Psychological network analysis of the relations between beliefs about smoking for smokers with and without a recent quit attempt.

IF 4.7 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-01 Epub Date: 2022-10-21 DOI:10.1080/08870446.2022.2130920
Sarah C Volz, Alexander J Rothman
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引用次数: 0

Abstract

Objective: Psychological network analysis was used to evaluate the relations between beliefs about cigarette smoking in current smokers with and without a recent quit attempt and determine if these networks differed in global strength (how strongly beliefs are related) or global structure (which beliefs are related).

Design: Using two publicly available datasets, the California Smokers' Cohort (CSC; N = 933) and Wave 1 of the Population Assessment of Tobacco and Health (PATH; N = 7855), we evaluated differences in global strength and global structure of the beliefs held by current smokers with and without a recent quit attempt.

Main outcome measures: Strength and structure of networks generated for current smokers with and without a recent quit attempt.

Results: In the CSC dataset there were differences between smokers with and without a recent quit attempt in global structure and marginal differences in global strength; the PATH dataset suggested small differences in global strength and structure.

Conclusion: The present study suggests that consideration of relations among smoking beliefs may be a valuable contribution to characterizing smoking beliefs when assessing smoking quit attempts.

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对近期尝试过戒烟和未尝试过戒烟的吸烟者吸烟信念之间关系的心理网络分析。
目的采用心理网络分析法评估有戒烟经历和没有戒烟经历的当前吸烟者的吸烟信念之间的关系,并确定这些网络在整体强度(信念之间的关联程度)或整体结构(哪些信念之间存在关联)方面是否存在差异:利用两个公开数据集,即加利福尼亚吸烟者队列(CSC;N = 933)和烟草与健康人群评估(PATH;N = 7855)第 1 波,我们评估了当前吸烟者所持信念的全局强度和全局结构的差异:主要结果测量指标:当前吸烟者(最近有戒烟尝试和没有戒烟尝试)产生的网络强度和结构:在CSC数据集中,近期有戒烟尝试和没有戒烟尝试的吸烟者在总体结构上存在差异,总体强度也略有不同;PATH数据集显示,总体强度和结构差异较小:本研究表明,在评估戒烟尝试时,考虑吸烟信念之间的关系可能会对吸烟信念的特征描述做出有价值的贡献。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊介绍: ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
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