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논문 기본 정보

자료유형
학술저널
저자정보
정진영 (한림대학교) 김동현 (한림대학교) 김건엽 (경북대학교) 류소연 (조선대학교) 이순영 (아주대학교) 박용순 (한림대학교 춘천성심병원)
저널정보
한국보건정보통계학회 보건정보통계학회지 보건정보통계학회지 제42권 제3호
발행연도
2017.8
수록면
241 - 249 (9page)
DOI
https://doi.org/10.21032/jhis.2017.42.3.241

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Objectives: The purpose of this study is to check accuracy of height, weight and body mass index (BMI) and to verify usefulness of the obesity rate based on the self-reported height and weight. Methods: Self-reported height and weight values of those who took part in the 2016 Community Health Survey in 3 areas (2,198 persons) were investigated and measured. The mean difference between the self-reported and the measured height, weight and BMI was estimated with paired t-test and the Pearson correlation coefficient. Percent agreement (%) and Kappa Statistics of BMI were calculated per group (<18.5, 18.5-24.9, 25-29.9, ≥30) and validity (sensitivity, specificity and predictive factor) of the self-reported obesity rate (BMI ≥25) was estimated. Results: The mean values between the self-reported and the measured values were compared, and it was found that height was over-reported, weight and BMI was under-reported (p<0.05). The correlation coefficient between the height, weight and BMI was all 0.9 or higher (p<0.05). When it comes to the mean difference in height and weight per group (4 groups), both sexes in height group 4 under-reported the height and male in weight group 1 over-reported the weight. BMI % agreement per BMI group was 88.3% in male and 85.4% in female, and Kappa Statistics was 0.779 (95% CI, 0.76-0.80) in male and 0.673 (95% CI, 0.65-0.70) in female. The sensitivity of self-reported BMI based on BMI 25 was 82.7% in male and 67.8% in female, showing a higher value in male. Obesity prevalence based on the self-reported values was 87.1% and 71.3% of that based on the measured values in male and female respectively, and it got lower among elderly people who are 60 years old or more. Conclusions: In community-based epidemiological studies, height, weight, and obesity rate should be compared and evaluated based on measurement data.

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