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Health-related quality of life in relation to mobility and fall risk in 85-year-old people: a population study in Sweden

Published online by Cambridge University Press:  11 August 2015

EVA TÖRNVALL ,
JAN MARCUSSON  and
EWA WRESSLE
EVA TÖRNVALL
Affiliation:
R&D Department of Local Health Care, Faculty of Health Sciences, Linköping University, Sweden.
JAN MARCUSSON
Affiliation:
Department of Clinical and Experimental Medicine, Geriatrics, Faculty of Health Sciences, Linköping University, Sweden.
EWA WRESSLE*
Affiliation:
Department of Clinical and Experimental Medicine, Geriatrics, Faculty of Health Sciences, Linköping University, Sweden.
*
Address for correspondence: Ewa Wressle, University Hospital, Department of Geriatrics, SE-581 85 Linköping, Sweden E-mail: [email protected]
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Abstract

Optimal mobility is fundamental for healthy ageing and quality of life. This study is part of a cross-sectional population-based study of 85-year-old people residing in Linköping municipality, Sweden. The purpose was to describe 85-year-old peoples' health-related quality of life (HRQoL) in relation to mobility and fall risk while adjusting for gender and body mass index. Data collection included a postal questionnaire, a home visit and a reception visit. HRQoL was assessed with EQ-5D-3L, mobility with the Timed Up and Go test (TUG) and fall risk with the Downton Fall Risk Index (DFRI). All those who completed the DFRI, TUG and EQ-5D-3L were included in the present study (N = 327). Lower HRQoL was associated with longer time taken to complete TUG and higher fall risk in both genders but not with body mass index. Women had higher risk of falling, took a longer time to complete TUG and reported less physical activity compared with men. Health-care professionals should address mobility capacity and fall risk in order to maintain quality of life in elderly people. This is of utmost importance, especially for elderly women because impaired mobility, high risk of falling and occurrence of pain are common among women, and related to lower HRQoL.

Keywords

Downton Fall Risk IndexTimed Up and GoEQ-5Delderlygenderbody mass index
Type
Articles
Information
Ageing & Society , Volume 36 , Issue 9 , October 2016 , pp. 1982 - 1997
Copyright
Copyright © Cambridge University Press 2015 

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References

Altman, D. G. 1991. Practical Statistics for Medical Research. Chapman & Hall, London.Google Scholar
Ambrose, A. F., Paul, G. and Hausdorff, J. M. 2013. Risk factors for falls among older adults: a review of the literature. Maturitas, 75, 1, 51–61.CrossRefGoogle ScholarPubMed
Bishoff, H. A., Stählein, H. B., Monsch, A. U., Iversen, M. D., Weyh, A., von Dechend, M., Akos, R., Conzelmann, M., Dick, W. and Theiler, R. 2003. Identifying a cut off point for normal mobility: a comparison of the timed ‘up and go’ test in community-dwelling and institutionalised elderly women. Age and Aging, 32, 3, 315–20.CrossRefGoogle Scholar
Bramell-Risberg, E., Jarnlo, G.-B. and Elmståhl, S. 2012. Separate physical tests of lower extremities and postural control are associated with cognitive impairment. Result from the general population study Good Aging in Skåne (GÅS-SNAC). Clinical Interventions in Aging, 7, 195–205.CrossRefGoogle ScholarPubMed
Collerton, J., Davies, K., Jagger, C., Kingston, A., Bond, J., Eccles, M. P., Robinson, L. A., Martin-Ruiz, C., von Zglinicki, T., James, O. F. and Kirkwood, T. B. 2009. Health and disease in 85 year olds: baseline findings from the Newcastle 85+ cohort study. British Medical Journal, 399, Dec 22, b4904.CrossRefGoogle Scholar
Desjardins-Crépeau, L., Berryman, N., Vu, T. T. M., Villalpando, J. M., Kergoat, M.-J., Li, K. Z., Bosquet, L. and Bherer, L. 2014. Physical functioning is associated with processing speed and executive functions in community-dwelling older adults. Journals of Gerontotology: Psychological Sciences and Social Sciences, 69B, 6, 837–44.CrossRefGoogle Scholar
Dong, H.-J., Wressle, E. and Marcusson, J. 2015. Unaltered image of health maintenance: an observation of non-participants in a Swedish cohort study of 85 to 86 year olds. Journal of Frailty & Aging, 4, 2, 93–9.Google Scholar
Downton, J. H. 1993. Falls in the Elderly. Edward Arnold, London.Google Scholar
Downton, J. H. and Andrews, K. 1991. Prevalence, characteristics and factors associated with falls among the elderly living at home. Aging, 3, 3, 219–28.Google ScholarPubMed
Fagerström, C. and Borglin, G. 2010. Mobility, functional ability and health-related quality of life among people of 60 years or older. Aging Clinical Experimental Research, 22, 5–6, 387–94.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E. and McHugh, P. R. 1975. Mini-Mental State: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 3, 189–98.CrossRefGoogle Scholar
Folstein, M. F., Folstein, S. E., McHugh, P. R. and Fanjiang, G. 2001. Mini-Mental State Examination User's Guide. Psychological Assessment Resources, Odessa, Florida.Google Scholar
Gómez-Cabello, A., Carnicero, J. A., Alonso-Bouzón, C., Tresguerres, J. A., Alfaro-Acha, A., Ara, I., Rodriguez-Mañas, L. and García-García, F. J. 2014. Age and gender, two key factors in the associations between physical activity and strength during the ageing process. Maturitas, 78, 2, 106–12.CrossRefGoogle ScholarPubMed
Gorgon, E., Said, C. and Galea, M. 2007. Mobility on discharge from an aged care unit. Physiotherapy Research International, 12, 2, 72–81.CrossRefGoogle ScholarPubMed
Himes, C. L. and Reynolds, S. L. 2012. Effect of obesity on falls, injury and disability. Journal of the American Geriatrics Society, 60, 1, 124–9.CrossRefGoogle ScholarPubMed
Holmgren, M., Lindgren, A., de Munter, J., Rasmussen, F. and Ahlström, G. 2014. Impacts of mobility disability and high and increasing body mass index on health-related quality of life and participation in society: a population-based cohort study from Sweden. BMC Public Health, 14, 1, 381.CrossRefGoogle ScholarPubMed
Idland, G., Rydwik, E., Cvancarova Småstuen, M. and Bergland, A. 2013. Predictors of mobility in community-dwelling women aged 85 or older. Disability & Rehabilitation, 35, 11, 881–7.CrossRefGoogle ScholarPubMed
Kannus, P., Sievänen, H., Palvanen, M., Järvinen, M. and Parkkari, J. 2005. Prevention of falls and consequent injuries in elderly people. Lancet, 366, 9500, 1885–93.CrossRefGoogle ScholarPubMed
Kovács, É., Prókai, L., Mészaros, L. and Gondos, T. 2013. Adapted physical activity is beneficial on balance, functional ability, quality of life and fall risk in community-dwelling older women: a randomized single-blinded controlled trial. European Journal of Physical and Rehabilitation Medicine, 49, 3, 301–10.Google Scholar
López-López, A., González, J. L., Alonso-Fernández, M., Cuidad, N. and Matías, B. 2014. Pain and symptoms of depression in older adults living in community and nursing homes: the role of activity restriction as potential mediator and moderator. International Psychogeriatrics, 26, 10, 1679–91.CrossRefGoogle ScholarPubMed
Montero-Odasso, M., Verghese, J., Beauchet, O. and Hausdorff, J. M. 2012. Gait and cognition: a complementary approach to understanding brain function and the risk of falling. Journal of the American Geriatrics Society, 60, 11, 2127–36.CrossRefGoogle ScholarPubMed
Myers, H. 2003. Hospital fall risk assessment tools: a critique of the literature. International Journal of Nursing Practice, 9, 4, 223–35.CrossRefGoogle ScholarPubMed
Myers, H. and Nikoletti, S. 2003. Fall risk assessment: a prospective investigation of nurses’ clinical judgement and risk assessment tools in predicting patient falls. International Journal of Nursing Practice, 9, 3, 158–65.CrossRefGoogle ScholarPubMed
Nordin, E., Lindelöf, N., Rosendahl, E., Jensen, J. and Lundin-Olsson, L. 2008. Prognostic validity of the Timed Up-and-Go test, a modified Get-Up-and-Go test, staff's global judgement and fall history in evaluating fall risk in residential care facilities. Age and Ageing, 37, 4, 442–8.CrossRefGoogle Scholar
Nägga, K., Dong, H. J., Marcusson, J., Olin Skoglund, S. and Wressle, E. 2012. Health-related factors associated with hospitalization for old people: comparisons of elderly aged 85 in a population study. Archives of Gerontology and Geriatrics, 54, 2, 391–7.CrossRefGoogle Scholar
Persad, C. C., Cook, B. and Giordani, B. 2010. Assessing falls in the elderly: should we use simple screening tests or a comprehensive fall risk evaluation? European Journal of Physical and Rehabilitation Medicine, 46, 2, 249–59.Google ScholarPubMed
Podsiadlo, D. and Richardson, S. 1991. The Timed ‘Up & Go’: a test of basic functional mobility for frail elderly persons. Journal of the American Geriatrics Society, 39, 2, 142–8.CrossRefGoogle Scholar
Prohaska, T. R., Anderson, L. A., Hooker, S. P., Hughes, S. L. and, Belza, B. 2011. Mobility and aging: transference to transportation. Journal of Aging Research, 2011, 392751, 1–3.CrossRefGoogle ScholarPubMed
Rabin, R. and de Charro, F. 2001. EQ-5D: a measure of health status from the EuroQol Group. Annals of Medicine, 33, 5, 337–43.CrossRefGoogle ScholarPubMed
Rådholm, K., Östgren, C. J., Alehagen, U., Falk, M., Wressle, E., Marcusson, J. and Nägga, K. 2011. Atrial fibrillation (AF) and co-morbidity in elderly. A population based survey of 85 years old subjects. Archives of Gerontology and Geriatrics, 52, 3, e170–5.CrossRefGoogle ScholarPubMed
Rockwood, K., Awalt, E., Caver, D. and MacKnight, C. 2000. Feasibility and measurement properties of the functional reach and the Timed Up and Go tests in the Canadian study of health and aging. Journal of Gerontology, 5A, 2, M70–3.Google Scholar
Rosendahl, E., Lundin-Olsson, L., Kallin, K., Jensen, J., Gustafson, Y. and Nyberg, L. 2003. Prediction of falls among older people in residential care facilities by the Downton Index. Aging and Clinical Experimental Research, 15, 2, 142–7.CrossRefGoogle ScholarPubMed
Rossat, A., Fantino, B., Nitenberg, C., Annweiler, C., Poujol, L., Herrmann, F. R. and Beauchet, O. 2010. Risk factors for falling in community-dwelling older adults: which of them are associated with the recurrence of falls? Journal of Nutrition, Health and Aging, 14, 9, 787–91.CrossRefGoogle ScholarPubMed
Saveman, B. I. and Björnstig, U. 2011. Unintentional injuries among older adults in northern Sweden – a one-year population-based study. Scandinavian Journal of Caring Sciences, 25, 1, 185–93.CrossRefGoogle ScholarPubMed
Saverino, A., Benevolo, E., Ottonello, M., Zsirai, E. and Sessarego, P. 2006. Falls in a rehabilitation setting: functional independence and fall risk. Europa Medicophysica, 42, 3, 179–84.Google Scholar
Scott, V., Votova, K., Scanlan, A. and Close, J. 2007. Multifactorial and functional mobility assessment tools for fall risk among older adults in community, home-support, long-term and acute care settings. Age and Ageing, 36, 2, 130–9.CrossRefGoogle ScholarPubMed
Stenzelius, K., Westergren, A., Thorneman, G. and Rahm Hallberg, I. 2005. Pattern of health complaints among people 75+ in relation to quality of life and need of help. Archives of Gerontology and Geriatrics, 40, 1, 85–102.CrossRefGoogle ScholarPubMed
The EuroQol Group 1990. EuroQol: a new facility for the measurement of health-related quality of life. Health Policy, 16, 3, 199–208.CrossRefGoogle Scholar
Tinetti, M. E. and Kumar, C. 2010. Care of the aging patient: from evidence to action. The patient who falls ‘It's always a trade-off‘. JAMA: Journal of American Medical Association, 303, 3, 258–66.CrossRefGoogle Scholar
Turner Goins, R., Jones, J., Schure, M., Rosenberg, D. E., Phelan, E. A., Dodson, S. and Jones, D. L. 2014. Older adults’ perceptions of mobility: a metasynthesis of qualitative studies. The Gerontologist. Published online 17 March 2014, doi:10.1093/geront/gnu014.Google Scholar
Vaapio, S., Salminen, M., Vahlberg, T., Sjösten, N., Isoaho, R., Aarnio, P. and Kivelä, S. L. 2007. Effects of risk-based multifactorial fall prevention on health related quality of life among the community-dwelling aged: a randomized controlled trial. Health and Quality of Life Outcomes, 5, 1, 20.CrossRefGoogle ScholarPubMed
von Heideken Wågert, P., Gustafson, Y., Kallin, K., Jensen, J. and Lundin-Olsson, L. 2009. Falls in very old people: the population-based Umeå 85+ Study in Sweden. Archives of Gerontology and Geriatrics, 49, 3, 390–6.CrossRefGoogle ScholarPubMed
Wagner, L. M., Scott, V. and Silver, M. 2011. Current approaches to fall risk assessment in nursing homes. Geriatric Nursing, 32, 4, 238–44.CrossRefGoogle ScholarPubMed
World Health Organization 2000. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. Technical Report 894, World Health Organization, Geneva.Google Scholar
Wu, T.-Y., Chie, W.-C., Yang, R.-S., Kuo, K.-L., Wong, W.-K. and Liaw, C.-K. 2013. Risk factors for single and recurrent falls: a prospective study of falls in community dwelling seniors without cognitive impairment. Preventive Medicine, 57, 5, 511–7.CrossRefGoogle Scholar
Yan, L. L., Daviglus, M. L., Liu, K., Pirzada, A., Garside, D. B., Schiffer, L., Dyer, A. R. and Greenland, P. 2004. BMI and health-related quality of life in adults 65 years and older. Obesity Research, 12, 1, 69–76.CrossRefGoogle ScholarPubMed