Helen Koechlin, Carolina Donado, Cosima Locher, Joe Kossowsky, Francesca Lionetti, Michael Pluess
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A series of analysis of variances (ANOVAs) were calculated to detect differences between 3 SPS groups (ie, high, medium, and low sensitivity) regarding emotion regulation, quality of life, and pain features. Multiple linear regressions were conducted to predict pain intensity, pain-related disability, and quality of life.</p><p><strong>Results: </strong>In total, 103 participants completed the survey (68.9% female, M<sub>age</sub> 17.9). Back pain was the most frequently reported pain location. Proportion of highly sensitive individuals was large (45.68%). The ANOVA revealed significant differences between sensitivity groups related to quality-of-life subscales, namely, for physical (F(2, 100) = 7.42, <i>P</i> < 0.001), emotional (F(2, 100) = 6.11, <i>P</i> < 0.001), and school functioning (F(2, 100) = 3.75, <i>P</i> = 0.03). High sensitivity was not predictive of pain but of health-related quality of life.</p><p><strong>Conclusions: </strong>Our results indicate that SPS is an important and prevalent characteristic to consider in the context of chronic pain in adolescents, specifically regarding the quality of life.</p>","PeriodicalId":52189,"journal":{"name":"Pain Reports","volume":"8 1","pages":"e1053"},"PeriodicalIF":3.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829261/pdf/","citationCount":"1","resultStr":"{\"title\":\"Sensory processing sensitivity in adolescents reporting chronic pain: an exploratory study.\",\"authors\":\"Helen Koechlin, Carolina Donado, Cosima Locher, Joe Kossowsky, Francesca Lionetti, Michael Pluess\",\"doi\":\"10.1097/PR9.0000000000001053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Sensory processing sensitivity (SPS) describes a genetically influenced trait characterized by greater <i>depth</i> of information <i>processing</i>, lower sensory threshold, and ease of overstimulation. 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Back pain was the most frequently reported pain location. Proportion of highly sensitive individuals was large (45.68%). The ANOVA revealed significant differences between sensitivity groups related to quality-of-life subscales, namely, for physical (F(2, 100) = 7.42, <i>P</i> < 0.001), emotional (F(2, 100) = 6.11, <i>P</i> < 0.001), and school functioning (F(2, 100) = 3.75, <i>P</i> = 0.03). 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引用次数: 1
摘要
简介:感觉加工敏感性(SPS)描述了一种受遗传影响的特征,其特征是信息加工深度更大,感觉阈值更低,易于过度刺激。据推测,SPS在慢性疼痛中起着至关重要的作用。目的:本探索性研究在报告慢性疼痛的青少年样本中检验了SPS与疼痛强度和疼痛相关残疾的相关性。方法:通过社交媒体和专门的疼痛诊所联系报告慢性疼痛的青少年。参与者完成了关于SPS水平、疼痛特征、情绪调节和生活质量的在线问卷。计算一系列方差分析(ANOVAs),以检测3个SPS组(即高、中、低敏感组)在情绪调节、生活质量和疼痛特征方面的差异。采用多元线性回归预测疼痛强度、疼痛相关残疾和生活质量。结果:共103名参与者完成了调查(68.9%为女性,17.9%为男性)。背部疼痛是最常见的疼痛部位。高敏感个体比例较大(45.68%)。方差分析显示,与生活质量亚量表相关的敏感组之间存在显著差异,即身体(F(2,100) = 7.42, P < 0.001),情绪(F(2,100) = 6.11, P < 0.001)和学校功能(F(2,100) = 3.75, P = 0.03)。高敏感性不能预测疼痛,但可以预测健康相关的生活质量。结论:我们的研究结果表明,SPS是青少年慢性疼痛的一个重要和普遍的特征,特别是关于生活质量。
Sensory processing sensitivity in adolescents reporting chronic pain: an exploratory study.
Introduction: Sensory processing sensitivity (SPS) describes a genetically influenced trait characterized by greater depth of information processing, lower sensory threshold, and ease of overstimulation. It is hypothesized that SPS plays a crucial role in the context of chronic pain.Objectives: This exploratory study examined SPS as a correlate of pain intensity and pain-related disability in a sample of adolescents reporting chronic pain.
Methods: Adolescents reporting chronic pain were contacted through social media and through specialized pain clinics. Participants completed online questionnaires on their levels of SPS, pain features, emotion regulation, and quality of life. A series of analysis of variances (ANOVAs) were calculated to detect differences between 3 SPS groups (ie, high, medium, and low sensitivity) regarding emotion regulation, quality of life, and pain features. Multiple linear regressions were conducted to predict pain intensity, pain-related disability, and quality of life.
Results: In total, 103 participants completed the survey (68.9% female, Mage 17.9). Back pain was the most frequently reported pain location. Proportion of highly sensitive individuals was large (45.68%). The ANOVA revealed significant differences between sensitivity groups related to quality-of-life subscales, namely, for physical (F(2, 100) = 7.42, P < 0.001), emotional (F(2, 100) = 6.11, P < 0.001), and school functioning (F(2, 100) = 3.75, P = 0.03). High sensitivity was not predictive of pain but of health-related quality of life.
Conclusions: Our results indicate that SPS is an important and prevalent characteristic to consider in the context of chronic pain in adolescents, specifically regarding the quality of life.