A Cross-sectional Study Designed To Investigate The Association Between Different Obesity Indicators,Sleep Quality And Metabolic Syndrome In Rural Residents

Objective: Due to the high incidence and serious complications of metabolic syndrome(MetS),early identification and control of modified risk factors is an important method to prevent the development and progression of MetS into cardiovascular disease.Sleep quality and obesity are considered to be important factors affecting MetS,but epidemiological evidence on sleep quality,different obesity indicators and their interaction with MetS is scarce.Therefore,this study adopted a cross-sectional study to obtain sleep quality,obesity,MetS prevalence and epidemiological characteristics in a city,further clarify the relationship between obesity,sleep and MetS,and evaluate appropriate and highly correlated obesity indicators,especially those that can evaluate the level of visceral fat.To study the influence of the interaction between obesity and sleep quality on MetS,and to provide suggestions for the prevention of the development and progress of MetS and for the early identification and control of improved risk factors of cardiovascular diseases.Methods: In this study,a cross-sectional study design was adopted,and stratified and random cluster sampling method was adopted to select research subjects from a rural area of a city in Liaoning Province from June to August 2019.A total of 4,774 subjects were completed in the baseline survey and 4,774 standard questionnaires were distributed,of which 4,695 were completed in the questionnaire survey,and the effective questionnaire recovery rate was 98.35%.Obesity,sleep quality and MetS exposure factors of subjects were obtained by questionnaire and physical examination.Sleep quality was evaluated by the Pittsburgh Sleep Quality Index,sleep quality of the subjects,physical examination of the subjects to obtain the height,weight,waist circumference,blood pressure data,through the collection of biological blood samples of the subjects and measurement of fasting blood glucose,triglyceride,high-density cholesterol lipoprotein and other indicators of the subjects.Multivariate Logistic regression analysis was used to analyze the association between obesity,sleep,and Mets.Results: In this study,a total of 3937 subjects were finally included in the study.Eight obesity indicators including BMI,WHTR,WHR,LAP,CMI,BAI,VAI and CVAI were calculated.According to BMI,WHTR and WHR,the prevalence of obesity in the study population was 56.44%,66.88% and 60.93%,respectively.In this study,the average PSQI score of the subjects was 5.57(3.47),and the total prevalence of sleep disorders was 24.56%,18.99% for men and 27.66% for women.The prevalence of sleep disorders was different between different sexes(P<0.001).The total prevalence of MetS in the study subjects was 30.02%,28.45% for men and 30.90% for women,and there was no difference in the prevalence of sleep disorders between different genders(P=0.108).Traditional obesity indexes such as BMI,WHTR and WHR were grouped according to the existing grouping principles,while other obesity indexes such as LAP,CMI,BAI,VAI and CVAI were grouped according to the trisqule.The risk of MetS increased sharply for all people with obesity indexes greater than the smallest group.The different obesity indexes BMI,WHTR,WHR,LAP,CMI,BAI,VAI,CVAI were standardized,and then the MetS were taken as the dependent variable and each obesity index as the independent variable.Multivariate Logistic regression analysis was performed.The OR values of BMI,WHTR,WHR,LAP,CMI,BAI,VAI and CVAI were 3.32(3.01,3.66),4.02(3.61,4.48),3.13(2.84,3.45),12.78(10.78,15.15),14.93(12.43,17.92),2.44(2.22,2.69),1.39(1.29,1.49)and 1.81(1.68,1.96),respectively.Tendency test P<0.001.In the MetS stratified analysis of different obesity indicators and research objects,different obesity indicators were grouped according to gender and age,and multivariate Logistic regression analysis was conducted.Finally,it was concluded that all obesity indicators were independent of the above exposure factors,and all obesity indicators were risk factors for MetS of the study subjects.Conclusions: As the growth of the age,respectively with waist circumference,BMI,WHtR,WHR as obesity group,obesity rates are the general population continues to grow,but in the 65-year-old crowd,or higher obesity rate declines in the general population,this trend are almost consistent in men and women in the crowd,other parts of the prevalence of overweight and obesity is on the high side.The prevalence of sleep disorders in the population is low,and the prevalence of MetS in different age groups is different and higher than that in other regions.BMI,WHTR,WHR,LAP,CMI,BAI,VAI and CVAI all increased the risk of MetS.No association between sleep disorders and MetS was observed overall,but when the lowest score was used as a reference in the nighttime sleep disorder dimension score,a sleep disorder score of 2 was associated with the greatest increased risk of MetS and was statistically significant.Although there is no correlation between the interaction between overweight and obesity defined by different obesity indicators and sleep disorders and the risk of MetS disease,it is still of great research significance for the prevention and control of diseases.However,further epidemiological investigations are needed in the future to explore the relationship between the interaction between the two and MetS,as well as their role in the pathogenesis of MetS.