Evidence map›Paper›PMID 20810607›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2010

Smoking behavior among low-income black adults: patterns and correlates of smoking trajectories.

Lori A J Scott-Sheldon, Michael P Carey, Theresa E Senn, Peter A Vanable

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2010. 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
0.2field-weighted citation impact, top 45% 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, 5 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Lori A J Scott-SheldonCenter for Health and Behavior, Syracuse University, 430 Huntington Hall, Syracuse, NY 13244-2340, USA. lajss@syr.edu
Michael P Carey
Theresa E Senn
Peter A Vanable
Syracuse University · US

Funding

HIV PREVENTION FOR STD CLINIC PATIENTSR01MH068171 · NIMH · SYRACUSE UNIVERSITY · PI CAREY, MICHAEL P · 2003 to 2013
$5.6M
NIMH NIH HHS R01 MH068171NIMH NIH HHS R01-MH068171
6 · The paper itself

Abstract

introductionLimited research has focused on identifying smoking patterns and correlates of cigarette use among low-income Blacks. Identifying smoking patterns and correlates of use would assist health providers to develop more culturally sensitive interventions.

methodsA semiparametric group-based trajectory modeling strategy was used to empirically identify patterns of cigarette use among 947 low-income Black adults (47% women) enrolled in a sexual risk reduction intervention at a sexually transmitted disease clinic. Patients' cigarette use was assessed 4 times over a 12-month period; correlates of cigarette use were examined.

resultsSix smoking trajectories were empirically identified: none/rare smokers (n = 536), decreasing light smokers (n = 69), increasing light smokers (n = 51), low light smokers (n = 112), upper light smokers (n = 142), and moderate smokers (n = 33). Smoking trajectories were predicted by alcohol use, prior substance use treatment, marijuana use, and other illegal drug use, but the patterns varied by trajectory. DISCUSSION: Results from this study show that Blacks' smoking patterns are associated with several risk factors. These findings suggest that development of prevention and cessation programs should be targeted to the specific needs of Blacks' smoking trajectories.

Indexed as

AdultBlack or African AmericanFemaleHumansMaleSmokingSocioeconomic FactorsYoung Adult

Identifiers

PMID20810607
PMCPMC2948054
OpenAlexW1965001342

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.