Evidence map›Paper›PMID 35511741›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2022

Short- and Long-Term Cigarette and Tobacco Abstinence Among Daily and Nondaily Older Smokers.

Jaqueline C Avila, Carla J Berg, Jason D Robinson, Jasjit S Ahluwalia

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Systematic Review of Predictors of Vaping Cessation Among Young People.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Pooled it
  2. Observational
  3. Cigarette Use Among Older Adults: A Forgotten Population.American journal of public health · 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

4 authors.

Jaqueline C AvilaCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA.ORCID 0000-0003-2019-6453
Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Jason D RobinsonDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-1588-9637
Jasjit S AhluwaliaCenter for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Using wearables and EMA to examine the links between cannabis and depressionP20GM130414 · NIGMS · BROWN UNIVERSITY · PI Tyler Blake Wray · 2019 to 2026
$22.0M
Regulatory Impact on Vape Shops and Young Adults' Use of ENDS - Diversity SupplementR01CA215155 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J · 2018 to 2022
$3.4M
Market Research to Predict Emerging Tobacco Product Use in Diverse Young AdultsR01CA179422 · NCI · EMORY UNIVERSITY · PI BERG, CARLA J · 2013 to 2017
$2.7M
Smoke-free Air Coalitions in Georgia and Armenia: A Community Randomized TrialR01TW010664 · FIC · EMORY UNIVERSITY · PI BERG, CARLA J, KEGLER, MICHELLE C · 2017 to 2021
$1.5M
Emory-Georgia Clean Air Research & Education (CARE) ProgramD43ES030927 · NIEHS · EMORY UNIVERSITY · PI BERG, CARLA J, CAUDLE, WILLIAM MICHAEL · 2019 to 2025
$1.2M
Assessing IQOS Marketing Influences and Consumer Behavior in Israel: Implications for the USR01CA239178 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J, LEVINE, HAGAI · 2019 to 2021
$1.2M
FIC NIH HHS R01 TW010664NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA179422NCI NIH HHS R01 CA215155NCI NIH HHS R01 CA239178NIEHS NIH HHS D43 ES030927NIGMS NIH HHS P20 GM130414
6 · The paper itself

Abstract

introductionThere is mixed evidence regarding whether older (vs. younger) smokers are more or less likely to quit smoking. We examined how age is associated with cigarette and all tobacco product abstinence and the potential moderating effects of smoking frequency. AIMS AND

methodsData from a 4-year cohort of the Population Assessment of Tobacco and Health (PATH) study were used, including 7512 smokers at Wave 1 who had smoking status data at Wave 4. Logistic regression models were used to examine the effects of age (18-24, 25-34, 35-44, 45-54, and ≥55 years) on Wave 4, 30-day and 12-month cigarette and all tobacco product abstinence, adjusting for covariates and the interaction between age and cigarette use frequency (nondaily, light daily, and heavy daily).

resultsOlder smokers (≥55 years) were more likely to be heavy daily smokers than younger smokers 18-24 and 25-34 years, but were less likely to have a past-year cigarette quit attempt. Younger smokers 45-54 years were less likely to report 12-month cigarette abstinence than older smokers (odds ratio = 0.72 [0.54-0.95]). Younger smokers 18-24 and 45-54 years were less likely to report 12-month tobacco product abstinence than older smokers (odds ratio = 0.65 [0.45-0.93]; odds ratio = 0.73 [0.55-0.96], respectively). Thirty-day cigarette abstinence significantly decreased as age increased for nondaily smokers, significantly increased for heavier daily smokers, but remained similar across age for light daily smokers.

conclusionsOlder smokers were more likely to report 12-month cigarette and tobacco abstinence than younger smokers 45-54 years old, and the effect of age on abstinence differed by smoking frequency/intensity. Smoking cessation interventions need to be age specific and consider smoking frequency. IMPLICATIONS: This study shows that although older smokers are more likely to be heavy smokers and less likely to have a quit attempt at baseline, they are more likely to have 12-month cigarette and tobacco abstinence than younger smokers. Furthermore, 30-day cigarette abstinence significantly decreases as age increases for nondaily smokers and significantly increases for heavy daily smokers, suggesting that the effect of cigarette smoking frequency and intensity changes with age. Smoking cessation interventions need to be age specific as well as consider the smoking frequency/intensity of each age group. Younger smokers may need more targeted cessation interventions to successfully quit.

Indexed as

Smoking CessationTobacco ProductsHumansMiddle AgedSmokersSmoking

Identifiers

PMID35511741
PMCPMC9597074

What OpenQuestion holds

Textmetadata
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.