General and Illness-specific Predictors of Adaptation to Chronic Illnesses: Cognitive Appraisals and Illness-related Beliefs

IF 1 4区 心理学 Q4 PSYCHOLOGY, EXPERIMENTAL Advances in Cognitive Psychology Pub Date : 2021-08-12 DOI:10.21203/rs.3.rs-779105/v1
Daniel Pankowski, K. Wytrychiewicz-Pankowska, K. Janowski, E. Pisuła, A. Fal
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引用次数: 1

Abstract

Background The literature indicates that cognitive appraisals and illness-related beliefs are the key cognitive factors that affect the outcomes of psychological adaptation to chronic illnesses. The main aim of the study was to identify which cognitive appraisals and illness-related beliefs are the best predictors of adaptation to living with chronic illnesses as well as which of these predictors are universal and which are illness-specific. Methods This study analyzed data collected online from 505 participants who reported diagnoses of rheumatoid arthritis, asthma, hypothyroidism, diabetes, and hypertension. Results Adaptation indicators (i.e., depressive symptoms and level of acceptance of living with the disease) differed significantly across samples with different medical diagnoses. Additionally, illness-related cognitive appraisals but not illness-related beliefs made a statistically significant specific contribution to explaining the variance in adaptation indices. Conclusions The predictors of adaptation to living with the disease differ between the diagnoses and the adjustment indicators. The results can contribute to a better matching of therapeutic interventions as well as social campaigns aimed at the ill people.
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慢性疾病适应的一般和疾病特异性预测因子:认知评价和疾病相关信念
文献表明认知评价和疾病相关信念是影响慢性疾病心理适应结果的关键认知因素。该研究的主要目的是确定哪些认知评估和与疾病相关的信念是适应慢性疾病生活的最佳预测因素,以及这些预测因素中哪些是普遍的,哪些是特定疾病的。方法本研究分析了505名报告诊断为类风湿关节炎、哮喘、甲状腺功能减退、糖尿病和高血压的参与者的在线数据。结果适应指标(即抑郁症状和与疾病共存的接受程度)在不同医学诊断的样本中存在显著差异。此外,与疾病相关的认知评价,而不是与疾病相关的信念,对解释适应指数的差异做出了统计上显著的具体贡献。结论不同诊断和调整指标对疾病生存适应的预测指标存在差异。研究结果有助于更好地匹配治疗干预措施以及针对患者的社会运动。
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来源期刊
Advances in Cognitive Psychology
Advances in Cognitive Psychology PSYCHOLOGY, EXPERIMENTAL-
CiteScore
1.60
自引率
0.00%
发文量
16
审稿时长
14 weeks
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