Nicholas Tilton

Integrating nutrition and early child-development interventions among infants and preschoolers in rural India

This article describes the development, design, and implementation of an integrated randomized double‐masked placebo‐controlled trial (Project Grow Smart) that examines how home/preschool fortification with multiple micronutrient powder (MNP) combined with an early child‐development intervention affects child development, growth, and micronutrient status among infants and preschoolers in rural India. The 1‐year trial has an infant phase (enrollment age: 6–12 months) and a preschool phase (enrollment age: 36–48 months). Infants are individually randomized into one of four groups: placebo, placebo plus early learning, MNP alone, and MNP plus early learning (integrated intervention), conducted through home visits. The preschool phase is a cluster‐randomized trial conducted in Anganwadi centers (AWCs), government‐run preschools sponsored by the Integrated Child Development System of India. AWCs are randomized into MNP or placebo, with the MNP or placebo mixed into the childrens food. The evaluation examines whether the effects of the MNP intervention vary by the quality of the early learning opportunities and communication within the AWCs. Study outcomes include child development, growth, and micronutrient status. Lessons learned during the development, design, and implementation of the integrated trial can be used to guide large‐scale policy and programs designed to promote the developmental, educational, and economic potential of children in developing countries.

The home environment and toddler physical activity: an ecological momentary assessment study

Physical activity (PA) promotion/obesity prevention in toddlerhood should include home environments.

Characterisation of anaemia and associated factors among infants and pre-schoolers from rural India

OBJECTIVE In India, national databases indicate anaemia prevalence of 80 % among 6-35-month-old children and 58 % among 36-59-month-old children. The present study aimed to characterise anaemia and the associated factors among infants and pre-schoolers living in rural India. DESIGN Multivariate logistic regression analysis of data collected prior to an intervention trial. Fe-deficiency with anaemia (IDA), Fe deficiency with no anaemia (IDNA) and anaemia without Fe deficiency were defined. Serum ferritin, soluble transferrin receptor (sTfR) and sTfR/log ferritin index were used to indicate Fe status. SETTING Twenty-six villages of Nalgonda district, Telangana, India. Data were collected in community sites. Participants Four hundred and seventy-six infants (aged 6-12 months), 316 pre-schoolers (aged 29-56 months) and their mothers. RESULTS Prevalence of anaemia among infants and pre-schoolers was 66·4 and 47·8 %, prevalence of IDA was 52·2 and 42·1 %, prevalence of IDNA was 22·2 and 29·8 %, prevalence of anaemia without Fe deficiency was 14·2 and 5·7 %. Among infants, anaemia was positively associated with maternal anaemia (OR=3·31; 95 % CI 2·10, 5·23; P<0·001), and sTfR/log ferritin index (OR=2·21; 95 % CI 1·39, 3·54; P=0·001). Among pre-schoolers, anaemia was positively associated with maternal anaemia (OR=3·77; 95 % CI 1·94, 7·30; P<0·001), sTfR/log ferritin index (OR=5·29; 95 % CI 2·67, 10·50; P<0·001), high C-reactive protein (OR=4·39; 95 % CI 1·91, 10·06, P<0·001) and young age (29-35 months: OR=1·92; 05 % CI 1·18, 3·13, P=0·009). CONCLUSIONS Anaemia prevalence continues to be high among infants and pre-schoolers in rural India. Based on sTfR/ferritin index, Fe deficiency is a major factor associated with anaemia. Anaemia is also associated with inflammation among pre-schoolers and with maternal anaemia among infants and pre-schoolers, illustrating the importance of understanding the aetiology of anaemia in designing effective control strategies.

Growth and development among infants and preschoolers in rural India: Caregiver protective/promotive factors:

Economic inequities are common in low and middle-income countries (LMIC), and are associated with poor growth and development among young children. The objectives are to examine whether maternal education and home environment quality: 1) protect children by attenuating the association between economic inequities and children’s growth and development, or 2) promote children’s growth and development, regardless of economic inequities. The sample includes 512 infants and 321 preschoolers in 26 villages in rural India (Project Grow Smart). Data for children: physical growth (weight and length/height measured) and development (Mullen Scales of Early Learning); for mothers/households: economic inequities measured by household assets, education, depressive symptoms, and home environment (HOME Inventory). Data are analyzed with linear mixed models (LMM) for infants and preschoolers separately, adjusted for village/preschool clustering, including asset-by-education/home interactions. Among infants, but not preschoolers, the education/home factor attenuates relations between assets and growth, eliminating differential relations in infant growth between high/low-asset families, suggesting protection. Among infants and preschoolers, the education/home factor is significantly or marginally associated with most child development scales, regardless of economic inequities, suggesting promotion. Strategies to enhance maternal education and home environment quality may protect infants in low-asset families from poor growth, promote development among infants and preschoolers, and prevent early disparities.

Growth and development among infants and preschoolers in rural India: Economic inequities and caregiver protective/promotive factors

Economic inequities are common in low and middle-income countries (LMIC), and are associated with poor growth and development among young children. The objectives are to examine whether maternal education and home environment quality: 1) protect children by attenuating the association between economic inequities and children’s growth and development, or 2) promote children’s growth and development, regardless of economic inequities. The sample includes 512 infants and 321 preschoolers in 26 villages in rural India (Project Grow Smart). Data for children: physical growth (weight and length/height measured) and development (Mullen Scales of Early Learning); for mothers/households: economic inequities measured by household assets, education, depressive symptoms, and home environment (HOME Inventory). Data are analyzed with linear mixed models (LMM) for infants and preschoolers separately, adjusted for village/preschool clustering, including asset-by-education/home interactions. Among infants, but not preschoolers, the education/home factor attenuates relations between assets and growth, eliminating differential relations in infant growth between high/low-asset families, suggesting protection. Among infants and preschoolers, the education/home factor is significantly or marginally associated with most child development scales, regardless of economic inequities, suggesting promotion. Strategies to enhance maternal education and home environment quality may protect infants in low-asset families from poor growth, promote development among infants and preschoolers, and prevent early disparities.

Elevated blood pressure in adolescent girls: correlation to body size and composition

BackgroundTo improve understanding of the pathophysiology of hypertension in adolescents and pave the way for risk stratification, studies have sought to determine the correlates of blood pressure (BP). Inconsistencies in dependent and independent variables have resulted in an elusive consensus. The aim of this report is to examine an inclusive array of correlates of BP, as a continuous (systolic and diastolic BP) and a dichotomous variable.MethodsSubjects were a school-based sample of 730 urban, mostly African American, non-referred 6th and 7th grade girls. To find independent correlates of SBP/DBP, we used a stepwise model selection method based on the Schwarz Bayesian Information Criterion, enabling selection of a parsimonious model among highly correlated covariates. Candidate variables were: age, stature, heart rate, pubertal development, BMI, BMI z-score, waist circumference, waist-to-height ratio (WHtR), body surface area, fat mass (by bioelectrical impedance analysis), fat-free mass (FFM), percentage of body fat, and presence of overweight/obesity.ResultsThe best-fitting models for DBP and SBP (considered separately) included fat-free mass, heart rate and, in the case of SBP, stature. The best-fitting model for high-normal/elevated blood pressure (H-N/EBP) included WHtR with no independent relation of any other variable. The prevalence of H-N/EBP tripled between a WHtR of 0.5 and 0.7.ConclusionsThe easily obtained and calculated WHtR is the strongest correlate of elevated blood pressure among available variables and is a prime candidate for longitudinal studies of predictors of the development of hypertension.Trial registrationClinicalTrials.gov Identifier, NCT00746083