ArticleBMC public health2024
Sexual violence affecting female sex workers in Côte d'Ivoire: prevalence, context, and associated mental health and substance use outcomes.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundFemale sex workers are disproportionately affected by sexual violence, which is associated with an increased risk of poor mental health outcomes, substance use, and decreased access to health resources. Understanding the pathways through which sexual violence impacts these outcomes can inform strategies that appropriately and effectively meet the health needs of sex workers.
methodsThis study investigated the prevalence of sexual violence among female sex workers in Côte d'Ivoire, and the relationship between sexual violence and adverse mental health and substance use outcomes. We examined survey data from female sex workers recruited between November 2019 and May 2020 across five regions of Côte d'Ivoire using respondent driven sampling (RDS), as part of an integrated bio-behavioral survey. The primary exposure of interest was self-reported lifetime experience of sexual violence, and the main outcomes of interest included depression, suicidal ideation, counselling seeking, alcohol consumption, and substance use. Multivariable logistic regression models investigated associations between exposure to sexual violence and the key mental health and substance use outcomes of interest. For each outcome, a directed acyclic graph was developed to identify a minimally sufficient set of covariates for adjustment. Additional sociodemographic characteristics, experiences, and sex work-related behaviors were explored in descriptive analyses using crude and RDS adjusted estimates.
resultsOut of 1,177 participants, 376 (31.9%; RDS weighted: 30.5%; 95% CI: 24.7, 36.3) reported having experienced sexual violence in their lifetime, and of those 31.9% (RDS weighted: 31.2%; 95% CI: 21.3, 41.1) had experienced sexual violence within the previous 12 months. Experience of sexual violence was associated with an increased odds of suicidal ideation (aOR: 1.95; 95% CI: 1.48, 2.55), illicit drug use in the last 12 months (aOR: 2.40; 95% CI: 1.50, 3.86), daily alcohol use (aOR: 1.63; 95% CI: 0.99, 2.67), and having spoken to a counselor or confidant (aOR: 1.90; 95% CI: 1.34, 2.68).
conclusionFindings confirm a high burden of sexual violence among female sex workers in Côte d'Ivoire, and a need to implement large structural changes that enable female sex workers to seek protection as well as health resources after experiencing sexual violence. This may include reform in the form of targeted social, clinical and mental health resources, along with community development opportunities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.