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The Impact of Anaemia Prevention Apps on Sleep Quality and Learning Concentration Among Female Junior High School Students

Year: 2025
Type: article
Study design: Clinical Trial
Abstract: Background: Anaemia, is a global health challenge, that significantly affects adolescent girls, impairing sleep quality and learning concentration. Despite advancements in mobile health (mHealth) applications for anaemia prevention, their impact on these critical outcomes remains underexplored. Objective: The aim of the study is to investigate the impact of anaemia prevention mobile application on sleep quality and learning concentration among female junior high school students. Methods: A quasi-experimental study using a pre- and post-test control group design was implemented. Two hundred female students aged 12 to 15 years were recruited using convenience sampling and evenly allocated into intervention and control groups. The intervention group utilised a mobile application that provided anaemia education and reminders for 12 weeks, whereas the control group received conventional health education materials such as brochures. Sleep quality and learning concentration were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Learning Concentration Scale (LCS), respectively. Data were analysed using paired t-tests, independent t-tests, and ANCOVA was employed to evaluate pre- and post-intervention differences while controlling for confounding variables. Results: The intervention group showed significant improvements in sleep quality (mean PSQI: 7.4 to 5.2, p < 0.001) and learning concentration (mean LCS: 45.3 to 50.1, p < 0.001) compared to the control group, which exhibited minimal changes. Multivariate analysis confirmed the app’s impact, explaining 35% of the variance in sleep quality (adjusted R² = 0.35) and 40% in learning concentration (adjusted R² = 0.40). Conclusion: The anaemia prevention mobile application effectively enhances sleep quality and learning concentration among female adolescents. Further research should explore long-term and scalable applications of this technology.
DOI: 10.31674/mjn.2025.v16isupp2.014
Language: English
Open Access status: diamond
OpenAlex ID: W4413062667
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