한국안광학회지 (Journal of Korean Ophthalmic Optics Society)

한국안광학회 (The Korean Ophthalmic Optics Society)
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지리정보체계를 이용한 눈 건강수준의 시각적 분포도

The Visual Distribution Map Based on the Geographic Information System for Ocular Health State

  • 김효진 (백석대학교 보건학부 안경광학과) ;
  • 김희진 (가톨릭대학교 의생명.건강과학과) ;
  • 박창원 (가톨릭대학교 의생명.건강과학과) ;
  • 이은희 (극동대학교 안경광학과) ;
  • 김희주 (한양대학교 도시공학과) ;
  • 류정묵 (건양대학교 안경광학과)
  • Kim, Hyojin (Dept. of Visual Optics, Division of Health Science, Baekseok University) ;
  • Kim, Hyi Jin (Dept. of Biomedicine and Health Sciences, The Catholic University of Korea) ;
  • Park, Chang Won (Dept. of Biomedicine and Health Sciences, The Catholic University of Korea) ;
  • Lee, Eun-Hee (Dept. of Visual Optics and Graduate School of Health Science, Far East University) ;
  • Kim, Hee Ju (Dept. of Urban Planning, Hanyang University) ;
  • Ryu, Jungmook (Dept. of Optometry, Konyang University)
  • 투고 : 2014.07.21
  • 심사 : 2014.12.13
  • 발행 : 2014.12.31
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초록

목적: 한국 중고등학생을 대상으로 전국 16개 시도의 지역별 시력 분포를 나타내는데 대표적인 시각적 분포기법인 지리정보체계(geographic information system, GIS)를 활용하였다. 방법: 2009년부터 2011년도의 국민건강영양조사(NHANES)의 자료를 이용하여 인구 기반 단면 연구로 디자인하였다. 나안시력의 정보가 제공된 만 13~18세의 총 1,049명을 대상으로 하였고, 남자가 549명(52.3%), 여자가 500명(47.7%) 이었다. 지역은 전국을 16개 시도로 구분하였고, 각 지역별 평균 시력을 활용하였다. 공간분석 방법으로 GIS 기법을 활용하여 지역별 시력수준의 격차를 나타내었다. 결과: 연구 대상자의 평균 나안시력은 성별에 따라 유의한 차이를 보였다(p=0.001). 지역별 남학생과 여학생 그룹의 평균 시력은 16개 시도에서 통계적으로 유의한 차이가 없었다. 중고등학생의 지역별 시력 격차를 시각적 분포기법으로 나타내고자 GIS를 이용하여 지도화 하였다. 결론: 지역별 시력의 격차를 나타내는데 GIS 기법은 시각적으로 효과적인 분포도를 제공하였다.

Purpose: This study utilized the Geographic Information System (GIS) which is one of the representative methods for describing visual distribution, to show the distribution of visions of middle and high school students in 16 cities or provinces in Korea. Method: The data of National Health and Nutrition Examination Survey (NHANES) were analysed from 2009 to 2011 and designed a population-based cross-sectional study. The subjects were total 1,049 students at the age of 13 to 18 and uncorrected vision was provided. Male subjects were 549 (52.3%) and female subjects were 500 (47.7%). Subjects were divided into 16 cities or provinces and average vision of regions were analysed. the differentials of vision among the regions were analysed by as a spatial analysis method. Results: The average uncorrected vision were significant difference by sex (p=0.001). However male and female student groups' average vision indicated no statistically significant difference by region in those 16 cities and provinces. In order to show the differentials of middle and high school students' vision by region with a visual distribution method, the GIS was utilized for mapping. Conclusions: The differentials of vision among regions by GIS provide a visually effective distribution map.

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