Cross-sectional analysis evaluates the AFRINA model to enhance anemia prevention in brides-to-be, suggesting effective public health interventions.
This study aimed to develop and evaluate the AFRINA Model (Anemia Free Integrative Network Approach) as a preventive strategy to reduce pregnancy and childbirth complications through increased awareness and education on anemia prevention among prospective brides. A cross-sectional design was used to identify determinants influencing anemia prevention in Bengkulu City. Variables included knowledge, attitudes, perceptions, beliefs, motivation, information exposure, facility access, family support, and health worker attitudes, along with sociodemographic factors such as age, education, occupation, income, and family history. Most participants (90.5%) were aged 21-30 years, with higher education (97.3%) and employment (85.1%). Factors significantly associated with anemia prevention (p < 0.05) were income, information exposure, attitude, perception, family support, facility availability, belief, health worker attitude, and motivation. Multivariate analysis identified motivation (OR 29.837), information exposure (OR 5.358), and family support (OR 5.045) as the strongest predictors. The AFRINA Model showed predictive accuracy between 79.9% and 93.4%, with an 86.6% accuracy rate in identifying at-risk individuals. Motivation, information exposure, and family support are key determinants of anemia prevention among prospective brides. The AFRINA Model demonstrates strong predictive validity and provides an effective framework for public health interventions addressing anemia prevention before marriage.
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Mizawati et al. (2026) studied this question.
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