Evidence map›Paper›PMID 29349939›Full record

ArticleJournal of Korean medical science2018

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.

Ikhan Kim, Jinwook Bahk, Yeon Yong Kim, Jeehye Lee, Hee Yeon Kang, Juyeon Lee, Sung Cheol Yun, Jong Heon Park, Soon Ae Shin, Young Ho Khang

Abstract readComparative Study
In one paragraph

Article in Journal of Korean medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ikhan KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6428-4159
Jinwook BahkInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-7715-9955
Yeon Yong KimBig Data Steering Department, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-2179-8931
Jeehye LeeDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9522-1919
Hee Yeon KangInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8530-8087
Juyeon LeeThe People's Health Institute, Seoul, Korea.ORCID https://orcid.org/0000-0001-6235-6043
Sung Cheol YunDepartment of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8503-109X
Jong Heon ParkBig Data Steering Department, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0002-4749-5878
Soon Ae ShinBig Data Steering Department, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0001-8858-0801
Young Ho KhangDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9585-8266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe 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).

methodsBetween 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.

resultsThe 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.

conclusionBased 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.

Indexed as

Health SurveysAdultAgedDatabases, FactualFemaleHumansMaleMiddle AgedPrevalenceRepublic of KoreaSmokingSocioeconomic FactorsHealth SurveysIncomeKoreaSample SizeSmokingSocioeconomic Factors

Identifiers

PMID29349939
PMCPMC5777918

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.