Toward Ending Violence Against Women: The Association of Intimate Partner Violence With Food Security Status Among Ever-Married Women in Cameroon
Bibliographic record
Abstract
Despite an extensive body of literature that explores potential mechanisms explaining the factors associated with intimate partner violence (IPV) experienced by women, very few studies have studied the association of food security status with women’s experience of IPV in sub-Saharan Africa countries, including Cameroon. Using data from the 2018 Cameroon Demographic and Health Survey ( n = 4,690), we explore the association between food security status and three distinct forms of IPV (i.e., emotional, sexual, and physical IPV) among ever-married women in Cameroon. Adjusting for socioeconomic, demographic, and attitudinal and behavioral characteristics, we found that women with severe (odds ratio [ OR ] = 2.09, p < .01), moderate ( OR = 1.88, p < .05), and mild ( OR = 1.76, p < .05) food insecurity were more likely to experience sexual IPV, compared to those without any food insecurity, whereas women with severe food insecurity were more likely to experience physical IPV ( OR = 1.89, p < .001). Although women with severe ( OR = 1.51, p < .01) and moderate ( OR = 1.67, p < .001) food insecurity had a higher likelihood of experiencing emotional IPV at a bivariate level, we found that these associations became no longer significant in our adjusted model. These findings suggest that food insecurity is a critical risk factor for IPV among ever-married women in Cameroon. Addressing IPV requires a comprehensive strategy that places special emphasis on households experiencing food insecurity. There is also an urgent need to implement educational programs to increase awareness of the interconnection between food insecurity and IPV and to allocate resources to community-based initiatives that empower women both economically and socially.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".