Evidence map›Paper›PMID 39006127›Full record

ArticleLancet regional health. Americas2024

Smoking patterns by birth cohort in Argentina: an age-period-cohort population-based modeling study.

M Victoria Salgado, Yoonseo Mok, Jihyoun Jeon, Mohammed Jaffri, Jamie Tam, Theodore R Holford, Luz M Sánchez-Romero, Rafael Meza, Raul Mejia

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Modeling the Impact of Smoking on Mortality in Argentina From 2000 to 2100. A Maximum Potential Reduction in Premature Mortality Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  4. Article
  5. MPOWER Tobacco Control Policies' Effects on Lip and Oral Cavity Cancer Trends in MERCOSUR Countries.International journal of environmental research and public health · 2025
    Article
  6. 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

9 authors.

M Victoria SalgadoCentro de Estudios de Estado y Sociedad, Sánchez de Bustamante 27, Ciudad de Buenos Aires, Argentina.
Yoonseo MokDepartment of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, British Columbia, Canada.
Jihyoun JeonDepartment of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, USA.
Mohammed JaffriDepartment of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, USA.
Jamie TamDepartment of Health Policy and Management, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
Theodore R HolfordYale School of Public Health, 60 College Street, New Haven, CT, USA.
Luz M Sánchez-RomeroDepartment of Oncology, Cancer Prevention and Control Program, Georgetown University Medical Center, 3800 Reservoir Rd. NW, Washington D.C., USA.
Rafael MezaDepartment of Integrative Oncology, BC Cancer Research Institute, 675 West 10th Avenue, Vancouver, British Columbia, Canada.
Raul MejiaCentro de Estudios de Estado y Sociedad, Sánchez de Bustamante 27, Ciudad de Buenos Aires, Argentina.

Funding

Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
Health and economic impact analysis of a reduced nicotine cigarette policy on vulnerable populationsK01DA056424 · NIDA · YALE UNIVERSITY · PI Jamie Pearl Tam · 2022 to 2026
$829k
NCI NIH HHS U01 CA253858NIDA NIH HHS K01 DA056424
6 · The paper itself

Abstract

Background: Argentina's smoking rates remain high. We aim to estimate Argentina age-specific histories of smoking initiation, cessation, prevalence, and intensity by birth-cohort to inform policy interventions. Methods: Modeling study. Data from three Argentinian nationally representative surveys conducted from 2004 to 2018 (n = 268,193) were used to generate smoking histories. The Cancer Intervention and Surveillance Modeling (CISNET) Network Lung Working Group age, period, and cohort modeling approach was used to calculate smoking initiation and cessation probabilities, ever and current smoking prevalence, and intensity (cigarettes per day, CPD) by age, sex, and birth cohort from 1950 to 2018. Findings: Ever smoking prevalence increases with age up to 25 and decreases with birth cohorts after 1990. Smoking initiation peaks between 15 and 18 years of age. Among females, initiation probabilities increased until the 1955 cohort, reaching a second peak in 1980-85 cohorts and declining thereafter. Males have higher initiation probabilities than females. Among males, initiation has decreased since the 1950 birth cohort, with a slight increase around the 1985 cohort. Current smoking prevalence has been decreasing since the 1960 birth cohort, except for a peak in 1980-85 cohorts. Cessation increases with age. Mean CPD increases with age and peaks around age 40, appearing flat in females since the 1985 cohort. Interpretation: Recent birth cohorts seem to be experiencing lower rates of initiation, stable rates of quitting and lower current and ever smoking prevalence. The stabilization of cessation probabilities and mean CPD indicate the need to strengthen existing tobacco control measures and advance new ones. Funding: NIH/NCI U01CA253858 grant.

Indexed as

ArgentinaLatin AmericaModelingSmoking trendsTobacco control

Identifiers

PMID39006127
PMCPMC11246057

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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.