일개 철강 사업장에서 대사증후군의 위험요인과 γ -GTP와의 관련성
DC Field | Value | Language |
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dc.contributor.author | 문제혁 | - |
dc.contributor.author | 이상준 | - |
dc.contributor.author | 박정덕 | - |
dc.date.available | 2019-07-24T03:56:06Z | - |
dc.date.issued | 2007-03 | - |
dc.identifier.issn | 1225-3618 | - |
dc.identifier.issn | 2052-4374 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/30194 | - |
dc.description.abstract | 목적: 대사증후군은 심혈관계 질환의 이환과 이로 인한사망률을 증가시키는 것으로 알려져 있으며, 비만, 고 중성지방혈증, 저 HDL- 콜레스테롤혈증, 고혈압, 공복 시고혈당 등에서 3개 항목 이상을 만족한 경우로 정의된다.간기능 검사 중 -GTP는 간세포 손상에 대한 생체지표로 흔 히 사 용 되 는 검 사 이 며 , 고 혈 압 , 제 2 형 당 뇨 및 뇌졸중과도 관련이 있음이 밝혀져 있다. 이번 연구에서는일개 철강 사업장내 근로자들의 대사증후군의 유병률과위험요인 및 대사증후군과 -GTP와의 관련성을 알아보았다.방법: 수도권 소재 일개 철강 사업장 남자 근로자1,604명을 대상으로 대사증후군의 구성요소(체질량지수,중성지방, HDL-콜레스테롤, 수축기와 이완기 혈압, 공복 시 혈당)와 -GTP, 교대근무 여부, 음주력, 흡연력,운동 여부 및 가족병력 등을 조사하여 분석하였다. 결과: 일개 철강 사업장 근로자에 있어서 대사증후군의유병률은 21.3%, 연령 보정 유병률은 15.5%이었다. 대사증후군에 영향을 미치는 역학적 요인은 연령(OR:1.063, 95% CI: 1.033-1.094), 음주(OR: 1.657, 95% CI: 1.175-2.337) 및 흡연(OR: 1.359, 95% CI:1.017-1.816) 등 이었고 , 교대근무는 고혈압(OR:1.329, 95% CI: 1.038-1.700)에만 영향을 주었다. 고-GTP 혈증군에서 대사증후군의 구성인자인 비만, 고문제혁 등일개 철강 사업장에서 대사증후군의 위험요인과 -GTP와의 관련성중성지방혈증, 고혈압 및 공복시 고혈당의 위험도는 각각2.625, 3.384, 1.887, 2.406이었고, 대사증후군의 위험도는 3.345이었다. | - |
dc.description.abstract | Objectives: This study was performed to estimate the prevalence and possible risk factors of the metabolic syndrome in steel-mill workers, and to evaluate the relation between -glutamyltransferase ( - GTP) and the metabolic syndrome. Methods: The study subjects comprised 1,604 male steel-mill workers. The indices of metabolic syndrome, such as BMI, triglyceride, HDL-cholesterol, blood pressure, fasting glucose, and -GTP were analyzed in each subject. We collected information about demographic characteristics, behavioral patterns, such as alcohol drinking, smoking, and exercise, and family medical history through a self-administered questionnaire. Statistical analysis was done by using the chi-square test, Mantel-Haenszel trend test and logistic regression model. Results: The crude and age-adjusted prevalences of the metabolic syndrome were 21.3% and 15.5%, respectively, in the steel-mill workers. Age (OR: 1.063, 95% CI: 1.033-1.094), alcohol drinking (OR: 1.657, 95% CI: 1.175-2.337) and smoking (OR: 1.359, 95% CI: 1.017-1.816) were risk factors for the metabolic syndrome. Meanwhile, shift work showed a significant relation with hypertension (OR: 1.329, 95% CI: 1.038-1.700), but not with other metabolic syndrome components. However, tenure, exercise and family medical history were not significant factors for the metabolic syndrome in this study. The risk ratio of the metabolic syndrome (OR: 3.345, 95 % CI: 2.534-4.416) and its components, such as obesity, hypertriglyceridemia, hypertension and hyperglycemia, were higher in the high -GTP group (≥63 IU/ ιℓ) than in the controls (<63 IU/ℓ). Conclusions: These results confirm the need for health education to control the metabolic syndrome by improving behavioral patterns, such as alcohol drinking and smoking, in factory workers. In addition, it is suggested that -GTP might be a useful candidate in screening for the metabolic syndrome. | - |
dc.format.extent | 9 | - |
dc.publisher | 대한직업환경의학회 | - |
dc.title | 일개 철강 사업장에서 대사증후군의 위험요인과 γ -GTP와의 관련성 | - |
dc.title.alternative | The Risk Factors of Metabolic Syndrome and its Relation with γ-GTP in Steel-mill Workers | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | Annals of Occupational and Environmental Medicine, v.19, no.1, pp 17 - 25 | - |
dc.identifier.kciid | ART001063327 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 25 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 17 | - |
dc.citation.title | Annals of Occupational and Environmental Medicine | - |
dc.citation.volume | 19 | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01156328 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Metabolic syndrome | - |
dc.subject.keywordAuthor | Steel-mill workers | - |
dc.subject.keywordAuthor | Risk factor | - |
dc.subject.keywordAuthor | γ -GTP | - |
dc.description.journalRegisteredClass | kci | - |
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