FACTORS PREDICTING BACK PAIN AND DISABILITY IN PATIENTS WITH NON–SPECIFIC LOW BACK PAIN
Back pain and disability in patients with non-specific low back pain are chronic health problems and this continues to increase among Thai population. The current study was based on a prospective observational design, the objective of which was to identify factors predicting back pain and disability in patients with non-specific low back pain.The samples were patients diagnosed with non–specific low back pain, who were treated in an outpatient department at Nakhon Phanom Hospital. The 95 patients were enrolled in the study between May and December 2019. Data were collected through questionnaires. The research instruments used included the low back pain scale and the disability low back pain form. Finally, data were analyzed using binary logistic regression analysis method.There were 95 patients in the present study. According to the study, the farmers were at risk of low back pain up to 0.25 times more than those of non-farmers (AOR = 0.25, 95%CI:0.07 – 0.96, p<0.05). The subjects with high disability were 4.32 times more likely to be at risk of low back pain than those with normal and low disability (AOR=4.32, 95%CI: 1.46-12.78, p< 0.05). In addition, gender, body mass index, history of back pain treatment, and duration of current episode were not found to influence lower back pain. Given factors influencing the disability, males were 3.37 times more likely to be at risk of disability than females (AOR = 3.37, 95%CI: 1.03 – 11.09, p<0.05) and (AOR=0.26 95%CI=0.07-0.99, p<0.05). The study also revealed that occupation, body mass index, duration of current episode, and history of back pain did not influence disability.
Rasmussen-Barr E, Campello M, Arvidsson I, et al. Factors predicting clinical outcome 12 and 36 months after an exercise intervention for recurrent and low-back pain. Disability & Rehabilitation 2012; 34(2): 136-144. doi:10.3109/09638288.2011.591886.
Dagenais S, Haldeman S. A systematic review of low back pain cost of illness studies in the United States and Internationally. The Spine Journal 2008; 8(1): 8-20.
Maher C, Underwood M, Buchbinder R. Non-specific low back pain. Lancet 2017; 389: 736-747.
Jirarattanapochai K. Spondylosis: Empirical evidence. Khon Kaen: Khon Kaen University Printing House. 2011.
Caple C, Ashley TJ, Pravikoff D. Low Back Pain: Rehabilitation :evidence based care sheet. Cinahl information systems, a division of EBSCO Information Services 2018. Available from: https://biblioteca.sagrado.edu/eds/detail?db=nup&an=T703695 (accessed 27 March 2020).
Froud R, Patterson S, Eldridge S, et al. Systematic review and meta-synthesis of the impact of low back pain on people’s lives. BMC Musculoskelet Disord 2014; 15(50): 1-14.
Hoffman BM, Papas RK, Chatkoff DK, et al. Meta-analysis of psychological interventions for chronic low back pain. Health Psychology 2007; 26(1): 1-9.
Karjalainen KA, Malmivaara A, van Tulder MW, et al. Multidisciplinary biopsychosocial rehabilitation for subacute low-back pain
Malaysian Journal of Public Health Medicine 2021, Vol. 21 (1): 53-60
among working age adults. CDSR 2008; 26(1): 1–9.
Walker BF, Muller R, Grant WD. Low back pain in Australian adults: the economic burden. Asia Pac J Public Health 2003; 15: 79-87.
Wieser S, Horisberger B, Schmidhauser S, et al. Cost of low back pain in Switzerland in 2005. Eur J Health Econ 2011; 12: 455-467.
Bozorgmehr A, Zahednejad S, Salehi R, et al. Relationships between muscular impairments, pain, and disability in patients with chronic nonspecific low back pain: a cross sectional study. J of Exerc Rehabil 2018; 14(6): 1041-1047.
Roland MO, Morris RW. A Study of the natural history of back pain: part i: development of a reliable and sensitive measure of disability in low-back pain. Spine 1983; 8(2): 141-144.
Jirarattanaphochai K, Jung S, Sumananont C, et al. Reliability of the roland – morris disability questionnaire (Thai version) for the evaluation of low back pain patients. J Med Assoc Thai 2005; 88(3): 407-411.
Salvetti MG, Pimenta CAM, Braga PE, et al. Disability related to chronic low back pain:
prevalence abd associated factors. Rev Esc Enferm USP 2012; 46: 16-23.
Jones GT, Johnson RE, Wiles NJ, et al. Predicting persistent disabling low back pain in general practice: a prospective cohort study. BJGP 2006; 56: 334–341.
Aungsirikul S, Pakdevong N, Binhosen V. Factors related to health promotion behaviors in patients with low back pain. The Journal of Faculty of Nursing Burapha University 2016; 24(1): 39-50.
Keawduangdee P, Siritaratiwat W, Boonprakob Y, et al. The prevalence and associated factors of working posture of low back pain in the textile occupation (fishing net) in Khon Kaen Province. Srinagarind Med J 2011; 26(4): 317-324.
Kasim K, Sadak A-AE, Hassan H, et al. Prognostic factors of short-term outcome of low back pain in patients attending health insurance clinics in Sharkia Governorate, Egypt. ISRN Public Health 2012. Doi: 10.5402/2012/294895.
Verkerk K, Luijsterburg PA, Miedema HS, et al. Prognostic factors for recovery in chronic nonspecific low back pain: a systematic review. Physical Therapy 2012; 92(9): 1093-
doi: 10.2522/ptj.20110388 .
Korovessis P, Repantis T, Baikousis A. Factors affecting low back pain in adolescents. J Spinal Disord Tech 2010; 23(8): 513-20. doi: 10.1097/BSD.0b013e3181bf99c6.
Sangsaikaew A, Korcharoenyos J, Donprapeng B, et al. The effects of promoting physical activity in daily life program on pain and disability in patients with non–specific low back pain. Songklanagarind Journal of Nursing 2019; 39(1): 1-13.