Pain rates in general population for the period 1991–2015 and 10-years prediction: results from a multi-continent age-period-cohort analysis

Author:

Guido Davide,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,Koupil Ilona,Bickenbach Jerome,Koskinen Seppo,Tobiasz-Adamczyk Beata,Panagiotakos Demosthenes,Raggi Alberto

Abstract

Abstract 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.

Funder

Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Anesthesiology and Pain Medicine,Clinical Neurology,General Medicine

Reference95 articles.

1. Williams AC, Craig KD (2016) Updating the definition of pain. Pain. 157:2420–2423

2. GBD (2017) Disease and Injury Incidence and Prevalence Collaborators (2018) Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392:1789–1858

3. GBD (2016) Headache Collaborators (2018) Global, regional, and national burden of migraine and tension-type headache, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 17:954–976

4. GBD (2016) Traumatic Brain Injury and Spinal Cord Injury Collaborators (2019) Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 18:56–87

5. Sebbag E, Felten R, Sagez F, Sibilia J, Devilliers H, Arnaud L (2019) The world-wide burden of musculoskeletal diseases: a systematic analysis of the World Health Organization burden of diseases database. Ann Rheum Dis 78:844–848

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