| Objective: Blue light(400~500nm)radiation is not only an important environmental physical factor that people are exposed to every day,but also one of the pathogenic factors of retinal injury.In daily life,people are exposed to blue light mainly in the blue light of daylight,mobile phones,computers,TV screens and LED emission of blue light.In China,63.5% of netizens suffer from eye diseases of different degrees such as vision loss,cataract and blindness due to blue light radiation.Visible blue light is the most harmful visible light,so we need to conduct in-depth research on the blue light radiation exposed to eyes.To quantify blue light exposure to the eyes in the study,the rotary eye light exposure model was applied to monitor the environmental exposure of blue light radiation from outdoor sunlight reaching the eyes,a mannequin that simulate the main blue light exposure patterns in real life was applied to monitor the blue light radiation that reaches the eyes emitted by the mobile phones and computer screens.Then,the risk exposure ratio was calculated based on the retinal blue light exposure dose limit proposed by the International Commission on Non-Ionizing Radiation Protection(ICNIRP),and it provided a new idea for quantitative evaluation of ocular blue light radiation.In addition,we also conducted a questionnaire survey on college students based on the use patterns and characteristics of mobile phones,aiming at grasping the current use patterns of mobile phones among college students.Combined with demographic data and outdoor activity time,we analyzed the influence of mobile phone use patterns on visual fatigue and sleep quality among college students.Moreover,the structural equation model was used to verify the relationship between the use of mobile phones and visual fatigue and sleep quality of college students,which laid a foundation for the subsequent evaluation of eye and other health hazards caused by blue light radiation from mobile phones.Methods: In the outdoor environment,the blue light exposure intensity in the eyes and horizontal environment was monitored by using the rotating blue light exposure model.In the indoor environment,college students' dormitories were selected,and a mannequin was used to simulate the real state of using mobile phones and computers in life,respectively,to monitor the blue light radiation exposure to eyes emitted by mobile phones and computer screens.The monitoring data can be processed by "Avasoft 7.4 for USB2.0" software and Origin Pro 8.0 software to obtain the monitoring data of blue light radiation intensity and blue light radiation dose under different conditions,it is used to analyze and evaluate the characteristics of blue light radiation exposed to eyes by outdoor sunlight and indoor mobile phones and computers.In college students' mobile phone usage survey of the effects of visual fatigue and sleep quality,we analyzed the effects of mobile phone usage on visual fatigue and sleep quality of college students using demographic data,mobile phone usage survey,Internet addiction scale(IAT),visual fatigue symptoms questionnaire and Pittsburgh sleep quality index scale(PSQI).Structural equation model(SEM)was also used to verify the relationship between mobile phone use style and visual fatigue and sleep quality of college students.Results: Part I: 1.The daytime blue light radiation distribution of eyes was bimodal,and the daytime blue light radiation distribution of environment was bell-shaped.At the same time or at the same sun altitude,the blue light radiation intensity of eyes was lower than that of the environment.2.The environmental blue light radiation intensity increases with the increase of the solar altitude Angle.When SEA is below 44°,the blue light radiation intensity of eye exposure increases with the increase of the solar altitude Angle;when SEA is above 44°,the blue light radiation intensity decreases with the increase of the solar altitude Angle.3.The environmental 1-hour cumulative blue ray radiation dose reaches its maximum value at 12:15~13:15CST,and the 1-hour cumulative blue ray radiation dose of eyes reaches its maximum value at 9:15~10:15 CST and 15:15~16:16 CST respectively in the morning and afternoon.4.The most intense exposure time of environmental sunlight and blue light is 4 hours around noon.The blue light exposure dose of eyes distributed evenly in different time periods,not concentrated around noon,but had a peak in the morning and afternoon respectively.5.The maximum risk value of accumulated blue ray radiation dose in every hour of ambient sunlight occurs in 15:15~16:16CST,followed by 9:15~10:15CST,that is,when the sun altitude Angle is within the range of 40°~50°,the cumulative damage of blue ray to eyes in sunlight is the largest.6.When using a computer,with the increase of the distance from the computer screen to the eye,the blue light radiation intensity decreases;when using the phone lying down,blue light radiation intensity did not change much as the distance from the screen increased.7.There were statistically significant differences in blue light radiation intensity between different display interfaces at night and day when using computer in sitting posture,mobile phone in sitting posture and mobile phone in lying posture(P<0.05).When the light was on and the light was off,the difference of blue light radiation intensity between different display interfaces was statistically significant(P<0.05).There was no significant difference between different display interfaces between the eye-protecting mode and non-eye-protecting mode.(P>0.05).8.When using a computer or mobile phone in sitting position,the amount of blue light in the eyes is basically in line with the daytime lights on > daytime lights off > nighttime lights on > nighttime lights off;When the mobile phone is used in the lying position,the amount of blue light radiation in the eyes is basically in line with the nighttime lights on > nighttime lights off > daytime lights on or off.9.There was no statistical significance in the blue light radiation intensity of eyes among different mobile phone display pages(P>0.05).10.There was no significant difference in blue light radiation intensity between non-eye protection mode and eye protection mode when using computer in sitting position,mobile phone in lying position and sitting position(P>0.05).Part II: 11.College students' mobile phone use time is relatively long,including accumulated daily use time and bedtime use time.Those whose daily cumulative time of using mobile phones was less than 5 hours accounted for 40.30% of the total respondents,and those whose daily cumulative time of using mobile phones was more than 5 hours accounted for 41.20% of the total respondents.41.20% of the respondents used their mobile phones within 1 hour before going to bed.12.The detection rate of Internet addiction was 45.89%,the detection rate of visual fatigue was 52.13%,and the detection rate of poor sleep quality was 37.51%.13.The longer the time spent in outdoor activities,the lower the scores of Internet addiction,visual fatigue and PSQI,with statistical significance(P<0.05).14.The longer the distance between eyes and mobile phone screen,the lower the Internet addiction score,visual fatigue score and PSQI score,with statistical significance(P<0.05);the longer the daily cumulative use time,the bedtime use time,the bedtime with light on,and the bedtime with light off,the higher the Internet addiction score,visual fatigue score and PSQI score,with statistical significance(P<0.05).15.Time for outdoor activities and distance between eyes and screen are protective factors for Internet addiction,visual fatigue and sleep quality;Cumulative daily use time and light off before bedtime are risk factors for Internet addiction,visual fatigue,and sleep quality.16.The incidence of visual fatigue of college students with Internet addiction was high,and the difference was statistically significant(P<0.01).The greater the degree of Internet addiction,the worse the visual fatigue of college students was,the difference was statistically significant(P<0.01).The college students with Internet addiction had poor sleep quality,and the difference was statistically significant(P<0.01).The college students with greater degree of Internet addiction had worse sleep quality,and the difference was statistically significant(P<0.01).17.Internet addiction plays a mediating role in the effects of mobile phone use style on visual fatigue and sleep quality.Conclusion: 1.In the outdoor environment,the blue light radiation intensity of eyes is different from the blue light radiation intensity of the environment in the daytime and with the altitude Angle of the sun.The blue light radiation intensity of eyes is less than the blue light radiation intensity of the environment.2.In the outdoor environment,the blue light radiation dose peak of the environment in one hour is different from the blue light radiation dose peak of the eyes in one hour.The cumulative effective dose of blue light radiation from eye and retina in one hour was the highest when the solar altitude Angle was in the range of 40°~50°.3.In the indoor environment,the main factors that affect the blue light radiation intensity of eyes are the ambient brightness(night and day,light on and light off),and the use posture(sitting and lying posture).4.When using mobile phones and computers in the indoor environment,the blue light radiation intensity and dose of eyes are far less than that of sunlight and blue light radiation intensity and dose in the outdoor environment.5.Different outdoor activity time and different mobile phone usage are related to visual fatigue and sleep quality of college students.6.Internet addiction played a mediating role in the effects of mobile phone use style on visual fatigue and sleep quality. |
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