Literature DB >> 16775045

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

Anthony Fabio1, Rolf Loeber, G K Balasubramani, Jeffrey Roth, Wenjiang Fu, David P Farrington.   

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.

Entities:  

Mesh:

Year:  2006        PMID: 16775045     DOI: 10.1093/aje/kwj172

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  6 in total

Review 1.  Neurobiology and the development of violence: common assumptions and controversies.

Authors:  Rolf Loeber; Dustin Pardini
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-08-12       Impact factor: 6.237

2.  Marginal and Random Intercepts Models for Longitudinal Binary Data With Examples From Criminology.

Authors:  Jeffrey D Long; Rolf Loeber; David P Farrington
Journal:  Multivariate Behav Res       Date:  2009-01-01       Impact factor: 5.923

3.  Investigating the effect of social changes on age-specific gun-related homicide rates in New York City during the 1990s.

Authors:  Magdalena Cerdá; Steven F Messner; Melissa Tracy; David Vlahov; Emily Goldmann; Kenneth J Tardiff; Sandro Galea
Journal:  Am J Public Health       Date:  2010-04-15       Impact factor: 9.308

4.  Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem.

Authors:  Liying Luo
Journal:  Demography       Date:  2013-12

5.  Effects of childhood maltreatment on violent injuries and premature death during young adulthood among urban high-risk men.

Authors:  Chioun Lee; Helene R White
Journal:  Arch Pediatr Adolesc Med       Date:  2012-09-01

6.  Social change and cohort differences in group-based arrest trajectories over the last quarter-century.

Authors:  Roland Neil; Robert J Sampson; Daniel S Nagin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-03       Impact factor: 11.205

  6 in total

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