Assessment of Dietary Intervention Effects on Food Intake in Mus musculus using Repeated Measures ANOVA

Suliyanto Suliyanto; Dita Amelia; Aini Divayanti Arrofah; Rindiani Ahmada Alisiah; Nuzulia Anida; Utsna Rosalin Maulidya

doi:10.31764/jtam.v9i4.32467

Assessment of Dietary Intervention Effects on Food Intake in Mus musculus using Repeated Measures ANOVA

Suliyanto Suliyanto, Dita Amelia, Aini Divayanti Arrofah, Rindiani Ahmada Alisiah, Nuzulia Anida, Utsna Rosalin Maulidya

Abstract

The prevalence of type 2 diabetes, metabolic syndrome, along with obesity that causes disturbances in the body's metabolic processes are the main triggers of chronic liver disease or in scientific language called Non-Alcoholic Fatty Liver Disease (NAFLD), getting out of control. This makes managing this disease an increasingly serious global health challenge. One of the main factors influencing this condition is a high-fat diet and an unhealthy lifestyle. Therefore, evaluation of high-fat diet programs on metabolic parameters such as food intake patterns is important as a preventive measure. This study aims to analyze the differences in food intake levels with seven different types of dietary treatments for 28 days, which were tested on mice (Mus musculus) which have physiological and biochemical characteristics that almost resemble humans. The method used was analysis of variance (ANOVA) for longitudinal data to evaluate the dynamics of food consumption across diet groups and observation periods. The results showed that the type of dietary treatment significantly influenced food intake patterns over time, indicating that diet composition plays a crucial role in shaping eating behavior. These findings highlight the importance of both diet type and treatment duration in influencing consumption patterns. However, since this study has not yet identified the most effective dietary regimen, future research is recommended to investigate diet types with high variability, while considering additional factors such as age, sex, and physiological characteristics, as well as extending the observation period to better understand long-term impacts.

Keywords

Food Intake; High-fat diet; NAFLD; Repeat Measure ANOVA.

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DOI: https://doi.org/10.31764/jtam.v9i4.32467