Multivariable logistic regression–associations with HIV status.

Multivariable logistic regression–associations with HIV status.</p

Participant characteristics overall and by age.

High HIV prevalence among female sex workers (FSWs) is heavily influenced by structural determinants (e.g. criminalisation of sex work; violence) and significant life events (e.g. orphanhood, teenage pregnancy). This study aims to understand the epidemiology of HIV among FSWs in Nairobi, Kenya using a structural determinants and life-course perspective. Baseline cross-sectional survey data were collected June–December 2019 for the Maisha Fiti study with 1003 FSWs (aged 18–45 years). Odds ratios and 95% confidence intervals were estimated using multivariable logistic regression with a hierarchical modelling approach. HIV prevalence was 28.0%, and increased with age (</div

Definition of exposure variables used in the Maisha Fiti study with FSWs in Nairobi, Kenya.

Definition of exposure variables used in the Maisha Fiti study with FSWs in Nairobi, Kenya.</p

Hierarchical conceptual framework to examine the potential effect and relationships between age and HIV infection among HIV negative FSWs in Nairobi, Kenya.

Hierarchical conceptual framework to examine the potential effect and relationships between age and HIV infection among HIV negative FSWs in Nairobi, Kenya.</p

HIV risk factors among HIV negative female sex workers in Nairobi, Kenya.

HIV risk factors among HIV negative female sex workers in Nairobi, Kenya.</p

Conceptual hierarchical framework of risk factors across the life course for current HIV status among FSWs in Nairobi, Kenya.

Conceptual hierarchical framework of risk factors across the life course for current HIV status among FSWs in Nairobi, Kenya.</p