Literature DB >> 33771516

Comparison of Myopic Progression before, during, and after COVID-19 Lockdown.

Pingjun Chang1, Bing Zhang1, Li Lin1, Ruru Chen1, Siping Chen1, Yune Zhao2, Jia Qu3.   

Abstract

Entities:  

Keywords:  COVID-19; Children and teenagers; Chinese students; Community containment; Lockdown; Myopia; Myopic progression; Presenting visual acuity; Refractive error; Reopening; Social policy

Year:  2021        PMID: 33771516      PMCID: PMC7986471          DOI: 10.1016/j.ophtha.2021.03.029

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


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Coronavirus disease 2019 (COVID-19) is an emerging infectious disease against which lockdown has been applied widely as a policy to stop its spread. Although many people believe that myopic progression has accelerated during the COVID-19 pandemic lockdown, evidence to support this presumption is lacking. The Myopia Screening Survey of Children and Teenagers in Schools is a cohort study conducted in 46 primary and junior high schools in Hangzhou, China. As shown in Figure S1 (available at www.aaojournal.org), the first participants were examined in early 2019, with examinations performed at approximately 6-month intervals thereafter. By now, 4 rounds (referred to as rounds 1–4) of the survey have been completed, with 3 periods (referred to as periods 1–3) between them. The COVID-19 lockdown was implemented during period 2. This study was approved by the ethics committee of the Eye Hospital of Wenzhou Medical University (identifier, 2019-083-K-80), and the study adhered to the tenets of the Declaration of Helsinki. Informed consent was obtained from all the participants and their parents or guardians. The study is supported by the National Natural Science Foundation of China (Grant No.81830027). The presenting visual acuity (VA) was defined as corrected VA in students with glasses and uncorrected VA in others. Refractive error was estimated by noncycloplegic autorefraction with a Tianle RM9000 autorefractometer (Ningbo Ming Sing Optical R&D Co, Ltd). The spherical equivalent refraction (SER) was calculated as sphere power +0.5 × cylinder power. Myopia of one eye was defined as SER of –0.5 diopter (D) or less, and high myopia was defined as SER of –6.0 D or less. If either eye of a student was myopic or highly myopic, the student was defined as having myopia or high myopia. Myopic progression was defined as a more negative SER in the same eye. The rate of SER change (rΔSER) was calculated as the difference in SER divided by the corresponding interval in months. Age was calculated in days and was analyzed as a continuous variable. Both age and age squared were adjusted in Tables S1 and S2 (available at www.aaojournal.org) because nonlinear associations between the analyzed variables (SER, myopic proportion, and rΔSER) and age were found (Fig 1B–D).
Figure 1

Line graphs showing the cross-sectional distribution of (A) the refractive state at each survey round, (B) the proportions of myopia and high myopia by age at each survey round, (C) the spherical equivalent refraction (SER) by age at each survey round, and (D) the age curves of the rate of SER change during each survey period. The curves in (A) are smoothed with kernel density estimates, and the curves in (B–D) are smoothed with fractional-polynomial prediction. CI = confidence interval.

Line graphs showing the cross-sectional distribution of (A) the refractive state at each survey round, (B) the proportions of myopia and high myopia by age at each survey round, (C) the spherical equivalent refraction (SER) by age at each survey round, and (D) the age curves of the rate of SER change during each survey period. The curves in (A) are smoothed with kernel density estimates, and the curves in (B–D) are smoothed with fractional-polynomial prediction. CI = confidence interval. As shown in Figure S2 (available at www.aaojournal.org), of the 44 187 students at baseline, 29 719 (59 438 eyes) were included in the analyses. In Table S3 (available at www.aaojournal.org), the proportions of myopia and high myopia at rounds 1 through 4 were 48.0%, 53.2%, 73.7%, and 67.9% and 1.3%, 1.9%, 2.8%, and 2.7% respectively, which showed a general upward trend, with a slight decrease at round 4. The mean rΔSER during periods 1, 2, and 3 was –0.030 D/month (95% confidence interval [CI], –0.031 to –0.029 D/month), –0.074 D/month (95% CI, –0.075 to –0.074 D/month), and 0.016 D/month (95% CI, 0.015–0.018 D/month). The changes in the refractive state were supported by the SER distribution in Figure 1A, revealing negative deviations at rounds 2 and 3 and a positive shift at round 4. In Table S2, compared with round 1, the covariate-adjusted (age, age squared, and gender) differences in myopic proportion and SER were not significant at round 2 (P = 0.162 and P = 0.195) but were significant at rounds 3 and 4 (P < 0.001); for high myopia, a significant increase at round 3 was found (P < 0.001). Younger age and male gender were associated with a lower risk of myopia. Consistent with Table S2, in Figure 1B, C, the distribution plots for myopia prevalence and SER of rounds 1 and 2 almost coincided, whereas the round 3 curves were remarkably more myopic, the round 4 curves were between the round 2 and 3 curves, and the differences among different rounds were more remarkable in younger students. In model I of Table S1, compared with period 1, the covariates (age, age squared, gender, SER, and presenting VA) adjusted rΔSER was significantly more negative during period 2 and more positive during period 3 (P < 0.001). If periods 2 and 3 were considered as 1 period in calculations (model II), the mean rΔSER was more negative than that during period 1 (difference, –0.009 D/month; 95% CI, –0.010 to –0.008 D/month; P < 0.001). Table S1 also indicates a better presenting VA related to slower myopic progression in all models (P < 0.001). As shown in Figure 1D, the difference in rΔSER across the 3 survey periods was more remarkable in younger students, which indicates that younger participants were more sensitive to lockdown with regard to myopic progression. The rate of myopic progression was greater during period 2, followed by an interestingly hyperopic progression during period 3. We speculate that this may be explained by accommodative spasm during lockdown. Corneal power, axial length, and ocular accommodation are the 3 vital factors in the refractive state. Corneal power is usually stable after 2 years of age in children, and currently it is believed that reduction in axial length does not occur. During the COVID-19 lockdown, the restricted outdoor time, increased screen time, and limited indoor space (in Hangzhou, most families reside in multistory apartment buildings) may have caused accommodative spasm in the students, which could present as increased myopic progression. At round 4, which was approximately half a year after the lockdown was lifted, the accommodative spasm reversed, and the refractive state consequently became more hyperopic. Model II of Table S1 indicates that myopic progression was greater, even allowing for the effect of accommodative spasm. We attempted to remove the effect of temporary accommodative spasm by considering periods 2 and 3 as 1 period in our calculations. The data suggest that both reversible accommodative spasm and permanent structural changes contributed to the greater rate of myopia progression during lockdown. Before our study, outdoor time had been investigated as a protective factor for myopia; theories to explain the underlying mechanism are focused mainly on light exposure and dopamine levels. We found that younger participants are more susceptible to myopic progression during lockdown. Two possible hypotheses for this age-related difference, are as follows. The first is that lifestyle changes were less pronounced in older students during lockdown. This theory is supported by a nationwide survey in China that the outdoor time decreased with more school years before college. The second is that younger participants may be more sensitive to the lifestyle changes during the lockdown with regard to myopic progression. Currently, evidence is limited concerning whether social policies can affect myopic progression. In Singapore, the prevalence of myopia among primary school students decreased after the National Myopia Prevention Program was implemented. Our study indicates that lockdown, as a social policy, can alter refractive state in a partially reversible manner. The large sample size and longitudinal follow-up are the major strengths of our study. Although the influence of accommodation may bias the outcomes, biometric examinations were not performed. Moreover, caution must be exercised when interpreting evidence in other populations who live in other areas. In conclusion, our study indicates accelerated myopic progression during the COVID-19 pandemic lockdown in children and teenagers. However, this myopic progression was reversed partially after lockdown, suggesting that both accommodative spasm and structural changes contributed to this accelerated rate. Myopic progression should be considered and managed when a lockdown is imposed in the future.
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