Poor Uncorrected Visual Acuity and Association With Sleep Duration and Screen Time: A Dose–Response Relationship Study

Hu, Yueyang; Xu, Qiaoyi; Shi, Jingwei; Lin, Xinli; Fei, Junsong; Hu, Yuanchao; Mei, Songli; Wu, Xiaogang

doi:10.1177/15593258211042161

Cited by 4 publications

(5 citation statements)

References 41 publications

(49 reference statements)

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“…From our analysis, besides sleep duration, there are 72.3% and 76.6% of other factors that affect the visual acuity of the right eye and left eye. The study conducted among 2.419 students ages 14-18 years old in China [28] found that there is a relationship between sleep duration and poor visual acuity. According to the article [28] , the biological processes controlling sleep and ocular development overlap, which may contribute to the visual acuity condition.…”

Section: Resultsmentioning

confidence: 99%

“…The study conducted among 2.419 students ages 14-18 years old in China [28] found that there is a relationship between sleep duration and poor visual acuity. According to the article [28] , the biological processes controlling sleep and ocular development overlap, which may contribute to the visual acuity condition. The circadian rhythm regulates sleep through melatonin, which is controlled by mutual interactions with retinal dopaminergic circuits.…”

Section: Resultsmentioning

confidence: 99%

“…Dopamine and melatonin, which are both involved in ocular circadian physiology, also regulate ocular development. [28] Some theories mention dopamine signaling on the visual pathway receptors could influence visual function; also, the visual pathways activity, such as bright light and flickering light, can alter dopamine synthesis and release. [29] Another study conducted in 2014 concerning the relationship between sleep duration and exam scores in medical students revealed that out of the 20 respondents studied, the sleep duration was between 4.2 and 7 hours, while the average night sleep duration of all respondents was only 5.9 hours.…”

Section: Resultsmentioning

confidence: 99%

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Correlation Between Sleep Duration and Visual Acuity: A Single Center Study

Arianto,

Pasaribu,

Artati

2023

VSEHJ

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Introduction: Students, especially at the senior high school level, are increasingly required to be able to develop according to predetermined standards. When the duration of learning increases, unconsciously, the duration of using the eyes also increases while the sleep duration decreases. Purpose: This study aims to analyze the correlation between short duration of sleep and decreased visual acuity among senior high school students. Methods: A cross-sectional study design was conducted, in which the students filled out questionnaires and underwent visual examination. The population was all final-year students at one of Sidoarjo Senior High School in East Java, with the age range of 16-18 years. Two variables involved in this study were sleep duration and visual acuity of the left and right eye. The data will be analyzed using Spearman Rho correlation analysis to determine the cause and effect of the two variables studied. Results: The sample according to the gender was 45.5% male and 54.5% female. The sample according to the age range was 76.1% in 17 years old and 23.9 % in 18 years old. The correlation test results were 0.277 and 0.009 for the correlation coefficient and the significance value for the right eye. The results were 0.234 for the correlation coefficient and 0.028 for the significance value for the left eye. There was a significant correlation between sleep duration and the visual acuity reduction. Conclusions: This study reveals that less sleep duration of the final year students between 16-18 years old range may be associated with reduced visual acuity among students.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Correlation Between Sleep Duration and Visual Acuity: A Single Center Study

Arianto,

Pasaribu,

Artati

2023

VSEHJ

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“…At present, the number of myopia patients in China is increasing steadily. In fact, the incidence of myopia in 6-year-old children is 14.5%, but increases to 36.0% in primary school students, 71.6% in junior high school students, and 81.0% in senior high school students 26 , 27 , suggesting that myopia is in a progressive trait, causing serious damage to patients' vision and increasing burden to families and societies. Therefore, how to effectively prevent the onset of myopia and control the progression of myopia has become critical issues in this world.…”

Section: Discussionmentioning

confidence: 99%

Effects of Long-Term Wear and Discontinuation of Orthokeratology Lenses on the Eyeball Parameters in Children with Myopia

Zhu¹,

Yin²,

Li³

et al. 2023

Int. J. Med. Sci.

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Objective: To evaluate the effects of long-term wear and discontinuation of the orthokeratology lenses (Orth-K) on the biological parameters of eyeballs in children with myopia. Methods: In this prospective study, a total of 308 subjects with myopia were randomized to receive Orth-K (n = 154) or single vision spectacles (SVS) (n = 154) for 12 months followed by a 1-month withdrawal period. The axial length (AL), the central corneal thickness (CCT), the anterior chamber depth (ACD) and the central lens thickness (CLT) were assessed at the baseline, 6 months, 12 months, and 13 months (1-month after lens withdrawal). Results: A total of 279 subjects completed the 13-month follow-up (142 in Orth-K group and 137 in SVS group). No statistical difference was noted in AL, CCT, ACD and CLT between the two groups at the baseline (all p > 0.05). However, compared with the baseline, the AL from the two groups became elongated 12 months after wearing Orth-K or SVS. The increase of AL in Orth-K group was 0.22 ± 0.11 mm, significantly smaller than 0.35 ± 0.08 mm in SVS group (p < 0.05). In addition, CCT in Orth-K group was 544.26 ± 11.69 µm at 12 months, significantly thinner than 550.49 ± 12.13 µm in SVS group (p < 0.05). Interestingly, the change in CCT between the baseline and 1-month after withdrawal of the lens was not statistically different in either group (all p > 0.05). Furthermore, at 12-months, CLT in Orth-K group was 3.35 ± 0.21 mm, significantly thicker than 3.31 ± 0.15 mm at baseline and thicker than 3.30 ± 0.05 mm in SVS group at 12 months (all p < 0.05). Lastly, ACD was not statistically different between Orth-K and SVS groups at any time point (p > 0.05). Conclusion: Orthokeratology lenses can effectively retard axial elongation, reversibly reduce CCT, increase CLT in myopic children, but have no obvious effect on ACD, indicating that Orth-K may significantly retard myopia without noticeable myopia rebound after interruption of Orth-K.

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“…The logarithm of the minimum angle of resolution (LogMAR) chart by ophthalmologists was used ( 24 ). LogMAR (using the Standard for Logarithmic Visual Acuity Charts, GB/T 11533-2011 of the Standardization Administration of the People's Republic of China) is the “gold standard” used by majority of clinical trials or interventions ( 25 , 26 ). Poor visual acuity was defined as a UCDVA (LogMAR) < 5.0.…”

Section: Methodsmentioning

confidence: 99%

Effects of physical activity and use of digital devices on visual acuity in children and adolescents during the COVID-19 pandemic: A cross-sectional study

Zheng

Shi

et al. 2022

Front. Public Health

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PurposeTo determine the association between poor visual acuity, the use of digital devices and physical activity (PA) during the COVID-19 pandemic.MethodsA total of 327,646 Chinese children and adolescents were included in the analysis using a cluster random sampling method; this is a case-control study, of those 144,708 children and adolescents with poor visual acuity were included in the case group, while 182,938 who did not have poor visual acuity were included in the control group. A logistic regression model was used to assess the contribution of PA and the use of digital devices to poor visual acuity.ResultsA total of 144,708 children and adolescents experienced poor visual acuity during the COVID-19 pandemic; 54.8% were male, and 55.2% live in rural areas. Compared to controls, children and adolescents with poor visual acuity exhibited more time for the use of digital devices (4.51 ± 2.44 vs. 3.79 ± 2.34 for cases and controls, respectively; P < 0.001) and PA (3.07 ± 0.92 vs. 2.85 ± 1.00 for cases and controls, respectively; P < 0.001). During the COVID-19 pandemic, risk factors related to poor visual acuity among children and adolescents included the use of digital devices (OR 1.135; 95% CI 1.132–1.139), and PA (OR 1.269; 95%CI 1.259–1.278). The results of interaction analysis show that for children and adolescents aged 12 to 17, the positive association between the use of digital devices and poor visual acuity decreased. The interaction effect between PA and digital devices is 0.987.ConclusionsChildren and adolescents were at risk of poor visual acuity during the COVID-19 pandemic. Extended use of the digital devices increased the risk of poor visual acuity, especially for children aged 6–11 years. But the risk of poor visual acuity among children and adolescents decreases as the time spent on PA increases.

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Poor Uncorrected Visual Acuity and Association With Sleep Duration and Screen Time: A Dose–Response Relationship Study

Cited by 4 publications

References 41 publications

Correlation Between Sleep Duration and Visual Acuity: A Single Center Study

Correlation Between Sleep Duration and Visual Acuity: A Single Center Study

Effects of Long-Term Wear and Discontinuation of Orthokeratology Lenses on the Eyeball Parameters in Children with Myopia

Effects of physical activity and use of digital devices on visual acuity in children and adolescents during the COVID-19 pandemic: A cross-sectional study

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