713 Sleep of infants and toddlers during 12 months of the COVID-19 pandemic
Bibliographic record
Abstract
Abstract Introduction SARS-CoV-2 changed the lives of children and their parents in 2020. To our knowledge, no studies have examined infant and toddler sleep during this pandemic. We sought to compare parent-reported sleep characteristics of infants and toddlers over successive quarters of the past year. Methods Parents of children aged 0–36 months were surveyed primarily in the Midwestern USA between 01/17/2020 and 12/07/2020. Each parent responded only once. Age was categorized as: <6 months, 6–12 months, 12–24 months, and 24–36 months. Income was categorized as: <$50,000, $50-100,000, $100-150,000, and >$150,000. The year was divided into quarters. Multivariable linear regression included Total Sleep Time (TST), Sleep Onset Latency (SOL) and parental frustration with sleep (any frustration, scale of 1–5) as dependent variables and year quarter, child’s age, prematurity, child’s comorbidities, maternal age (during their child’s birth), parenting experience, household income, and room sharing as independent variables. Logistic regression included nap consistency (napping at the same time daily) as the dependent variable, and year quarter, child’s age, prematurity, comorbidity, maternal age, parenting experience, household income, and room sharing as independent variables. Results Of 594 children, mean age was 18.5±9.7 months and 52% were female. Prematurity and comorbidities were reported for 8% and 15%, respectively. Mean maternal age was 31.8±4.5 years. Neither TST (β=-0.488; p= 0.16) nor SOL (β= 0.029; p=0.23) were associated with year quarter. SOL was 3 minutes less for each increase in income category (β =-0.051; p= 0.003). TST (β = -0.994; p<0.001) and SOL (β =0.092; p<0.0001) were most associated with child’s age. Parental frustration was associated with child’s age (β=0.12; p= 0.04), comorbidity (β=0.30; p=0.05) and room sharing (β= -0.38; p=0.006), but not year quarter. Nap consistency was associated with increased child age category (OR 1.47; 95% CI 1.13, 1.94) and lack of room sharing (OR=2.09; 1.10, 3.97), but not year quarter. Conclusion Parent-estimated TST, nap consistency and sleep-related frustration did not differ significantly over the first 12 months of the pandemic. Yet, our results underscore that special attention should be given to the sleep of infants and toddlers with comorbidities, who share a room, and who have a lower household income. Support (if any) 2T32HL110952-06
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".