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Risk factors affecting child cognitive development: a summary of nutrition, environment, and maternal-child interaction indicators for sub-Saharan Africa.

ABSTRACT: An estimated 200 million children worldwide fail to meet their development potential due to poverty, poor health and unstimulating environments. Missing developmental milestones has lasting effects on adult human capital. Africa has a large burden of risk factors for poor child development. The objective of this paper is to identify scope for improvement at the country level in three domains--nutrition, environment, and mother-child interactions. We used nationally representative data from large-scale surveys, data repositories and country reports from 2000 to 2014. Overall, there was heterogeneity in performance across domains, suggesting that each country faces distinct challenges in addressing risk factors for poor child development. Data were lacking for many indicators, especially in the mother-child interaction domain. There is a clear need to improve routine collection of high-quality, country-level indicators relevant to child development to assess risk and track progress.

SUBMITTER: Ford ND

PROVIDER: S-EPMC4800975 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Risk factors affecting child cognitive development: a summary of nutrition, environment, and maternal-child interaction indicators for sub-Saharan Africa.

Ford N D ND Stein A D AD

Journal of developmental origins of health and disease 20150911 2

An estimated 200 million children worldwide fail to meet their development potential due to poverty, poor health and unstimulating environments. Missing developmental milestones has lasting effects on adult human capital. Africa has a large burden of risk factors for poor child development. The objective of this paper is to identify scope for improvement at the country level in three domains--nutrition, environment, and mother-child interactions. We used nationally representative data from large ...[more]

PMID: 26358240

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Project description:BackgroundDespite major improvements in child survival over the past decade, many children in low and middle-income countries (LMICs) remain at risk of not reaching their developmental potential due to malnutrition, poor health, and a lack of stimulation. Maternal engagement and stimulation have been identified as some of the most critical inputs for healthy development of children. However, relatively little evidence exists on the links between maternal stimulation and child development exists in sub-Saharan Africa (SSA). This current paper aims to identify the associations between maternal stimulation and child development in Kenya and Zambia, as well as the activities that are most predictive of developmental outcomes in these settings.MethodsWe conducted a descriptive study using data from a prospective study in Kenya and Zambia. The study included three rounds of data collection. Children were on average 10 months old in round one, 25 months old in round two, and 36 months old in round three. The primary exposure variable of interest was maternal stimulation activities, which we grouped into cognitive, language, motor, and socio-emotional activities. The outcome of interest was child development measured through the Third Edition of the Ages and Stages Questionnaire (ASQ-3). Linear regression models were used to estimate the associations between overall maternal stimulation and domain-specific maternal stimulation and child development across the three rounds of the survey.ResultsHigher maternal stimulation scores were associated with higher ASQ scores (effect size = 0.25; 95% CI: 0.19, 0.31) after adjusting for other confounders. For domain specific and child development (ASQ scores), the largest effect size (ES) was found for language stimulation (ES = 0.15) while weakest associations were found for socio-emotional domain activities (ES= -0.05). Overall maternal stimulation was most strongly associated with gross motor development (ES = 0.21) and the least associated with problem-solving (ES = 0.16).ConclusionOur study findings suggest a strong positive link between maternal stimulation activities and children's developmental outcomes among communities in poor rural settings.Trial registrationNA (not a clinical trial).

Project description:BackgroundAggregate trends can be useful for summarizing large amounts of information, but this can obscure important distributional aspects. Some population subgroups can be worse off even as averages climb, for example. Distributional information can identify health inequalities, which is essential to understanding their drivers and possible remedies.MethodsUsing publicly available Demographic and Health Survey (DHS) data from 41 sub-Saharan African countries from 1986 to 2019, we analyzed changes in coverage for eight key maternal and child health indicators: first dose of measles vaccine (MCV1); Diphtheria-Pertussis-Tetanus (DPT) first dose (DPT1); DPT third dose (DPT3); care-seeking for diarrhea, acute respiratory infections (ARI), or fever; skilled birth attendance (SBA); and having four antenatal care (ANC) visits. To evaluate whether coverage diverged or converged over time across the wealth gradient, we computed several dispersion metrics including the coefficient of variation across wealth quintiles. Slopes and 5-year moving averages were computed to identify overall long-term trends.ResultsAverage coverage increased for all quintiles and indicators, although the range and the speed at which they increased varied widely. There were small changes in the wealth-related gap for SBA, ANC, and fever. The wealth-related gap of vaccination-related indicators (DPT1, DPT3, MCV1) decreased over time. Compared to 2017, the wealth-gap between richest and poorest quintiles in 1995 was 7 percentage points larger for ANC and 17 percentage points larger for measles vaccination.ConclusionsMaternal and child health indicators show progress, but the distributional effects show differential evolutions in inequalities. Several reasons may explain why countries had smaller wealth-related gap trends in vaccination-related indicators compared to others. In addition to service delivery differences, we hypothesize that the allocation of development assistance for health, the prioritization of vaccine-preventable diseases on the global agenda, and indirect effects of structural adjustment programs on health system-related indicators might have played a role.

Project description:Sub-Saharan Africa represents 69% of the total number of individuals living with HIV infection worldwide and 72% of AIDS deaths globally. Pulmonary infection is a common and frequently fatal complication, though little is known regarding the lower airway microbiome composition of this population. Our objectives were to characterize the lower airway microbiome of Ugandan HIV-infected patients with pneumonia, to determine relationships with demographic, clinical, immunological, and microbiological variables and to compare the composition and predicted metagenome of these communities to a comparable cohort of patients in the US (San Francisco). Bronchoalveolar lavage samples from a cohort of 60 Ugandan HIV-infected patients with acute pneumonia were collected. Amplified 16S ribosomal RNA was profiled and aforementioned relationships examined. Ugandan airway microbiome composition and predicted metagenomic function were compared to US HIV-infected pneumonia patients. Among the most common bacterial pulmonary pathogens, Pseudomonas aeruginosa was most prevalent in the Ugandan cohort. Patients with a richer and more diverse airway microbiome exhibited lower bacterial burden, enrichment of members of the Lachnospiraceae and sulfur-reducing bacteria and reduced expression of TNF-alpha and matrix metalloproteinase-9. Compared to San Franciscan patients, Ugandan airway microbiome were significantly richer, and compositionally distinct with predicted metagenomes that encoded a multitude of distinct pathogenic pathways e.g secretion systems. Ugandan pneumonia-associated airway microbiome is compositionally and functionally distinct from those detected in comparable patients in developed countries, a feature which may contribute to adverse outcomes in this population. Please note that the data from the comparable cohort of patients in the USUS data was published as supplemental material of PMID: 22760045 but not submitted to GEO The 'patient_info.txt' contains 12 clinical, 7 immunological and 3 microbiological variables for each patient.

Dataset Information

Risk factors affecting child cognitive development: a summary of nutrition, environment, and maternal-child interaction indicators for sub-Saharan Africa.

Publications

Risk factors affecting child cognitive development: a summary of nutrition, environment, and maternal-child interaction indicators for sub-Saharan Africa.

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