Determining the frequency of dry eye in computer users and comparing with control group

AIM: To determine the frequency of dry eye in computer users and to compare them with control group. <p>METHODS: This study was a case control research conducted in 2015 in the city of Birjand. Sample size of study was estimated to be 304 subjects(152 subjects in each group, computer user grou...

Full description

Bibliographic Details
Main Authors: Mohammad Hossein Davari, Ghasem Karimi, Seyed Hamid Sajjadi
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2017-08-01
Series:Guoji Yanke Zazhi
Subjects:
Online Access:http://ies.ijo.cn/cn_publish/2017/8/201708005.pdf
id doaj-25d735632c684370aa7ec9fb728c7688
record_format Article
spelling doaj-25d735632c684370aa7ec9fb728c76882020-11-25T01:11:05ZengPress of International Journal of Ophthalmology (IJO PRESS)Guoji Yanke Zazhi1672-51231672-51232017-08-011781410141410.3980/j.issn.1672-5123.2017.8.05Determining the frequency of dry eye in computer users and comparing with control groupMohammad Hossein Davari0Ghasem Karimi1Seyed Hamid Sajjadi2Birjand University of Medical Sciences, Birjand 9717913637, Iran Cardiovascular Diseases Research Center; Birjand University of Medical Sciences, Birjand 9717913637, IranDepartment of Ophthalmology, Department of Ear, Nose and Throat, Faculty of Medicine, Birjand University of Medical Sciences, Birjand 9717913637, IranStudent Research Committee, Faculty of Medicine, Birjand University of Medical Sciences, Birjand 9717913637, IranAIM: To determine the frequency of dry eye in computer users and to compare them with control group. <p>METHODS: This study was a case control research conducted in 2015 in the city of Birjand. Sample size of study was estimated to be 304 subjects(152 subjects in each group, computer user group and control group). Non-randomized method of sampling was used in both groups. Schirmer test was used to evaluate dry eye of subjects. Then, subjects completed questionnaire. This questionnaire was developed based on objectives and reviewing the literature. After collecting the data, they were entered to SPSS Software and they were analyzed using Chi-square test or Fisher's test at the alpha level of 0.05.<p>RESULTS: In total, 304 subjects(152 subjects in each group)were included in the study. Frequency of dry eyes in the control group was 3.3%(5 subjects)and it was 61.8% in computer users group(94 subjects). Significant difference was observed between two groups in this regard(<i>P</i><0.001). The frequency of eye symptoms in the control group was 7.9%(<i>n</i>=12), and it was 34.2% in computer users group(<i>n</i>=52), which significant difference was observed between two groups in this regard(<i>P</i><0.001). Frequency of dry eye syndrome in computer users by gender and age groups showed no significant correlation in this regard(<i>P</i>=0.8). The mean working hour with computer per day in patients with dry eye was 6.65±3.52h, while it was 1.62±2.54h in healthy group(<i>T</i>=13.25, <i>P</i><0.001).<p>CONCLUSION: This study showed a significant relationship between using computer and dry eye and ocular symptoms. Thus, it is necessary that officials need to pay particular attention to working hours with computer by employees. They should also develop appropriate plans to divide the working hours with computer among computer users. However, due to various confounding factors, it is recommended that these factors to be controlled in future studies.http://ies.ijo.cn/cn_publish/2017/8/201708005.pdfdry eyecomputer usersphysical effectsphysical effects
collection DOAJ
language English
format Article
sources DOAJ
author Mohammad Hossein Davari
Ghasem Karimi
Seyed Hamid Sajjadi
spellingShingle Mohammad Hossein Davari
Ghasem Karimi
Seyed Hamid Sajjadi
Determining the frequency of dry eye in computer users and comparing with control group
Guoji Yanke Zazhi
dry eye
computer users
physical effects
physical effects
author_facet Mohammad Hossein Davari
Ghasem Karimi
Seyed Hamid Sajjadi
author_sort Mohammad Hossein Davari
title Determining the frequency of dry eye in computer users and comparing with control group
title_short Determining the frequency of dry eye in computer users and comparing with control group
title_full Determining the frequency of dry eye in computer users and comparing with control group
title_fullStr Determining the frequency of dry eye in computer users and comparing with control group
title_full_unstemmed Determining the frequency of dry eye in computer users and comparing with control group
title_sort determining the frequency of dry eye in computer users and comparing with control group
publisher Press of International Journal of Ophthalmology (IJO PRESS)
series Guoji Yanke Zazhi
issn 1672-5123
1672-5123
publishDate 2017-08-01
description AIM: To determine the frequency of dry eye in computer users and to compare them with control group. <p>METHODS: This study was a case control research conducted in 2015 in the city of Birjand. Sample size of study was estimated to be 304 subjects(152 subjects in each group, computer user group and control group). Non-randomized method of sampling was used in both groups. Schirmer test was used to evaluate dry eye of subjects. Then, subjects completed questionnaire. This questionnaire was developed based on objectives and reviewing the literature. After collecting the data, they were entered to SPSS Software and they were analyzed using Chi-square test or Fisher's test at the alpha level of 0.05.<p>RESULTS: In total, 304 subjects(152 subjects in each group)were included in the study. Frequency of dry eyes in the control group was 3.3%(5 subjects)and it was 61.8% in computer users group(94 subjects). Significant difference was observed between two groups in this regard(<i>P</i><0.001). The frequency of eye symptoms in the control group was 7.9%(<i>n</i>=12), and it was 34.2% in computer users group(<i>n</i>=52), which significant difference was observed between two groups in this regard(<i>P</i><0.001). Frequency of dry eye syndrome in computer users by gender and age groups showed no significant correlation in this regard(<i>P</i>=0.8). The mean working hour with computer per day in patients with dry eye was 6.65±3.52h, while it was 1.62±2.54h in healthy group(<i>T</i>=13.25, <i>P</i><0.001).<p>CONCLUSION: This study showed a significant relationship between using computer and dry eye and ocular symptoms. Thus, it is necessary that officials need to pay particular attention to working hours with computer by employees. They should also develop appropriate plans to divide the working hours with computer among computer users. However, due to various confounding factors, it is recommended that these factors to be controlled in future studies.
topic dry eye
computer users
physical effects
physical effects
url http://ies.ijo.cn/cn_publish/2017/8/201708005.pdf
work_keys_str_mv AT mohammadhosseindavari determiningthefrequencyofdryeyeincomputerusersandcomparingwithcontrolgroup
AT ghasemkarimi determiningthefrequencyofdryeyeincomputerusersandcomparingwithcontrolgroup
AT seyedhamidsajjadi determiningthefrequencyofdryeyeincomputerusersandcomparingwithcontrolgroup
_version_ 1725172851075448832