Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-19T06:24:30.324Z Has data issue: false hasContentIssue false

Severity of depressive symptoms as a predictor of mortality: the English longitudinal study of ageing

Published online by Cambridge University Press:  04 May 2015

J. White*
Affiliation:
School of Medicine, Cardiff University, Cardiff, UK
P. Zaninotto
Affiliation:
Department of Epidemiology and Public Health, University College London, London, UK
K. Walters
Affiliation:
Department of Primary Care and Population Health, University College London, London, UK
M. Kivimäki
Affiliation:
Department of Epidemiology and Public Health, University College London, London, UK
P. Demakakos
Affiliation:
Department of Epidemiology and Public Health, University College London, London, UK
A. Shankar
Affiliation:
Department of Epidemiology and Public Health, University College London, London, UK
M. Kumari
Affiliation:
Institute for Social and Economic Research, University of Essex, Colchester, UK
J. Gallacher
Affiliation:
School of Medicine, Cardiff University, Cardiff, UK
G. D. Batty
Affiliation:
Department of Epidemiology and Public Health, University College London, London, UK Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
*
*Address for correspondence: J. White, School of Medicine, Cardiff University, Cardiff CF14 4YS, UK. (Email: whitej11@cf.ac.uk)

Abstract

Background

Major depressive disorder and subthreshold depression have been associated with premature mortality. We investigated the association between depressive symptoms and mortality across the full continuum of severity.

Method

We used Cox proportional hazards models to examine the association between depressive symptom severity, assessed using the eight-item Center for Epidemiological Studies Depression Scale (CES-D; range 0–8), and the risk of all-cause mortality over a 9-year follow-up, in 11 104 members of the English Longitudinal Study of Ageing.

Results

During follow-up, one fifth of study members died (N = 2267). Depressive symptoms were associated with increased mortality across the full range of severity (ptrend < 0.001). Relative to study members with no symptoms, an increased risk of mortality was found in people with depressive symptoms of a low [hazard ratio (HR) for a score of 2 was 1.59, 95% confidence interval (CI) 1.40–1.82], moderate (score of 4: HR 1.80, 95% CI 1.52–2.13) and high (score of 8: HR 2.27, 95% CI 1.69–3.04) severity, suggesting risk emerges at low levels but plateaus thereafter. A third of participants (36.4%, 95% CI 35.5–37.3) reported depressive symptoms associated with an increased mortality risk. Adjustment for physical activity, physical illnesses, and impairments in physical and cognitive functioning attenuated this association (ptrend = 0.25).

Conclusions

Depressive symptoms are associated with an increased mortality risk even at low levels of symptom severity. This association is explained by physical activity, physical illnesses, and impairments in physical and cognitive functioning.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

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

Almeida, OP, Alfonso, H, Hankey, GJ, Flicker, L (2010). Depression, antidepressant use and mortality in later life: the health in men study. PLoS ONE 5, e11266.CrossRefGoogle ScholarPubMed
Banks, J, Breeze, E, Lessof, C, Nazroo, J (2006). Retirement, health and relationships of the older population in England: the 2004 English Longitudinal Study of Ageing (Wave 2). London: The Institute for Fiscal Studies.Google Scholar
Batty, GD, Der, G, Macintyre, S, Deary, IJ (2006). Does IQ explain socioeconomic inequalities in health? Evidence from a population based cohort study in the west of Scotland. British Medical Journal 332, 580584.CrossRefGoogle ScholarPubMed
Blazer, DG, Hybels, CF, Pieper, CF (2001). The association of depression and mortality in elderly persons: a case for multiple, independent pathways. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 56, M505M509.Google Scholar
Capuron, L, Raison, CL, Musselman, DL, Lawson, DH, Nemeroff, CB, Miller, AH (2003). Association of exaggerated HPA axis response to the initial injection of interferon-alpha with development of depression during interferon-alpha therapy. American Journal of Psychiatry 160, 13421345.Google Scholar
Cooney, GM, Dwan, K, Greig, CA, Lawlor, DA, Rimer, J, Waugh, FR, McMurdo, M, Mead, GE (2013). Exercise for depression. Cochrane Database of Systematic Reviews 9, CD004366.Google Scholar
Cox, DR (1972). Regression models and life-tables. Journal of the Royal Statistical Society. Series B (Methodological), 187220.Google Scholar
Cuijpers, P, Smit, F (2002). Excess mortality in depression: a meta-analysis of community studies. Journal of Affective Disorders 72, 227236.Google Scholar
Cuijpers, P, Vogelzangs, N, Twisk, J, Kleiboer, A, Li, J, Penninx, BW (2013). Differential mortality rates in major and subthreshold depression: meta-analysis of studies that measured both. British Journal of Psychiatry 202, 2227.Google Scholar
DiMatteo, MR, Lepper, HS, Croghan, TW (2000). Depression is a risk factor for noncompliance with medical treatment: meta-analysis of the effects of anxiety and depression on patient adherence. Archives of Internal Medicine 160, 21012107.Google Scholar
Dinan, TG (2009). Inflammatory markers in depression. Current Opinion in Psychiatry 22, 3236.Google Scholar
Everson-Rose, SA, House, JS, Mero, RP (2004). Depressive symptoms and mortality risk in a national sample: confounding effects of health status. Psychosomatic Medicine 66, 823830.CrossRefGoogle Scholar
Ganguli, M, Dodge, HH, Mulsant, BH (2002). Rates and predictors of mortality in an aging, rural, community-based cohort: the role of depression. Archives of General Psychiatry 59, 10461052.Google Scholar
Gisslinger, H, Svoboda, T, Clodi, M, Gilly, B, Ludwig, H, Havelec, L, Luger, A (1993). Interferon-alpha stimulates the hypothalamic-pituitary-adrenal axis in vivo and in vitro. Neuroendocrinology 57, 489495.Google Scholar
Hamer, M, Batty, GD, Marmot, MG, Singh-Manoux, A, Kivimaki, M (2011). Anti-depressant medication use and C-reactive protein: results from two population-based studies. Brain, Behavior, and Immunity 25, 168173.CrossRefGoogle ScholarPubMed
Hamer, M, Batty, GD, Seldenrijk, A, Kivimaki, M (2010). Antidepressant medication use and future risk of cardiovascular disease: the Scottish Health Survey. European Heart Journal 32, 437442.CrossRefGoogle ScholarPubMed
Hamer, M, Molloy, GJ, de Oliveira, C, Demakakos, P (2009). Leisure time physical activity, risk of depressive symptoms, and inflammatory mediators: the English longitudinal study of ageing. Psychoneuroendocrinology 34, 10501055.CrossRefGoogle ScholarPubMed
Hannestad, J, DellaGioia, N, Bloch, M (2011). The effect of antidepressant medication treatment on serum levels of inflammatory cytokines: a meta-analysis. Neuropsychopharmacology 36, 24522459.CrossRefGoogle ScholarPubMed
Houle, JN (2013). Depressive symptoms and all-cause mortality in a nationally representative longitudinal study with time-varying covariates. Psychosomatic Medicine 75, 297304.CrossRefGoogle Scholar
Miller, ME, Rejeski, WJ, Reboussin, BA, Ten Have, TR, Ettinger, WH (2000). Physical activity, functional limitations, and disability in older adults. Journal of the American Geriatrics Society; Journal of the American Geriatrics Society 48, 12641272.Google Scholar
Mindell, J, Biddulph, JP, Hirani, V, Stamatakis, E, Craig, R, Nunn, S, Shelton, N (2012). Cohort profile: the health survey for England. International Journal of Epidemiology 41, 15851593.CrossRefGoogle ScholarPubMed
Penninx, BHGS (1999). Minor and major depression and the risk of death in older persons. Archives of General Psychiatry 56, 889895.Google Scholar
Radloff, LS (1977). The CES-D scale A self-report depression scale for research in the general population. Applied Psychological Measurement 1, 385401.Google Scholar
Rose, D, Pevalin, DJ (2003). The NS-SEC Explained, A Researcher's Guide to the National Statistics Socio-economic Classification. Sage: London, pp. 2844.Google Scholar
Russ, TC, Stamatakis, E, Hamer, M, Starr, JM, Kivimaki, M, Batty, GD (2012). Association between psychological distress and mortality: individual participant pooled analysis of 10 prospective cohort studies. British Medical Journal 345, e4933e4933.Google Scholar
Ryan, J, Carriere, I, Ritchie, K, Stewart, R, Toulemonde, G, Dartigues, J-F, Tzourio, C, Ancelin, M-L (2008). Late-life depression and mortality: influence of gender and antidepressant use. British Journal of Psychiatry 192, 1218.CrossRefGoogle ScholarPubMed
Saz, P, Dewey, ME (2001). Depression, depressive symptoms and mortality in persons aged 65 and over living in the community: a systematic review of the literature. International Journal of Geriatric Psychiatry 16, 622630.Google Scholar
Scafato, E, Galluzzo, L, Ghirini, S, Gandin, C, Rossi, A, Solfrizzi, V, Panza, F, Di Carlo, A, Maggi, S, Farchi, G (2012). Changes in severity of depressive symptoms and mortality: the Italian longitudinal study on aging. Psychological Medicine 42, 26192629.Google Scholar
Schoevers, RA, Geerlings, MI, Deeg, DJH, Holwerda, TJ, Jonker, C, Beekman, ATF (2009). Depression and excess mortality: evidence for a dose response relation in community living elderly. International Journal of Geriatric Psychiatry 24, 169176.Google Scholar
Schulz, R, Beach, SR, Ives, DG, Martire, LM, Ariyo, AA, Kop, WJ (2000). Association between depression and mortality in older adults: the Cardiovascular Health Study. Archives of Internal Medicine 160, 17611768.Google Scholar
Steel, N, Huppert, FA, McWilliams, B, Melzer, D (2003). Physical and Cognitive Function: The 2002 English Longitudinal Study of Ageing. London: Institute for Fiscal Studies.Google Scholar
Steffick, DE, the HRS Health Working Group. (2000). Documentation of Affective Functioning Measures in the Health and Retirement Study, no. HRS/AHEAD Documentation Report DR-005Google Scholar
Steptoe, A, Breeze, E, Banks, J, Nazroo, J (2013). Cohort profile: the English longitudinal study of ageing. International Journal of Epidemiology 42, 16401648.Google Scholar
Sutin, AR, Terracciano, A, Milaneschi, Y, An, Y, Ferrucci, L, Zonderman, AB (2013). The trajectory of depressive symptoms across the adult life span. JAMA Psychiatry 70, 803811.Google Scholar
Turvey, CL, Wallace, RB, Herzog, R (1999). A revised CES-D measure of depressive symptoms and a DSM-Based measure of major depressive episodes in the elderly. International Psychogeriatrics 11, 139148.CrossRefGoogle Scholar
Van den Brink, CL, Tijhuis, M, van den Bos, GAM, Giampaoli, S, Nissinen, A, Kromhout, D (2005). The contribution of self-rated health and depressive symptoms to disability severity as a predictor of 10-year mortality in European elderly men. American Journal of Public Health 95, 20292034.Google Scholar
Von Elm, E, Altman, DG, Egger, M, Pocock, SJ, Gøtzsche, PC, Vandenbroucke, JP (2007). Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. British Medical Journal (Clinical Research Edition) 335, 806808.Google Scholar
White, IR, Royston, P, Wood, AM (2011). Multiple imputation using chained equations: issues and guidance for practice. Statistics in Medicine 30, 377399.Google Scholar
Wulsin, LR, Evans, JC, Vasan, RS, Murabito, JM, Kelly-Hayes, M, Benjamin, EJ (2005). Depressive symptoms, coronary heart disease, and overall mortality in the Framingham heart study. Psychosomatic Medicine 67, 697702.Google Scholar
Supplementary material: File

White supplementary material

Tables S1-S5 and Figure S1

Download White supplementary material(File)
File 129.1 KB