Evidence map›Paper›PMID 28431973›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2017

Understanding the Relationship of Cigarette Smoking Trajectories Through Adolescence and Weight Status in Young Adulthood in the United States.

Minal Patel, Annette Kaufman, Yvonne Hunt, Linda Nebeling

Abstract read
In one paragraph

Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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.

Minal PatelDivision of Cancer Control and Population Sciences, Health Behaviors Research Branch, Behavioral Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland. Electronic address: minal.patel@nih.gov.
Annette KaufmanDivision of Cancer Control and Population Sciences, Tobacco Control Research Branch, Behavioral Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Yvonne HuntDivision of Cancer Control and Population Sciences, Tobacco Control Research Branch, Behavioral Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
Linda NebelingDivision of Cancer Control and Population Sciences, Office of the Associate Director, Behavioral Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Intramural NIH HHS Z99 CA999999NICHD NIH HHS P01 HD031921
6 · The paper itself

Abstract

purposeAdolescent cigarette smoking has steadily declined since 1999, whereas adolescent obesity rates have quadrupled since the 1980s. Few studies address the longitudinal relationship of smoking and weight in youth and young adulthood. This study examines the relationship of smoking trajectories beginning in adolescence on weight status in young adulthood in a nationally representative longitudinal sample.

methodsThe study sample was drawn from the National Longitudinal Study of Adolescent to Adult Health Waves I-IV (N = 13,361). Four trajectories were generated through repeated-measures latent class analyses using current cigarette smoking status in Waves I-IV and age of initiation: nonsmokers (44%), early establishers (23%), late establishers (21%), and former smokers (12%). Wave IV weight status included self-reported body mass index (BMI) and measured waist circumference. Bivariate analyses addressed associations between smoking trajectory and BMI at each wave. Multivariate linear regression models tested the relationship of smoking trajectory and weight status at Wave IV.

resultsIn bivariate analyses, early and late establishers had a significantly lower BMI at Wave III and all smoking trajectories had a significantly lower BMI at Wave IV versus nonsmokers. All smoking trajectories had a significantly lower BMI than nonsmokers (early establishers: β = -1.27, confidence interval [CI]: -1.56 to -.98]; late establishers: β = -.84, CI: -1.16 to -.52; and former smokers: β = -.63, CI: -.93 to -.34; p < .05) in an adjusted multivariable regression model.

conclusionsThis study reveals that weight status increased over time for all trajectories; thus smoking does not mitigate obesity risk. These results have implications for both research and interventions to help youth and young adults avoid both smoking and obesity.

Indexed as

Body Mass IndexObesityAdolescentAdultCigarette SmokingFemaleHealth SurveysHumansLongitudinal StudiesMaleRisk FactorsUnited StatesBody mass index (BMI)SmokingTrajectory analysesWaist circumference

Identifiers

PMID28431973
PMCPMC5522787

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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.