数学和病态焦虑:数值和概率推理在风险扭曲中的作用
Jaime R G Quiles1, Frederick T Schubert1, Norman B Schmidt1
1Department of Psychology, Florida State University, 1107 West Call Street, Tallahassee, FL 32304, USA.
Cognitive behaviour therapy
|September 4, 2025
概括
这项研究表明,虽然数学的能力并不能直接预测焦虑,但较低的数学的能力通过不容忍不确定性间接增加了焦虑. 这突显了算术能力是焦虑症发展的新风险因素.
科学领域:
- 心理学
- 认知科学
- 临床心理学
背景情况:
- 错误的风险评估是焦虑的一个关键因素.
- 焦虑敏感性 (AS) 和不容忍不确定性 (IU) 是已知的焦虑认知风险因素.
- 数学或概率推理能力在焦虑中的作用仍未得到充分研究.
研究的目的:
- 调查计算能力与焦虑之间的关系.
- 与已确定的风险因素 (如AS和IU) 一起检查计算能力的作用.
- 通过这些风险因素评估数学的间接影响.
主要方法:
- 在本科生 (n=74) 中分析了数学能力,焦虑,IU和AS.
- 逐步回归发现了焦虑的预测因素.
- 通过IU和AS评估了计算能力对焦虑的间接影响.
主要成果:
- 仅与IU有显著的相关性.
- 数量不是焦虑的直接预测因素;AS和IU仍然显著.
- 通过IU发现了计算能力对焦虑的显著间接影响.
结论:
- 数量通过IU间接与焦虑有关,这表明它是一个新的临床风险指标.
- 这项研究指出,计算能力是潜在的焦虑的广泛风险/保护因素.
- 研究结果表明,针对焦虑症认知扭曲的治疗方法有新途径.
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