Child stature, maternal education, and early childhood development in Nigeria

Associations between sleep opportunity, sleep problems, and social jetlag and toddlers' adiposity: A cross-sectional study

This study aims to analyze the associations between sleep characteristics, including sleep opportunity, problems and social jetlag, and toddlers' adiposity. It is part of a larger research project involving 344 children (mean ± SD age of 23.6 ± 6.3 months). Children's length/height, weight and waist circumference were measured at childcare centers. Body Mass Index (BMI), weight-for-length/height, and waist-to-length/height were calculated and classified according to percentiles, serving as surrogates of adiposity. Sleep problems were evaluated through questionnaire. Sleep opportunity was reported by parents and defined as the difference between bedtime and wake-up time. Social jetlag was calculated based on sleep midpoints. Parental questionnaires provided sociodemographic characteristics. Total energy intake was determined from a two-day dietary record, and motor development was assessed using the Bayley-III scales. Generalized linear models were used in the analysis. We found that nighttime sleep opportunity on weekdays was inversely associated with BMI percentile (B = -5.57, 95 % CI -9.79 to -1.35), even with covariates included. Additionally, later bedtime on weekend days were associated with lower weight-for-length/height and waist-to-length/height (B = -4.16, 95 % CI -8.01 to -0.30, and B = -10.62, 95 % CI -15.38 to -5.87, respectively), even when adjusted for potential confounders. Later bedtime on weekdays was associated with lower waist-to-length/height (B = -8.85, 95 % CI -14.95 to -2.74). Social jetlag was associated with lower waist-to-length/height (B = -7.19, 95 % CI -13.47 to -0.90). Future research is needed to clarify these associations and to encourage lifestyle-based interventions aimed at optimizing sleep patterns within this age group.

Food insecurity and early childhood development among children 24-59 months in Nigeria: A multilevel mixed effects modelling of the social determinants of health inequities

Food insecurity (FI) has been identified as a determinant of child development, yet evidence quantifying this association using the newly developed Early Childhood Development Index 2030 (ECDI2030) remains limited. Herein, we provide national estimates of early childhood development (ECD) risks using the ECDI2030 and examined to what extent FI was associated with ECD among children aged 24-59 months in Nigeria. This population based cross-sectional analyses used data from the UNICEF-supported 2021 Multiple Indicator Cluster Survey in Nigeria. The analytic sample comprised children aged 24-59 months (weighted N = 12,112). We measured early childhood development for each child using the ECDI2030, measured across three domains: learning, psychosocial well-being and health. Food insecurity was assessed using the Food Insecurity Experience Scale (FIES), categorized as none/mild, moderate and severe. We fitted mixed-effects multilevel logistic regression models, with random intercepts, to estimate the odds of association between FI status and ECD. A total of 11,494 children aged 24-59 months (mean ± SD age, 43.4 ± 9.9 months), including 5,797 boys (50.2%) and 5,697 girls (49.8%), were included in the study. Approximately 46.4% of children were developmentally off track and about 76% of children lived in food-insecure households. The intercept-only model indicated significant variation in ECD prevalence across communities (τ00 = 0.94, intraclass correlation = 0.22, p < 0.0001), suggesting nonignorable variability in ECD across communities. Adjusting for confounders, we observed no significant association between FI and ECD. However, increasing child's age and disability status appeared as significant risk factors for higher odds of children being developmentally off track. These findings highlight that while FI alone may not explain ECD, a combination of individual and contextual factors plays a crucial role. Future interventions addressing ECD in Nigeria should consider these multidimensional influences to promote optimal child development.

Sleep problems during early and late infancy: Diverse impacts on child development trajectories across multiple domains

OBJECTIVE

Child developmental rate holds predictive value for early-stage developmental trajectories, yet few studies explored how sleep problems during different infancy stages impact this rate. This study aims to investigate the correlation between sleep problems and child developmental trajectories.

METHODS

This study utilized a prospective national cohort of 5006 children in Taiwan. The developmental inventories covering motor, cognitive, language, and socioemotional domains were collected through questionnaire-based in-person home interviews conducted at 3, 12, 24, and 36 months. Sleep problems data, encompassing bedtime regularity, sleep duration, and sleep quality, were collected at 3 and 12 months. Child developmental rate was assessed by analyzing the slope of developmental ability estimates over a period of time.

RESULTS

Bedtime regularity and high-quality sleep at 3 and 12 months were found to be significantly associated with intercepts across all domains (estimate = -0.196∼0.233, p < 0.033). Children with high-quality sleep at 3 months showed enhanced developmental slopes in socioemotional domains (estimate = 0.032, p < 0.001). Atypical sleep duration at 3 and 12 months had differential detrimental association with child development in various domains (estimate = -0.108∼-0.016, p < 0.048).

CONCLUSION

The relationship between sleep problems and child development exhibited variability based on the timing of exposure to these issues. Early exposure to low-quality sleep was significantly related to developmental functions and socioemotional developmental rate, potentially leading to increased developmental disparities as children age. Inadequate sleep duration in late infancy and excessive sleep duration in early infancy were both negatively associated with child development trajectories. Policymakers can use these findings to design targeted sleep programs for optimal child development.

Magnetic resonance imaging brain yield in developmental delay: A developing country perspective

BACKGROUND

Developmental delay (DD) is an important neuro-morbidity in children affecting the quality of life. MRI plays a crucial role by delineating the underlying structural, metabolic, and genetic abnormalities.

AIM

To determine the yield of MRI brain in delineating the various underlying abnormalities and etiological factors in children with DD and to correlate these findings with the clinical presentation.

METHODS

This cross-sectional study enrolled 50 children with the developmental delay between 6 months to 6 years of age.

OUTCOMES AND RESULTS

The mean age was 31.32 ± 20.56 months. The sensitivity of MRI was 72%. 81.3% of the children with microcephaly had abnormal MRI. The most common underlying etiology was hypoxic-ischemic encephalopathy (42%), followed by congenital/developmental defects and metabolic diseases (10% each). The most commonly involved region of the cerebral cortex was the occipital lobe (44%) because of the high occurrence of coexisting hypoglycemic brain injury, which is extremely common in developing countries and rare in developed countries, with 80% of them having visual abnormalities. Frontal lobe involvement was significantly more in children with abnormal motor findings and behavioral changes. Cortical grey matter abnormalities were significantly more in children with seizures.

CONCLUSION AND IMPLICATIONS

It is to be emphasized that children with developmental delays should be evaluated with MRI whenever possible. Apart from hypoxic-ischemic encephalopathy, other etiologies should also be looked for.

Neonatal Mortality and Education Related Inequality in Cesarean Births in Sub-Saharan Africa: Multi-Country Propensity Score Matching and Meta-Analysis

Background: Sub-Saharan African (SSA) newborns are ten times more likely to die in the first month than a neonate born in a high-income country. The objective of this study was to examine the relationship between educational attainment and neonatal mortality (NM) among women with cesarean section (CS) deliveries in SSA countries. Methods: Using data from recent demographic and health surveys from 33 countries in SSA, we applied propensity score matching to estimate the effect of education attainment on post-CS neonatal mortality using a propensity-matched cohort where being educated was defined as completing at least primary school education Results: The number of reported CS births ranged from 186 in Niger to 1695 in Kenya. The odds of neonatal mortality between uneducated and educated women ranged from as low as 2.31 in Senegal to 35.5 in Zimbabwe, with a pooled overall risk for NM from all of the countries of OR 2.54 (95% CI: 1.72–3.74) and aOR 1.7 (95% CI: 1.12–2.57). From the 17,220 respondents, we successfully matched 11,162 educated respondents with 2146 uneducated respondents. Uneducated women had a 6% risk compared to a 2.9% risk among educated women for neonatal mortality, with an overall risk of 3.4%; babies from uneducated women were twice as likely to die compared to babies from educated women, RR 2.1 (95% CI, 1.69–2.52). Conclusion: Neonates from uneducated women were twice as likely to die following CS delivery than neonates from educated women. This evidence suggests that a means of achieving Sustainable Development Goal target 3.2 to lower newborn and child mortality is ensuring that everyone has access to high-quality care with efforts made at ensuring education for all and improving socio-economic conditions.