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北部某醫學中心醫療從業人員肝功能和代謝症候群關聯性之研究探討

Correlation between Alanine Aminotransferase and Metabolic Syndrome of Hospital Employees at a Medical Center in Northern Taiwan

摘要


目的:代謝症候群是職場上一個很重要的議題。它可能延伸出一系列的慢性疾病如糖尿病及心血管疾病,進而影響職員在工作上的效率及表現。近年來有不少研究證實麩胺酸丙酮酸轉氨基酵素(alanine aminotransferase)ALT與代謝症候群相關。本研究分析北部某醫學中心的員工體檢資料,探討醫療從業人員血液中ALT與代謝症候群的相關性。方法:此研究為一個橫斷性研究,分析台灣北部某醫學中心員工體檢資料,以ALT大於36 U/L作為肝功能異常的切點。以獨立樣本T 檢定(independent-samples T test)及卡方檢定(chi-square test)分別分析兩組間之所有連續變項及類別變項的差異性。再用邏輯斯迴歸分析(logistic regression analysis)來分析各危險因子與代謝症候群的相關性。結果:本研究一共收錄了9202人,平均年齡41.94歲。ALT偏高與ALT正常兩組之間的年齡、血壓、腰圍、身體質量指數、ALT、空腹血糖、低密度膽固醇、高密度膽固醇、三酸甘油脂及總膽固醇都呈現出統計上的顯著差異。進一步迴歸分析發現ALT、年齡、收縮壓、空腹血糖及身體質量指數與代謝症候群風險有關。結論:本研究證實ALT異常與代謝症候群有顯著的相關性,在醫療從業人員體檢報告判讀時應把ALT也納入詳細評估,提早發現異常並進行相關的衛教指導。

並列摘要


Background and purpose: Metabolic syndrome is an important topic in occupational medicine. It may lead to a series of chronic diseases such as diabetes mellitus and cardiovascular diseases, which in turn may affect the productivity and performance of staff at work. In recent years, a number of studies have confirmed the association between alanine aminotransferase(ALT) and metabolic syndrome. In this study, we analyzed the data from a medical center in northern Taiwan to investigate the correlation between ALT and other risk factors and metabolic syndrome. Methods: This is a cross-sectional study that analyzed the data from the physical examination of the staff of a medical center in northern Taiwan, and ALT greater than 36 U/L was used as the cut-off point of liver function abnormality. The independent-samples T test and chi-square test were used to analyze all the continuous and categorical variables between the two groups. Logistic regression analysis was used to analyze the correlation between risk factors and metabolic syndrome. Results: A total of 9202 individuals with a mean age of 41.94 years were enrolled in this study, and statistically significant differences were found between the high and normal ALT groups in terms of age, blood pressure, waist circumference, body mass index (BMI), ALT, fasting blood glucose, low-density cholesterol, high-density cholesterol, triglycerides, and total cholesterol. Further regression analysis revealed that ALT, age, systolic blood pressure, fasting blood glucose and BMI were associated with the risk of metabolic syndrome. Conclusion: This study confirms that there is a significant correlation between ALT abnormality and metabolic syndrome, and that ALT should be included in the evaluation of physical examination reports for early detection and subsequent health education.

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