Williams Katie M, Hammond Christopher J
Section of Academic Ophthalmology, School of Life Course and Population Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
Invest Ophthalmol Vis Sci. 2025 Jun 5;66(7):4. doi: 10.1167/iovs.66.7.4.
The dramatic rise in myopia prevalence over the last century is most likely a function of modern-day childhood - a reduction in time spent outdoors and increasing time on near tasks. The widespread use of handheld digital devices, especially in young children, is of concern - both in terms of myopia risk but additionally that excessive use may be linked to sociodemographic factors and could more widely negatively affect health outcomes. Refractive error is a highly heritable trait, and genetic factors are the leading determinant of refractive status variation within a particular environment. Better understanding of these genetic factors could enable prediction of future myopia status, provide novel therapeutic avenues, and personalised treatment. Monitoring axial length growth of increasing interest, likely offering better identification of pre-myopia status and a more accurate correlate of risk of future visual complications. Prediction models are increasing in utility - comprising the aforementioned factors and artificial intelligence within this area is likely to increase. Population-based interventions, such as increased time outdoors, to reduce the incidence and/or slow myopia progression have shown some success, and combined approaches hold future promise. Children developing high myopia at a young age are most at risk of future complications, yet to date are a under researched cohort. Likewise, progression and potential modification of risk in young adults requires more research. The adoption of improved technology into this field to better quantify outdoor exposure and near activities alongside ocular growth, choroidal thickness and peripheral refractive changes in all mentioned cohorts is needed.
在过去一个世纪中,近视患病率急剧上升,这很可能是现代儿童生活方式改变的结果——户外活动时间减少,近距离用眼时间增加。手持数字设备的广泛使用,尤其是在幼儿中的使用,令人担忧——这不仅关乎近视风险,而且过度使用可能与社会人口学因素有关,还可能对健康结果产生更广泛的负面影响。屈光不正具有高度遗传性,在特定环境中,遗传因素是屈光状态变化的主要决定因素。更好地了解这些遗传因素能够预测未来的近视状态,提供新的治疗途径,并实现个性化治疗。监测眼轴长度的增长越来越受到关注,这可能有助于更好地识别近视前期状态,并更准确地关联未来视力并发症的风险。预测模型的实用性不断提高——包括上述因素,该领域的人工智能应用可能会增加。基于人群的干预措施,如增加户外活动时间,以降低近视发病率和/或减缓近视进展,已取得了一些成效,综合方法有望在未来发挥作用。年幼时就发展为高度近视的儿童未来发生并发症的风险最高,但迄今为止,这一群体的研究较少。同样,年轻人近视进展及风险的潜在改变也需要更多研究。需要采用改进技术,以便在所有上述人群中更好地量化户外活动和近距离活动,以及眼轴生长、脉络膜厚度和周边屈光变化。