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. 2023 Apr 12;13(1):5998.
doi: 10.1038/s41598-023-33130-1.

Association between social jetlag and chronic kidney disease among the Korean working population

Affiliations

Association between social jetlag and chronic kidney disease among the Korean working population

Seong-Sik Cho et al. Sci Rep. .

Abstract

Social jetlag refers to the discrepancy between social time and the body's internal rhythm, which can lead to unfavorable health outcomes. However, no study has directly explored the relation between social jetlag and chronic kidney disease (CKD). This study aims to investigate the relationship between social jetlag and CKD in a representative population of South Korea. This study included 8259 currently economically active Korean population in the Korea National Health and Nutrition Examination Survey. Social jetlag was calculated as the difference between the midpoint of sleep time on weekdays and free days. The estimated glomerular filtration rate (eGFR) was calculated the by using the serum creatinine value according to the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Participants with an eGFR less than 60 ml/min/1.73 m2 were defined as CKD cases. The estimated glomerular filtration rate decreased as social jetlag increased. Multiple logistic regression analysis showed that the adjusted odds ratio (95% confidence interval) of CKD for 1-2 h of social jetlag was 0.926 (0.660-1.299), while the odds ratio for more than 2 h was 2.042 (1.328-3.139) when less than 1 h was used as reference. This study found that social jetlag and risk of CKD were significantly related in the Korean working population.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Schematic diagram depicting the selection of the study population.
Figure 2
Figure 2
Nonparametric association between social jetlag (hours) and standardized estimated glomerular filtration rate (mL/min/1.73 m2) that was adjusted for age, sex, marital status, occupation, weekly working hours, smoking, drinking, hypertension, diabetes, obesity, and self-rated health. Note that the y-axis is "difference from the mean", not the actual value of estimated glomerular filtration rate.

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