Literature DB >> 32452059

Smartphone use as a possible risk factor for myopia.

Saoirse Mccrann1, James Loughman1,2, John S Butler3, Nabin Paudel1, Daniel Ian Flitcroft1,4.   

Abstract

CLINICAL RELEVANCE: This study demonstrates an association between myopia and smartphone data usage. Youths now spend more time participating in near tasks as a result of smartphone usage. This poses an additional risk factor for myopia development/progression and is an important research question in relation to potential myopia management strategies.
BACKGROUND: Children are now exposed to another possible environmental risk factor for myopia - smartphones. This study investigates the amount of time students spend on their smartphones and their patterns of smartphone usage from a myopia perspective.
METHODS: Primary, secondary and tertiary level students completed a questionnaire exploring patterns of smartphone usage and assessing their attitudes toward potential myopia risk factors. Device-recorded data usage over an extended period was quantified as the primary and objective indicator of phone use. Average daily time spent using a smartphone was also quantified by self-reported estimates. Refractive status was verified by an optometrist.
RESULTS: Smartphone ownership among the 418 students invited to participate was over 99-per cent. Average daily smartphone data and time usage was 800.37 ± 1,299.88-MB and 265.16 ± 168.02-minutes respectively. Myopic students used almost double the amount of smartphone data at 1,130.71 ± 1,748.14-MB per day compared to non-myopes at 613.63 ± 902.15-MB (p = 0.001). Smartphone time usage was not significantly different (p = 0.09, 12-per cent higher among myopes). Multinomial logistic regression revealed that myopic refractive error was statistically significantly associated with increasing daily smartphone data usage (odds ratio 1.08, 95% CI 1.03-1.14) as well as increasing age (odds ratio 1.09, 95% CI 1.02-1.17) and number of myopic parents (odds ratio 1.55, 95% CI 1.06-2.3). Seventy-three per cent of students believed that digital technology may adversely affect their eyes.
CONCLUSION: This study demonstrates an association between myopia and smartphone data usage. Given the serious nature of the ocular health risks associated with myopia, our findings indicate that this relationship merits more detailed investigation.

Entities:  

Keywords:  Lifestyle; myopia; myopia prevention; risk factors; smartphones

Year:  2021        PMID: 32452059     DOI: 10.1111/cxo.13092

Source DB:  PubMed          Journal:  Clin Exp Optom        ISSN: 0816-4622            Impact factor:   2.742


  11 in total

1.  Influence of parental behavior on myopigenic behaviors and risk of myopia: analysis of nationwide survey data in children aged 3 to 18 years.

Authors:  Yao-Lin Liu; Jia-Pang Jhang; Chuhsing Kate Hsiao; Tzu-Hsun Tsai; I-Jong Wang
Journal:  BMC Public Health       Date:  2022-08-30       Impact factor: 4.135

2.  Examining risk factors related to digital learning and social isolation: Youth visual acuity in COVID-19 pandemic.

Authors:  Ji Liu; Qiaoyi Chen; Jingxia Dang
Journal:  J Glob Health       Date:  2021-08-21       Impact factor: 4.413

3.  Associations of Children's Close Reading Distance and Time Spent Indoors with Myopia, Based on Parental Questionnaire.

Authors:  Olavi Pärssinen; Essi Lassila; Markku Kauppinen
Journal:  Children (Basel)       Date:  2022-04-28

4.  Myopia in Bulgarian school children: prevalence, risk factors, and health care coverage.

Authors:  Mila Dragomirova; Albena Antonova; Slavena Stoykova; Gergana Mihova; Denitsa Grigorova
Journal:  BMC Ophthalmol       Date:  2022-06-04       Impact factor: 2.086

5.  Association between Time Spent on Smart Devices and Change in Refractive Error: A 1-Year Prospective Observational Study among Hong Kong Children and Adolescents.

Authors:  Chi-Wai Do; Lily Y L Chan; Andy C Y Tse; Teris Cheung; Billy C L So; Wing Chun Tang; W Y Yu; Geoffrey C H Chu; Grace P Y Szeto; Regina L T Lee; Paul H Lee
Journal:  Int J Environ Res Public Health       Date:  2020-11-30       Impact factor: 3.390

6.  Combination Effect of Outdoor Activity and Screen Exposure on Risk of Preschool Myopia: Findings From Longhua Child Cohort Study.

Authors:  Lihua Huang; Katrina L Schmid; Xiao-Na Yin; Jingyu Zhang; Jianbo Wu; Guiyou Yang; Zeng-Liang Ruan; Xiao-Qin Jiang; Chuan-An Wu; Wei-Qing Chen
Journal:  Front Public Health       Date:  2021-03-05

Review 7.  Smartphone Overuse and Visual Impairment in Children and Young Adults: Systematic Review and Meta-Analysis.

Authors:  Jian Wang; Mei Li; Daqiao Zhu; Yang Cao
Journal:  J Med Internet Res       Date:  2020-12-08       Impact factor: 5.428

8.  The Associations between Daytime Physical Activity, While-in-Bed Smartphone Use, Sleep Delay, and Sleep Quality: A 24-h Investigation among Chinese College Students.

Authors:  Hongxing Chen; Guodong Zhang; Zhenhuan Wang; Siyuan Feng; Hansen Li
Journal:  Int J Environ Res Public Health       Date:  2022-08-06       Impact factor: 4.614

Review 9.  Let Us Avoid a 'Myopic View' in Times of COVID-19.

Authors:  Lai Yien; Katherine Lun; Cheryl Ngo
Journal:  Children (Basel)       Date:  2022-07-28

10.  Digital Screen Time During COVID-19 Pandemic: Risk for a Further Myopia Boom?

Authors:  Chee Wai Wong; Andrew Tsai; Jost B Jonas; Kyoko Ohno-Matsui; James Chen; Marcus Ang; Daniel Shu Wei Ting
Journal:  Am J Ophthalmol       Date:  2020-07-29       Impact factor: 5.258

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