The Association Between Breastfeeding and Growth Among Infants with Moderately Low Birth Weight: A Prospective Cohort Study.

OBJECTIVE: To assess the association between breastfeeding competency, as determined by Latch, Audible swallowing, Type of nipple, Comfort, and Hold (LATCH) and Preterm Infant Breastfeeding Behavior Scale (PIBBS) scores, and exclusive breastfeeding and growth among infants with low birth weight (LBW) in India, Malawi, and Tanzania. STUDY DESIGN: We conducted LATCH and PIBBS assessments among mother-infant dyads enrolled in the Low Birthweight Infant Feeding Exploration (LIFE) observational study of infants with moderately LBW (1500g-2499 g) in India, Malawi, and Tanzania. We analyzed feeding and growth patterns among this cohort. RESULTS: We observed 988 infants. We found no association between LATCH or PIBBS scores and rates of exclusive breastfeeding at 4 or 6 months. Higher week 1 LATCH and PIBBS scores were associated with increased likelihood of regaining birth weight by 2 weeks of age [LATCH: aRR 1.42 (95% CI 1.15, 1.76); PIBBS: aRR 1.15 (95% CI 1.07, 1.23); adjusted for maternal age, parity, education, residence, delivery mode, LBW type, number of offspring, and site]. Higher PIBBS scores at 1 week were associated with improved weight gain velocity (weight-for-age z-score change) at 1, 4, and 6 months [adjusted beta coefficient: 1 month 0.04 (95% CI 0.01, 0.06); 4 month 0.04 (95% CI 0.01, 0.06); and 6 month 0.04 (95% CI 0.00, 0.08)]. CONCLUSION: Although week 1 LATCH and PIBBS scores were not associated with rates of exclusive breastfeeding, higher scores were positively associated with growth metrics among infants with LBW, suggesting that these tools may be useful to identify dyads who would benefit from early lactation support.

Anthropometric and sociodemographic variables, but not preconception or prenatal maternal nutrition supplementation, predict neurodevelopment in offspring of the 'Women First' trial.

Multiple factors influence infant and child neurodevelopment in low resource settings. In offspring of participants in the preconception maternal nutrition trial, Women First (WF), we examined the impact of providing a preconception (Arm 1) or prenatal (Arm 2) nutrient supplement (compared to controls, Arm 3) on neurodevelopmental outcomes at 24 months; predictors of neurodevelopment scores; and associations of infant anthropometrics with neurodevelopmental scores. Follow-up visits for anthropometry were conducted at 6-, 12-, 18- and 24-month of age. At 24-months, in a randomized subset, the Bayley Scales of Infant Development, 3rd edition (BSID-III), including cognitive, motor and social-emotional subscales, and the Family Care Indicators (FCI) questionnaire, assessing family and home environment, were completed. Multiple covariates (intervention arm, site, maternal sociodemographic characteristics, FCI subscales, birthweight and 6-24 months' change in anthropometry z-scores, (e.g., ΔLAZ6-2 4) were evaluated by linear regression to predict BSID-III outcomes and to assess associations of anthropometric changes with BSID-III scores. The analysis consisted of 1386 infants (n = 441, 486, 459 for Arms 1, 2 and 3, respectively). None of the domain-specific BSID-III subscale scores differed by maternal intervention arm. Four covariates significantly predicted (p ≤ 0.01) all 3 BSID-III subscales: secondary maternal education, ΔLAZ6 - 24, birthweight >2500 g, and FCI play materials. Linear growth was associated with all domains of neurodevelopment. The results underscore the multi-dimensional aspects of child development represented by the nurturing care framework, including prenatal maternal nutrition, post-natal growth, maternal education for responsive caregiving and opportunities for early learning.

Predictors of Preterm Neonatal Mortality in India and Pakistan: A Secondary Analysis of Data from PURPOSe Study.

Objective. To create a prediction model for preterm neonatal mortality. Methods. A secondary analysis was conducted using data from a prospective cohort study, the Project to Understand and Research Preterm Pregnancy Outcome South Asia. The Cox proportional hazard model was used and adjusted hazard ratios (AHR) with 95% confidence intervals (95% CI) were reported. Results. Overall, 3446 preterm neonates were included. The mean age of preterm neonates was 0.65 (1.25) hours and 52% were female. The preterm neonatal mortality rate was 23.3%. The maternal factors predicting preterm neonatal death was any antepartum hemorrhage, AHR 1.99 (1.60-2.47), while neonatal predictors were preterm who received positive pressure ventilation AHR 1.30 (1.08-1.57), temperature <35.5°C AHR 1.18 (1.00-1.39), and congenital malformations AHR 3.31 (2.64-4.16). Conclusion. This study identified key maternal and neonatal predictors of preterm neonatal mortality, emphasizing the need for targeted interventions and collaborative public health efforts to address disparities and regional variations.