001). Adjusted for age and sex, results suggested significant mediating effect of number of CMR factors on the relationship between fat % and BMC % (Average Causal Mediation Effects =-0.002, bootstrapped 95% CI: -0.0039, -0.0001, p < 0.01), but losing significance when adjusted for co-variates., Conclusion: Number of CMR factors mediates the relationship between fat % and BMC % in Indian children. Further studies are needed to confirm these findings, understand mechanisms and plan appropriate strategies., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Purpose of Review: This paper explored the potential of digital health in idiopathic inflammatory myopathies (IIMs), with a focus on self-management. Digital self-management technology includes tailored treatment plans, symptom tracking, educational resources, enhanced communication, and support for long-term planning., Recent Findings: After arguing the importance of digital health in IIMs management, from diagnosis until treatment, our literature review revealed a notable gap in research focusing on the efficacy of digital self-management interventions for individuals with IIMs, with no randomised controlled trials or observational studies addressing this topic. Our review further highlighted the significant unmet need for research in self-management interventions for individuals with IIMs. The absence of studies underscores the necessity for collaborative efforts to address this gap and develop personalised, effective strategies for managing IIMs using digital technology. Individuals with IIMs deserve tailored self-management approaches akin to those available for other rheumatic and musculoskeletal diseases., (© 2024. The Author(s).)

Background: Accurate estimation of body composition, particularly, Body Cell Mass (BCM), which is independent of hydration status is important in children with cancer. This study aimed to accurately measure the anthropometry and body composition of children with Acute Lymphoblastic Leukaemia (ALL) at diagnosis and compare them with healthy children from South India., Methods: This was a cross-sectional study in children aged 2 to 8 y with ALL from St. John's Medical College Hospital, Bengaluru, and age and sex-matched, normal-weight children recruited as controls from communities. Anthropometry (weight, height, circumferences), skinfolds and body composition measurements using a whole-body potassium counter were performed. Body mass index-for-age, weight and height for age z-scores were calculated using WHO child growth standards. Biochemical markers, dietary intake and physical activity details were recorded. Categorical and continuous variables were analyzed by chi-square and independent t-tests respectively.     Results: The mean age of the children with ALL (n = 39) was 4.6±1.9 y and control group (n=39) was 4.7±1.9 y; 61.5% were boys. The prevalence of underweight, overweight/obesity and stunting were 17.9%, 7.7%, and 10.3% respectively. The mean weight and height, of children with ALL and children in the control group were 16.8±6.2 kg and 16.4±4.1 kg, 104.3±14.9 cm and 105.1±12.2 cm, respectively with no statistical difference. Children with ALL showed lower body cell mass index kg/m2 (4.6± 0.8), compared to children in the control group (4.7±0.9) p=0.527, but higher fat mass index kg/m2 (3.6±1.1 vs. 3.4±0.8) p=0.276., Conclusion: At diagnosis, anthropometric and body composition measurements were similar between children with ALL and children in the control group. The BCM showed a non-significant trend of being lower in children with ALL, which requires close monitoring during treatment. Evaluating early-stage nutritional status and body composition can help in planning appropriate interventions during treatment to prevent long term non-communicable diseases.

Background: Early life growth trajectories of Indian small for gestational age (SGA) infants are sparse. This study aimed to compare longitudinal growth in appropriate for gestational age (AGA) and SGA infants during their first year of life., Methods: Apparently healthy term infants (52 SGA, 154 AGA) were recruited at birth and followed up till 1 year. Parental, sociodemographic characteristics and feeding patterns were recorded. Anthropometric measurements were assessed at birth, 3, 6, 9 and 12 months of age; Z scores and growth velocity at 3-month intervals were computed. Longitudinal measurements were compared between the two groups, using the two-way Friedmans test. Median regression with mixed effects was used to adjust covariates; p value <0.05 was considered statistically significant., Result: AGA infants had significantly higher median weight (kg) (2.87 (2.67, 3.04) vs 2.39 (2.25, 2.54)) at birth, (7.08 (6.50, 7.54) vs 6.49 (6.13, 6.78)) at 6 months, (8.64 (7.92, 9.14) vs 7.90 (7.36, 8.54)) at 12 months, median length (cm) ((48.10 (47.20, 49.30) vs 46.75 (45.43, 47.50)) at birth, (65.50 (64.23, 66.98) vs 63.33 (62.26, 65.28)) at 6 months, (73.30 (71.58, 74.66) vs 71.55 (70.00, 73.30)) at 12 months. SGA infants had comparable weight velocity at all intervals except 9-12 months (6.62 (6.45, 6.79) vs (6.70 (6.51, 6.85)), being significantly higher than AGA infants. Differences in skinfold thicknesses between groups were observed only at birth. Exclusivity of breast feeding was significantly higher at 3 months in AGA, compared to SGA infants (80.9% vs 57.8%). Length velocity was comparable at all ages between groups. Sexual dimorphism was observed in the growth velocities of both groups., Conclusion: SGA infants grew in parallel to AGA infants, having significantly lower anthropometric measurements at all time points. However, growth velocities were similar; SGA infants had significantly higher weight velocity from 9 to 12 months. Longitudinal studies beyond 1 year of age, using body composition are needed to determine the quality of growth in Indian infants., Competing Interests: Competing interests: None to declare., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Competing Interests: We declare no competing interests.

Background: The prevalence of childhood obesity is increasing in low-middle income countries like India. Built environment features such as walkability can influence weight-related outcomes but data from developing countries are scanty., Objective: To develop population level walkability index in urban Bengaluru, and examine its association with indices of childhood obesity in school children., Study Design: Nested cross-sectional study based on a cohort., Participants: Normal healthy children aged 6 to 15 years from urban schools in Bengaluru. The children were stratified into different land use classification such as residential, commercial and open space based on residential address., Methods: Anthropometric data, body composition data, measured using air displacement plethysmography., Outcomes: Walkability index derived using residential density, street connectivity and land-use mix environment variables., Results: The mean (SD) of age, body mass index (BMI), BMI z-score and percentage body fat (% Body fat) of 292 (50% boys) children were 10.8 (2.9) year, 17.4 (3.3) kg/m2, -0.27 (1.35) and 20.9% (8.8), respectively. The mean (SD) walkability index was 16.5, which was negatively associated with BMI (slope -0.25 and -0.08) and percentage body fat (slope -0.47 and -0.21) for age 5 and 10 years, respectively in children, but the effects decreased with increasing age., Conclusions: The findings of this pilot study suggest that the neighborhood walkability may be associated with the obesity indices in younger children. Future longitudinal studies are needed to understand how built environment affects health and body composition of children in India and other low-middle income countries.

Background: Accurate methods are needed to measure body fat mass (FM), particularly in South Asian children who are thought to have greater adiposity for a given body size. The accuracy of simple 2-compartment (2C) models of measuring FM depends on the primary measurement of the fat free mass (FFM) and the validity of assumed constants for FFM hydration and density. These have not been measured in this particular ethnic group., Objectives: To measure FFM hydration and density in South Indian children using a 4-compartment (4C) model and to compare FM estimates from this 4C-model with 2C-model-based estimates from hydrometry and densitometry, using literature-reported FFM hydration and density in children., Methods: This study included 299 children (45% boys), aged 6-16 y from Bengaluru, India. Total body water (TBW), bone mineral content (BMC), and body volume were measured using deuterium dilution, dual-energy X-ray absorptiometry, and air displacement plethysmography, respectively, to calculate the FFM hydration and density, and the FM using 4C and 2C models. The agreement between FM estimates from 2C and 4C models was also evaluated., Results: Mean FFM hydration and density were 74.2% ± 2.1% and 71.4% ± 2.0% and 1.095 ± 0.008 kg/L and 1.105 ± 0.008 kg/L in boys and girls respectively, which were significantly different from published values. Using the presently estimated constants, the mean hydrometry-based FM (as % body weight) estimates decreased by 3.5% but increased by 5.2% for densitometry-based 2C methods. When 2C-FM (using previously reported FFM hydration and density) were compared with 4C-FM estimates, the mean difference was -1.1 ± 0.9 kg for hydrometry and 1.6 ± 1.1 kg for densitometry., Conclusions: Previously published constants of hydration and density of FFM may induce errors of -12% to +17% in FM (kg) when using different 2C models in comparison to the 4C models in Indian children. J Nutr 20xx;x:xx., (Copyright © 2022 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.)