Evidence map›Paper›PMID 30982388›Full record

ArticleSubstance use & misuse2019

To smoke or not to smoke: Does delay discounting affect the proximal choice to smoke?

Christine E Sheffer, Neelam Prashad, Sara Lunden, Ria Malhotra, Richard J O'Connor

Open access · greenAbstract read
In one paragraph

Article in Substance use & misuse, 2019. 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
0.5field-weighted citation impact, top 32% 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, 3 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Future Thinking Priming Especially Effective at Modifying Delay Discounting Rates among Cigarette Smokers.International journal of environmental research and public health · 2021
    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 2 institutions in 1 country.

Christine E Sheffera Roswell Park Comprehensive Cancer Center, Elm & Carlton , Buffalo , New York , USA.ORCID 0000-0002-3741-5774
Neelam Prashadb The City University of New York Medical School , 160 Convent Ave, City College of New York , New York , New York , USA.
Sara Lundenb The City University of New York Medical School , 160 Convent Ave, City College of New York , New York , New York , USA.
Ria Malhotrab The City University of New York Medical School , 160 Convent Ave, City College of New York , New York , New York , USA.
Richard J O'Connora Roswell Park Comprehensive Cancer Center, Elm & Carlton , Buffalo , New York , USA.
City College of New York · USRoswell Park Comprehensive Cancer Center · US

Funding

Psychosocial Palliative & Community Research in CancerT32CA009461 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JENNIFER L HAY, Jamie S. Ostroff · 1985 to 2026
$10.1M
Translational Research Training on Addictions for Racial/Ethnic MinoritiesR25DA035161 · NIDA · CITY COLLEGE OF NEW YORK · PI DENISE AIMEE HIEN, Lesia Monique Ruglass · 2013 to 2026
$4.4M
TREND PARTNERSHIP ADMINISTRATIVE COREP20CA192991 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI OSTROFF, JAMIE S., SHEFFER, CHRISTINE ELIZABETH · 2014 to 2017
$852k
The TREND Partnership: Translational Research Education and Training to Eliminate Tobacco Disparities (1/2)P20CA192993 · NCI · CITY COLLEGE OF NEW YORK · PI SHEFFER, CHRISTINE ELIZABETH · 2014 to 2017
$766k
Enhancing relapse prevention for smoking cessation with rTMSR21CA178813 · NCI · CITY COLLEGE OF NEW YORK · PI MANTOVANI, ANTONIO, SHEFFER, CHRISTINE ELIZABETH · 2014 to 2015
$387k
NCI NIH HHS P20 CA192991NCI NIH HHS P20 CA192993NCI NIH HHS R21 CA178813NCI NIH HHS T32 CA009461NIDA NIH HHS R25 DA035161
6 · The paper itself

Abstract

backgroundDelay discounting rate shows robust predictive validity for tobacco use behaviors and is a new therapeutic target in the treatment of tobacco use. Identifying factors that influence relations between delay discounting and the choice to smoke cigarettes is key to the development of effective interventions that target delay discounting to reduce cigarette consumption.

objectiveTo examine relations between delay discounting, motivational factors, self-efficacy, nicotine dependence level, and the proximal choice to smoke in the context of other commonly rewarding activity choices.

methodsIn this cross-sectional design, daily smokers (n = 480) from Amazon Mechanical Turk completed a questionnaire that assessed delay discounting rate; motivation, intention, and self-efficacy to quit smoking; nicotine dependence level, and the preference for immediately engaging in multiple commonly rewarding activities. We hypothesized that 1) greater motivation to quit would be associated with lower priority given to smoking; 2) the relation between delay discounting and the priority given to smoking would be mediated by motivation, self-efficacy, and nicotine dependence level.

resultsGreater motivation to quit was significantly associated with a lower priority given to smoking. The relation between delay discounting and the priority given to smoking was marginally mediated by nicotine dependence level (p > .057).

conclusionsMotivation to quit influences decision-making by impacting the prioritization of choices. Nicotine dependence is likely to mediate the relation between delay discounting and the choice to smoke. Interventions that target delay discounting to reduce cigarette consumption or prevent relapse need to account for motivation to quit and nicotine dependence level.

Indexed as

AdolescentAdultChoice BehaviorCross-Sectional StudiesDelay DiscountingFemaleHumansIntentionMaleMiddle AgedMotivationRewardSelf EfficacySmokersSmokingSmoking CessationchoiceDelay discountingrelapse preventionsmoking cessationtobacco

Identifiers

PMID30982388
PMCPMC6629040
OpenAlexW2936209772

What OpenQuestion holds

Textmetadata
LicenceTDM
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.