Tan Caleb, Puran Allan I, Santina Ahmad, Yu Fei, Kitayama Ken, Tseng Victoria L, Coleman Anne L
Loma Linda University School of Medicine, Loma Linda, California, USA.
Department of Ophthalmology, Stein and Doheny Eye Institutes, University of California, Los Angeles, Los Angeles, California, USA.
Br J Ophthalmol. 2025 May 30;109(6):645-651. doi: 10.1136/bjo-2024-326229.
BACKGROUND/AIMS: Clinical risk factors for keratoconus (KCN) have previously been established. While the impact of the social determinants of health on the epidemiology and pathophysiology of KCN has been explored, further study of these associations is needed in large and diverse populations. This cross-sectional study determines how education level and income impact the prevalence of KCN in the USA using the National Institutes of Health 'All of Us' database.
Exposures included the highest level of education and annual household income. Multivariable logistic regression was used to examine the odds of KCN diagnosis at different levels of education and income, adjusting for sex assigned at birth, race, ethnicity, age, atopic conditions and eyecare access.
The overall prevalence of KCN was 0.17% (429/255 334). In multivariable logistic regression, individuals with more than a high school education had a greater risk of having KCN than those with less than a high school equivalent (: adjusted OR (aOR): 1.96; 95% CI 1.46 to 2.65; : aOR:2.19; 95% CI 1.61 to 3.00). There were no significant associations between income level and odds of keratoconus.
In the study population, higher education level was associated with an increased likelihood of keratoconus, while no correlation was seen between income and KCN prevalence. After adjusting for access to eye care in a secondary analysis, there was an association between increased education level and increased prevalence of KCN. Further studies are needed to fully understand the mechanism of this finding such as increased levels of dry eye secondary to computer vision syndrome in highly educated people.
背景/目的:圆锥角膜(KCN)的临床危险因素此前已得到确定。虽然健康的社会决定因素对KCN的流行病学和病理生理学的影响已被探讨,但在大规模多样化人群中对这些关联进行进一步研究是必要的。这项横断面研究使用美国国立卫生研究院的“我们所有人”数据库,确定教育水平和收入如何影响美国KCN的患病率。
暴露因素包括最高教育水平和家庭年收入。多变量逻辑回归用于检验在不同教育水平和收入水平下KCN诊断的几率,并对出生时指定的性别、种族、民族、年龄、特应性疾病和获得眼科护理的情况进行调整。
KCN的总体患病率为0.17%(429/255334)。在多变量逻辑回归中,接受过高中以上教育的个体患KCN的风险高于高中以下同等学历的个体(:调整后的比值比(aOR):1.96;95%置信区间1.46至2.65;:aOR:2.19;95%置信区间1.61至3.00)。收入水平与圆锥角膜的几率之间没有显著关联。
在研究人群中,较高的教育水平与圆锥角膜患病可能性增加相关,而收入与KCN患病率之间未见相关性。在二次分析中对获得眼科护理的情况进行调整后,教育水平提高与KCN患病率增加之间存在关联。需要进一步研究以充分理解这一发现的机制,例如高学历人群中因计算机视觉综合征导致的干眼水平增加。