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为何有些代际比其他代际更暴力:年龄、时期和队列效应的评估。

Why some generations are more violent than others: assessment of age, period, and cohort effects.

作者信息

Fabio Anthony, Loeber Rolf, Balasubramani G K, Roth Jeffrey, Fu Wenjiang, Farrington David P

机构信息

Department of Neurosurgery, Center for Injury Research and Control, School of Medicine, University of Pittsburgh, PA 15213, USA.

出版信息

Am J Epidemiol. 2006 Jul 15;164(2):151-60. doi: 10.1093/aje/kwj172. Epub 2006 Jun 14.

Abstract

Empirical longitudinal studies assessing why community-level violence rates change over time are lacking. Despite a wide-ranging literature, questions remain as to whether changes over time are due to factors occurring in specific periods (period effects) or individuals in successive cohorts (cohort effect). The objective was to assess the relative contribution of age, period, and cohort effects on violence trends. The authors assessed differences in self-reported violence between two cohorts of males (n = 1,009) from the Pittsburgh Youth Study, which tracked delinquency and risk factors from 1987 to 2000. The youngest cohort were aged 7-19 years, and the oldest cohort were aged 13-25 years. Yearly measures of violence were examined through generalized estimating equations. The oldest cohort reported higher levels of violence even after adjustment for age and major individual-level risk factors (odds ratio (OR) = 1.45, 95% confidence interval (CI): 1.17, 1.81) such as gang participation and drug dealing, as well as community-level factors (OR = 2.16, 95% CI: 1.65, 2.82). However, when period effects were included, cohort differences were rendered insignificant (OR = 1.23, 95% CI: 0.78, 1.94). The authors conclude that differences in the rates of violence over time may be attributed to changing social factors (period effects) and not to differences between the individuals (cohort effect) of cohorts.

摘要

缺乏评估社区层面暴力发生率随时间变化原因的实证纵向研究。尽管有大量文献,但关于随时间的变化是由于特定时期出现的因素(时期效应)还是连续队列中的个体(队列效应),仍存在疑问。目的是评估年龄、时期和队列效应在暴力趋势中的相对贡献。作者评估了匹兹堡青年研究中两组男性(n = 1,009)自我报告的暴力差异,该研究追踪了1987年至2000年的犯罪行为和风险因素。最年轻的队列年龄在7 - 19岁,最年长的队列年龄在13 - 25岁。通过广义估计方程对暴力的年度测量进行了检验。即使在调整了年龄和主要个体层面的风险因素(比值比(OR)= 1.45,95%置信区间(CI):1.17,1.81),如帮派参与和毒品交易,以及社区层面的因素(OR = 2.16,95% CI:1.65,2.82)之后,最年长的队列报告的暴力水平仍然较高。然而,当纳入时期效应时,队列差异变得不显著(OR = 1.23,95% CI:0.78,1.94)。作者得出结论,随着时间推移暴力发生率的差异可能归因于不断变化的社会因素(时期效应),而不是队列中个体之间的差异(队列效应)。

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