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从生物心理社会角度预测慢性肌肉骨骼疼痛个体的身心健康状况:一种多变量方法。

Predicting the Physical and Mental Health Status of Individuals With Chronic Musculoskeletal Pain From a Biopsychosocial Perspective: A Multivariate Approach.

机构信息

Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.

Department of Psychology, McGill University, Montreal, Quebec, Canada.

出版信息

Clin J Pain. 2021 Mar 1;37(3):211-218. doi: 10.1097/AJP.0000000000000913.

Abstract

OBJECTIVES

Chronic pain is theoretically conceptualized from a biopsychosocial perspective. However, research into chronic pain still tends to focus on isolated, biological, psychological, or social variables. Simultaneous examination of these variables in the prediction of outcomes is important because communalities between predictors exist. Examination of unique contributions might help guide research and interventions in a more effective way.

METHODS

The participants were 114 individuals with chronic pain (mean age=58.81, SD=11.85; 58.8% women and 41.2% men) who responded to demographics (age and sex), pain characteristics (duration and sensory qualities), psychological (catastrophizing and perceived injustice), and social (marital adjustment) measures. Multivariate analyses were conducted to investigate their unique contributions to pain-related health variables pain severity, pain interference, disability, anxiety, and depressive symptoms.

RESULTS

Bivariate analyses evidenced significant associations between pain sensory qualities, catastrophizing, perceived injustice, and all health variables. In multivariate analyses, pain sensory qualities were associated with pain severity (β=0.10; 95% confidence interval [CI]=0.05, 0.14; t=4.28, P<0.001), while perceived injustice was associated with pain interference (β=0.08; 95% CI=0.03, 0.12; t=3.59, P<0.001), disability (β=0.25; 95% CI=0.08, 0.42; t=2.92, P=0.004), anxiety (β=0.18; 95% CI=0.08, 0.27; t=3.65, P<0.001), and depressive symptoms (β=0.14; 95% CI=0.05, 0.23; t=2.92, P=0.004). Age, sex, pain duration, and marital adjustment were not associated with health variables either in bivariate or in multivariate analyses (all P>0.010).

DISCUSSION

As expected, communalities between biopsychosocial variables exist, which resulted in a reduced number of unique contributions in multivariate analyses. Perceived injustice emerged as a unique contributor to variables, which points to this psychological construct as a potentially important therapeutic target in multidisciplinary treatment of pain.

摘要

目的

慢性疼痛从生物心理社会角度进行理论概念化。然而,慢性疼痛的研究仍然倾向于关注孤立的、生物学的、心理学的或社会的变量。同时检查这些变量对结果的预测很重要,因为预测因子之间存在共性。检查独特的贡献可能有助于以更有效的方式指导研究和干预。

方法

参与者为 114 名慢性疼痛患者(平均年龄=58.81,标准差=11.85;58.8%为女性,41.2%为男性),他们回答了人口统计学(年龄和性别)、疼痛特征(持续时间和感觉质量)、心理(灾难化和感知不公正)和社会(婚姻调整)方面的问题。进行了多元分析,以研究疼痛感觉质量、灾难化和感知不公正对疼痛相关健康变量(疼痛严重程度、疼痛干扰、残疾、焦虑和抑郁症状)的独特贡献。

结果

双变量分析表明疼痛感觉质量、灾难化、感知不公正与所有健康变量之间存在显著关联。在多元分析中,疼痛感觉质量与疼痛严重程度相关(β=0.10;95%置信区间[CI]为 0.05,0.14;t=4.28,P<0.001),而感知不公正与疼痛干扰相关(β=0.08;95% CI=0.03,0.12;t=3.59,P<0.001),残疾(β=0.25;95% CI=0.08,0.42;t=2.92,P=0.004),焦虑(β=0.18;95% CI=0.08,0.27;t=3.65,P<0.001)和抑郁症状(β=0.14;95% CI=0.05,0.23;t=2.92,P=0.004)。年龄、性别、疼痛持续时间和婚姻调整在双变量或多变量分析中均与健康变量无关(均 P>0.010)。

讨论

正如预期的那样,生物心理社会变量之间存在共性,这导致多元分析中独特贡献的数量减少。感知不公正成为变量的一个独特贡献,这表明这种心理结构可能是多学科疼痛治疗的一个潜在重要治疗靶点。

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