学龄前儿童喂养方式与屈光测量的关系

Eşay Kıran Yenice, C. Kara
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引用次数: 0

摘要

目的:比较3 ~ 6岁学龄前儿童喂母乳、喂配方奶和喂母乳对屈光不正的影响。材料与方法:对88例儿童166只眼进行评价。根据喂养方式,将单纯母乳喂养的患者分为第一组,将母乳与配方奶混合喂养的患者分为第二组。回顾性比较两组结果。结果:88例患儿行详细眼科检查,其中男性40例(45.5%),女性48例(54.5%)。本研究纳入的儿童中,有27.3% (n=24)的出生年龄超过30岁,96.6% (n=85)的出生体重超过2500克。球形、圆柱形和球形等效(SE)值的平均值±标准差为1.61±1.46 D;ⅰ组为-0.98±0.69 D, 1.12±1.43 D, 1.00±2.57 D;II组分别为-0.90±0.81 D和0.55±2.72 D (p=0.507;圆柱p=0.299, SE p=0.799)。虽然母乳喂养组近视屈光发生率较低,但两组之间近视屈光发生率无显著差异(p= 0.507)。结论:不同喂养方式的小鼠平均屈光不全存在差异,但本研究各组间无显著差异(p<0.050)。有必要用更大的样本量进行更多的研究来证实这一发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship Between Feeding Pattern and Measurements of Refraction in Preschool Children
Objective: To compare the effect of feeding human milk as opposed to formula and human milk on refractive error in preschool children aged 3 to 6 years. Material and Methods: One hundred and seventy six eyes of 88 children were evaluated. According to the feeding pattern, the patients who fed only breast-fed were classified as Group I, and the patients who fed with combination of breast-fed and formula were classified as Group II. Results were retrospectively compared between groups. Results: A total of 88 children undergone detailed ophthalmological examinations, of which 40 (45.5 %) were males and 48 (54.5 %) were females. Maternal birth age of 27.3% (n=24) of the children included in the study was over 30 years and birth weight of 96.6% (n=85) was over 2500 grams. The mean ± standard deviation of the spherical, cylindrical and spherical equivalent (SE) values were 1.61±1.46 D; -0.98 ± 0.69 D and 1.12±1.43 D in group I and 1.00±2.57 D; -0.90 ± 0.81 D and 0.55 ± 2.72 D in group II, respectively (p=0.507 for spherical; p=0.299 for cylindrical and p=0.799 for SE). Although myopic refraction was less common in the breastfed group, there was no significant difference in myopic refraction between the groups (p= 0.507). Conclusion: In conclusion, mean refractive error were different according to feeding pattern, but this study did not show significant differences between groups (p<0.050). There is a need to confirm this finding by performing more studies with a larger sample sizes.
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