Information Processing in Illness Representation: Implications From an Associative-Learning Framework

被引:11
|
作者
Lowe, Rob [1 ]
Norman, Paul [2 ]
机构
[1] Swansea Univ, Dept Psychol, Singleton Pk, Swansea SA2 8PP, W Glam, Wales
[2] Univ Sheffield, Dept Psychol, Sheffield S10 2TN, S Yorkshire, England
关键词
illness representation; common-sense model; connectionist; memory; associative learning; COMMON-SENSE MODEL; PERCEPTION QUESTIONNAIRE; CONNECTIONIST; ATTRIBUTIONS; MANAGEMENT; ACTIVATION; HEALTH; BIAS;
D O I
10.1037/hea0000457
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Objective: The common-sense model (Leventhal, Meyer, & Nerenz, 1980) outlines how illness representations are important for understanding adjustment to health threats. However, psychological processes giving rise to these representations are little understood. To address this, an associative-learning framework was used to model low-level process mechanics of illness representation and coping-related decision making. Method: Associative learning was modeled within a connectionist network simulation. Two types of information were paired: Illness identities (indigestion, heart attack, cancer) were paired with illness-belief profiles (cause, timeline, consequences, control/ cure), and specific illness beliefs were paired with coping procedures (family doctor, emergency services, self-treatment). To emulate past experience, the network was trained with these pairings. As an analogue of a current illness event, the trained network was exposed to partial information (illness identity or select representation beliefs) and its response recorded. Results: The network (a) produced the appropriate representation profile (beliefs) for a given illness identity, (b) prioritized expected coping procedures, and (c) highlighted circumstances in which activated representation profiles could include self-generated or counterfactual beliefs. Conclusions: Encoding and activation of illness beliefs can occur spontaneously and automatically; conventional questionnaire measurement may be insensitive to these automatic representations. Furthermore, illness representations may comprise a coherent set of nonindependent beliefs (a schema) rather than a collective of independent beliefs. Incoming information may generate a " tipping point," dramatically changing the active schema as a new illness-knowledge set is invoked. Finally, automatic activation of well-learned information can lead to the erroneous interpretation of illness events, with implications for [inappropriate] coping efforts.
引用
收藏
页码:280 / 290
页数:11
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