Abstract
In the World Health Organization’s International Classification of Functioning, Disability and Health, participation restriction—the social and personal consequences of health conditions and their environment—is an important component of the concept of disability. The cross-sectional associations between perceived participation restriction and health, demographic and socio-economic factors were examined in 7,878 community-dwelling adults aged 50 years and over in North Staffordshire, UK who responded to a postal survey. All health conditions, impairments, activity limitations, demographic and socio-economic factors were associated with participation restriction, after adjusting for age and gender in a logistic regression analysis. Health and disability factors most strongly and independently associated with participation restriction in a multivariate analysis were the number of peripheral joint pains, the number of health conditions, cognitive impairment, anxiety, depression, and activity limitation. Perceived adequacy of income, employment status and occupational class were also significantly associated with participation restriction after adjusting for health and disability factors. In conclusion, perceived participation restriction is associated with a range of health and socio-economic factors. Although further prospective research is needed to identify the direction of causal association, these factors represent potential targets for intervention to prevent or reduce participation restriction in older adults in the community.
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Fried, L. P., & Guralnik, J. M. (1997). Disability in older adults: Evidence regarding significance, aetiology, and risk. Journal of the American Geriatrics Society, 45, 92–100.
World Health Organization. (2001). International classification of functioning, disability and health. Geneva: World Health Organization.
Harwood, R. H., Jitapunkul, S., Dickinson, E., & Ebrahim, S. (1994). Measuring handicap: Motives, methods, and a model. Quality in Health Care, 3, 53–57.
Harwood, R. H., Prince, M., Mann, A., & Ebrahim, S. (1998). Associations between diagnoses, impairments, disability and handicap in a population of elderly people. International Journal of Epidemiology, 27, 261–268.
Moore, E. G., Rosenberg, M. W., & Fitzgibbon, S. H. (1999). Activity limitation and chronic conditions in Canada’s elderly, 1986–2011. Disability and Rehabilitation, 21, 196–210.
Ebrahim, S., Wannamethee, S. G., Whincup, P., Walker, M., & Shaper, A. G. (2000). Locomotor disability in a cohort of British men: The impact of lifestyle and disease. International Journal of Epidemiology, 29, 478–486.
Odding, E., Valkenburg, H. A., Stam, H. J., & Hofman, A. (2002). Determinants of locomotor disability in people aged 55 years and over: The Rotterdam study. European Journal of Epidemiology, 17, 1033–1041.
Adamson, J., Hunt, K., & Ebrahim, S. (2003). Association between measures of morbidity and locomotor disability: Diagnosis alone is not enough. Social Science & Medicine, 57, 1355–1360.
Penninx, B. W., Guralnik, J. M., Ferrucci, L., Simonsick, E. M., Deeg, D. J., & Wallace, R. B. (1998). Depressive symptoms and physical decline in community-dwelling older persons. JAMA, 279, 1720–1726.
Fried, L. P., Bandeen-Roche, K., Kasper, J. D., & Guralnik, J. M. (1999). Association of comorbidity with disability in older women: The Women’s Health and Aging Study. Journal of Clinical Epidemiology, 52, 27–37.
Grundy, E., & Glaser, K. (2000). Socio-demographic differences in the onset and progression of disability in early old age: A longitudinal study. Age Ageing, 29, 149–157.
Cousins, C., Jenkins, J., & Laux, R. (1998). Disability data from the Labour Force Survey: Comparing 1997–98 with the past. In Office for National Statistics, Labour market trends (June edition). HMSO: London.
Grundy, E., Ahlburg, D., Ali, M., Breeze, E., & Sloggett, A. (2000). Disability in Great Britain: Results of the 1996/7 disability follow-up to the family resources survey. Department of social security (Research report no. 94). HMSO: London.
Wilkie, R., Peat, G. M., Thomas, E., & Croft, P. R. (2006). The prevalence of participation restriction in community-dwelling older adults. Quality of Life Research, 15, 1471–1479.
Thomas, E., Wilkie, R., Peat, G., Hill, S., Dziedzic, K., & Croft, P. (2004). The North Staffordshire Osteoarthritis Project-NorStOP: Prospective, 3-year study of the epidemiology and management of clinical osteoarthritis in a general population of older adults. BMC Musculoskeletal Disorders, 5, 2.
Thomas, E., Peat, G., Harris, L., Wilkie, R., & Croft, P. (2004). The prevalence of pain and pain interference in a general population of older adults: Cross-sectional findings from the North Staffordshire Osteoarthritis Project (NorStOP). Pain, 110, 361–368.
Office for National Statistics. (2002). Health quarterly 20. London: Office for National Statistics.
Pettit, T., Livingston, G., Manela, M., Kitchen, G., Katona, C., & Bowling, A. (2001). Validation and normative data of health status measures in older people: The Islington study. International Journal of Geriatric Psychiatry, 16, 1061–1070.
Wilkie, R., Peat, G. M., Thomas, E., & Croft, P. R. (2004). Measuring the consequences of osteoarthritis and joint pain in population-based studies: Can existing health measurement instruments capture levels of participation? Arthritis and Rheumatism, 51, 755–762.
Wilkie, R., Peat, G. M., Thomas, E., Hooper, H., & Croft, P. R. (2005). The Keele assessment of participation: A new instrument to measure participation restriction in population studies. Combined qualitative and quantitative examination of its psychometric properties. Quality of Life Research, 14(8), 1889–1899.
Felson, D. T., Lawrence, R. C., Dieppe, P. A., Hirsch, R., Helmick, C. G., Jordan, J. M., Kington, R. S., Lane, N. E., Nevitt, M. C., Zhang, Y., Sowers, M., McAlindon, T., Spector, T. D., Poole, A. R., Yanovski, S. Z., Ateshian, G., Sharma, L., Buckwalter, J. A., Brandt, K. D., & Fries, J. F. (2000). Osteoarthritis: New insights. Part 1: The disease and its risk factors. Annals of Internal Medicine, 133, 635–646.
Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67, 361–370.
Bergner, M., Bobbitt, R. A., Carter, W. B., & Gilson, B. S. (1981). The Sickness Impact Profile: Development and final revision of a health status measure. Medical Care, 19, 787–805.
Ware, J. E. Jr., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30, 473–483.
Berkman, L. F., & Syme, S. L. (1979). Social networks, host resistance, and mortality: A nine-year follow-up study of Alameda County residents. American Journal of Epidemiology, 109, 186–204.
Office for National Statistics. (2000). Standard occupational classification 2000 (Vol. 2). The coding index. London.
Office for National Statistics. (2001) The National Statistics Socio-economic classification user manual. Version 1. London.
Thomas, R. (1999). Income-commentary. http://qb.soc.surrey.ac.uk/topics/income/thomas_wealth.htm#fourteen (Accessed 16th August 2004).
Flood, V., Webb, K., Lazarus, R., & Pang, G. (2000). Use of self-report to monitor overweight and obesity in populations: Some issues for consideration. Australian and New Zealand Journal of Public Health, 24, 96–99.
Department of Health. (1999). Health survey for England. London: The Stationary Office.
Mallinson, S. (2002). Listening to respondents: A qualitative assessment of the Short-Form 36 Health Status Questionnaire. Social Science & Medicine, 54, 11–21.
Bowling, A., Bond, M., Jenkinson, C., & Lamping, D. L. (1999). Short Form 36 (SF-36) Health Survey questionnaire: Which normative data should be used? Comparisons between the norms provided by the Omnibus Survey in Britain, the Health Survey for England and the Oxford Healthy Life Survey. Journal of Public Health Medicine, 21, 255–270.
Ruggeri, M., Bisoffi, G., Fontecedro, L., & Warner, R. (2001). Subjective and objective dimensions of quality of life in psychiatric patients: A factor analytical approach: The South Verona Outcome Project 4. The British Journal of Psychiatry, 178, 268–275.
Pincus, T., & Morley, S. (2001). Cognitive-processing bias in chronic pain: A review and integration. Psychological Bulletin, 127, 599–617.
Schwartz, C. E., & Rapkin, B. D. (2004) Reconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health and Quality of Life Outcomes, 2, 16.
Acknowledgements
This study is supported financially by the Medical Research Council, UK (grant code: G9900220) and by the North Staffordshire Primary Care R&D Consortium. We would like to thank the administrative and health informatics staff at Keele University’s Primary Care Sciences Research Centre and the doctors and staff of the participating general practices.
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Wilkie, R., Peat, G., Thomas, E. et al. Factors associated with participation restriction in community-dwelling adults aged 50 years and over. Qual Life Res 16, 1147–1156 (2007). https://doi.org/10.1007/s11136-007-9221-5
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DOI: https://doi.org/10.1007/s11136-007-9221-5