Öğretmenlerde Bel Ağrısı İle İlişkili Faktörlerin Belirlenmesi

Amaç: Öğretmenlerde, mesleki yüklenmelerden dolayı bel ağrısı sıklıkla görülen bir durumdur. Bu çalışmanın amacı, öğretmenlerde yaş, vücut kitle indeksi (VKİ), çalışma postürü ve çalışma yılının bel ağrısıyla olan ilişkisini incelemektir. Yöntem: Çalışmaya 88 öğretmen (44 erkek, 44 bayan) dahil edildi. Öğretmenlerin ortalama yaşları 39,78 ± 9,14 yıl, ortalama boy uzunluğu 169,69 ± 8,77 cm, ortalama vücut ağırlığı 73,83 ± 14,92 kg, ortalama VKİ 25,53 ± 4,28 kg/m2 ve ortalama yıllık çalışma süreleri 15,36 ± 9,54 yıl idi. Öğretmenlerin bel ağrısı ile ilgili şikayetleri Quebec Bel Ağrısı Özürlülük Ölçeği (QBAÖÖ) ile değerlendirilirken, çalışma postürleri için Ovako Çalışma Postürü Analiz Sistemi (OÇPAS) kullanıldı. Bel ağrısı etkilenim derecesi ile yaş, VKİ, çalışma postürü ve çalışma yılı arasındaki ilişki Spearman korelasyon katsayısı kullanılarak incelendi. Sonuçlar: Çalışma yılı ile QBAÖÖ skoru arasında (rho:0,281 p:0,008) düşük derecede pozitif korelasyon bulundu. Yaş ile QBAÖÖ skoru arasında (rho:0,350 p:0,001) orta derecede pozitif korelasyon bulundu. OÇPAS ile QBAÖÖ (rho:0,28 p:0,007) skoru arasında düşük derecede pozitif korelasyon bulunurken, VKİ ile QBAÖÖ (rho:0,036 p:0,741) skoru arasında herhangi bir ilişki görülmedi. OÇPAS skorlama sonuçlarına göre öğretmenlerin çalışma postürü risk seviyesi; % 58’inde (n:51) kategori 1, % 30,7’sinde (n:27) kategori 2, % 10,2’sinde (n:9) kategori 3, % 1,1’inde (n:1) kategori 4 olarak bulundu. Tartışma: Bu sonuçlara göre yaş, çalışma yılı ve çalışma postürünün öğretmenlerde bel ağrısı özürlülük düzeyi ile ilişkili olduğu görüldü. Bu nedenle öğretmenlere de bel ağrısı ile ilgili ergonomik eğitim verilmesi, çalışma yılı ve yaşı ilerlemiş olan öğretmenlerde çalışma saatleri ve dinlenme periyotlarının düzenlenmesi önerilmektedir. 
Anahtar Kelimeler:

bel ağrısı, öğretmen, postür

DETERMINATION OF THE FACTORS CORRELATED WITH LOW BACK PAIN IN TEACHERS

Purpose: Depending on the occupational loading, back pain is frequently encountered in teachers. The aim of this study is to examine the correlations of age, body mass index (BMI), working posture and working experience with back pain in teachers. Methods: A total of 88 teachers (44 male, 44 female) were included in this study. Mean age, mean height, mean body weight, mean BMİ and mean working years of teachers were (39.78 ± 9.14 years), (169.69 ± 8.77 cm), (73.83 ± 14.92 kg), (25.53 ± 4.28 kg/m2), (15.36 ± 9:54 years). Quebec Back Pain Disability Scale (QBPDS) was used to assess complaints of back pain, while the Ovako Working Posture Analysis System (OWAS) was used to assess working posture. The relation between back pain disability level and age, BMI, working posture and working years were investigated by Spearman correlation coefficient. Results: There was a positive low correlation between the working years and QBPDS (rho:0,281 p:0,008). There was a positive moderate correlation between age and QBP- DS (rho:0,350 p:0,001). While OWAS was positively low correlated with QBPDS (rho:0,285 p:0,007), there was no correlation between BMI and QBPDS (rho:0,036 p:0,741). According to the OWAS scoring, teacher’s working posture risk level were 58 % (n:51) category 1, 30.7 % (n:27) category 2, 10.2 % (n:9) category 3, 1.1 % (n:1) category 4. Discussion: According to our results; age, working years and working posture correlated with the back pain disability level in teachers. Therefore, training of the teachers about the back ergonomy and/or pain and especially in teachers with advanced age and working years revise the working hours and rest periods are recommended. 

___

  • 1. Picavet HS, Schouten JS. Musculoskeletal pain in the Nether- lands: prevalences, consequences and risk groups, the DM- C(3)-study. Pain. 2003;102(1):167-78.
  • 2. Samad NIA, Abdullah H, Moin S, Thamrin SBM, Hashim Z. Preva- lence of low back pain and its risk factors among school teac- hers. Am J Appl Sci. 2010;7(5):634-9.
  • 3. Cho CY, Hwang YS, Cherng RJ. Musculoskeletal symptoms and associated risk factors among office workers with high work load computer use. J Manipulative Physiol Ther. 2012;35(7):534- 40.
  • 4. Cardoso JP, De Queiroz Batista Ribeiro I, Maria de Araújo T, Carvalho FM, José Farias Borges dos Reis E. Prevalence of musculoskeletal pain among teachers. Rev Bras Epidemiol. 2009;12(4):604-14.
  • 5. Tsuboi H, Takeuchi K, Watanabe M, Hori R, Kobayashi F. Psycho- social factors related to low back pain among school personnel in Nagoya Japan. Ind Health. 2002;40(3):266-71.
  • 6. Gourmelen J, Chastang JF, Ozguler A, Lanoe JL, Ravaud JF, Lec- lerc A. Frequency of low back pain among men and women aged 30 to 64 years in France. Results of two national surveys. J Ann Readapt Med Phys. 2007;50(8):640-4.
  • 7. Schmidt CO, Raspe H, Pfingsten M, Hasenbring M, Basler HD, Eich W, et al. Back pain in the German adult population: preva- lence, severity, and sociodemographic correlates in a multiregi- onal survey. Spine. 2007;32(18):2005-11.
  • 8. Janwantanakul P, Sitthipornvorakul E, Paksaichol A. Risk factors for the onset of nonspecific low back pain in Office workers: a systematic review of prospective cohort studies. J Manipulative Physiol Ther. 2012;35(7):568-77.
  • 9. West DJ, Gardner D. Occupational injuries of physiotherapists in North and Central Queensland. Aust J Physiother. 2001;47(3):179-86.
  • 10. Külcü DG, Gülşen G, Altunok TÇ, Küçükoğlu D, Naderi S. Neck and Low Back Pain Among Dentistry Staff. Turk J Rheumatol. 2010;25(3):122-9.
  • 11. Çınar Medeni Ö, Elbasan B, Düzgün İ, Kılınç M. The factors that correlated with back pain in physiotherapists. Journal of Marmara University Institute of Health Sciences. 2015;5(4):215-9.
  • 12. Atlas AP, Bondoc RG, Garrovillas RA, Lo RD, Recinto J, Yu KJ. Pre- valence of low back pain among public high school teachers in the City of Manila. Philipp J Allied Health Sci. 2007;2(1):34-40.
  • 13. Ono Y, Shimaoka M, Hiruta S, Takeuchi Y. Low back pain among cooks in nursery schools. Ind Health. 1997;35(2):194-201.
  • 14. Chong EY, Chan AH. Subjective health complaints of teachers from primary and secondary schools in Hong Kong. Int J Occup Saf Ergon. 2010;16(1):23-39.
  • 15. Grant KA, Habes DJ, Tepper AL. Work activities and musculoskeletal complaints among preschool workers. Appl Ergon. 1995;26(6):405-10.
  • 16. Korkmaz NC, Cavlak U, Telci EA. Musculoskeletal pain, associated risk factors and coping strategies in school teachers. Sci Res Essay. 2011;6(3):649-57.
  • 17. Durmus D ve Ilhanli I. Are there work-related musculoskeletal problems among teachers in Samsun, Turkey?. Journal of back and musculoskeletal rehabilitation. 2012;25(1):5-12.
  • 18. Başkurt F, Başkurt Z, Gelecek N. Prevalence of self-reported musculoskeletal symptoms in teachers. SDÜ Sağlık Bilimleri Enstitüsü Dergisi. 2011;2(2):58-64.
  • Kopec JA, Esdaile JM, Abrahamowicz M, Abenhaim L, Wood DS, Lamping DL, et al. The Quebec Back Pain Disability Scale. Measurement properties. Spine. 1995;20(3):341-52.
  • 20. Melikoglu MA, Kocabas H, Sezer I, Bilgilisoy M, Tuncer T. Validation of the Turkish version of the Quebec back pain disability scale for patients with low back pain. Spine. 2009;34(6):219-24. 21. de Bruijn I, Engels JA, van der Gulden JW. A simple method to evaluate the reliability of OWAS observations. Appl Ergon. 1998;29(4):281-3.
  • 21. de Bruijn I, Engels JA, van der Gulden JW. A simple method to evaluate the reliability of OWAS observations. Appl Ergon. 1998;29(4):281-3.
  • 22. Greene L, Goggins RW. Save Your Hands! The Complete Guide to Injury Prevention and Ergonomics for Manual Therapists. 2nd edition. Florida: Body of Work Books; 2008.
  • 23. Omokhodion F, Sanya A. Risk factors for low back pain among office workers in Ibadan Southwest Nigeria. Occup Med. 2003;53(4):287-9.
  • 24. Pope MH, Goh KL, Magnusson ML. Spine ergonomics. Annu Rev Biomed Eng. 2002;4(1):49-68.
  • 25. Ono Y, Imaeda T, Shimaoka M, Hiruta S, Hattori Y, Ando S, et al. Associations of length of employment and working conditions with neck, shoulder and arm pain among nursery school teachers. Industrial Health. 2002;40(2):149–58.
  • 26. Okuno M, Uketa S, Nakaseko M, Tokunaga R. Work and work load of nursing personnel in a nursery school and two institutions for handicapped children. Ind Health. 1997;35(2):202-11.
  • 27. Charlotte Leboeuf-Yde. Body weight and low back pain A systematic literature Review of 56 Journal Articles Reporting on 65 Epidemiologic Studies. Spine. 2000;25(2):226–37.
  • 28. Mirtz TA, Greene L. Is obesity a risk factor for low back pain? An example of using the evidence to answer a clinical question. Chiropr Osteopat. 2005;13(1):1-2.
  • 29. Heuch I, Hagen K, Heuch I, Nygaard Q and Zwart JA. The impact of body mass index on the prevalence of low back pain. Spine. 2010;35(7):764-8.