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Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors

Overview of attention for article published in BMC Research Notes, March 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
policy
1 policy source
twitter
1 X user
reddit
1 Redditor

Citations

dimensions_citation
208 Dimensions

Readers on

mendeley
895 Mendeley
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Title
Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors
Published in
BMC Research Notes, March 2016
DOI 10.1186/s13104-016-1962-1
Pubmed ID
Authors

P. Ranasinghe, W. S. Wathurapatha, Y. S. Perera, D. A. Lamabadusuriya, S. Kulatunga, N. Jayawardana, P. Katulanda

Abstract

Computer vision syndrome (CVS) is a group of visual symptoms experienced in relation to the use of computers. Nearly 60 million people suffer from CVS globally, resulting in reduced productivity at work and reduced quality of life of the computer worker. The present study aims to describe the prevalence of CVS and its associated factors among a nationally-representative sample of Sri Lankan computer workers. Two thousand five hundred computer office workers were invited for the study from all nine provinces of Sri Lanka between May and December 2009. A self-administered questionnaire was used to collect socio-demographic data, symptoms of CVS and its associated factors. A binary logistic regression analysis was performed in all patients with 'presence of CVS' as the dichotomous dependent variable and age, gender, duration of occupation, daily computer usage, pre-existing eye disease, not using a visual display terminal (VDT) filter, adjusting brightness of screen, use of contact lenses, angle of gaze and ergonomic practices knowledge as the continuous/dichotomous independent variables. A similar binary logistic regression analysis was performed in all patients with 'severity of CVS' as the dichotomous dependent variable and other continuous/dichotomous independent variables. Sample size was 2210 (response rate-88.4 %). Mean age was 30.8 ± 8.1 years and 50.8 % of the sample were males. The 1-year prevalence of CVS in the study population was 67.4 %. Female gender (OR: 1.28), duration of occupation (OR: 1.07), daily computer usage (1.10), pre-existing eye disease (OR: 4.49), not using a VDT filter (OR: 1.02), use of contact lenses (OR: 3.21) and ergonomics practices knowledge (OR: 1.24) all were associated with significantly presence of CVS. The duration of occupation (OR: 1.04) and presence of pre-existing eye disease (OR: 1.54) were significantly associated with the presence of 'severe CVS'. Sri Lankan computer workers had a high prevalence of CVS. Female gender, longer duration of occupation, higher daily computer usage, pre-existing eye disease, not using a VDT filter, use of contact lenses and higher ergonomics practices knowledge all were associated with significantly with the presence of CVS. The factors associated with the severity of CVS were the duration of occupation and presence of pre-existing eye disease.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 895 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 895 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 176 20%
Student > Master 71 8%
Student > Doctoral Student 41 5%
Researcher 36 4%
Student > Postgraduate 36 4%
Other 122 14%
Unknown 413 46%
Readers by discipline Count As %
Medicine and Dentistry 227 25%
Nursing and Health Professions 102 11%
Engineering 17 2%
Environmental Science 16 2%
Social Sciences 10 1%
Other 89 10%
Unknown 434 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2023.
All research outputs
#827,451
of 23,923,788 outputs
Outputs from BMC Research Notes
#66
of 4,330 outputs
Outputs of similar age
#15,108
of 303,388 outputs
Outputs of similar age from BMC Research Notes
#2
of 116 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 303,388 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.