| Objective:The purpose of this study was to understand the prevalence of dyslipidemia in the in the health examination population in Guiyang City,To explore the effects of different demographic characteristics,eating habits,lifestyles on the prevalence of dyslipidemia,Provide a scientific and reasonable basis for the health management of patients with dyslipidemia.Methods:Collected a group of people who as a research object were selected from June to December 2018 in the Medical Examination Center of Affiliated Hospital of Guizhou Medical University by simple random sampling,data were collected by questionnaires,physical examinations and laboratory examinations.The contents of the questionnaire included general demographic characteristics,family history of different diseases,different body measurements,current diseases,dietary habits,dietary intake and lifestyles;physical examination included measurement of height,weight,blood pressure,waist circumference,hip circumference and neck circumference;blood biochemical indicators included triglyceride(TG),total cholesterol(TC),low density lipoprotein cholesterol(LDL-C),high density lipoprotein cholesterol(HDL-C),fasting blood glucose(FBG)and uric acid(UA);Differences in the detection rate of dyslipidemia across participant characteristics between groups were compared using?~2 test,Bivariate Logistic regression model was used to were used to test for significant determinants of dyslipidemia.Results:1.In the study,1838 people were investigated,including 986 males and 825 females,respectively The average levels of serum TC,TG,HDL-C and LDL-C were 4.85 mmol/L,1.31 mmol/L,1.41 mmol/L and 2.91mmol/L.2.the prevalence of total dyslipidemia was 31.9%,among which the detection rate of dyslipidemia was 45%in males and 16.8%in females.the detection rate of TC7.5%,the detection rate of high TG was 19.5%,the detection rate of low HDL-C was16.5%,and the detection rate of high LDL-C was 8.2%.3.Univariate analysis showed that the detection rate of high TC in different ages,marital status,occupational type,family history of dyslipidemia,waist-to-hip ratio and waist-to-body ratio,BMI,hypertension,hyperuricemia,visceral frequency of food animals,dietary taste Whether there is a difference between sweetness,frequency of eating breakfast,frequent tea drinking,sitting time,and passive smoking were statistically significant.;correlation analysis showed that the detection rate of high TC was associated with intake of cereals,meat and products,and milk and dairy products;multi-factor analysis shows that Age(OR=1.841,p<0.001)and intake of meat and meat products(OR=2.038,p<0.001)were negatively correlated withthe detection rate of high TC.whether to drink tea regularly(OR=0.639,p=0.026),frequency of eating breakfast(OR=0.764,p=0.001),intake of cereals and potatoes(OR=0.791,p<0.001)were positively correlated with the detection rate of high TC.4.Univariate analysis showed that the detection rate of high TG varies in gender,age,marital status,family history of dyslipidemia,neck circumference,waist circumference,waist to hip ratio,waist to body ratio,diabetes mellitus and hypertension.there are differences among hyperuricemia,daily milk intake,frequency of eating animal viscera,fast eating speed,over-satiety,different dietary tastes(sweet or greasy),frequency of eating breakfast,smoking and drinking,frequent tea drinking,sedentary time and passive smoking were statistically significant;the correlation analysis showed that the prevalence of high TG was correlated with intake of cereals,potatoes,dairy products and fruits;multi-factor analysis shows that spouse(OR=1.648,p=0.011),hyperuricemia(OR=2.052,p<0.001),diabetes(OR=4.127,p<0.001),sweet taste(OR=1.545,p=0.011),smoking(OR=1.839,p<0.001),family history of dyslipidemia(OR=2.26,p<0.001),BMI(OR=1.842,p<0.001),passive smoking(OR=1.128,p<0.001)were negatively correlated with the detection rate of high TG,eating breakfast frequency(OR=0.791,p<0.001),were positively correlated with the detection rate of high TG.5.Univariate analysis showed that the detection rate of low HDL-C is different in gender,neck circumference,waist circumference,waist-to-hip ratio and waist-to-body ratio,BMI,diabetes,hypertension,hyperuricemia,frequency of eating animal internal organs,Whether the eating speed is faster,whether the meal is too full,whether the eating taste is greasy,the frequency of eating breakfast,whether smoking and drinking,whether to drink tea regularly,sitting time,and passive smoking are different were statistically significan,he correlation analysis showed that the detection rate oflow HDL-C was correlated with intake of cereals,potatoes,dairy products and fruits;Multi-factor analysis shows that BMI(OR=2.019,p<0.001),diabetes(OR=4.251,p<0.001)?hyperuricemia(OR=2.011,p<0.001)?smoking(OR=1.743,p<0.001)?passive smoking(OR=1.125,p=0.029)were negatively correlated with the detection rate of low HDL-C,eating breakfast frequency(OR=0.803,p<0.001)were positively correlated with the detection rate of low HDL-C.6.Univariate analysis showed that the detection rate of high LDL-C is different in age,spouse,occupational type,neck circumference,waist circumference,waist-to-hip ratio and waist-to-body ratio,BMI,hypertension,hyperuricemia,eating sweetness,eating difference the frequency of breakfast,whether tea is often consumed,sitting time and passive smoking were statistically significan,the correlation analysis showed that the detection rate of high LDL-C was correlated with meat and meat products multi-factor analysis shows that marital status(OR=1.43,p=0.009)and BMI(OR=1.788,p<0.001),diabetes(OR=2.342,p<0.001),hyperuricemia(OR=2.342,p<0.001),eating sweetness(OR=1.491,p=0.015)?passive smoking(OR=1.189,P=0.001)were negatively correlated withthe detection rate of high LDL-C.The frequency of eating breakfast(OR=0.783,p<0.001)were positively correlated with the detection rate of high LDL-C.Conclusion:1.The detection rate of dyslipidemia among participants of Guiyang City is higher than that in the female population.he major types of dyslipidemia were high TG and low HDL-C.2.Metabolic abnormalities such as BMI,diabetes mellitus and hyperuricemia are correlated with the detection rate of high TC and low HDL-C,andit may be risk factors.3.Age,spouse,family history of dyslipidemia,sweeter eating habits,smoking,faster eating,passive smoking,and meat and meat intake may be risk factors for all types of dyslipidemia,frequent tea drinking and the intake of cereal potato may be a protective factor for the detection rate of high TC,and the high frequency of eating breakfast is a protective factor for various types of dyslipidemia.4.The detection rate of dyslipidemia is related to a variety of factors.in the process of preventing and treating dyslipidemia,we control body weight,lower blood sugar,blood pressure and uric acid levels,strengthen physical exercise,change bad eating habits and keep rational diet,and actively carry out health education and popular science. |
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