日光
医学
正视
人口学
折射误差
置信区间
气温日变化
人口
队列
季节性
眼科
动物科学
儿科
验光服务
气象学
数学
统计
眼病
地理
内科学
光学
社会学
环境卫生
生物
物理
作者
Der‐Chong Tsai,Nicole Huang,Shao‐You Fang,Chih‐Chien Hsu,Pei-Yu Lin,Shing‐Yi Chen,Yiing-Mei Liou,Allen W. Chiu,Catherine Jui-Ling Liu
标识
DOI:10.1136/bjophthalmol-2017-311642
摘要
PURPOSE: To investigate the relationship between seasonal variation of daylight length and spherical equivalent (SE) progression among the schoolchildren participating in the Myopia Investigation Study in Taipei. METHODS: We used the first-year data from grade 2 schoolchildren who completed all the baseline and two follow-up examinations (n=6790). There were two 6-month intervals between visits over winter and summer, respectively. For each interval, we calculated average daily daylight length using data from Taiwan's Central Weather Bureau and measured 6-month SE progression rate based on right eye cycloplegic autorefraction data. The midpoint month was defined as the month midway between two consecutive visits. RESULTS: By the midpoint month, average daily daylight length was the shortest in December (671±7 min/day) and the longest (785±7 min/day) in June, and SE progression rate was the fastest (-0.23±0.48 D) in December and the slowest (-0.17±0.51 D) in June. Significant variation of SE progression rate with season can be observed only among the schoolchildren (n=1905) whose midpoint months for the winter and summer intervals were December and June (winter rate, -0.25±0.47 D; summer rate, -0.17±0.49 D; p<0.001). Of those, the summer progression rate was approximately 80%, 65% and 61.5% of that measured in winter for myopic (p=0.252), emmetropic (p=0.012) and hyperopic (p=0.012) schoolchildren, respectively. CONCLUSION: Our data demonstrate a seasonal variation of minus shift in refractive error among Taipei schoolchildren who had significant daytime fluctuation during the 1-year follow-up. Of those, non-myopic children had significant and more pronounced variation of SE progression than myopic children.
科研通智能强力驱动
Strongly Powered by AbleSci AI