Literature DB >> 16793296

Comorbidity of low back pain: representative outcomes of a national health study in the Federal Republic of Germany.

Sven Schneider1, Sigrid M Mohnen, Marcus Schiltenwolf, Christoph Rau.   

Abstract

BACKGROUND: Unlike other biopsychosocial risk factors, the role of comorbidity in low back pain is largely unknown. AIMS: The purpose is (1) to generate prevalence data on back pain in the total adult population and (2) to identify the most common physical comorbidities in subjects with back pain. This paper also (3) analyses the gender-specific and age-specific comorbidity structure.
METHODS: The National German Health Survey is the first study to provide the basis for a representative nationwide analysis of back pain prevalence and the associated comorbidities. The net sample comprises a total of 7124 Germans aged 18-79.
RESULTS: One in three Germans (34%) experienced back pain during the seven days prior to being interviewed. The one-year prevalence rate is 59%. All the morbidities investigated by us are more common in subjects with back pain than in individuals without back pain. The most common comorbidities associated with back pain are musculoskeletal disorders like rheumatoid arthritis, osteoarthritis and osteoporosis, followed by cardiovascular and cerebrovascular disease.
CONCLUSIONS: The present study investigating 31 physical diseases is the most extensive analysis to date on the topic of back pain and comorbidity. This is an attempt to cast light on the tangled relationships involved in developing and coping with back pain. In view of the large percentage of unspecific back pain, we believe it is important for physicians treating back pain to extend their history and diagnostic analysis skills to embrace comorbidities related to the back pain.

Entities:  

Mesh:

Year:  2006        PMID: 16793296     DOI: 10.1016/j.ejpain.2006.05.005

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.931


  26 in total

1.  Low pressure pain thresholds are associated with, but does not predispose for, low back pain.

Authors:  Søren O'Neill; Per Kjær; Thomas Graven-Nielsen; Claus Manniche; Lars Arendt-Nielsen
Journal:  Eur Spine J       Date:  2011-04-22       Impact factor: 3.134

2.  Chronic pain, body mass index and cardiovascular disease risk factors: tests of moderation, unique and shared relationships in the Study of Women's Health Across the Nation (SWAN).

Authors:  John W Burns; Phillip J Quartana; Stephen Bruehl; Imke Janssen; Sheila A Dugan; Bradley Appelhans; Karen A Matthews; Howard M Kravitz
Journal:  J Behav Med       Date:  2014-11-27

3.  Affective, anxiety, and substance-related disorders in patients undergoing herniated disc surgery.

Authors:  Margrit Zieger; Melanie Luppa; Herbert Matschinger; Hans J Meisel; Lutz Günther; Jürgen Meixensberger; René Toussaint; Matthias C Angermeyer; Hans-Helmut König; Steffi G Riedel-Heller
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2010-09-09       Impact factor: 4.328

4.  [Gender-specific risk factors for acute low back pain: starting points for target-group-specific prevention].

Authors:  E Ochsmann; H Rüger; T Kraus; H Drexler; S Letzel; E Münster
Journal:  Schmerz       Date:  2009-08       Impact factor: 1.107

Review 5.  [Multimodal pain therapy: principles and indications].

Authors:  B Arnold; T Brinkschmidt; H-R Casser; I Gralow; D Irnich; K Klimczyk; G Müller; B Nagel; M Pfingsten; M Schiltenwolf; R Sittl; W Söllner
Journal:  Schmerz       Date:  2009-04       Impact factor: 1.107

6.  [Amplified back pain and comorbidity in the population].

Authors:  A Hüppe; H Raspe
Journal:  Schmerz       Date:  2009-06       Impact factor: 1.107

7.  [Assessment of musculoskeletal pain].

Authors:  M Schiltenwolf
Journal:  Z Rheumatol       Date:  2007-10       Impact factor: 1.372

8.  Prevalence of multisite musculoskeletal symptoms: a French cross-sectional working population-based study.

Authors:  Elsa Parot-Schinkel; Alexis Descatha; Catherine Ha; Audrey Petit; Annette Leclerc; Yves Roquelaure
Journal:  BMC Musculoskelet Disord       Date:  2012-07-20       Impact factor: 2.362

9.  Chronic back problems and labor force participation in a national population survey: impact of comorbid arthritis.

Authors:  Lauren Churcher; Christina H Chan; Elizabeth M Badley
Journal:  BMC Public Health       Date:  2013-04-10       Impact factor: 3.295

10.  Agreement between pre-post measures of change and transition ratings as well as then-tests.

Authors:  Thorsten Meyer; Susanne Richter; Heiner Raspe
Journal:  BMC Med Res Methodol       Date:  2013-03-27       Impact factor: 4.615

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