KSPM
Search
- Page Path
- HOME > Search
Research Support, Non-U.S. Gov't
- Reliability and Data Integration of Duplicated Test Results Using Two Bioelectrical Impedence Analysis Machines in the Korean Genome and Epidemiology Study.
- Boyoung Park, Jae Jeong Yang, Ji Hyun Yang, Jimin Kim, Lisa Y Cho, Daehee Kang, Chol Shin, Young Seoub Hong, Bo Youl Choi, Sung Soo Kim, Man Suck Park, Sue K Park
- J Prev Med Public Health. 2010;43(6):479-485.
- DOI: https://doi.org/10.3961/jpmph.2010.43.6.479
- 5,352 View
- 93 Download
- 1 Crossref
-
Abstract
PDF - 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 2007 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. -
Summary
Citations
Citations to this article as recorded by
- Nutritional Consequences and Management After Gastrectomy
Jae-Moon Bae
Hanyang Medical Reviews.2011; 31(4): 254. CrossRef
Original Article- The Study of Body Fat Percent Measured by Bioelectric Impedance Analyzer in a Rural Adult Population.
- Baeg Ju Na, Yo Sub Park, Byung Hwan Sun, Hae Sung Nam, Jun Ho Shin, Seok Joon Sohn, Jin Su Choi
- Korean J Prev Med. 1997;30(1):31-44.
- 2,054 View
- 19 Download
-
Abstract
PDF
- Obesity usually is defined as the presence of and abnormally amount of adipose tissue. In many epidemiologic study, obesity as a health risk factor has been estimated by Body Mass Index(BMI) in general. This study was conducted to review of body fat percent measured by Bioelectric impedance analyzer as a estimator of obesity in a rural adult population. The study subjects were 421 men and 664 women who reside in the area on the Juam lake. They were sampled by multistage cluster sampling. Their mean age was 59 years old. Body fat percent increased with age, but BMI decreased with age in this study. Body fat percent was more larger at female and elder on the same BMI. The correlation coefficient between with body fat percent and body mass index was low (r=0.4737). Body fat percent was explained by not only BMI but also sex and age (r(2)=0.63). The result suggested that it is inadequate for BMI only to estimate obesity about elderly person who reside in the rural community. The relation of body fat percent and body mass index of this study agreed with the preceding knowledges and studies in general.
-
Summary
First
Prev
