Sleep duration and age-related macular degeneration: a cross-sectional and Mendelian randomization study

Frontiers in Aging Neuroscience

Neuroscience

Zhouyang Liu¹  Shizhen Lei²  Haihui Li³ 

[1] Department of Neurology, The Third People’s Hospital of Chengdu, Chengdu, Sichuan, China;Department of Ophthalmology, The First Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China;Department of Ophthalmology, Yan’an People’s Hospital, Yan’an, Shaanxi, China;

关键词: sleep;    age-related macular degeneration;    cross-sectional study;    Mendelian randomization;    causal effect;   

DOI  :  10.3389/fnagi.2023.1247413

 received in 2023-06-26, accepted in 2023-08-08,  发布年份 2023

来源: Frontiers

【 摘 要 】

PurposeTo investigate the association between sleep duration and age-related macular degeneration (AMD).DesignCross-sectional study, bidirectional two-sample Mendelian randomization (MR). For cross-sectional analysis, we used survey data of 5,481 participants aged ≥40 years from the 2005 to 2008 National Health and Nutrition Examination Survey (NHANES). For MR analysis, we used sleep- and AMD-associated genome-wide association studies (GWAS) data involving large populations.MethodsThe association between sleep duration and AMD was assessed using logistic regression models. For MR analysis, the primary approach for MR analysis was the inverse-variance weighted (IVW) method.ResultsIn cross-sectional analysis, after adjusting for multiple covariates, short sleep duration (SSD) was found to be associated with increased risk of early AMD [odds ratio (OR) = 1.364, P = 0.036). MR analysis supported the results of cross-sectional analysis: SSD increases the risk of early AMD (β = 0.102, IVW-P = 0.003).ConclusionOur findings provide the evidence supporting the association between sleep deficiency and higher risk of AMD. Further studies are required to confirm our findings and elucidate the mechanisms underlying this association.

【 授权许可】

Unknown   
Copyright © 2023 Lei, Liu and Li.