體重控制計畫效果研究－－網路生理訊號量測監控之應用

Research on 'Effects of Network Physiological Signals on Weight Control' with a Particular University as an Example

本研究旨在探討網路生理訊號量測監控體重控制計畫的效果，從參與健康檢查的個案中，取得身體質量指數 （BMI）＞24 kg/m^2的教職員生100人為樣本，將個案分配為實驗組50人及對照組50人（研究結束，實驗組有效人數44人，完成率88.0％；對照組有效人數34人，完成率68.0％）。本研究結果重點如下：一、網路生理訊號量測監控的體重控制計畫介入後三個月，研究對象在「體重控制知識」、「高密度膽固醇」上，產生顯著的立即效果；介入後六個月後，「體重控制知識」、「高密度膽固醇」、「收縮壓」、「總膽固醇」與「尿酸」呈現出顯著的延宕效果。二、研究對象在「身體質量指數」雖然實驗與對照組在統計上未顯著差異，但實驗組身體質量指數的平均值下降了1個單位。相對所有原因死亡率風險在臨床上約下降了9.0％死亡率風險；而對照組身體質量指數平均值卻上升了0.5個單位，在臨床上上升了約4.5％死亡率風險，兩者之間的死亡率風險就產生了13.5％的差距。

The main purpose of this research is to study the effectiveness of a weight control program through using network physiological signal monitors. From individual health checkup record, those who met the criteria of BMI≧24 were selected. 100 subjects were evenly divided into inferve ntion and control groups. Subjects of both groups were asked to complete pre-test, post-test and after post-test questionnaires. Forty-four subjects (88%) from the intervention group and 34 subjects (68%) from the control group completed the study respectively. Key results were found as follows: 1. Having conducted the network physiological signal monitoring weight-control program for three months, the subjects in the intervention group scored significantly better in weight-control knowledge and high density pipoprotein (HDL) than those in the control group. The differences in HDL level were found statistically significant (P＜.01) in both post-test and after post-test. Though no significant differences were found for total cholesterol level and uric acid in post-test, the differences reached statistically significant level in after post-test. 2. There were no statistically significant differences were found in BMI, waist circumference and diastolic pressure in both post-test and after post-test. Though there was no statistical difference between groups, the effect of BMI on primary endpoint for the subjects in the intervention group decreased 1 unit in average. In refer to the association of relative mortality risk from all causes in clinical, the risk of death decreased by 9%. As compared the results to the control group, the effect of BMI and risk of death increased 0.5 unit and 4.5%, respectively. The risk of death between the intervention group and the control group made 13.5% difference.