灾难中的心理危机干预——精神病学的视角

灾难事件是一种特殊类型的生活事件,因其超出个体应对能力,因此灾难事件后常并发一系列的精神卫生问题。急性应激障碍、创伤后应激障碍、抑郁症、自杀是灾后常见精神卫生问题。本文回顾了近年来灾难事件相关精神障碍的研究,并总结了去年发生在我国的两次重大灾难性事件的相关研究结果,从精神病学视角对灾难事件后心理危机干预策略进行了探讨。     

Zhuangzi the Poet: Re-Reading the Peng Bird Image

The image of the Peng bird, which opens the Zhuangzi text, is not the product of metaphysical reasoning. An inspiring example of soaring up and going beyond, the image is used to broaden the outlook of the small mind; its function is thus more therapeutic than instructional. With its rich poetic and experiential content, the image of the Peng refuses to be reduced to an abstract concept, or a mere signifier of certain philosophical position. Misreading of the image results from any attempt to accurately “size up” its philosophical implication by measuring it quantitatively against a spectrum of positions and values. To see only the superficial “inconsistencies” in Zhuangzi’s argument and to read the wind under the Peng’s wings as a handicap that it needs to overcome in order to embark on its “free and easy wandering” is, in the name of logic and “consistency,” to ignore the big picture Zhuangzi presents.     

关于严重突发事件危机干预的研究评述

对国外关于严重突发事件危机干预的研究作了概览与评述。认为有两点值得关注：其一,危机干预中的评估的重要性。在干预中,评估是进行干预的前提条件,更贯穿干预过程的始终。干预者必须通过不断评估确定危机的严重程度,不断确定当事人的心理状态,才能确定采用相应的应付策略和支持系统等。其二,国外许多不同的干预模式具有3个特征：一是阶段划分技术,将干预过程划分为不同的阶段,针对不同阶段的特点采取不同的措施与策略。二是整合倾向,将不同的干预模式、支持资源加以整合,使干预的效果达到最佳水平。三是特异性发展,即针对不同人群、不同应激情境作深度拓展,发挥干预的特异性效果。“非典”流行对我国的危机干预体系是一个严峻的考验,我国面对严重突发事件的危机干预体系还有待于健全。虽然不能照搬外国的干预模式,但是其思路与技术、经验与教训还是值得我们借鉴的。     

Normische Gesetzeshypothesen und die wissenschaftsphilosophische Bedeutung des nichtmonotonen Schliessens

Normic Laws and the Significance of Nonmonotonic Reasoning for Philosophy of Science. Normic laws have the form ‘if A then normally B’. They have been discovered in the explanation debate, but were considered as empirically vacuous (§1). I argue that the prototypical (or ideal) normality of normic laws implies statistical normality (§2), whence normic laws have empirical content. In §3–4 I explain why reasoning from normic laws is nonmonotonic, and why the understanding of the individual case is so important here. After sketching some foundations of nonmonotonic reasoning as developed by AI-researchers (§5), Iargue that normic laws are also the best way to understand ceteris paribus laws (§6). §7 deals with the difference between physical and non-physical disciplines and §9 with the difference between normicity and approximation. In §8 it is shown how nonmonotonic reasoning provides a new understanding of the protection of theories against falsification by auxiliary hypotheses. §10, finally, gives a system- and evolution-theoretical explanation of the deeper reason for the omnipresence of normic laws in practice and science, and forthe connection between ideal and statistical normality. This revised version was published online in August 2006 with corrections to the Cover Date.     

基于心理痛苦理论与决策树的中学生心理危机分类模型

中学生心理危机分类模型属于复杂数据模型，本文采用分类树算法探究家庭、校园、同伴和个体因素在中学生心理危机分类中的相对重要性差异，尤其是心理痛苦三因素对致死性危机的独特作用。结果显示：（1）中学生自杀危机和非致死性危机分类树的分类效果良好，自伤危机分类树的分类效果欠佳；（2）中学生自杀危机中，痛苦逃避最为重要，痛苦唤醒次之，之后为痛苦体验和学校满意度；（3）中学生自伤危机中，同伴问题行为最为重要，之后为父母陪伴和家庭监督；（4）中学生非致死性危机中，歧视知觉最为重要，之后为痛苦唤醒和同伴支持。提示中学生不同心理危机的促发机制存在差异，心理痛苦三因素模型在自杀分类模型中作用显著，但并非自伤危机和非致死性危机的关键变量。     

An overview of applied robust methods

Data in social sciences are typically non-normally distributed and characterized by heavy tails. However, most widely used methods in social sciences are still based on the analyses of sample means and sample covariances. While these conventional methods continue to be used to address new substantive issues, conclusions reached can be inaccurate or misleading. Although there is no ‘best method’ in practice, robust methods that consider the distribution of the data can perform substantially better than the conventional methods. This article gives an overview of robust procedures, emphasizing a few that have been repeatedly shown to work well for models that are widely used in social and behavioural sciences. Real data examples show how to use the robust methods for latent variable models and for moderated mediation analysis when a regression model contains categorical covariates and product terms. Results and logical analyses indicate that robust methods yield more efficient parameter estimates, more reliable model evaluation, more reliable model/data diagnostics, and more trustworthy conclusions when conducting replication studies. R and SAS programs are provided for routine applications of the recommended robust method.     

See the devil and tame him

Born in 1921, professor of philosophy at the University of Warsaw and art theory in the Polish Academy of Sciences; has published twelve books and more than three hundred articles (bibliography in volume 14 of A. Mercier (ed.).Philosophers on Their Own Work. Bern: 1990) ranging over the history of aesthetics, Marxist and Soviet aesthetics, and issues related to the status of the arts in contemporary Western culture.     

Ecological influences in youth crisis shelters: Effects of social density and length of stay on youth problem behaviors

For 472 consecutive days we monitored the number of youths residing in a crisis shelter for adolescents, the average length of stay for the youths residing in the shelter on each day, and the number of problem behaviors occurring within the shelter on a daily basis. We analyzed these data using a combination of time series and logistic regression techniques to fit a model that would predict the occurrence of a problem behavior on any given day. After controlling for significant time trends in the data, our results indicate that both the number of youths in the shelter and the proportion of youths who have resided in the shelter longer than 14 days are significantly associated with a problem behavior occurring on any given day. The number of youths in the shelter and the probability of a problem behavior occurring correlated significantly. However, as the proportion of youths who resided in the shelter longer than 14 days increased, the probability of a problem behavior occurring decreased.     

A behavioral analysis of incentive prompts for motivating seat belt use

The seat belt usage of drivers was observed at the entrance to two campus parking lots during morning arrival times. After 11 days of baseline, fliers which prompted seat belt wearing were handed to drivers of incoming vehicles. At one parking lot all fliers offered a chance to win a prize (noncontingent rewards); while at the second lot only those fliers given to seat belt wearers included a chance to win a prize (contingent rewards). After 24 consecutive observation days, these interventions were removed for 14 days of withdrawal. The recording of vehicle license plates enabled an analysis of belt usage per individual over repeated exposures to the experimental conditions. At the lot with the contingent reward intervention, mean belt usage was 26.3% during baseline, 45.7% during treatment, and 37.9% during withdrawal. At the noncontingent reward lot, the mean percentage of belt wearing was 22.2% during baseline, 24.1% during treatment, and 21.8% during withdrawal. The analysis of repeated exposures per individual verified that only contingent rewards influenced substantial increases in belt wearing, and showed that most of the influence occurred after the initial incentive prompt.     

The role of self-compassion during difficult economic times

Background and objectives: The negative effects of the financial crisis of 2007/2008 are still being felt today as seen in the relatively high levels of youth unemployment in many countries. As a result, many young people experience high stress levels when facing an uncertain and precarious job market.

Methods: Participants were 178 undergraduate students (79% female; M_age?=?20.00, SD?=?4.29) who were randomly assigned to read a news article that documented an uncertain financial future with limited job opportunities (the economic stress group), or an article that documented a tour of the Royal Canadian Mint (the control group). The role of self-compassion was explored in its relation to distress.

Results: Correlational and hierarchical regression analyses indicated that, in the economic stress group, self-compassion negatively predicted anxiety above and beyond self-esteem and familial support. In the control group, however, self-compassion did not negatively predict anxiety above and beyond self-esteem and familial support. Additionally, structural equation modeling indicated that self-compassion was directly associated with lower anxiety and indirectly related to anxiety through perceptions of financial threat.

Conclusions: These findings suggest that self-compassion may be an important resource that is associated with less distress during times of economic threat.