7747 Poor Sleep Health And Shift Work Are Modifiable Risk Factors For Chronic Kidney Disease In UK Biobank Participants

Abstract Disclosure: M. Kanki: None. R. Xiang: None. N. Artika: None. D. Nikolic-Paterson: None. G.H. Tesch: None. F. Takeuchi: None. M.J. Young: None. Evaluating the impact of lifestyle factors and work practices on renal function has the potential to support the early prevention of chronic kidney disease (CKD). Current studies linking disrupted circadian rhythms to the development or progression of CKD are limited and show disparate findings. In this study, we aimed to investigate associations between circadian rhythm-disrupting behaviours and markers of renal function in a population-based cohort using the UK Biobank database (>390,000 European White adults). We compared estimated glomerular filtration rate (eGFR), urine albumin-to-creatinine ratio (UACR), blood creatinine and blood urate levels between short (<5-6hr), normal (7hr) or long (8->9hr) sleep lengths, in subjects assigned healthy (4-5), moderate (2-3) or poor (0-1) sleep quality scores, and subjects with different shift work schedules. History of hypertension, diabetes, cardiovascular disease, AKI, and CKD was lowest in subjects sleeping 7 hrs/day, in participants with healthy sleep quality, and in those who did not undertake shift work. Using multiple linear regression analyses, we identified an inverse U-shaped relationship between sleep length and eGFR after adjusting for key covariates including biological sex, age, and BMI in the baseline model. Sleep quality score was positively associated with eGFR, and negatively associated with blood urate. When stratified according to inflammatory status, biological sex, or age, this positive association between sleep quality and eGFR was lost in males and those with low or medium C-reactive protein (CRP) levels but remained significant in both age groups (≤50 years and >50 years old). In contrast, sleep quality was negatively associated with UACR in participants with medium CRP levels, above 50 years old, or separately in males only. Investigating associations between sleep length, shift work schedules, and other sleep-related factors (e.g. chronotype, daytime napping, and insomnia) with renal function is in progress. This study is the first to link associations between sleep quality and renal function to inflammatory status. We also show that compromised sleep health can affect renal function differently between males and females and is dependent on age. To date, our findings support promoting healthy sleep quality as a modifiable risk factor of renal dysfunction, which could be valuable in the prevention of CKD. Presentation: 6/1/2024

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Journal
Journal of the Endocrine Society
Published
2024-10-01
DOI
https://doi.org/10.1210/jendso/bvae163.1067
Primary Topic
Workplace Health and Well-being
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article
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article

7747 Poor Sleep Health And Shift Work Are Modifiable Risk Factors For Chronic Kidney Disease In UK Biobank Participants

Greg H. Tesch, David J. Nikolic‐Paterson, Ruidong Xiang, Fumihiko Takeuchi et al.
Journal of the Endocrine Society
Workplace Health and Well-being
article

7747 Poor Sleep Health And Shift Work Are Modifiable Risk Factors For Chronic Kidney Disease In UK Biobank Participants

Greg H. Tesch, David J. Nikolic‐Paterson, Ruidong Xiang, Fumihiko Takeuchi, Monica Kanki, Morag Jennifer Young, Nath Artika
article en

Abstract

Abstract Disclosure: M. Kanki: None. R. Xiang: None. N. Artika: None. D. Nikolic-Paterson: None. G.H. Tesch: None. F. Takeuchi: None. M.J. Young: None. Evaluating the impact of lifestyle factors and work practices on renal function has the potential to support the early prevention of chronic kidney disease (CKD). Current studies linking disrupted circadian rhythms to the development or progression of CKD are limited and show disparate findings. In this study, we aimed to investigate associations between circadian rhythm-disrupting behaviours and markers of renal function in a population-based cohort using the UK Biobank database (>390,000 European White adults). We compared estimated glomerular filtration rate (eGFR), urine albumin-to-creatinine ratio (UACR), blood creatinine and blood urate levels between short (<5-6hr), normal (7hr) or long (8->9hr) sleep lengths, in subjects assigned healthy (4-5), moderate (2-3) or poor (0-1) sleep quality scores, and subjects with different shift work schedules. History of hypertension, diabetes, cardiovascular disease, AKI, and CKD was lowest in subjects sleeping 7 hrs/day, in participants with healthy sleep quality, and in those who did not undertake shift work. Using multiple linear regression analyses, we identified an inverse U-shaped relationship between sleep length and eGFR after adjusting for key covariates including biological sex, age, and BMI in the baseline model. Sleep quality score was positively associated with eGFR, and negatively associated with blood urate. When stratified according to inflammatory status, biological sex, or age, this positive association between sleep quality and eGFR was lost in males and those with low or medium C-reactive protein (CRP) levels but remained significant in both age groups (≤50 years and >50 years old). In contrast, sleep quality was negatively associated with UACR in participants with medium CRP levels, above 50 years old, or separately in males only. Investigating associations between sleep length, shift work schedules, and other sleep-related factors (e.g. chronotype, daytime napping, and insomnia) with renal function is in progress. This study is the first to link associations between sleep quality and renal function to inflammatory status. We also show that compromised sleep health can affect renal function differently between males and females and is dependent on age. To date, our findings support promoting healthy sleep quality as a modifiable risk factor of renal dysfunction, which could be valuable in the prevention of CKD. Presentation: 6/1/2024

Journal of the Endocrine SocietyVol. 8(Supplement_1)
Baker Heart and Diabetes Institute (AU), Monash Medical Centre (AU), Monash University (AU)
No poverty
Openalex Percentile: Top 70%
Workplace Health and Well-being
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