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

The Journal of Headache and Pain

Beata Tobiasz-Adamczyk¹  Muhammad Z. Hossin²  Jerome Bickenbach³  Demosthenes Panagiotakos⁴  Seppo Koskinen⁵  Somnath Chatterji⁶  Jose L. Ayuso-Mateos⁷  Barbara Corso⁸  Alberto Raggi⁹  Matilde Leonardi⁹  Maria V. Moneta^1,10  Albert Sanchez-Niubo^1,10  Iago Giné-Vázquez^1,10  Blanca Mellor-Marsá^1,10  Josep M. Haro^1,10  Stefanos Tyrovolas^1,10  Martin Bobak^1,11  Holger Arndt^1,12 

[1] Department of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College;Department of Global Public Health, Karolinska Institute;Department of Health Sciences and Health Policy, University of Lucerne;Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University;Finnish Institute for Health and Welfare (THL);Information, Evidence and Research, World Health Organization;Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM;National Research Council, Neuroscience Institute;Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta;Parc Sanitari Sant Joan de Déu, Fundacion Sant Joan de Deu;Research Department of Epidemiology and Public Health, University College London;SPRING TECHNO GMBH & Co. KG;

关键词: Pain;    Risk factors;    Headache disorders;    Musculoskeletal disorders;    Sleep;    Obesity;   

DOI  :  10.1186/s10194-020-01116-3

来源: DOAJ

【 摘 要 】

Abstract 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.

【 授权许可】

Unknown