补偿性健康信念与决策一致性和健康模式有关

Q4 Multidisciplinary
Bethany D. Merillat, C. González-Vallejo
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引用次数: 0

摘要

本研究测试了认知决策一致性和健康行为模式与代偿健康信念(CHBs)认可之间的假设。采用结构方程模型研究潜在变量补偿健康信念与决策一致性(通过对框架的抗拒、自信不足/过度、决策规则的应用、风险感知的一致性和对沉没成本偏差的抗拒来衡量)和风险倾向与健康后果(通过自我控制、健康行为检查表和风险感知量表来衡量)之间的关系。通过亚马逊®土耳其机器人(MTurk)招募的美国在线成人样本进行了评估。该模型描述了MTurk样本的关键关系。低水平的决策一致性和具有健康后果的风险倾向与代偿性健康信念的认可增加有关。结果可以帮助阐明与健康相关的认知和行为之间的关系,并影响依赖于CHB量表的干预措施的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compensatory Health Beliefs Relate to Decision-Making Coherence and Health Patterns
This study tested hypotheses that link cognitive decision-making coherence and health behavioral patterns to the endorsement of compensatory health beliefs (CHBs). Structural equation modeling was used to investigate relationships among the latent variables Compensatory Health Beliefs and 2 other constructs: Decision-Making Coherence (measured by resistance to framing, under/overconfidence, applying decision rules, consistency in risk perception, and resistance to sunk cost bias), and Risk Tendencies with Health Consequences (measured by self-control, the Health Behavior Checklist, and risk perception scales). An online, adult, United States sample—recruited through Amazon.com®’s Mechanical Turk (MTurk)—was assessed. The model described key relationships for the MTurk sample. Low levels of Decision-Making Coherence and Risk Tendencies with Health Consequences were associated with increased endorsement of Compensatory Health Beliefs. Results can help clarify the relationship between health-related cognitions and actions, and impact the design of interventions that rely on the use of the CHB scale.
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来源期刊
Ohio Journal of Sciences
Ohio Journal of Sciences Multidisciplinary-Multidisciplinary
CiteScore
0.30
自引率
0.00%
发文量
13
期刊介绍: Published quarterly, plus the Annual Meeting Program Abstracts, The Ohio Journal of Science is the official publication of the Academy. The Journal publishes peer-reviewed, refereed papers contributing original knowledge to science, engineering, technology, education and their applications. The Journal is indexed and abstracted by many of the world"s leading indexing and abstracting services including State Academies of Science Abstracts which indexes the past 50 years of The Ohio Journal of Science.
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