Effect of maternal depression and anxiety on use of health services for infants.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the association between postpartum maternal depressive symptoms or maternal anxiety and health services utilization (HSU) for infants. DESIGN: Telephone survey. SETTING: London-Middlesex region of Ontario. PARTICIPANTS: Mothers of infants 2 to 12 months of age between 2004 and 2005 (N = 655). This sample was drawn from a larger longitudinal cohort of mothers recruited during pregnancy. MAIN OUTCOME MEASURES: Maternal depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale. Anxiety was measured using the State-Trait Anxiety Inventory. Infant HSU outcomes included number of primary care provider (PCP) visits for infants < 6 months of age, number of PCP visits for infants 6 to 12 months of age, emergency department (ED) use, and walk-in clinic (WIC) use. RESULTS: Multivariable regression methods were used to compare HSU for infants. After adjustment for confounders, no significant associations were observed between postpartum maternal depressive symptoms and PCP visits, ED use, or WIC use. Similarly, no significant associations were observed for maternal anxiety and PCP visits, ED use, or WIC use. CONCLUSION: In contrast to some previous studies, this study found no association between postpartum maternal depressive symptoms or anxiety and HSU for infants.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".