Blue light influences negative thoughts of self.

IF 4.9 2区 医学 Q1 Medicine Sleep Pub Date : 2025-07-11 DOI:10.1093/sleep/zsaf034
Malisa T Burge, Ronel A Lumapas, Alicia C Lander, Brianna G Thomas, Andrew J K Phillips, Sean W Cain
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Abstract

Darkness is equated with sadness. This study explored how light that differentially impacts non-visual photoreception (blue-enriched vs. blue-depleted light) affects how we feel about ourselves. In a repeated-measured design, 35 participants (22 female participants, 13 male participants, Mage = 20.29, SD = 2.09) completed the self-referential encoding task (SRET) under both blue-enriched or blue-depleted light conditions, with light conditions randomized and counterbalanced between sessions. The SRET involved participants deciding whether positive (e.g. "good") and negative (e.g. "terrible") words were self-descriptive. Trial-by-trial performance analysis using logistic mixed effects models revealed that blue-enriched light significantly increased the likelihood of rejecting negative words as self-descriptive. A hierarchical drift-diffusion model (HDDM) further examined latent decision-making processes and found evidence accumulation to be faster under blue-enriched light when rejecting negative descriptors, suggesting rejecting negative self-descriptors was easier under blue-enriched light. We find light can acutely influence self-perception, with blue-enriched light decreasing negative self-thoughts.

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蓝光影响自我的消极思想。
黑暗等同于悲伤。这项研究探讨了不同的光对非视觉光感受力的影响(蓝富集光和蓝贫光)如何影响我们对自己的感觉。在重复测量的设计中,35名参与者(22名女性参与者,13名男性参与者,Mage = 20.29, SD = 2.09)在蓝富光和蓝贫光条件下完成了自我参照编码任务(SRET),光照条件随机分配,在两次测试之间平衡。在SRET测试中,参与者需要判断积极词汇(如“好”)和消极词汇(如“糟糕”)是否属于自我描述。使用逻辑混合效应模型进行的试验绩效分析显示,蓝光显著增加了拒绝消极词汇作为自我描述的可能性。层次漂移扩散模型(HDDM)进一步研究了潜在的决策过程,发现在富蓝光下,当拒绝负面描述符时,证据积累速度更快,这表明在富蓝光下更容易拒绝负面自描述符。我们发现光线可以强烈地影响自我感知,富含蓝色的光线可以减少消极的自我想法。
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来源期刊
Sleep
Sleep Medicine-Neurology (clinical)
CiteScore
8.70
自引率
10.70%
发文量
0
期刊介绍: SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.
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