Evidence map›Paper›PMID 38098517›Full record

ArticleFrontiers in psychology2023

How do self-exempt beliefs affect intentions to quit smoking? An exploration of the mediating role of threat appraisal and coping appraisal.

Dan Zhang, Runhua Liu, Xinchen Li, Yuanyuan Yuan, Geyao Zhou

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Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dan ZhangSchool of Medicine and Health Management, Guizhou Medical University, Guiyang, China.
Runhua LiuSchool of Medicine and Health Management, Guizhou Medical University, Guiyang, China.
Xinchen LiSchool of Medicine and Health Management, Guizhou Medical University, Guiyang, China.
Yuanyuan YuanDepartment of Management Engineering, Guizhou Traffic Technician and Transportation College, Guiyang, China.
Geyao ZhouSchool of Medicine and Health Management, Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Numerous smokers are cognizant of the detrimental effects associated with this habit yet exhibit a persistent reluctance to cease their tobacco consumption. Self-exempt beliefs serve as an obstacle to the cessation of this addictive behavior. This research explored the impact of self-exempt beliefs on the readiness to quit smoking based on the Protection Motivation Theory (PMT) model and the mediating roles of threat appraisal and coping appraisal. Methods: Self-exempt beliefs, PMT constructs, and the intention to quit smoking constituted the theoretical model. The questionnaires were collected from 488 Chinese adult male smokers based on snowball sampling. Exploratory Factor Analysis (EFA) was used to examine the underlying factor structure of the pre-designed self-exempt beliefs scale. The reliability, validity, path coefficients, and explanatory power of the model were calculated using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results and discussion: The results showed that : (1) three common factors (skeptic beliefs, bulletproof beliefs, and "worth it" beliefs) with a total of 11 items were retained after EFA; (2) skeptic beliefs and "worth it" beliefs had a significantly negative effect on both threat appraisal and coping appraisal, while bulletproof beliefs did not; (3) bulletproof beliefs had a significantly positive direct impact on intention to quit, "worth it" beliefs had a significantly negative direct impact on intention, while skeptic beliefs had no significantly direct impact on intention; (4) threat appraisal and coping appraisal positively and significantly predicted cessation intention; and (5) threat appraisal and coping appraisal, as two main cognitive processes, acted as full mediations between skeptic beliefs and the intention to quit, as complementary partial mediations between "worth it" beliefs and the intention, and as non-mediation between bulletproof beliefs and the intention. Our findings suggest that efforts to undermine or "prevent" these self-exempt beliefs, particularly "worth it" and skeptic beliefs, may be an effective tactic for health communication interventions for quitting smoking.

Indexed as

coping appraisalintention to quit smokingmediating effectpartial least squaresprotection motivation theoryself-exempt beliefsthreat appraisal

Identifiers

PMID38098517
PMCPMC10720447

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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.