Evidence map›Paper›PMID 25385876›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2015

Prevalence and Correlates of Social Smoking in Young Adults: Comparisons of Behavioral and Self-Identified Definitions.

Nadra E Lisha, Kevin L Delucchi, Pamela M Ling, Danielle E Ramo

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  10. Factors Related to Smoking Status Among Young Adults: An Analysis of Younger and Older Young Adults in Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019
    Article
  11. Article
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  16. Social smoking among intermittent smokers.Drug and alcohol dependence · 2015
    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

4 authors.

Nadra E LishaDepartment of Medicine, Center for Tobacco Control Research and Education and Division of General Internal Medicine, University of California, San Francisco, CA;
Kevin L DelucchiDepartment of Psychiatry, University of California, San Francisco, CA.
Pamela M LingDepartment of Medicine, Center for Tobacco Control Research and Education and Division of General Internal Medicine, University of California, San Francisco, CA;
Danielle E RamoDepartment of Psychiatry, University of California, San Francisco, CA danielle.ramo@ucsf.edu.

Funding

TREATMENTS FOR COMPLEX PATIENTS IN NEW SETTINGSP50DA009253 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SORENSEN, JAMES L · 1994 to 2014
$28.2M
Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Social Media Intervention for Young Adult SmokersK23DA032578 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RAMO, DANIELLE E · 2012 to 2016
$927k
NIDA NIH HHS K23 DA032578NIDA NIH HHS P50 DA09253NIDA NIH HHS T32 DA007250PHS HHS U01-154240
6 · The paper itself

Abstract

introductionSocial smoking is an increasingly common pattern among emerging adults. Although distinct patterns have emerged between social smokers and non-social smokers, there is discrepancy about how to define the construct, with inconsistencies between self-identified social smoking and behavioral social smoking. We report prevalence and correlates of young adult smokers who self-identify and behave as social smokers (SELF + BEH), self-identified non-behavioral social smokers (SELF-ONLY), and non-social smokers (NON-SOCIAL).

methodsYoung adults age 18-25 years who have smoked at least 1 cigarette in the past 30 days (N = 1,811) were recruited through Facebook for a national anonymous, online survey of tobacco and other substance use. Three social smoking items were used to categorize respondents into 1 of 3 smoking groups. Groups were examined for prevalence and differences on demographics, substance use, motivation to quit smoking and thoughts about tobacco abstinence.

resultsSELF-ONLY (46%) was the largest group, followed by SELF + BEH (27%) and NON-SOCIAL (27%). SELF + BEH smoke less frequently, smoke fewer cigarettes per day, are less addicted to cigarettes, have a higher desire to quit, and perceive a lower quitting difficulty compared with SELF-ONLY. SELF + BEH and SELF-ONLY were more likely to be male, be marijuana users, and be addicted to marijuana than NON-SOCIAL. SELF + BEH exhibited a lower frequency of smoking, less cigarettes per day, were less addicted, and had more days co-using alcohol and cigarettes than NON-SOCIAL.

conclusionIdentifying social smokers based on self-identification in addition to behavioral components appears to be important for designing smoking cessation interventions for emerging adults.

Indexed as

Health BehaviorSocial BehaviorAdolescentAdultFemaleHumansMaleMarijuana SmokingMotivationPrevalenceSmokingSmoking CessationSubstance-Related DisordersSurveys and QuestionnairesUnited StatesYoung Adult

Identifiers

PMID25385876
PMCPMC4542736

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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.