Literature DB >> 23618203

An age-period-cohort approach to analyzing trends in suicide in Quebec between 1950 and 2009.

Gilles Légaré1, Denis Hamel.   

Abstract

OBJECTIVE: Suicide rates in Quebec over the second half of the 20th century show a wide range of variation depending on age and time period. However, few studies have verified the presence of a cohort effect affecting trends in Quebec suicide rates. This study is designed to evaluate the potential effects of age, period and cohort (APC) on trends in suicide between 1950 and 2009 in Quebec.
METHOD: For these APC analyses, we used a multiphase approach combining a graphical inspection followed by an analysis that isolates the cohort effect from age and period effects (linear regression of the residuals from a median polish of the rates).
RESULTS: The graphical inspection of trends in rates points to combined effects of age, period and cohort among both men and women. However, the median polish analysis attributes primary importance to period effects, followed by age effects, but also shows weak cohort effects that are significant only among men born between 1950 and 1979.
CONCLUSION: The variation in Quebec suicide rates appears to be primarily a reflection of period, age and, to a lesser degree, birth cohort. Thus, in addition to sex, selection of risk groups should be based more on age and time period than on birth cohort.

Entities:  

Keywords:  Quebec; age-period-cohort; cohort effect; median polish; suicide

Mesh:

Year:  2013        PMID: 23618203

Source DB:  PubMed          Journal:  Can J Public Health        ISSN: 0008-4263


  4 in total

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2.  Testing Persistence of Cohort Effects in the Epidemiology of Suicide: an Age-Period-Cohort Hysteresis Model.

Authors:  Louis Chauvel; Anja K Leist; Valentina Ponomarenko
Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

3.  Incidence, Prevalence, and Mortality Trends in Chronic Obstructive Pulmonary Disease over 2001 to 2011: A Public Health Point of View of the Burden.

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Journal:  Can Respir J       Date:  2016-07-11       Impact factor: 2.409

4.  Using weighted regression model for estimating cohort effect in age-period contingency table data.

Authors:  I-Shiang Tzeng; Chau Yee Ng; Jau-Yuan Chen; Li-Shya Chen; Chin-Chieh Wu
Journal:  Oncotarget       Date:  2018-04-13
  4 in total

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