## 4 Conclusions  
This study compared the characteristics of groups with and without dyslipidemia by age group using data from the 8 th National Health and Nutrition Examination Survey (2019-2021) and analyzed the risk factors by constructing a dyslipidemia prediction model by adult age group through a logistic regression analysis and decision tree analysis. Previous studies have shown that dyslipidemia can be prevented and managed through health behaviors and healthy eating habits. In this study, the possibility of dyslipidemia occurrence according to a combination of various factor variables was predicted by analyzing the correlation between dyslipidemia and health behaviors and eating habits by age group.  
As a result of analyzing the difference in the dyslipidemia prevalence according to the general characteristics and health status, there was no significant difference between the men and women in the 19-34, 35-49, and 50-64 age groups, but there was a significant difference in the dyslipidemia prevalence in the 65 years or older group. It was found that the dyslipidemia risk also increases with age.  
The logistic regression analysis results showed that the age, marital status, subjective health perception, body mass index, and family history had a significant effect on the dyslipidemia prevalence in terms of the general characteristics. In terms of the health behavior characteristics, the alcohol intake frequency and aerobic exercise frequency were found to have a statistically significant effect and, in terms of eating habits, the breakfast frequency and dining out frequency were significant factor variables in the dyslipidemia prevalence.  
In the decision tree analysis results, the most important dyslipidemia predictor showed differences by age group. In the 19-34 age group, the BMI was the most important variable, and in the 35-49 age group, gender was the most important variable, followed by subjective health perception. In the 50-64 age group, the subjective health perception was the most important classification criterion, and the BMI was the next most important variable. In addition, in the 65 and older age group, the BMI was the most important predictor variable in the dyslipidemia prevalence, and in this group, females with obesity were predicted to have a greater risk of dyslipidemia than those who were not. As age increases, health behaviors such as healthy eating habits and aerobic exercise become very important for preventing and managing dyslipidemia.  
Conceptualization, J.-H.K. and J.-S.K.; methodology, J.-H.K.; software, J.-H.K. and J.-S.K.; validation, J.-H.K. and K.-H.K.; formal analysis, J.-H.K.; investigation, J.-S.K.; resources, J.-S.K.; data curation, J.-S.K.; writing--original draft preparation, J.-S.K.; writing--review and editing, J.-H.K.; visualization, J.-H.K.; supervision, K.-H.K.; project administration, K.-H.K.; funding acquisition, K.-H.K. All authors have read and agreed to the published version of the manuscript.  
This work was supported by the Ministry of Education of the Republic of the Korea and National Research Foundation of Korea (NRF-2020S1A5C2A04092504).  
This study was conducted according to the principles of the World Medical Association Declaration of Helsinki and was received approval for exemption from deliberation by the Research Ethics Committee of Konyang University (KYU 2024-09-027).  
Not applicable.  
The data underlying this article will be shared upon a reasonable request and the authors are not authorized to disclose the relevant data.  
The authors declare no conflicts of interest.