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Disentangling the complex relation of disability and depressive symptoms in old age – findings of a multicenter prospective cohort study in Germany

Published online by Cambridge University Press:  30 January 2017

André Hajek Open the ORCID record for André Hajek [Opens in a new window] ,
Christian Brettschneider ,
Marion Eisele ,
Dagmar Lühmann ,
Silke Mamone ,
Birgitt Wiese ,
Siegfried Weyerer ,
Jochen Werle ,
Angela Fuchs  and
Michael Pentzek
...Show all authors
André Hajek*
Affiliation:
Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany
Christian Brettschneider
Affiliation:
Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany
Marion Eisele
Affiliation:
Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Germany
Dagmar Lühmann
Affiliation:
Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Germany
Silke Mamone
Affiliation:
Institute of General Practice, Hannover Medical School, Germany
Birgitt Wiese
Affiliation:
Institute of General Practice, Hannover Medical School, Germany
Siegfried Weyerer
Affiliation:
Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
Jochen Werle
Affiliation:
Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
Angela Fuchs
Affiliation:
Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Germany
Michael Pentzek
Affiliation:
Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Germany
Janine Stein
Affiliation:
Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany
Tobias Luck
Affiliation:
Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany
Horst Bickel
Affiliation:
Department of Psychiatry, Technical University of Munich, Germany
Edelgard Mösch
Affiliation:
Department of Psychiatry, Technical University of Munich, Germany
Kathrin Heser
Affiliation:
Department of Psychiatry, University of Bonn, Germany
Michael Wagner
Affiliation:
Department of Psychiatry, University of Bonn, Germany German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Wolfgang Maier
Affiliation:
Department of Psychiatry, University of Bonn, Germany German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Martin Scherer
Affiliation:
Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Germany
Steffi G. Riedel-Heller
Affiliation:
Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany
Hans-Helmut König
Affiliation:
Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany
*
Correspondence should be addressed to: Dr. André Hajek, University Medical Center, Hamburg-Eppendorf, Department of Health Economics and Health Services Research, Hamburg Center for Health Economics. Phone +49 40 7410 52877; Fax +49 40 7410 40261. Email: [email protected].
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Abstract

Background:

Most of the previous studies attempted to disentangle the relationship between disability and depressive symptoms were limited to observation periods of only few years. Moreover, evidence is missing regarding the complex co-occurrence of disability and depressive symptoms in old age in Germany. In order to close the research gap, we aimed at disentangling the complex co-occurrence of disability and depressive symptoms in old age in Germany over a longer time frame.

Methods:

Based on data from a representative survey of the German general population aged 75 years and older, the course of disability as well as depressive symptoms was observed every 1.5 years over six waves. While disability was quantified by the Lawton and Brody Instrumental Activities of Daily Living scale, the Geriatric Depression Scale was used to measure depressive symptoms. Taking into account the complex co-occurrence of depressive symptoms and disability, a panel vector autoregressive model was used. By taking the first differences, unobserved heterogeneity was taken into account.

Results:

In the total sample and in both sexes, we revealed a robust positive association between an initial change in depressive symptoms and subsequent changes in disability. No robust association between an initial change in disability and a subsequent change in depressive symptoms was detected.

Conclusion:

Our findings highlight the importance of changes in depressive symptoms for future changes in disability in old age.

Keywords

depressionlongitudinal studiesactivities of daily living (ADLs)
Type
Paper of the Month
Information
International Psychogeriatrics , Volume 29 , Issue 6 , June 2017 , pp. 885 - 895
Copyright
Copyright © International Psychogeriatric Association 2017 

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Footnotes

*

These authors contributed equally to this work

References

Alcock, I., White, M. P., Wheeler, B. W., Fleming, L. E. and Depledge, M. H. (2014). Longitudinal effects on mental health of moving to greener and less green urban areas. Environmental Science & Technology, 48, 1247–1255.Google Scholar
Bacon, K. L., Heeren, T., Keysor, J. J., Stuver, S. O., Cauley, J. A. and Fredman, L. (2015). Longitudinal and reciprocal relationships between depression and disability in older women caregivers and noncaregivers. The Gerontologist.Google Scholar
Barry, L. C., Soulos, P. R., Murphy, T. E., Kasl, S. V. and Gill, T. M. (2013). Association between indicators of disability burden and subsequent depression among older persons. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 68, 286–292.CrossRefGoogle ScholarPubMed
Becchetti, L., Pelloni, A. and Rossetti, F. (2008). Relational goods, sociability, and happiness. Kyklos, 61, 343–363.Google Scholar
Binder, M. and Coad, A. (2010). An examination of the dynamics of well-being and life events using vector autoregressions. Journal of Economic Behavior & Organization, 76, 352–371.Google Scholar
Binder, M. and Coad, A. (2011). Disentangling the circularity in Sen's capability approach: an analysis of the co-evolution of functioning achievement and resources. Social Indicators Research, 103, 327–355.Google Scholar
Bottan, N. L. and Truglia, R. P. (2011). Deconstructing the hedonic treadmill: is happiness autoregressive?. The Journal of Socio-Economics, 40, 224–236.Google Scholar
Brauns, H. and Steinmann, S. (1999). Educational reform in France, West-Germany and the United Kingdom. Updating the CASMIN educational classification. ZUMA-Nachrichten, 44, 7–44.Google Scholar
Brilman, E. I. and Ormel, J. (2001). Life events, difficulties and onset of depressive episodes in later life. Psychological Medicine, 31, 859–869.Google Scholar
Bruce, M. L. (2001). Depression and disability in late life: directions for future research. The American Journal of Geriatric Psychiatry, 9, 102–112.CrossRefGoogle ScholarPubMed
Cameron, A. C. and Trivedi, P. K. (2005). Microeconometrics: Methods and Applications, New York: Cambridge University Press.Google Scholar
Chang, M. et al. (2009). An association between incident disability and depressive symptoms over 3 years of follow-up among older women: the women's health and aging study. Aging Clinical and Experimental Research, 21, 191–197.Google Scholar
Chao, S.-F. (2014). Functional disability and depressive symptoms: longitudinal effects of activity restriction, perceived stress, and social support. Aging & Mental Health, 18, 767–776.Google Scholar
Chen, C.-M., Mullan, J., Su, Y.-Y., Griffiths, D., Kreis, I. A. and Chiu, H.-C. (2012). The longitudinal relationship between depressive symptoms and disability for older adults: a population-based study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 67, 1059–1067.Google Scholar
Clark, A. E., Diener, E., Georgellis, Y. and Lucas, R. E. (2008). Lags and leads in life satisfaction: a test of the baseline hypothesis. The Economic Journal, 118, F222–F243.CrossRefGoogle Scholar
Clark, A. E. and Georgellis, Y. (2013). Back to baseline in Britain: adaptation in the British household panel survey. Economica, 80, 496–512.Google Scholar
Demakakos, P., Cooper, R., Hamer, M., Oliveira, C. de, Hardy, R. and Breeze, E. (2013). The bidirectional association between depressive symptoms and gait speed: evidence from the english longitudinal study of ageing (ELSA). PloS One, 8, e68632.Google Scholar
Edwards, J. R. (2001). Ten difference score myths. Organizational Research Methods, 4, 265–287.Google Scholar
Everson-Rose, S. A., Skarupski, K. A., Bienias, J. L., Wilson, R. S., Evans, D. A. and De Leon, C. F. M. (2005). Do depressive symptoms predict declines in physical performance in an elderly, biracial population? Psychosomatic Medicine, 67, 609–615.Google Scholar
Fauth, E. B., Gerstorf, D., Ram, N. and Malmberg, B. (2012). Changes in depressive symptoms in the context of disablement processes: role of demographic characteristics, cognitive function, health, and social support. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 67, 167–177.Google Scholar
Fieo, R. A., Austin, E. J., Starr, J. M. and Deary, I. J. (2011). Calibrating ADL-IADL scales to improve measurement accuracy and to extend the disability construct into the preclinical range: a systematic review. BMC Geriatrics, 11, 1.Google Scholar
Gayman, M. D., Turner, R. J. and Cui, M. (2008). Physical limitations and depressive symptoms: exploring the nature of the association. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 63, S219–S228.Google Scholar
Graf, C. (2008). The Lawton instrumental activities of daily living scale. The American Journal of Nursing, 108, 52–62.CrossRefGoogle ScholarPubMed
Granger, C. W. J. (1988). Some recent development in a concept of causality. Journal of Econometrics, 39, 199–211.Google Scholar
Gurland, B. J., Wilder, D. E. and Berkman, C. (1988). Depression and disability in the elderly: reciprocal relations and changes with age. International Journal of Geriatric Psychiatry, 3, 163–179.Google Scholar
Hajek, A. et al. (2015). Longitudinal predictors of institutionalization in old age. PLoS One, 10, e0144203.CrossRefGoogle ScholarPubMed
Holmes, T. H. and Rahe, R. H. (1967). The social readjustment rating scale. Journal of Psychosomatic Research, 11, 213–218.Google Scholar
Katz, S. (1963). Studies of illness in the aged. JAMA, 185, 914.Google Scholar
Kempen, G. I., Steverink, N., Ormel, J. and Deeg, D. J. H. (1996). The assessment of ADL among frail elderly in an interview survey: self-report versus performance-based tests and determinants of discrepancies. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 51, P254–P260.CrossRefGoogle Scholar
Van Gool, C. H., Kempen, G. I., Penninx, B. W., Deeg, D. J. H., Beekman, A. T. F. and van Eijk, J. Th. M. (2005). Impact of depression on disablement in late middle aged and older persons: results from the longitudinal aging study Amsterdam. Social Science & Medicine, 60, 25–36.Google Scholar
Langkamp, D. L., Lehman, A. and Lemeshow, S. (2010). Techniques for handling missing data in secondary analyses of large surveys. Academic Pediatrics, 10, 205–210.CrossRefGoogle ScholarPubMed
Lawton, M. P. and Brody, E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist, 9, 179–186.Google Scholar
Lenze, E. J. et al. (2005). The course of functional decline in older people with persistently elevated depressive symptoms: longitudinal findings from the cardiovascular health study. Journal of the American Geriatrics Society, 53, 569–575.Google Scholar
McArdle, J. J. (2009). Latent variable modeling of differences and changes with longitudinal data. Annual Review of Psychology, 60, 577–605.Google Scholar
Mendes de Leon, C. and Rajan, K. B. (2014). Psychosocial influences in onset and progression of late life disability. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 69, 287–302.Google Scholar
Ormel, J., Rijsdijk, F. V., Sullivan, M., van Sonderen, E. and Kempen, G. I. J. M. (2002). Temporal and reciprocal relationship between IADL/ADL disability and depressive symptoms in late life. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 57, P338.Google Scholar
Ormel, J., VonKorff, M., Ustun, T. B., Pini, S., Korten, A. and Oldehinkel, T. (1994). Common mental disorders and disability across cultures: results from the WHO collaborative study on psychological problems in general health care. JAMA, 272, 1741–1748.Google Scholar
Penninx, B. W., Guralnik, J. M., Ferrucci, L., Simonsick, E. M., Deeg, D. J. H. and Wallace, R. B. (1998). Depressive symptoms and physical decline in community-dwelling older persons. JAMA, 279, 1720–1726.CrossRefGoogle ScholarPubMed
Pfeiffer, E. (1979). A short psychiatric evaluation schedule: a new 15-item monotonic scale indicative of functional psychiatric disorder. In Brain Function in Old Age (pp. 228–236). Berlin: Springer.Google Scholar
Radloff, L. S. (1977). The CES-D scale a self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.Google Scholar
Schafer, J. L. and Graham, J. W. (2002). Missing data: our view of the state of the art. Psychological Methods, 7, 147–177.Google Scholar
Schillerstrom, J. E., Royall, D. R. and Palmer, R. F. (2008). Depression, disability and intermediate pathways: a review of longitudinal studies in elders. Journal of Geriatric Psychiatry and Neurology, 21, 183–197.Google Scholar
Stock, J. H. and Watson, M. W. (2001). Vector autoregressions. Journal of Economic Perspectives, 101–115.Google Scholar
Stock, J. H. and Watson, M. W. (2008). Heteroskedasticity-robust standard errors for fixed effects panel data regression. Econometrica, 76, 155–174.Google Scholar
Taylor, M. G. and Lynch, S. M. (2004). Trajectories of impairment, social support, and depressive symptoms in later life. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 59, S238–246.Google Scholar
Turner, R. J. and Noh, S. (1988). Physical disability and depression: a longitudinal analysis. Journal of Health and Social Behavior, 23–37.Google Scholar
Verbrugge, L. M. and Jette, A. M. (1994). The disablement process. Social Science & Medicine, 38, 1–14.Google Scholar
World Health Organization (2001). International classification of functioning, disability and health: ICF., World Health Organization, Geneva.Google Scholar
Xue, Q.-L., Fried, L. P., Glass, T. A., Laffan, A. and Chaves, P. H. M. (2008). Life-space constriction, development of frailty, and the competing risk of mortality: the women's health and aging study I. American Journal of Epidemiology, 167, 240–248.Google Scholar
Yang, Y. (2006). How does functional disability affect depressive symptoms in late life? The role of perceived social support and psychological resources. Journal of Health and Social Behavior, 47, 355–372.Google Scholar
Yang, Y. and George, L. K. (2005). Functional disability, disability transitions, and depressive symptoms in late life. Journal of Aging and Health, 17, 263–292.Google Scholar
Yesavage, J. A. and Sheikh, J. I. (1986). Geriatric depression scale (GDS) recent evidence and development of a shorter version. Clinical Gerontologist, 5, 165–173.Google Scholar
Zigmond, A. S. and Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67, 361–370.Google Scholar
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