Dien G.A. Nursal, Muhammad D.A. Winata, Nohan A. Romadlona, Noura Rizki, Sabillah Nasitoh, Muhammad S. Baretta
Background: Anemia is a condition in which the number of red blood cells or hemoglobin (Hb) levels fall below normal, limiting the ability of blood to transport oxygen effectively. This study aimed to develop a predictive model for Hb levels by identifying significant risk factors. Method: This observational analytic study was conducted among 103 randomly selected students of Bung Hatta University in Padang, Indonesia. Data were collected with a questionnaire and a hemoglobin test between April to May 2024. Pearson's correlation analysis and multiple linear regression were performed in this study. Results: Bivariate analysis showed significant correlations between Hb levels and factors such as age (p ¼ 0.046; r ¼ 0.197), body weight (p ¼ 0.031; r ¼ 0.213), body mass index (BMI) (p ¼ 0.029; r ¼ 0.216), coffee consumption (p ¼ 0.001; r ¼ ¡0.590), and tea consumption (p ¼ 0.028; r ¼ ¡0.216). However, the final multivariate prediction model showed that Hb levels were most influenced by coffee and tea consumption, resulting in the following equation: Hb levels ¼ 2.001e0.145 (Coffee Consumption) ¡0.054 (Tea Consumption). Conclusion: Coffee consumption was identified as the most dominant factor influencing Hb levels. Therefore, guidelines for safe coffee consumption among adolescents were recommended to help prevent anemia. © 2025 College of Public Health Sciences, Chulalongkorn University. All rights reserved.
Department of Epidemiology, Faculty of Public Health, Andalas University, West Sumatera, Padang, 25163, Indonesia; Reproductive Health Field, Faculty of Public Health, Andalas University, West Sumatera, Padang, 25163, Indonesia; Department of Public Health, State University of Malang, East Java, Malang, 65145, Indonesia; Department of Medicine, Faculty of Medicine, Baiturrahmah University, West Sumatera, Padang, Indonesia; Department of Medicine, Faculty of Medicine, Andalas University, West Sumatera, Padang, Indonesia
