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首页> 外文期刊>Psychosomatic Medicine: Journal of the American Psychosomatic Society >Exploring the Association of Hypertension With Risk for Depression: Evidence for Tamed Neurobehavioral Arousal Versus Central Emotional Dysregulation
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Exploring the Association of Hypertension With Risk for Depression: Evidence for Tamed Neurobehavioral Arousal Versus Central Emotional Dysregulation

机译:探索抑郁症风险的高血压协会:驯服神经兽性唤醒的证据与中央情绪化失调

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Depression is an established predictor of adverse cardiovascular disease outcomes. Less is known about cardiovascular risk factors as predictors of depression. In this issue of Psychosomatic Medicine (2018;80:508-514), Patel et al. report data indicating that pre-existing hypertension may be inversely associated with the atypical but not typical form of depression. We highlight here the strengths and limitations of the article and discuss the findings in light of research linking blood pressure and emotion regulation. In general, evidence suggests that higher blood pressure is associated with reduced expression of negative emotions and pain. Two prominent models of interaction have been proposed and supported by epidemiological and experimental research: one assumes that elevations in blood pressure lead to reduced arousal and pain sensitivity through baroreceptor activation and possibly additional afferent mechanisms. Operant conditioning may then result in (chronic) hypertension. The other one posits that impaired emotion processing as indicated by dampened emotion recognition may lead to disinhibition of hypothalamic centers and thereby result in sustained increases in blood pressure. These models are described in context of the current literature and open research questions are formulated.
机译:抑郁是一种不良心血管疾病结果的既定预测因子。较少是众所周知的心血管危险因素作为抑郁症的预测因素。在这一问题的心理学医学(2018; 80:508-514)中,Patel等人。报告数据表明预先存在的高血压可能与非典型但不是典型的抑郁形式相反。我们突出了文章的优势和局限性,并根据研究与血压和情感调节的研究讨论了调查结果。一般而言,证据表明,较高的血压与减少负面情绪和疼痛的表达有关。通过流行病学和实验研究提出并支持了两个突出的互动模型:假设血压的升高导致通过呼吸器激活和可能额外的传入机制降低唤醒和疼痛敏感性。然后可以导致(慢性)高血压。如抑制情感识别所示的其他情绪处理受损的另一个位置可能导致禁止下丘脑中心,从而导致血压持续增加。这些模型在当前文献和开放研究问题的背景下描述了。

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