Social and environmental variables as predictors of mania: a review of longitudinal research findings.

Discover mental health Pub Date : 2022-01-01 Epub Date: 2022-03-14 DOI:10.1007/s44192-022-00010-5
Sheri L Johnson, Benjamin Z S Weinberg
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引用次数: 3

Abstract

Considerable evidence suggests that psychosocial variables can shape the course of bipolar disorder. Here, though, we focus on the more specific idea that the social environment can predict the course of mania. We systematically review evidence from longitudinal studies concerning how social support, family interactions, traumatic life events, and recent life events relate to the age of onset, the frequency of episode recurrence, and the severity of manic symptoms. Although we find some evidence that the course of mania can be worsened by social environmental factors, the links are specific. Among social variables, some studies indicate that conflict and hostility are predictive, but more general social relationship qualities have not been found to predict mania. Some research indicates that childhood trauma, and recent life events involving goal attainment or sleep disruption can predict mania. Taken together, the profile of variables involving recent exposure that are most predictive include those that are activating, reward-related, or sleep-disrupting, which fits with general psychological hypotheses of behavioral activation and sleep disruption as important for mania. We discuss gaps in the literature, and we note future directions for research, including the need for more integrative, longitudinal research on a fuller range of social and biological risk variables.

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社会和环境变量作为躁狂的预测因子:纵向研究结果的回顾。
大量证据表明,社会心理变量可以影响双相情感障碍的病程。然而,在这里,我们关注的是更具体的观点,即社会环境可以预测躁狂的过程。我们系统地回顾了来自纵向研究的证据,这些研究涉及社会支持、家庭互动、创伤性生活事件和近期生活事件与躁狂症状的发病年龄、复发频率和严重程度之间的关系。虽然我们发现一些证据表明,躁狂的病程可能会因社会环境因素而恶化,但这种联系是特定的。在社会变量中,一些研究表明冲突和敌意是可预测的,但尚未发现更一般的社会关系质量可以预测躁狂。一些研究表明,童年创伤、近期生活中涉及目标实现或睡眠中断的事件可以预测躁狂症。综上所述,与近期暴露有关的变量概况最具预测性的包括那些激活、奖励相关或睡眠中断的变量,这与行为激活和睡眠中断对躁狂很重要的一般心理学假设相吻合。我们讨论了文献中的空白,并指出了未来的研究方向,包括需要对更全面的社会和生物风险变量进行更综合的纵向研究。
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