TY - JOUR
T1 - Changes in Refractive Error During Young Adulthood
T2 - The Effects of Longitudinal Screen Time, Ocular Sun Exposure, and Genetic Predisposition
AU - Lee, Samantha Sze Yee
AU - Lingham, Gareth
AU - Wang, Carol A.
AU - Torres, Santiago Diaz
AU - Pennell, Craig E.
AU - Hysi, Pirro G.
AU - Hammond, Christopher J.
AU - Gharahkhani, Puya
AU - Clark, Rosie
AU - Guggenheim, Jeremy A.
AU - Mackey, David A.
N1 - Publisher Copyright:
© 2023 The Authors.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - genetics
KW - myopia
KW - polygenic score (PGS)
KW - screen time
KW - the Raine Study
KW - young adults
UR - https://www.scopus.com/pages/publications/85177468084
U2 - 10.1167/iovs.64.14.28
DO - 10.1167/iovs.64.14.28
M3 - Article
C2 - 37982764
AN - SCOPUS:85177468084
SN - 0146-0404
VL - 64
JO - Investigative Ophthalmology and Visual Science
JF - Investigative Ophthalmology and Visual Science
M1 - 28
ER -