ArticleDevelopmental science2026
Exploring a Range of Potential Factors Promoting and Constraining EF in South African Preschoolers.
Article in Developmental science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundSocioeconomic disadvantage is widely associated with poorer cognitive and educational outcomes. However, emerging evidence suggests that children in low-income contexts may demonstrate resilience in executive function (EF) development. This study examined the predictors of EF in South African preschoolers from disadvantaged communities to identify modifiable, context-specific influences.
methods125 Children (aged 3-5 years) and their caregivers were recruited from 15 early childhood centers in Cape Town. Children completed three tablet-based EF tasks from the Early Years Toolbox measuring working memory, inhibition, shifting, while caregivers reported on demographic variables, household assets, child sleep, child screen time, child exposure to violence, and parenting practices. Multiple linear regressions examined predictors of child EF, with exploratory analyses on a subset (n = 22) for hair cortisol analysis.
resultsOlder child age (β = 0.37, p < 0.001), caregiver secondary education (β = 0.22, p = 0.003), and fewer sleep difficulties (β = -0.45, p = 0.042) significantly predicted higher child EF scores, together explaining 25% of variance. Household assets, screen time, violence exposure, and parenting scores were non-significant. In the subsample, hair cortisol concentration correlated positively with EF (ρ = 0.55, p = 0.009), suggesting potential adaptive calibration under adversity.
conclusionsFindings highlight that modifiable proximal factors (e.g., caregiver education and child sleep) shape EF development more strongly than socioeconomic indicators. Results challenge the presumed universality of SES-EF gradients and underscore the importance of culturally grounded, contextually validated measures for understanding resilience and early cognitive development in Majority World settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.