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Back and neck pain prevalence and their association with physical inactivity domains in adolescents

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Abstract

Purpose

Back pain affects people of all ages. This may be associated with physical inactivity, and in the case of physical activity in different domains, the relationship with back pain is not clear in the literature. The aim of this study was to estimate the prevalence of low back and neck pain and investigate their association in different domains of physical inactivity.

Methods

1011 randomly selected students participated in this study. Neck and back pain were assessed using the Nordic questionnaire, whereas the Baecke Physical Activity questionnaire was used to measure physical activity domains. Separate Binary Logistic Regression models were performed to investigate the association of physical activity domains with neck or back pain.

Results

17.4% of the students reported cervical pain, while 18.0% reported low back pain. Older adolescents had a higher prevalence of cervical pain (24.4%) than younger adolescents (11.9%) (p value <0.001), as well as lumbar pain, being 25.1% in older adolescents and 12.4% in younger (p value <0.001). Adolescents physically inactive in the school environment were less likely to have pain in the cervical region [OR 0.67 (0.44–0.99)] or back pain [OR 0.60 (0.40–0.91)]. Being inactive in occupational activities was associated with cervical pain [OR 1.49 (1.06–2.10)]. Being inactive in the sports environment presented a marginal relationship with pain in the cervical region [OR 1.41 (0.99–2.02)].

Conclusions

The prevalence of neck and low back pain was higher in older adolescents and physical inactivity in the sporting context and occupational activities could be a risk factor to increase the chances of back pain.

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References

  1. Schaller A, Froboese I (2014) Movement coaching: study protocol of a randomized controlled trial evaluating effects on physical activity and participation in low back pain patients. BMC Musculoskelet Disord 15:391. doi:10.1186/1471-2474-15-391

    Article  PubMed  PubMed Central  Google Scholar 

  2. Johansson MS, Jensen Stochkendahl M, Hartvigsen J, Boyle E, Cassidy JD (2017) Incidence and prognosis of mid-back pain in the general population: a systematic review. Eur J Pain 21(1):20–28. doi:10.1002/ejp.884

    Article  CAS  PubMed  Google Scholar 

  3. Rottermund J, Knapik A, Saulicz E, Myśliwiec A, Saulicz M, Rygiel KA, Linek P (2015) Back and neck pain among school teachers in Poland and its correlations with physical activity. Med Pr 66(6):771–778. doi:10.13075/mp.5893.00121

    Article  PubMed  Google Scholar 

  4. Hoy DG, Protani M, De R, Buchbinder R (2010) The epidemiology of neck pain. Best Pract Res Clin Rheumatol 24(6):783–792. doi:10.1016/j.berh.2011.01.019

    Article  CAS  PubMed  Google Scholar 

  5. Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, Williams G, Smith E, Vos T, Barendregt J, Murray C, Burstein R, Buchbinder R (2014) The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis 73(6):968–974. doi:10.1136/annrheumdis-2013-204428

    Article  PubMed  Google Scholar 

  6. Tiira AH, Paananen MV, Taimela SP, Zitting PJ, Järvelin MR, Karppinen JI (2012) Determinants of adolescent health care use for low back pain. Eur J Pain 16(10):1467–1476. doi:10.1002/j.1532-2149.2012.00178.x

    Article  CAS  PubMed  Google Scholar 

  7. Silva GR, Pitangui AC, Xavier MK, Correia-Júnior MA, De Araújo RC (2016) Prevalence of musculoskeletal pain in adolescents and association with computer and videogame use. J Pediatr 92(2):188–196. doi:10.1016/j.jped.2015.06.006

    Article  Google Scholar 

  8. Hakala PT, Saarni LA, Punamäki R, Wallenius MA, Nygård C, Rimpelä AH (2012) Musculoskeletal symptoms and computer use among Finnish adolescents—pain intensity and inconvenience to everyday life: a cross-sectional study. BMC Musculoskelet Disord 13:41. doi:10.1186/1471-2474-13-41

    Article  PubMed  PubMed Central  Google Scholar 

  9. Christofaro DG, Ritti-Dias RM, Chiolero A, Fernandes RA, Casonatto J, de Oliveira AR (2013) Physical activity is inversely associated with high blood pressure independently of overweight in Brazilian adolescents. Scand J Med Sci Sports 23(3):317–322. doi:10.1111/j.1600-0838.2011.01382.x

    Article  CAS  PubMed  Google Scholar 

  10. Bielemann RM, Martinez-Mesa J, Gigante DP (2013) Physical activity during life course and bone mass: a systematic review of methods and findings from cohort studies with young adults. BMC Musculoskelet Disord 14:77. doi:10.1186/1471-2474-14-77

    Article  PubMed  PubMed Central  Google Scholar 

  11. Hestbaek L, Leboeuf-Yde C, Kyvik KO, Manniche C (2006) The course of low back pain from adolescence to adulthood: eight-year follow-up of 9600 twins. Spine (Phila Pa 1976) 31(4):468–472

    Article  Google Scholar 

  12. Skoffer B, Foldspang A (2008) Physical activity and low-back pain in schoolchildren. Eur Spine J 17:373–379. doi:10.1007/s00586-007-0583-8

    Article  PubMed  PubMed Central  Google Scholar 

  13. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering- Sørensen F, Andersson G, Jorgensen K (1987) Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 18(3):233–237

    Article  CAS  PubMed  Google Scholar 

  14. Legault EP, Cantin V, Descarreaux M (2014) Assessment of musculoskeletal symptoms and their impacts in the adolescent population: adaptation and validation of a questionnaire. BMC Pediatr 14:173

    Article  PubMed  PubMed Central  Google Scholar 

  15. Baecke JA, Burema J, Frijters JE (1982) A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr 36(5):936–942

    CAS  PubMed  Google Scholar 

  16. Guedes DP, Lopes CC, Guedes JE, Stanganelli LC (2006) Reproducibility and validity of the Baecke questionnaire for assessing of the habitual physical activity in adolescents. Rev Port Cien Desp 6(3):265–274

    Google Scholar 

  17. Christofaro DG, De Andrade SM, Mesas AE, Fernandes RA, Farias Júnior JC (2016) Higher screen time is associated with overweight, poor dietary habits and physical inactivity in Brazilian adolescents, mainly among girls. Eur J Sport Sci 16(4):498–506. doi:10.1080/17461391.2015.1068868

    Article  PubMed  Google Scholar 

  18. Instituto Brasileiro de Opinião Pública e Estatística. Levantamento sócio econômico-2009-IBOPE. Rio de Janeiro. http://www.abep.org/Servicos/Download.aspx. Accessed 10 July 2016

  19. Hosmer DW, Lemeshow S, Sturdivant RX (2013) Applied logistic regression. Wiley series in probability and statistics, 3rd edn. Wiley, Hoboken

    Book  Google Scholar 

  20. Lemos AT, Santos FR, Moreira RB, Machado DT, Braga FC, Gaya AC (2013) Low back pain and associated factors in children and adolescents in a private school in Southern Brazil. Cad Saude Publica 29(11):2177–2185

    Article  PubMed  Google Scholar 

  21. Dianat I, Sorkhi N, Pourhossein A, Alipour A, Asghari-Jafarabadi M (2014) Neck, shoulder and low back pain in secondary schoolchildren in relation to schoolbag carriage: should the recommended weight limits be gender-specific? Appl Ergon 45(3):437–442. doi:10.1016/j.apergo.2013.06.003

    Article  PubMed  Google Scholar 

  22. Haselgrove C, Straker L, Smith A, O’Sullivan P, Perry M, Sloan N (2008) Perceived school bag load, duration of carriage, and method of transport to school are associated with spinal pain in adolescents: an observational study. Aust J Physiother 54(3):193–200

    Article  PubMed  Google Scholar 

  23. Philippaerts RM, Westerterp KR, Lefevre J (1999) Doubly labelled water validation of three physical activity questionnaires. Int J Sports Med 20(5):284–289

    Article  CAS  PubMed  Google Scholar 

  24. Balagué F, Bibbo E, Mélot C, Szpalski M, Gunzburg R, Keller TS (2010) The association between isoinertial trunk muscle performance and low back pain in male adolescents. Eur Spine J 19(4):624–632. doi:10.1007/s00586-009-1168-5

    Article  PubMed  Google Scholar 

  25. Sitthipornvorakul E, Janwantanakul P, Purepong N, Pensri P, Beek AJ (2011) The association between physical activity and neck and low back pain: a systematic review. Eur Spine J 20:677–689. doi:10.1007/s00586-010-1630-4

    Article  PubMed  Google Scholar 

  26. Auvinen J, Tammelin T, Taimela S, Zitting P, Karppinen J (2008) Associations of physical activity and inactivity with low back pain in adolescents. Scand J Med Sci Sports 18(2):188–194

    Article  CAS  PubMed  Google Scholar 

  27. Aartun E, Boyle E, Hartvigsen J, Ferreira PH, Maher CG, Ferreira ML, Hestbaek L (2016) The most physically active Danish adolescents are at increased risk for developing spinal pain: a two-year prospective cohort study. BMJ Open Sport Exerc Med 2(1):e000097

    Article  PubMed  PubMed Central  Google Scholar 

  28. Wedderkopp N, Kjaer P, Hestbaek L, Korsholm L, Leboeuf-Yde C (2009) High-level physical activity in childhood seems to protect against low back pain in early adolescence. Spine J 9(2):134–141

    Article  CAS  PubMed  Google Scholar 

  29. Guddal MH, Stensland SØ, Småstuen MC, Johnsen MB, Zwart JA, Storheim K (2017) Physical activity level and sport participation in relation to musculoskeletal pain in a population-based study of adolescents: the Young-HUNT Study. Orthop J Sports Med 5(1):2325967116685543

    Article  PubMed  PubMed Central  Google Scholar 

  30. Salminen JJ, Maki P, Oksanen A, Pentti J (1992) Spinal mobility and trunk muscle strength in 15-year-old schoolchildren with and without lowback pain. Spine 17:405–411

    Article  CAS  PubMed  Google Scholar 

  31. Silva GR, Pitangui AC, Xavier MK, Correia-Júnior MA, De Araújo RC (2016) Prevalence of musculoskeletal pain in adolescents and association with computer and videogame use. J Pediatr (Rio J) 92(2):188–196

    Article  Google Scholar 

  32. Kelly G, Dockrell S, Galvin R (2009) Computer use at school: its effect on posture in discomfort in school children. Work 32:321–328

    PubMed  Google Scholar 

  33. Dolphens M, Vansteelandt S, Cagnie B, Vleeming A, Nijs J, Vanderstraeten G, Danneels L (2016) Multivariable modeling of factors associated with spinal pain in young adolescence. Eur Spine J 25(9):2809–2821

    Article  PubMed  Google Scholar 

  34. LeResche L, Mancl LA, Drangsholt MT, Saunders K, Korff MV (2005) Relationship of pain and symptoms to pubertal development in adolescents. Pain 118:201–209

    Article  PubMed  Google Scholar 

  35. Feng Q, Jiang C, Zhou Y, Huang Y, Zhang M (2017) Relationship between spinal morphology and function and adolescent non-specific back pain: a cross-sectional study. J Back Musculoskelet Rehabil. doi:10.3233/BMR-160544 (epub ahead of print)

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Correspondence to Catarina Covolo Scarabottolo.

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Funding sources

Catarina received a scholarship by the São Paulo Research Foundation (FAPESP) Grant #2016/02258-3. The project receives financial support from the National Counsel of Technological and Scientific Development (CNPq) Grant #442395/2014-0

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None of the authors has any potential conflict of interest.

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Scarabottolo, C.C., Pinto, R.Z., Oliveira, C.B. et al. Back and neck pain prevalence and their association with physical inactivity domains in adolescents. Eur Spine J 26, 2274–2280 (2017). https://doi.org/10.1007/s00586-017-5144-1

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  • DOI: https://doi.org/10.1007/s00586-017-5144-1

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