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Effect of Serum Folic Acid Levels on Metabolic Syndrome

혈중 엽산농도가 대사증후군에 미치는 영향

  • Yoonjin Park (Department of Nursing, Joongbu University)
  • 박윤진 (중부대학교 간호학과)
  • Received : 2023.07.25
  • Accepted : 2023.08.30
  • Published : 2023.08.31

Abstract

This study aims to examine the relationship between serum folic acid levels and metabolic syndrome. The analysis data were downloaded and used for the 7th 3rd (2018) data of the National Health and Nutrition Survey and in this study, 495 men, 706 women, and a total of 1,201 people were finally analyzed. The data analysis used Chi-square and t-test for the difference in serum folic acid according to general characteristics, Pearson correlation for the relationship between sub-factors of metabolic syndrome, and logistic regression analysis for serum folic acid levels and metabolic syndrome indicators. According to the results of this study, there was a significant negative correlation between serum folic acid levels and waist circumference (r=-0.113, p<0.01), triglyceride (r=-0.086, p<0.05), and HDL-cholesterol (r=0.086, p<0.05) showed a significant positive correlation. As a result of regression analysis, in the case of HDL-cholesterol, the group with normal serum folic acid levels was significantly higher than the group with low (p<0.05). Therefore, through this study, it is proposed to develop appropriate eating habits and health education programs to prevent metabolic syndrome.

본 연구는 혈중 엽산농도와 대사증후군의 관련성을 살펴보고자 한다. 분석에 사용한 자료는 국민건강영양조사 2018년도 자료(제7기 3차)를 사용하였으며 본 연구는 만 19세 이상인 성인을 대상으로 혈중 엽산농도를 측정한 대상자 중 남자 495명, 여자 706명, 총 1,201명을 최종 분석하였다. 자료의 분석은 일반적 특성에 따른 혈중 엽산 차이는 Chi-square와 t- test로, 대사증후군 하부요인들간의 관계는 Pearson 상관관계, 혈중엽산농도와 대사증후군 지표는 로지스틱 회귀분석을 사용하였다. 본 연구 결과에 의하면 혈중 엽산농도와 대사증후군의 하부요인인 허리둘레(r=-0.113, p<0.05), 중성지방(r=-0.086, p<0.05)과 유의미한 음의 상관관계, HDL-cholesterol(r=0.086, p<0.05)은 유의미한 양의 상관관계를 보였으며 회귀분석결과 HDL-cholesterol의 경우 혈중엽산농도가 정상인 군이 낮은 군에 비하여 유의미하게 높았다(p<0.05). 따라서 본 연구를 통하여 대사증후군 예방을 위한 적절한 식습관 및 건강 교육프로그램 개발을 제안한다.

Keywords

Acknowledgement

이 논문은 2023년도 중부대학교 학술연구 지원에 의하여 이루어진 것임(과제번호: 2023-1001-003).

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