Evidence map›Paper›PMID 26385929›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2016

Estimating the Potential Impact of Tobacco Control Policies on Adverse Maternal and Child Health Outcomes in the United States Using the SimSmoke Tobacco Control Policy Simulation Model.

David Levy, Mary Katherine Mohlman, Yian Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Gene-Environment Interaction between theInternational journal of environmental research and public health · 2020
    Article
  5. Differences in Prenatal Tobacco Exposure Patterns among 13 Race/Ethnic Groups in California.International journal of environmental research and public health · 2019
    Article
  6. Article
  7. Article
  8. Review
  9. 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

3 authors at 2 institutions in 1 country.

David LevyLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC dl777@georgetown.edu.
Mary Katherine MohlmanLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.
Yian ZhangLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.
Georgetown University Medical Center · USGeorgetown University · US

Funding

Comparative Modeling of Lung Cancer Control PoliciesU01CA152956 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DE KONING, HARRY J, KONG, CHUNG YIN · 2010 to 2014
$7.4M
MODELING THE POLICY IMPACT OF CIGARETTE AND SMOKELESS USE ON US MORTALITYR01DA036497 · NIDA · GEORGETOWN UNIVERSITY · PI LEVY, DAVID THEODORE · 2013 to 2016
$2.5M
NCI NIH HHS U01-CA-152956NIDA NIH HHS 1R01DA036497-01NIDA NIH HHS R01 DA036497PHS HHS HHSN261201000043C
6 · The paper itself

Abstract

introductionNumerous studies document the causal relationship between prenatal smoking and adverse maternal and child health (MCH) outcomes. Studies also reveal the impact that tobacco control policies have on prenatal smoking. The purpose of this study is to estimate the effect of tobacco control policies on prenatal smoking prevalence and adverse MCH outcomes.

methodsThe US SimSmoke simulation model was extended to consider adverse MCH outcomes. The model estimates prenatal smoking prevalence and, applying standard attribution methods, uses estimates of MCH prevalence and relative smoking risks to estimate smoking-attributable MCH outcomes over time. The model then estimates the effect of tobacco control policies on adverse birth outcomes averted.

resultsDifferent tobacco control policies have varying impacts on the number of smoking-attributable adverse MCH birth outcomes. Higher cigarette taxes and comprehensive marketing bans individually have the biggest impact with a 5% to 10% reduction across all outcomes for the period from 2015 to 2065. The policies with the lowest impact (2%-3% decrease) during this period are cessation treatment, health warnings, and complete smoke-free laws. Combinations of all policies with each tax level lead to 23% to 28% decreases across all outcomes.

conclusionsOur findings demonstrate the substantial impact of strong tobacco control policies for preventing adverse MCH outcomes, including long-term health implications for children exposed to low birth weight and preterm birth. These benefits are often overlooked in discussions of tobacco control.

Indexed as

Models, TheoreticalAdolescentAdultAgedChild HealthFemaleHealth PolicyHumansInfant, NewbornMaleMaternal HealthMiddle AgedPregnancyPremature BirthSmokingSmoking Cessation

Identifiers

PMID26385929
PMCPMC5896820
OpenAlexW2298605009

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.