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Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis
OBJECTIVES: To assess age, period, and birth cohort effects and patterns of obesity-attributable mortality in Czech Republic, Finland, France, Germany, Hungary, Italy, Poland, and the UK (UK). METHODS: We obtained obesity prevalence and all-cause mortality data by age (20–79), sex and country for 19...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015618/ https://www.ncbi.nlm.nih.gov/pubmed/29868930 http://dx.doi.org/10.1007/s00038-018-1126-2 |
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author | Vidra, Nikoletta Bijlsma, Maarten J. Trias-Llimós, Sergi Janssen, Fanny |
author_facet | Vidra, Nikoletta Bijlsma, Maarten J. Trias-Llimós, Sergi Janssen, Fanny |
author_sort | Vidra, Nikoletta |
collection | PubMed |
description | OBJECTIVES: To assess age, period, and birth cohort effects and patterns of obesity-attributable mortality in Czech Republic, Finland, France, Germany, Hungary, Italy, Poland, and the UK (UK). METHODS: We obtained obesity prevalence and all-cause mortality data by age (20–79), sex and country for 1990–2012. We applied Clayton and Schifflers’ age–period–cohort approach to obesity-attributable mortality rates (OAMRs). RESULTS: Between 1990 and 2012, obesity prevalence increased and age-standardised OAMRs declined, although not uniformly. The nonlinear birth cohort effects contributed significantly (p < 0.01) to obesity-attributable mortality trends in all populations, except in Czech Republic, Finland, and among German women, and Polish men. Their contribution was greater than 25% in UK and among French women, and larger than that of the nonlinear period effects. In the UK, mortality rate ratios (MRRs) increased among the cohorts born after 1950. In other populations with significant birth cohort effects, MRRs increased among the 1935–1960 cohorts and decreased thereafter. CONCLUSIONS: Given its potential effects on obesity-attributable mortality, the cohort dimension should not be ignored and calls for interventions early in life next to actions targeting broader societal changes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00038-018-1126-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6015618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-60156182018-07-09 Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis Vidra, Nikoletta Bijlsma, Maarten J. Trias-Llimós, Sergi Janssen, Fanny Int J Public Health Original Article OBJECTIVES: To assess age, period, and birth cohort effects and patterns of obesity-attributable mortality in Czech Republic, Finland, France, Germany, Hungary, Italy, Poland, and the UK (UK). METHODS: We obtained obesity prevalence and all-cause mortality data by age (20–79), sex and country for 1990–2012. We applied Clayton and Schifflers’ age–period–cohort approach to obesity-attributable mortality rates (OAMRs). RESULTS: Between 1990 and 2012, obesity prevalence increased and age-standardised OAMRs declined, although not uniformly. The nonlinear birth cohort effects contributed significantly (p < 0.01) to obesity-attributable mortality trends in all populations, except in Czech Republic, Finland, and among German women, and Polish men. Their contribution was greater than 25% in UK and among French women, and larger than that of the nonlinear period effects. In the UK, mortality rate ratios (MRRs) increased among the cohorts born after 1950. In other populations with significant birth cohort effects, MRRs increased among the 1935–1960 cohorts and decreased thereafter. CONCLUSIONS: Given its potential effects on obesity-attributable mortality, the cohort dimension should not be ignored and calls for interventions early in life next to actions targeting broader societal changes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00038-018-1126-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-06-04 2018 /pmc/articles/PMC6015618/ /pubmed/29868930 http://dx.doi.org/10.1007/s00038-018-1126-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Vidra, Nikoletta Bijlsma, Maarten J. Trias-Llimós, Sergi Janssen, Fanny Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis |
title | Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis |
title_full | Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis |
title_fullStr | Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis |
title_full_unstemmed | Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis |
title_short | Past trends in obesity-attributable mortality in eight European countries: an application of age–period–cohort analysis |
title_sort | past trends in obesity-attributable mortality in eight european countries: an application of age–period–cohort analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015618/ https://www.ncbi.nlm.nih.gov/pubmed/29868930 http://dx.doi.org/10.1007/s00038-018-1126-2 |
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