大學生網路成癮與食物攝取及病態飲食行為相關研究

本研究主要目的為探討網路成癮與食物攝取及病態飲食行為之關係。調查對象為中部某醫學大學部一至四年級學生，採不記名自填問卷型式，隨機抽測班級並在課堂中施測。問卷內容包括五個部分：A.基本背景資料；B.網路成癮量表(CIAS)；C.SCOFF問卷；D.半定量飲食頻率問卷(SQFFQ)及E.24小時飲食回憶問卷(24HDR)。結果(1)本研究受試大學生網路成癮量表(CIAS)平均分數為55.09±10.83，網路成癮比例為19.9%(CIAS積分≧64)。(2)隨年級上升，網路成癮比率顯著增加。(3)高網路成癮組(CIAS積分≧64)午餐攝取頻率顯著低於低網路成癮組(CIAS積分＜63)，然而宵夜攝取頻率則顯著較高。(4)將水果攝取量分為有攝取水果及無攝取水果，結果顯示有攝取水果者網路成癮分數顯著較低，且水果攝取頻率與網路成癮呈顯著負相關。(5)高網路成癮組點心熱量、醣類及脂質攝取量顯著高於低網路成癮組。(6)高網路成癮組攝取餅乾類、速食麵類及炸物類顯著較高，然而攝取乳製品則顯著較低。(7)網路成癮與宵夜、點心、餅乾類、糖果類、飲料類、速食麵類、包子餃類及炸物類攝取頻率呈顯著正相關；與午餐攝取頻率、水果攝取量呈顯著負相關。(8)高網路成癮組病態飲食行為傾向顯著高於低網路成癮組，且呈顯著正相關。本研究結果顯示網路成癮可能造成不健康的飲食行為及病態飲食行為傾向。長期可能會導致健康與慢性疾病之發生。建議正視大學生網路正確使用及營養相關教育。良好的網路使用習慣及營養攝取有助於維持身心健康。

關鍵字

網路成癮；營養攝取；病態飲食行為；大學生

並列摘要

The purpose of this study was to investigate the relationship among internet addiction, food intake and eating disorder in college students. The anonymous self-report questionnaire with five sections was used, including A. Demographic information ; B. Chen Internet Addiction Scale ( CIAS ) ; C. SCOFF ( Sick、Control、One、Fat、Food, SCOFF ) ; D. Semi-quantitative food frequency questionnaire ( SQFFQ ) ; E. 24 - Hour dietary recall ( 24HDR ). The results showed : ( 1 ) The mean CIAS score of the participants is 55.09 ± 10.83, and high Internet addiction rate is 19.9% ( CIAS score ≧ 64 ). ( 2 ) With grade increase, internet addiction rate significantly increased. ( 3 ) The frequency of eating lunch in high internet addiction group ( CIAS score ≧ 64 ) was significant lower than low internet addiction group ( CIAS score＜63 ), and the frequency of eating midnight snacks was significant higher. ( 4 ) Fruits intake was divided into fruits intake group and no intake group. CIAS score of fruits intake group was significant higher than no intake group, and the frequency of eating fruits and internet addiction were significant negative correlation. ( 5 ) Snack intakes of calories, carbohydrate and fat in high internet addiction group was significant higher than low internet addiction group. ( 6 ) The frequency of eating cookies, instant noodles and fried food type in high internet addiction group was significant higher than low internet addiction group, and the frequency of eating dairy products was significant lower. ( 7 ) Internet addiction and the frequency of eating midnight snack, snack, cookies, candy, drinks, instant noodles, dumplings and fried food type were significant positive correlation ; and the frequency of eating lunching fruits intake were significant negative correlation. ( 8 ) Eating disorder tendency in high internet addiction group was significant higher than low internet addiction group, and eating disorder tendency and internet addiction were significant positive correlation. The results from this study showed that internet addiction may affect nutritional intake, eating behaviors and eating disorder tendency. In long-term, may affect health and chronic diseases occurrence. We suggest the problem of internet addiction among college students should be paid more attention due to its potential influence in nutrition status and various health conditions.