Evidence map›Paper›PMID 31429769›Full record

ArticleSubstance abuse treatment, prevention, and policy2019

Youth smoking and anti-smoking policies in North Dakota: a system dynamics simulation study.

Arielle S Selya, Oleksandr Ivanov, Abigail Bachman, David Wheat

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. [Progress on the application of system dynamics model in the field of health management].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025
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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

4 authors.

Arielle S SelyaDepartment of Population Health, University of North Dakota School of Medicine & Health Sciences, Grand Forks, ND, USA. Arielle.Selya@SanfordHealth.org.ORCID 0000-0001-7026-6988
Oleksandr IvanovSystem Dynamics Group, Department of Geography, University of Bergen, Bergen, Norway.
Abigail BachmanDepartment of Population Health, University of North Dakota School of Medicine & Health Sciences, Grand Forks, ND, USA.
David WheatSystem Dynamics Group, Department of Geography, University of Bergen, Bergen, Norway.

Funding

Transdisciplinary approaches to American Indian and rural population health researchP20GM121341 · NIGMS · SANFORD RESEARCH/USD · PI PUUMALA, SUSAN E · 2017 to 2022
$11.8M
System dynamics and dynamic systems modeling of adolescent smoking developmentF32DA033742 · NIDA · WESLEYAN UNIVERSITY · PI SELYA, ARIELLE S. · 2013 to 2013
$29k
NIDA NIH HHS F32 DA033742NIDA NIH HHS L40 DA042431NIGMS NIH HHS P20 GM121341
6 · The paper itself

Abstract

backgroundThe current study utilizes system dynamics to model the determinants of youth smoking and simulate effects of anti-smoking policies in the context of North Dakota, a state with one of the lowest cigarette tax rates in the USA.

methodsAn explanatory model was built to replicate historical trends in the youth smoking rate. Three different policies were simulated: 1) an increase in cigarette excise taxes; 2) increased funding for CDC-recommended comprehensive tobacco control programs; and 3) enforcement of increased retailer compliance with age restrictions on cigarette sales.

resultsThe explanatory model successfully replicated historical trends in adolescent smoking behavior in North Dakota from 1992 to 2014. The policy model showed that increasing taxes to $2.20 per pack starting in 2015 was the most effective of the three policies, producing a 32.6% reduction in youth smoking rate by 2032. Other policies reduced smoking by a much lesser degree (7.0 and 3.2% for comprehensive tobacco control program funding and retailer compliance, respectively). The effects of each policy were additive.

conclusionsSystem dynamics modeling suggests that increasing cigarette excise taxes are particularly effective at reducing adolescent smoking rates. More generally, system dynamics offers an important complement to conventional analysis of observational data.

Indexed as

Adolescent BehaviorHealth PolicySystems AnalysisAdolescentComputer SimulationHumansModels, PsychologicalNorth DakotaSmokingSmoking PreventionTaxesAdolescentSimulation methodsSmokingSystem dynamicsTobacco policy

Identifiers

PMID31429769
PMCPMC6701071

What OpenQuestion holds

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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.