Maternal depressive symptoms and language development: The moderating role of child temperament.
Bibliographic record
Abstract
The current study examined the interaction between maternal depressive symptoms and child temperament in predicting subsequent child language skills. Participants were 252 mother-child dyads recruited from the All Our Families longitudinal cohort, a primarily middle-class sample (62.9% completed postsecondary education) from Alberta, Canada (90.5% White, 6% Asian, 3.5% other). Maternal depressive symptoms at age 3, controlling for prenatal depressive symptoms, did not evidence a direct effect on child language skills at age 5 (49.6% males; mean [M] = 5.12 years old, standard deviation [SD] = .11). However, both child surgency and effortful control interacted with maternal depression at age 3 to predict later language skills. Low effortful control was a risk factor for poorer language abilities in contexts of high maternal depressive symptoms. High child surgency emerged as a differential susceptibility marker, predicting poorer language skills in contexts of high maternal depressive symptoms but better language skills in contexts of low depressive symptoms. Negative affect did not interact with maternal depressive symptoms in predicting language skills. These findings highlight the complex interaction between maternal and child characteristics in predicting language development during a developmental period in which language skills are a prime indicator of school readiness and a predictor of future academic achievement and socioemotional adjustment. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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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".