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Objective: To analyze the the teenagers refractive state of its refractive elements, to understand the possible impact on adolescent myopia of refractive elements, to predict the refractive state of the refractive elements of youth. Methods: an object of study: March 2010 -2011 in January Optometry Center of Hunan Provincial People's Hospital Outpatient Collection refractive errors and the number of cases 726 (1452 eyes). Including 380 men, 346 women, aged 4 to 18 years old, with an average age of 10.37 ± 2.92 years, were excluded from organic disease, normal development of the eye, who had not received intraocular and extraocular surgery treatment. The 2 check method: testing the basic growth and development of height (H) cm, weight (W) kg measuring corneal thickness, anterior chamber depth (ACD), minimum corneal refractive force (K1) and the maximum corneal refractive force (K2) vitreous cavity length (VL), lens thickness (LT), axial length (AL), refractive status, visual acuity, corrected visual acuity. 3 packet statistics: diopter, axial length, age groups, using one-way ANOVA analysis meaningful only SNK method Q test. Left and right eyes compared using a paired t-test, a group t test was used to compare between the sexes, and the results were analyzed. Differences in analysis of refractive elements as well as the relationship between the refractive elements and multiple linear regression analysis to establish the axial length, the the related refractive elements and growth factors relationship between the regression equation. P lt; 0.05 was considered statistically significant. Results: In the 4-6 age group, diopter AL, VL, related the diopter with other refractive elements without. AL and VL correlation. K1 and K2 correlation. High myopia group the AL value differences between the other groups (p lt; 0.05), hyperopia group and no significant the AL value differences to face the eye group as well as the low myopia group. 2 in the 7-12 age group, there are positive correlation between the existence of a negative correlation between the AL and ACD between AL K1, K2. Minimum corneal curvature, maximum curvature of the cornea are highly correlated, that is a positive correlation between K1 and K2. 3 in the 13-18 age group, diopter AL, VL, the diopter with other refractive elements no related. AL VL, ACD correlation. AL value of the low degree of hyperopia with a high degree of hyperopia and high myopia group difference was significant (p lt; 0.05), moderate hyperopia group with low AL value in high myopia group difference was significant (p lt ; 0.05). High hyperopia group and a low degree of hyperopia, emmetropia and low AL value in high myopia group difference was significant (p lt; 0.05). AL, VL height, weight and development of boys 44 to 12 age group is a positive correlation. 4 to 12-year-old group the girls AL.VL with height, weight positively correlated. 4 to 6 years old AL group of men and women as well as the growth and development of other refractive elements are basically the same. Development of a group of 7 to 12-year-old male AL significantly faster than women, and men corneal curvature values ??(K1, K2) is significantly smaller than females. 13 to 18-year-old group, there was no significant difference in men and women. Stepwise regression analysis get the height to AL.ACD.LT.VL. and refraction of prediction equation: Y = 0.994 0.942X1 0.917X2 0.973X3-0.016X4 0.231X5 0.221X6 (Y represents AL X1 said VL, X2 LT, X3, said ACD.X4 diopter, X5 tall, X6 age, VL standardized regression coefficient 0.909, the the ACD standardized regression coefficients for 0.168, the LT standardized regression coefficient 0.233) Conclusion: refraction and ocular The match elements closely related to axial length (AL) of 4 to 18-year-old children can predict the vitreous cavity length (VL), lens thickness (LT), and anterior chamber depth (ACD), height and diopter.
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