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首页> 外文期刊>Psychosomatic Medicine: Journal of the American Psychosomatic Society >Positive and negative affect dimensions in chronic knee osteoarthritis: Effects on clinical and laboratory pain
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Positive and negative affect dimensions in chronic knee osteoarthritis: Effects on clinical and laboratory pain

机译：慢性膝骨关节炎的正面和负面影响范围：对临床和实验室疼痛的影响

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OBJECTIVE: This study investigated whether daily and laboratory assessed pain differs as a function of the temporal stability and valence of affect in individuals with chronic knee osteoarthritis (KOA). METHODS: One hundred fifty-one men and women with KOA completed 14 days of electronic diaries assessing positive affect (PA), negative affect (NA), and clinical pain. A subset of participants (n =79) engaged in quantitative sensory testing (QST). State PA and NA were assessed prior to administration of stimuli that induced suprathreshold pain and temporal summation. Multilevel modeling and multiple regression evaluated associations of affect and pain as a function of valence (i.e., positive versus negative) and stability (i.e., stable versus state). RESULTS: In the diary, stable NA (B = -.63, standard error [SE] = .13, p < .001) was a stronger predictor of clinical KOA pain than stable PA (B = -.18, SE = .11, p = .091), and state PA (B = -.09, p < .001) was a stronger predictor of concurrent daily clinical pain than state NA (B = .04, SE = .02, p = .068). In the laboratory, state PA (B = -.05, SE = .02, p = .042), but not state NA (p = .46), predicted diminished temporal summation of mechanical pain. CONCLUSIONS: Stable NA is more predictive of clinical pain than stable PA, whereas state PA is more predictive of both clinical and laboratory pain than state NA. The findings suggest that dynamic affect-pain processes in the field may reflect individual differences in central pain facilitation.
机译：目的：本研究调查了慢性膝关节骨关节炎（KOA）患者的日常疼痛和实验室评估的疼痛是否随时间稳定性和影响价而变化。方法：151名患有KOA的男性和女性完成了14天的电子日记，评估了正面影响（PA），负面影响（NA）和临床疼痛。参加定量感官测试（QST）的参与者子集（n = 79）。在给予诱发上阈疼痛和颞总和的刺激之前，评估状态PA和NA。多级建模和多元回归评估了情感和痛苦与效价（即积极与消极）和稳定性（即稳定与状态）之间的关系。结果：在日记中，稳定的NA（B = -.63，标准误[SE] = .13，p <.001）比稳定的PA（B = -.18，SE =）更能预测临床KOA疼痛。 11，p = .091）和状态PA（B = -.09，p <.001）比状态NA（B = .04，SE = .02，p = .068）更能预测每日并发的临床疼痛）。在实验室中，状态PA（B = -.05，SE = .02，p = .042），但不是状态NA（p = .46），预测机械疼痛的时间总和减少。结论：稳定的NA比稳定的PA更能预示临床疼痛，而状态PA比状态NA更能预示临床和实验室疼痛。研究结果表明，现场的动态疼痛过程可能反映了中央疼痛促进的个体差异。

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