Journal of Rehabilitation Medicine 51-10 | Page 49

practice: content, patient characteristics and reference
data. Eur J Pain 2017; 21: 434–444.
17. Rainville J, Ahern, DK, Phalen L. Altering beliefs about
pain and impairment in a functionally oriented treatment
program for chronic low back pain. Clin J Pain 1993; 9:
196–201.
18. Leventhal H, Phillips LA, Burns E. The Common-Sense
Model of Self-Regulation (CSM): a dynamic framework
for understanding illness self-management. J Behav Med
2016; 39: 935–946.
19. de Raaij EJ, Schröder C, Maissan FJ, Pool JJ, Wittink H.
Cross-cultural adaptation and measurement properties of
the Brief Illness Perception Questionnaire – Dutch Langu-
age Version. Man Ther 2012; 17: 330–335.
20. Cooper a F, Weinman J, Hankins M, Jackson G, Horne R.
Assessing patients’ beliefs about cardiac rehabilitation as
a basis for predicting attendance after acute myocardial
infarction. Heart 2007; 93: 53–58.
21. Wittink H, Oosterhaven J, Dekker J, Kruitwagen C, Devillé
W, Ellens ESC. Dutch translation and adaptation of the
Treatment Beliefs Questionnaire for chronic pain rehabili-
tation. Pain Res Manag 2019; 149: 962–975.
22. Nicholas MK. The pain self-efficacy questionnaire: taking
pain into account. Eur J Pain 2007; 11: 153–163.
23. Van Der Maas LCC, De Vet HCW, Köke A, Bosscher RJ,
Peters ML. Psychometric properties of the Pain Self-
Efficacy Questionnaire (PSEQ): validation, prediction, and
discrimination quality of the Dutch version. Eur J Psychol
Assess 2012; 28: 68–75.
24. Spinhoven Ph, Ormel J, Kempen GJM, Speckens AEM, Van
Hermert AM. A validation study of the Hospital Anxiety
and Depression Scale (HADS) in different groups of Dutch
subjects. Psychol Med 1997; 27: 363–370.
25. Zigmond AS, Snaith RP. The Hospital Anxiety and Depres-
sion Scale. Acta Psychiatr Scand 1983; 67: 361–370.
26. Sullivan MJL, Bishop SR, Pivik J. The Pain Catastrophizing
Scale: development and validation. Psychol Assessment
Chaves Brown 1995; 7: 524–532.
27. Van Damme S. Pain Catastrophizing Scale – Dutch Version
(PCS-DV). Ghent: University of Ghent; 2002. [Cited 2012
Dec 1]. Available from: http://www.bsw.ugent.be/VVGP/
fichePCS.pdf.
28. Field A. Discovering statistics using IBM SPSS statistics.
London: Sage; 2013.
29. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstem AR.
A simulation study of the number of events per variable
in logistic regression analysis. J Clin Epidemiol 1996; 49:
1373–1379.
769
30. Van Oort L, Van Den Berg T, Koes BW, De Vet RHCW, Anema
HJR, Heymans MW, et al. Preliminary state of development
of prediction models for primary care physical therapy: a
systematic review. J Clin Epidemiol 2012; 65: 1257–1266.
31. Aujla N, Walker M, Sprigg N, Abrams K, Massey A, Vedhara
K. Can illness beliefs, from the common-sense model,
prospectively predict adherence to self-management be-
haviours? A systematic review and meta-analysis. Psychol
Health 2016; 31: 931–958.
32. Barrett M, Chua W, Crits-Christoph, Gibbons M, Thomp-
son D. Early withdrawal from mental health treatment:
implications for psychotherapy practice. Psychotherapy
2008; 45: 247–267.
33. Taylor S, Abramowitz J, McKay D. Non-adherence and non-
response in the treatment of anxiety disorders. J Anxiety
Disord 2012; 26: 583–589.
34. Jackson T, Wang Y, Wang Y, Fan H. Self-efficacy and chro-
nic pain outcomes: a meta-analytic review. J Pain 2014;
15: 800–814.
35. Howard KJ, Mayer TG, Theodore BR, Gatchel RJ. Patients
with chronic disabling occupational musculoskeletal disor-
der failing to complete functional restoration: analysis of
treatment-resistant personality characteristics. Arch Phys
Med Rehabil 2009; 90: 778–785.
36. Campbell P, Bishop A, Dunn KM, Main CJ, Thomas E, Foster
NE. Conceptual overlap of psychological constructs in low
back pain. Pain 2013; 154: 1783–1791.
37. Knaster P, Estlander AM, Karlsson H, Kaprio J, Kalso E.
Diagnosing depression in chronic pain patients: DSM-IV
major depressive disorder vs. Beck Depression Inventory
(BDI). PLoS One 2016; 11: 1–9.
38. Wertli MM, Burgstaller JM, Weiser S, Steurer J, Kofmehl R,
Held U. Influence of catastrophizing on treatment outcome
in patients with nonspecific low back pain: a systematic
review. Spine (Phila Pa 1976) 2014; 39: 263–273.
39. Bendix AF, Bendix T, Hæstrup C. Can it be predicted which
patients with chronic low back pain should be offered
tertiary rehabilitation in a functional restoration program?
A search for demographic, socioeconomic, and physical
predictors. Spine (Phila Pa 1976) 1998; 23: 1775–1784.
40. Collins, GS, Reitsma, JB, Altman, DG, Moons K. Reporting
guideline for prediction model studies: TRIPOD Transparent
Reporting of a multivariable prediction model for Individual
Prognosis or Diagnosis. Ann Intern Med 2015; 162: 55–63.
41. Dima A. Living with chronic pain – a longitudinal study of
the interrelations between acceptance, emotions, illness
perceptions and health status. Edinburgh: Social Science,
University of Edinburgh; 2010.
Pain catastrophizing and dropout in chronic pain management
J Rehabil Med 51, 2019