Maternal Depressive Symptoms and Risk for Childhood Depression: Role of Executive Functions
Bibliographic record
Abstract
OBJECTIVE: Offspring of mothers with depression are at increased risk for executive function (EF) deficits and later depressive symptoms, but limited studies have examined EF as an intermediary pathway. This study examined the role of EF in mediating the association between maternal and child depressive symptoms. METHOD: Data were from a longitudinal birth cohort comprising 739 participants followed from the antenatal period for 12 years. Mothers completed the Edinburgh Perinatal Depression Scale at 26 to 28 weeks' gestation and at 3 and 24 months postpartum. At ages 8.5 to 10 years, children self-reported using the Children's Depression Inventory, Second Edition. Task-based and parent-reported EF measures were collected at 4 time points between 3.5 and 8.5 years. Latent growth curve models examined antenatal depressive symptoms and their trajectory in contributing to cold (ie, cognitive) and hot (ie, affective) EFs. The extent to which EF mediated this association was then assessed. RESULTS: Maternal depressive symptoms did not directly predict depressive symptoms in late childhood. Antenatal depressive symptoms predicted lower cold EF (β = -.13, 95% CI [-0.25, -0.004]) and hot EF (β = -.26, 95% CI [-0.38, -0.15]). Deficits in cold EF (β = -.26, 95% CI [-0.41, -0.11]) acted as an intermediary path to depressive symptoms, whereas hot EF mediated the association between maternal and child depressive symptoms, forming an indirect path that accounted for 37.5% of the association. CONCLUSION: Deficits in hot EF may be a pathway in explaining the intergenerational transmission of depression. This finding suggests fostering EF skills as a potential strategy for at-risk children. CLINICAL TRIAL REGISTRATION INFORMATION: Growing Up in Singapore Towards Healthy Outcomes (GUSTO); https://clinicaltrials.gov/study/NCT01174875?cond=NCT01174875 PLAIN LANGUAGE SUMMARY: This study using data from the Growing Up in Singapore Towards Healthy Outcomes cohort (n=739) examines the role of cognitive and affective executive functions (EF) in mediating the association between maternal and child depressive symptoms. Results show that "hot" EF (regulating emotions and motivation) accounted for 37.5% of the association between maternal prenatal depression and childhood depressive symptoms. Findings suggest that fostering hot EF skills may be a preventative strategy for children from families at risk of intergenerational transmission of depression. DIVERSITY & INCLUSION STATEMENT: We worked to ensure that the study questionnaires were prepared in an inclusive way. We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. One or more of the authors of this paper self-identifies as living with a disability.
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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 | 0.000 |
| 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 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".