Department of Ophthalmology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
The Fourth School of Clinical Medicine of Nanjing Medical University, Nanjing, China.
Invest Ophthalmol Vis Sci. 2019 Jan 2;60(1):73-81. doi: 10.1167/iovs.18-24799.
To determine the prevalence and associated risk factors for total, corneal, and residual astigmatism and to evaluate the relations between components of astigmatism in Chinese preschool children.
In the population-based, cross-sectional Nanjing Eye Study, children were measured for noncycloplegic refractive error using an autorefractor and for biometric parameters using an optical low-coherent reflectometry. Data from right eyes were analyzed to calculate the prevalence of astigmatism using various cutpoints (0.5, 1.0, and 1.5 diopters [D]) and for determining risk factors using logistic regression models. Relations between astigmatism components were assessed using Spearman correlation coefficients (ρ).
Of 1817 children (mean ± SD of age: 54.8 ± 3.5 months, 54.2% male), the median (1st and 3rd quartile) of total, corneal, and residual astigmatism (vectorial difference between total and corneal astigmatism) was -0.25 (-0.50, 0), -1.06 (-1.49, -0.72), and -0.92 (-1.23, -0.62) D and their prevalence rate 1.0 D or more was 14.2%, 56.1%, and 44.2%, respectively. With-the-rule was the most common type in total astigmatism (75.2%) and in corneal astigmatism (88.2%) while against-the-rule was predominant in residual astigmatism (75.6%). A negative correlation was found between corneal J0 and internal J0 (ρ = -0.74, P < 0.001) and between corneal J45 and internal J45 (ρ = -0.87, P < 0.001). Based on compensation factor (CF), defined as the minus ratio of internal astigmatism (vectorial difference between total and anterior corneal astigmatism) and anterior corneal astigmatism, internal J0 compensated for total J0 in varying degrees (CF: 0.1-2) in 91.5% cases, while that percentage for J45 component was 77.2%. In univariate logistic regression model, older age was significantly associated with total astigmatism (odds ratio [OR] = 0.96 for per-month increase, P = 0.03), and larger axial length-corneal radius ratio was significantly associated with higher risk of residual astigmatism (OR = 2.28 for per unit increase, P = 0.03).
The compensatory role of internal astigmatism on reducing corneal astigmatism was prominent in preschool children. Larger axial length-corneal radius ratio was significantly associated with higher risk of residual astigmatism.
确定总散光、角膜散光和残余散光的患病率和相关危险因素,并评估中国学龄前儿童散光各成分之间的关系。
在基于人群的、横断面南京眼科研究中,使用自动折射仪测量非睫状肌麻痹屈光不正,使用光学低相干反射仪测量生物测量参数。对右眼数据进行分析,使用各种截距(0.5、1.0 和 1.5 屈光度 [D])计算散光患病率,并使用逻辑回归模型确定危险因素。使用 Spearman 相关系数(ρ)评估散光成分之间的关系。
在 1817 名儿童(平均年龄 ± 标准差:54.8 ± 3.5 个月,54.2%为男性)中,总散光、角膜散光和残余散光(总散光和角膜散光之间的矢量差)的中位数(1 四分位数和 3 四分位数)分别为-0.25(-0.50,0)、-1.06(-1.49,-0.72)和-0.92(-1.23,-0.62)D,其 1.0 D 或更高的患病率分别为 14.2%、56.1%和 44.2%。在总散光(75.2%)和角膜散光(88.2%)中,顺规散光最为常见,而在残余散光(75.6%)中,逆规散光更为常见。角膜 J0 与内部 J0(ρ=-0.74,P<0.001)和角膜 J45 与内部 J45(ρ=-0.87,P<0.001)之间存在负相关。基于补偿因子(CF),定义为内部散光(总散光和前角膜散光之间的矢量差)与前角膜散光的负数比,内部 J0 以不同程度(CF:0.1-2)补偿了总 J0,在 91.5%的情况下,J45 成分的百分比为 77.2%。在单变量逻辑回归模型中,年龄较大与总散光显著相关(每增加一个月,优势比[OR]为 0.96,P=0.03),眼轴长度-角膜半径比越大与残余散光的风险越高显著相关(每增加一个单位,OR 为 2.28,P=0.03)。
在学龄前儿童中,内部散光对降低角膜散光具有显著的补偿作用。较大的眼轴长度-角膜半径比与残余散光的风险增加显著相关。