Women's empowerment, children's nutritional status, and the mediating role of household headship structure: Evidence from sub‐Saharan Africa
Bibliographic record
Abstract
We aimed to examine the association between women's empowerment and childhood nutritional status while accounting for the mediating role of household headship structure. Cross-country, cross-sectional quantitative data from the most recent Demographic and Health Surveys (2015-2018) were used. Women's empowerment was measured as a composite index of participation in household decision-making, attitude towards domestic violence, and asset ownership. Childhood nutrition status was measure as anaemia (haemoglobin concentration < 110g/L), stunting (height-for-age z-scorescore <-2) and the co-occurrence of anaemia and stunting. Applying the Lewbel two-stage least squares, women's migration status was used as an instrumental variable. We used data on 25,665 woman-child dyads from eight sub-Saharan African countries: Burundi (2016), Ethiopia (2016), Guinea (2018), Malawi (2016), Mali (2018), Zimbabwe (2015), Uganda (2016), and Tanzania (2015). The women were in their reproductive ages (15-49 years) and children were under 5 years old. The findings showed that an increase in women's empowerment index reduces children's likelihood of being anaemic and having a co-occurrence of anaemia and stunting [coeff (SE), -0.114 (0.025) and -0.072 (0.032), respectively]. Specifically, an increase in asset ownership or decision-making dimensions of empowerment significantly reduces the likelihood of anaemia and the co-occurrence of anaemia and stunting among children. Children of empowered women from male-headed households were more likely to be anaemic and be concurrently anaemic and stunted compared to their counterparts whose mothers were from female-headed households. Interventions designed to improve childhood nutrition through women's empowerment approaches need to consider asset ownership and instrumental agency of women while acknowledging the mediating effect of household headship typology.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".