Factors associated with intensity and frequent low back pain in high school students
Main Article Content
Abstract
Introduction: Low back pain is frequent among schoolchildren and the variables related to high intensity and high back frequency are important predictors for the increase of such complaints in adulthood. Objective: To determine the high intensity and high frequency of low back pain and its associated factors in high school students. Methods: This cross-sectional study included 760 students (319 boys and 441 girls) who reported low back pain. Demographic, socioeconomic, electronic devices, habitual physical activity practice, mental health, and high frequency and high intensity low back pain data were collected. Descriptive analyzes and bivariate and multivariate logistic regressions were used. Results: Of the total number of subjects with low back pain, 14.6% reported high frequency of pain, being 36.9% boys and 63.1% girls, while 42.6% reported high intensity, being 35.8% boys and 47.2% girls. The variables associated with the high frequency of low back pain were altered mental health, posture lying on the use of tablet, time of daily use of the cell phone and distance of the screen to the eyes of the computer user, while the female sex, mental health problem, posture lying on the use of cell phone and the distance of the screen to the eyes of the computer user with severe intensity of low back pain. Conclusion: The demographic factors and related to the use of electronic devices were associated with high intensity and high frequency of low back pain.
Downloads
Article Details
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY) that allows others to share and adapt the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.References
Calvo-Muñoz I, Gómez-Conesa A, Sánchez-Meca J. Prevalencia del dolor lumbar durante la infancia y la adolescencia. Una revisión sistemática. Rev Esp Salud Publica. 2012;86(4):331-56.
Shan Z, Deng G, Li J, Li Y, Zhang Y, Zhao Q. Correlational Analysis of neck/shoulder Pain and Low Back Pain with the Use of Digital Products, Physical Activity and Psychological Status among Adolescents in Shanghai. PLoS One. 2013;8(10):e78109. http://doi.org/10.1371/journal.pone.0078109
Shipp EM, Cooper SP, Del Junco DJ, Delclos GL, Burau KD, Tortolero SR. Severe back pain among farmworker high school students from Starr County, Texas: baseline results. Ann Epidemiol. 2007;17(2):132-41. http://doi.org/10.1016/j.annepidem.2006.06.011
Sirsat J, Kumar S, Rehman Z, Rajan R, Al-Qatrani RA, Mirghani AZ, et al. Prevalence of and factors associated with back pain among high school students a croos-sectional study. 4th Annual global healthcare conference, 2015.
Onofrio AC, Silva MC, Domingues MR, Rombaldi AJ. Acute low back pain in high school adolescents in Southern Brazil: prevalence and associated factors. Eur Spine J. 2012;21(7):1234-40. http://doi.org/10.1007/s00586-011-2056-3
Selle Junior D, Noll M, Chaise FO, Candotti CT, La Torre M. Prevalência de dor em adolescentes estudantes do ensino médio diurno do município de Garibaldi/RS. Rev Saude (Santa Maria). 2015:41(2);211-16. https://doi.org/10.5902/2236583415997
Fonseca CD, Candotti CT, Noll M, Luz AMH, Santos AC, Corso CO. Prevalence of back pain among high school students in a municipality in southern Brazil. Fisioter Mov. 2016;29(1):137-46. http://dx.doi.org/10.1590/0103-5150.029.001.AO15
Lemos AT, Santos FR, Moreira RB, Machado DT, Braga FCC, Gaya ACA. Ocorrência de dor lombar e fatores associados em crianças e adolescentes de uma escola privada do sul do Brasil. Cad Saude Pública. 2013;29(11):2177-85. http://dx.doi.org/10.1590/0102-311x00030113
Saueressig IB, Oliveira VM, Xavier MK, Santos LR, Silva KM, Araújo RC. Prevalence of musculoskeletal pain in adolescents and its association with the use of electronic devices. Rev Dor. 2015;16(2):129-35. http://dx.doi.org/10.5935/1806-0013.20150025
Silva GRR, Pitangui ACR, Xavier MKA, Correia-Júnior MAV, Araújo RC. Prevalence of musculoskeletal pain in adolescents and association with computer and videogame use. J Pediatr (Rio J). 2016;92(2):188-96. https://doi.org/10.1016/j.jped.2015.06.006
Meucci RD, Linhares AO, Olmedo DWV, Sobrinho ELPC, Duarte VM, Almeida CJ. Dor lombar em adolescentes do semiárido: resultados de um censo populacional no município de Caracol (PI), Brasil. Cienc Saude Coletiva. 2018;23(3):733-40. http://dx.doi.org/10.1590/1413-81232018233.04312016
Silva AG, Sa-Couto P, Queirós A, Neto M, Rocha NP. Pain, pain intensity and pain disability in high school students are differently associated with physical activity, screening hours and sleep. BMC Musculoskelet Disord. 2017;18(1):194. http://dx.doi.org/10.1186/s12891-017-1557-6
Šagát P, Bartík P, Prieto González P, Tohănean DI, Knjaz D. Impact of COVID-19 Quarantine on Low Back Pain Intensity, Prevalence, and Associated Risk Factors among Adult Citizens Residing in Riyadh (Saudi Arabia): A Cross-Sectional Study. Int J Environ Res Public Health. 2020 Oct 6;17(19):7302. http://dx.doi.org/10.3390/ijerph17197302
Ferreira G, Costa LM, Stein A, Hartvigsen J, Buchbinder R, Maher CG. Tackling low back pain in Brazil: a wake-up call. Braz J Phys Ther. 2018;23:189-95. http://dx.doi.org/10.1016/j.bjpt.2018.10.001
Bento TP, Cornelio GP, Perrucini PO, Simeão SF, Conti MH, Vitta A. Low back pain in adolescents and association with sociodemographic factors, electronic devices, physical activity and mental health. J Pediatr (Rio J). 2019;S0021-7557(19)30279-7. https://doi.org/10.1016/j.jped.2019.07.008
Guedes DP, Lopes CC, Guedes JERP, Stanganelli LC. Reprodutibilidade e validade do questionário Baecke para avaliação da atividade física habitual em adolescentes. Rev Port Cienc Desp. 2006;6(3):265-74.
Fleitlich-Bilyk B, Goodman R. Prevalence of child and adolescent psychiatric disorders in Southeast Brazil. J Am Acad Child Adolescent Psychiatr. 2004;4396):727-34. https://doi.org/10.1097/01.chi.0000120021.14101.ca
Kamper SJ, Henschke N, Hestbaek L, Dunn KM, Williams CM. Musculoskeletal pain in children and adolescents. Braz J Phys Ther. 2016;20(3):275-84. https://doi.org/10.1590/bjpt-rbf.2014.0149
Barros ENC, Alexandre NMC. Cross-Cultural adaptation of the Nordic Musculoskeletal Questionnaire. Int Nurs Rev. 2003;50(2):101-8. https://doi.org/10.1046/j.1466-7657.2003.00188.x
Dionne CE, Dunn KM, Croft PR, Nachemson AL, Buchbinder R, Walker BF, et al. A Consensus Approach Toward the Standardization of Back Pain Definitions for Use in Prevalence Studies. Spine. 2008;33(1):95-103. https://doi.org/10.1097/BRS.0b013e31815e7f94
Boonstra AM, Preuper HRS, Balk GA, Stewart RE. Cut-off points for mild, moderate, and severe pain on the visual analogue scale for pain in patients with chronic musculoskeletal pain. Pain. 2014;155(12):2545-50. https://doi.org/10.1016/j.pain.2014.09.014
Ferreira GD, Silva MC, Rombaldi AJ, Wrege ED, Siqueira FV, Hallal PC. Prevalência de dor nas costas e fatores associados em adultos do sul do Brasil: estudo de base populacional. Rev Bras Fisioter. 2011;15(1):31-6. http://dx.doi.org/10.1590/S1413-35552011005000001
Victora CG, Huttly SR, Fuchs SC, Olinto MTA. The role of conceptual frameworks in epidemiological analysis: A hierarchical approach. Int J Epidemiol. 1997;26(1):224-7. http://dx.doi.org/10.1093/ije/26.1.224
Noll M, Silveira EA, Avelar ISD. Evaluation of factors associated with severe and frequent back pain in high school athletes. PLoS One. 2017;12(2):e0171978. https://doi.org/10.1371/journal.pone.0171978
Hakala PT, Saarni LA, Punamäki RL, Wallenius MA, Nygard CH, Rimpelä AH. Musculoskeletal symptoms and computer use among Finnish adolescentes-pain intensity and inconvenience to everyday life: a cross-sectional study. BMC Musculoskelet Disord. 2012;13:41. https://doi.org/10.1186/1471-2474-13-41
Akdag B, Cavlak U, Cimbiz A, Camdeviren H. Determination of pain intensity risk factors among school children with nonspecific low back pain. Med Sci Monit. 2011;17(2):PH12-15. https://doi.org/10.12659/msm.881378
Yao W, Luo C, Ai F, Chen Q. Risk factors for nonspecific low-back pain in Chinese adolescents a case-control study. Pain Med. 2012;13(5):658-64. https://doi.org/10.1111/j.1526-4637.2012.01369.x
Sakboonyarat B, Chokcharoensap K, Meesaeng M, Jaisue N, Janthayanont D, Srisawat P. Prevalence and Associated Factors of Low Back Pain (LBP) among Adolescents in Central, Thailand. Global J Health Sci. 2018;10(2):49-59. https://doi.org/10.5539/gjhs.v10n2p49
Ning X, Huang Y, Hu B, Nimbarte AD. Neck kinematics and muscle activity during mobile device operations. Int J Ind Ergon. 2015;48:10-5. https://doi.org/10.1016/j.ergon.2015.03.003
Brink Y, Louw Q, Grimmer K, Jordaan E. The spinal posture of computing adolescents in a real-life setting. BMC Musculoskelet Disord. 2014;15:212. https://doi.org/10.1186/1471-2474-15-212
Gold JE, Driban JB, Yingling VR. Characterization of posture and comfort in laptop users in non-desk settings. Appl Ergon. 2012;43:392-9. https://doi.org/10.1016/j.apergo.2011.06.014
Lee SP, Hsu YT, Bair B, Toberman M, Chien LC. Gender and posture are significant risk factors to musculoskeletal symptoms during touchscreen tablet computer use. J Phys Ther Sci. 2018;30(6):855-61. https://doi.org/10.1589/jpts.30.855
Straker L, Jones KJ, Miller J. A comparison of the postures assumed when using laptop computers and desktop computers. Appl Ergon. 1997;28(4):263-8. https://doi.org/10.1016/s0003-6870(96)00073-7
Murphy P. Visual aid. Am School Univ. 1994;66(5):60A.
Blais BR. Visual ergonomics of the office workplace. Chem Health Safety. 1999;6(4):31-8. https://doi.org/10.1016/S1074-9098(99)00013-1
Huguet A, Tougas ME, Hayden J, McGrath PJ, Stinson JN, Chambers CT. A systematic review with meta-analysis of childhood and adolescent risk and prognostic factors for musculoskeletal pain. Pain. 2016;157:2640-56. https://doi.org/10.1097/j.pain.0000000000000685
Caes L, Fisher E, Clinch J, Tobias JH, Eccleston C. The role of pain-related anxiety in adolescents’ disability, and social impairment: ALSPAC data. Eur J Pain. 2015;19(6):842-51. https://doi.org/10.1002/ejp.611
Kamper SJ, Michaleff ZA, Campbell P, Dunn KM, Yamato TP, Hodder RK, et al. Back pain, mental health and substance use are associated in adolescents. J Public Health (Oxf). 2019;41(3):487‐93. https://doi.org/10.1093/pubmed/fdy129