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Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain
OBJECTIVES: To calculate the prevalence of disabling chronic pain (DCP) and to offer a more representative and accurate estimation by applying different calibration techniques. SETTINGS: 2011 Andalusian Health Survey, a cross-sectional population survey based on face-to-face home interviews. PARTICI...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293867/ https://www.ncbi.nlm.nih.gov/pubmed/28137930 http://dx.doi.org/10.1136/bmjopen-2016-014033 |
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author | Cabrera-León, Andrés Rueda, María Cantero-Braojos, Miguel |
author_facet | Cabrera-León, Andrés Rueda, María Cantero-Braojos, Miguel |
author_sort | Cabrera-León, Andrés |
collection | PubMed |
description | OBJECTIVES: To calculate the prevalence of disabling chronic pain (DCP) and to offer a more representative and accurate estimation by applying different calibration techniques. SETTINGS: 2011 Andalusian Health Survey, a cross-sectional population survey based on face-to-face home interviews. PARTICIPANTS: 6507 people aged 16 years or older and living in Andalusia, Spain. OUTCOMES: Design weights, linear calibration based on marginals and on crossings, and model-assisted calibration were used to estimate the prevalence and variance of DCP, for the whole sample and for the domains of sex and age groups (16–44; 45–64; +65). RESULTS: Calibration variables were sex, age groups and educational level. In the whole sample, DCP prevalence calibration reduced by more than 5.2% and 8.2% the estimated prevalences and variances, respectively, obtained with the design weights. Regarding the domains, prevalence reductions are from 33% to 1%, and variance reductions are from 0.2% to 1%. Model-assisted calibration is the best technique to estimate DCP prevalence for the whole population and crossing calibration for their domains, although with almost no differences compared to marginal calibration. CONCLUSIONS: The validity and accuracy of estimations of DCP prevalence are improved by calibration adjustments. Model-assisted calibrated prevalence of DCP is 10.78% for the whole population, being at least 2-fold higher in women in all age groups. The results and methodology developed could be useful in clinical and population-based studies on chronic pain and disability. |
format | Online Article Text |
id | pubmed-5293867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52938672017-02-27 Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain Cabrera-León, Andrés Rueda, María Cantero-Braojos, Miguel BMJ Open Epidemiology OBJECTIVES: To calculate the prevalence of disabling chronic pain (DCP) and to offer a more representative and accurate estimation by applying different calibration techniques. SETTINGS: 2011 Andalusian Health Survey, a cross-sectional population survey based on face-to-face home interviews. PARTICIPANTS: 6507 people aged 16 years or older and living in Andalusia, Spain. OUTCOMES: Design weights, linear calibration based on marginals and on crossings, and model-assisted calibration were used to estimate the prevalence and variance of DCP, for the whole sample and for the domains of sex and age groups (16–44; 45–64; +65). RESULTS: Calibration variables were sex, age groups and educational level. In the whole sample, DCP prevalence calibration reduced by more than 5.2% and 8.2% the estimated prevalences and variances, respectively, obtained with the design weights. Regarding the domains, prevalence reductions are from 33% to 1%, and variance reductions are from 0.2% to 1%. Model-assisted calibration is the best technique to estimate DCP prevalence for the whole population and crossing calibration for their domains, although with almost no differences compared to marginal calibration. CONCLUSIONS: The validity and accuracy of estimations of DCP prevalence are improved by calibration adjustments. Model-assisted calibrated prevalence of DCP is 10.78% for the whole population, being at least 2-fold higher in women in all age groups. The results and methodology developed could be useful in clinical and population-based studies on chronic pain and disability. BMJ Publishing Group 2017-01-30 /pmc/articles/PMC5293867/ /pubmed/28137930 http://dx.doi.org/10.1136/bmjopen-2016-014033 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Epidemiology Cabrera-León, Andrés Rueda, María Cantero-Braojos, Miguel Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain |
title | Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain |
title_full | Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain |
title_fullStr | Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain |
title_full_unstemmed | Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain |
title_short | Calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in Southern Spain |
title_sort | calibrated prevalence of disabling chronic pain according to different approaches: a face-to-face cross-sectional population-based study in southern spain |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293867/ https://www.ncbi.nlm.nih.gov/pubmed/28137930 http://dx.doi.org/10.1136/bmjopen-2016-014033 |
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