台灣近年來，社會環境變化，由農業社會轉變為科技資訊時代；科技的蓬勃發展，使機器自動化取代了傳統勞務工作，促使國人生活型態的改變，導致身體活動機會大大的減少，身體活動量測量工具種類較多，測量身體活動量相關行為之研究工具可歸類為主觀與客觀兩大類；多數研究僅使用單一測量工具，但主觀與客觀測量工具各有其有缺點，了解兩類型測量工具之相關性將有助於比較相關研究之數據。研究目的在了解大學生主觀與客觀的測量工具之間在身體活動量與睡眠行為之關聯性比較。本研究以問卷、PAR(7-day physical activity recall)、IPAQ(International Physical Activity Questionnaire)和計步器、加速度紀錄器為研究工具，研究對象為嘉南藥理大學日間部學生，採用橫斷式調查法，總計回收有效資料為130份，有效回收率99.2%。研究主要發現如下:四種主觀與客觀測量工具間具有顯著差異存在。在兩個主觀工具，以輕強度和久坐估計分鐘數差異最多，差距達到285-416分鐘，兩個客觀工具，以熱量消耗估計差異最多，差距達到310卡路里，主觀與客觀工具間比較來看，輕強度和久坐估計分鐘數和熱量消耗估計的差異最大，就PAR和加速度紀錄器兩者間而言，分鐘數估計相差400-424分鐘而熱量消耗估計有377卡路里之差異，在相關方面主觀(PAR)和主觀(IPAQ)在高強度和中強度與久坐分鐘數都有相關(r=0.43,p<0.001)，客觀(計步器)與客觀(加速度紀錄器)在步數與熱量消耗都有相關(r=0.79,p<0.001)，主觀(PAR)與客觀(加速度紀錄器)在高強度、輕強度、久坐、熱量消耗、MET(代謝當量)都有相關(r=0.61,p<0.001)。主觀和客觀測量工具之間相關性在身體活動量上，在加速度紀錄器與PAR在4種主觀與客觀工具間之相關性，以PAR和加速度紀錄器存在較多共同變項在中到高強度之正相關，在加速度紀錄器和IPAQ沒有共同變項，計步器與PAR在熱量消耗分數上呈現高強度正相關，在加速度紀錄器與計步器步數和熱量消耗呈現高強度正相關，同質性的測量工具之間的相關性較高是客觀工具之相關性比主觀工具之相關性還要高，睡眠紀錄表與加速度紀錄器有低到中強度正相關，在真正睡眠長度相關係數較高。 Measures of physical activity-related behaviors of research tools can be classified into two categories: subjective and objective.Most studies used only one measurement tool. As subjective and objective measurement tools have their own shortcomings and advantages,understanding the correlation between two types of measurement tools will help to compare data across studies.The study aims to compare estimates of activity levels and sleep behavior across 4 different types of measyrement tools.We used questionnaires, pedometers,and accelerometers as a research tools.A total of 130 college students from Chia Nan University of Pharmacy were recruited.We found that there are significant differences between different measurement tools. For the estimates from two subjective measures,the greatest differences were found on light physical activity and sedentary behavior (285-416 minutes).For the estimates from two objective tool,the biggest difference were found on calorie consumption (310 calories).For the estimates from subjective and objective measures,the greatest differences were found on light physical activity and sedentary behavior (400-424 minutes).There was a positive correlation between PAR and IPAQ estimate (r=0.43,p<0.001),while there is a positive correlation between caloric estimates from pedeometers and accelerometers (r=0.79,p<0.001).There are positive correlattions betweem PAR and accelerometers on vigorous physical activity,light physical activity, sedentary behavior, MET,and energy expenditure.
