Evidence map›Paper›PMID 35414561›Full record

ArticleBMJ open2022

Gender and tobacco epidemic in South Korea: implications from age-period-cohort analysis and the DPSEEA framework.

Sera Kim, Garam Byun, Garam Jo, Dahyun Park, Sung-Il Cho, Hannah Oh, Rockli Kim, S V Subramanian, Sungha Yun, Kyungwon Oh and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Article
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  7. Disease accumulation across birth cohorts in South Korea.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Age, Period, and Cohort Analysis of Smoking Intensity Among Current Smokers in Malaysia, 1996-2015.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
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

12 authors.

Sera KimInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0002-9213-2080
Garam ByunInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0002-2603-6250
Garam JoDivision of Cardiovascular Disease Research, Department for Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju, Republic of Korea.ORCID 0000-0002-8186-8121
Dahyun ParkInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0002-9200-6754
Sung-Il ChoDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0003-4085-1494
Hannah OhInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0002-8368-3032
Rockli KimInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0002-9864-3957
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, MA 02138, USA.ORCID 0000-0003-2365-4165
Sungha YunDivision of Health and Nutrition Survey and Analysis, Bureau of Chronic Disease Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.ORCID 0000-0002-3624-4512
Kyungwon OhDivision of Health and Nutrition Survey and Analysis, Bureau of Chronic Disease Prevention and Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.ORCID 0000-0001-8097-6078
Jong-Tae LeeInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.ORCID 0000-0002-8510-3054
Min-Jeong ShinInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea mjshin@korea.ac.kr.ORCID 0000-0002-8952-4008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo understand a 20-year trend of gender-specific smoking prevalence among adults in South Korea.

designAge-period-cohort analysis using the intrinsic estimator method was applied to examine the separate contribution of age, period and cohort effect on smoking prevalence. The Driving Force-Pressure-State-Exposure-Effect-Action (DPSEEA) framework was used to explain the observed smoking trends by mapping potential determinants and to address policy implications.

settingGeneral adult population in South Korea.

participants34 828 men and 43 632 women who aged 19-78 years, were not currently pregnant and were without a prior diagnosis of cardiovascular disease or cancer. OUTCOME MEASURES: Gender-specific current smoking prevalence using the 1998-2017 Korea National Health and Nutrition Examination Survey.

resultsOur results showed gender-specific age and birth cohort effects. More specifically, the smoking prevalence peaked at their mid-20s (prevalence rate ratio (PRR): 1.54, 95% CI: 1.49 to 1.59) and cohort born in 1959-1963 (PRR: 1.63, 95% CI: 1.57 to 1.70) and then decreased in men. On the other hand, in women, the smoking prevalence consistently increased until their mid-40s (PRR: 1.53, 95% CI: 1.27 to 1.84) and in recent birth cohort groups (PRR in 1994-1998 cohort: 1.55, 95% CI: 1.13 to 2.13). The period effects declined from 1998-2002 to 2003-2007, following increasing fluctuations in both genders. The smoking-DPSEEA framework showed the absence of policy actions to target female smokers and emphasised a proactive approach that tackles the upstream causes for smoking in women.

conclusionsMen and women are clearly in different phases of the smoking epidemic in Korean population, and gender-tailored policies should be implemented.

Indexed as

Tobacco ProductsAdultCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPregnancyPrevalenceRepublic of Koreaepidemiologyhealth policypublic health

Identifiers

PMID35414561
PMCPMC9006811

What OpenQuestion holds

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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.