Brien Holden Vision Institute Limited, Sydney, NSW, Australia.
School of Optometry and Vision Science, University of New South Wales, Sydney, NSW, Australia.
Transl Vis Sci Technol. 2023 Feb 1;12(2):28. doi: 10.1167/tvst.12.2.28.
The assessment of myopigenic environmental risk factors such as near-work relies on subjective data. Although diaries and questionnaires on near-work show correlation to some degree, it remains unknown how they may correspond to ground truth. This is an important consideration because valid estimates of near-work have great utility for understanding the mechanisms by which dioptric demand drives excessive eye-growth, which is not yet entirely understood. To this end, we assessed a novel eye-tracking system to quantify near-work.
We compared subjective entries from diaries to objective data on accommodative demand acquired with a three-dimensional eye-tracker in 20 participants. Each test involved approximately one-hour exposure to ecological near-work environments. Furthermore, topographical dioptric demand maps were computed in retinal coordinates.
Our study suggests a frequent mismatch between objectively and subjectively labeled data of near-work tasks (concordance 74.6%). Objective and subjective estimates of dioptric demand showed a moderate correlation and were not significantly different (R2 = 0.59, P = .35). Instead, accommodative demand with an agreement between objective and subjective near-work labels showed a high correlation and were significantly different (R2 = 0.79, P = .016). The accumulated topographical dioptric demand of ecological near-work environments did not present myopigenic defocus stimuli to the retina periphery. Thus extreme close-up near-work presented peripheral defocus stimuli that have been proposed to curb excessive eye growth.
The proposed objective measurement method may provide improvements over subjective methods for estimating near-work parameters.
The topographic dioptric demand maps highlight a possible conflict of causal mechanisms of the two myopia models: "excessive near-work" and "peripheral optical defocus."
对近视发生的环境风险因素(如近距工作)的评估依赖于主观数据。尽管有关近距工作的日记和问卷调查在某种程度上显示出相关性,但尚不清楚它们与真实情况如何对应。这是一个重要的考虑因素,因为准确估计近距工作对于理解屈光度需求驱动眼轴过度生长的机制具有很大的作用,而目前这一机制尚未完全被理解。为此,我们评估了一种新的眼动追踪系统来量化近距工作。
我们比较了 20 名参与者的日记中的主观记录和使用三维眼动追踪器获取的调节需求的客观数据。每项测试涉及大约一小时的生态近距工作环境暴露。此外,还在视网膜坐标中计算了地形屈光度需求图。
我们的研究表明,客观和主观标记的近距工作任务数据之间经常存在不匹配(一致性为 74.6%)。客观和主观的屈光度需求估计之间存在中度相关性,且没有显著差异(R2=0.59,P=0.35)。相反,具有客观和主观近距工作标签一致的调节需求显示出高度相关性,且有显著差异(R2=0.79,P=0.016)。生态近距工作环境的累积地形屈光度需求并未向视网膜周边呈现近视发生性离焦刺激。因此,极度的近距离近距工作呈现了周边离焦刺激,这被认为可以抑制眼轴过度生长。
与主观方法相比,建议的客观测量方法可能更有助于估计近距工作参数。
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