MétaCan
Menu
Retour à la cohorte
Enregistrement 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 sur OpenAlexaff
Bright Opoku Ahinkorah, Edward Kwabena Ameyaw, Abdul‐Aziz Seidu, Ebenezer Agbaglo, Eugene Budu, Felix Mensah, Collins Adu, Sanni Yaya

Notice bibliographique

RevuePLoS ONE · 2020
Typearticle
Langueen
DomaineHealth Professions
ThématiqueAdolescent Sexual and Reproductive Health
Établissements canadiensUniversity of OttawaGlobal Affairs Canada
Organismes subventionnairesnon disponible
Mots-clésDemographyReproductive healthMedicineCohabitationPopulationEnvironmental healthGeographySociology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,689

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,230
Tête enseignante GPT0,369
Écart entre enseignants0,140 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations27
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePLoS ONEMême sujetAdolescent Sexual and Reproductive HealthTravaux en français237 207