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Record W4388679244 · doi:10.1016/s2214-109x(23)00417-5

Prevalence and changes of intimate partner violence against women aged 15 to 49 years in 53 low-income and middle-income countries from 2000 to 2021: a secondary analysis of population-based surveys

2023· article· en· W4388679244 on OpenAlexaff
Ning Ma, Shaoru Chen, Yuhao Kong, Zekun Chen, Pascal Geldsetzer, Huatang Zeng, Liqun Wu, Fernando C. Wehrmeister, Chunling Lu, S. V. Subramanian, Yi Song, Zhihui Li

Bibliographic record

VenueThe Lancet Global Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Manitoba
FundersYale School of Public Health, Yale UniversityNational Institute for Medical ResearchSanming Project of Medicine in ShenzhenTsinghua UniversityNational Natural Science Foundation of China
KeywordsDomestic violenceEmpowermentPoisson regressionPopulationDemographySexual violenceMedicinePoison controlEnvironmental healthInjury preventionPsychologyPolitical scienceSociologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: In low-income and middle-income countries (LMICs), intimate partner violence poses a substantial barrier to accomplishing target 5.2 of the Sustainable Development Goals: to eliminate all forms of violence against women and girls. Our study aimed to assess the prevalence and changes of intimate partner violence against women in LMICs. We also explored the association between women's empowerment and intimate partner violence. METHODS: In this secondary analysis of population-based surveys, we obtained data from the nationally representative Demographic and Health Surveys conducted in LMICs between 2000 and 2021. We selected countries with available data on the domestic violence module, and women aged 15 to 49 years who currently or formerly had a husband or partner, and who had provided information about intimate partner violence, were included in the analysis. We first estimated the weighted prevalence of intimate partner violence in LMICs with available data, and then we assessed the average annual rate of change using Poisson regression with robust error variance in a subset of countries with at least two surveys. We used multilevel analysis to investigate the association between intimate partner violence and women's empowerment measured at both the country and individual levels. Country-level empowerment was measured by gender inequality index, while individual-level empowerment considered social independence, decision making, and attitude to violence. FINDINGS: A total of 359 479 women aged 15 to 49 years were included from 53 LMICs. 336 811 women from 21 countries with two surveys provided data for assessing the trends of intimate partner violence. The weighted prevalence of any type of intimate partner violence was 37·2% (95% CI 36·6 to 37·8). A significant overall decline in the prevalence of any type of intimate partner violence was observed with an average annual rate of change of -0·2% (95% CI -0·4 to -0·03); however six countries showed significant increasing trends, with average annual rates of change ranging from 1·2% (95% CI 0·7 to 1·7) in Nigeria to 6·6% (5·3 to 7·8) in Sierra Leone. Notably, the prevalence of psychological intimate partner violence has risen (average annual rate of change, 2·3% [95% CI 2·1 to 2·6]), reflected in increased rates across eight countries. Higher levels of country-level women's empowerment were associated with a lower risk of intimate partner violence: women from countries with the highest tertile of gender inequality index had an increased odds of any type of intimate partner violence (odds ratio 1·58 [95% CI 1·12 to 2·23]). Similarly, better individual-level women's empowerment also showed significant associations with a lower risk of intimate partner violence. INTERPRETATION: The prevalence of intimate partner violence remains high, and some countries have shown an increasing trend. The strong relationship between both country-level and individual-level women's empowerment and the prevalence of intimate partner violence suggests that accelerating women's empowerment could be one strategy to further reduce intimate partner violence against women. FUNDING: National Natural Science Foundation; Vanke School of Public Health, Tsinghua University; and Sanming Project of Medicine in Shenzhen.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.347
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations74
Published2023
Admission routes1
Has abstractyes

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