Smartphone use as a possible risk factor for myopia
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 potent...
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Published in | Clinical and experimental optometry Vol. 104; no. 1; pp. 35 - 41 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Taylor & Francis Ltd
2021
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Subjects | |
Online Access | Get full text |
ISSN | 0816-4622 1444-0938 1444-0938 |
DOI | 10.1111/cxo.13092 |
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Abstract | 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.
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.
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.
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.
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. |
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AbstractList | 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.
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.
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.
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.
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. 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.CLINICAL RELEVANCEThis 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.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.BACKGROUNDChildren 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.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.METHODSPrimary, 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.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.RESULTSSmartphone 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.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.CONCLUSIONThis 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. Clinical relevanceThis 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.BackgroundChildren 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.MethodsPrimary, 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.ResultsSmartphone 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.ConclusionThis 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. |
Author | Mccrann, Saoirse Flitcroft, Daniel Ian Paudel, Nabin Loughman, James Butler, John S |
Author_xml | – sequence: 1 givenname: Saoirse orcidid: 0000-0002-9510-8756 surname: Mccrann fullname: Mccrann, Saoirse organization: Centre for Eye Research Ireland, School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland – sequence: 2 givenname: James surname: Loughman fullname: Loughman, James organization: Centre for Eye Research Ireland, School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland, Department of Optometry, African Vision Research Institute, University of KwaZulu Natal, Durban, South Africa – sequence: 3 givenname: John S surname: Butler fullname: Butler, John S organization: School of Mathematical Sciences, Technological University Dublin, Dublin, Ireland – sequence: 4 givenname: Nabin surname: Paudel fullname: Paudel, Nabin organization: Centre for Eye Research Ireland, School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland – sequence: 5 givenname: Daniel Ian surname: Flitcroft fullname: Flitcroft, Daniel Ian organization: Centre for Eye Research Ireland, School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Dublin, Ireland, Department of Ophthalmology, Children’s University Hospital, Dublin, Ireland |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32452059$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1111/aos.12387 10.1136/bmjopen-2018-023191 10.1371/journal.pone.0117349 10.1046/j.1475-1313.1999.00437.x 10.1001/jamaophthalmol.2015.0471 10.1111/opo.12453 10.1001/archopht.120.5.620 10.1111/opo.12620 10.1016/j.preteyeres.2012.06.004 10.1136/bjophthalmol-2018-313295 10.1136/bjophthalmol-2015-307724 10.1016/j.preteyeres.2017.09.004 10.1371/journal.pone.0215827 10.1167/iovs.06-0562 10.1167/iovs.18-25955 10.1001/jamaophthalmol.2016.1275 10.1016/j.ypmed.2014.12.005 10.1111/opo.12657 10.1038/srep33902 10.1016/j.ijhcs.2019.05.004 10.1016/j.ophtha.2016.01.006 10.4306/pi.2017.14.2.198 10.1016/j.ypmed.2020.105988 10.1016/j.visres.2009.07.011 10.1080/10410236.2017.1422099 10.1145/2557968.2557971 10.1001/archopht.1985.01050060050022 10.1167/iovs.18-25977 10.1016/j.ophtha.2018.01.033 10.1353/foc.0.0007 10.1111/cxo.12453 10.1016/j.exer.2013.04.018 10.1371/journal.pone.0146332 10.3390/ijerph17031056 10.3389/fpsyg.2016.01957 10.1016/j.ophtha.2018.05.010 10.15446/dyna.v84n200.62156 |
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References | cit0034 cit0032 cit0039 Boase J (cit0033) 2013; 18 cit0037 Mountjoy E (cit0010) 2018; 361 cit0038 cit0035 cit0022 cit0023 cit0021 cit0028 cit0029 cit0026 cit0027 cit0024 cit0025 Saw S (cit0030) 2002; 43 cit0011 cit0012 Zhou J (cit0020) 2016; 37 cit0050 Mutti DO (cit0031) 2002; 43 cit0017 Damian C (cit0019) 2010; 112 cit0018 cit0015 cit0016 cit0013 cit0014 cit0044 cit0001 cit0045 cit0042 cit0043 cit0040 cit0041 Huang H‐M (cit0036) 2015; 10 cit0008 cit0009 cit0006 cit0007 cit0004 cit0048 cit0005 cit0049 cit0002 cit0046 cit0003 cit0047 |
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Title | Smartphone use as a possible risk factor for myopia |
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