{"title":"The Association of Metabolic Syndrome Components with Anthropometric Measurements","authors":"Cagla Ozdemir, C. Aypak, S. Gorpelioglu","doi":"10.33880/ejfm.2021100204","DOIUrl":null,"url":null,"abstract":"Aim: This study aims to research the association of metabolic syndrome components with anthropometric measurements like arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio, which are applied rarely. Methods: This cross-sectional study was conducted with 292 patients in November-December 2019. The arm circumference, neck circumference, waist circumference, hip circumference, waist-hip ratio, waist-to-height ratio, and body mass index measurements of the patients were made. Glucose, high-density lipoprotein, low-density lipoprotein, systolic, and diastolic blood pressure measurements were also recorded. The association between metabolic syndrome components and anthropometric measurements was analyzed. Results: Metabolic syndrome is diagnosed in 32.8% of the participants. According to body mass index, 18.6% of the patients were normal, 34.2% were overweight, and 47.2% were obese. There was a significant difference between the patients with and without metabolic syndrome in terms of laboratory parameters, blood pressure values, and anthropometric measurements. In the diagnosis of metabolic syndrome, optimal cut-off values for arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio were determined as 31.75 (AUC=0.703), 34.85 (AUC=0.763), 113.75 (AUC=0.757), 0.90 (AUC=0.701), 0.61 (AUC=0.769) for females while they were 35.75 (AUC=0.573), 39.75 (AUC=0.795), 111.5 (AUC=0.607), 0.96 (AUC=0.888), 0.61 (AUC=0.888) for males respectively. Conclusion: A significant correlation was detected between arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio, and metabolic syndrome components. However, low-density lipoprotein was not correlated with neck circumference and high-density lipoprotein with waist-to-height ratio. Keywords: metabolic syndrome, anthropometric measurement, body mass index, obesity, lipid profile","PeriodicalId":436322,"journal":{"name":"Eurasian Journal of Family Medicine","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasian Journal of Family Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33880/ejfm.2021100204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: This study aims to research the association of metabolic syndrome components with anthropometric measurements like arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio, which are applied rarely. Methods: This cross-sectional study was conducted with 292 patients in November-December 2019. The arm circumference, neck circumference, waist circumference, hip circumference, waist-hip ratio, waist-to-height ratio, and body mass index measurements of the patients were made. Glucose, high-density lipoprotein, low-density lipoprotein, systolic, and diastolic blood pressure measurements were also recorded. The association between metabolic syndrome components and anthropometric measurements was analyzed. Results: Metabolic syndrome is diagnosed in 32.8% of the participants. According to body mass index, 18.6% of the patients were normal, 34.2% were overweight, and 47.2% were obese. There was a significant difference between the patients with and without metabolic syndrome in terms of laboratory parameters, blood pressure values, and anthropometric measurements. In the diagnosis of metabolic syndrome, optimal cut-off values for arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio were determined as 31.75 (AUC=0.703), 34.85 (AUC=0.763), 113.75 (AUC=0.757), 0.90 (AUC=0.701), 0.61 (AUC=0.769) for females while they were 35.75 (AUC=0.573), 39.75 (AUC=0.795), 111.5 (AUC=0.607), 0.96 (AUC=0.888), 0.61 (AUC=0.888) for males respectively. Conclusion: A significant correlation was detected between arm circumference, neck circumference, hip circumference, waist-hip ratio, and waist-to-height ratio, and metabolic syndrome components. However, low-density lipoprotein was not correlated with neck circumference and high-density lipoprotein with waist-to-height ratio. Keywords: metabolic syndrome, anthropometric measurement, body mass index, obesity, lipid profile