Testing integrated behavioural and biomedical models of activity and activity limitations in a population-based sample

References

• Salaffi F, Cavalieri F, Nolli M, Ferraccioli G. Analysis of disability in knee osteoarthritis. Relationship with age and psychological variables but not with radiographic score. J Rheumatol 1991;18:1581–1586.
   PubMed Web of Science ®Google Scholar
• Summers MN, Haley WE, Reveille JD, Alarcón GS. Radiographic assessment and psychologic variables as predictors of pain and functional impairment in osteoarthritis of the knee or hip. Arthritis Rheum 1988;31:204–209.
   PubMed Web of Science ®Google Scholar
• Dixon D, Johnston M, Rowley D, Pollard B. Using the ICF and psychological models of behavior to predict mobility limitations. Rehabil Psychol 2008;53:191–200.
   Web of Science ®Google Scholar
• Fisher K, Johnston M. Emotional distress as a mediator of the relationship between pain and disability: An experimental study. British Journal of Health Psychology 1996;1:207–218.
   Web of Science ®Google Scholar
• Johnston M. Mood in Chronic Disease: Questioning the Answers. Curr Psychol 1999;18(1):71–87.
   Web of Science ®Google Scholar
• WHO. International classification of impairments, disabilities and handicaps. Geneva: World Health Organisation; 1980.
   Google Scholar
• Johnston M. Current trends. The Psychologist 1994;7(3):114–118.
   Google Scholar
• Johnston M. Models of disability. Physiother Theory Pract 1996;12:131–41.
   Google Scholar
• Ajzen I. The theory of planned behavior. Organ Behav Hum Dec 1991;50(2):179–211.
   Web of Science ®Google Scholar
• Bandura A. Self-Efficacy: The exercise of control. New York: W.H.Freeman; 1997.
   Google Scholar
• WHO. Geneva: World Health Organisation; 2001.
   Google Scholar
• Finger ME, Cieza A, Stoll J, Stucki G, Huber EO. Identification of intervention categories for physical therapy, based on the international classification of functioning, disability and health: A delphi exercise. Phys Ther 2006;86(9):1203–1220.
   PubMed Web of Science ®Google Scholar
• Steiner WA, Ryser L, Huber E, Uebelhart D, Aeschlimann A, Stucki G. Use of the icf model as a clinical problem-solving tool in physical therapy and rehabilitation medicine. Phys Ther 2002;82(11):1098–1107.
   PubMed Web of Science ®Google Scholar
• Johnston M, Bonetti D, Pollard B. Disability as behaviour: Models of measurement and explanation. Psychology at the Turn of the Millennium. Suffolk: Psychology Press, 2002:319–333.
   Google Scholar
• Orbell S, Johnston M, Rowley D, Davey P, Espley A. Self-efficacy and goal importance in the prediction of physical disability in people following hospitalization: A prospective study. Brit J Health Psychol 2001;6:25–40.
   PubMed Web of Science ®Google Scholar
• Lorig KR, Ritter P, Stewart AL, Sobel DS, Brown BW Jr, Bandura A, Gonzalez VM, et al. Chronic disease self-management program: 2-year health status and health care utilization outcomes. Med Care 2001;39:1217–1223.
   PubMed Web of Science ®Google Scholar
• Cieza A, Ewert T, Ustün TB, Chatterji S, Kostanjsek N, Stucki G. Development of ICF Core Sets for patients with chronic conditions. J Rehabil Med 2004;36:9–11.
   Web of Science ®Google Scholar
• Elliott AM, Smith BH, Penny KI, Smith WC, Chambers WA. The epidemiology of chronic pain in the community. Lancet 1999;354:1248–1252.
   PubMed Web of Science ®Google Scholar
• Verhaak PF, Kerssens JJ, Dekker J, Sorbi MJ, Bensing JM. Prevalence of chronic benign pain disorder among adults: A review of the literature. Pain 1998;77:231–239.
   PubMed Web of Science ®Google Scholar
• Penny KI, Purves AM, Smith BH, Chambers WA, Smith WC. Relationship between the chronic pain grade and measures of physical, social and psychological well-being. Pain 1999;79:275–279.
   PubMed Web of Science ®Google Scholar
• Smith BH, Elliott AM, Chambers WA, Smith WC, Hannaford PC, Penny K. The impact of chronic pain in the community. Fam Pract 2001;18:292–299.
   PubMed Web of Science ®Google Scholar
• Ware JE, Snow KK, Kosinski M, Gandek B, editors. SF 36 health survey. Manual and interpretation guide. Boston, MA: The Health Institute; 1993.
   Google Scholar
• Von Korff M, Dworkin SF, Le Resche L. Graded chronic pain status: An epidemiologic evaluation. Pain 1990;40:279–291.
   PubMed Web of Science ®Google Scholar
• Dixon D, Pollard B, Johnston M. What does the chronic pain grade questionnaire measure? Pain 2007;130:249–253.
   PubMed Web of Science ®Google Scholar
• Pollard B, Johnston M, Dieppe P. What do osteoarthritis health outcome instruments measure? Impairment, activity limitation, or participation restriction? J Rheumatol 2006;33:757–763.
   PubMed Web of Science ®Google Scholar
• Bandura A. Guide for constructing self-efficacy scales. Available from: www.emory.edu/Education/mfp/effguide.pdf, 2001.
   Google Scholar
• International Association for the Study of Pain. Classification of chronic pain. Pain 1986;suppl 3:S1–S226.
   Google Scholar
• Ajzen I. Constructing a TPB questionnaire. Available from: http://www.people.umass.edu/aizen/pdf/tpb.measurement.pdf, 2002.
   Google Scholar
• Francis JJ, Eccles MP, Johnston M, Walker A, Grimshaw J, Foy R, et al. Constructing questionnaires based on The Theory of Planned Behaviour: A Manual for Health Services Researchers; 2004.
   Google Scholar
• Bentler PM, editor. EQS structural equations programme manual. Encino, CA: Multivariate Software Inc.; 2004.
   Google Scholar
• Satorra A, Bentler PM. Corrections to test statistics and standard errors in covariance structure analysis. Latent variable Analysis in Developmental Research. London: Sage, 1994:285–305.
   Google Scholar
• Browne MW, Cudeck R. Alternative ways of assessing model fit. In: Bollen KA, Long JS, editors. Testing Structural Equation Models. Beverly Hills, C.A.: Sage, 1993:136–162.
   Google Scholar
• Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struc Equ Model 1999;6(1):1–55.
   Web of Science ®Google Scholar
• Armitage CJ, Conner M. Efficacy of the Theory of Planned Behaviour: A meta-analytic review. Br J Soc Psychol 2001;40:471–499.
   PubMed Web of Science ®Google Scholar
• Marks R, Allegrante JP, Lorig K. A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: Implications for health education practice (part II). Health Promot Pract 2005;6:148–156.
   PubMedGoogle Scholar
• Schroder C, Johnston M, Morrison V, Teunissen L, Notermans N, Van Meeteren N. Health condition, impairment, activity limitations: Relationships with emotions and control cognitions in people with disabling conditions. Rehab Psychol 2007;52(3):280–289.
   Web of Science ®Google Scholar
• Fisher K, Johnston M. Experimental manipulation of perceived control and its effect on disability. Psychol Health 1996;11(5):657–669.
   Web of Science ®Google Scholar
• Johnston M, Bonetti D, Joice S, Pollard B, Morrison V, Francis JJ, et al. Recovery from disability after stroke as a target for a behavioural intervention: Results of a randomised controlled trial. Disabil Rehabil 2007;29(14):1117–1127.
   PubMed Web of Science ®Google Scholar
• Johnston M, Gilbert P, Partridge C, Collins J. Changing perceived control in patients with physical-disabilities – An intervention study with patients receiving rehabilitation. Brit J Clin Psychol 1992;31:89–94.
   PubMed Web of Science ®Google Scholar
• Lorig KR, Sobel DS, Stewart AL, Brown BW, Bandura A, Ritter P, et al. Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization – A randomized trial. Med Care 1999;37(1):5–14.
   PubMed Web of Science ®Google Scholar
• Bonetti D, Johnston M, Rodriguez-Marin j, Pastor M, Martin-Aragon M, Doherty E, et al. Dimensions of perceived control: A factor analysis of three measures and an examination of their relation to activity level and mood in a student and cross-cultural patient sample. Psychol Health 2001;16:655–674.
   Web of Science ®Google Scholar