Evidence map›Paper›PMID 40822646›Full record

ArticleLancet regional health. Americas2025

A systematic review and meta-analysis of Tobacco 21 policies and youth tobacco use: implications for future policy research.

Danyi Li, Shiyou Wu, Steve Sussman, Mary Ann Pentz

Erratum issuedAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Danyi LiDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA.
Shiyou WuSchool of Social Work, Arizona State University, Phoenix, AZ, 85004-0689, USA.
Steve SussmanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA.
Mary Ann PentzDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Raising the sales age to 21 is among the most important steps to curb tobacco/nicotine use in youth in the past two decades. The study aims to systematically review and perform meta-analyses on the impact of Tobacco 21 (T21) policies on tobacco use among 11-to-20-year-olds in the United States, encompassing T21s at local, state, and national levels. Methods: We screened 14 databases following PRISMA and PICOS criteria, applying standardized abstraction forms and quality assessment tools. Inverse-variance-weighted random-effects models estimated pooled, fully adjusted odds ratios (ORs) for tobacco use outcomes, with moderation analyses by T21-level, gender, age, and race/ethnicity proportions. Sensitivity analyses considering study quality and study-level clusters were conducted. Findings: Among 24 studies included, T21s were associated with current cigarette (OR = 0.92, 95% CI: 0.77-1.11), chewing tobacco (OR = 0.89, 95% CI: 0.65-1.23), e-cigarette (OR = 1.32, 95% CI: 0.88-1.97), and cigar/cigarillo use (OR = 0.98, 95% CI: 0.55-1.73) compared to non-T21 areas and pre-T21 periods. Moderation analyses showed that studies on the Federal T21 and studies with fewer female participants (<50%) had significantly lower odds of cigarette use; No significant moderation effects by race/ethnicity or age-group. Interpretation: Almost all meta-analyses had null findings, suggesting null policy effects on reducing the prevalence of youth tobacco use. There is evidence that the policy level and gender proportion in studies moderated T21 effects. Future research and practice should consider policy levels, youth age ranges, analytic strategies, and implementation factors such as ID verification and compliance check inspections that may improve T21's effectiveness in reducing youth tobacco use. Funding: No funding.

Indexed as

Cigarette smokingE-cigarettesMeta-analysisPolicy enforcementProduct substitutionPublic healthTobacco 21Tobacco control policyUnited StatesYouth tobacco use

Identifiers

PMID40822646
PMCPMC12356382

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.