Literature DB >> 29224692

The contribution of musculoskeletal disorders in multimorbidity: Implications for practice and policy.

Stephen J Duffield1, Benjamin M Ellis2, Nicola Goodson3, Karen Walker-Bone4, Philip G Conaghan5, Tom Margham6, Tracey Loftis7.   

Abstract

People frequently live for many years with multiple chronic conditions (multimorbidity) that impair health outcomes and are expensive to manage. Multimorbidity has been shown to reduce quality of life and increase mortality. People with multimorbidity also rely more heavily on health and care services and have poorer work outcomes. Musculoskeletal disorders (MSDs) are ubiquitous in multimorbidity because of their high prevalence, shared risk factors, and shared pathogenic processes amongst other long-term conditions. Additionally, these conditions significantly contribute to the total impact of multimorbidity, having been shown to reduce quality of life, increase work disability, and increase treatment burden and healthcare costs. For people living with multimorbidity, MSDs could impair the ability to cope and maintain health and independence, leading to precipitous physical and social decline. Recognition, by health professionals, policymakers, non-profit organisations, and research funders, of the impact of musculoskeletal health in multimorbidity is essential when planning support for people living with multimorbidity.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Arthritis; Back pain; Co-morbidity; Management; Multimorbidity; Musculoskeletal; Osteoarthritis; Osteoporosis; Policy; Prevalence

Mesh:

Year:  2017        PMID: 29224692     DOI: 10.1016/j.berh.2017.09.004

Source DB:  PubMed          Journal:  Best Pract Res Clin Rheumatol        ISSN: 1521-6942            Impact factor:   4.098


  32 in total

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Review 2.  The Global Burden of Musculoskeletal Pain-Where to From Here?

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Review 4.  Multimorbidity and functional impairment-bidirectional interplay, synergistic effects and common pathways.

Authors:  A Calderón-Larrañaga; D L Vetrano; L Ferrucci; S W Mercer; A Marengoni; G Onder; M Eriksdotter; L Fratiglioni
Journal:  J Intern Med       Date:  2018-11-22       Impact factor: 8.989

Review 5.  Co-occurrence of pain syndromes.

Authors:  Giannapia Affaitati; Raffaele Costantini; Claudio Tana; Francesco Cipollone; Maria Adele Giamberardino
Journal:  J Neural Transm (Vienna)       Date:  2019-11-29       Impact factor: 3.575

Review 6.  Therapeutic Effects of Traditional Chinese Exercises on Musculoskeletal Pain: A Systematic Review and Meta-Analysis.

Authors:  Zhenrui Li; Jie Zhuang; Shiwen Zhang; Qingyi He; Rui Zhao; Tursen Alima; Lei Fang
Journal:  Pain Res Manag       Date:  2021-05-10       Impact factor: 3.037

7.  Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.

Authors:  Michiel Siebelt; Dirk Das; Amber Van Den Moosdijk; Tristan Warren; Peter Van Der Putten; Walter Van Der Weegen
Journal:  Acta Orthop       Date:  2021-02-12       Impact factor: 3.717

8.  Real-World Health Care Resource Utilization and Costs Among US Patients with Knee Osteoarthritis Compared with Controls.

Authors:  Angela V Bedenbaugh; Machaon Bonafede; Elizabeth H Marchlewicz; Vinson Lee; Jeyanesh Tambiah
Journal:  Clinicoecon Outcomes Res       Date:  2021-05-21

9.  The Prevalence of and Risk Factors Associated with Musculoskeletal Disorders in Thai Oil Palm Harvesting Workers: A Cross-Sectional Study.

Authors:  Petcharatana Bhuanantanondh; Bryan Buchholz; Sara Arphorn; Pornpimol Kongtip; Susan Woskie
Journal:  Int J Environ Res Public Health       Date:  2021-05-20       Impact factor: 3.390

10.  Interaction between occupational physical burdens and low job control on musculoskeletal pain: Analysis of the 5th Korean Working Environment Survey.

Authors:  Jongin Lee; Hyoung-Ryoul Kim; Dong-Wook Lee; Mo-Yeol Kang
Journal:  J Occup Health       Date:  2021-01       Impact factor: 2.708

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