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Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database

BACKGROUND: Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people, and with increasing trends in general populations. Different risk factors for pain have been identified, but generally from studies with...

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Autores principales: Raggi, Alberto, Leonardi, Matilde, Mellor-Marsá, Blanca, Moneta, Maria V., Sanchez-Niubo, Albert, Tyrovolas, Stefanos, Giné-Vázquez, Iago, Haro, Josep M., Chatterji, Somnath, Bobak, Martin, Ayuso-Mateos, Jose L., Arndt, Holger, Hossin, Muhammad Z., Bickenbach, Jerome, Koskinen, Seppo, Tobiasz-Adamczyk, Beata, Panagiotakos, Demosthenes, Corso, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201730/
https://www.ncbi.nlm.nih.gov/pubmed/32375641
http://dx.doi.org/10.1186/s10194-020-01116-3
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author Raggi, Alberto
Leonardi, Matilde
Mellor-Marsá, Blanca
Moneta, Maria V.
Sanchez-Niubo, Albert
Tyrovolas, Stefanos
Giné-Vázquez, Iago
Haro, Josep M.
Chatterji, Somnath
Bobak, Martin
Ayuso-Mateos, Jose L.
Arndt, Holger
Hossin, Muhammad Z.
Bickenbach, Jerome
Koskinen, Seppo
Tobiasz-Adamczyk, Beata
Panagiotakos, Demosthenes
Corso, Barbara
author_facet Raggi, Alberto
Leonardi, Matilde
Mellor-Marsá, Blanca
Moneta, Maria V.
Sanchez-Niubo, Albert
Tyrovolas, Stefanos
Giné-Vázquez, Iago
Haro, Josep M.
Chatterji, Somnath
Bobak, Martin
Ayuso-Mateos, Jose L.
Arndt, Holger
Hossin, Muhammad Z.
Bickenbach, Jerome
Koskinen, Seppo
Tobiasz-Adamczyk, Beata
Panagiotakos, Demosthenes
Corso, Barbara
author_sort Raggi, Alberto
collection PubMed
description BACKGROUND: Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people, and with increasing trends in general populations. Different risk factors for pain have been identified, but generally from studies with limited samples and a limited number of candidate predictors. The aim of this study is to evaluate the predictors of pain from a large set of variables and respondents. METHODS: We used part of the harmonized dataset of ATHLOS project, selecting studies and waves with a longitudinal course, and in which pain was absent at baseline and with no missing at follow-up. Predictors were selected based on missing distribution and univariable association with pain, and were selected from the following domains: Socio-demographic and economic characteristics, Lifestyle and health behaviours, Health status and functional limitations, Diseases, Physical measures, Cognition, personality and other psychological measures, and Social environment. Hierarchical logistic regression models were then applied to identify significant predictors. RESULTS: A total of 13,545 subjects were included of whom 5348 (39.5%) developed pain between baseline and the average 5.2 years’ follow-up. Baseline risk factors for pain were female gender (OR 1.34), engaging in vigorous exercise (OR 2.51), being obese (OR 1.36) and suffering from the loss of a close person (OR 1.88) whereas follow-up risk factors were low energy levels/fatigue (1.93), difficulties with walking (1.69), self-rated health referred as poor (OR 2.20) or average to moderate (OR 1.57) and presence of sleep problems (1.80). CONCLUSIONS: Our results showed that 39.5% of respondents developed pain over a five-year follow-up period, that there are proximal and distal risk factors for pain, and that part of them are directly modifiable. Actions aimed at improving sleep, reducing weight among obese people and treating fatigue would positively impact on pain onset, and avoiding vigorous exercise should be advised to people aged 60 or over, in particular if female or obese.
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spelling pubmed-72017302020-05-08 Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database Raggi, Alberto Leonardi, Matilde Mellor-Marsá, Blanca Moneta, Maria V. Sanchez-Niubo, Albert Tyrovolas, Stefanos Giné-Vázquez, Iago Haro, Josep M. Chatterji, Somnath Bobak, Martin Ayuso-Mateos, Jose L. Arndt, Holger Hossin, Muhammad Z. Bickenbach, Jerome Koskinen, Seppo Tobiasz-Adamczyk, Beata Panagiotakos, Demosthenes Corso, Barbara J Headache Pain Research Article BACKGROUND: Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people, and with increasing trends in general populations. Different risk factors for pain have been identified, but generally from studies with limited samples and a limited number of candidate predictors. The aim of this study is to evaluate the predictors of pain from a large set of variables and respondents. METHODS: We used part of the harmonized dataset of ATHLOS project, selecting studies and waves with a longitudinal course, and in which pain was absent at baseline and with no missing at follow-up. Predictors were selected based on missing distribution and univariable association with pain, and were selected from the following domains: Socio-demographic and economic characteristics, Lifestyle and health behaviours, Health status and functional limitations, Diseases, Physical measures, Cognition, personality and other psychological measures, and Social environment. Hierarchical logistic regression models were then applied to identify significant predictors. RESULTS: A total of 13,545 subjects were included of whom 5348 (39.5%) developed pain between baseline and the average 5.2 years’ follow-up. Baseline risk factors for pain were female gender (OR 1.34), engaging in vigorous exercise (OR 2.51), being obese (OR 1.36) and suffering from the loss of a close person (OR 1.88) whereas follow-up risk factors were low energy levels/fatigue (1.93), difficulties with walking (1.69), self-rated health referred as poor (OR 2.20) or average to moderate (OR 1.57) and presence of sleep problems (1.80). CONCLUSIONS: Our results showed that 39.5% of respondents developed pain over a five-year follow-up period, that there are proximal and distal risk factors for pain, and that part of them are directly modifiable. Actions aimed at improving sleep, reducing weight among obese people and treating fatigue would positively impact on pain onset, and avoiding vigorous exercise should be advised to people aged 60 or over, in particular if female or obese. Springer Milan 2020-05-06 /pmc/articles/PMC7201730/ /pubmed/32375641 http://dx.doi.org/10.1186/s10194-020-01116-3 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Raggi, Alberto
Leonardi, Matilde
Mellor-Marsá, Blanca
Moneta, Maria V.
Sanchez-Niubo, Albert
Tyrovolas, Stefanos
Giné-Vázquez, Iago
Haro, Josep M.
Chatterji, Somnath
Bobak, Martin
Ayuso-Mateos, Jose L.
Arndt, Holger
Hossin, Muhammad Z.
Bickenbach, Jerome
Koskinen, Seppo
Tobiasz-Adamczyk, Beata
Panagiotakos, Demosthenes
Corso, Barbara
Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database
title Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database
title_full Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database
title_fullStr Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database
title_full_unstemmed Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database
title_short Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database
title_sort predictors of pain in general ageing populations: results from a multi-country analysis based on athlos harmonized database
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201730/
https://www.ncbi.nlm.nih.gov/pubmed/32375641
http://dx.doi.org/10.1186/s10194-020-01116-3
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