Literature DB >> 18024977

Back pain, a communicable disease?

Heiner Raspe1, Angelika Hueppe, Hannelore Neuhauser.   

Abstract

BACKGROUND: Back pain (BP) is a frequent disorder affecting currently up to 40% of adults in Western Europe. Most of it is said to be 'non-specific', i.e. lacking an obvious patho-anatomical explanation. It is seldom the consequence of a contagious disease caused by microorganisms. This does not exclude it from being communicable if 'communicable' is to refer to something being transmitted by sharing or exchanging information. AIM: To propose the hypothesis of BP being a communicable disease. METHODS AND
RESULTS: We base our hypothesis on a reanalysis of five German health surveys. They show a wide gap in BP prevalence between West and East Germany early after reunification. The gap consistently decreased to nearly zero in 2003. Work disability data followed a comparable course. DISCUSSION: Various processes may have contributed to the observed changes. Our hypothesis is corroborated by experimental research showing that BP-related beliefs, attitudes and behaviour could positively be influenced by media campaigns and by insights from another recent epidemic.

Entities:  

Mesh:

Year:  2007        PMID: 18024977     DOI: 10.1093/ije/dym220

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  9 in total

Review 1.  [Quality indicators for managing patients with low back pain].

Authors:  J F Chenot
Journal:  Schmerz       Date:  2010-06       Impact factor: 1.107

2.  Estimating peer effects on health in social networks: a response to Cohen-Cole and Fletcher; and Trogdon, Nonnemaker, and Pais.

Authors:  J H Fowler; N A Christakis
Journal:  J Health Econ       Date:  2008-08-09       Impact factor: 3.883

3.  The rising prevalence of chronic low back pain.

Authors:  Janet K Freburger; George M Holmes; Robert P Agans; Anne M Jackman; Jane D Darter; Andrea S Wallace; Liana D Castel; William D Kalsbeek; Timothy S Carey
Journal:  Arch Intern Med       Date:  2009-02-09

4.  Are network-based interventions a useful antiobesity strategy? An application of simulation models for causal inference in epidemiology.

Authors:  Abdulrahman M El-Sayed; Lars Seemann; Peter Scarborough; Sandro Galea
Journal:  Am J Epidemiol       Date:  2013-05-21       Impact factor: 4.897

5.  The establishment of a primary spine care practitioner and its benefits to health care reform in the United States.

Authors:  Donald R Murphy; Brian D Justice; Ian C Paskowski; Stephen M Perle; Michael J Schneider
Journal:  Chiropr Man Therap       Date:  2011-07-21

6.  Social network analysis and agent-based modeling in social epidemiology.

Authors:  Abdulrahman M El-Sayed; Peter Scarborough; Lars Seemann; Sandro Galea
Journal:  Epidemiol Perspect Innov       Date:  2012-02-01

7.  Using social network analysis to evaluate health-related adaptation decision-making in Cambodia.

Authors:  Kathryn J Bowen; Damon Alexander; Fiona Miller; Va Dany
Journal:  Int J Environ Res Public Health       Date:  2014-01-30       Impact factor: 3.390

8.  Detecting implausible social network effects in acne, height, and headaches: longitudinal analysis.

Authors:  Ethan Cohen-Cole; Jason M Fletcher
Journal:  BMJ       Date:  2008-12-04

9.  Whiplash(-like) injury diagnoses and co-morbidities--both before and after the injury: A national registry-based study.

Authors:  Tom Bendix; Jakob Kjellberg; Rikke Ibsen; Poul Jørgen Jennum
Journal:  BMC Musculoskelet Disord       Date:  2016-01-14       Impact factor: 2.362

  9 in total

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