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Pain rates in general population for the period 1991-2015 and 10-years prediction: results from a multi-continent age-period-cohort analysis
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Number of Authors: 182020 (English)In: Journal of Headache and Pain, ISSN 1129-2369, E-ISSN 1129-2377, Vol. 21, no 1, article id 52Article in journal (Refereed) Published
Abstract [en]

Background Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people. The aims of this study are to evaluate the temporal variations of pain rates among general populations for the period 1991-2015 and to project 10-year pain rates. Methods We used the harmonized dataset of ATHLOS project, which included 660,028 valid observations in the period 1990-2015 and we applied Bayesian age-period-cohort modeling to perform projections up to 2025. The harmonized Pain variable covers the content self-reported pain experienced at the time of the interview, with a dichotomous (yes or no) modality. Results Pain rates were higher among females, older subjects, in recent periods, and among observations referred to cohorts of subjects born between the 20s and the 60s. The 10-year projections indicate a noteworthy increase in pain rates in both genders and particularly among subjects aged 66 or over, for whom a 10-20% increase in pain rate is foreseen; among females only, a 10-15% increase in pain rates is foreseen for those aged 36-50. Conclusions Projected increase in pain rates will require specific interventions by health and welfare systems, as pain is responsible for limited quality of subjective well-being, reduced employment rates and hampered work performance. Worksite and lifestyle interventions will therefore be needed to limit the impact of projected higher pain rates.

Place, publisher, year, edition, pages
2020. Vol. 21, no 1, article id 52
Keywords [en]
Pain, Projection, Bayesian age period cohort model, Headache disorders, Musculoskeletal disorders, Employment
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:su:diva-182991DOI: 10.1186/s10194-020-01108-3ISI: 000536276600001PubMedID: 32404046OAI: oai:DiVA.org:su-182991DiVA, id: diva2:1452386
Available from: 2020-07-06 Created: 2020-07-06 Last updated: 2025-02-20Bibliographically approved

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Sanchez-Niubo, AlbertAyuso-Mateos, Jose L.Koupil, Ilona

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Sanchez-Niubo, AlbertAyuso-Mateos, Jose L.Koupil, Ilona
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