Pandemic Babies: Developmental Outcomes in Preschool-Aged Children Born During the COVID-19 Era
Bibliographic record
Abstract
Early life experiences and the process of exploration play a vital role in shaping brain development and lifelong learning. In March 2020, population-wide restrictions were imposed due to the COVID-19 pandemic. It remains to be determined whether having been raised under the global stress and restrictions of COVID-19 has influenced children’s development as they enter formal schooling. The aim of this study was to examine the extent to which having more than 50% of one’s first year of life and/or prenatal period in the COVID-19 era influences the developmental trajectory in preschool. The study compared 3-to 5-year-old children born before the pandemic (n = 63) with those who were five months or younger at its onset (n = 40). Variables assessed included executive function skills, vocabulary, and common developmental domains. Using the BRIEF-P as a standardized measure of executive function, the results demonstrate that, the pandem-ic-born cohort exhibit greater impairments than those born before the pandemic. There was also a significant increase in reports of speech and language therapy enrollment; frequent ear infections; diagnoses of hearing, speech, or language impairments; and delays in reaching developmental milestones. The pandemic-born cohort additionally reported delays in fine motor skills compared to the pre-pandemic cohort. The present study underscores the urgent need for additional resources to better support children in this cohort as they begin formal schooling.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".