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Abstract

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=0.046; r=0.197), body weight (p=0.031; r=0.213), body mass index (BMI) (p=0.029; r=0.216), coffee consumption (p=0.001; r= -0.590), and tea consumption (p=0.028; r= -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= 2.001 - 0.145 (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.

Keywords: Anemia, Hemoglobin, Coffee consumption , Tea consumption, Prediction

References

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