Evidence map›Paper›PMID 27439543›Full record

ArticleThe American journal of drug and alcohol abuse2017

Mixture models of delay discounting and smoking behavior.

Andre Hofmeyr, John Monterosso, Andy C Dean, Angelica M Morales, Robert M Bilder, Fred W Sabb, Edythe D London

Abstract read
PubMed Publisher
In one paragraph

Article in The American journal of drug and alcohol abuse, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Time preferences and COVID-19 vaccination uptake.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  3. Article
  4. Article
  5. Behavioral construction of the future.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Review
  6. Article
  7. Willpower with and without effort.The Behavioral and brain sciences · 2020
    Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Andre Hofmeyra School of Economics , University of Cape Town , Cape Town , South Africa.
John Monterossob Department of Psychology , University of Southern California , Los Angeles , CA , USA.
Andy C Deane Department of Psychiatry and Biobehavioral Sciences , University of California Los Angeles , Los Angeles , CA , USA.
Angelica M Moralese Department of Psychiatry and Biobehavioral Sciences , University of California Los Angeles , Los Angeles , CA , USA.
Robert M Bildere Department of Psychiatry and Biobehavioral Sciences , University of California Los Angeles , Los Angeles , CA , USA.
Fred W Sabbe Department of Psychiatry and Biobehavioral Sciences , University of California Los Angeles , Los Angeles , CA , USA.
Edythe D Londone Department of Psychiatry and Biobehavioral Sciences , University of California Los Angeles , Los Angeles , CA , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmokers exhibit an unusually high willingness to forgo a delayed reward of greater magnitude to receive a smaller, more immediate reward. The functional form of such "delay discounting" behavior is central to the discounting-based operationalization of impulsivity, and has implications for theories regarding the basis of steep discounting among smokers and treatment approaches to addiction.

objectivesWe examined the discounting behavior of current smokers, ex-smokers, and never-smokers to determine whether the functional form of discounting differs between these groups.

methodsParticipants completed a 27-item delay discounting questionnaire (25). We used finite mixture modeling in analyzing data as the product of two simultaneous data-generating processes (DGPs), a hyperbolic function and an exponential function, and compared results to a quasi-hyperbolic (QH) approximation, in a relatively large sample (n = 1205).

resultsConsistent with prior reports, current smokers exhibited steeper discounting relative to never-smokers across exponential, hyperbolic, and QH models. A mixture model provided significant support for exponential and hyperbolic discounting in the data, and both accounted for roughly 50% of the participants' choices. This mixture model showed a statistically significantly better fit to the data than the exponential, hyperbolic, or QH functions alone. Contrary to the prevailing view, current smokers were not more likely to discount hyperbolically than nonsmokers, and, thus, were not more prone to time-inconsistent discounting.

conclusionsThe results inform the interpretation of steep discounting among smokers and suggest that treatment approaches could be tailored to the type of discounting behavior that smokers exhibit.

Indexed as

Delay DiscountingImpulsive BehaviorModels, StatisticalAdultChoice BehaviorFemaleHumansMaleMiddle AgedRewardSmokersSmokingSurveys and QuestionnairesYoung Adultaddictiondelay discountingimpulsivityMixture modelssmoking

Identifiers

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.