| Objectives: Healthy sleep score include five sleep behaviors,covering sleep duration,and sleep quality,which is a comprehensive overview of sleep state.The higher the score,the healthier the sleep pattern.However,studies on the relationship between sleep duration and sleep quality and hyperuricemia(HUA)have been inconsistent.And there are few studies on the relationship between healthy sleep score and HUA.Therefore,this study was based on the "Hanman Community Cohort" population under the subproject "Regional Ethnic Cohort" of "Northeast Regional Natural Population Cohort Study" to explore the correlation between healthy sleep score and HUA,so as to provide more reasonable sleep guidance for the prevention and treatment of HUA.Methods: A total of 9,756 subjects were included in this study,and a cross-sectional study was used to explore the association between healthy sleep score and HUA.The basic information,sleep condition,physical examination,and biochemical indexes of the subjects were obtained through questionnaire survey,physical examination and biochemical index measurement.Analysis of variance,Chi-square test or rank sum test were used to compare the differences of various indicators between HUA group and non-Hua group as well as different healthy sleep assessment groups,including general demographic characteristics,biochemical indicators and sleep behavior,which were expressed by mean ± standard deviation,number of cases(percentage)and median(interquartile distance),respectively.In this study,1ogistic regression was used to analyze the correlation between sleep duration,sleep type,insomnia,snoring,excessive daytime sleep and healthy sleep score and HUA.Subgroup analysis was conducted with gender,age,ethnicity,body mass index and whether the subjects suffered from chronic diseases as grouping factors,and the multiplicative interaction was explored.According to the international standard,whether male or female,the blood uric acid concentration above 420 μmol/L was defined as HUA,and sensitivity analysis was performed.Results: Among the 9756 subjects,there were 1774 patients with HUA,with a prevalence of 18.18%.The prevalence was higher in males(27.54%)than in females(13.84%).Regression analysis results showed that 0 scores of sleep time,sleep type,insomnia,snoring and daytime excessive sleep were divided into the control group,and there was no statistical correlation between the risk of HUA and the study population scoring 1 score of five sleep behaviors before and after adjustment(P > 0.05).Healthy sleep score 0-1 was divided into the control group,and healthy sleep score of 2,3,4 and5 showed no statistical correlation with the risk of HUA before and after adjustment(P >0.05).There was no statistical correlation between the risk of HUA after adjustment for each point increase in trend P value and healthy sleep score(P > 0.05).In stratified analysis,snoring with a score of 1 was associated with an increased risk of HUA in other ethnic groups compared with snoring with a score of 0,and its odds ratio and 95%confidence interval were 1.42(1.00 – 2.05).1 point of excessive daytime sleep was associated with an increased risk of HUA in people aged ≤39 years,compared with 0points of excessive daytime sleep,and its odds ratio and 95% confidence interval were2.14(1.34 – 3.50).Healthy sleep score had a multiplicative interaction with sex,age,body mass index and chronic disease.According to the international standard: for both male and female,the blood uric acid concentration above 420 μmol/L was defined as HUA.Sensitivity analysis was conducted,which was basically consistent with the results of the main analysis.Conclusions: This study was based on a cross-sectional study of the "Hanman Community Cohort" population,and no statistical association was found between healthy sleep score and the risk of HUA.In the study on the correlation between healthy sleep score and HUA,healthy sleep score had a multiplicative interaction with gender,age,body mass index and chronic diseases. |
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