Factors associated with low knowledge about sexually transmitted infections in subnormal agglomerate, in the Brazilian Amazon

Abstract

Abstract Background: Populations living in subnormal agglomerates in urban areas are more vulnerable to infections, including sexually transmitted infections (STIs). In these groups, inadequate knowledge about sexually transmitted infections can further increase the risk of contracting STIs. Aim: We investigated the factors associated with low knowledge about STIs in a peripheral population in the Brazilian Amazon. Methods: This cross-sectional study was conducted in Belém, in the Amazon region that has a high percentage of subnormal agglomerates in an urban area and a high incidence of STIs. Random sampling was adopted which resulted in a sample of 320 participants. To assess knowledge about STIs, the self-administered Sexually Transmitted Disease Knowledge Questionnaire was used. To assess aspects of vulnerability, a questionnaire was constructed which is linked to individual, social, and programmatic factors. The chi-square test, G test, and ordinal regression analyses were all performed. Findings: The sample of this study was composed of 320 participants. The mean age of the participants was 46.09 years. 37.5% (120), 50.6% (162), and 11.9% (38) showed low, medium, and high knowledge, respectively. Multiple analysis revealed that the factors associated with higher chance of having smaller knowledge about sexually transmitted infections were single/separated/divorced/widow(er) marital status (AOR: 1.80, CI: 1.15-2.84, P = 0.01); income equal to or less than one minimum wage (1.98, CI: 1.21-3.17, P = 0.00); equal to or over than 52 years old (AOR: 1.99, CI: 1.25-3.17, P = 0.00); lack of guidance by a health professional (AOR: 1.59, CI: 1.01-2.51, P = 0.04). Our results show that this community suffer from suboptimal levels of knowledge on STIs, which are linked to individual, social, and programmatic factors. Characterising the risk and vulnerabilities factors allows for carrying out appropriate interventions for populations living in subnormal agglomerates in urban area.