Korean J Sports Med.  2024 Mar;42(1):46-54. 10.5763/kjsm.2024.42.1.46.

Association of Changes in Sitting Time with the Risk of Developing Diabetes: A Community-Based Cohort Study

Affiliations
  • 1Department of Physical Education, Seoul National University, Seoul, Korea
  • 2Institute of Sport Science, Seoul National University, Seoul, Korea
  • 3Department of Physical Education, Chonnam National University, Gwangju, Korea

Abstract

Purpose
The purpose of the present study was to investigate the relationship between changes in sitting time (ST) with the risk of developing metabolic syndrome.
Methods
This study examined 2,814 adults aged 40 to 69 years who participated in the Korean Genome and Epidemiology Study, a community-based cohort study, for a total of 10 years. Changes in ST were assessed using the results obtained from physical activity questionnaires completed during the baseline and follow-up surveys. The diagnosis of metabolic syndrome was classified according to the criteria established by the International Diabetes Federation. We conducted survival analysis by the multivariate extended Cox regression model. The significance level for all analyses was set at p< 0.05.
Results
We compared the newly ST group with ST less than 7 hours in the baseline and more than 7 hours in the first follow-up to the consistently non-ST group with ST less than 7 hours in both the baseline and the first follow-up. In this comparison, we found that the hazard ratio (HR) for the incidence of metabolic syndrome increased by 33% (HR, 1.33; 95% confidence interval [CI], 1.02–1.74) for changes in total daily sedentary time and by 47% (HR, 1.47; 95% CI, 1.13–1.92) for changes in weekday sedentary time in the newly ST group.
Conclusion
Changes in ST are associated with the risk of developing metabolic syndrome. These findings can serve as fundamental data for further research on the relationship between changes in ST, and the occurrence of metabolic syndrome.

Keyword

Sedentary behavior; Aged; Metabolic syndrome; Proportional hazards models; Cohort studies

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