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一项关于青少年愤怒预测因素的元分析研究。

A meta-analytic study of predictors of anger in adolescents.

机构信息

College of Nursing, Rutgers, The State University of New Jersey, NJ 07002, USA.

出版信息

Nurs Res. 2010 May-Jun;59(3):178-84. doi: 10.1097/NNR.0b013e3181dbba04.

Abstract

BACKGROUND

There is a vast body of empirical work on adolescent anger, but no efforts have been made to summarize findings across nonintervention studies.

OBJECTIVES

The aims of this study were to identify predictors for anger in adolescents through a comprehensive review of the literature, to use quantitative meta-analysis to determine the magnitude of the relationship between each predictor and anger, and to examine the influence of selected moderators on the relationship between each predictor and anger.

METHOD

The literature review included 288 published studies and 87 unpublished doctoral dissertation completed between 1980 and 2007, of which 88 met the inclusion criteria. Twelve prominent predictors for anger were identified in the 88 studies. Each predictor related to anger was subjected to a meta-analysis.

RESULTS

Five predictors (trait anger, anxiety, depression, stress, and exposure to violence) had moderate to substantial average effect sizes, four predictors (victim of violence, hostility, self-esteem, and social support) had low to moderate effect sizes, and three predictors (age, race/ethnicity, and gender) had trivial effect sizes.

DISCUSSION

The findings are interpreted for nine predictors in relation to anger. The contributions and limitations of these meta-analyses are addressed, and future studies are recommended.

摘要

背景

有大量关于青少年愤怒的实证研究,但没有努力对非干预研究的发现进行总结。

目的

本研究旨在通过对文献的全面回顾,确定青少年愤怒的预测因素,使用定量元分析来确定每个预测因素与愤怒之间关系的强度,并检查选定的调节因素对每个预测因素与愤怒之间关系的影响。

方法

文献综述包括 1980 年至 2007 年间发表的 288 项研究和 87 项未发表的博士论文,其中 88 项符合纳入标准。在 88 项研究中确定了 12 个与愤怒相关的主要预测因素。对每个与愤怒相关的预测因素进行了元分析。

结果

五个预测因素(特质愤怒、焦虑、抑郁、压力和暴力暴露)具有中等到较大的平均效应大小,四个预测因素(暴力受害者、敌意、自尊和社会支持)具有低到中等的效应大小,三个预测因素(年龄、种族/族裔和性别)具有微不足道的效应大小。

讨论

根据九个预测因素与愤怒的关系对这些发现进行了解释。讨论了这些元分析的贡献和局限性,并建议进行未来的研究。

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