Evidence map›Paper›PMID 36935129›Full record

ArticleAmerican journal of preventive medicine2023

Smoking Disparities by Level of Educational Attainment and Birth Cohort in the U.S.

Pianpian Cao, Jihyoun Jeon, Jamie Tam, Nancy L Fleischer, David T Levy, Theodore R Holford, Rafael Meza

Open access · bronzeAbstract read
In one paragraph

Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 57 citations in OpenAlex.

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  10. Educational attainment and employment status in lung cancer patients: a nationwide study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

7 authors at 5 institutions in 2 countries.

Pianpian CaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan. Electronic address: caop@umich.edu.
Jihyoun JeonDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Jamie TamDepartment of Health Policy and Management, School of Medicine, Yale School of Public Health, New Haven, Connecticut.
Nancy L FleischerDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
David T LevyDepartment of Oncology, Georgetown University, Washington, District of Columbia.
Theodore R HolfordDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Rafael MezaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada.
University of Michigan · USBC Cancer Agency · CAGeorgetown University · USYale New Haven Health System · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Project 3: Modeling the Impact of Tobacco Control Policies on Polytobacco Use and Associated Health DisparitiesU54CA229974 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Mendez Emilien · 2018 to 2026
$39.2M
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
Comparative Modeling of Lung Cancer Prevention and Control PoliciesU01CA199284 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2015 to 2019
$8.4M
NCATS NIH HHS UL1 TR001863NCI NIH HHS U01 CA199284NCI NIH HHS U01 CA253858NCI NIH HHS U54 CA229974
6 · The paper itself

Abstract

introductionLittle is known about how U.S. smoking patterns of initiation, cessation, and intensity vary by birth cohort across education levels or how these patterns may be driven by other demographic characteristics.

methodsSmoking data for adults aged ≥25 years was obtained from the National Health Interview Surveys 1966-2018. Age-period-cohort models were developed to estimate the probabilities of smoking initiation, cessation, intensity, and prevalence by age, cohort, calendar year, and gender for education levels: ≤8th grade, 9th-11th grade, high school graduate or GED, some college, and college degree or above. Further analyses were conducted to identify the demographic factors (race/ethnicity and birthplace) that may explain the smoking patterns by education. Analyses were conducted in 2020-2021.

resultsSmoking disparities by education have increased by birth cohort. In recent cohorts, initiation probabilities were highest among individuals with 9th-11th-grade education and lowest among individuals with at least a college degree. Cessation probabilities were higher among those with higher education. Current smoking prevalence decreased over time across all education groups, with important differences by gender. However, it decreased more rapidly among individuals with ≤8th grade education, resulting in this group having the second lowest prevalence in recent cohorts. This may be driven by the increasing proportion of non-U.S. born Hispanics in this group.

conclusionsAlthough smoking is decreasing by cohort across all education groups, disparities in smoking behaviors by education have widened in recent cohorts. Demographic changes for the ≤8th-grade education group need special consideration in analyses of tobacco use by education.

Indexed as

Birth CohortSmokingAdultEducational StatusHumansPrevalenceTobacco SmokingTobacco Use

Identifiers

PMID36935129
PMCPMC10177656
OpenAlexW4319934833

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.