【摘要】：[目的]探討兒童干眼的臨床特點及其與不同視頻顯示終端(VDT)使用時間、睡眠時間之間的關系。[方法]收集2014年6月至2017年2月,在我院眼科門診就診的符合成年人干眼診斷標準的兒童89例(178眼)作為兒童干眼的觀察組,在我院視光部就診的無明顯眼部不適癥狀的兒童38例(76眼)作為對照組,分析病史及癥狀,進行雙眼淚膜破裂時間(tear film break-up time,BUT)、角膜熒光素染色(corneal fluorescing staining,CFS)、淚液分泌試驗(Schirmer test I,SIT)檢查,比較兩組間不同VDT(分別為手機、電腦、電視)使用時間及睡眠時間的差異。[結果]89例干眼兒童中頻繁眨眼51例(57.3%),眼癢29例(32.6%),異物感15例(16.9%),眼紅15例(16.9%)。觀察組與對照組間兒童性別和年齡沒有顯著性差異(P0.05)。觀察組BUT值:右眼[1(0,2)],左眼[1(0,2)]均明顯低于對照組BUT值:右眼[2(0,4)],左眼[2(0,3.3)],差異均有統(tǒng)計學意義(P0.05);觀察組CFS陽性率(雙眼28.1%)明顯高于對照組CFS陽性率(雙眼10.5%),差異有統(tǒng)計學意義(P0.05);兩組間SIT結果無統(tǒng)計學差異(P0.05);平均每日睡眠時間觀察組[8.5(8.0,9.0)]低于對照組[9.0(8.5,9.6)],平均每日使用電腦時間觀察組[0(0,1)]高于對照組[0(0,0.25)],且差異均有統(tǒng)計學意義(P0.05);二元Logistic回歸模型結果:平均每日使用電腦時間較長的兒童更容易患干眼(OR=1.851,P0.05),而平均每日睡眠時間較長的兒童更不容易患干眼(OR=0.621,P0.05)。[結論]使用電腦可能是兒童干眼的危險因素,睡眠可能是兒童干眼的保護因素。
[Abstract]:Objective: to investigate the clinical characteristics of dry eye in children and its relationship with (VDT) time and sleep time of different video display terminals. [methods] from June 2014 to February 2017, 89 children (178 eyes) who met the criteria of dry eye diagnosis in our hospital were selected as the observation group. Thirty-eight children (76 eyes) without obvious ocular discomfort were treated in our hospital as control group. The history and symptoms were analyzed, the time of tear film rupture (tear film break-up time,BUT), corneal fluorescein staining (corneal fluorescing staining,CFS) and tear secretion test (Schirmer test ISIT) were examined. Use time and sleep time of different VDT (cell phone, computer, TV) were compared between the two groups. [results] among 89 children with dry eye, 51 cases (57.3%) had frequent blink, 29 cases (32.6%) had itching, 15 cases (16.9%) had foreign body sensation, 15 cases (16.9%) had eye red. There was no significant difference in gender and age between the observation group and the control group (P0.05). The BUT values of the observation group were significantly lower than those of the control group in the right eye [1 (0 ~ 2)], the left eye [1 (0 ~ 2)], the right eye [2 (0 ~ 4)], the left eye [2 (0 3)] (P0.05), the positive rate of CFS in the observation group (28. 1%) was significantly higher than that in the control group (10. 5%), the difference was statistically significant (P < 0. 05), and the positive rate of CFS in the observation group (28. 1%) was significantly higher than that in the control group (10. 5%). There was no significant difference in SIT results between the two groups (P0.05); the average daily sleep time in the observation group [8.5 (8.0 鹵9.0)] was lower than that in the control group [9.0 (8.5 鹵9.6)], and the average daily computer time in the observation group [0 (00.25)] was higher than that in the control group [0 (00.25)], and the difference was statistically significant (P0.05); the binary Logistic gyrus was significantly higher in the observation group than in the control group (P0.05). The results showed that children with longer daily computer use were more likely to develop dry eye (OR=1.851,P0.05), while those with longer daily sleep were less likely to develop dry eye (OR=0.621,P0.05). Conclusion: the use of computer may be the risk factor of dry eye in children, and sleep may be the protective factor of dry eye in children.
【學位授予單位】：廣西醫(yī)科大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R777.34

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