Evidence map›Paper›PMID 37747518›Full record

ArticlePsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2024

Comparable cigarette consumption data collected using timeline follow-back and digital diary among treatment-seeking smokers.

Yong Cui, Jason D Robinson, George Kypriotakis, Jennifer A Minnix, Charles E Green, Seokhun Kim, Maher Karam-Hage, Paul M Cinciripini

Abstract readComparative Study
In one paragraph

Article in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Preloading With Nicotine Replacement Therapy in People With HIV Who Smoke: A Pilot Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Trial
  2. 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

8 authors.

Yong CuiDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center.ORCID 0000-0003-0218-271X
Jason D RobinsonDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center.
George KypriotakisDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center.
Jennifer A MinnixDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center.
Charles E GreenDepartment of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston.ORCID 0000-0001-9192-8215
Seokhun KimDepartment of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston.
Maher Karam-HageDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center.
Paul M CinciripiniDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHSNCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

objectiveThe timeline follow-back interview is a common method of collecting daily cigarette consumption (cigarettes per day [CPD]) in smoking research. However, it may be subject to recall bias due to its reliance on retrospective reports. The increasing ownership of smartphones allows researchers to administer app-based digital diaries (DD) to collect CPD, which is expected to have less recall bias. Several studies have compared these two methods and found a noticeable discrepancy between them. However, these studies have mainly focused on the time window when smokers were smoking ad libitum. In this study, we wanted to determine the comparability of these two methods when treatment-seeking smokers are attempting to quit smoking.

methodIn a cessation trial, treatment-seeking smokers (

resultsWe found that the two methods exhibited good agreement, and the agreement did not vary as a function of consumption levels. Consistent with this agreement, CPD data from both methods showed similar correlations with biochemical measures of smoking and predicted 6-month abstinence in a comparable fashion. Despite the agreement, the DD method appeared to be more precise by having a lower digit bias than the timeline follow-back method.

conclusionsCapturing smoking behavior using either TLFB or DD approaches yields similar data while smokers are attempting to quit smoking. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

SmokersSmoking CessationAdultCigarette SmokingDiaries as TopicFemaleHumansMaleMental RecallMiddle AgedMobile ApplicationsSmartphone

Identifiers

PMID37747518
PMCPMC10961249

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.