Maternal resources for care are associated with child growth and early childhood development in Bangladesh and Vietnam
Bibliographic record
Abstract
BACKGROUND: Suboptimal child growth and development are significant problems in low- and middle-income countries. Maternal resources for care may help to improve growth and development. This study examined the association of maternal resources for care on child length, motor development and language development of children 12-23.9 months old. METHODS: We used baseline data from the Alive & Thrive household surveys collected in Bangladesh (n = 803) and Vietnam (n = 635). Resources for care were represented by maternal education, knowledge, height, well-nourishment, mental well-being, decision-making, employment, support in chores and perceived support. The regression analyses were adjusted for household wealth and other covariates on households, children and parents and accounted for geographical clustering. RESULTS: Maternal height (Bangladesh β = 0.150 p < 0.001, Vietnam β = 0.156 p < 0.001), well-nourishment (Vietnam β = 0.882 p = 0.007) and mental well-being (Bangladesh β = 0.0649 p = 0.008, Vietnam β = 0.0742 p = 0.039) were associated with child length. Well-nourishment (Vietnam β = 0.670 p = 0.042) and support in chores (Bangladesh β = 0.0983 p = 0.021) were associated with child motor development. Mental well-being (Vietnam β = 0.0735 p = 0.013), decision-making autonomy (Bangladesh β = 0.0886 p = 0.029) and perceived support (Vietnam β = 0.445 p = 0.003) were associated with child language development. CONCLUSION: Maternal height, well-nourishment, mental well-being, decision-making, support in chores and perceived social support were associated with child outcomes. Interventions that help to improve resources among mothers have potential to foster child growth and development.
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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 | 0.001 | 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) | 0.000 | 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".