Epidemiol Health.
2015;37:e2015001. 10.4178/epih/e2015001.
Effect change of obesity on diabetes depending on measurement: self-reported body mas index from 2012 Community Health Survey vs. directly measured from the Korea National Health and Nutrition Examination Survey
- Affiliations
-
- 1Department of Epidemiology Graduate School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, Korea. scho@snu.ac.kr
- 2School of Health Science, Jungwon University, Goesan, Korea.
- 3Nursing Science Research Institute and College of Nursing, Chung-Ang University, Seoul, Korea.
- KMID: 2380638
- DOI: http://doi.org/10.4178/epih/e2015001
Abstract
OBJECTIVES
Obesity is a well-recognized risk factor for type 2 diabetes mellitus (DM) among young and middle-aged adults in South Korea. To elaborate on the association between obesity and Diabetes mellitus (DM), subjective data from self-reporting survey or objective data from health examination is generally used. This study was conducted to validate the change of association from using these different measurements.
METHODS
Community Health Survey data and Korea National Health and Nutrition Examination Survey data, as subjective and objective data respectively, were used. Population, resident in Seoul and over 45 aged, were selected for the study and the association between obesity and DM were defined by using multivariate logistic regression model.
RESULTS
In subjective data, DM prevalence was 12.4% (male, 14.7; female, 10.6) and obesity prevalence was 26.0% (male, 29.2; female, 23.4). Whereas, in objective data, DM prevalence was 15.0% (male, 17.8; female, 12.9), and obese population was 32.4% (male, 34.4; female, 30.8). Based on the effect of obesity on DM prevalence from each data, using objective data increased the impact of obesity. Difference of relative risk of obesity between from subjective data and from objective was bigger in female than male and statistically significant.
CONCLUSIONS
The differences of association pattern between subjective and objective data were found, due to higher obesity prevalence in objective data, and discrepancies of socio-economic status. These discrepancies could be inevitable Therefore we have to face them proactively, and understand the different aspect of various variables from different measurement.
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