美国近视患病率

D. Rey-Rodríguez, J. Moreno-Montoya, C. Alvarez-Peregrina
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引用次数: 0

摘要

近年来,近视在世界范围内的患病率显著上升。这项研究工作的目的是根据以下类别考虑美国近视的综合患病率:年龄、种族、性别和地区。这样的研究也将与科学文献中的报告相协调。对以下数据库中发现的文献进行了系统的综述:枸杞子、embase和丁香。目的是检索包含近视患病率信息的横断面研究。为了找出综合患病率,使用了Freeman Tukey的固定或随机效应的双正弦方法。文献中确定了15项研究,包括来自美国、巴西和巴拉圭的45.349人;0-96岁受试者的研究。近视的患病率从1.2%到48%不等,男性和女性之间的差异分别为18,4%[95%CI:13,9-22,8]和19.8%[95%CI[18,9-20,7]。全球近视患病率在农村地区为1,4%[95%CI:1,3,5],在城市地区为14,3%[95%CI:13,3-15,2]。同时,还发现了一些基于种族的差异。在白人15,4%[95%CI:14,4-16,3]、非洲裔20,6%[95%CI:19,6-21,5]和其他种族(西班牙语、非西班牙语和非裔美国人)2,9%[95%CI:1,97-3,82]的情况下。农村地区学龄前儿童近视患病率最低(14,1%)。与其他室内活动的发展形成鲜明对比的是,屏幕等电子产品的使用和暴露时间可能存在关系,因为室外暴露是减缓近视的环境因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence of Myopia in America
In recent years, prevalence of myopia in the world has increased significantly. The aim of this research work is to consider the combined prevalence of myopia in America, according to the following categories: age, race, gender, and region. Such research will be done also in harmony with the reports found in scientific literature. A systematic review of the literature found in the following databases was carried out: medline, embase, and lilacs. The aim was searching cross-sectional studies containing myopia prevalence information. To find the combined prevalence, the double arc sine method of fixed or random effects by Freeman-Tukey was used. 15 research studies that included 45.349 individuals from the United States, Brazil, and Paraguay, were identified in the literature; studies of subjects aged 0-96 years old. The prevalence of myopia varied from 1,2% to 48% with differences between male and female of 18,4% [95% CI: 13,9-22,8] and 19,8% [95% CI: 18,9-20,7], respectively. The global prevalence of myopia in rural areas was 1,4% [95% CI: 1,3-1,5], and in urban areas 14,3% [95% CI: 13,3-15,2]. At the same time, some differences were identified based on race. In the case of the white race 15,4% [95% CI: 14,4-16,3], Afrodescendants 20,6% [95% CI: 19,6-21,5] and other races (Spanish, non-Spanish, and African American) 2,9% [95% CI: 1,97-3,82]. The lowest figures of myopia prevalence were identified in rural areas in pre-school children (14,1%). There is, probably, a relationship in use and exposure time to electronic items such as screens, in contrast with the development of other indoor activities as outdoor exposure as an environmental factor to slow myopia.
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