References
- Koes BW, van Tulder MW, Thomas S. Diagnosis and treatment of low back pain. BMJ 2006; 332: 1430-4. https://doi.org/10.1136/bmj.332.7555.1430
- Lambeek LC, Bosmans JE, Van Royen BJ, Van Tulder MW, Van Mechelen W, Anema JR. Effect of integrated care for sick listed patients with chronic low back pain: economic evaluation alongside a randomised controlled trial. BMJ 2010; 341: c6414. https://doi.org/10.1136/bmj.c6414
- Andersson GB. Epidemiological features of chronic low-back pain. Lancet 1999; 354: 581-5. https://doi.org/10.1016/S0140-6736(99)01312-4
- Swain MS, Henschke N, Kamper SJ, Gobina I, Ottova-Jordan V, Maher CG. An international survey of pain in adolescents. BMC Public Health 2014; 14: 447. https://doi.org/10.1186/1471-2458-14-447
- Deyo RA, Mirza SK, Martin BI. Back pain prevalence and visit rates: estimates from U.S. national surveys, 2002. Spine (Phila Pa 1976) 2006; 31: 2724-7. https://doi.org/10.1097/01.brs.0000244618.06877.cd
- Manchikanti L, Singh V, Falco FJ, Benyamin RM, Hirsch JA. Epidemiology of low back pain in adults. Neuromodulation 2014; 17 Suppl 2: 3-10. https://doi.org/10.1111/ner.12018
- Lee S, Nam CM, Yoon DH, Kim KN, Yi S, Shin DA, et al. Association between low-back pain and lumbar spine bone density: a population-based cross-sectional study. J Neurosurg Spine 2013; 19: 307-13. https://doi.org/10.3171/2013.5.SPINE12473
- Bae YH, Shin JS, Lee J, Kim MR, Park KB, Cho JH, et al. Association between Hypertension and the Prevalence of Low Back Pain and Osteoarthritis in Koreans: a cross-sectional study. PLoS One 2015; 10: e0138790. https://doi.org/10.1371/journal.pone.0138790
- Ozguler A, Leclerc A, Landre MF, Pietri-Taleb F, Niedhammer I. Individual and occupational determinants of low back pain according to various definitions of low back pain. J Epidemiol Community Health 2000; 54: 215-20. https://doi.org/10.1136/jech.54.3.215
- Jones GT, Macfarlane GJ. Epidemiology of low back pain in children and adolescents. Arch Dis Child 2005; 90: 312-6. https://doi.org/10.1136/adc.2004.056812
- Kamran M, Eeric T. Epidemiology and natural history of low back pain. Semin Spine Surg 2008; 20: 87-92. https://doi.org/10.1053/j.semss.2008.02.003
- Von Korff M. Studying the natural history of back pain. Spine (Phila Pa 1976) 1994; 19(18 Suppl): 2041S-6S. https://doi.org/10.1097/00007632-199409151-00005
- Marras WS, Ferguson SA, Burr D, Schabo P, Maronitis A. Low back pain recurrence in occupational environments. Spine (Phila Pa 1976) 2007; 32: 2387-97. https://doi.org/10.1097/BRS.0b013e3181557be9
- Stanton TR, Latimer J, Maher CG, Hancock M. Definitions of recurrence of an episode of low back pain: a systematic review. Spine (Phila Pa 1976) 2009; 34: E316-22. https://doi.org/10.1097/brs.0b013e318198d073
- Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015; 386: 743-800. https://doi.org/10.1016/S0140-6736(15)60692-4
- Kim YE, Park H, Jo MW, Oh IH, Go DS, Jung J, et al. Trends and patterns of burden of disease and injuries in Korea using disability-adjusted life years. J Korean Med Sci 2019; 34(Suppl 1): e75. https://doi.org/10.3346/jkms.2019.34.e75
- Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, et al. The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis 2014; 73: 968-74. https://doi.org/10.1136/annrheumdis-2013-204428
- Jensen MC, Brant-Zawadzki MN, Obuchowski N, Modic MT, Malkasian D, Ross JS. Magnetic resonance imaging of the lumbar spine in people without back pain. N Engl J Med 1994; 331: 69-73. https://doi.org/10.1056/NEJM199407143310201
- Kim HS, Jung KH, Park IH, Ryu JK, Sun KJ, Lim KJ, et al. Diagnosis and treatment of sacral asymlocation in back pain patients: clinical application of prolotherapy. Korean J Pain 2007; 20: 130-7. https://doi.org/10.3344/kjp.2007.20.2.130
- Chou L, Brady SR, Urquhart DM, Teichtahl AJ, Cicuttini FM, Pasco JA, et al. The association between obesity and low back pain and disability is affected by mood disorders: a population-based, cross-sectional study of men. Medicine (Baltimore) 2016; 95: e3367. https://doi.org/10.1097/md.0000000000003367
- Fillingim RB, King CD, Ribeiro-Dasilva MC, Rahim-Williams B, Riley JL 3rd. Sex, gender, and pain: a review of recent clinical and experimental findings. J Pain 2009; 10: 447-85. https://doi.org/10.1016/j.jpain.2008.12.001
- Shiri R, Karppinen J, Leino-Arjas P, Solovieva S, Varonen H, Kalso E, et al. Cardiovascular and lifestyle risk factors in lumbar radicular pain or clinically defined sciatica: a systematic review. Eur Spine J 2007; 16: 2043-54. https://doi.org/10.1007/s00586-007-0362-6
- Paanalahti K, Holm LW, Magnusson C, Carroll L, Nordin M, Skillgate E. The sex-specific interrelationship between spinal pain and psychological distress across time in the general population. Results from the Stockholm public health study. Spine J 2014; 14: 1928-35. https://doi.org/10.1016/j.spinee.2013.11.017
- Pinheiro MB, Ferreira ML, Refshauge K, Ordonana JR, Machado GC, Prado LR, et al. Symptoms of depression and risk of new episodes of low back pain: a systematic review and meta-analysis. Arthritis Care Res (Hoboken) 2015; 67: 1591-603. https://doi.org/10.1002/acr.22619
- Suman A, Bostick GP, Schaafsma FG, Anema JR, Gross DP. Associations between measures of socio-economic status, beliefs about back pain, and exposure to a mass media campaign to improve back beliefs. BMC Public Health 2017; 17: 504. https://doi.org/10.1186/s12889-017-4387-4
- Heneweer H, Picavet HS, Staes F, Kiers H, Vanhees L. Physical fitness, rather than self-reported physical activities, is more strongly associated with low back pain: evidence from a working population. Eur Spine J 2012; 21: 1265-72. https://doi.org/10.1007/s00586-011-2097-7
- Fernandez M, Ordonana JR, Hartvigsen J, Ferreira ML, Refshauge KM, Sanchez-Romera JF, et al. Is chronic low back pain associated with the prevalence of coronary heart disease when genetic susceptibility is considered? A co-twin control study of Spanish twins. PLoS One 2016; 11: e0155194. https://doi.org/10.1371/journal.pone.0155194
- Leino-Arjas P, Kaila-Kangas L, Solovieva S, Riihimaki H, Kirjonen J, Reunanen A. Serum lipids and low back pain: an association? A follow-up study of a working population sample. Spine (Phila Pa 1976) 2006; 31: 1032-7. https://doi.org/10.1097/01.brs.0000214889.31505.08
- Hassoon A, Bydon M, Kerezoudis P, Maloney PR, Rinaldo L, Yeh HC. Chronic low-back pain in adult with diabetes: NHANES 2009-2010. J Diabetes Complications 2017; 31: 38-42. https://doi.org/10.1016/j.jdiacomp.2016.10.025
- Hancock MJ, Maher CM, Petocz P, Lin CW, Steffens D, Luque-Suarez A, et al. Risk factors for a recurrence of low back pain. Spine J 2015; 15: 2360-8. https://doi.org/10.1016/j.spinee.2015.07.007
- Nolet PS, Kristman VL, Cote P, Carroll LJ, Cassidy JD. The association between a lifetime history of low back injury in a motor vehicle collision and future low back pain: a population-based cohort study. Eur Spine J 2018; 27: 136-44. https://doi.org/10.1007/s00586-017-5090-y
- Machado GC, Maher CG, Ferreira PH, Latimer J, Koes BW, Steffens D, et al. Can recurrence after an acute episode of low back pain be predicted? Phys Ther 2017; 97: 889-95. https://doi.org/10.1093/ptj/pzx067
- Manabe T, Takasugi S, Iwamoto Y. Positive relationship between bone mineral density and low back pain in middleaged women. Eur Spine J 2003; 12: 596-601. https://doi.org/10.1007/s00586-003-0585-0
- Visuri T, Ulaska J, Eskelin M, Pulkkinen P. Narrowing of lumbar spinal canal predicts chronic low back pain more accurately than intervertebral disc degeneration: a magnetic resonance imaging study in young Finnish male conscripts. Mil Med 2005; 170: 926-30. https://doi.org/10.7205/MILMED.170.11.926
- McIntosh G, Steenstra I, Hogg-Johnson S, Carter T, Hall H. Lack of prognostic model validation in low back pain prediction studies: a systematic review. Clin J Pain 2018; 34: 748-54. https://doi.org/10.1097/AJP.0000000000000591
- Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med 2015; 162: 55-63. https://doi.org/10.7326/M14-0697
- Song SO, Jung CH, Song YD, Park CY, Kwon HS, Cha BS, et al. Background and data configuration process of a nationwide population-based study using the Korean National Health Insurance System. Diabetes Metab J 2014; 38: 395-403. https://doi.org/10.4093/dmj.2014.38.5.395
- Lee J, Lee JS, Park SH, Shin SA, Kim K. Cohort profile: the National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea. Int J Epidemiol 2017; 46: e15. https://doi.org/10.1093/ije/dyv319
- Dobbin KK, Simon RM. Optimally splitting cases for training and testing high dimensional classifiers. BMC Med Genomics 2011; 4: 31. https://doi.org/10.1186/1755-8794-4-31
- MacGregor AJ, Dougherty AL, Mayo JA, Rauh MJ, Galarneau MR. Occupational correlates of low back pain among U.S. Marines following combat deployment. Mil Med 2012; 177: 845-9. https://doi.org/10.7205/MILMED-D-12-00021
- Joud A, Petersson IF, Englund M. Low back pain: epidemiology of consultations. Arthritis Care Res (Hoboken) 2012; 64: 1084-8. https://doi.org/10.1002/acr.21642
- Bosman LC, Dijkstra L, Oling CI, Heymans MW, Twisk JW, Roelen CA. Prediction models to identify workers at risk of sick leave due to low-back pain in the Dutch construction industry. Scand J Work Environ Health 2018; 44: 156-62.
- D'Agostino RB, Nam BH. Evaluation of the performance of survival analysis models: discrimination and calibration measures. Handb Stat 2003; 23: 1-25. https://doi.org/10.1016/S0169-7161(03)23001-7
- Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat Med 2004; 23: 2109-23. https://doi.org/10.1002/sim.1802
- Ha IH, Lee J, Kim MR, Kim H, Shin JS. The association between the history of cardiovascular diseases and chronic low back pain in South Koreans: a cross-sectional study. PLoS One 2014; 9: e93671. https://doi.org/10.1371/journal.pone.0093671
- Hippisley-Cox J, Coupland C. Development and validation of QMortality risk prediction algorithm to estimate short term risk of death and assess frailty: cohort study. BMJ 2017; 358: j4208. https://doi.org/10.1136/bmj.j4208
- Traeger AC, Henschke N, Hubscher M, Williams CM, Kamper SJ, Maher CG, et al. Estimating the risk of chronic pain: development and validation of a prognostic model (PICKUP) for patients with acute low back pain. PLoS Med 2016; 13: e1002019. https://doi.org/10.1371/journal.pmed.1002019
- Panken G, Hoekstra T, Verhagen A, van Tulder M, Twisk J, Heymans MW. Predicting chronic low-back pain based on pain trajectories in patients in an occupational setting: an exploratory analysis. Scand J Work Environ Health 2016; 42: 520-7. https://doi.org/10.5271/sjweh.3584
- Park BJ, Sung J, Park K, Seo SW, Kim SH. Studying on diagnosis accuracy for health insurance claims data in Korea. Seoul, Seoul National University. 2003, pp 17-29.
- Ferreira ML, Machado G, Latimer J, Maher C, Ferreira PH, Smeets RJ. Factors defining care-seeking in low back pain--a meta-analysis of population based surveys. Eur J Pain 2010; 14: 747.e1-7. https://doi.org/10.1016/j.ejpain.2009.11.005
Cited by
- Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis vol.22, pp.11, 2020, https://doi.org/10.2196/23943
- Predicting Physician Consultations for Low Back Pain Using Claims Data and Population-Based Cohort Data-An Interpretable Machine Learning Approach vol.18, pp.22, 2020, https://doi.org/10.3390/ijerph182212013