本研究目的為探討接受PCI患者於接受治療後健康生活型態（抽菸、飲酒、運動、飲食、壓力處理及服藥遵從行為）現況及其相關的影響因素。採橫斷式相關性研究，自民國92年10月至92年12月，以便利取樣方式於台南市某所醫學中心，邀請63位3-18個月前初次接受PCI治療患者參與研究，藉由結構式問卷訪談收集資料，並以SPSS 10.0統計軟體進行描述性及推論性統計資料分析。
結果顯示患者之抽菸、飲酒及規律運動所佔比率分別為17.5 %、15.9 %及61.9 %。僅3人反而加重抽菸量，10人持續原本之飲酒習慣，但僅5人每次飲酒酒精量超過30公克。平均運動量為12.78 METs（SD = 13.26），性別及社會支持程度為規律運動之預測變項，男性執行規律運動為女性之 8.42倍；而社會支持程度高者執行規律運動為低者之1.11倍。患者飲食行為的單項總平均為3.84（SD = 1.07），代表飲食行為執行傾向經常如此做，教育及社會支持程度為飲食的預測變項，共可解釋32 %的變異量。壓力處理行為的單項總平均得分為3.09（SD = 1.23）分，代表壓力處理執行傾向有時如此做，心臟病家族史及社會支持程度為壓力處理之預測變項，共可解釋43 %的變異量。服藥遵從行為單項總平均得分為4.63（SD = 0.88）分，表示大部分患者在此項行為上偏向遵從，其與職業( p＜.05 )有顯著差異，與年齡(Spearman’s r = .27, p＜.05 ) 有顯著相關。
研究結果顯示針對本研究之冠心症患者，整體而言宜再加強運動與壓力處理之指導。針對少數抽菸行為無法改進者，極可能併有疾病與社會資源等特殊需求，宜與關注。服藥遵從行為雖傾極高之遵從度，但因個案對藥效與副作用之不解，所引發長期服藥過程中可能出現的中斷危機，需進一步評估探討。由於每項行為，其相關影響因素皆不單純，且極具個別性，故針對需進行PCI治療之患者，未來實需建立一套系統性之衛教計劃，並由專科護理師或專門個案管理人員，執行整體性之照護與追蹤，以確保PCI之醫療成效。

The purpose of the study was to investigate the healthy lifestyle (smoking, drinking, exercising, eating, stress managing, and medication taking habits) and its related factors among patients with the coronary artery disease (CAD ) receiving percutaneous coronary intervention ( PCI ). Cross sectional correlational design was used in this study. Convenient sampling had been conducted to recruit 63 subjects who have received an initial PCI 3 to 18 months ago from one of the medical center at Tainan from October to December, 2003. Structured questionnaires and face to face interview had been used to collect the data. By using SPSS/PC software version 10.0, both descriptive and inferential statistics were applied to analyze the data.
The results showed that the percentage of subjects’ smoking, drinking, and regular exercising were 17.5 %, 15.9 %, and 61.9 %, respectively. Only 3 persons increased tobacco. There were10 persons maintained the drinking habit after PCI, yet only 5 persons drink more than 30 gm of alcohol per time. The average exercise intensity was 12.78 METs ( SD = 13.26 ). The result of the analysis of logistic regression indicated that the predicting factors of regular exercise were gender and social support, and the odds ratios were 10.8 and 1.11, respectively. The averaged score of dietary behaviors was 3.84 ( SD = 1.07 ). Based on the analysis of multiple regression, the results showed that education and social support were the predictors of dietary behaviors. These two factors accounted for 32 % of the variation in dietary behaviors. The average score of stress management was 3.09 ( SD = 1.23 ). The results of multiple regression analysis indicated that family history of heart diseases and social support were the two significant predictors of stress management behaviors. These two factors accounted for 43 % of the variation in stress management. The average score of medication taking behaviors was 4.63 ( SD = 0.88 ), means subjects had high level of compliance in medication taking behaviors. Medication taking was significant difference to occupation ( p＜.05 ) and positively related to age (Spearman’s r = .27, p＜.05 ).
The findings of this study suggest that the subjects need more instructions in regular exercise and stress management. For those subjects who didn’t improve their smoking behavior need more considerations in their deterioration of physical condition and lack of social support. Although the patients showed highly compliance in their medication taking behaviors, we can’t neglect the possible long-term episodes of incompliance behaviors because of patients’ ignorance of the purposes and the side effects of their medications. Finally, because each healthy behavior investigated in this study have been revealed to have multiple influencing factors, in clinics, we do need to establish a comprehensive education program for them. Furthermore, a clinical nursing specialist or a case manger will be needed to fulfill the individualized and continuous needs of the patients under PCI. Then, the success of the PCI can be further guaranteed.

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