Abstract
Objectives
Following a search conducted in several databases, no instrument was found that jointly evaluates the prevalence of back pain and its associated demographic, social–economic, hereditary, behavioral and postural risk factors. Thus, the present study aims to develop the Back Pain and Body Posture Evaluation Instrument (BackPEI) for school-age children and verify its validity and reproducibility.
Methods
Twenty-one questions were elaborated to compose the BackPEI instrument, eight experts checked the content validity, and its reproducibility was tested by applying the questionnaire to 260 primary schoolchildren, at two different times with a 7-day interval.
Results
The reproducibility data for the first 20 questions, analyzed using the kappa (k) coefficient, were classified as “very good” (k > 0.8) or “good” (0.6 < k ≤ 0.8). The reproducibility data for the pain intensity question, analyzed using the Wilcoxon test and the intraclass correlation coefficients (ICC), demonstrated that there was no difference between the averages (p = 0.251) and the responses were highly correlated (ICC = 0.937) for these two tests.
Conclusions
The BackPEI constitutes a valid and reproducible instrument which is relevant for the evaluation of back pain and its associated risk factors.
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References
Ashraf M et al (2008) Genetic and environmental influences on non-specific low back pain in children: a twin study. Eur Spine J 17:502–508
Auvinen JP et al (2010) Is insufficient quantity and quality of sleep a risk factor for neck, shoulder and low back pain? A longitudinal study among adolescents. Eur Spine J 19(4):641–649
Ayanniyi O et al (2011) Prevalence and profile of back pain Nigerian adolescents. Med Princ Pract 20:368–373
Baeyer C (2006) Children’s self-reports of pain intensity: scale selection, limitations and interpretation. Pain Res Manag 11(3):157–162
Balagué F et al (1999) Non-specific low back pain in children and adolescents: risk factors. Eur Spine J 8:429–438
Balagué F et al (2007) Clinical update: low back pain. Lancet 369(3):726–728
Bejia I et al (2006) Reproducibility of a low back pain questionnaire in Tunisian adolescents. Clin Rheumatol 25:715–720
Candotti CT et al (2012) Evaluation of weight and mode of transport of student in school of education. Rev Paul Pediatr 30(1):100–106
Cardon G et al (2000) Effects of back care education in elementary schoolchildren. Acta Paediatr 89:1010–1017
Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 10:37–46
Detsch C et al (2007) Prevalência de alterações posturais em escolares do ensino médio em uma cidade no Sul do Brasil. Rev Panam Salud Publica 21:231–238
Dunk N, Callaghan J (2005) Gender-based differences in postural responses to seated exposures. Clin Biomech 20:1101–1110
Grant J, Davis L (1997) Selection and use of content experts for instrument development. Res Nurs Health 20:269–274
Grimmer K, Williams M (2000) Gender–age environmental associates of adolescent low back pain. Appl Ergon 31:343–360
Guillemin F et al (1993) Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. J Clin Epidemiol 46:1417–1432
Gunzburg R et al (1999) Low back pain in a population of school children. Eur Spine J 8:439–443
Heymans MW et al (2005) Back school for nonspecific low back pain: as systematic review within the framework of the Cochrane Collaboration Back Review Group. Spine 30(19):2153–2163
Hoy D et al (2010) The epidemiology of low back pain. Best Pract Res Clin Rheumatol 24:769–781
Korovessis P et al (2005) Backpacks, back pain, sagittal spinal curves and trunk alignment in adolescents: a logistic and multinomial logistic analysis. Spine 30(2):247–255
Kramer MS, Feinstein AR (1981) Clinical biostatistics: the biostatistics of concordance. Clin Phamacol Ther 29:111–123
Limon S et al (2004) Risk factors for low back pain in the elementary school environment. Spine 29(6):697–702
Mannion AF et al (2005) Outcome assessment in low back pain: how low can you go? Eur Spine 14:1014–1026
Masiero S et al (2008) Prevalence of nonspecific low back pain in schoolchildren aged between 13 and 15 years. Acta Paediatr 97(2):212–216
Mehta TB et al (2002) Development of a survey to asses backpack use and neck and back pain in seventh and eighth graders. Pediatr Phys Ther 14:171–184
Meziat FN, Silva G (2011) Disability pension from back pain among social security beneficiaries, Brazil. Rev Saúde Públ 45(3):494–502
Mohseni-Bandpei MA et al (2009) Low back pain in 1,100 Iranian pregnant women: prevalence and risk factors. Spine J 9:795–801
Paananen MV et al (2010) Psychosocial, mechanical, and metabolic factors in adolescents’ musculoskeletal pain in multiple locations: a cross-sectional study. European Journal of Pain 14:395–401
Pedhazur EJ, Schmelkin LP (1991) Measurement, design and analysis and integrated approach. Lawrence Erlbaum Associates, Hillsdale, pp 88–89
Real MTG et al (1999) Evaluation of two questionnaires to determine exposure to risk factors for non-specific low back pain in Mallorcan schoolchildren and their parents. Eur J Public Health 9:194–199
Ribeiro CC, Gómez-Conesa A (2008) Lower back pain: prevalence and preventive programs in childhood and adolescence. Rev Iberoam Fisioter Kinesiol 11(1):32–38
Robbins M et al (2009) Encouraging good posture in school children using computers. Clin Chiropr 12:35–44
Rubio D et al (2003) Objectifying content validity: conducting a content validity study in social work research. Social Work Research 27(2):94–104
Sato T et al (2008) Low back pain in childhood and adolescence: a cross-sectional study in Niigata City. Eur Spine J 17(11):1441–1447
Schlademann S et al (2008) The test–retest reliability of a questionnaire on the occurrence and severity of back pain in a German population sample. Int J Public Health 53:96–103
Shehab DK, Jarallah KF (2005) Nonspecific low-back pain in Kuwaiti children and adolescents: associated factors. J Adolescent Health 36(1):32–35
Sim J, Wright C (2005) The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther 85(3):257–268
Skoffer B, Foldspang A (2008) Physical activity and low-back pain in schoolchildren. Eur Spine J 17:373–379
Staes F et al (1999) Reproducibility of a survey questionnaire for the investigation of low back problems in adolescents. Acta Paediatr 88:1269–1273
Stinson JN et al (2006) Systematic review of the psychometric properties, interpretability and feasibility of self-report pain intensity measures for use in clinical trials in children and adolescents. Pain 125:143–157
Taimela S et al (1997) The prevalence of low back pain among children and adolescents: a nationwide, cohort-based questionnaire survey in Finland. Spine 22(10):1132–1136
Trevelyan FC, Legg SJ (2006) Back pain in school children—where to from here? Appl Ergon 37:45–54
Troussier B et al (1992) Back pain in school children: a study among 1178 pupils. Scan J Rehabil Med 26:143–146
Vigatto R et al (2007) Development of a Brazilian Portuguese version of the Oswestry Disability Index. Spine 32(4):481–486
Watson KD et al (2002) Low back pain in schoolchildren: occurrence and characteristics. Pain 97(1):87–92
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Noll, M., Tarragô Candotti, C., Vieira, A. et al. Back Pain and Body Posture Evaluation Instrument (BackPEI): development, content validation and reproducibility. Int J Public Health 58, 565–572 (2013). https://doi.org/10.1007/s00038-012-0434-1
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DOI: https://doi.org/10.1007/s00038-012-0434-1