Yovita Puri Subardjo, F. C. Agustia, Dika Betaditya, G. R. Ramadhan, Noor Cherinawati
{"title":"高校职工代谢综合征患病率及其与人体测量参数的关系","authors":"Yovita Puri Subardjo, F. C. Agustia, Dika Betaditya, G. R. Ramadhan, Noor Cherinawati","doi":"10.36295/ASRO.2021.24331","DOIUrl":null,"url":null,"abstract":"Background: Metabolic syndrome parameters can predict the development of metabolic diseases, such as diabetes mellitus type 2 and cardiovascular diseases. Workers have a higher risk of suffering from the metabolic syndrome due to their less physical activities as well as high carbohydrate and fat consumptions. For routine health control, the metabolic syndrome diagnoses are known less practical and more costly than the anthropometric measurements . Objectives: This study aims at obtaining the prevalence of metabolic syndrome among workers and finding the most related anthropometric parameter to metabolic syndrome. Methods: 80 research subjects were collected to participate in a cross -sectional study measured us ing the anthropometric parameters and metabolic syndrome components to obtain the relationship of anthropometric parameters with metabolic syndrome components using the Pearson-Spearman analysis as well as the multivariate analysis. Results: The results showed that the prevalence of metabolic syndrome among workers was 31.25%. The increasing anthropometric variable values also indicate the increasing metabolic syndrome components as follows: waist -to-hip ratio to triglyceride level; abdominal circumference to blood pressure; body mass index to triglyceride level and abdominal circumference; body fat percentage to abdominal circumference and fasting blood sugar. The interaction between body fat percentage and mid-upper arm circumference increased the triglyceride level by 13%. The interaction between waist-to-hip ratio and body mass index increased the abdominal circumference by 81%. Conclusions: The increasing anthropometric parameters can be used to assess the increasing value of metabolic syndrome components.","PeriodicalId":7958,"journal":{"name":"Annals of Tropical Medicine and Public Health","volume":"63 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Prevalence of Metabolic Syndrome among University Workers and Its Relationship with The Anthropometric Parameters\",\"authors\":\"Yovita Puri Subardjo, F. C. Agustia, Dika Betaditya, G. R. Ramadhan, Noor Cherinawati\",\"doi\":\"10.36295/ASRO.2021.24331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Metabolic syndrome parameters can predict the development of metabolic diseases, such as diabetes mellitus type 2 and cardiovascular diseases. Workers have a higher risk of suffering from the metabolic syndrome due to their less physical activities as well as high carbohydrate and fat consumptions. For routine health control, the metabolic syndrome diagnoses are known less practical and more costly than the anthropometric measurements . Objectives: This study aims at obtaining the prevalence of metabolic syndrome among workers and finding the most related anthropometric parameter to metabolic syndrome. Methods: 80 research subjects were collected to participate in a cross -sectional study measured us ing the anthropometric parameters and metabolic syndrome components to obtain the relationship of anthropometric parameters with metabolic syndrome components using the Pearson-Spearman analysis as well as the multivariate analysis. Results: The results showed that the prevalence of metabolic syndrome among workers was 31.25%. The increasing anthropometric variable values also indicate the increasing metabolic syndrome components as follows: waist -to-hip ratio to triglyceride level; abdominal circumference to blood pressure; body mass index to triglyceride level and abdominal circumference; body fat percentage to abdominal circumference and fasting blood sugar. The interaction between body fat percentage and mid-upper arm circumference increased the triglyceride level by 13%. The interaction between waist-to-hip ratio and body mass index increased the abdominal circumference by 81%. Conclusions: The increasing anthropometric parameters can be used to assess the increasing value of metabolic syndrome components.\",\"PeriodicalId\":7958,\"journal\":{\"name\":\"Annals of Tropical Medicine and Public Health\",\"volume\":\"63 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Tropical Medicine and Public Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36295/ASRO.2021.24331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Tropical Medicine and Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36295/ASRO.2021.24331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Prevalence of Metabolic Syndrome among University Workers and Its Relationship with The Anthropometric Parameters
Background: Metabolic syndrome parameters can predict the development of metabolic diseases, such as diabetes mellitus type 2 and cardiovascular diseases. Workers have a higher risk of suffering from the metabolic syndrome due to their less physical activities as well as high carbohydrate and fat consumptions. For routine health control, the metabolic syndrome diagnoses are known less practical and more costly than the anthropometric measurements . Objectives: This study aims at obtaining the prevalence of metabolic syndrome among workers and finding the most related anthropometric parameter to metabolic syndrome. Methods: 80 research subjects were collected to participate in a cross -sectional study measured us ing the anthropometric parameters and metabolic syndrome components to obtain the relationship of anthropometric parameters with metabolic syndrome components using the Pearson-Spearman analysis as well as the multivariate analysis. Results: The results showed that the prevalence of metabolic syndrome among workers was 31.25%. The increasing anthropometric variable values also indicate the increasing metabolic syndrome components as follows: waist -to-hip ratio to triglyceride level; abdominal circumference to blood pressure; body mass index to triglyceride level and abdominal circumference; body fat percentage to abdominal circumference and fasting blood sugar. The interaction between body fat percentage and mid-upper arm circumference increased the triglyceride level by 13%. The interaction between waist-to-hip ratio and body mass index increased the abdominal circumference by 81%. Conclusions: The increasing anthropometric parameters can be used to assess the increasing value of metabolic syndrome components.