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Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition

PURPOSE: Changes in refractive error during young adulthood is common yet risk factors at this age are largely unexplored. This study explored risk factors for these changes, including gene–environmental interactions. METHODS: Spherical equivalent refraction (SER) and axial length (AL) for 624 commu...

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Autores principales: Lee, Samantha Sze-Yee, Lingham, Gareth, Wang, Carol A., Diaz Torres, Santiago, Pennell, Craig E., Hysi, Pirro G., Hammond, Christopher J., Gharahkhani, Puya, Clark, Rosie, Guggenheim, Jeremy A., Mackey, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668617/
https://www.ncbi.nlm.nih.gov/pubmed/37982764
http://dx.doi.org/10.1167/iovs.64.14.28
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author Lee, Samantha Sze-Yee
Lingham, Gareth
Wang, Carol A.
Diaz Torres, Santiago
Pennell, Craig E.
Hysi, Pirro G.
Hammond, Christopher J.
Gharahkhani, Puya
Clark, Rosie
Guggenheim, Jeremy A.
Mackey, David A.
author_facet Lee, Samantha Sze-Yee
Lingham, Gareth
Wang, Carol A.
Diaz Torres, Santiago
Pennell, Craig E.
Hysi, Pirro G.
Hammond, Christopher J.
Gharahkhani, Puya
Clark, Rosie
Guggenheim, Jeremy A.
Mackey, David A.
author_sort Lee, Samantha Sze-Yee
collection PubMed
description PURPOSE: Changes in refractive error during young adulthood is common yet risk factors at this age are largely unexplored. This study explored risk factors for these changes, including gene–environmental interactions. METHODS: Spherical equivalent refraction (SER) and axial length (AL) for 624 community-based adults were measured at 20 (baseline) and 28 years old. Participants were genotyped and their polygenic scores (PGS) for refractive error calculated. Self-reported screen time (computer, television, and mobile devices) from 20 to 28 years old were collected prospectively and longitudinal trajectories were generated. Past sun exposure was quantified using conjunctival ultraviolet autofluorescence (CUVAF) area. RESULTS: Median change in SER and AL were −0.023 diopters (D)/year (interquartile range [IQR] = −0.062 to –0.008) and +0.01 mm/year (IQR = 0.000 to 0.026), respectively. Sex, baseline myopia, parental myopia, screen time, CUVAF, and PGS were significantly associated with myopic shift. Collectively, these factors accounted for approximately 20% of the variance in refractive error change, with screen time, CUVAF, and PGS each explaining approximately 1% of the variance. Four trajectories for total screen time were found: “consistently low” (n = 148), “consistently high” (n = 250), “consistently very high” (n = 76), and “increasing” (n = 150). Myopic shift was faster in those with “consistently high” or “consistently very high” screen time compared to “consistently-low” (P ≤ 0.031). For each z-score increase in PGS, changes in SER and AL increased by −0.005 D/year and 0.002 mm/year (P ≤ 0.045). Of the three types of screen time, only computer time was associated with myopic shift (P ≤ 0.040). There was no two- or three-way interaction effect between PGS, CUVAF, or screen time (P ≥ 0.26). CONCLUSIONS: Higher total or computer screen time, less sun exposure, and genetic predisposition are each independently associated with greater myopic shifts during young adulthood. Given that these factors explained only a small amount of the variance, there are likely other factors driving refractive error change during young adulthood.
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spelling pubmed-106686172023-11-20 Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition Lee, Samantha Sze-Yee Lingham, Gareth Wang, Carol A. Diaz Torres, Santiago Pennell, Craig E. Hysi, Pirro G. Hammond, Christopher J. Gharahkhani, Puya Clark, Rosie Guggenheim, Jeremy A. Mackey, David A. Invest Ophthalmol Vis Sci Clinical and Epidemiologic Research PURPOSE: Changes in refractive error during young adulthood is common yet risk factors at this age are largely unexplored. This study explored risk factors for these changes, including gene–environmental interactions. METHODS: Spherical equivalent refraction (SER) and axial length (AL) for 624 community-based adults were measured at 20 (baseline) and 28 years old. Participants were genotyped and their polygenic scores (PGS) for refractive error calculated. Self-reported screen time (computer, television, and mobile devices) from 20 to 28 years old were collected prospectively and longitudinal trajectories were generated. Past sun exposure was quantified using conjunctival ultraviolet autofluorescence (CUVAF) area. RESULTS: Median change in SER and AL were −0.023 diopters (D)/year (interquartile range [IQR] = −0.062 to –0.008) and +0.01 mm/year (IQR = 0.000 to 0.026), respectively. Sex, baseline myopia, parental myopia, screen time, CUVAF, and PGS were significantly associated with myopic shift. Collectively, these factors accounted for approximately 20% of the variance in refractive error change, with screen time, CUVAF, and PGS each explaining approximately 1% of the variance. Four trajectories for total screen time were found: “consistently low” (n = 148), “consistently high” (n = 250), “consistently very high” (n = 76), and “increasing” (n = 150). Myopic shift was faster in those with “consistently high” or “consistently very high” screen time compared to “consistently-low” (P ≤ 0.031). For each z-score increase in PGS, changes in SER and AL increased by −0.005 D/year and 0.002 mm/year (P ≤ 0.045). Of the three types of screen time, only computer time was associated with myopic shift (P ≤ 0.040). There was no two- or three-way interaction effect between PGS, CUVAF, or screen time (P ≥ 0.26). CONCLUSIONS: Higher total or computer screen time, less sun exposure, and genetic predisposition are each independently associated with greater myopic shifts during young adulthood. Given that these factors explained only a small amount of the variance, there are likely other factors driving refractive error change during young adulthood. The Association for Research in Vision and Ophthalmology 2023-11-20 /pmc/articles/PMC10668617/ /pubmed/37982764 http://dx.doi.org/10.1167/iovs.64.14.28 Text en Copyright 2023 The Authors https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Clinical and Epidemiologic Research
Lee, Samantha Sze-Yee
Lingham, Gareth
Wang, Carol A.
Diaz Torres, Santiago
Pennell, Craig E.
Hysi, Pirro G.
Hammond, Christopher J.
Gharahkhani, Puya
Clark, Rosie
Guggenheim, Jeremy A.
Mackey, David A.
Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition
title Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition
title_full Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition
title_fullStr Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition
title_full_unstemmed Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition
title_short Changes in Refractive Error During Young Adulthood: The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition
title_sort changes in refractive error during young adulthood: the effects of longitudinal screen time, ocular sun exposure, and genetic predisposition
topic Clinical and Epidemiologic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668617/
https://www.ncbi.nlm.nih.gov/pubmed/37982764
http://dx.doi.org/10.1167/iovs.64.14.28
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