Have you ever wondered how your child's diet or health might affect their development? A recent study in Lusaka, Zambia, found that a child's visual processing speed, which is crucial for learning and development, can be influenced by several factors. These include whether they eat a variety of foods, their health status, and even if they have siblings. The study looked at 299 children and found that those who ate a diverse diet and were healthier had faster visual processing speeds. This is important because slower processing can indicate developmental delays, which are harder to treat if not caught early. It highlights the need for parents to ensure their children are eating well and staying healthy. However, more research is needed to explore these connections in different settings and age groups. Supporting your child's diet and health could be key to enhancing their development.
Could Your Child's Diet Affect Their Developmental Speed?
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What this means for you:
A healthy diet and good health can boost your child's development and learning speed, so prioritize nutrition. What this means for you:
A healthy diet and good health can boost your child's development and learning speed, so prioritize nutrition. View Original Abstract ↓
Saccadic reaction time (SRT), an assessment of visual processing speed, may afford an accurate and unbiased measure of early childhood development (ECD). Few studies have examined SRT in low- and middle-income countries (LMICs), including its drivers. We sought to identify predictors of SRT as well as to assess the correlation between SRT and concurrent measures of ECD [Global Scales of Early Development (GSED) development-for-age Z-score (DAZ), height-for-age Z-score (HAZ), and head circumference-for-age Z-score (HCZ)], among young children in Lusaka, Zambia. We conducted a sub-study among 299 Lusakan children participating in a 2x2 cluster-randomized trial. SRT was assessed at ~31 months using a screen-based setup with a Tobii Pro Fusion tracker. Associations with household, caregiver, and child characteristics were assessed using univariable regression models; predictors significant at the p < 0.20 level were retained in a multivariable model. Pearson correlation coefficients were calculated to assess associations between SRT and other concurrent measures of ECD. In the multivariable model, characteristics found to be significant predictors of SRT included: being the only child <5 in the household at baseline (β: -10.02, 95% CI: -19.71, -0.33, p = 0.04), length-for-age Z-score (LAZ) at baseline (β: -3.17, 95% CI: -6.31, -0.04, p = 0.047), consuming ≥4 food groups in the past day (β: -10.42, 95% CI: -19.98, -0.86, p = 0.03), and having diarrhea in the past 2 weeks (β: 12.38, 95% CI: 0.71, 24.06, p = 0.04). SRT was significantly negatively correlated with HAZ (-0.176, p < 0.01) and HCZ (-0.132, p < 0.05), but not GSED DAZ. Overall, we identified several significant predictors of SRT among young children in Lusaka, Zambia, including birth spacing, baseline LAZ, dietary diversity, and diarrheal disease. Further research is needed, including in different age groups and geographic locations, to better understand the drivers of slow SRT, and poor ECD generally, in LMICs.