Evidence map›Paper›PMID 28372354›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2017

Income Differences in Smoking Prevalences in 245 Districts of South Korea: Patterns by Area Deprivation and Urbanity, 2008-2014.

Ikhan Kim, Jinwook Bahk, Tae-Ho Yoon, Sung-Cheol Yun, Young-Ho Khang

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ikhan KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-6428-4159
Jinwook BahkInstitue of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.ORCID 0000-0002-7715-9955
Tae-Ho YoonDepartment of Preventive and Occupational Medicine, Pusan National University School of Medicine, Yangsan, Korea.ORCID 0000-0002-4984-0778
Sung-Cheol YunDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID 0000-0001-8503-109X
Young-Ho KhangDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-9585-8266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to measure income differences in smoking prevalence at the district level and to investigate correlations among area deprivation, smoking prevalence, and income differences in smoking prevalence, stratified by urbanity.

methodsData were pooled from the Community Health Survey data of South Korea between 2008 and 2014. The age-standardized prevalence of smoking and its interquintile income differences were calculated. We conducted correlation analyses to investigate the association of the deprivation index with smoking prevalence and interquintile differences in smoking prevalence.

resultsAcross 245 districts, the median prevalence of smoking in men was 45.9% (95% confidence interval [CI], 43.4 to 48.5%), with an interquartile range (IQR) of 4.6% points. In women, the median prevalence was 3.0% (95% CI, 2.4 to 3.6%) and IQR was 1.6% points. The median interquintile difference in smoking prevalence was 7.4% points (95% CI, 1.6 to 13.2% points) in men and 2.7% points (95% CI, 0.5 to 4.9% points) in women. The correlation coefficients for the association between the deprivation index and smoking prevalence was 0.58, 0.15, -0.22 in metropolitan, urban, and rural areas, respectively, among men, and 0.54, -0.33, -0.43 among women. No meaningful correlation was found between area deprivation and interquintile difference in smoking prevalence. The correlation between smoking prevalence and interquintile difference in smoking prevalence was more evident in women than in men.

conclusionsThis study provides evidence of geographical variations in smoking prevalence and interquintile difference in smoking prevalence. Neither smoking prevalence nor the deprivation index was closely correlated with interquintile income difference in smoking prevalence. Measuring inequalities in smoking prevalence is crucial to developing policies aimed at reducing inequalities in smoking.

Indexed as

AdultAgedFemaleHealth SurveysHumansIncomeMaleMiddle AgedPrevalenceRepublic of KoreaSmokingSocioeconomic FactorsUrban PopulationGeographyIncomeKoreaSmokingSocioeconomic factors

Identifiers

PMID28372354
PMCPMC5398336

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Registered trials

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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.