Evidence map›Paper›PMID 24169813›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2014

The predictive value of smoking expectancy and the heritability of its accuracy.

Jorien L Treur, Dorret I Boomsma, Gitta H Lubke, Meike Bartels, Jacqueline M Vink

Abstract readTwin Study
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2016
    Article
  3. 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

5 authors at 2 institutions in 2 countries.

Jorien L TreurDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands;
Dorret I Boomsma
Gitta H Lubke
Meike Bartels
Jacqueline M Vink
Amsterdam UMC Location VUmc · NLUniversity of Notre Dame · US

Funding

Psychometric and Genetic Assessments of Substance UseR37DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2005 to 2014
$3.7M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
Determinants of Adolescent Exercise Behavior; towards Evidence-Based InterventionR01DK092127 · NIDDK · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HUDZIAK, JAMES J. · 2010 to 2014
$2.2M
European Research Council 230374European Research Council 284167NIDA NIH HHS DA 018673NIDA NIH HHS R01 DA018673NIDDK NIH HHS R01DK092127
6 · The paper itself

Abstract

introductionAmong smokers, former smokers, and never-smokers, this study aimed to (a) determine the predictive value of smoking expectancy on future smoking status, and (b) test the relative contribution of genes and environment to a person's ability to accurately predict future smoking status. For smokers, smoking expectancy reflects the intention to continue smoking; for former smokers, it reflects the intention to take up smoking again; and for never-smokers, it reflects the intention to initiate smoking.

methodsA longitudinal design was employed in which participants of the Netherlands Twin Register completed 2 consecutive surveys 2 years apart between 1993 and 2011 (3,591 adolescents aged 14-18 years), or between 1993 and 2004 (11,568 adults, aged 18+ years). Smoking expectancy was measured by asking, "Do you think you'll smoke in a year's time?", with answer categories ranging from "certainly not" to "absolutely yes" on a 5-point scale. To determine the predictive value of smoking expectancy, analyses were performed in smokers, former smokers, and never-smokers separately. Data of 2,987 adolescents and 4,911 adult twins were analyzed to estimate heritability. A dichotomous variable reflected the ability to predict future smoking status (correct/incorrect).

resultsSmoking expectancy significantly predicted future smoking status among former smokers and never-smokers. The ability to accurately predict future smoking status was explained by additive genetic factors for 59% of adolescents and 27% of adults, with the remainder being explained by unique environmental factors.

conclusionsA single question on smoking expectancy helps predict future smoking status. Variation in how well subjects predict their future smoking behavior is influenced by genetic factors, especially during adolescence.

Indexed as

AdolescentAdultFemaleHumansMaleModels, GeneticSmokingTwins, DizygoticTwins, Monozygotic

Identifiers

PMID24169813
PMCPMC3983427
OpenAlexW2319495857

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.