Literature DB >> 31907659

Chronic physical illnesses, mental health disorders, and psychological features as potential risk factors for back pain from childhood to young adulthood: a systematic review with meta-analysis.

Amber M Beynon1, Jeffrey J Hebert2,3, Christopher J Hodgetts2, Leah M Boulos4, Bruce F Walker2.   

Abstract

PURPOSE: To report evidence of chronic physical illnesses, mental health disorders, and psychological features as potential risk factors for back pain in children, adolescents, and young adults.
METHODS: This systematic review and meta-analysis included cohort and inception cohort studies that investigated potential risk factors for back pain in young people. Potential risk factors of interest were chronic physical illnesses, mental health disorders (e.g. depression, anxiety), and other psychological features (e.g. coping, resistance). Searches were conducted in MEDLINE, Embase, CINAHL, and Scopus from inception to July 2019.
RESULTS: Nineteen of 2167 screened articles were included in the qualitative synthesis, and data from 12 articles were included in the meta-analysis. Evidence from inception cohort studies demonstrated psychological distress, emotional coping problems, and somatosensory amplification to be likely risk factors for back pain. Evidence from non-inception cohort studies cannot distinguish between risk factors or back pain triggers. However, we identified several additional factors that were associated with back pain. Specifically, asthma, headaches, abdominal pain, depression, anxiety, conduct problems, somatization, and 'feeling tense' are potential risk factors or triggers for back pain. Results from the meta-analyses demonstrated the most likely risk factors for back pain in young people are psychological distress and emotional coping problems.
CONCLUSION: Psychological features are the most likely risk factors for back pain in young people. Several other factors were associated with back pain, but their potential as risk factors was unclear due to risk of bias. Additional high-quality research is needed to better elucidate these relationships. These slides can be retrieved under Electronic Supplementary Material.

Entities:  

Keywords:  Back pain; Children; Meta-analysis; Risk factors; Systematic review; Young adult

Mesh:

Year:  2020        PMID: 31907659     DOI: 10.1007/s00586-019-06278-6

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  41 in total

Review 1.  Nature or nurture in low back pain? Results of a systematic review of studies based on twin samples.

Authors:  P H Ferreira; P Beckenkamp; C G Maher; J L Hopper; M L Ferreira
Journal:  Eur J Pain       Date:  2013-01-20       Impact factor: 3.931

Review 2.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

3.  Low back pain comorbidity among male farmers and rural referents: a population-based study.

Authors:  Sara Holmberg; Anders Thelin; Eva-Lena Stiernström; Kurt Svärdsudd
Journal:  Ann Agric Environ Med       Date:  2005       Impact factor: 1.447

4.  Pain complaints as risk factor for mental distress: a three-year follow-up study.

Authors:  Lars Lien; Kristian Green; Magne Thoresen; Espen Bjertness
Journal:  Eur Child Adolesc Psychiatry       Date:  2011-08-17       Impact factor: 4.785

5.  The frequency, trajectories and predictors of adolescent recurrent pain: a population-based approach.

Authors:  Elizabeth A Stanford; Christine T Chambers; Jeremy C Biesanz; Edith Chen
Journal:  Pain       Date:  2008-02-21       Impact factor: 6.961

6.  The incidence of back pain and headache among Swedish school children.

Authors:  G Brattberg
Journal:  Qual Life Res       Date:  1994-12       Impact factor: 4.147

7.  Trajectories of pain in adolescents: a prospective cohort study.

Authors:  Kate M Dunn; Kelvin P Jordan; Lloyd Mancl; Mark T Drangsholt; Linda Le Resche
Journal:  Pain       Date:  2010-10-23       Impact factor: 7.926

8.  Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

Authors:  Karel G M Moons; Joris A H de Groot; Walter Bouwmeester; Yvonne Vergouwe; Susan Mallett; Douglas G Altman; Johannes B Reitsma; Gary S Collins
Journal:  PLoS Med       Date:  2014-10-14       Impact factor: 11.069

9.  Undue reliance on I(2) in assessing heterogeneity may mislead.

Authors:  Gerta Rücker; Guido Schwarzer; James R Carpenter; Martin Schumacher
Journal:  BMC Med Res Methodol       Date:  2008-11-27       Impact factor: 4.615

10.  Cognitive processing styles of children and adolescents with headache and back pain: a longitudinal epidemiological study.

Authors:  Antonia Barke; Jennifer Gaßmann; Birgit Kröner-Herwig
Journal:  J Pain Res       Date:  2014-07-10       Impact factor: 3.133

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  1 in total

1.  Spinal pain increases the risk of becoming overweight in Danish schoolchildren.

Authors:  Lise Hestbaek; Ellen Aartun; Pierre Côté; Jan Hartvigsen
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

  1 in total

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