Evidence map›Paper›PMID 28409658›Full record

ArticleSubstance use & misuse2017

Lack of Preventive Health Behaviors in the Early Forties: The Role of Earlier Trajectories of Cigarette Smoking From Adolescence to Adulthood.

Chenshu Zhang, Judith S Brook, Carl G Leukefeld, Mario De La Rosa, David W Brook

Abstract read
In one paragraph

Article in Substance use & misuse, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Smoking cessation intervention trial outcomes for sexual and gender minority young adults.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Trial
  3. Article
  4. Article
  5. 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 3 institutions in 1 country.

Chenshu Zhanga Department of Psychiatry , New York University School of Medicine , New York , New York , USA.
Judith S Brooka Department of Psychiatry , New York University School of Medicine , New York , New York , USA.
Carl G Leukefeldb Department of Behavioral Sciences , University of Kentucky , Lexington , Kentucky , USA.
Mario De La Rosac Center for Research on US Latino HIV/AIDS and Drug Abuse , Florida International University , Miami , Florida , USA.
David W Brooka Department of Psychiatry , New York University School of Medicine , New York , New York , USA.
New York University · USFlorida International University · USUniversity of Kentucky · US

Funding

CHILDHOOD ETIOLOGIC DETERMINANTS OF ADOLESCENT DRUG USER01DA003188 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S · 1985 to 2010
$6.0M
Longitudinal Pathways to the Use of Health ServicesR01DA032603 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BROOK, JUDITH S · 2012 to 2015
$2.3M
NIDA NIH HHS R01 DA003188NIDA NIH HHS R01 DA032603
6 · The paper itself

Abstract

objectiveTo study the degree to which individuals in different trajectories of cigarette smoking from adolescence to the early forties are similar or different in terms of lack of preventive health behaviors (e.g., underuse of preventive health services, unhealthy eating habits) in early midlife.

methodsParticipants came from a community-based random sample of residents in two upstate New York counties (N = 548). Data were collected from adolescence to early midlife (mean age = 43 years, standard deviation [SD] = 2.8) at seven time points. Using growth mixture modeling, we statistically identified the number of smoking trajectories. Logistic regression analysis was used to study the relationship between the probabilities of participants' smoking trajectory group membership and lack of preventive behaviors in early midlife.

resultsFive trajectory groups of cigarette smokers were identified. With controls, as compared with the nonsmoker trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory groups were significantly associated with a higher likelihood of lack of preventive health behaviors (adjusted odds ratio [AOR] = 3.49 and 4.02 respectively). In addition, as compared to the quitter/decreaser trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory group were also significantly associated with a higher likelihood of lack of preventive health behaviors (AOR = 3.51 and 4.04 respectively).

conclusionsIntervention programs may consider focusing on heavy/continuous smokers and late starters in programs designed to promote adequate use of preventive health services and healthy general lifestyles in early midlife.

Indexed as

Health BehaviorPreventive Health ServicesAdolescentAdultCigarette SmokingFemaleHumansLongitudinal StudiesMaleMiddle AgedNew YorkRisk FactorsYoung Adultlack of exerciselack of preventive health behaviorspoor sleeping habitsTrajectory of cigarette smokingunderuse of preventive health servicesunhealthy eating habits

Identifiers

PMID28409658
PMCPMC5567694
OpenAlexW2606677725

What OpenQuestion holds

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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.