2017 ‘한국인 혈당 참조표준’을 이용한 행정구역별 남녀별 공복혈당 데이터의 특성 및 산포성 비교
Comparison of Characteristics and Dispersion of Fasting Blood Glucose Data by Administrative Districts and Gender Difference Using the 2017 ‘Korean Blood Glucose Reference Standard’
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초록
본 조사의 목적은 국민건강보험공단에서 공개한 ‘한국인 혈당 참조 표준’의 원자료를 이용하여 나이 그룹별 95% 분포 상한값과 하한값의 차를 조사하고 이 데이터들에 대한 평균값 변화와 산포 정도를 분석하는 것이다. 그리고 이 데이터를 이용하여16개 행정구역 간 경향과 남녀간 차이를 분석하는 것이다. 또한본 조사의 결과가 NHIS에서 제시한 상대표준불화도와 관련성이 있는지를 분석하였다. 본 조사에서 분석한 나이 그룹별 공복혈당의 95% 분포 상한값과 하한값의 차이를 이용한 산포성 분석에서는 행정구역별로 의미 있는 차이와 경향을 보여주었고, 남녀 평균치 간에서도 유의한 차이를 보여주었다(P＜0.05). NHIS에서 발표한 공복 혈당 측정값의 남녀간 차이는 행정구역별, 나이그룹별 비교에서 모두 유의한 차이(P＜0.001)를 보여주어 남녀 간 혈당 참고치 재산정 필요성이 인정되었다. NHIS 가 발표한 행정구역별 상대표준불확도와 본 조사에서 분석한 산포성 그리고 측정수와는 유의한 상관성이 관찰되지 않았다. 그러나 측정 평균치와는 높은 상관성을 보여주었다(R2=0.95). 또한 참조표준의 적용과 불확도 평가에 대한 추가적인 연구가 필요할 것으로 사료된다.
Abstract
This study aimed to investigate the differences in the upper and lower limits of the 95% distribution of fasting blood glucose (FBG) by age groups. We also analyzed the changes in the mean values and dispersion of the data using the Korean Blood Glucose Reference Standard raw data published by the National Health Insurance Service (NHIS). Furthermore, the trends among 16 administrative districts were analyzed and any gender differences were determined. We also assessed whether the study results correlated with the relative standard uncertainty, as published by the NHIS. On the dispersion analysis using the differences between the upper and lower limits of the 95% distribution of FBG by age group, there were significant differences across gender and administrative districts (P＜0.05). The gender differences in FBG measurements, as published by the NHIS, were significant across different administrative districts and age groups (P＜0.001). This confirmed the need to recalculate the blood glucose reference standards for men and women. No significant correlation was observed between the relative standard uncertainty, as published by NHIS, and the dispersion and number of measurements analyzed in this study. However, it showed a high correlation with the measured mean value (R2=0.95). Therefore, further research on the reference standard and uncertainty is needed.
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