Literature DB >> 11219106

[Risk factors for low back pain among 1.389 pupils in the 8th and 9th grade. An epidemiologic study].

M S Harreby1, B Nygaard, T T Jessen, E Larsen, A Storr-Paulsen, A Lindahl, I Fisker, E Laegaard.   

Abstract

INTRODUCTION: The aim of this study was to investigate the frequency and severity of low back pain (LBP) in 13-16-year-old pupils in relation to selected factors, such as anthropometry, physical activity, smoking, hypermobility, and tightness of hamstring muscles.
METHODS: The study was designed as a cross-sectional questionnaire-based survey and all the pupils were examined by the school doctor for height, weight, mobility of joints, and general health status.
RESULTS: The lifetime prevalence of non-specific LBP was 58.9% and the one-year prevalence was 50.8% with no differences between the sexes. Recurrent/continuous LBP in a moderate to severe degree was recorded in 19.4% of the school children (182 F, 88 M). This was positively correlated to a female gender, a BMI of more than 25 kg/square meter, competitive sports for boys, poor physical fitness, daily smoking, heavy jobs in leisure time, increased use of the health system, and reduced life quality. DISCUSSION: Stepwise logistic regression analysis indicates that a female gender, daily smoking, and heavy jobs are important associated factors for severe LBP in adolescents, with an observed probability of 46% if all factors are present. We do not know yet whether these factors have any causal importance for the development of severe LBP.

Entities:  

Mesh:

Year:  2001        PMID: 11219106

Source DB:  PubMed          Journal:  Ugeskr Laeger        ISSN: 0041-5782


  6 in total

1.  Workplace stress, lifestyle and social factors as correlates of back pain: a representative study of the German working population.

Authors:  Sven Schneider; Holger Schmitt; Silke Zoller; Marcus Schiltenwolf
Journal:  Int Arch Occup Environ Health       Date:  2005-04-12       Impact factor: 3.015

2.  [Physical movement - is it good for the back? Nationwide representative study on different effects of physical activity at the workplace and in leisure time].

Authors:  S Schneider; S Zoller
Journal:  Orthopade       Date:  2009-10       Impact factor: 1.087

3.  Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography.

Authors:  Hyo Min Lee; Young Jae Kim; Je Bok Cho; Ji Young Jeon; Kwang Gi Kim
Journal:  J Digit Imaging       Date:  2022-03-11       Impact factor: 4.903

4.  Low back pain in adolescent and associated factors: A cross sectional study with schoolchildren.

Authors:  Mônica R O G C M Silva; Ana Fátima V Badaró; Marinel M Dall'Agnol
Journal:  Braz J Phys Ther       Date:  2014-10-10       Impact factor: 3.377

5.  Tools for Assessing Knowledge of Back Health in Adolescents: A Systematic Review Protocol.

Authors:  Adriana Cristina Fiaschi Ramos; Regina Márcia Ferreira Silva; Thailyne Bizinotto; Leonardo Mateus Teixeira de Rezende; Vicente Miñana-Signes; Manuel Monfort-Pañego; Priscilla Rayanne E Silva Noll; Matias Noll
Journal:  Healthcare (Basel)       Date:  2022-08-22

6.  Spine Day 2012: spinal pain in Swiss school children- epidemiology and risk factors.

Authors:  Brigitte Wirth; Christina Knecht; Kim Humphreys
Journal:  BMC Pediatr       Date:  2013-10-05       Impact factor: 2.125

  6 in total

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