The Prevalence of Metabolic Syndrome among University Workers and Its Relationship with The Anthropometric Parameters

Yovita Puri Subardjo, F. C. Agustia, Dika Betaditya, G. R. Ramadhan, Noor Cherinawati
{"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":null,"pages":null},"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}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
高校职工代谢综合征患病率及其与人体测量参数的关系
背景:代谢综合征参数可以预测代谢性疾病的发展,如2型糖尿病和心血管疾病。由于体力活动少,碳水化合物和脂肪摄入高,工人患代谢综合征的风险更高。对于常规的健康控制,代谢综合征的诊断比人体测量测量更不实用,更昂贵。目的:了解工人代谢综合征的患病率,寻找与代谢综合征最相关的人体测量参数。方法:收集80名研究对象,采用横断面研究,测量人体测量参数和代谢综合征成分,采用Pearson-Spearman分析和多变量分析,获得人体测量参数与代谢综合征成分的关系。结果:工人代谢综合征患病率为31.25%。人体测量变量值的增加也表明代谢综合征成分的增加,如下:腰臀比与甘油三酯水平;腹围与血压;身体质量指数与甘油三酯水平和腹部围;体脂比腹围和空腹血糖。体脂率和中上臂围之间的相互作用使甘油三酯水平增加了13%。腰臀比和身体质量指数之间的相互作用使腹围增加了81%。结论:增加的人体测量参数可以用来评估代谢综合征成分的增加值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
IMPACT OF COVID 19 ON MANUFACTURING INDUSTRIES IN INDIA Knowledge of mothers towards National Immunization Program in Baquba City, Iraq Practice and knowledge about breast self -examination among female students in College of Medicine, University of Baghdad: A Descriptive cross-sectional study Cervical cytological abnormalities among attendants to cancer early detection clinic in Baghdad, Iraq ROLE OF PRO BRAIN NATRIURETIC PEPTIDE LEVEL TO PREDICT MORBIDLY ADHERENT PLACENTA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1