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Record W3097640455 · doi:10.1371/journal.pone.0240556

Sexual violence and unmet need for contraception among married and cohabiting women in sub-Saharan Africa: Evidence from demographic and health surveys

2020· article· en· W3097640455 on OpenAlexaff
Bright Opoku Ahinkorah, Edward Kwabena Ameyaw, Abdul‐Aziz Seidu, Ebenezer Agbaglo, Eugene Budu, Felix Mensah, Collins Adu, Sanni Yaya

Bibliographic record

VenuePLoS ONE · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of OttawaGlobal Affairs Canada
Fundersnot available
KeywordsDemographyReproductive healthMedicineCohabitationPopulationEnvironmental healthGeographySociology

Abstract

fetched live from OpenAlex

INTRODUCTION: Contraception plays a significant role in fertility regulation and determines the reproductive health rights of women. Studies in other parts of the world have found that sexual violence has negative effects on unmet need for contraception. There has not been any study on the association between these two phenomena in sub-Saharan Africa using current nationally-representative survey data. We investigated the association between sexual violence and unmet need for contraception among married and cohabiting women in sub-Saharan Africa. MATERIALS AND METHODS: This study was based on secondary datasets from 26 sub-Saharan African countries' Demographic and Health Surveys conducted between 2010 and 2018. A sample of 101,968 women in sexual unions (married and cohabiting) with complete information on sexual violence and all the variables of interest were included in the analyses. Both bivariate and multilevel logistic regression analyses were carried out to examine the association between sexual violence and unmet need for contraception. Other individual and contextual level socio-economic and demographic variables were considered as covariates. Crude odds ratios [cOR] and adjusted odds ratios [aOR] with their corresponding 95% confidence intervals [CI], signifying precision, were presented. Level of statistical significance was declared at p<0.05. RESULTS: The overall prevalence of sexual violence and unmet need for contraception in the 26 sub-Saharan African countries were 8.7% and 28.7% respectively. Experience of sexual violence within the last 12 months resulted in 10% increase in unmet need for contraception [OR = 1.10, CI = 1.03-1.14] and 5% increase in unmet need for contraception after controlling for individual and contextual level factors [aOR = 1.05, CI = 1.01-1.11]. With the individual level factors, women with 4 or more births [aOR = 4.85, CI = 4.41-5.33], those cohabiting [aOR = 1.43, CI = 1.37-1.47], those in female headed households [aOR = 1.22, CI = 1.18-1.27] and those who watched television at least once a week [aOR = 1.12, CI = 1.07-1.16] had higher odds of unmet need for family planning. However, those aged 30-34 [aOR = 0.56, CI = 0.52-0.61], those with secondary/higher level of education [AOR = 0.80, CI = 0.77-0.84], those who read newspaper less than once a week [aOR = 0.75, CI = 0.71-0.79] and those who listened to radio at least once a week [aOR = 0.94, CI = 0.90-0.97] had lower odds of unmet need for contraception. In terms of the contextual factors, women in rural areas [aOR = 0.87, CI = 0.84-0.91] and those in the richest wealth quintile households [aOR = 0.80, CI = 0.75-0.85] had lower odds of unmet need for contraception. CONCLUSION: Our study has shown an association between sexual violence and unmet need for contraception in sub-Saharan Africa. Experiencing sexual violence increases the likelihood of unmet need for contraception in sub-Saharan Africa. It is also worthy to note that having four or more children, cohabiting with a male partner, and living in female-headed households are some of the key variables associated with unmet need for contraception in sub-Saharan Africa. Our study recommends that, successful contraceptive initiatives should focus on reducing sexual violence, while taking into consideration other significant factors that increase unmet need for contraception. Meanwhile, in doing this, contextual factors ought to be prioritised.

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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)0.003
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.230
GPT teacher head0.369
Teacher spread0.140 · 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

Citations27
Published2020
Admission routes1
Has abstractyes

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Same venuePLoS ONESame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207