A principal components approach to parent-to-newborn body composition associations in South India

Background: size at birth is influenced by environmental factors, like maternal nutrition and parity, and by genes. Birth weight is a composite measure, encompassing bone, fat and lean mass. These may have different determinants. The main purpose of this paper was to use anthropometry and principal components analysis (PCA) to describe maternal and newborn body composition, and associations between them, in an Indian population. We also compared maternal and paternal measurements (body mass index (BMI) and height) as predictors of newborn body composition.Methods: weight, height, head and mid-arm circumferences, skinfold thicknesses and external pelvic diameters were measured at 30 ± 2 weeks gestation in 571 pregnant women attending the antenatal clinic of the Holdsworth Memorial Hospital, Mysore, India. Paternal height and weight were also measured. At birth, detailed neonatal anthropometry was performed. Unrotated and varimax rotated PCA was applied to the maternal and neonatal measurements.Results: rotated PCA reduced maternal measurements to 4 independent components (fat, pelvis, height and muscle) and neonatal measurements to 3 components (trunk+head, fat, and leg length). An SD increase in maternal fat was associated with a 0.16 SD increase (?) in neonatal fat (p < 0.001, adjusted for gestation, maternal parity, newborn sex and socio-economic status). Maternal pelvis, height and (for male babies) muscle predicted neonatal trunk+head (? = 0. 09 SD; p = 0.017, ? = 0.12 SD; p = 0.006 and ? = 0.27 SD; p < 0.001). In the mother-baby and father-baby comparison, maternal BMI predicted neonatal fat (? = 0.20 SD; p < 0.001) and neonatal trunk+head (? = 0.15 SD; p = 0.001). Both maternal (? = 0.12 SD; p = 0.002) and paternal height (? = 0.09 SD; p = 0.030) predicted neonatal trunk+head but the associations became weak and statistically non-significant in multivariate analysis. Only paternal height predicted neonatal leg length (? = 0.15 SD; p = 0.003).Conclusion: principal components analysis is a useful method to describe neonatal body composition and its determinants. Newborn adiposity is related to maternal nutritional status and parity, while newborn length is genetically determined. Further research is needed to understand mechanisms linking maternal pelvic size to fetal growth and the determinants and implications of the components (trunk v leg length) of fetal skeletal growt

Association between maternal folate concentrations during pregnancy and insulin resistance in Indian children

AIMS/HYPOTHESIS: In an Indian birth cohort, higher maternal homocysteine concentration in pregnancy was associated with lower birthweight of the offspring. Lower maternal vitamin B12 and higher folate concentrations were associated with higher offspring insulin resistance. Disordered one-carbon metabolism during early development may increase later metabolic risk. We explored these associations in another birth cohort in India at three age points.METHODS: We measured plasma vitamin B12, folate and homocysteine concentrations at 30 ± 2 weeks' gestation in 654 women who delivered at one hospital. Neonatal anthropometry was recorded, and the children's glucose and insulin concentrations were measured at 5, 9.5 and 13.5 years of age. Insulin resistance was estimated using HOMA of insulin resistance (HOMA-IR).RESULTS: Maternal homocysteine concentrations were inversely associated with all neonatal anthropometric measurements (p < 0.05), and positively associated with glucose concentrations in the children at 5 (30 min; p = 0.007) and 9.5 years of age (120 min; p = 0.02). Higher maternal folate concentrations were associated with higher HOMA-IR in the children at 9.5 (p = 0.03) and 13.5 years of age (p = 0.03). Maternal vitamin B12 concentrations were unrelated to offspring outcomes.CONCLUSIONS/INTERPRETATION: Maternal vitamin B12 status did not predict insulin resistance in our cohort. However, associations of maternal homocysteine and folate concentrations with birth size, and with childhood insulin resistance and glycaemia in the offspring, suggest a role for nutritionally driven disturbances in one-carbon metabolism in fetal programming of diabetes

Contribution of food sources to the vitamin B12 status of South Indian children from a birth cohort recruited in the city of Mysore.

OBJECTIVE: There is evidence that subclinical vitamin B12 (B12) deficiency is common in India. Vegetarianism is prevalent and therefore meat consumption is low. Our objective was to explore the contribution of B12-source foods and maternal B12 status during pregnancy to plasma B12 concentrations. DESIGN: Maternal plasma B12 concentrations were measured during pregnancy. Children's dietary intakes and plasma B12 concentrations were measured at age 9.5 years; B12 and total energy intakes were calculated using food composition databases. We used linear regression to examine associations between maternal B12 status and children's intakes of B12 and B12-source foods, and children's plasma B12 concentrations. SETTING: South Indian city of Mysore and surrounding rural areas. SUBJECTS: Children from the Mysore Parthenon Birth Cohort (n 512, 47.1 % male). RESULTS: Three per cent of children were B12 deficient (<150 pmol/l). A further 14 % had 'marginal' B12 concentrations (150-221 pmol/l). Children's total daily B12 intake and consumption frequencies of meat and fish, and micronutrient-enriched beverages were positively associated with plasma B12 concentrations (P=0.006, P=0.01 and P=0.04, respectively, adjusted for socio-economic indicators and maternal B12 status). Maternal pregnancy plasma B12 was associated with children's plasma B12 concentrations, independent of current B12 intakes (P<0.001). Milk and curd (yoghurt) intakes were unrelated to B12 status. CONCLUSIONS: Meat and fish are important B12 sources in this population. Micronutrient-enriched beverages appear to be important sources in our cohort, but their high sugar content necessitates care in their recommendation. Improving maternal B12 status in pregnancy may improve Indian children's status

Public engagement with cohort participants in Scotland and India: How do participants want to shape mental health research?

Introduction We now have the opportunity to disentangle the complexities of lifespan brain health through linking rich birth cohorts data to novel information utilizing health informatics techniques. Wellcome Trust evidenced that efforts to manage and link digital health data require exploring the attitudes of public and data guardians towards this initiative. Objectives and Approach Our teams in Aberdeen, Mysore and Mumbai have established general population cohorts that have provided evidence on the early-life origins of later-life diseases. In 2016, we engaged with the participants of the Aberdeen Children of the 1950s (62-68,N~8,400) in an event attended by 350 study members. We are also engaging with members and data guardians of Mysore Parthenon Cohort (20-21y,N~500), Mysore Birth Records Cohort (51-83y,N~750), and Mumbai Maternal Nutrition Cohort (5-11y,N~1,600). This qualitative project utilises focus groups and individual interviews. The goal is to understand their attitudes and perceived public benefits towards future novel data collection, data platforms and biorepositories. Results The ACONF event attendees were very willing to volunteer for further studies. The highest support was for ‘provide a blood sample’ (92%) and the lowest for ‘take an online survey’ (83%). They were satisfied with data governance but had incomplete understanding of linkage possibilities with their data. Through the ongoing activities in Mysore and in Mumbai, we aim to achieve the following: 1) Develop awareness of health informatics through public engagement with participants and researchers; 2) Explore attitudes and potential barriers to creation of secure data linkage between imaging, laboratory, health data and outcomes to facilitate future linkage studies; 3) Understand what is required for interoperable, secure data storage and plan future biorepository as a resource for researchers that will build over time in India. Conclusion/Implications The proposed activities will inform preparation of a large scale grant to investigate the hypothesis that early life environment affects future risk of mental illness and cognitive ability globally. They will also begin to create a platform of enduring value for future cross-cultural population research

Cardiometabolic Risk Markers in Indian Children: Comparison with UK Indian and White European Children

Objective: UK Indian adults have higher risks of coronary heart disease and type 2 diabetes than Indian and UK European adults. With growing evidence that these diseases originate in early life, we compared cardiometabolic risk markers in Indian, UK Indian and white European children.Methods: Comparisons were based on the Mysore Parthenon Birth Cohort Study (MPBCS), India and the Child Heart Health Study in England (CHASE), which studied 9–10 year-old children (538 Indian, 483 UK Indian, 1375 white European) using similar methods. Analyses adjusted for study differences in age and sex.Results: Compared with Mysore Indians, UK Indians had markedly higher BMI (% difference 21%, 95%CI 18 to 24%), skinfold thickness (% difference 34%, 95%CI 26 to 42%), LDL-cholesterol (mean difference 0.48, 95%CI 0.38 to 0.57 mmol/L), systolic BP (mean difference 10.3, 95% CI 8.9 to 11.8 mmHg) and fasting insulin (% difference 145%, 95%CI 124 to 168%). These differences (similar in both sexes and little affected by adiposity adjustment) were larger than those between UK Indians and white Europeans. Compared with white Europeans, UK Indians had higher skinfold thickness (% difference 6.0%, 95%CI 1.5 to 10.7%), fasting insulin (% difference 31%, 95%CI 22 to 40%), triglyceride (% difference 13%, 95%CI 8 to 18%) and LDL-cholesterol (mean difference 0.12 mmol/L, 95%CI 0.04 to 0.19 mmol/L).Conclusions: UK Indian children have an adverse cardiometabolic risk profile, especially compared to Indian children. These differences, not simply reflecting greater adiposity, emphasize the need for prevention strategies starting in childhood or earlier

Association between maternal nutritional status in pregnancy and offspring cognitive function in childhood and adolescence; a systematic review

Background The mother is the only source of nutrition for fetal growth including brain development. Maternal nutritional status (anthropometry, macro- and micro-nutrients) before and/or during pregnancy is therefore a potential predictor of offspring cognitive function. The relationship of maternal nutrition to offspring cognitive function is unclear. This review aims to assess existing evidence linking maternal nutritional status with offspring cognitive function. Methods Exposures considered were maternal BMI, height and weight, micronutrient status (vitamins D, B12, folate and iron) and macronutrient intakes (carbohydrate, protein and fat). The outcome was any measure of cognitive function in children aged &lt;18 years. We considered observational studies and trials with allocation groups that differed by single nutrients. We searched Medline/PubMed and the Cochrane Library databases and reference lists of retrieved literature. Two reviewers independently extracted data from relevant articles. We used methods recommended by the Centre for Reviews and Dissemination, University of York and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Results Of 16,143 articles identified, 38 met inclusion criteria. Most studies were observational, and from high-income settings. There were few randomized controlled trials. There was consistent evidence linking maternal obesity with lower cognitive function in children; low maternal BMI has been inadequately studied. Among three studies of maternal vitamin D status, two showed lower cognitive function in children of deficient mothers. One trial of folic acid supplementation showed no effects on the children’s cognitive function and evidence from 13 observational studies was mixed. Among seven studies of maternal vitamin B12 status, most showed no association, though two studies in highly deficient populations suggested a possible effect. Four out of six observational studies and two trials (including one in an Iron deficient population) found no association of maternal iron status with offspring cognitive function. One trial of maternal carbohydrate/protein supplementation showed no effects on offspring cognitive function. Conclusions Current evidence that maternal nutritional status during pregnancy as defined by BMI, single micronutrient studies, or macronutrient intakes influences offspring cognitive function is inconclusive. There is a need for more trials especially in populations with high rates of maternal undernutrition. Systematic review registration Registered in PROSPERO CRD42013005702

Diabetes in pregnancy : lessons for developing countries

CITATION: Yajnik, C. et al. 2020. Diabetes in pregnancy : lessons for developing countries, in Macnab, A., Daar, A. & Pauw, C. 2020. Health in transition : translating developmental origins of health and disease science to improve future health in Africa. Stellenbosch: SUN PReSS, doi:10.18820/9781928357759/10.The original publication is available at https://africansunmedia.store.it.si/zaPregnancy diabetes is fast becoming a common condition across the world with developing countries particularly affected. In the short term, maternal hyperglycaemia worsens pregnancy outcomes, but in the long run, it appears to be a precursor to diabetes and cardiovascular disease in the mother and obesity and diabetes in the child. Thus, pregnancy diabetes is thought to contribute to the escalating epidemic of obesity and diabetes. Classic thinking is that pregnancy diabetes consists of pre-gestational diabetes and gestational diabetes. There are considerable confusion and controversy about the diagnosis and management of gestational diabetes. There is increasing evidence that risk factors and metabolic disturbances of gestational diabetes patients are present long before pregnancy, implicating peri-conceptional fetal programming of future obesity and diabetes. This chapter reviews what developing countries need to consider as a public health challenge in the context of gestational diabetes and how to contribute to research that will improve the understanding of the condition: biology, diagnosis, costeffective treatment, and long-term contribution to the health and economy of the nation. A lot can be learned from the experience of the developed world that will help to avoid the pitfalls plaguing this field. Forming a multinational consortium may improve the efficiency of such research.Publisher's versio

Linear Growth and Fat and Lean Tissue Gain during Childhood: Associations with Cardiometabolic and Cognitive Outcomes in Adolescent Indian Children.

We aimed to determine how linear growth and fat and lean tissue gain during discrete age periods from birth to adolescence are related to adolescent cardiometabolic risk factors and cognitive ability.Adolescents born to mothers with normal glucose tolerance during pregnancy from an Indian birth cohort (N = 486, age 13.5 years) had detailed anthropometry and measurements of body fat (fat%), fasting plasma glucose, insulin and lipid concentrations, blood pressure and cognitive function. Insulin resistance (HOMA-IR) was calculated. These outcomes were examined in relation to birth measurements and statistically independent measures (conditional SD scores) representing linear growth, and fat and lean tissue gain during birth-1, 1-2, 2-5, 5-9.5 and 9.5-13.5 years in 414 of the children with measurements at all these ages.Birth length and linear growth at all ages were positively associated with current height. Fat gain, particularly during 5-9.5 years was positively associated with fat% at 13.5 years (0.44 SD per SD [99.9% confidence interval: 0.29,0.58]). Greater fat gain during mid-late childhood was associated with higher systolic blood pressure (5-9.5 years: 0.23 SD per SD [0.07,0.40]) and HOMA-IR (5-9.5 years: 0.24 [0.08,0.40], 9.5-13.5 years: 0.22 [0.06,0.38]). Greater infant growth (up to age 2 years) in linear, fat or lean components was unrelated to cardiometabolic risk factors or cognitive function.This study suggests that factors that increase linear, fat and lean growth in infancy have no adverse cardiometabolic effects in this population. Factors that increase fat gain in mid-late childhood may increase cardiometabolic risk, without any benefit to cognitive abilities

The 2022 India Report Card on physical activity for children and adolescents

Background: With strong evidence of physical inactivity's link to chronic disease and economic burden - particularly with childhood active living behaviors tracking into adulthood - it is imperative to promote physical activity among children and adolescents in India.Objectives: To evaluate active living patterns among Indian children and adolescents.Methods: The India Report Card (IRC) team, which consists of experts in India and Canada, systematically collected and appraised evidence on 11 indicators of active living, including 5 behavioral (Overall Physical Activity, Organized Sport Participation, Active Play, Active Transportation, Sedentary Behavior), 2 individual-level (Physical Fitness, Yoga) and 4 sources of influence (Family and Peers, School, Community and Built Environment, Government). Peer-reviewed articles were appraised based on national representativeness, sample size, and data quality. Grey literature was appraised based on comprehensiveness, validity of the sources, and representativeness. All indicators were assessed against parameters provided by the Active Healthy Kids Global Alliance.Results: Active Transportation and Government Strategies were ranked highest with a B- and C+ grade, respectively. Overall Physical Activity and Schools were assigned a C grade, while Sedentary Behavior and Community and Built Environment were given D grades. Yoga was the lowest ranking indicator with a D- grade. Organized Sport Participation, Active Play, Family and Peers, and Physical Fitness were all graded incomplete.Conclusions: Active Transportation, Government Strategies, and Overall Physical Activity have improved since the 2018 IRC, a positive trend that needs to be translated to other indicators. However, Sedentary Behavior has consistently worsened, with grades C, C-, and D-, in 2016, 2018, and 2022, respectively. Evidence generated by the 2022 IRC suggests opportunities for improvement not only in India, but also the 56 other countries taking part in Global Matrix 4.0.</p