Evidence map›Paper›PMID 39649728›Full record

ArticleTobacco induced diseases2024

Age-period-cohort analysis of smoking prevalence trends among career military personnel in South Korea.

Sunju Jung, Heewon Kang, Sung-Il Cho

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

3 authors.

Sunju JungDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Heewon KangInstitute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Sung-Il ChoDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study evaluated smoking trends among career military personnel in South Korea. After a tobacco tax increase in 2015, the tobacco control program for career military personnel expanded significantly. This study explores long-term smoking trends among career military personnel through age-period-cohort (APC) analysis within the context of targeted tobacco control policies.

methodsThis secondary data analysis utilized data from 12052 individuals aged 19--54 years, identified as career military personnel in the Korea Community Health Survey (KCHS) from 2008 to 2022. APC analysis with the intrinsic estimator (IE) method was conducted to address multicollinearity and accurately assess the contributions of age, period, and birth cohort to smoking prevalence.

resultsSmoking prevalence significantly decreased among career military personnel, from 46.2% in 2008 to 34.1% in 2022. The highest prevalence of smoking was initially observed in the age group of 22-24 years. Although overall prevalence declined, a slight increase was observed in the age group of mid-30s to early 40s, suggesting that smoking behavior varied across age groups. A significant decrease occurred between 2014 and 2016, with individuals born in the 1970s exhibiting the highest smoking prevalence, and those born after 1980 demonstrating a notably lower smoking prevalence.

conclusionsAlthough smoking prevalence has declined, the distinct age, period, and cohort characteristics of career military personnel necessitate tailored tobacco control policies that consider the various aspects of military life.

Indexed as

age-period-cohort analysisintrinsic estimatormilitary personnelsmoking prevalenceSouth Korea

Identifiers

PMID39649728
PMCPMC11624574

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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.