Cited by 63Ophthalmology and Visual Impairment StudiesErgonomics and Musculoskeletal DisordersChild Development and Digital Technology

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

From reading books to increased smart device screen time

Dirani, Mohamed, Crowston, Jonathan G, Wong, Tien Y·2019·British Journal of Ophthalmology

Abstract

The number of people with myopia is expected to rise from 1.950 billion in 2010 to 4.758 billion by 2050.1 In Asia, the prevalence of myopia in teenagers has been reported to be as high as 96.5%.2 One study demonstrated that 11% of Singaporean preschoolers were already myopic, placing them at a significantly higher risk of developing high myopia and myopic macular degeneration.3 This myopia ‘epidemic’ has become a profound public health concern. In Singapore, the direct cost of managing myopia was estimated at US$755 million annually, and globally at US$328 billion per year.4 It is now thought that because of the rapid increase in the prevalence of myopia in under one generation, environmental factors perhaps play a greater role in its development than our genes. Environmental risk factors include urbanisation, higher educational attainment, higher IQ, but more important has been two consistent risk factors: increased near-work activity and reduced outdoor activity.5 Studies often quantify near-work activity by the number of books …

Overview

Integrity signals

Registry

Crossref · 10.1136/bjophthalmol-2018-313295

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2 of 2 references verified0 citation errors · 0 not checkable

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  • Children and young adults are now exposed to another possible environmental risk factor for myopia - digital devices.

    “Children and young adults are now exposed to another possible environmental risk factor for myopia -digital devices.12”

    From Smartphone use as a possible risk factor for myopia (2021) · cites this paper as [12]

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 14

  1. 10.1016/j.ophtha.2016.01.006 · DOI
  2. Pan, 2015, The age-specific prevalence of myopia in Asia: a meta-analysis, Optom Vis Sci, 92, 258, 10.1097/OPX.0000000000000516 · DOI
  3. 10.1167/iovs.09-3587 · DOI
  4. 10.1016/S0140-6736(12)60272-4 · DOI
  5. Huang HM , Chang DS , Wu PC . The association between near work activities and myopia in children-a systematic review and meta-analysis. PLoS One 2015;10:e0140419.doi:10.1371/journal.pone.0140419 · DOI
  6. Bernard, 2017, Predictors of screen viewing time in young Singaporean children: the GUSTO cohort, Int J Behav Nutr Phys Act, 14, 112, 10.1186/s12966-017-0562-3 · DOI
  7. Celis-Morales CA , Lyall DM , Steell L , et al . Associations of discretionary screen time with mortality, cardiovascular disease and cancer are attenuated by strength, fitness and physical activity: findings from the UK Biobank study. BMC Med 2018;16:77.doi:10.1186/s12916-018-1063-1 · DOI
  8. Ku PW , Steptoe A , Lai YJ , et al . The associations between near visual activity and incident myopia in children: a nationwide 4-year follow-up study. Ophthalmology 2018.doi:10.1016/j.ophtha.2018.05.010 · DOI
  9. Saxena R , Vashist P , Tandon R , et al . Prevalence of myopia and its risk factors in urban school children in Delhi: the North India Myopia Study (NIM Study). PLoS One 2015;10:e0117349.doi:10.1371/journal.pone.0117349 · DOI
  10. Terasaki H , Yamashita T , Yoshihara N , et al . Association of lifestyle and body structure to ocular axial length in Japanese elementary school children. BMC Ophthalmol 2017;17:123.doi:10.1186/s12886-017-0519-y · DOI
  11. Zhou, 2016, [Prevalence of myopia and influencing factors among primary and middle school students in 6 provinces of China], Zhonghua Liu Xing Bing Xue Za Zhi, 37, 29
  12. 10.1136/bjo.2008.150979 · DOI
  13. Zloto O , Wygnanski-Jaffe T , Farzavandi SK , et al . Current trends among pediatric ophthalmologists to decrease myopia progression—an international perspective. Graefes Arch Clin Exp Ophthalmol 2018;56.doi:10.1007/s00417-018-4078-6 · DOI
  14. Yamamura, 1983, An investigation of the Medical Data Index (MDI) health questionnaire given to women VDT workers involved in advanced office automation_924 women clerks in a city bank with head and branch offices, Ind Health, 21, 199, 10.2486/indhealth.21.199 · DOI

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Metadata

Authors
Dirani, M., Crowston, J. G., & Wong, T. Y.
Affiliations
  • Singapore National Eye Center (SG)
  • The University of Melbourne (AU)
Corresponding author
Wong, Tien Y
Venue
British Journal of Ophthalmology
Publisher
BMJ
Published
2018-11-06
Volume
103
Issue
1
Pages
1-2
ISSN
  • 0007-1161 (ISSN-L)
  • 1468-2079
OpenAlex
W2900287757
Cited by
63
References
2
Citations by year
2026: 2 · 2025: 7 · 2024: 3 · 2023: 8 · 2022: 9 · 2021: 12 · 2020: 14 · 2019: 8
Type
journal article
Language
en
Open access
closed
Locations
  • British Journal of Ophthalmology (publishedVersion)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Topics
  • Health Sciences › Medicine › Ophthalmology › Ophthalmology and Visual Impairment Studies
  • Social Sciences › Human Factors and Ergonomics › Ergonomics and Musculoskeletal Disorders
  • Social Sciences › Education › Child Development and Digital Technology
Keywords
myopia, myopia prevalence, screen time, smart devices, outdoor activities, environmental risk factors, myopic macular degeneration, high myopia, reading books
MeSH terms
Screen Time, Humans, Myopia, Reading, Computers, Handheld

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