Hubungan indeks massa tubuh dan kualitas tidur

Abstract

Abstract Background: Sleep is a physiological need like eating, drinking, and breathing. This activity is a basic need that is very important for human function, health, and well-being. Sleep can affect memory, learning, mood, behavior, immunological responses, metabolism, hormone levels, digestive processes, and many other physiological functions. Lack of sleep can cause physical and mental health problems, injuries, decreased productivity, and even increased risk of death. One factor in poor sleep quality is being overweight (obesity). Purpose: To determine the relationship between body mass index (BMI) and sleep quality. Method: Observational quantitative descriptive research with a cross-sectional approach, was conducted in Bandar Jaya Village in February-March 2024 on 225 adult participants and sample data collection using the simple random sampling method. The independent variable in this study is body mass index (BMI), while the dependent variable is sleep quality. The research instrument used a questionnaire and BMI measuring instrument. Data analysis used univariate and bivariate Pearson correlation tests with a confidence level of 95%. Results: The normality test obtained a p value > 0.05, namely the Kolmogorov-Smirnov BMI score of 0.077 and sleep quality of 0.134 so that the data is normally distributed. The BMI and sleep quality variables obtained a significant r count value of 0.215, which means that they are not correlated or related to each other because they have positive or unidirectional properties. Conclusion: There is no correlation between body mass index (BMI) and sleep quality, but the relationship is negative because the higher the BMI, the lower the sleep quality. Suggestion: To improve public health and safety, broad support is needed to improve sleep education, screen for sleep disorders, and optimize sleep health through public health interventions, workplace interventions, and expanded sleep health research. In addition, further research should include variables such as stress, medical history, and environment. Keywords: Adults; Body Mass Index (BMI); Sleep Quality.