Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-21T07:51:11.208Z Has data issue: false hasContentIssue false

The impact of frailty and cognitive impairment on quality of life: employment and social context matter

Published online by Cambridge University Press:  13 November 2018

Judith Godin
Affiliation:
Geriatric Medicine Research, Division of Geriatric Medicine, Nova Scotia Health Authority and Dalhousie University, Nova Scotia, Canada
Joshua J. Armstrong
Affiliation:
Department of Health Sciences, Lakehead University, Thunder Bay, Ontario, Canada
Lindsay Wallace
Affiliation:
Geriatric Medicine Research, Division of Geriatric Medicine, Nova Scotia Health Authority and Dalhousie University, Nova Scotia, Canada
Kenneth Rockwood
Affiliation:
Geriatric Medicine Research, Division of Geriatric Medicine, Nova Scotia Health Authority and Dalhousie University, Nova Scotia, Canada
Melissa K. Andrew*
Affiliation:
Geriatric Medicine Research, Division of Geriatric Medicine, Nova Scotia Health Authority and Dalhousie University, Nova Scotia, Canada
*
Correspondence should be addressed to: Melissa K. Andrew, c/o Division of Geriatric Medicine, Veterans’ Memorial Building, 5955 Veterans’ Memorial Lane, Halifax, NS B3H 2E1, Canada. Phone: (902) 473-4995; Fax: (902) 473-7133. Email: mandrew@dal.ca.
Get access

Abstract

Background:

How cognitive impairment and frailty combine to impact on older adults’ Quality of Life (QoL) is little studied, but their inter-relationships are important given how often they co-occur. We sought to examine how frailty and cognitive impairment, as well as changes in frailty and cognition, are associated with QoL and how these relationships differ based on employment status and social circumstances.

Methods:

Using the Survey of Health, Ageing, and Retirement in Europe data, we employed moderated regression, followed by simple slopes analysis, to examine how the relationships between levels of health (i.e., of frailty and cognition) and QoL varied as a function of sex, age, education, social vulnerability, and employment status. We used the same analysis to test whether the relationships between changes in health (over two years) and QoL varied based on these same moderators.

Results:

Worse frailty (b = −1.61, p < .001) and cognitive impairment (b = −0.08, p < .05) were each associated with lower QoL. Increase in frailty (b = −2.17, p < .001) and cognitive impairment (b = −0.25, p < .001) were associated with lower QoL. The strength of these relationships varied depending on interactions with age, sex, education, social vulnerability, and employment status. Higher social vulnerability was consistently associated with lower QoL in analyses examining both static health (b = −3.16, p < .001) and change in health (b = −0.66, p < .001).

Conclusions:

Many predictors of QoL are modifiable, providing potential targets to improve older adults’ QoL. Even so, the relationships between health, cognition, and social circumstances that shape QoL in older adults are complex, highlighting the importance for individualized interventions.

Type
Original Research Article
Copyright
© International Psychogeriatric Association 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ackerman, N. and Paolucci, B. (1983). Objective and subjective income adequacy: their relationship to perceived life quality studies. Social Indicators Research, 12, 2548. doi: 10.1007/BF00428859.CrossRefGoogle Scholar
Aiken, L. S. and West, S. G. (1991). Multiple Regression: Testing and Interpreting Interactions. Newbury Park, CA: Sage Publications.Google Scholar
Allerhand, M., Gale, C. R. and Deary, I. J. (2014). The dynamic relationship between cognitive function and positive well-being in older people: a prospective study using the English Longitudinal Study of Aging. Psychology and Aging, 29, 306318. doi: 10.1037/a0036551.CrossRefGoogle ScholarPubMed
Andrew, M. K., Mitnitski, A. B. and Rockwood, K. (2008). Social vulnerability, frailty and mortality in elderly people. PloS one, 3, e2232. doi: 10.1371/journal.pone.0002232.CrossRefGoogle ScholarPubMed
Barcaccia, B., Esposito, G., Matarese, M., Bertolaso, M., Elvira, M. and De Marinis, M. G. (2013). Defining quality of life: a wild-goose chase? Europe’s Journal of Psychology, 9, 185203. doi: 10.5964/ejop.v9i1.484.CrossRefGoogle Scholar
Beydoun, M. A., Beydoun, H. A., Gamaldo, A. A., Teel, A., Zonderman, A. B. and Wang, Y. (2014). Epidemiologic studies of modifiable factors associated with cognition and dementia: systematic review and meta-analysis. BMC Public Health, 14, 643. doi: 10.1186/1471-2458-14-643.CrossRefGoogle ScholarPubMed
Bielderman, A., de Greef, M. H. G., Krijnen, W. P. and van der Schans, C. P. (2015). Relationship between socioeconomic status and quality of life in older adults: a path analysis. Quality of Life Research, 24, 16971705. doi: 10.1007/s11136-014-0898-y.CrossRefGoogle ScholarPubMed
Blodgett, J., Theou, O., Kirkland, S., Andreou, P. and Rockwood, K. (2014). The association between sedentary behaviour, moderate-vigorous physical activity and frailty in NHANES cohorts. Maturitas, 80, 187191. doi: 10.1016/j.maturitas.2014.11.010.CrossRefGoogle ScholarPubMed
Börsch-Supan, A. et al. (2013). Data resource profile: the survey of health, ageing and retirement in Europe (SHARE). International Journal of Epidemiology, 42, 9921001. doi: 10.1093/ije/dyt088.CrossRefGoogle Scholar
Durá-Ferrandis, E. et al. (2017). Personality, coping, and social support as predictors of long-term quality-of-life trajectories in older breast cancer survivors: CALGB protocol 369901 (Alliance). Psycho-Oncology, 26, 18. doi: 10.1002/pon.4404.CrossRefGoogle Scholar
Finney, N. and Marshall, A. (2018). Is migration in later life good for wellbeing? A longitudinal study of ageing and selectivity of internal migration. Area, 19. doi: 10.1111/area.12428.Google ScholarPubMed
Godin, J., Armstrong, J. J., Rockwood, K. and Andrew, M. K. (2017). Dynamics of frailty and cognition after age 50: why it matters that cognitive decline is mostly seen in old age. Journal of Alzheimers Disease, 58, 231242. doi: 10.3233/JAD-161280.CrossRefGoogle ScholarPubMed
Hill, N. L. et al. (2017). Subjective cognitive impairment and quality of life: a systematic review. International Psychogeriatrics, 29, 113. doi: 10.1017/S1041610217001636.CrossRefGoogle ScholarPubMed
Howel, D. (2012). Interpreting and evaluating the CASP-19 quality of life measure in older people. Age and Ageing, 41, 612617. doi: 10.1093/ageing/afs023.CrossRefGoogle ScholarPubMed
Hyde, M., Wiggins, R. D., Higgs, P. and Blane, D. B. (2003). A measure of quality of life in early old age: the theory, development and properties of a needs satisfaction model (CASP-19). Aging & Mental Health, 7, 186194. doi: 10.1080/1360786031000101157.CrossRefGoogle Scholar
Kalousova, L. and de Leon, C. M. (2015). Increase in frailty of older workers and retirees predicted by negative psychosocial working conditions on the job. Social Science and Medicine, 124, 275283. doi: 10.1016/j.socscimed.2014.11.055.CrossRefGoogle ScholarPubMed
Kojima, G. et al. (2016). Frailty predicts trajectories of quality of life over time among British community-dwelling older people. Quality of Life Research, 25, 17431750. doi: 10.1007/s11136-015-1213-2.CrossRefGoogle ScholarPubMed
Langlois, F., Vu, T. T. M., Kergoat, M. J., Chassé, K., Dupuis, G. and Bherer, L. (2012). The multiple dimensions of frailty: physical capacity, cognition, and quality of life. International Psychogeriatrics, 24, 14291436. doi: 10.1017/S1041610212000634.CrossRefGoogle Scholar
Lenardt, M., Kolb, N., Binotto, M., Willig, M. H., Lourenço, T. M. and Albino, J. (2016). Frailty and quality of life in elderly primary health care users. Revista Brasileira de Enfermagem, 69, 478483. doi: 10.1590/0034-7167.2016690309i.CrossRefGoogle ScholarPubMed
Lumley, T. (2004). Analysis of complex survey samples. Journal of Statistical Software, 9, 119. doi: 10.18637/jss.v009.i08.CrossRefGoogle Scholar
Marshall, A. and Nazroo, J. (2016). Trajectories in the prevalence of self-reported illness around retirement. Journal of Population Ageing, 9, 1148. doi: 10.1007/s12062-015-9130-2.CrossRefGoogle Scholar
Marshall, A., Nazroo, J., Tampubolon, G. and Vanhoutte, B. (2015). Cohort differences in the levels and trajectories of frailty among older people in England. Journal of Epidemiology and Community Health, 69, 316321. doi: 10.1136/jech-2014-204655.CrossRefGoogle ScholarPubMed
Mitnitski, A. B., Mogilner, A. J. and Rockwood, K. (2001). Accumulation of deficits as a proxy measure of aging. TheScientificWorldJournal, 1, 323336. doi: 10.1100/tsw.2001.58.CrossRefGoogle Scholar
Netuveli, G., Wiggins, R. D., Hildon, Z., Montgomery, S. M. and Blane, D. (2006). Quality of life at older ages: evidence from the English longitudinal study of aging (wave 1). Journal of Epidemiology and Community Health, 60, 357363. doi: 10.1136/jech.2005.040071.CrossRefGoogle Scholar
Platts, L. G., Webb, E., Zins, M., Goldberg, M. and Netuveli, G. (2015). Mid-life occupational grade and quality of life following retirement: a 16-year follow-up of the French GAZEL study. Aging & Mental Health, 19, 634–46. doi: 10.1080/13607863.2014.955458.CrossRefGoogle ScholarPubMed
Puts, M. T. E. et al. (2017). Interventions to prevent or reduce the level of frailty in community-dwelling older adults: a scoping review of the literature and international policies. Age and Ageing, 46, 383392. doi: 10.1093/ageing/afw247.Google ScholarPubMed
Raggi, A. et al. (2016). Determinants of quality of life in ageing populations: results from a cross-sectional study in Finland, Poland and Spain. PLoS ONE, 11, 117. doi: 10.1371/journal.pone.0159293.CrossRefGoogle ScholarPubMed
Rockwood, K. and Song, X. (2011). Changes in relative fitness and frailty across the adult lifespan: evidence from the Canadian National Population Health Survey. Canadian Medical Association Journal, 2007, 487495. doi: 10.1503/cmaj.110626.Abstract.CrossRefGoogle Scholar
Searle, S. D., Mitnitski, A. B., Gahbauer, E. A., Gill, T. M. and Rockwood, K. (2008). A standard procedure for creating a fraily index. BMC Geriatrics, 8, 24. doi: 10.1186/1471-2318-8-24.CrossRefGoogle Scholar
Sterniczuk, R., Theou, O., Rusak, B. and Rockwood, K. (2015). Cognition test performance in relation to health and function in 12 European countries: the SHARE study. Canadian Geriatrics Journal, 18, 144151. doi: 10.5770/cgj.18.154.CrossRefGoogle ScholarPubMed
Then, F. S. et al. (2014). Systematic review of the effect of the psychosocial working environment on cognition and dementia. Occupational and Environmental Medicine, 71, 358365. doi: 10.1136/oemed-2013-101760.CrossRefGoogle ScholarPubMed
Theou, O., Brothers, T. D., Rockwood, M. R., Haardt, D., Mitnitski, A. B. and Rockwood, K. (2013). Exploring the relationship between national economic indicators and relative fitness and frailty in middle-aged and older Europeans. Age and Ageing, 42, 614619. doi: 10.1093/ageing/aft010.CrossRefGoogle ScholarPubMed
United Nations Educational, Scientific and Cultural Organization: International Standard Classification of Education (1997). http://www.unesco.org/education/information/nfsunesco/doc/isced_1997.htmGoogle Scholar
Wallace, L. M. K., Theou, O., Pena, F., Rockwood, K. and Andrew, M. K. (2015). Social vulnerability as a predictor of mortality and disability: cross-country differences in the survey of health, aging, and retirement in Europe (SHARE). Aging Clinical and Experimental Research, 27, 365372. doi: 10.1007/s40520-014-0271-6.CrossRefGoogle Scholar
Wiggins, R. D., Netuveli, G., Hyde, M., Higgs, P. and Blane, D. (2007). The evaluation of a self-enumerated scale of quality of life (CASP-19) in the context of research on ageing: a combination of exploratory and confirmatory approaches. Social Indicators Research, 89, 6177. doi: 10.1007/s11205-007-9220-5.CrossRefGoogle Scholar
Zlatar, Z. Z., Moore, R. C., Palmer, B. W., Thompson, W. K. and Jeste, D. V. (2014). Cognitive complaints correlate with depression rather than concurrent objective cognitive impairment in the successful aging evaluation baseline sample. Journal of Geriatric Psychiatry and Neurology, 27, 181187. doi: 10.1177/0891988714524628.CrossRefGoogle ScholarPubMed
Supplementary material: File

Godin et al. supplementary material

Tables S1-S12

Download Godin et al. supplementary material(File)
File 29.7 KB