Evidence map›Paper›PMID 39425111›Full record

Trial reportBMC public health2024

The role of mood in shaping reactions to smoking cessation messages among adults who smoke: a multimodal investigation.

Elise M Stevens, Donghee N Lee, Hannah Stevens, Rajani S Sadasivam

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Elise M StevensDepartment of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, UMass Chan Medical School, Worcester, MA, USA. Elise.Stevens@umassmed.edu.
Donghee N LeeDepartment of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, UMass Chan Medical School, Worcester, MA, USA.
Hannah StevensDepartment of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, UMass Chan Medical School, Worcester, MA, USA.
Rajani S SadasivamDepartment of Population and Quantitative Health Sciences, Division of Health Informatics and Implementation Science, UMass Chan Medical School, Worcester, MA, USA.

Funding

Prevention And Control of Cancer: Training for Change in Individuals and SystemsT32CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., OCKENE, JUDITH K · 2019 to 2023
$1.5M
Young Adults Responses to E-Cigarette Advertisement Features and the Effects of Restricting Features on Tobacco UseR00DA046563 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEVENS, ELISE MARIE · 2021 to 2023
$914k
Health Sciences Pilot Project Program 001NCI NIH HHS T32 CA172009NIDA NIH HHS R00 DA046563U.S. National Institute on Drug Abuse R00DA046563U.S. National Institutes of Health T32CA172009
6 · The paper itself

Abstract

introductionMood-tailored communications may help increase the effectiveness of smoking cessation messaging interventions. We used both self-report and psychophysiological measures to test the impact of mood on responses to cessation messages in adults who smoke.

methodsIn a two-part (crowdsourcing and psychophysiological studies) study, the impact of 30 smoking cessation messages comprised of five themes (i.e., financial, health, quality-of-life, challenges in quitting, motivation to quit) were tested. In a crowdsourcing study, participants (N = 600) were randomly placed into one of three mood induction tasks (i.e., positive, negative, neutral), and then viewed the smoking cessation messages. After each message, they were asked to self-report their motivation to quit, message receptivity, and the perceived relevance of the messages. In an in-lab, psychophysiological study, participants (N = 42) completed the same tasks as the crowdsourcing participants but were monitored for heart rate, skin conductance, and eye-tracking while viewing the cessation messages. Using a multi-attribute decision-making model (MADM) using outcomes from both studies, messages were ranked for each mood state.

resultsThe top messages for participants in the positive mood condition included the challenges in quitting, financial costs/rewards, and motivations to quit themes. The top messages for participants assigned to the negative mood condition included the challenges in quitting, quality-of-life, and financial costs/rewards themes. For participants in the neutral mood condition, messages in the challenges in quitting and quality of life themes performed best.

conclusionsVariations in the preferences of messages and themes by mood condition suggest that mood-tailored communication may increase the effectiveness of smoking cessation messages.

Indexed as

AffectMotivationSmoking CessationAdultCrowdsourcingFemaleHumansMaleMiddle AgedSelf ReportSmokersYoung AdultCommunicationsMoodSmoking Cessation messages

Identifiers

PMID39425111
PMCPMC11487937

What OpenQuestion holds

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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.