Uptrend in distress and psychiatric symptomatology in pregnant women during the coronavirus disease 2019 pandemic
Bibliographic record
Abstract
Abstract Introduction Prenatal maternal distress has a negative impact on the course of pregnancy, fetal development, offspring development, and later psychopathologies. The study aimed to determine the extent to which the coronavirus disease 2019 (COVID‐19) pandemic may aggravate the prenatal distress and psychiatric symptomatology of pregnant women. Material and methods Two cohorts of pregnant volunteer women were evaluated, one that was recruited before the COVID‐19 pandemic (n = 496) through advertisements in prenatal clinics in Quebec, Canada, from April 2018 to March 2020; the other (n = 1258) was recruited online during the pandemic from 2 April to 13 April 2020. Prenatal distress and psychiatric symptomatology were measured with the Kessler Distress Scale (K10), Post‐traumatic Checklist for DSM‐5 (PCL‐5), Dissociative Experiences Scale (DES‐II), and Positive and Negative Affect Schedule (PANAS). Results The 1754 pregnant women (M age = 29.27, SD = 4.23) were between 4 and 41 gestational weeks (M = 24.80, SD = 9.42), were generally educated (91.3% had post‐high‐school training), and financially well‐resourced (85.3% were above the low‐income cut‐off). A multivariate analysis of covariance controlling for age, gestational age, household income, education, and lifetime psychiatric disorders showed a large effect size (ES) in the difference between the two cohorts on psychiatric symptoms (Wilks’ λ = 0.68, F 6,1400 = 108.50, P < .001, partial η 2 = 0.32). According to post‐hoc analyses of covariance, the COVID‐19 women reported higher levels of depressive and anxiety symptoms (ES = 0.57), dissociative symptoms (ES = 0.22 and ES = 0.25), symptoms of post‐traumatic stress disorder (ES = 0.19), and negative affectivity (ES = 0.96), and less positive affectivity (ES = 0.95) than the pre‐COVID‐19 cohort. Women from the COVID‐19 cohort were more likely than pre‐COVID‐19 women to present clinically significant levels of depressive and anxiety symptoms (OR = 1.94, χ 2 [1] = 10.05, P = .002). Multiple regression analyses indicated that pregnant women in the COVID‐19 cohort having a previous psychiatric diagnosis or low income would be more prone to elevated distress and psychiatric symptoms. Conclusions Pregnant women assessed during the COVID‐19 pandemic reported more distress and psychiatric symptoms than pregnant women assessed before the pandemic, mainly in the form of depression and anxiety symptoms. Given the harmful consequences of prenatal distress on mothers and offspring, the presently observed upsurge of symptoms in pregnant women calls for special means of clinical surveillance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".