First 1,000 days: enough for mothers but not for children? Long‐term outcomes of an early intervention on maternal depressed mood and child cognitive development: follow‐up of a randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: Child cognitive development is often compromised in contexts of poverty and adversity, and these deficits tend to endure and affect the child across the life course. In the conditions of poverty and violence that characterise many low- and middle-income countries (LMIC), the capacity of parents to provide the kind of care that promotes good child development may be severely compromised, especially where caregivers suffer from depression. One avenue of early intervention focuses on the quality of the early mother-infant relationship. The aim of this study was to examine the long-term impact of an early intervention to improve the mother-infant relationship quality on child cognitive outcomes at 13 years of age. We also estimated the current costs to replicate the intervention. METHOD: We re-recruited 333 children from an early childhood maternal-infant attachment intervention, 'Thula Sana', when the children were 13 years old, to assess whether there were impacts of the intervention on child cognitive outcomes, and maternal mood. We used the Kaufman Assessment Battery to assess the child cognitive development and the Patient Health Questionnaire (PHQ-9) and the Self-Reporting Questionnaire (SRQ-20) to assess maternal mental health. RESULTS: Effect estimates indicated a pattern of null findings for the impact of the intervention on child cognitive development. However, the intervention had an effect on caregiver psychological distress (PHQ-9, ES = -0.17 [CI: -1.95, 0.05] and SRQ-20, ES = -0.30 [CI: -2.41, -0.19]), but not anxiety. The annual cost per mother-child pair to replicate the Thula Sana intervention in 2019 was estimated at ZAR13,365 ($780). CONCLUSION: In a socio-economically deprived peri-urban settlement in South Africa, a home visiting intervention, delivered by community workers to mothers in pregnancy and the first six postpartum months, had no overall effect on child cognitive development at 13 years of age. However, those caregivers who were part of the original intervention showed lasting improvements in depressed mood. Despite the fact that there was no intervention effect on long-term child outcomes, the improvements in maternal mood are important.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".