Evidence map›Paper›PMID 26695640›Full record

ArticleBMC public health2015

The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking.

John C Lang, Daniel M Abrams, Hans De Sterck

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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 2 countries.

John C LangDepartment of Applied Mathematics, University of Waterloo, 200 University Avenue West, Waterloo, N2L 3G1, Canada. j8lang@uwaterloo.ca.
Daniel M AbramsDepartment of Engineering Sciences and Applied Mathematics & Northwestern Institute on Complex Systems & Department of Physics and Astronomy, Northwestern University, 633 Clark Street, Evanston, 60208, USA. dmabrams@northwestern.edu.
Hans De SterckDepartment of Applied Mathematics, University of Waterloo, 200 University Avenue West, Waterloo, N2L 3G1, Canada. hdesterck@uwaterloo.ca.
University of Waterloo · CANorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking of tobacco is estimated to have caused approximately six million deaths worldwide in 2014. Responding effectively to this epidemic requires a thorough understanding of how smoking behaviour is transmitted and modified.

methodsWe present a new mathematical model of the social dynamics that cause cigarette smoking to spread in a population, incorporating aspects of individual and social utility. Model predictions are tested against two independent data sets spanning 25 countries: a newly compiled century-long composite data set on smoking prevalence, and Hofstede's individualism/collectivism measure (IDV).

resultsThe general model prediction that more individualistic societies will show faster adoption and cessation of smoking is supported by the full 25 country smoking prevalence data set. Calibration of the model to the available smoking prevalence data is possible in a subset of 7 countries. Consistency of fitted model parameters with an additional, independent, data set further supports our model: the fitted value of the country-specific model parameter that determines the relative importance of social and individual factors in the decision of whether or not to smoke, is found to be significantly correlated with Hofstede's IDV for the 25 countries in our data set.

conclusionsOur model in conjunction with extensive data on smoking prevalence provides evidence for the hypothesis that individualism/collectivism may have an important influence on the dynamics of smoking prevalence at the aggregate, population level. Significant implications for public health interventions are discussed.

Indexed as

IndividualityModels, TheoreticalPublic HealthSocial IdentificationAdultHumansLaw EnforcementMiddle AgedPrevalenceSelf ConceptSmokingSmoking CessationSocial ValuesTobacco Use DisorderYoung Adult

Identifiers

PMID26695640
PMCPMC4688941
OpenAlexW2126936991

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.