Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021

Table 4 Multivariable analysis of factors associated with HIV among PWID

Sociodemographic characteristics	Adjusted prevalence ratio from double selection Lasso Poisson Regression Model adjusting for sampling weight from RDS(N = 1155) aPR [95% CI]	Adjusted Odds ratio from Firth Penalized maximum likelihood logistic regression model adjusting for sampling weight from RDS (N = 1155) aOR [95% CI]
Sex at birth
Male	1	1
Female	5.35 [2.92–9.79]***	6.30 [3.04–13.03]***
Education level
None/primary	1	1
JHS	0.92 [0.45–1.88]	0.91 [0.40–2.12]
SHS/Tech	0.40 [0.18–0.89]*	0.38 [0.15–0.97]*
Higher	1.15 [0.38–3.53]	1.22 [0.36–4.20]
Province
Northern	1	1
Eastern	0.57 [0.23–1.38]	0.55 [0.21–1.43]
Southern	0.16 [0.02–1.30]	0.22 [0.04–1.20]
Western	0.67 [0.34–1.32]	0.65 [0.30–1.44]
Can people get HIV from mosquito bites?
Inadequate knowledge	1	1
Adequate knowledge	0.59 [0.33–1.05]	0.56 [0.28–1.13]

Abbreviation: PWID: People who inject drugs, aPR: Adjusted Prevalence Ratio, aOR: Adjusted odds ratio; CI: Confidence interval. P-value notation: ***p < 0.001, **p < 0.01, *p < 0.05.

ISSN: 1742-6405