Analysis Of The Lipid Metabolism Situation In Ganguyi Oil Production Plant Of Yanchang Oilfield

ObjectiveAnalysis the prevalence of abnormal lipid metabolism and the effect of differentanthropometric indicators for predicting the abnormal lipid metabolism through theepidemiological investigation from workers of Yanchang Oilfield and provide atheoretical basis for the prevention and control of dyslipidemia in the region.Methods1.Conduct cluster sampling, questionnaire survey, physical examination andbiochemical testing to the workers of Ganguyi oil production plant. Questionnairesurveys include general situation (name, age and so on) work, history of alcohol andtobacco, diet, medical history, family history and so on.Uniform standards for medicalexamination, including: height, weight, waist circumference, hip circumference, bloodpressure.Determinate biochemical parameters: pumping fasting blood and testing glucose,cholesterol, triglyceride, low density lipoprotein, high density lipoprotein, uric acid andother biochemical markers. Without diabetes underwent an oral glucose tolerance test,diabetes underwent experimental meal bread.2.Use Epidata3.0to establish a database for statistical analysis using spss16.0software. Measurement data are expressed as mean±standard deviation, two samples arecompared using t tests, the average number of diverse are compared using analysis ofvariance. use χ2test to compare the rate, use logistic regression to analysis riskfactors.With α=0.05as test level, differences are statistically significant when P <0.05.3.Observe the overall prevalence of dyslipidemia, compare the prevalences ofdyslipidemia among different genders groups, different ages groups respectively,compare fasting blood glucose, postprandial glucose, uric acid, body mass index, waistcircumference, hip circumference, systolic blood pressure, diastolic blood pressure, waist-hip ratio, waist to height ratio between abnormal lipid metabolism group andnormal lipid metabolism group. Compare the prevalences of abnormal lipid metabolismamong different glucose metabolism, different uric acid metabolism, different bloodpressure state, different body mass index groups, analysis risk factors of dyslipidemiagroups. Compare different anthropometric indicators BMI, WC, WHtR, WHRpredicting for dyslipidemia using ROC curves.Result1.Dyslipidemia prevalence of the survied population is49.7%, male prevalence is56.2%, the standardized rate is36.2%，female prevalence is37.8%,the standardized rateis13.4%. Male prevalence is higher than female, χ2test analysis, there is a significantdifference (χ2=22.14, p=0.00). The prevalences of high TG、high TC、high LDL-C、lowHDL-C between male and female are2.0%and0.4%、7.6%and6.3%、8.7%and3.9%、6.5%and6.3%. The prevalences of high TG, high TC, low HDL-C between male andfemale have no difference (P>0.05), the prevalence of high LDL-C in male is higherthan in female (P <0.05), the difference is statistically significant.2.The prevalence of dyslipidemia increases with increasing age (p <0.05), when olderthan the age of70, the prevalence rate has dropped. TG, LDL-C tends to increase withage,TC, HDL-C has no significant difference in all age groups. High TC and high LDL-Chave the highest prevalence in the type of dyslipidemia(p <0.05). The prevalence ofdyslipidemia in male increases with age group and in the30to40years old sets thehighest prevalence, when after50years old there is a downward trend (p <0.05). Theprevalence of dyslipidemia in female increases with age group and in50to60years oldsets the highest (p <0.05).3.The fasting blood glucose, postprandial glucose, uric acid, body mass index, waistcircumference, hip circumference, systolic blood pressure, diastolic blood pressure,waist-hip ratio, waist-height ratio of dyslipidemia group are higher than those of thenormal lipid group, the differences are significant (P <0.05).4.The prevalence of dyslipidemia in abnormal glucose metabolism group is69.0% significantly higher than that of the normal glucose metabolism group40.2%, theprevalence of diabetic group is77.1%is significantly higher than the normal glucosemetabolism group, the difference is significant (p <0.05). The prevalence of high TG5.7%, high TC14.3%, low HDL-C14.3%of the diabetic group are higher than those ofthe glucose metabolism normal group0.6%、4.2%、5.6%, the differences are significant(P <0.05), the prevalence of high TG3.0%, high TC13.4%, high LDL-C10.3%of theabnormal glucose metabolism group are higher than those of the normal glucosemetabolism group, the differences are significant (P <0.05), the prevalence of theremaining types of dyslipidemia have no significant differences between groups (P>0.05). The prevalence of dyslipidemia in High uric acid86.7%and hypertension group59.2%are higher than that in the normal group48.8%、44.4%, the difference aresignificant (p <0.05). The prevalence of high TG13.3%、high TC26.7%in high uricacidis grou are higher than those of the normal group1.1%、6.7%, the differences aresignificant(P <0.05), the prevalence of the rest types have no significant differencesbetween the two groups(P>0.05). The prevalence of High TG3.1%in the hypertensiongroup is higher than that in the normotensive group0.4%, the difference is significant (P<0.05), the prevalence of the rest types of dyslipidemia have no significant differencesbetween the two groups (P>0.05). The prevalence of dyslipidemia in overweight group59.9%is higher than that in the normal group42.1%, the prevalence of dyslipidemia inobese group67.8%is higher than that in the overweight group59.9%(p <0.05). Theprevalence of high TG4.6%in obesity group is higher than that in the norrmal bodymass index group1.0%, the difference is significant (P <0.05), the prevalence of lowHDL-C9.9%in overweight group is higher than that in the normal body mass indexgroup3.9%, the difference is significant (P <0.05), the prevalence of the rest types ofdyslipidemia have no significant differences between the two groups (P>0.05).5.By Pearson correlation analysis, in male, TG is positively correlated with WC、BMI、WHR、WHtR, Correlation coefficients are (r=0.275, P=0.00),(r=0.336, P=0.00),(r=0.190, P=0.00),(r=0.287, P=0.00); TC is positively correlated with WC、WHtR, Correlation coefficients are（r=0.103，P=0.03）、（r=0.099，P=0.03）；LDL-C is positivelycorrelated with WC、WHtR, Correlation coefficients are（r=0.128，P=0.01）、（r=0.115，P=0.01）. In female, TG is positively correlated with WC、 BMI、 WHR、WHtR,Correlation coefficients are（r=0.226，P=0.00）、（r=0.163，P=0.01）、（r=0.133，P=0.04）；LDL-C is positively correlated with WC、WHR、WHtR,Correlation coefficientsare （r=0.272，P=0.00）、（r=0.209，P=0.00）、（r=0.255，P=0.00）;HDL-C is negativelycorrelated with WC、WHtR correlation coefficients are (r=﹣0.126，P=0.04）、（r=﹣0.125，P=0.04）. Logistic regression analysis shows: overweight、 obesity、 abnormalglucose metabolism、high uric acid、age (OR between1.02-4.83) are the risk factors ofdyslipidemia and female (regression coefficient <0, OR=0.58) is the protection factor ofdyslipidemia.6.Through ROC curve analysis, WHR, WHtR can better predict dyslipidemia. In male,when dyslipidemia, the areas of BMI, WC, WHR, WHtR under the curve are0.694、0.743、0.757、0.667, the area of WHR under the curve is maximum0.757,95%CI is0.722-0.793. When high LDL, the areas of BMI, WC, WHR, WHtR under the curve are0.584、0.636、0.646、0.581, the area of WHR under the curve is maximum0.646,95%CIis0.575-0.717. When low HDL the area of BMI, WC, WHR, WHtR under the curve are0.580、0.608、0.623、0.541, the area of WHR under the curve is maximum0.623，95%CIis0.529-0.717. In female, when high TG the area of BMI, WC, WHR, WHtR under thecurve are0.470、0.417、0.352、0.501, the area of WHtR under the curve is maximum0.501，95%CI is0.332-0.671. When high LDL the area of BMI, WC, WHR, WHtR underthe curve are0.605、0.472、0.427、0.622, the area of WHtR under the curve is maximum0.622，95%CI is0.437-0.808.Conclusion1、The prevalence of dyslipidemia of workers in Ganguyi oil production plant ofYanchang Oilfield is high and higher than the average of national and the local region.2、The prevalence of dyslipidemia increased with age and dyslipidemia at a high riskof in40-60years old. 3、The prevelences of dyslipidemia are higher in abnormal glucose metabolism,hypertension, hyperuricemia and dyslipidemia population of overweight and obesitygroups.4、WHtR、WHR can better predicte dyslipidemia.