大學生中風症狀認知與預期因應行為研究-以新北市某大專校院為例

Abstract

本研究旨在探討年滿二十歲大學生的「中風症狀認知」與「中風預期因應行為」現況及影響的相關因素。本研究為橫斷式及描述性設計，參閱原文The Stroke Action Test(STAT)及中譯「中風症狀認知與因應行為問卷」後自擬問卷，為設計進行施測。 本研究以SPSS軟體進行統計分析，研究結果顯示中風症狀認知答對率為63.0%±26.7，有中風家族史者優於無家族史(p=0.046)，研究對象之中有三成以上將心臟症狀誤認為中風症狀；預期因應行為答對率30.4%±22.9，男性答對率較女性高(p=0.017)；健康情境中答對率最高的前三題皆與辛辛那提中風症狀(一側臉無力、一側肢體無力、說話困難)有關。有中風家族病史及中風症狀認知程度較高者，預期因應行為的正確填答率較高(p<0.001)。 因中風症狀認知程度與中風家族病史是預期因應行為的主要相關因素，且本研究對象有三成以上將心臟症狀視為中風症狀，建議急救訓練加入辛辛那提中風辨識或中風口訣。The purpose of this study was to explore the factors related to the current status and impact of "stroke symptom perception" and "stroke expected response behavior" among college students over the age of 20. This is a cross-sectional and descriptive study. This study collected data from 216 surveyed students and assessed (variables including gender, BMI, family history of stroke, stroke learning experience, source of stroke information, and stroke symptoms knowledge and action, which was measured using The Stroke Action Test (STAT). This study used SPSS software for statistical analysis. The correct rate of stroke symptom knowledge was 63.0%±26.7, and those with family history of stroke reported better knowledge than those without family history (p=0.046). More than one-third of surveyed students failed to distinguish the symptoms of heart disease and stroke. The correct rate of stroke action was 30.4%±22.9, and the rate of male students was higher than that of female (p=0.017). The questions with the highest correct rate were related to Cincinnati's stroke symptoms (i.e., weak of one side face, weak of one side limb, and difficulty speaking). Those with family history of stroke or with better knowledge of stroke symptoms were likely to have a higher correct rate of response action (p< 0.001). Stroke symptom knowledge and family history of stroke might be the predictors of stroke response action. Findings also revealed that more than one-third of surveyed students mistook heart disease symptoms as stroke symptoms. This study recommends that the education of stroke symptom identification should be added to current first-aid training.