Literature DB >> 26070550

Accumulation of psychosocial and lifestyle factors and risk of low back pain in adolescence: a cohort study.

Paula Mikkonen1, Eveliina Heikkala2, Markus Paananen2, Jouko Remes3, Simo Taimela4, Juha Auvinen5, Jaro Karppinen2,6.   

Abstract

PURPOSE: Low back pain (LBP) is common already in adolescence, and many risk indicators including both psychosocial and lifestyle factors have been recognized. Our purpose was to assess whether the co-occurrence of psychosocial (externalizing and internalizing) problems and lifestyle factors (leisure time physical activity, sedentary behaviour, sleep, smoking, and overweight/obesity) associate with LBP at 16 years cross-sectionally or with new LBP at 18-year follow-up.
METHODS: The study population, drawn from the Northern Finland Birth Cohort 1986, consisted of 1625 participants (712 boys and 913 girls) who completed a questionnaire on potential explanatory factors at 16 years and on LBP at 16 and 18 years. The outcome measure was 'reporting LBP' or 'consultation for LBP' during the past 6 months. Latent Class Analysis (LCA) was utilized to study the co-occurrence of the explanatory factors.
RESULTS: Among both genders, four clusters were found. Externalizing behaviour problems were associated with 'reporting LBP' (RR 1.5, boys 1.4, girls) and 'consultation for LBP' (RR 1.6 for both genders) at baseline among both genders. In addition, the cluster of multiple risk behaviours was associated with both 'reporting LBP' (RR 1.3) and 'consultation for LBP' (RR 2.5) and the obese cluster with 'consultation for LBP' (RR 1.7) among girls. Externalizing behaviour problems at 16 years predicted 'consultation for LBP' at 18 years among girls (RR 3.6).
CONCLUSIONS: Our results stress the role of psychosocial factors in reporting and seeking care for adolescent LBP.

Entities:  

Keywords:  Adolescent; Care seeking; Cohort studies; Latent class analysis; Low back pain; Risk factors

Mesh:

Year:  2015        PMID: 26070550     DOI: 10.1007/s00586-015-4065-0

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


  29 in total

1.  Childhood and early adult predictors of risk of incident back pain: Ontario Child Health Study 2001 follow-up.

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Review 2.  Epidemiology of low back pain in children and adolescents.

Authors:  G T Jones; G J Macfarlane
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3.  Attention and behavioural problems of Finnish adolescents may be related to the family environment.

Authors:  Tuula Hurtig; Anja Taanila; Hanna Ebeling; Jouko Miettunen; Irma Moilanen
Journal:  Eur Child Adolesc Psychiatry       Date:  2005-12       Impact factor: 4.785

4.  At what age does low back pain become a common problem? A study of 29,424 individuals aged 12-41 years.

Authors:  C Leboeuf-Yde; K O Kyvik
Journal:  Spine (Phila Pa 1976)       Date:  1998-01-15       Impact factor: 3.468

5.  Clustering of lifestyle risk factors in a general adult population.

Authors:  A Jantine Schuit; A Jeanne M van Loon; Marja Tijhuis; Marga Ocké
Journal:  Prev Med       Date:  2002-09       Impact factor: 4.018

6.  Is insufficient quantity and quality of sleep a risk factor for neck, shoulder and low back pain? A longitudinal study among adolescents.

Authors:  Juha P Auvinen; Tuija H Tammelin; Simo P Taimela; Paavo J Zitting; Marjo-Riitta Järvelin; Anja M Taanila; Jaro I Karppinen
Journal:  Eur Spine J       Date:  2009-11-20       Impact factor: 3.134

7.  Pubertal changes in daytime sleepiness.

Authors:  M A Carskadon; K Harvey; P Duke; T F Anders; I F Litt; W C Dement
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8.  A school-based survey of recurrent non-specific low-back pain prevalence and consequences in children.

Authors:  M A Jones; G Stratton; T Reilly; V B Unnithan
Journal:  Health Educ Res       Date:  2004-06

9.  The course of low back pain from adolescence to adulthood: eight-year follow-up of 9600 twins.

Authors:  Lise Hestbaek; Charlotte Leboeuf-Yde; Kirsten Ohm Kyvik; Claus Manniche
Journal:  Spine (Phila Pa 1976)       Date:  2006-02-15       Impact factor: 3.468

10.  Resilience and patterns of health risk behaviors in California adolescents.

Authors:  Ritesh Mistry; William J McCarthy; Antronette K Yancey; Yao Lu; Minal Patel
Journal:  Prev Med       Date:  2008-12-30       Impact factor: 4.018

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  16 in total

Review 1.  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.

Authors:  Amber M Beynon; Jeffrey J Hebert; Christopher J Hodgetts; Leah M Boulos; Bruce F Walker
Journal:  Eur Spine J       Date:  2020-01-06       Impact factor: 3.134

2.  The relationship between findings on magnetic resonance imaging and previous history of low back pain.

Authors:  Juichi Tonosu; Hiroyuki Oka; Ko Matsudaira; Akiro Higashikawa; Hiroshi Okazaki; Sakae Tanaka
Journal:  J Pain Res       Date:  2016-12-29       Impact factor: 3.133

3.  Failure to define low back pain as a disease or an episode renders research on causality unsuitable: results of a systematic review.

Authors:  Emad M Ardakani; Charlotte Leboeuf-Yde; Bruce F Walker
Journal:  Chiropr Man Therap       Date:  2018-01-09

4.  Thematic series - Low back pain.

Authors:  Dino Samartzis; Theodoros B Grivas
Journal:  Scoliosis Spinal Disord       Date:  2017-01-18

5.  The associations between magnetic resonance imaging findings and low back pain: A 10-year longitudinal analysis.

Authors:  Juichi Tonosu; Hiroyuki Oka; Akiro Higashikawa; Hiroshi Okazaki; Sakae Tanaka; Ko Matsudaira
Journal:  PLoS One       Date:  2017-11-15       Impact factor: 3.240

6.  Psychometric Properties of the Perceived Stress Questionnaire (PSQ) in 15-16 Years Old Norwegian Adolescents.

Authors:  Berit Østerås; Hermundur Sigmundsson; Monika Haga
Journal:  Front Psychol       Date:  2018-10-01

7.  Psychiatric research in the Northern Finland Birth Cohort 1986 - a systematic review.

Authors:  Jouko Miettunen; Marianne Haapea; Lassi Björnholm; Sanna Huhtaniska; Teija Juola; Lotta Kinnunen; Heli Lehtiniemi; Johannes Lieslehto; Nina Rautio; Tanja Nordström
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8.  Perceived stress and musculoskeletal pain are prevalent and significantly associated in adolescents: an epidemiological cross-sectional study.

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9.  Leveraging healthcare utilization to explore outcomes from musculoskeletal disorders: methodology for defining relevant variables from a health services data repository.

Authors:  Daniel I Rhon; Derek Clewley; Jodi L Young; Charles D Sissel; Chad E Cook
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Review 10.  Low back pain, obesity, and inflammatory markers: exercise as potential treatment.

Authors:  Isabela Maia da Cruz Fernandes; Rafael Zambelli Pinto; Paulo Ferreira; Fábio Santos Lira
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