A socio-ecological analysis of intimate partner violence among women of reproductive age in Nigeria: a multilevel analysis of data from 2008 to 2018 Nigeria demographic and health surveys
Bibliographic record
Abstract
INTRODUCTION: Intimate partner violence (IPV) is a significant public health and human rights issue in Africa. Despite numerous initiatives and legislative measures, IPV continues to be deeply rooted in sociocultural norms, affecting both social and economic progress in Nigeria. Hence, this study utilizes the socio-ecological model to analyze trends and factors associated with IPV among women of reproductive age in Nigeria from 2008 to 2018. METHODS: The study was an analytical cross-sectional study that utilized secondary datasets from the 2008, 2013, and 2018 Nigeria Demographic and Health Surveys. A weighted sample of 47,015 women of reproductive age was included in this study. The analysis was conducted using Stata. Multilevel regression analysis was applied, and the results were presented as adjusted odds ratios (aOR), along with 95% confidence intervals (CIs) and p-values to indicate the statistical significance of the findings. RESULTS: The overall prevalence of IPV in Nigeria from 2008 to 2018 was 25.94% [95% CI: 25.11%-26.80%]. The average prevalence of emotional violence was 21.82% [95% CI: 21.03%-22.63%], whereas that of physical violence was 11.35% [95% CI: 10.86-11.85%], and sexual violence was 3.53% [95% CI: 3.29%-3.80%]. Significant risk factors associated with IPV included primary education [aOR = 1.17; 95% CI = 1.08-1.26], cohabiting [1.40; 95% CI = 1.23-1.59]; working [aOR = 1.30; 95% CI = 1.23-1.59], having four or more births [aOR = 2.08; 95% CI = 1.87-2.32], exposed to mass media [aOR = 1.17; 95% CI = 1.10-1.23], belonged to Hausa ethnic group [aOR = 1.65; 95% CI = 1.43-1.89], women whose partners had primary education [aOR = 1.21; 95% CI = 1.12-1.31], those in a polygamous family type [aOR = 1.31; 95% CI = 1.24-1.39], those who lived in North East [aOR = 1.37; 95% CI = 1.25-1.50], those who lived communities with high literacy level [aOR = 1.17; 95% CI = 1.04-1.32] and those who were in 2018 survey year [aOR = 1.47; 95% CI = 1.37-1.57]. CONCLUSION: The research indicates that intimate partner violence continues to be a significant public health concern in Nigeria, with approximately 25.94% of women of reproductive age experiencing IPV from 2008 to 2018, reaching a peak of 33.24% in 2018, which signals a troubling upward trend. The most common type of violence reported was emotional abuse, impacting nearly 22% of women. Major risk factors identified include lower educational attainment for both women and their partners, cohabitation, employment status, higher numbers of children, access to mass media, identification as Hausa, involvement in polygamous family arrangements, residing in the Northeast region, and living in areas with higher literacy rates. These findings highlight the multi-faceted factors contributing to IPV. To effectively address this issue, it is necessary to implement targeted, multi-faceted strategies that focus on educational inequities, economic conditions, cultural practices, and regional disparities, with a strong focus on prevention to halt the rising trend of violence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".