目的：心血管相關疾病是十大死因的前三名，為威脅國人健康的重要疾病，而高敏感性C-反應蛋白對心血管疾病有相當好的預測能力。目前不同職業類別因其工作型態的差異對心血管疾病風險的影響，其結論尚未一致。故本研究的目的為探討北台灣某社區居民其工作勞動情形和高敏感性C-反應蛋白的關係，進而預測未來罹患心血管疾病的風險。

方法：本研究為前瞻性、橫斷性，以北部某社區中高年紀的居民為收錄對象，由職業屬性的勞動疲累程度分為靜態不動、靜態勞動以及動態勞動共三組，進行高敏感性C-反應蛋白和勞動疲累程度之相關分析與探討。最後利用多變項羅吉式迴歸分析來分析靜態不動、靜態勞動這兩組的危險因子。

結果：397位的中高年社區民眾，年齡的中位數為64.5歲。在生化指標中，發現高敏感 性C-反應蛋白在靜態不動和靜態勞動兩組間有差異，進一步校正年紀和性別後，高敏感性 C-反應蛋白其勝算比(odds ratio)為0.876, 95% CI=0.774-0.992, P= 0.036；ROC曲線下面積為 0.605, 95% CI= 0.538-0.673, P= 0.004.

結論：靜態不動工作者的高敏感性C-反應蛋白血清濃度值較靜態勞動工作者為高，顯示靜態不動工作者有較高的罹患心血管疾病風險，應針對高風險族群做更積極的預防措施，以利預防其日後心血管疾病的發生。

Background and purpose：Cardiovascular disease is the second leading cause of death in Taiwan. There is mounting evidence for associations between sedentary behaviors and cardiovascular disease. However, studies on occupational sitting and health risks showed inconsistent or conflicting results. High sensitivity C-reactive protein (hsCRP) is known recognized an excellent biomarker for the prediction of cardiovascular disease.Thus, the purposes of thisstudy is to explore the relationship between sedentary occupation and hsCRPin the community of northern Taiwan and further predict the risk of future cardiovascular events.

Methods：We analyzed the cross-sectional data of 397middle-aged, and elderly participants from the 2012–2013 in northern Taiwan, and excluded the subjects with a history of cardiovascular disease.The enrolled participants were divided into three groups including static not dynamic, static work, and dynamic laboraccording to the subjective extent of energy expenditure during occupational activity. Receiver-operating characteristic (ROC) analysis were performed for the diagnostic performance of the hsCRP. Finally, we conducted the multivariable logistic regression model between static not dynamic and static work two groups for the prediction of risk factors.

Results：In total 397 participants,the median age was 64.5-year-old. Among the past medical history, the hypertension, Type 2 diabetes mellitus (DM) and dyslipidemia were the most prevalent abnormalities. No significant difference existed in the prevalence of the above diseases among three groups except for Type 2 DM between static workand dynamic laborgroups. Multivariable logistic regression analysis showed the median hsCRP serum level was an independent predictive factor after adjusting for age and sex. The odds ratio was 0.876 (95% CI=0.774-0.992, P= 0.036). The area under curve (AUC) for hsCRP was 0.605. (95% CI= 0.538-0.673, P= 0.004)

Conclusion：Our findings showed that the occupations with the lowest energy expenditure hadhigher hsCRPserum level more than other groups and conferring with higher risk of future cardiovascular events. Thus, aggressive preventive strategies are indicated for the high risk individuals.