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Original article Dynamic changes in clinical biomarkers of cardiometabolic diseases by changes in exercise behavior, and network comparisons: a community-based prospective cohort study
JooYong Park1,2orcid , Jaesung Choi3orcid , Ji-Eun Kim2orcid , Sang-Min Park2,4orcid , Joo-Youn Cho2,5orcid , Daehee Kang2,6orcid , Miyoung Lee7orcid , Ji-Yeob Choi2,3orcid
Epidemiol Health 2022;e2023026
DOI: https://doi.org/10.4178/epih.e2023026 [Accepted]
Published online: February 16, 2023
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1Department of Big Data Medical Convergence, Eulji University, SEONGNAM-SI, Korea
2Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
3Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea
4Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
5Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Korea
6Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
7College of Physical Education and Sport Science, Kookmin University, Seoul, Korea
Corresponding author:  Ji-Yeob Choi,
Email: miso77@snu.ac.kr
Received: 2 November 2022   • Revised: 13 January 2023   • Accepted: 16 January 2023

OBJECTIVES
Lifestyles, including exercise behaviors, change continually over time. This study examined whether the clinical biomarkers (CBs) related to cardiometabolic diseases (CMDs) and their relationships differed with changes in exercise behavior.
METHODS
The Ansan-Ansung cohort study (third to fifth phases; n=2,668) was used in the current study. Regular exercise behavior was investigated using a yes/no questionnaire. Changes in exercise behavior were classified into 4 groups: Y-N, N-Y, Y-Y, and N-N, with “Y” indicating that a participant regularly engaged in exercise at a given time point and “N” indicating that he or she did not. Fourteen CBs related to CMDs were used, and the associations between changes in exercise behavior and relative changes in CBs were examined. CB networks were constructed and topological comparisons were conducted.
RESULTS
Y-N was associated with increases in fasting blood sugar and insulin levels in men, and increased total cholesterol and low-density lipoprotein cholesterol levels in women. Meanwhile, N-Y was inversely associated with body fat percentage, visceral fat percentage, fasting insulin, and triglyceride level. Waist circumference played a central role in most networks. In men, more edges were found in the N-Y and Y-Y groups than in the N-N and Y-N groups, whereas women in the N-Y and Y-Y groups had more edges than those in the N-N and Y-N groups.
CONCLUSIONS
Consistent exercise or starting to engage in regular exercise had favorable effects on CBs related to CMDs, although their network patterns differed between the sexes.


Epidemiol Health : Epidemiology and Health