J Korean Med Sci.
2018 Feb;33(6):e44. 10.3346/jkms.2018.33.e44.
Comparison of District-level Smoking Prevalence and Their Income Gaps from Two National Databases: the National Health Screening Database and the Community Health Survey in Korea, 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: 2450462
- DOI: http://doi.org/10.3346/jkms.2018.33.e44
Abstract
- BACKGROUND
We compared age-standardized prevalence of cigarette smoking and their income gaps at the district-level in Korea using the National Health Screening Database (NHSD) and the Community Health Survey (CHS).
METHODS
Between 2009 and 2014, 39,049,485 subjects participating in the NHSD and 989,292 participants in the CHS were analyzed. The age-standardized prevalence of smoking and their interquintile income differences were calculated for 245 districts of Korea. We examined between-period correlations for the age-standardized smoking prevalence at the district-level and investigated the district-level differences in smoking prevalence and income gaps between the two databases.
RESULTS
The between-period correlation coefficients of smoking prevalence for both genders were 0.92-0.97 in NHSD and 0.58-0.69 in CHS, respectively. When using NHSD, we found significant income gaps in all districts for men and 244 districts for women. However, when CHS was analyzed, only 167 and 173 districts for men and women, respectively, showed significant income gaps. While correlation coefficients of district-level smoking prevalence from two databases were 0.87 for men and 0.85 for women, a relatively weak correlation between income gaps from the two databases was found.
CONCLUSION
Based on two databases, income gaps in smoking prevalence were evident for nearly all districts of Korea. Because of the large sample size for each district, NHSD may provide stable district-level smoking prevalence and its income gap and thus should be considered as a valuable data source for monitoring district-level smoking prevalence and its socioeconomic inequality.
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