Maternal Education and Children Home Alone in 63 Low- and Middle-Income Countries
Bibliographic record
Abstract
Background. Maternal education may influence child supervision practices in low-and middle-income countries (LMIC). However, little is known about the maternal factors that can improve child supervision in LMIC with scarce childcare facilities. Objective. To investigate the prevalence of children under 5 years home alone and examine the association between mother’s formal education and children home alone across 63 LMIC. Methods. The study used data from 50 Multiple Indicator Cluster Surveys and 13 Demographic and Health Surveys with a sample of 501 769 children. We estimated Prevalence Ratios (PRs) for the association between maternal education and children home alone using multivariable Poisson regression, adjusting for covariates such as child’s age and sex, mother’s age and marital status, number of adults inhabiting the households, and urbanicity. Results. Prevalence of children home alone across 63 LMIC ranged from 1.1% to 50.1%. A significant negative association between mothers with more years of formal education and children home alone was found across 16 LMIC. However, the opposite trend was observed in Nigeria, Senegal, and Côte d’Ivoire. Null association was found across 44 LMIC. Conclusions. The varied pattern of the associations observed across LMIC underscores the importance of regional and local factors when developing policies and interventions to ensure safety and adequate care for children aged under 5 years in LMIC.
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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 | 0.001 | 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".