Cohort profile: Impact of Maternal and Paternal Mental Health – Assessing Concurrent Depression, Anxiety and Comorbidity in the Canadian Family (IMPACT study)
Bibliographic record
Abstract
PURPOSE: This paper describes a prospective cohort, Impact of Maternal and Paternal Mental Health: Assessing Concurrent Depression, Anxiety and Comorbidity in The Canadian Family (IMPACT) study, which followed maternal-paternal dyads and their children across the first 2 years post partum. PARTICIPANTS: A total of 3217 cohabitating maternal-paternal dyads were recruited into the study from 2014 to 2018. Each dyad member separately completed online questionnaires at baseline (<3 weeks post partum) and again at 3, 6, 9, 12, 18 and 24 months on a variety of measures, including mental health, parenting environment, family functioning and child health and development. FINDINGS TO DATE: At baseline, the mean maternal age was 31.9±4.2 years and 33.8±5.0 years for fathers. Overall, 12.8% of families had a household income below the poverty line of $C50 000, and 1 in 5 mothers and 1 in 4 fathers were not born in Canada. One in 10 women experienced depressive symptoms during pregnancy (9.7%) and 1 in 6 had markedly anxious symptoms (15.4%) while 1 in 20 men reported feeling depression during their partner's pregnancy and 1 in 10 had marked anxiety (10.1%). Approximately 91% of mothers and 82% of fathers completed the 12-month questionnaire as did 88% of mothers and 78% of fathers at 24 months postpartum. FUTURE PLANS: The IMPACT study will examine the influence of parental mental illness in the first 2 years of a child's life with a focus on understanding the mechanisms by which single (maternal or paternal) versus dual (maternal and paternal) parental depression, anxiety and comorbidity symptoms affect family and infant outcomes. Future analyses planned to address the research objectives of IMPACT will consider the longitudinal design and dyadic interparental relationship.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| 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".