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Patterns of multisite pain and associations with risk factors
To explore definitions for multisite pain, and compare associations with risk factors for different patterns of musculoskeletal pain, we analysed cross-sectional data from the Cultural and Psychosocial Influences on Disability (CUPID) study. The study sample comprised 12,410 adults aged 20–59 years...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747979/ https://www.ncbi.nlm.nih.gov/pubmed/23727463 http://dx.doi.org/10.1016/j.pain.2013.05.039 |
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author | Coggon, David Ntani, Georgia Palmer, Keith T. Felli, Vanda E. Harari, Raul Barrero, Lope H. Felknor, Sarah A. Gimeno, David Cattrell, Anna Vargas-Prada, Sergio Bonzini, Matteo Solidaki, Eleni Merisalu, Eda Habib, Rima R. Sadeghian, Farideh Masood Kadir, M. Warnakulasuriya, Sudath S.P. Matsudaira, Ko Nyantumbu, Busisiwe Sim, Malcolm R. Harcombe, Helen Cox, Ken Marziale, Maria H. Sarquis, Leila M. Harari, Florencia Freire, Rocio Harari, Natalia Monroy, Magda V. Quintana, Leonardo A. Rojas, Marianela Salazar Vega, Eduardo J. Harris, E. Clare Serra, Consol Martinez, J. Miguel Delclos, George Benavides, Fernando G. Carugno, Michele Ferrario, Marco M. Pesatori, Angela C. Chatzi, Leda Bitsios, Panos Kogevinas, Manolis Oha, Kristel Sirk, Tuuli Sadeghian, Ali Peiris-John, Roshini J. Sathiakumar, Nalini Wickremasinghe, A. Rajitha Yoshimura, Noriko Kelsall, Helen L. Hoe, Victor C.W Urquhart, Donna M. Derrett, Sarah McBride, David Herbison, Peter Gray, Andrew |
author_facet | Coggon, David Ntani, Georgia Palmer, Keith T. Felli, Vanda E. Harari, Raul Barrero, Lope H. Felknor, Sarah A. Gimeno, David Cattrell, Anna Vargas-Prada, Sergio Bonzini, Matteo Solidaki, Eleni Merisalu, Eda Habib, Rima R. Sadeghian, Farideh Masood Kadir, M. Warnakulasuriya, Sudath S.P. Matsudaira, Ko Nyantumbu, Busisiwe Sim, Malcolm R. Harcombe, Helen Cox, Ken Marziale, Maria H. Sarquis, Leila M. Harari, Florencia Freire, Rocio Harari, Natalia Monroy, Magda V. Quintana, Leonardo A. Rojas, Marianela Salazar Vega, Eduardo J. Harris, E. Clare Serra, Consol Martinez, J. Miguel Delclos, George Benavides, Fernando G. Carugno, Michele Ferrario, Marco M. Pesatori, Angela C. Chatzi, Leda Bitsios, Panos Kogevinas, Manolis Oha, Kristel Sirk, Tuuli Sadeghian, Ali Peiris-John, Roshini J. Sathiakumar, Nalini Wickremasinghe, A. Rajitha Yoshimura, Noriko Kelsall, Helen L. Hoe, Victor C.W Urquhart, Donna M. Derrett, Sarah McBride, David Herbison, Peter Gray, Andrew |
author_sort | Coggon, David |
collection | PubMed |
description | To explore definitions for multisite pain, and compare associations with risk factors for different patterns of musculoskeletal pain, we analysed cross-sectional data from the Cultural and Psychosocial Influences on Disability (CUPID) study. The study sample comprised 12,410 adults aged 20–59 years from 47 occupational groups in 18 countries. A standardised questionnaire was used to collect information about pain in the past month at each of 10 anatomical sites, and about potential risk factors. Associations with pain outcomes were assessed by Poisson regression, and characterised by prevalence rate ratios (PRRs). Extensive pain, affecting 6–10 anatomical sites, was reported much more frequently than would be expected if the occurrence of pain at each site were independent (674 participants vs 41.9 expected). In comparison with pain involving only 1–3 sites, it showed much stronger associations (relative to no pain) with risk factors such as female sex (PRR 1.6 vs 1.1), older age (PRR 2.6 vs 1.1), somatising tendency (PRR 4.6 vs 1.3), and exposure to multiple physically stressing occupational activities (PRR 5.0 vs 1.4). After adjustment for number of sites with pain, these risk factors showed no additional association with a distribution of pain that was widespread according to the frequently used American College of Rheumatology criteria. Our analysis supports the classification of pain at multiple anatomical sites simply by the number of sites affected, and suggests that extensive pain differs importantly in its associations with risk factors from pain that is limited to only a small number of anatomical sites. |
format | Online Article Text |
id | pubmed-3747979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-37479792013-09-01 Patterns of multisite pain and associations with risk factors Coggon, David Ntani, Georgia Palmer, Keith T. Felli, Vanda E. Harari, Raul Barrero, Lope H. Felknor, Sarah A. Gimeno, David Cattrell, Anna Vargas-Prada, Sergio Bonzini, Matteo Solidaki, Eleni Merisalu, Eda Habib, Rima R. Sadeghian, Farideh Masood Kadir, M. Warnakulasuriya, Sudath S.P. Matsudaira, Ko Nyantumbu, Busisiwe Sim, Malcolm R. Harcombe, Helen Cox, Ken Marziale, Maria H. Sarquis, Leila M. Harari, Florencia Freire, Rocio Harari, Natalia Monroy, Magda V. Quintana, Leonardo A. Rojas, Marianela Salazar Vega, Eduardo J. Harris, E. Clare Serra, Consol Martinez, J. Miguel Delclos, George Benavides, Fernando G. Carugno, Michele Ferrario, Marco M. Pesatori, Angela C. Chatzi, Leda Bitsios, Panos Kogevinas, Manolis Oha, Kristel Sirk, Tuuli Sadeghian, Ali Peiris-John, Roshini J. Sathiakumar, Nalini Wickremasinghe, A. Rajitha Yoshimura, Noriko Kelsall, Helen L. Hoe, Victor C.W Urquhart, Donna M. Derrett, Sarah McBride, David Herbison, Peter Gray, Andrew Pain Article To explore definitions for multisite pain, and compare associations with risk factors for different patterns of musculoskeletal pain, we analysed cross-sectional data from the Cultural and Psychosocial Influences on Disability (CUPID) study. The study sample comprised 12,410 adults aged 20–59 years from 47 occupational groups in 18 countries. A standardised questionnaire was used to collect information about pain in the past month at each of 10 anatomical sites, and about potential risk factors. Associations with pain outcomes were assessed by Poisson regression, and characterised by prevalence rate ratios (PRRs). Extensive pain, affecting 6–10 anatomical sites, was reported much more frequently than would be expected if the occurrence of pain at each site were independent (674 participants vs 41.9 expected). In comparison with pain involving only 1–3 sites, it showed much stronger associations (relative to no pain) with risk factors such as female sex (PRR 1.6 vs 1.1), older age (PRR 2.6 vs 1.1), somatising tendency (PRR 4.6 vs 1.3), and exposure to multiple physically stressing occupational activities (PRR 5.0 vs 1.4). After adjustment for number of sites with pain, these risk factors showed no additional association with a distribution of pain that was widespread according to the frequently used American College of Rheumatology criteria. Our analysis supports the classification of pain at multiple anatomical sites simply by the number of sites affected, and suggests that extensive pain differs importantly in its associations with risk factors from pain that is limited to only a small number of anatomical sites. Lippincott Williams & Wilkins 2013-09 /pmc/articles/PMC3747979/ /pubmed/23727463 http://dx.doi.org/10.1016/j.pain.2013.05.039 Text en © 2013 Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Coggon, David Ntani, Georgia Palmer, Keith T. Felli, Vanda E. Harari, Raul Barrero, Lope H. Felknor, Sarah A. Gimeno, David Cattrell, Anna Vargas-Prada, Sergio Bonzini, Matteo Solidaki, Eleni Merisalu, Eda Habib, Rima R. Sadeghian, Farideh Masood Kadir, M. Warnakulasuriya, Sudath S.P. Matsudaira, Ko Nyantumbu, Busisiwe Sim, Malcolm R. Harcombe, Helen Cox, Ken Marziale, Maria H. Sarquis, Leila M. Harari, Florencia Freire, Rocio Harari, Natalia Monroy, Magda V. Quintana, Leonardo A. Rojas, Marianela Salazar Vega, Eduardo J. Harris, E. Clare Serra, Consol Martinez, J. Miguel Delclos, George Benavides, Fernando G. Carugno, Michele Ferrario, Marco M. Pesatori, Angela C. Chatzi, Leda Bitsios, Panos Kogevinas, Manolis Oha, Kristel Sirk, Tuuli Sadeghian, Ali Peiris-John, Roshini J. Sathiakumar, Nalini Wickremasinghe, A. Rajitha Yoshimura, Noriko Kelsall, Helen L. Hoe, Victor C.W Urquhart, Donna M. Derrett, Sarah McBride, David Herbison, Peter Gray, Andrew Patterns of multisite pain and associations with risk factors |
title | Patterns of multisite pain and associations with risk factors |
title_full | Patterns of multisite pain and associations with risk factors |
title_fullStr | Patterns of multisite pain and associations with risk factors |
title_full_unstemmed | Patterns of multisite pain and associations with risk factors |
title_short | Patterns of multisite pain and associations with risk factors |
title_sort | patterns of multisite pain and associations with risk factors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747979/ https://www.ncbi.nlm.nih.gov/pubmed/23727463 http://dx.doi.org/10.1016/j.pain.2013.05.039 |
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