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Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes
OBJECTIVES: (1) Estimate age, period and cohort effects for motorcyclist traffic casualties 1979–2008 in New Zealand and (2) forecast the incidence of New Zealand motorcycle traffic casualties for the period 2019–2023 assuming future age, cohort and period effects, and compare these with an estimate...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664376/ https://www.ncbi.nlm.nih.gov/pubmed/22753530 http://dx.doi.org/10.1136/injuryprev-2012-040345 |
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author | Langley, John Samaranayaka, Ari Begg, Dorothy J |
author_facet | Langley, John Samaranayaka, Ari Begg, Dorothy J |
author_sort | Langley, John |
collection | PubMed |
description | OBJECTIVES: (1) Estimate age, period and cohort effects for motorcyclist traffic casualties 1979–2008 in New Zealand and (2) forecast the incidence of New Zealand motorcycle traffic casualties for the period 2019–2023 assuming future age, cohort and period effects, and compare these with an estimate based on simple linear extrapolation. METHODS: Age-period-cohort (APC) modelling was used to estimate the individual effects of age, period and cohort after adjusting for the other two factors. Forecasting was produced for three period-effect scenarios. RESULTS: After adjusting for cohort and period effects, 15–19-year-olds have substantially elevated risk. The period effect reduced in significance over time until the last period, 2004–2008, where the risk was higher than the preceding period. The 10-year cohorts born 1949–1958, 1954–1963, 1959–1968 and 1964–1973, had elevated risk. The forecasting, based on APC modelling, resulted in the lowest estimates of the future incidence being approximately one-third that of the highest estimate (6641). CONCLUSION: Trends in motorcycle casualties have been influenced by significant independent age, period and cohort effects. These need to be considered in forecasting future casualties. The selection of the period effect has a significant impact on the estimates. Which period-effect scenario readers choose to accept depends on their views about a wide range of factors which might influence motorcycle use and crash risk over time. |
format | Online Article Text |
id | pubmed-3664376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-36643762013-05-31 Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes Langley, John Samaranayaka, Ari Begg, Dorothy J Inj Prev Original Article OBJECTIVES: (1) Estimate age, period and cohort effects for motorcyclist traffic casualties 1979–2008 in New Zealand and (2) forecast the incidence of New Zealand motorcycle traffic casualties for the period 2019–2023 assuming future age, cohort and period effects, and compare these with an estimate based on simple linear extrapolation. METHODS: Age-period-cohort (APC) modelling was used to estimate the individual effects of age, period and cohort after adjusting for the other two factors. Forecasting was produced for three period-effect scenarios. RESULTS: After adjusting for cohort and period effects, 15–19-year-olds have substantially elevated risk. The period effect reduced in significance over time until the last period, 2004–2008, where the risk was higher than the preceding period. The 10-year cohorts born 1949–1958, 1954–1963, 1959–1968 and 1964–1973, had elevated risk. The forecasting, based on APC modelling, resulted in the lowest estimates of the future incidence being approximately one-third that of the highest estimate (6641). CONCLUSION: Trends in motorcycle casualties have been influenced by significant independent age, period and cohort effects. These need to be considered in forecasting future casualties. The selection of the period effect has a significant impact on the estimates. Which period-effect scenario readers choose to accept depends on their views about a wide range of factors which might influence motorcycle use and crash risk over time. BMJ Group 2013-06 2012-06-30 /pmc/articles/PMC3664376/ /pubmed/22753530 http://dx.doi.org/10.1136/injuryprev-2012-040345 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
spellingShingle | Original Article Langley, John Samaranayaka, Ari Begg, Dorothy J Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes |
title | Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes |
title_full | Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes |
title_fullStr | Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes |
title_full_unstemmed | Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes |
title_short | Age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes |
title_sort | age, period and cohort effects on the incidence of motorcyclist casualties in traffic crashes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664376/ https://www.ncbi.nlm.nih.gov/pubmed/22753530 http://dx.doi.org/10.1136/injuryprev-2012-040345 |
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