title: Emerging sociodemographic and lifestyle predictors of intention to use condom in human immunodeficiency virus intervention among uniformed services personnel.
abstract: Appropriate and consistent use of condom remains an effective approach to human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) intervention. We analyzed the baseline data gathered for a situationally based HIV/AIDS intervention to assess the potential predictors of condom use among the Uniformed Services Personnel in Nigeria. Using condom purchase as a proxy for intention to use condom, we examined the distribution of the demographic and lifestyle characteristics, knowledge of HIV transmission mode, and knowledge of how to correctly use a condom. A univariable logistic regression was used to identify the potential predictors, followed by multivariable logistic regression modeling. The knowledge of how to correctly wear a condom was the most significant positive predictor of the intention to use a condom (adjusted prevalence odds ratio (APOR), 5.99 (95% confidence interval (CI), 1.26, 19.79). The other main positive predictors of intent to use a condom were the knowledge of the mode of HIV transmission via blood, APOR 2.43 (95% CI, 1.01, 5.82), saliva (5. 87, 95% CI, 3.15, 10.94), and pre-ejaculatory fluid (APOR, 3.58, 95% CI, 1.67, 7.48). Male gender was also a significant positive predictor of the intent to use a condom (APOR, 2.55, (95% CI, 1.10, 5.97)). The results further indicated alcohol use (APOR, 0.32, 95%CI, 0.16, 0.61), marijuana use (APOR, 0.24, 95% CI, 0.11, 0.56), and the frequency of oral sexual behavior (APOR, 0.006, 95%CI, 0.002, 0.019) as negative predictors of the intent to use a condom. Therefore, these findings suggest that for an HIV/AIDS intervention to be effective in this population, it must incorporate these predictor variables into its design and conduct.
authors.affiliation: HIV Prevention Research Group, College of Pharmacy, University of Houston, 1441 Moursund Street, Houston, TX 77030, USA.
authors.forename: Ekere James
authors.initials: EJ
authors.lastname: Essien
authors.forename: Gbadebo O
authors.initials: GO
authors.lastname: Ogungbade
authors.forename: Harrison N
authors.initials: HN
authors.lastname: Kamiru
authors.forename: Ernest
authors.initials: E
authors.lastname: Ekong
authors.forename: Doriel
authors.initials: D
authors.lastname: Ward
authors.forename: Laurens
authors.initials: L
authors.lastname: Holmes
mesh_terms: D000293:Adolescent; D000328:Adult; D017280:Condoms / Q000706:statistics & numerical data* / Q000600:supply & distribution; D003268:Contraception Behavior; D003710:Demography; D005260:Female; D015658:HIV Infections / Q000517:prevention & control* / Q000635:transmission; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D033182:Intention; D008019:Life Style; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008889:Military Personnel / Q000523:psychology*; D009549:Nigeria; D010865:Pilot Projects; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D012959:Socioeconomic Factors