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Fear-avoidance beliefs are independently associated with the prevalence of chronic pain in Japanese workers

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Abstract

Purpose

Pain is a global public health problem with implications for both personal and social heath. Fear-avoidance beliefs (FABs) have been demonstrated to negatively impact and prolong pain in many Western countries, but little is known about the association between FABs and chronic pain (CP) in Asian countries, including Japan. We examined the relationship between FABs and CP in Japanese white-collar workers, a growing population with a high prevalence of CP.

Methods

Questionnaires and company records were used to gather data from 433 Japanese white-collar workers. Data were related to experience of pain, participant sociodemographic/health/lifestyle characteristics, fear-avoidance beliefs [Tampa Scale for Kinesiophobia (TSK)], work-related psychosocial factors (Brief Job Stress Questionnaire), and depressive illness [Psychological Distress Scale (K6)]. Analysis of covariance and multilevel logistic regression modeling were used to analyze associations between the data while controlling for factors known to influence CP prevalence.

Results

Prevalence rate of CP was 11.1% (48 of 433 persons). Adjusted odds ratios for participants with CP significantly increased in participants with high TSK scores, even after adjusting for factors known to influence CP prevalence.

Conclusion

We found a significant association between high TSK scores and CP in Japanese white-collar workers when controlling for other known factors that influence CP such as work-related psychosocial characteristics and depressive conditions. This finding suggests that FABs are independently associated with prevalence of CP.

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References

  1. Rice AS, Smith BH, Blyth FM. Pain and the global burden of disease. Pain. 2016;157:791–6.

    Article  PubMed  Google Scholar 

  2. Goldberg DS, McGee SJ. Pain as a global public health priority. BMC Public Health. 2011;11:770.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Gaskin DJ, Richard P. The economic costs of pain in the United States. J Pain. 2012;13:715–24.

    Article  PubMed  Google Scholar 

  4. Matsudaira K, Kunoki J, Yamazaki R, Yamada K, Takagi A. Pain associated cross-sectional epidemiological (PACE) survey 2009 (in Japanese). Pain Clin. 2011;32:1345–56.

    Google Scholar 

  5. Yabuki S, Ushida T, Takeshita K, Saura R, Ogawa S, Katsumata A, Hatanaka S. A nationwide survey of chronic pain sufferers in Japan (in Japanese). Clin Orthop. 2012;47:127–34.

    Google Scholar 

  6. Nakamura M, Nishiwaki Y, Ushida T, Toyama Y. Prevalence and characteristics of chronic musculoskeletal pain in Japan. J Orthop Sci. 2011;16:424–32.

    Article  PubMed  PubMed Central  Google Scholar 

  7. McDonald M, DiBonaventura Md, Ullman S. Musculoskeletal pain in the workforce: the effects of back, arthritis, and fibromyalgia pain on quality of life and work productivity. J Occup Environ Med. 2011;53:765–70.

    Article  PubMed  Google Scholar 

  8. Takura T, Ushida T, Kanchiku T, Ebata N, Fujii K, DiBonaventura Md, Taguchi T. The societal burden of chronic pain in Japan: an internet survey. J Orthop Sci. 2015;20:750–60.

    Article  PubMed  Google Scholar 

  9. Ministry of Internal Affairs and Communications in Japan. Labour force survey (2015 yearly average results). 2016.

  10. Asmundson GJG, Vlaeyen JWS, Crombez G. Understanding and treating fear of pain. New York: Oxford University Press; 2004.

    Google Scholar 

  11. Leeuw M, Goossens ME, Linton SJ, Crombez G, Boersma K, Vlaeyen JW. The fear-avoidance model of musculoskeletal pain: current state of scientific evidence. J Behav Med. 2007;30:77–94.

    Article  PubMed  Google Scholar 

  12. Vowles KE, Gross RT. Work-related beliefs about injury and physical capability for work in individuals with chronic pain. Pain. 2003;101:291–8.

    Article  PubMed  Google Scholar 

  13. Fritz JM, George SZ, Delitto A. The role of fear-avoidance beliefs in acute low back pain: relationships with current and future disability and work status. Pain. 2001;94:7–15.

    Article  CAS  PubMed  Google Scholar 

  14. Chou R, Shekelle P. Will this patient develop persistent disabling low back pain? JAMA. 2010;303:1295–302.

    Article  CAS  PubMed  Google Scholar 

  15. Portenoy RK, Ugarte C, Fuller I, Haas G. Population-based survey of pain in the United States: differences among white, African American, and Hispanic subjects. J Pain. 2004;5:317–28.

    Article  PubMed  Google Scholar 

  16. Takahashi M, Matsudaira K, Shimazu A. Disabling low back pain associated with night shift duration: sleep problems as a potentiator. Am J Ind Med. 2015;58:1300–10.

    Article  PubMed  Google Scholar 

  17. Dureja GP, Jain PN, Shetty N, Mandal SP, Prabhoo R, Joshi M, Goswami S, Natarajan KB, Iyer R, Tanna DD, Ghosh P, Saxena A, Kadhe G, Phansalkar AA. Prevalence of chronic pain, impact on daily life, and treatment practices in India. Pain Pract. 2014;14:51–62.

    Article  Google Scholar 

  18. Kikuchi N, Matsudaira K, Sawada T, Oka H. Psychometric properties of the Japanese version of the Tampa Scale for Kinesiophobia (TSK-J) in patients with whiplash neck injury pain and/or low back pain. J Orthop Sci. 2015;20:985–92.

    Article  PubMed  Google Scholar 

  19. Matsudaira K, Inuzuka K, Kikuchi N, Sakae C, Arisaka M, Isomura T. Development of a Japanese version of the Tampa Scale for Kinesiophobia (TSK-J): translation and linguistic validation (in Japanese). Seikei Geka (Orthop Surg). 2013;48:13–9.

    Google Scholar 

  20. Woby SR, Roach NK, Urmston M, Watson PJ. Psychometric properties of the TSK-11: a shortened version of the Tampa Scale for Kinesiophobia. Pain. 2005;117:137–44.

    Article  PubMed  Google Scholar 

  21. Koho P, Aho S, Kautiainen H, Pohjolainen T, Hurri H. Test-retest reliability and comparability of paper and computer questionnaires for the finnish version of the Tampa Scale of Kinesiophobia. Physiotherapy. 2014;100:356–62.

    Article  CAS  PubMed  Google Scholar 

  22. Rusu AC, Kreddig N, Hallner D, Hülsebusch J, Hasenbring MI. Fear of movement/(re)injury in low back pain: confirmatory validation of a German version of the Tampa Scale for Kinesiophobia. BMC Musculoskelet Disord. 2014;19:280.

    Article  Google Scholar 

  23. Swinkels-Meewisse EJ, Swinkels RA, Verbeek AL, Vlaeyen JW, Oostendorp RA. Psychometric properties of the Tampa Scale for Kinesiophobia and the fear-avoidance beliefs questionnaire in acute low back pain. Man Ther. 2003;8:29–36.

    Article  CAS  PubMed  Google Scholar 

  24. Bunketorp L, Carlsson J, Kowalski J, Stener-Victorin E. Evaluating the reliability of multi-item scales: a non-parametric approach to the ordered categorical structure of data collected with the Swedish version of the Tampa Scale for Kinesiophobia and the Self-Efficacy Scale. J Rehabil Med. 2005;37:330–4.

    Article  PubMed  Google Scholar 

  25. Mintken PE, Cleland JA, Whitman JM, George SZ. Psychometric properties of the fear-avoidance beliefs questionnaire and Tampa Scale of Kinesiophobia in patients with shoulder pain. Arch Phys Med Rehabil. 2010;91:1128–36.

    Article  PubMed  Google Scholar 

  26. Visscher CM, Ohrbach R, van Wijk AJ, Wilkosz M, Naeije M. The Tampa Scale for Kinesiophobia for temporomandibular disorders (TSK-TMD). Pain. 2010;150:492–500.

    Article  PubMed  Google Scholar 

  27. Haugen AJ, Grøvle L, Keller A, Grotle M. Cross-cultural adaptation and validation of the Norwegian version of the Tampa Scale for Kinesiophobia. Spine (Phila Pa 1976). 2008;33:E595–601.

    Article  Google Scholar 

  28. Burwinkle T, Robinson JP, Turk DC. Fear of movement: factor structure of the Tampa Scale of Kinesiophobia in patients with bromyalgia syndrome. J Pain. 2005;6:384–91.

    Article  PubMed  Google Scholar 

  29. Shimomitsu T, Haratani T, Nakamura K, Kawakami N, Hayashi T, Hiro H, Arai M, Miyazaki S, Furuki K, Ohya Y, Odagiri Y. Final development of the Brief Job Stress Questionnaire mainly used for assessment of the individuals (in Japanese). In: Kato M, editor. The Ministry of Labor sponsored grant for the prevention of work-related illness, FY 1999 report. Tokyo: Tokyo Medical University; 2000. p. 126–64.

    Google Scholar 

  30. Furukawa TA, Kawakami N, Saitoh M, Ono Y, Nakane Y, Nakamura Y, Tachimori H, Iwata N, Uda H, Nakane H, Watanabe M, Naganuma Y, Hata Y, Kobayashi M, Miyake Y, Takeshima T, Kikkawa T. The performance of the Japanese version of the K6 and K10 in the World Mental Health Survey Japan. Int J Methods Psychiatr Res. 2008;17:152–8.

    Article  PubMed  Google Scholar 

  31. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, Walters EE, Zaslavsky AM. Short screening scales to monitor population prevalences and trends in nonspecific psychological distress. Psychol Med. 2002;32:959–76.

    Article  CAS  PubMed  Google Scholar 

  32. den Boer JJ, Oostendorp RA, Beems T, Munneke M, Oerlemans M, Evers AW. A systematic review of bio-psychosocial risk factors for an unfavourable outcome after lumbar disc surgery. Eur Spine J. 2006;15:527–36.

    Article  Google Scholar 

  33. Landmark T, Romundstad PR, Borchgrevink PC, Kaasa S, Dale O. Longitudinal associations between exercise and pain in the general population–the HUNT pain study. PLoS One. 2013;8:e65279.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Karasek RA. Job demands, job decision latitude, and mental strain: implications for job design. Adm Sci Quart. 1979;24:285–308.

    Article  Google Scholar 

  35. Johnson JV, Hall EM. Job strain, work place social support, and cardiovascular disease: a cross-sectional study of a random sample of the Swedish working population. In: Steptoe A, Wardle J, editors. Psychosocial processes and health: a reader. New York: Cambridge University Press; 1994. p. 25–42.

    Chapter  Google Scholar 

  36. Sousa-Poza A, Sousa-Poza AA. Well-being at work: a cross-national analysis of the levels and determinants of job satisfaction. J Socio Econ. 2000;29:517–38.

    Article  Google Scholar 

  37. Calnan M, Wainwright D, Almond S. Job strain, effort-reward imbalance and mental distress: a study of occupations in general medical practice. Work Stress. 2000;14:297–311.

    Article  Google Scholar 

  38. Matsudaira K, Shimazu A, Fujii T, Kubota K, Sawada T, Kikuchi N, Takahashi M. Workaholism as a risk factor for depressive mood, disabling back pain, and sickness absence. PLoS One. 2013;8:e75140. doi:10.1371/journal.pone.0075140.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Fujii T, Matsudaira K, Yoshimura N, Hirai M, Tanaka S. Associations between neck and shoulder discomfort (Katakori) and job demand, job control, and worksite support. Mod Rheumatol. 2013;23:1198–204.

    Article  PubMed  Google Scholar 

  40. Yamada K, Matsudaira K, Imano H, Kitamura A, Iso H. Influence of work-related psychosocial factors on the prevalence of chronic pain and quality of life in patients with chronic pain. BMJ Open. 2016;6:e010356. doi:10.1136/bmjopen-2015-010356.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Boakye PA, Olechowski C, Rashiq S, Verrier MJ, Kerr B, Witmans M, Baker G, Joyce A, Dick BD. A critical review of neurobiological factors involved in the interactions between chronic pain, depression, and sleep disruption. Clin J Pain. 2016;32:327–36.

    Article  PubMed  Google Scholar 

  42. Bijl D, van Marwijk HWJ, de Haan M, van Tilburg W, Beekman AJTF. Effectiveness of disease management programmes for recognition, diagnosis and treatment of depression in primary care. a review. Eur J Gen Pract. 2004;10:6–12.

    Article  PubMed  Google Scholar 

  43. Wertli MM, Rasmussen-Barr E, Weiser S, Bachmann LM, Brunner F. The role of fear avoidance beliefs as a prognostic factor for outcome in patients with nonspecific low back pain: a systematic review. Spine J. 2014;14:816–36.

    Article  PubMed  Google Scholar 

  44. Wertli MM, Rasmussen-Barr E, Held U, Weiser S, Bachmann LM, Brunner F. Fear-avoidance beliefs: a moderator of treatment efficacy in patients with low back pain: a systematic review. Spine J. 2014;14:2658–78.

    Article  PubMed  Google Scholar 

  45. Kendall N, Burton K, Main C, Watson P. Tackling musculoskeletal problems: a guide for clinic and workplace. Identifying obstacles using the psychosocial flags framework. London: The Stationery Office; 2009. ISBN: 9780117037892

    Google Scholar 

  46. Cohen SP, Mao J. Neuropathic pain: mechanisms and their clinical implications. BMJ. 2014;348:f7656. doi:10.1136/bmj.f7656.

    Article  PubMed  Google Scholar 

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Acknowledgements

This research is partially supported by a grant for The Research Project on Elucidation of Chronic Pain from Japan Agency for Medical Research and Development, AMED (16ek0610004h0003). Kenta Wakaizumi is supported as a research assistant in part by a Grant-in-Aid for the Program for Leading Graduate School for “Science for Development of Super Mature Society” from the Ministry of Education, Culture, Sport, Science, and Technology in Japan.

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Correspondence to Kenta Wakaizumi.

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Wakaizumi, K., Yamada, K., Oka, H. et al. Fear-avoidance beliefs are independently associated with the prevalence of chronic pain in Japanese workers. J Anesth 31, 255–262 (2017). https://doi.org/10.1007/s00540-016-2303-1

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