Reliability and Data Integration of Duplicated Test Results Using Two Bioelectrical Impedence Analysis Machines in the Korean Genome and Epidemiology Study

박보영; 양재정; 양지현; 김지민; Lisa Y.Cho; 강대희; 신철; 홍영습; 최보율; 김성수; 박만석; Sue K. Park

추천

검색

자료유형: 학술저널

저자정보: 박보영 양재정 양지현 김지민 Lisa Y.Cho 강대희 신철 홍영습 최보율 김성수 박만석 Sue K. Park

저널정보: 대한예방의학회 예방의학회지 예방의학회지 제43권 제6호

발행연도: 2010.1

수록면: 479 - 485 (7page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

Objectives: The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. Methods: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects’ body compositions between October and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. Results: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low R2 values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age,sex, weight and height were most ideal (all R2>0.9). Conclusions: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height

#Electric impedance #Statistical model #Regression

참고문헌 (10)

참고문헌 신청

Ahn YO / 2005 / Manual for Medical Statistics / Seoul National University Press : 105 ~ 113

Altman DG / 1992 / Practical Statistics for Medical Research / Chapman & Hall : 409 ~ 419

Bangdiwala SI / 2003 / Coordination of international multicenter studies: governance and administrative structure / Salud Publica Mex 45 (1) : 58 ~ 66

Biau DJ / 2008 / Provider and center effect in multicenter randomized controlled trials of surgical specialties: an analysis on patient-level data / Ann Surg 247 (5) : 892 ~

Center for Genomic Science / / National Institute of Health, KCDC. Korean Genome and Epidemiology Study (KoGES)

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

Boyoung Park

소속기관 한양대학교 의과대학

주요연구분야 의약학 > 기초의학 > 예방의학·직업환경의학 의약학 > 임상의학 > 일반 외과학

논문수 8 이용수 31

양재정

소속기관 대한예방의학회