Association Between Low Carbon Diet Score And Dyslipidemia In Middle-aged People In Yaohai District Of Hefei City

Objective:In this study,we investigated the population aged 40-60 in Hefei,Anhui Province,China,and obtained the three macro nutrient intakes of the subjects,and detected the TG,TC,LDL-C and HDL-C.Objective to explore the relationship between carbohydrate intake and the risk of dyslipidemia,and to provide new suggestions for the prevention and treatment of dyslipidemia in China.Methods:From November 2020 to January 2021,the residents of one community in Hefei were investigated,and 705 people were included in the study.A face-to-face survey was conducted by trained investigators.The survey included general social demographic characteristics,lifestyle and history of disease.A Semi quantitative food frequency questionnaire was used to investigate the diet of participants and calculate the LCD scores.Chi square test and t-test were used to analyze the differences in the basic situation of the population;chi square test and analysis of variance were used to analyze the differences in the characteristics of participants in different LCD score groups;logistic regression was used to explore the relationship between LCD scores and the risk of different types of dyslipidemia.Results:A total of 705 subjects were included in this study,with an average age of 48.6±5.2 years.There were 488 males,accounting for 69.2%.The average BMI level was24.11±2.98 kg/m~2.The median of TG was 1.28(0.90,1.98)mmol/L.The average levels of TC,HDL-C and LDL-C were 4.89±0.91mmol/L,1.3±0.30mmol/L and2.75±0.73mmol/L respectively.Logistic regression was used to analyze the correlation between LCD score and the risk of dyslipidemia and the results have no significance.The animal-LCD score was divided into three groups according to the third quartile,and included in the logistic regression to analyze the association with the risk of dyslipidemia.After adjusting for gender and age(model 1),the risk of dyslipidemia in the highest triad was 1.51 times higher than that in the lowest triad(95%CI:1.00-2.28).After further adjustment of general demographic characteristics(model 2)and lifestyle and disease history(model 3),the association was not significant.In addition,no statistical correlation was found between the plant-LCD score and dyslipidemia.Logistic regression was used to analyze the association between LCD score and the risk of low HDL-C.After adjusting for gender and age(model 1),the risk of low HDL-C in the highest triad was 1.95 times higher than that in the lowest triad(95%CI:1.04-3.69).After further adjusting for general demographic characteristics(model 2),the risk of low HDL-C in the highest triad was 2.01 times higher than that in the lowest triad(95%CI:1.07-4.05).After adjusting for lifestyle and disease history(model 3),the risk of low HDL-C in the highest third was 2.06(1.03-4.12)compared with the lowest third.Logistic regression was used to analyze the correlation between the two other LCD scores and low HDL-C,the results were not statistically significant.Logistic regression was used to analyze the correlation between LCD score and the risk of high TC and high LDL-C,there was no statistical significance.Conclusion:Higher low-carbohydrate diet score is associated with the risk of low HDL-C.