Association between nocturnal sleep duration and the risk of hyperuricemia among Chinese government employees: A cross-sectional study

Abstract

ObjectivesEvidence has shown that nocturnal sleep duration is associated with the risk of hyperuricemia, yet the findings are inconsistent. Thus, we aimed at exploring the association between nocturnal sleep duration and the risk of hyperuricemia in Chinese government employees.MethodsA total of 10,321 government employees aged 20–60 years were collected from the Cohort Study on Chronic Diseases among Government Employees in Hunan Province, China. Sleep duration was self-reported. And serum uric acid levels >420 μmol/L in men and >360 μmol/L in women were considered hyperuricemia. The association between nocturnal sleep duration and hyperuricemia risk was examined utilizing multivariate logistic regression models. To further examine the connection between nocturnal sleep duration and serum uric acid levels, multiple linear regression analyses were utilized.ResultsThe prevalence of hyperuricemia was 17.2%. The results of logistic regression demonstrated that, in contrast to participants whose sleep duration was 7–8 h, those who slept for <7 h had an elevated risk of hyperuricemia (OR = 1.343, 95%CI: 1.126, 1.601). Further stratified analysis revealed that this association was still observed in those without obesity (OR = 1.365; 95%CI: 1.127, 1.655), hypertension (OR = 1.290, 95%CI: 1.054, 1.578), or diabetes mellitus (OR = 1.361, 95%CI: 1.136, 1.631). Multiple linear regression showed that shorter sleep duration (< 7 h) was positively correlated with serum uric acid levels. In comparison to individuals who slept for 7–8 h, those with sleep duration of fewer than 7 h had serum uric acid levels that were 7.231 μmol/L (95% CI: 2.875, 11.588) higher.ConclusionShort nocturnal sleep duration (< 7 h) was associated with a higher risk of hyperuricemia, especially in participants without obesity, hypertension, or diabetes mellitus. Besides, short nocturnal sleep duration was related to greater uric acid levels.

The Effect of Sleep on Metabolism, Musculoskeletal Disease, and Mortality in the General US Population: Analysis of Results From the National Health and Nutrition Examination Survey

“…Lee et al [41] found a U-shaped association between sleep duration and UA in Korean women, indicating that female individuals with a sleep duration of 7 to 8 hours showed the lowest UA level. In addition, many related studies have reported the negative association that increased sleep duration was significantly associated with a lower risk of HUA [42][43][44]. However, in this study, we found a threshold effect between sleep duration and HUA, indicating a positive association between HUA and sleep duration when sleep duration was <5 hours.…”

The development and validation of a non-invasive prediction model of hyperuricemia based on modifiable risk factors: baseline findings of a health examination population cohort

“…Modifiable risk factors of HUA, such as excess body weight, dairy products, purine-rich food intake, alcohol consumption, sleep duration, etc . 6,15,19,20 have particular importance in disease prevention and control given their changeable levels and thereafter resulting in potential health benefits. Shi et al developed a prediction model of HUA that contains no invasive tests as predictors, in which BMI was selected as a modifiable risk factor.…”

“…22 A study among Chinese government employees found that short nocturnal sleep duration was associated with a higher risk of HUA. 20 The mechanisms of the short sleep duration and HUA is still unclear. We hypothesized that the mediation effect between less sleep, obesity, elevated blood pressure and HUA can partially explain this association, but it still requires further verification.…”

“…Modifiable risk factors of HUA, such as excess body weight, dairy products, purine-rich food intake, alcohol consumption, sleep duration, etc. 6,15,19,20 have particular importance in disease prevention and control given their changeable levels developed a prediction model of HUA that contains no invasive tests as predictors, in which BMI was selected as a modifiable risk factor. 21 In addition to the well-known risk factors of HUA, such as overweight/obesity, alcohol consumption, our study found that staying up late was commonly associated with a higher risk of HUA, which is in line with other previous studies.…”