Emerging sociodemographic and lifestyle predictors of intention to use condom in human immunodeficiency virus intervention among uniformed services personnel.
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.
Essien
Ekere James
EJ
HIV Prevention Research Group, College of Pharmacy, University of Houston, 1441 Moursund Street, Houston, TX 77030, USA.
Ogungbade
Gbadebo O
GO
Kamiru
Harrison N
HN
Ekong
Ernest
E
Ward
Doriel
D
Holmes
Laurens
L
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