J Korean Med Sci.
2018 Jan;33(1):e3. 10.3346/jkms.2018.33.e3.
Prevalence of Overweight and Income Gaps in 245 Districts of Korea: Comparison Using the National Health Screening Database and the Community Health Survey, 2009–2014
- Affiliations
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- 1Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea. yhkhang@snu.ac.kr
- 2Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.
- 3Department of Public Health, Keimyung University, Daegu, Korea.
- 4Big Data Steering Department, National Health Insurance Service, Wonju, Korea.
- 5The People's Health Institute, Seoul, Korea.
- 6Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
- 7Gwanak Branch Office, National Health Insurance Service, Seoul, Korea.
- KMID: 2399160
- DOI: http://doi.org/10.3346/jkms.2018.33.e3
Abstract
- BACKGROUND
We compared age-standardized overweight prevalence and their income gaps at the level of district in Korea using the National Health Screening Database (NHSD) and the Community Health Survey (CHS).
METHODS
We analyzed 39,093,653 subjects in the NHSD and 926,580 individuals in the CHS between 2009 and 2014. For the comparison of body mass index (BMI) distributions, data from 26,100 subjects in the Korea National Health and Nutrition Examination Survey (KNHANES) were also analyzed. We calculated the age-standardized overweight prevalence and its interquintile income gap at the district level. We examined the magnitudes of the between-period correlation for age-standardized overweight prevalence. The differences in overweight prevalence and its income gap between the NHSD and the CHS were also investigated.
RESULTS
The age-adjusted mean BMI from the CHS was lower than those from the NHSD and the KNHANES. The magnitudes of the between-period correlation for overweight prevalence were greater in the NHSD compared to the CHS. We found that the district-level overweight prevalence in the NHSD were higher in all districts of Korea than in the CHS. The correlation coefficients for income gaps in overweight prevalence between the two databases were relatively low. In addition, when using the NHSD, the district-level income inequalities in overweight were clearer especially among women than the inequalities using the CHS.
CONCLUSION
The relatively large sample size for each district and measured anthropometric data in the NHSD are more likely to contribute to valid and reliable measurement of overweight inequality at the district level in Korea.
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