Protocol for the Canadian Pregnancy During the COVID-19 Pandemic study
Bibliographic record
Abstract
BackgroundThe COVID-19 pandemic and countermeasures implemented by governments around the world have led to dramatically increased symptoms of depression and anxiety. Pregnant women may be particularly vulnerable to the negative psychological effects of COVD-19 public health measures, because they represent a demographic that is most affected by disasters and because pregnancy itself entails significant life changes that require major psychosocial and emotional adjustments. The Pregnancy During the COVID-19 Pandemic (PdP) study was designed to investigate the associations between exposure to objective hardship caused by the pandemic, perceived stress and psychological distress in pregnant individuals, and developmental outcomes in their offspring.MethodsThe PdP study comprises a prospective longitudinal cohort of pregnant individuals (at enrollment) with repeated follow-ups during pregnancy and the postpartum period. Participants were eligible if they were: pregnant, ≥17 years, ≤35 weeks gestation at study enrollment, living in Canada, and able to read and write in English or French. Participant recruitment via social media (Facebook, Instagram) began on April 5, 2020 and is ongoing. At enrollment, participants completed an initial survey that assessed demographic and socioeconomic characteristics, previous pregnancies and births, pre-pregnancy health, health conditions during pregnancy, medications, psychological distress, social support, and hardships experienced because of COVID-19 (e.g., lost employment, loved one dying). For the first three months following the initial survey, participants received a monthly email link to complete a follow-up survey that asked about experiences since the previous survey. After three months, follow-up surveys were sent bi-monthly to reduce participant burden. For each of these surveys, participants were first asked if they were still pregnant and then routed either to the next prenatal survey or to the delivery survey. In the postpartum, surveys were sent at 3-, 6-, and 12-months of infant age to assess maternal psychological distress and infant development.DiscussionThis longitudinal investigation seeks to elucidate the associations between hardships, maternal psychological distress, child development during COVID-19, and risk and resilience factors that amplify or ameliorate these associations. Findings are intended to generate knowledge about the psychological consequences of pandemics on pregnant individuals and point toward prevention and intervention targets.
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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 | 0.021 | 0.022 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.111 | 0.015 |
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".