Evidence map›Paper›PMID 25636365›Full record

ArticleBMC public health2015

Household and area income levels are associated with smoking status in the Korean adult population.

Woo-Jun Yun, Jung-Ae Rhee, Sun A Kim, Sun-Seog Kweon, Young-Hoon Lee, So-Yeon Ryu, Soon-Woo Park, Dong Hyun Kim, Min-Ho Shin

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 37 citations in OpenAlex.

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  6. Exhaled Carbon Monoxide Level and Practices among Tobacco and Nicotine Adult Users in Klang Valley, Malaysia.International journal of environmental research and public health · 2023
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  10. Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach.International journal of environmental research and public health · 2019
    Article
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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

9 authors at 6 institutions in 1 country.

Woo-Jun YunDepartment of Preventive Medicine, Chonnam National University Medical School, Hak-1-dong, Dong-gu, Gwangju, 501-746, Republic of Korea. wjyun77@hanmail.net.
Jung-Ae RheeDepartment of Preventive Medicine, Chonnam National University Medical School, Hak-1-dong, Dong-gu, Gwangju, 501-746, Republic of Korea. jarhee@healthis.org.
Sun A KimDepartment of Preventive Medicine, Chonnam National University Medical School, Hak-1-dong, Dong-gu, Gwangju, 501-746, Republic of Korea. bbunisuna@hanmail.net.
Sun-Seog KweonDepartment of Preventive Medicine, Chonnam National University Medical School, Hak-1-dong, Dong-gu, Gwangju, 501-746, Republic of Korea. ujingogo@paran.com.
Young-Hoon LeeDepartment of Preventive Medicine & Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, 570-711, Republic of Korea. lyh8275@hanmail.net.
So-Yeon RyuDepartment of Preventive Medicine, Chosun University Medical School, Gwangju, 501-759, Republic of Korea. canrsy@chosun.ac.kr.
Soon-Woo ParkDepartment of Preventive Medicine, Catholic University of Daegu School of Medicine, Daegu, 705-718, Republic of Korea. parksw@cu.ac.kr.
Dong Hyun KimDepartment of Social Medicine, Hallym University College of Medicine, Chuncheon, 200-702, Republic of Korea. dhkims@hallym.ac.kr.
Min-Ho ShinDepartment of Preventive Medicine, Chonnam National University Medical School, Hak-1-dong, Dong-gu, Gwangju, 501-746, Republic of Korea. mhshinx@paran.com.
Chonnam National University · KRChonnam National University Hwasun Hospital · KRChosun University · KRDaegu Catholic University · KRHallym University · KRWonkwang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome previous studies have suggested that area-level characteristics have effects on smoking. The aim of this study was to evaluate the associations between household income and area income on smoking in Korean adults.

methodsThis study was based on the Korean Community Health Survey (KCHS) performed in South Korea, between September and November 2009. In total, 222,242 subjects (103,124 men and 119,118 women) were included in the analysis. Information on smoking status was collected using a standardized questionnaire. Income status was determined by monthly household income. Household income was categorized as: <1 million won; <2 million won; <3 million won; and ≥3 million won. Area-level income categorized as quartiles. Data were analyzed using multilevel regression models. The analysis was conducted separately urban and rural, by sex.

resultsThe lowest household income group had a higher risk of smoking than the highest household income group in both urban and rural areas for both men and women after adjusting for individual characteristics (urban men: odds ration [OR], 1.44; 95% confidence interval [CI], 1.36-1.53; rural men: OR, 1.33; 95% CI, 1.25-1.42; urban women: OR, 2.38; 95% CI, 2.06-2.76; rural women: OR, 1.51; 95% CI, 1.25-1.83). In men, the lowest area-level income group had a higher risk for smoking than the highest area-level income group in urban areas after adjusting for individual characteristics and household income (OR, 1.17; 95% CI, 1.02-1.33). In women, the lowest area-level income group had a lower risk for smoking than the highest area-level income group in rural areas after adjusting for individual characteristics and household income (OR, 0.52; 95% CI, 0.39-0.70). However, no association was observed between area-level income and smoking in rural areas for men or in urban areas for women.

conclusionsThe results showed that smoking is strongly associated with household income status in both men and women, and area-level income is partly associated with smoking. Effects of area-level income on smoking differed by sex and region. These findings suggest that area characteristics have contextual effects on health related behavior independent of individual characteristics.

Indexed as

AdultAgedAsian PeopleCross-Sectional StudiesFemaleHealth SurveysHumansIncomeMaleMiddle AgedPrevalenceRepublic of KoreaResidence CharacteristicsSex DistributionSmokingSocioeconomic Factors

Identifiers

PMID25636365
PMCPMC4314795
OpenAlexW2115241827

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.