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

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

doi:10.1177/15593258211042161

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

Dose Response. 2021 Oct 11;19(4):15593258211042161. doi: 10.1177/15593258211042161. eCollection 2021 Oct-Dec.

Authors

Yueyang Hu¹, Qiaoyi Xu², Jikang Shi³, Xinli Lin⁴, Junsong Fei¹, Yuanchao Hu⁴, Songli Mei¹, Xiaogang Wu⁵

Affiliations

¹ Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China.
² School of Public Health, Fudan University, Shanghai, China.
³ Department of Epidemiology and Health Statistics, School of Public Health, Jilin University, Changchun, China.
⁴ Department of Women and Children Health, School of Public Health, Jilin University, Changchun, China.
⁵ Department of School Health, Center for Disease Control and Prevention in Jilin Province, Changchun, China.

Abstract

Background: We aimed to investigate the prevalence of poor uncorrected visual acuity and the difference among students with different ages and residential areas in the Northeast of China. The relationships between screen time, nighttime sleep duration, and poor uncorrected visual acuity would be explored.

Methods: It was a cross-sectional study using multi-stage stratified random sampling method to recruit participants. 2149 students have completed questionnaires and underwent visual acuity examinations. The dose-response curve method was applied to examine the non-linear associations between sleep duration and poor uncorrected visual acuity under different screen time subgroups.

Results: The overall prevalence of poor uncorrected visual acuity and severe poor uncorrected visual acuity was 84.7% and 63.3%, respectively. The dose-response curve showed the odds ratios (ORs) of sleep duration for the poor uncorrected visual increased relatively slowly when screen time <1 hour, then increased dramatically in screen time ≥1 hours. The ORs of sleep time and poor uncorrected visual acuity showed a U-shaped change trend among students with 2 or more hours of screen time every day.

Conclusion: We found associations between nighttime sleep duration and poor uncorrected visual acuity in adolescents. However, these associations were not consistent across all screen time categories.

Keywords: adolescent; poor uncorrected visual acuity; prevalence; screen time; sleep duration.