Intervention program for university students: Accession Predictors Programa de intervención

  • Aliete Cunha CEIS 20 da UC, Portugal College of Nursing of Coimbra, Portugal Faculty of Medicine, Coimbra, Portugal University of Coimbra, Portugal ACeS Baixo Mondego - UCC Celas, Portugal
  • José Cunha Centro Hospitalar e Universitário de Coimbra, EPE, Portugal
  • Ilda Cardoso University of Coimbra, Portugal Instituto Superior Miguel Torga, Portugal Centre for Health Studies and Research, Coimbra, Portugal
  • Fernanda Daniel University of Coimbra, Portugal Instituto Superior Miguel Torga, Portugal Centre for Health Studies and Research, Coimbra, Portugal
  • Salvador Cardoso Faculty of Medicine, Coimbra, Portugal University of Coimbra, Portugal
  • João Pita CEIS 20 da UC, Portugal University of Coimbra, Portugal Faculty of Pharmacy, Coimbra, Portugal
Keywords: Predictors, Programmes, HIV, Students, Odds Ratio

Abstract

Introduction: Literature largely suggests that longitudinal studies where participation is not mandatory and participants have no immediate benefits are usually subject to compliance failures.

Methods: We looked at the predictors of adherence to an intervention program in reducing the risk of HIV infection. Inclusion criteria included being a 1st-year-student of the University of Coimbra and 18 to 24 years old. A questionnaire with indicators of UNAIDS was employed.

The quantitative study included two stages: in the first one 551 youths agreed to complete the questionnaire and participate; in the second stage the survey respondents and those who joined the programme were signaled. Respondents were 18 years old(SD = 1.09) , 76.2 % female, 63% were Health Sciences students and 69.2 % sexually active.

Results: The model features ten independent variables (age, sex, perception of risk, scientific area, time of first sexual intercourse, number of sexual partners over the lifetime and in the last twelve months, knowledge of transmission and prevention). Four independent variables had a statistically significant contribution (perception of risk, scientific area, early sex life and number of sexual partners in the last twelve months). The best adherence predictor was the age of sexual initiation, with odds of 3.63 (OR = 3.63; 95% CI 1.27 - 8.91), indicating that students who began their sexual life are three times more likely to join a program. The odds ratios of 1.98 (OR = 1.98; 95% CI 1.27 - 2.87) and 1,784 (OR = 1.78; 95% CI 1:04 to 3:07) indicate that students health and greater risk perception are about twice as likely to join. The variable “sexual partners in the last 12 months” is also a predictor of adherence and tells us that the abstinent have 0.três times more likely to join (OR = 0:32; 95% CI 0:12 - 0.81).

Conclusions: It seems to indicate that the information campaigns, awareness and prevention do not offer an effective model of awareness of the problem and risk perception to students that do not follow courses in health.

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Section
Life and Healthcare Sciences