Gholipour Saeed, Mohammadi Zahra, Bazmi Sina, Farahvashi Peyman, Tabrizi Reza
Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran.
USERN Office, Fasa University of Medical Sciences, Fasa, Iran.
Clin Exp Nephrol. 2025 Jun 23. doi: 10.1007/s10157-025-02720-w.
The evidence on the impact of sleep parameters on kidney function and chronic kidney disease (CKD) risk is inconsistent and warrants further research across diverse populations. Our study investigates the relationship between sleep and kidney function in both healthy individuals and those with CKD.
This cross-sectional study analyzed data from 9216 adults aged 35-70. Various sleep parameters were assessed and calculated using the Pittsburgh Sleep Quality Questionnaire. Kidney function was assessed by estimated glomerular filtration rate (eGFR), with CKD characterized as eGFR < 60 mL/min/1.73 m. Multiple linear regression was used in the statistical analysis to account for significant confounding variables.
In general, sleep duration (β: 0.18, 95% CI0.06, 0.30, p value < 0.001) and sleep efficiency (β: 0.03, 95% CI 0.01, 0.05, p value = 0.02) were positively correlated with GFR, while sleep latency (β: - 0.01, 95%CI - 0.02, 0.00, p value < 0.001) and daily naps (β: - 1.33, 95%CI - 1.76, - 0.90, p value < 0.001) were negatively correlated with GFR. Similarly, for those without CKD, sleep duration (β: 0.23, 95%CI 0.1, 0.36, p value < 0.001) and sleep efficiency (β: 0.04, 95%CI 0.01, 0.06, p value = 0.002) positively and sleep latency (β: - 0.01, 95%CI - 0.02, 0.00, p value = 0.002) and daily naps (β: - 1.02, 95%CI - 1.65, - 0.74, p value < 0.001) negatively were correlated with GFR. These associations were not significant in individuals with CKD.
Enhancing sleep duration, decreasing sleep latency, improving sleep efficiency, and minimizing daytime napping could potentially boost kidney function. The linear relationships suggest that even slight changes in sleep could affect GFR in non-CKD individuals. Although our statistically significant effect sizes show a small clinical impact, their consistent association warrants further exploration over longer periods with longitudinal studies, to assess if improving sleep can prevent declining renal function, potentially delaying the onset of renal issues in non-CKD populations.
关于睡眠参数对肾功能及慢性肾脏病（CKD）风险影响的证据并不一致，需要在不同人群中开展进一步研究。我们的研究调查了健康个体及CKD患者睡眠与肾功能之间的关系。
这项横断面研究分析了9216名35至70岁成年人的数据。使用匹兹堡睡眠质量问卷评估并计算了各种睡眠参数。通过估算肾小球滤过率（eGFR）评估肾功能，CKD的特征为eGFR < 60 mL/min/1.73m²。统计分析中采用多元线性回归以考虑显著的混杂变量。
总体而言，睡眠时间（β：0.18，95%CI 0.06，0.30，p值<0.001）和睡眠效率（β：0.03，9%CI 0.01，0.05，p值=0.02）与肾小球滤过率呈正相关，而睡眠潜伏期（β：-0.01，95%CI -0.02，0.00，p值<0.001）和日间小睡（β：-1.33，95%CI -1.76，-0.90，p值<0.001）与肾小球滤过率呈负相关。同样，对于无CKD的个体，睡眠时间（β：0.23，95%CI 0.1，0.36，p值<0.001）和睡眠效率（β：0.04，95%CI 0.01，0.06，p值=0.002）呈正相关，而睡眠潜伏期（β：-0.01，95%CI -0.02，0.00，p值=0.002）和日间小睡（β：-1.02，95%CI -1.65，-0.74，p值<0.001）呈负相关。这些关联在CKD个体中不显著。
延长睡眠时间、缩短睡眠潜伏期、提高睡眠效率以及尽量减少日间小睡可能会改善肾功能。线性关系表明，即使睡眠有轻微变化也可能影响非CKD个体的肾小球滤过率。尽管我们具有统计学意义的效应量显示临床影响较小，但其一致的关联性值得通过长期纵向研究进一步探索，以评估改善睡眠是否可以预防肾功能下降，从而可能延缓非CKD人群肾脏问题的发生。
