Individual‐, household‐, and community‐level factors associated with pregnant married women's discriminatory attitude towards people living with<scp>HIV</scp>in<scp>sub‐Saharan</scp>Africa: A multicountry cross‐sectional study
Notice bibliographique
Résumé
BACKGROUND AND AIMS: Discriminatory attitude towards people living with human immunodeficiency virus (HIV) remains a major problem in the prevention and treatment of HIV in sub-Sahara Africa (SSA). Understanding the multiple factors linked to discriminatory attitude towards people living with HIV/AIDS (PLWHA) in SSA is necessary for developing appropriate interventions. This study aimed at investigating the individual, household, and community-level factors associated with pregnant married women's discriminatory attitude towards people living with HIV/AIDS. METHODS: We used data from the Demographic and Health Surveys of 12 sub-Saharan African countries conducted between 2015 and 2019. Data on 17 065 pregnant married women were analyzed. Bivariate (chi-squared test) and multivariable multilevel logistic regression analyses were applied to investigate the factors associated with discriminatory attitude towards PLWHA. The results were reported as adjusted odds ratio (aOR) at 95% confidence interval (CI). RESULTS: The mean age of participants was 31.2 ± 8.5. The prevalence of discriminatory attitude towards PLWHA was 36.2% (95% CI: 33.4%-39.1%). Individual/household-level factors associated with discriminatory attitude towards PLWHA were women's educational level (secondary school-aOR = 0.49, 95% CI: 0.26-0.93), husband's educational level (higher education-aOR = 0.35, 95% CI: 0.16-0.76), decision-making power (yes-aOR = 0.51, 95% CI: 0.38-0.69), wife-beating attitude (disagreement with wife beating-aOR = 0.58, 95% CI: 0.43-0.79), and religion (Muslim-aOR = 1.92, 95% CI: 1.22-3.04). Community socioeconomic status (medium-aOR = 0.61, 95% CI: 0.41-0.93) was the only community-level factor associated with discriminatory attitude towards PLWHA. CONCLUSION: More than one-third of pregnant married women in SSA had discriminatory attitude towards PLWHA. Women's educational level, husband's educational level, decision-making power, wife-beating attitude, religion, and community socio-economic status were associated with discriminatory attitude towards PLWHA. To lessen the prevalence of discriminatory attitude towards PLWHA, considering these significant factors is needed. Therefore, governments and other stakeholders in the respective countries need to increase education coverage. Moreover, empowering women through education and economy is crucial. Finally, working with religious leaders to increase awareness about HIV and discriminatory attitude towards PLWHA should also be a priority in SSA.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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