Evidence map›Paper›PMID 24328611›Full record

ArticleAmerican journal of public health2014

Smoking initiation associated with specific periods in the life course from birth to young adulthood: data from the National Longitudinal Survey of Youth 1997.

Xinguang Chen, Angela J Jacques-Tiura

Abstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. A Meta-Analysis of Cigarette Smoking Prevalence among Adolescents in China: 1981-2010.International journal of environmental research and public health · 2015
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  17. Prevalence and Correlates of Social Smoking in Young Adults: Comparisons of Behavioral and Self-Identified Definitions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2015
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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

2 authors.

Xinguang ChenXinguang Chen and Angela J. Jacques-Tiura are with the Pediatric Prevention Research Center, School of Medicine, Wayne State University, Detroit, MI.
Angela J Jacques-Tiura

Funding

Measuring Cigarette Smoking Behavior Progression with Cross-Sectional DataR01DA022730 · NIDA · WAYNE STATE UNIVERSITY · PI CHEN, XINGUANG · 2008 to 2011
$847k
NIDA NIH HHS R01 DA022730
6 · The paper itself

Abstract

objectivesGuided by the life-course perspective, we examined whether there were subgroups with different likelihood curves of smoking onset associated with specific developmental periods.

methodsUsing 12 waves of panel data from 4088 participants in the National Longitudinal Survey of Youth 1997, we detected subgroups with distinctive risk patterns by employing developmental trajectory modeling analysis.

resultsFrom birth to age 29 years, 72% of female and 74% of US males initiated smoking. We detected 4 exclusive groups with distinctive risk patterns for both genders: the Pre-Teen Risk Group initiated smoking by age 12 years, the Teenage Risk Group initiated smoking by age 18 years, the Young Adult Risk Group initiated smoking by age 25 years, and the Low Risk Group experienced little or no risk over time. Groups differed on several etiological and outcome variables.

conclusionsThe process of smoking initiation from birth to young adulthood is nonhomogeneous, with distinct subgroups whose risk of smoking onset is linked to specific stages in the life course.

Indexed as

AdolescentAdultAge FactorsChildDepressionFamily RelationsFemaleHealth SurveysHumansLongitudinal StudiesMalePeer GroupRisk FactorsSex FactorsSmokingSocioeconomic Factors

Identifiers

PMID24328611
PMCPMC3935711

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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.