Factors associated with children's cognitive, language, and motor development in deprived urban settings in Bangladesh
Bibliographic record
Abstract
BACKGROUND: Children's development is multifactorial. Although there have been several studies exploring the association of children's development with maternal, child, and environmental factors, we are unaware of any study that assessed those factors in children whose mothers were enrolled in a social safety net programme in low- and middle-income countries. This study aimed to identify the factors associated with disadvantaged children's cognitive, language, and motor development at age 6-16 months in deprived settings of urban Bangladesh and to identify relative importance of these factors of children's development. We also explored if there were any gender differences in child development. METHODS: This cross-sectional study was conducted in a deprived setting of urban Bangladesh. Bayley III was used for assessing children's cognitive, language, and motor development. Multivariable linear regression model was used to find the factors associated with children's development, and dominance analysis was used to explore the relative importance of the factors. RESULTS: Out of the total 599 mother-child dyads, 303 (50.58%) were girls. The factors associated with children's development were length-for-age Z-score (cognitive: B = 1.21 [95% CI = 0.31, 2.11], P = 0.008; language: 1.67 [0.79, 2.55] P < 0.001; motor: 2.15 [1.01, 3.29] P < 0.001) and home environment (cognitive: 0.58 [0.27, 0.89] P < 0.001; language: 0.59 [0.27, 0.92], P < 0.001; motor: 0.44 [0.09, 0.79] P = 0.013). Girls had higher cognitive (1.90 [0.17, 3.6], P = 0.031) and language (2.53 [0.55, 4.51], P = 0.013) development compared with boys. Families with a higher number of under five children within the households had lower language (-1.57 [-2.78, -0.36], P = 0.011) development. Violence against the mother and the families' food security status were not associated with the children's development. Children's length-for-age Z-score (27%) and home stimulation environment (23%) were the most important factors of cognitive development. CONCLUSION: Children's nutritional status and home environment are important factors for disadvantaged children's development in deprived urban settings of Bangladesh. Both early child development-focussed parenting and nutrition interventions should be considered when designing child development programmes in urban settings in low- and middle-income countries.
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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) | 0.000 | 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".