• Yuan-Yuan Tang, Jun-Jie Liu, Hong-Jing Gu, Xiao-Shu Wang, and Chun-Mei Tan.
• Department of Nephroendocrinology, Guang'an People's Hospital, Guan'an, Sichuan, China.
• Medicine (Baltimore). 2024 Oct 25; 103 (43): e40099e40099.

AbstractThe aim of this study was to investigate whether leisure screen time (LST) increases the risk of diabetic retinopathy (DR) using the Mendelian randomization (MR). This study employed a two-sample MR analysis, utilizing 63 single-nucleotide polymorphisms as instrumental variables (IVs) to assess the causal relationship between LST and the risk of Dr. To ensure the robustness of the results, a multi-effect test was conducted to evaluate the validity of the IVs. Additionally, heterogeneity tests were performed to explore differences among sub-samples. Sensitivity analyses were also conducted to further validate our findings. The impact of LST on the risk of DR was observed in both inverse variance weighted (odds ratio [OR]: 1.22, 95% confidence interval [CI]: 1.04-1.43, P = 1.38 × 10-2) and weighted median (OR: 1.30, 95% CI: 1.05-1.61, P = 1.46 × 10-2) analyses. However, the MR-Egger method (OR: 0.66, 95% CI: 0.32-1.36, P = .273) did not find an increased risk of DR with increased LST. The pleiotropy test yielded a P-value of P = .09. Heterogeneity tests showed that the Q value for the inverse variance weighted method was 71.39 with a P-value of 0.17, indicating no significant heterogeneity. These results suggest that the IVs might be appropriate, and the analysis results could be robust. A large-scale MR analysis suggests a causal relationship between LST and the risk of Dr.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

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