Background: Often, long-distance truck drivers' (LDTDs') work predisposes them to sexually transmitted infections (STIs) whose outcomes are influenced by access and behavior of seeking sexual health care. Methodology: In this study, we assessed the utilization of HIV/STI preventive services and associated factors among 296 LDTDs operating along the northern corridor highway using an interviewer-administered questionnaire for data collection at Mlolongo stopover in Machakos, Kenya. Responses for the investigated variables, including condom use, history of HIV testing, frequency of HIV testing, antiretroviral therapy (ART) use and follow-up for the HIV positive and STI treatment, were assigned a score of either 1 or 0 depending on the question's dimension. Following summing up for each participant, we computed a weighted score ranging between 0 and 1 by dividing the summed responses by the number of eligible variables. We arbitrarily multiplied these scores by 8 to generate endpoint scores ranging from one to eight for each participant to help create a dichotomized outcome variable for utilization levels: limited utilization (1 to 4) and good utilization (5 to 8). Association between certain independent variables and the outcome variable (level of utilization of H.I.V./STIs preventive services) was analyzed using binomial logistic regression analysis in R statistical software. Results: The mean age of the LDTDs was 38.4 years, ranging from 24 -57 years. The majority (n = 287, 97%) of the LDTDs had been tested on HIV at least once since the beginning of their career. Only 4.9% of the LDTDs had been tested on HIV within the previous three months. Of the 175 LDTDs who reported a history of STI, most (n = 173, 98.9%

Introduction harsh working conditions among long-distance truck drivers (LDTDs) expose them to risky sexual interactions while on transit. As a result, the risky sexual interactions among the LDTDs place them at a high risk of contracting human immunodeficiency virus (HIV) and sexually transmitted infections (STIs). This study sought to assess the sexual interactions and associated factors among the LDTDs in Kenya. Methods two hundred ninety-six (296) LDTDs were interviewed using interviewer-administered questionnaires. A systematic sampling technique was adopted. The number of sexual acts reported by the respondents was used to generate an ordered outcome variable (frequency of sexual interactions), in the order of; no sexual acts (zero), one to three sexual acts (1), and four to six sexual acts (2). Association between the predictor variables and the outcome variable was analysed using ordered logistic regression analysis in R statistical software. Results the mean age of the study participants was 38.4 years, with the youngest being 24 years and the oldest 57 years. Slightly above half of the participants (52.4%) reported no sexual interactions, while the rest (47.6%) had sexual interactions with either casual or regular sexual partners on the week preceding the survey. Age, the number of weeks spent on a transit journey, and drug use were independently associated with the frequency of sexual interactions among LDTDs involved in the study. Conclusion the frequencies of sexual interactions are likely to be higher among the younger LDTDs, those who spent more than one week on transit, and those who use alcohol and khat, hence a high exposure risk to HIV/STIs among them.

Introduction: harsh working conditions among long-distance truck drivers (LDTDs) expose them to risky sexual interactions while on transit. As a result, the risky sexual interactions among the LDTDs place them at a high risk of contracting human immunodeficiency virus (HIV) and sexually transmitted infections (STIs). This study sought to assess the sexual interactions and associated factors among the LDTDs in Kenya.Methods: two hundred ninety-six (296) LDTDs were interviewed using interviewer-administered questionnaires. A systematic sampling technique was adopted. The number of sexual acts reported by the respondents was used to generate an ordered outcome variable (frequency of sexual interactions), in the order of; no sexual acts (zero), one to three sexual acts (1), and four to six sexual acts (2). Association between the predictor variables and the outcome variable was analyzed using ordered logistic regression analysis in R statistical software.Results: the mean age of the study participants was 38.4 years, with the youngest being 24 years and the oldest 57 years. Slightly above half of the participants (52.4%) reported no sexual interactions, while the rest (47.6%) had sexual interactions with either casual or regular sexual partners on the week preceding the survey. Age, the number of weeks spent on a transit journey, and drug use were independently associated with the frequency of sexual interactions among LDTDs involved in the study.Conclusion: the frequencies of sexual interactions are likely to be higher among the younger LDTDs, those who spent more than one week on transit, and those who use alcohol and khat, hence a high exposure risk to HIV/STIs among them.

Background In Kenya, long-distance truck drivers (LDTDs) using the Northern Corridor highway have a high prevalence of HIV and other sexually transmitted infections (STIs) due to their risky sexual networks. However, the spatial distribution of the sexual network locations used by LDTDs is not well understood. Consequently, healthcare stakeholders have found it difficult to provide spatially targeted HIV/STI interventions among LDTDs. Thus, the study sought to establish the spatial distribution of sexual network locations used by LDTDs along the Northern Corridor highway, to inform efficient distribution and use of limited HIV/STI-prevention resources. Methods A cross-sectional study design was used. The study adopted a systematic sampling technique. 296 LDTDs were interviewed using interviewer-administered questionnaires at the Mlolongo weighbridge in Kenya. The LDTDs listed their history of sexual interactions and highway stopovers used during the week preceding data collection. Geospatial modelling techniques, using R statistical software packages for spatial mapping, were employed. Shapefiles were created and overlaid over a map of Kenya using R statistical software to create maps of sexual networks. Results Forty-two highway stopovers used by LDTDs were spatially distributed along the highway, from the Kenya coast to the Kenya–Uganda border. In general, LDTDs’ sexual network hotspots were restricted to the outskirts of major cities along the Northern Corridor highway (Nairobi, Mombasa and Nakuru) as well as the Kenya–Uganda international border. Conclusions On the Northern Corridor highway, stopovers situated proximal to major urban areas, as well as those at international border points, frequently serve as sexual network hotspots among LDTDs and their sexual partners. Thus, healthcare stakeholders should improve access to HIV/STI-prevention services targeted for LDTDs at the sexual network hotspots identified in this study.