| Objective To study the prevalence of hyperuricemia(HUA)in physical examination populations in some areas of Guangxi,and to analyze the influencing factors of HUA and its relationship with metabolic diseases such as hypertension,diabetes,fatty liver,dyslipidemia and renal insufficiency.Linkage provides a scientific basis for HUA prevention and control.Method1.Survey respondents:1605 health check-ups from Nanning city,Guiping city,and Pingnan county were selected for the physical examination at the First Affiliated Hospital of Guangxi Medical University from 2014 to 2015.2.Information(1)Health examination data:including height,weight,blood pressure,liver B-ultrasound results;uric acid,ALT,AST,creatinine,total cholesterol,triglycerides and other laboratory biochemical indicators.(2)Questionnaire data:The surveyed subjects were surveyed using self-designed questionnaires,including:eating habits,exercise,sleep,smoking and drinking.3.Statistical methods:The collected health examination data and questionnaire data were collected using EpiData3.1 to establish a database file.After the consistency test was completed,SPSS 17.0 was introduced for statistical analysis.The measurement data with normal distribution is described by mean±standard deviation,and the measurement data of skew distribution is described by median(M)and interquartile range(Q);Group t test;The difference between the skewed distribution data groups was determined by rank sum test.Count data adoption rate or composition ratio description,comparison between group rate or composition ratio is tested.The HUA related factors were analyzed by single factor two-class unconditional logistic regression model.The factors of univariate analysis were included in the logistic model for multi-factor analysis.The regression method was used to select variables.The test level of variables entering the model wasα=0.10.The difference was statistically significant at P<0.05.Result1.General situation of the research objectA total of 1605 health check-ups were included in the study,including1017 in Nanning,accounting for 63.4%;343 in Guiping,accounting for 21.4%;245 in Pingnan County,accounting for 15.2%;962 males,accounting for 59.9%;643female people,accounting for 40.1%,male to female ratio is 1.5:1;average age is 43.2±13.3 years old(22-88 years old),including 473 people aged 20-34,accounting for 29.5%,667 people aged 35-49,accounting for 41.5%,465 fifty years old and over people,accounting for 29.0%.2.HUA detection rateAmong the 1605 healthy medical examiners,316 cases were detected,and the detection rate was 19.7%.3.HUA detection rate under different factors(1)Detecting rate of HUA in different regionsThe detection rates of HUA in Nanning,Guiping and Pingnan were 19.0%(193/1017),19.5%(67/343)and 22.9%(56/245),respectively,and the difference was not statistically significant(?~2=1.886,P>0.05)(2)Detecting rate of HUA for different gendersThe detection rate of male HUA was 22.6%;the detection rate of female HUA was 6.5%,and the male was significantly higher than female,the difference was statistically significant(?~2=109.256,P<0.001).(3)Detecting rate of HUA at different agesThe detection rate of HUA in the 20-34 age group was 13.5%;the detection rate in the 35-49 age group was 21.3%;the detection rate in the 50-year-old group and the above group was 23.7%,the difference was statistically significant(P<0.001).(4)Detecting rate of HUA in different blood pressure conditionsThe detection rate of HUA with high systolic blood pressure was 29.1%,and the detection rate of systolic blood pressure was 17.2%.The detection rate of diarrhea was 31.6%,and the detection rate of diastolic blood pressure was16.9%.There were significant differences between the two groups(P<0.001).(5)Detecting rate of HUA under different liver functionsIn patients with high serum ALT,the detection rate of HUA was 36.6%,and the detection rate of ALT was 18.2%.The difference was statistically significant(P<0.05).The detection rate of HUA was 26.9%,and the detection rate of AST was 19.3%.The difference was not statistically significant(P>0.05).The detection rate of HUA in fatty liver was 32.6%,and the detection rate in non-fatty liver was 13.4%.The difference was statistically significant(P<0.05).The detection rate of HUA in male fatty liver was 35.7%,and the detection rate of HUA in female fatty liver was 19.2%.The difference was statistically significant(Male(?~2=21.877,P<0.001),female(?~2=26.731,P<0.001).(6)Detecting rate of HUA in different dietsThe difference in the detection rate of soybean and bean products was statistically significant(?~2=8.861,P<0.05).The detection rate of HUA was23.3%,and the normal rate of HUA was 18.7%.There was no significant difference in the detection rate(?~2=3.804,P>0.05).Daily intake of meat and meat products,fish and eggs were also not statistically significant(P>0.05).(7)Smoking detection rate of smoking,drinking and exerciseThe detection rate of non-smokers was 16.1%;the detection rate of quitters was 24.1%;the detection rate of smokers was 30.2%,and the difference of HUA detection rates among different smoking cases was statistically significant(?~2=36.895,P<0.001);The detection rate of HUA was not 13.5%;the HUA detection rate was 19.1%;the HUA detection rate was 21.3%,and the difference in HUA detection rate was statistically significant(?~2=9.840,P<0.05);The detection rate of HUA between exercisers and non-exercisers is 25.5%and23.1%,respectively.The detection rate of HUA of severe sleep shortage was significantly 19.4%,The HUA detection rate of lack of sleep was 19.9%,The HUA detection rate of sleep is generally enough was 19.9%,and the HUA detection rate of adequate sleep was 21.4%.There was no significant difference between the groups.(?~2=0.509,P>0.05).4.Comparison of detection indexes between HUA group and non-HUA groupThe differences of ALT,AST,SP,DP,HDL,LDL,Cr,TC and TG groups were higher than those of non-HUA group(P<0.05).5.Single factor logistic regression analysisResults:gender,age,SP,DP,ALT,AST,Cr,HDL,LDL,TC,TG,BMI,fatty liver,smoking,drinking,exercise,meat and meat products with fish,eggs,soybeans and Univariate logistic regression analysis of the intake,smoking,drinking,and sleep of five types of foods such as bean products,water,and salt.The results were gender,SP,DP,ALT,Cr,LDL,TC,TG,BMI,and fat.Liver,smoking,drinking,soy and bean products and moderate intake of salt were meaningful(P<0.05).6.Multi-factor logistic regression analysisThe results of the analysis showed that men,high ALT,high Cr,high TG,fatty liver,overweight or obesity,fatty liver increased the risk of HUA,the OR were 0.26,1.56,45.47,1.55,1.67,1.81,1.97;soybean And the intake of bean products is moderate or more,alcohol withdrawal can reduce the risk of HUA,the OR values are 0.70,0.30,0.32.ConclusionThe detection rate of HUA is higher in this study.The detection rate of male is higher than that of female.The abnormal liver function,fatty liver,dyslipidemia,serum Cr,overweight or obesity,eating habits and so on have a close relationship with HUA.Controlling weight,abstaining from alcohol,and eating more foods such as soy and legumes can reduce the incidence of HUA. |
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