目的：代謝症候群是全球一個常見且重要的公共衛生議題，許多研究也顯示代謝症候群是一發炎反應。本研究的目的為探討北台灣某醫院其醫療從業人員白血球計數與代謝症候群之關聯性，進而早期發現危險因子而從中減少醫療從業人員代謝症候群和心血管疾病的發生。
方法：本研究為回顧性、橫斷性，以北部某醫院的醫療從業人員為收錄對象，依照白血球計數的數值平均分為三等份，分為偏低、中間與偏高三組，進行白血球計數和代謝症候群之相關分析與探討。以皮爾森相關分析白血球計數與生化檢驗數值及代謝症候群指標的相關程度。再使用單變項與多變項羅吉斯迴歸分析白血球計數對於代謝症候群之勝算比。最後，利用ROC曲線求得白血球計數用於預測代謝症候群風險的最佳切點。
結果：1312位的醫療從業人員，年齡的中位數為42.39歲。分析結果發現代謝症候群在白血球計數偏高這組中有較高的盛行率，根據皮爾森相關分析，血壓、腰圍、空腹血糖、總膽固醇、三酸甘油脂、低密度脂蛋白膽固醇、尿酸與白血球計數均呈現顯著正相關且達統計上顯著意義(p<0.001)；進一步校正年紀、性別、腰圍、高血壓、高血脂和糖尿病後，多變項羅吉斯迴歸分析仍顯示白血球計數和代謝症候群有相關性，其勝算比(odds ratio)為1.93, 95% CI 1.08-3.48, p=0.03；ROC曲線下面積為0.683, 95% CI= 0.646-0.721, p<0.001。當白血球計數為6.85(1000/uL)可作為預測代謝症候群風險的最佳切點(敏感度: 66.8%, 特異度:63.2%)。
結論：本研究顯示白血球計數是代謝症候群的獨立危險因子。對於有較高白血球計數且合併有其他危險因子的員工，應及早介入生活型態調整和衛教，以利預防其日後代謝症候群和心血管疾病的發生。

Background and purpose：Metabolic syndrome is a common and important issue in public health all over the world. Many studies suggest that metabolic syndrome is also a prolong inflammatory process. Our study is designed to evaluate the relationship between white blood cell (WBC) count and metabolic syndrome among health-care employees in a hospital of Northern Taiwan.
Methods：A total of 1312 employees of a local hospital in Taoyuan City, Taiwan (501 men and 811 women, aged 25 to 68 years) were included in the study. All subjects are divided into three groups based on WBC count and labelled as “low”, “middle” and “high”. We compare each group and evaluate the basic physical condition, lab data and underlying disease using one-way ANOVA, Chi-squared test, Pearson’s correlation, multivariate logistic regression and receiver operating characteristic (ROC) curves.
Results：We notice a significant increase in metabolic syndrome prevalence in high WBC count group (p<0.001) by one-way ANOVA. According to Pearson’s correlation test, a strong association between cardio-metabolic risk factors (BP, WC, sugar, TC, TG, LDL and uric acid) and WBC count are also observed with p value all <0.001. When we adjust for age, sex, DM, hypertension, hyperlipidemia and WC, multivariate logistic regression show WBC count is highly correlation with metabolic syndrome. (OR 1.93, 95% CI 1.08-3.48, p=0.03) The ROC curved is drawn with area under curve (AUC) 0.683. (95% CI= 0.646-0.721, p<0.001). The cut-off point is set at 6.85 with sensitivity 0.668 and specificity 0.632.
Conclusion：Our findings showed that WBC count is an independent risk factor for metabolic syndrome. Individuals whom has high WBC count combined with other risk factors of metabolic syndrome needs strictly control lifestyle and body weight.