title: Epidemiology of HIV infection among long distance truck drivers in Kenya.
abstract: A total number of two hundred eighty three long distance truck drivers and their assistants (loaders) who ferry goods between Kenya and Zaire were included in a cross-sectional study between September 1991 and April 1992. Twenty six percent of the study subjects were seropositive for HIV-1 and none were HIV-2 seropositive. Countries of birth and residence were significantly associated with HIV infection (X2 = 23.6, P = 0.0006). Significant associations were also found between HIV seropositivity and level of education from secondary school and above (OR = 3.4, 95% C.I. = 1.01-11.55); being circumcised was more protective, (OR = 0.38; 95% C.I. = 0.19-0.76), history of many years of driving (X2 = 9.3, p = 0.0254) and income (OR = 11.13, 95% C.I. = 1.35-91.95). When a stepwise multiple logistic regression model was fitted to all the variables observed to be significant in the univariate analysis, the following risk factors attained statistical significance: lack of circumcision (OR = 3.75); income greater than Ksh. 2000 (OR = 7.24); being employed in long distance driving more than 11 years (OR = 3.98); and secondary school education and above (OR = 4.06, 95% C.I. = 1.18-13.98). Reference for all the above Odds Ratios was 1.
authors.affiliation: Kenya Medical Research Institute, Nairobi, Kenya.
authors.forename: G G
authors.initials: GG
authors.lastname: Mbugua
authors.forename: L N
authors.initials: LN
authors.lastname: Muthami
authors.forename: C W
authors.initials: CW
authors.lastname: Mutura
authors.forename: S A
authors.initials: SA
authors.lastname: Oogo
authors.forename: P G
authors.initials: PG
authors.lastname: Waiyaki
authors.forename: C P
authors.initials: CP
authors.lastname: Lindan
authors.forename: N
authors.initials: N
authors.lastname: Hearst
mesh_terms: D000328:Adult; D001334:Automobile Driving; D002944:Circumcision, Male; D003430:Cross-Sectional Studies; D004522:Educational Status; D015658:HIV Infections / Q000453:epidemiology*; D006801:Humans; D007182:Income; D007630:Kenya / Q000453:epidemiology; D008297:Male; D009790:Occupations; D012307:Risk Factors