심박변이도와 대사증후군의 연관성
- Alternative Title
- Association between Heart Rate Variability and Metabolic Syndrome
- Abstract
- Objective
Several studies suggested that heart rate variability (HRV) is a risk factor for metabolic syndrome. The objective of this study was to evaluate the association between HRV and metabolic syndrome among Korean adults.
Methods
We included 6,945 people who visited the Soonchunhyang University Cheonan Hospital Health Examination Center and tested HRV, from March 2016 to November 2019. Among them, 6,827 subjects were included. We excluded those who had a history of hypertension, diabetes, stroke, or other disease and excluded them from the omission of questionnaires. We examined HRV with machine WISE-8000 (MooYoo Instruments, Seongnam, Korea) and divided three groups of HRV results. The diagnosis of metabolic syndrome was made using criteria modified National Cholesterol Education Program Adult Treatment Panel III. Logistic regression analysis was used to calculate odds ratios between HRV results and metabolic syndrome.
Results
The odds ratio for metabolic syndrome in low HRV result was 2.87 (95% confidence interval [CI], 1.87–3.34) compared with high HRV result. After adjustment for age, smoking, alcohol consumption, and physical activity, the odds ratio for metabolic syndrome in low HRV result was also 3.37 (95% CI, 2.44–4.65) compared with high HRV result.
Conclusion
Low HRV result using WISE-8000 (MooYoo Instruments) showed an increased risk for metabolic syndrome. HRV was associated with an increased risk of metabolic syndrome in Korean adults.
- All Author(s)
- Y. J. Cho
; D. W. Song
- Issued Date
- 2021
- Type
- Article
- Keyword
- Metabolic syndrome; Medical check-up; Heart rate variability
- Publisher
- Soonchunhyang Medical Research Institute
- ISSN
- 2233-4289
; 2233-4297
- Citation Title
- Soonchunhyang Medical Science
- Citation Volume
- 27
- Citation Number
- 1
- Citation Start Page
- 1
- Citation End Page
- 4
- Language(ISO)
- kor
- DOI
- 10.15746/sms.21.001
- URI
- http://schca-ir.schmc.ac.kr/handle/2022.oak/2165
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