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

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          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.

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          Most cited references93

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          Cohort profile: the China Health and Retirement Longitudinal Study (CHARLS).

          The China Health and Retirement Longitudinal Study (CHARLS) is a nationally representative longitudinal survey of persons in China 45 years of age or older and their spouses, including assessments of social, economic, and health circumstances of community-residents. CHARLS examines health and economic adjustments to rapid ageing of the population in China. The national baseline survey for the study was conducted between June 2011 and March 2012 and involved 17 708 respondents. CHARLS respondents are followed every 2 years, using a face-to-face computer-assisted personal interview (CAPI). Physical measurements are made at every 2-year follow-up, and blood sample collection is done once in every two follow-up periods. A pilot survey for CHARLS was conducted in two provinces of China in 2008, on 2685 individuals, who were resurveyed in 2012. To ensure the adoption of best practices and international comparability of results, CHARLS was harmonized with leading international research studies in the Health and Retirement Study (HRS) model. Requests for collaborations should be directed to Dr Yaohui Zhao (yhzhao@nsd.edu.cn). All data in CHARLS are maintained at the National School of Development of Peking University and will be accessible to researchers around the world at the study website. The 2008 pilot data for CHARLS are available at: http://charls.ccer.edu.cn/charls/. National baseline data for the study are expected to be released in January 2013.
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            The global burden of headache: a documentation of headache prevalence and disability worldwide.

            This study, which is a part of the initiative 'Lifting The Burden: The Global Campaign to Reduce the Burden of Headache Worldwide', assesses and presents all existing evidence of the world prevalence and burden of headache disorders. Population-based studies applying International Headache Society criteria for migraine and tension-type headache, and also studies on headache in general and 'chronic daily headache', have been included. Globally, the percentages of the adult population with an active headache disorder are 46% for headache in general, 11% for migraine, 42% for tension-type headache and 3% for chronic daily headache. Our calculations indicate that the disability attributable to tension-type headache is larger worldwide than that due to migraine. On the World Health Organization's ranking of causes of disability, this would bring headache disorders into the 10 most disabling conditions for the two genders, and into the five most disabling for women.
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              Regression Modeling Strategies

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                Author and article information

                Contributors
                matilde.leonardi@istituto-besta.it
                Journal
                J Headache Pain
                J Headache Pain
                The Journal of Headache and Pain
                Springer Milan (Milan )
                1129-2369
                1129-2377
                6 May 2020
                6 May 2020
                2020
                : 21
                : 1
                : 45
                Affiliations
                [1 ]GRID grid.417894.7, ISNI 0000 0001 0707 5492, Neurology, Public Health and Disability Unit, , Fondazione IRCCS Istituto Neurologico Carlo Besta, ; Via Celoria 11, 20133 Milan, Italy
                [2 ]GRID grid.428876.7, Parc Sanitari Sant Joan de Déu, Fundacion Sant Joan de Deu, ; Barcelona, Spain
                [3 ]GRID grid.469673.9, Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, ; Madrid, Spain
                [4 ]GRID grid.15823.3d, ISNI 0000 0004 0622 2843, Department of Nutrition and Dietetics, , School of Health Science and Education, Harokopio University, ; Athens, Greece
                [5 ]GRID grid.3575.4, ISNI 0000000121633745, Information, Evidence and Research, World Health Organization, ; Geneva, Switzerland
                [6 ]GRID grid.83440.3b, ISNI 0000000121901201, Research Department of Epidemiology and Public Health, , University College London, ; London, UK
                [7 ]GRID grid.5515.4, ISNI 0000000119578126, Department of Psychiatry, , Universidad Autónoma de Madrid, ; Madrid, Spain
                [8 ]GRID grid.411251.2, ISNI 0000 0004 1767 647X, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa, ; Madrid, Spain
                [9 ]GRID grid.438120.c, SPRING TECHNO GMBH & Co. KG, ; Bremen, Germany
                [10 ]GRID grid.4714.6, ISNI 0000 0004 1937 0626, Department of Global Public Health, , Karolinska Institute, ; Stockholm, Sweden
                [11 ]GRID grid.449852.6, ISNI 0000 0001 1456 7938, Department of Health Sciences and Health Policy, , University of Lucerne, ; Lucerne, Switzerland
                [12 ]GRID grid.419770.c, Swiss Paraplegic Research, ; Nottwil, Switzerland
                [13 ]GRID grid.14758.3f, ISNI 0000 0001 1013 0499, Finnish Institute for Health and Welfare (THL), ; Helsinki, Finland
                [14 ]GRID grid.5522.0, ISNI 0000 0001 2162 9631, Department of Epidemiology and Population Studies, Faculty of Health Sciences, , Jagiellonian University Medical College, ; Krakow, Poland
                [15 ]GRID grid.418879.b, ISNI 0000 0004 1758 9800, National Research Council, Neuroscience Institute, ; Padova, Italy
                Author information
                http://orcid.org/0000-0003-0552-8923
                Article
                1116
                10.1186/s10194-020-01116-3
                7201730
                32375641
                4e097691-0f87-4359-bcdd-bbe286d05108
                © 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.

                History
                : 13 April 2020
                : 24 April 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: 635316
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Anesthesiology & Pain management
                pain,risk factors,headache disorders,musculoskeletal disorders,sleep,obesity,exercise,bereavement,fatigue,walking

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