Factors affecting students’ attitudes towards reproductive health in the north of Iran: Designing an educational program

Abstract

BackgroundIt is essential to empower young people to promote reproductive health (RH) and develop effective educational programs to prevent risky behaviors. This study aimed to investigate the factors affecting students’ attitudes towards RH based on the ecological model and then design an educational program.MethodsThis cross-sectional study was conducted on 461 female students aged 18–29 in the north of Iran. This study was done in two stages. In the first stage, factors affecting the attitude towards RH including demographic questionnaire, interpersonal communication skills, family communication pattern, depression, stress and anxiety, body self-image, and self-confidence were determined. In the second stage, an educational program was designed based on the most effective factors. Independent t-test, ANOVA, and multiple linear regression were employed using SPSS version 20 software. Also, STATA version 15 software was utilized for statistical modeling to predict the best predictive model of attitude towards RH.Results47.7% of students had a good attitude toward RH. The majority of students had problems with interpersonal communication skills (60.7%). Also, 28.5% experienced depression, 35.8% anxiety, and 12.8% stress at different levels. More than a quarter of the students (26.5%) had poor body self-image and 18.7% had Undesirable self-esteem. Interpersonal skills (P = 0.002), family communication pattern (P = 0.004), stress (p = 0.019), anxiety (P = 0.001), and body self-image (P = 0.034) have a significant relationship with the attitude towards RH. The multiple regression showed that the most important effective factor on RH is the dialogue orientation of family communication pattern (P = 0.041), stress (P = 0.002), and anxiety (P = 0.001).ConclusionStress and anxiety management training and the use of dialogue orientation in the family communication pattern for young female students are recommended based on the scientific model.