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Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time

Qualitative similarities between hip fracture trends in different countries suggests variations of the same epidemic. We tested a single statistical shape to describe time trends in Europe, while allowing for country-level variability. Using data from 14 countries, we modelled incidence rates over t...

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Autores principales: Lucas, Raquel, Martins, Ana, Severo, Milton, Silva, Poliana, Monjardino, Teresa, Gaio, Ana Rita, Cooper, Cyrus, Barros, Henrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473829/
https://www.ncbi.nlm.nih.gov/pubmed/28623255
http://dx.doi.org/10.1038/s41598-017-03847-x
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author Lucas, Raquel
Martins, Ana
Severo, Milton
Silva, Poliana
Monjardino, Teresa
Gaio, Ana Rita
Cooper, Cyrus
Barros, Henrique
author_facet Lucas, Raquel
Martins, Ana
Severo, Milton
Silva, Poliana
Monjardino, Teresa
Gaio, Ana Rita
Cooper, Cyrus
Barros, Henrique
author_sort Lucas, Raquel
collection PubMed
description Qualitative similarities between hip fracture trends in different countries suggests variations of the same epidemic. We tested a single statistical shape to describe time trends in Europe, while allowing for country-level variability. Using data from 14 countries, we modelled incidence rates over time using linear mixed-effects models, including the fixed effects of calendar year and age. Random effects were tested to quantify country-level variability in background rates, timing of trend reversal and tempo of reversal. Mixture models were applied to identify clusters of countries defined by common behavioural features. A quadratic function of time, with random effects for background rates and timing of trend reversal, adjusted well to the observed data. Predicted trend reversal occurred on average in 1999 in women (peak incidence about 600 per 100 000) and 2000 in men (about 300 per 100 000). Mixture modelling of country-level effects suggested three clusters for women and two for men. In both sexes, Scandinavia showed higher rates but earlier trend reversals, whereas later trend reversals but lower peak incidences were found in Southern Europe and most of Central Europe. Our finding of a similar overall reversal pattern suggests that different countries show variations of a shared hip fracture epidemic.
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spelling pubmed-54738292017-06-21 Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time Lucas, Raquel Martins, Ana Severo, Milton Silva, Poliana Monjardino, Teresa Gaio, Ana Rita Cooper, Cyrus Barros, Henrique Sci Rep Article Qualitative similarities between hip fracture trends in different countries suggests variations of the same epidemic. We tested a single statistical shape to describe time trends in Europe, while allowing for country-level variability. Using data from 14 countries, we modelled incidence rates over time using linear mixed-effects models, including the fixed effects of calendar year and age. Random effects were tested to quantify country-level variability in background rates, timing of trend reversal and tempo of reversal. Mixture models were applied to identify clusters of countries defined by common behavioural features. A quadratic function of time, with random effects for background rates and timing of trend reversal, adjusted well to the observed data. Predicted trend reversal occurred on average in 1999 in women (peak incidence about 600 per 100 000) and 2000 in men (about 300 per 100 000). Mixture modelling of country-level effects suggested three clusters for women and two for men. In both sexes, Scandinavia showed higher rates but earlier trend reversals, whereas later trend reversals but lower peak incidences were found in Southern Europe and most of Central Europe. Our finding of a similar overall reversal pattern suggests that different countries show variations of a shared hip fracture epidemic. Nature Publishing Group UK 2017-06-16 /pmc/articles/PMC5473829/ /pubmed/28623255 http://dx.doi.org/10.1038/s41598-017-03847-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lucas, Raquel
Martins, Ana
Severo, Milton
Silva, Poliana
Monjardino, Teresa
Gaio, Ana Rita
Cooper, Cyrus
Barros, Henrique
Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time
title Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time
title_full Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time
title_fullStr Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time
title_full_unstemmed Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time
title_short Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time
title_sort quantitative modelling of hip fracture trends in 14 european countries: testing variations of a shared reversal over time
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473829/
https://www.ncbi.nlm.nih.gov/pubmed/28623255
http://dx.doi.org/10.1038/s41598-017-03847-x
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