Potential causal associations between leisure sedentary behaviors, physical activity, sleep traits, and myopia: a Mendelian randomization study

Abstract

Background Myopia is the most prevalent refractive error and a growing global health concern that significantly affects visual function. Researchers have recently emphasized considerably on the influence of lifestyle on myopia incidence and development. This study investigates the relationship between leisure sedentary behaviors (LSB)/physical activity (PA)/sleep traits and myopia. Methods LSB, PA, and sleep trait-associated genetic variants were used as instrument variables in a Mendelian randomization (MR) study to examine their causal effects on myopia. Summary genome-wide association studies (GWASs) statistical data for LSB and PA were obtained from UK Biobank, and the data of sleep traits was obtained from UK Biobank, UK Biobank and 23andMe, and FinnGen. We used summary statistics data for myopia from MRC IEU. The MR analyses was performed using the inverse variance-weighted (IVW), MR-Egger, weighted median, and MR Pleiotropy RESidual Sum and Outlier methods. Results Computer use was genetically predicted to increase the myopia risk [IVW odds ratio (OR) = 1.057; 95% confidence interval (CI), 1.038–1.078; P = 7.04 × 10− 9]. The self-reported moderate-to-vigorous physical activity (MVPA) (IVW OR = 0.962; 95% CI, 0.932–0.993; P = 1.57 × 10− 2) and television watching (IVW OR = 0.973; 95% CI, 0.961–0.985, P = 1.93 × 10− 5) were significantly associated with a lower myopia risk. However, genetically predicted sleep traits or accelerometer-measured physical activity had no significant associations with myopia. Conclusion Our results indicated that computer use is a risk factor for myopia, whereas television watching and MVPA may protect against myopia. These findings shed new light on possible strategies for reducing the prevalence of myopia.

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“…These biases can affect the accuracy and reliability of the reported data (68). Despite these limitations, self-reported questionnaires can directly reflect respondents' experiences and remain a widely used data collection instrument due to their practicality and relatively high reliability (69). However, future studies should consider incorporating objective measures, such as accelerometers, to obtain more accurate assessments of LSB and PA. Fourthly, although MR helps to reduce confounding and reverse causation, there is still a potential for pleiotropy, where genetic variants influence the outcome through pathways other than the exposure of interest.…”

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“…These biases can affect the accuracy and reliability of the reported data (68). Despite these limitations, self-reported questionnaires can directly reflect respondents' experiences and remain a widely used data collection instrument due to their practicality and relatively high reliability (69). However, future studies should consider incorporating objective measures, such as accelerometers, to obtain more accurate assessments of LSB and PA. Fourthly, although MR helps to reduce confounding and reverse causation, there is still a potential for pleiotropy, where genetic variants influence the outcome through pathways other than the exposure of interest.…”