A cross-sectional survey of 499 women working as informal cross-border traders at the COMESA Market in Lusaka measured sexual risk using a composite score that classified participants as either “low risk” or “high risk.” Overall, 67.7% of respondents were classified as high-risk for sexual behaviour. The study frames these findings within concerns about vulnerability to HIV and other sexual health harms among mobile, economically pressured women traders.
The authors conducted a cross-sectional study with 499 women informal cross-border traders at the COMESA Market. Descriptive statistics, chi-square tests, and multivariate binary logistic regression were used to examine associations between selected covariates and the binary outcome (low vs high sexual risk). The analysis was guided by migration and vulnerability theory to capture how pre-migratory, migratory and post-migratory factors may interact to influence sexual behaviour.
A composite risk score (details of the component items and thresholds were not reported in the source) was used to dichotomise respondents into low- and high-risk categories. The source reports adjusted odds ratios (aORs) with 95% confidence intervals for key associations identified in multivariate models.
Economic resources available before or at the start-up phase of trading were associated with sexual risk classification. Specifically, women who used personal savings to fund their start-up capital had significantly lower odds of being in the high-risk group compared with those who relied on nuclear family capital (aOR = 0.27, 95% CI: 0.10–0.73). The authors interpret this as evidence that financial independence prior to migration can be protective against risky sexual behaviour.
Duration of trading experience was also linked to lower risk: participants with 5–9 years of trading experience had reduced odds of high-risk classification (aOR = 0.21, 95% CI: 0.29–0.96). The source does not provide additional stratified analysis by age or other pre-migration socioeconomic indicators beyond these measures.
The study identified a strong association between a specific transit route and sexual risk. Using the Katima Mulilo border was associated with markedly increased odds of high-risk behaviour (aOR = 14.59, 95% CI: 1.26–169.50). The source reports the point estimate and wide confidence interval but does not provide further contextual data about why this border route carried higher risk (for example, transit duration, security, or known prevalence patterns) within the article text.
Post-migration living conditions and social experiences at destinations were associated with higher sexual risk. Two predictors identified in multivariate analysis were:
Not feeling disconnected while away from home (aOR = 3.39, 95% CI: 1.03–11.11). The source reports this association but does not elaborate on measures of social connectedness or the directionality of this effect beyond the statistical association.
Sharing accommodation with one roommate (aOR = 4.42, 95% CI: 1.10–17.84). The authors link shared accommodation to higher vulnerability but the source does not itemise housing conditions beyond the reported association.
Multivariate binary logistic regression was used to control for selected covariates and to estimate adjusted odds ratios. The key adjusted associations reported in the source were:
The source provides these effect estimates and confidence intervals; it does not list all covariates included in the final multivariate models in the abstract text.
The authors conclude that sexual risk among women informal cross-border traders is generated across the migration continuum. They emphasise three interrelated mechanisms suggested by the data: economic dependence (source of start-up capital), specific transit routes (border-associated risk), and destination living conditions (housing and social connectedness). These factors, taken together, are presented as producing vulnerability to risky sexual behaviour and by implication to HIV exposure in this mobile population.
Based on the observed associations, the authors recommend interventions that prioritise:
These recommendations are presented as pragmatic steps to reduce vulnerability among mobile women traders, in line with the study’s migration-continuum framing.
Ethical approval was obtained from the University of Zambia School of Humanities and Social Sciences Research Ethics Committee (HSSREC: 2018-June-005, No. 153760602331). The authors declared no competing interests. The source states that the study data are available on request from the authors (contact provided in the preprint).