Condom use among immigrant Latino sexual minorities: multilevel analysis after respondent-driven sampling

AIDS Educ Prev. 2015 Feb;27(1):27-43. doi: 10.1521/aeap.2015.27.1.27.

Abstract

This study explored correlates of condom use within a respondent-driven sample of 190 Spanish-speaking immigrant Latino sexual minorities, including gay and bisexual men, other men who have sex with men (MSM), and transgender person, in North Carolina. Five analytic approaches for modeling data collected using respondent-driven sampling (RDS) were compared. Across most approaches, knowledge of HIV and sexually transmitted infections (STIs) and increased condom use self-efficacy predicted consistent condom use and increased homophobia predicted decreased consistent condom use. The same correlates were not significant in all analyses but were consistent in most. Clustering due to recruitment chains was low, while clustering due to recruiter was substantial. This highlights the importance accounting for clustering when analyzing RDS data.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Bisexuality / psychology
  • Bisexuality / statistics & numerical data*
  • Condoms / statistics & numerical data*
  • Cross-Sectional Studies
  • Emigrants and Immigrants / psychology
  • Emigrants and Immigrants / statistics & numerical data*
  • HIV Infections / ethnology
  • HIV Infections / prevention & control
  • Health Knowledge, Attitudes, Practice
  • Hispanic or Latino / psychology
  • Hispanic or Latino / statistics & numerical data*
  • Homosexuality, Male / psychology
  • Homosexuality, Male / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Multilevel Analysis
  • North Carolina / epidemiology
  • Regression Analysis
  • Risk-Taking
  • Self Efficacy
  • Sexually Transmitted Diseases / ethnology
  • Sexually Transmitted Diseases / prevention & control
  • Socioeconomic Factors
  • Transgender Persons / psychology
  • Transgender Persons / statistics & numerical data*
  • Young Adult