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Is depression really different in older people?

Published online by Cambridge University Press:  09 July 2013

Alan Thomas*
Affiliation:
Institute for Ageing and Health, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK Email: [email protected]
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Extract

As politicians and pollsters are well aware, it is easy enough to get different answers to the same question by adjusting the details of the question posed. So I clarify at the outset that I am not considering depression in the broadest sense of any depression occurring in any older person. It seems self-evident that differences are present when defined this way; that is, this includes people with depression in dementia, post-stroke depression, depression in the context of other chronic illnesses and so any assessment of clinical or biological factors would yield differences (in cognition, physical symptoms, and so on) compared to a similar sample of depression in all younger adults. Rather I focus the question on unipolar major depressive disorder (MDD). This is because if there are no differences in late-life MDD compared with younger adults, then it seems unlikely that such differences are present in broader constructs of unipolar disorder (minor depression and dysthymia) and pragmatically because this more tightly defined group has been better assessed. A problem in addressing this question is that relatively few studies have directly compared aspects of depression in older and younger people. Thus, the answer will necessarily be limited and subject to a potential “absence of evidence” error. Here, three key areas of evidence where such comparisons have been made will be examined.

Type
Guest Editorial
Copyright
Copyright © International Psychogeriatric Association 2013 

As politicians and pollsters are well aware, it is easy enough to get different answers to the same question by adjusting the details of the question posed. So I clarify at the outset that I am not considering depression in the broadest sense of any depression occurring in any older person. It seems self-evident that differences are present when defined this way; that is, this includes people with depression in dementia, post-stroke depression, depression in the context of other chronic illnesses and so any assessment of clinical or biological factors would yield differences (in cognition, physical symptoms, and so on) compared to a similar sample of depression in all younger adults. Rather I focus the question on unipolar major depressive disorder (MDD). This is because if there are no differences in late-life MDD compared with younger adults, then it seems unlikely that such differences are present in broader constructs of unipolar disorder (minor depression and dysthymia) and pragmatically because this more tightly defined group has been better assessed. A problem in addressing this question is that relatively few studies have directly compared aspects of depression in older and younger people. Thus, the answer will necessarily be limited and subject to a potential “absence of evidence” error. Here, three key areas of evidence where such comparisons have been made will be examined.

Clinical features of late-life depression

It is frequently said that the symptoms of depression are different in older people but reviewing the literature, Baldwin Reference Baldwin(1994) concluded that there was little evidence for phenomenological differences between older and younger depressed patients and a more recent review of phenomenology found only a few modest differences in symptoms identified using the Hamilton Depression Rating Scale (Hegeman et al., Reference Hegeman, Kok, van der Mast and Giltay2012). Whilst some studies have reported differences compared with younger adults, e.g. increased delusions, agitation, and appetite loss (Brodaty et al., Reference Brodaty2001), or decreases in hypersomnia, pessimism, and irritability (Husain et al., Reference Husain2005), such findings are rarely replicated and often emanate from specialist centers. Again, it is often thought that late-onset depression (LOD) has a different symptom profile but this also does not appear to be the case with three studies of inpatients reporting no differences between people with early-onset depression (EOD) and LOD (Brodaty et al., Reference Brodaty1997; Reference Brodaty2001; Alvarez et al., Reference Alvarez, Urretavizcaya, Benlloch, Vallejo and Menchon2011). The only clinical features repeatedly reported as different in late-life MDD are aspects of neurocognitive impairment, especially impairment in information processing, memory, and executive function, e.g. (Butters et al., Reference Butters2004; Kohler et al., Reference Kohler, Thomas, Barnett and O’Brien2010a; Vasudev et al., Reference Vasudev2012), though such cognitive impairments are of course not symptoms used in the diagnosis of depression. A systematic review of the literature comparing the neuropsychological profile of LOD and EOD and healthy controls found that the MDD groups were impaired in all domains versus controls but that LOD had greater deficits in executive function and processing speed compared with EOD (Herrmann et al., Reference Herrmann, Goodwin and Ebmeier2007). This raises the question as to whether this greater severity of cognitive impairment is simply due to aging effects, since the domains characteristically impaired in depression also decline with age. This does not seem to be the case. Studies which have carefully excluded people with early dementia and compared older and younger adults with MDD matched for depression severity have found that even after controlling for the age-related increase in impairment adults with late-life depression have more severe impairments in memory and executive functions (Lockwood et al., Reference Lockwood, Alexopoulos and van Gorp2002; Thomas et al., Reference Thomas2009). However, apart from these neurocognitive deficits the clinical features of late-life MDD do not seem to be different in older people.

Neurobiology of late-life depression

In a few areas, researchers have examined key neurobiological aspects of MDD and made comparisons between younger and older adults. The genetic contribution to late-life depression is often said to decrease with age. However, whilst earlier clinical studies comparing LOD with EOD have usually reported that the former has fewer relatives with depression (reviewed in Levinson Reference Levinson(2006)), a twin study found no change in the heritability of depression with increasing age (Johnson et al., Reference Johnson, McGue, Gaist, Vaupel and Christensen2002) and neither did a Genome Wide Association Study (GWAS) of over 3,500 participants (Demirkan et al., Reference Demirkan2011). Thus, it is unclear whether late-life MDD does have a lower genetic contribution. Many studies have demonstrated that MRI white matter hyperintensities (WMH) are more severe in late-life depression and this is especially the case for LOD (Herrmann et al., Reference Herrmann, Masurier and Ebmeier2008). Postmortem studies have confirmed that these lesions are ischaemic (Thomas et al., Reference Thomas, Perry, Barber, Kalaria and O’Brien2002; Reference Thomas, Perry, Kalaria, Oakley, McMeekin and O’Brien2003) and they have been related to the neurocognitive impairments characteristic of depression (Sheline et al., Reference Sheline2008). Structural studies have identified specific areas of the prefrontal cortex as reduced in volume, and functional imaging has confirmed that these areas have reduced activity and/or blood flow in depression. However, studies have not examined differences by age, although a few have reported that LOD has greater volume reductions (Parashos et al., Reference Parashos, Tupler, Blitchington and Krishnan1998; Andreescu et al., Reference Andreescu2008). This neuroimaging evidence has led to postmortem neuropathological investigations seeking to identify the cellular correlates of these abnormalities. In younger adults, such studies have consistently reported reductions in glial density in MDD but, in contrast, studies of late-life MDD have reported no evidence of reduced glial density in prefrontal and subcortical areas but have found abnormalities in pyramidal neurons (Khundakar and Thomas, Reference Khundakar and Thomas2009; Khundakar et al., Reference Khundakar, Morris, Oakley and Thomas2011a; Reference Khundakar, Morris, Oakley and Thomas2011b). These prefrontal pyramidal neurons are mainly glutamatergic and, as well as projecting to other cortical areas, also project to the striatum, and it may be that ischaemic WMH affect the axons of these neurons inducing these subtle changes. So these different lines of research show WMH are definitely more severe in late-life depression and there may be cellular and volumetric changes in key frontal–subcortical areas which could be related to these.

Treatment response in late-life depression

Studies directly comparing response and remission to antidepressants in older and middle-aged depressed adults have not found any overall differences (Alexopoulos et al., Reference Alexopoulos1996; Reynolds et al., Reference Reynolds1996), though people with LOD seem to have a slower response (Alexopoulos et al., Reference Alexopoulos1996; Whyte et al., Reference Whyte2004). One review of the literature reached the same conclusion (Whyte et al., Reference Whyte2004) and another agreeing that depression remitted as frequently in later life found that it was associated with a higher relapse rate (Mitchell and Subramaniam, Reference Mitchell and Subramaniam2005). However, these findings may only be valid in older adults who are healthy and cognitively intact, i.e. biologically like younger adults, since these were the type of participants included in the relevant trials. Other evidence demonstrates that WMH are associated with a poorer response to antidepressants (e.g. Alexopoulos et al., Reference Alexopoulos2008; Sneed et al., Reference Sneed2011), poorer longer term outcome and increased relapse rates (Hickie et al., Reference Hickie, Scott, Wilhelm and Brodaty1996; O’Brien et al., Reference O’Brien, Ames, Chiu, Schweitzer, Desmond and Tress1998), and persistent cognitive impairment up to four years (Kohler et al., Reference Kohler, Thomas, Lloyd, Barber, Almeida and O’Brien2010b). Since WMH are associated with cognitive impairment this too is associated with a poorer response to antidepressants and increased relapse rates (Kalayam and Alexopoulos, Reference Kalayam and Alexopoulos1999; Alexopoulos et al., Reference Alexopoulos2000). Studies have also directly compared electroconvulsive therapy (ECT) by age and similarly, in selected patients typical of those receiving ECT, reported ECT to have at least as large a benefit in older adults with no age-associated increase in adverse effects (Tew et al., Reference Tew1999; O’Connor et al., Reference O’Connor2001). Thus, in the absence of cognitive impairment and/or WMH, people with depression in old age appear to respond as well to antidepressants and ECT. The situation is likely to be the same for psychological treatments.

Is depression really different?

The editorial title is ambiguous and is actually two different questions, which are often conflated like this. It can mean: “is it true, as is often stated, that depression in older people is different from depression in younger people?” Or it could mean: “assuming depression is different, is this difference in depression in older people substantial, that is clinically important?” For core depressive symptoms, there do not seem to be any differences and even if there are such differences, these appear to be clinically unimportant. An important caveat is that the symptom profile examined may be one characteristic of depression in younger adults and there may be other symptoms, e.g. apathy or agitation, which are not used in diagnosis and so have not usually been assessed but which are more prominent in older people. Thus, neurocognitive deficits, which are not diagnostic clinical features and are the only ones adequately studied, are more severe in older adults. These clinical differences in neurocognitive deficits are related to the most robust neurobiological difference, a higher burden of MRI WMH. But are these “really different?” Determining what constitutes a clinically important difference is open to debate but cognitive deficits were of moderate effect size (0.56 for executive function, 0.58 for processing speed, and 0.44 for episodic memory versus controls (Herrmann et al., Reference Herrmann, Goodwin and Ebmeier2007)) and similar or larger effect sizes were found for the increased burden of WMH (Herrmann et al., Reference Herrmann, Masurier and Ebmeier2008). This strongly suggests they are clinically important and this is supported by the evidence demonstrating that both WMH and these related cognitive deficits are associated with a poorer treatment response and worse clinical outcomes. Thus, in this way MDD is “really different” in older adults. But in the absence of a significant burden of WMH and these deficits, MDD in older adults appears to be similar to MDD in younger adults. Such an answer begs the question of what is a ‘“significant burden of WMH,” since WMH are nearly universal in older people, and how much cognitive impairment needs to be present to adversely affect outcomes. One study found it was those in the highest quartile of WMH burden who had poorer response to antidepressants (Sneed et al., Reference Sneed2011). However, this is difficult to translate into regular clinical practice and a more pragmatic answer is that a WMH score of 2 or more on the modified Fazekas rating scale distinguished between “vascular” and “non-vascular” subgroups of late-life MDD (Sneed et al., Reference Sneed, Rindskopf, Steffens, Krishnan and Roose2008) and may represent this poorer outcome subgroup. For executive dysfunction, the problem of translating into clinical practice is more acute since regular clinic “bedside” tests do not provide a detailed enough assessment to relate to research findings. In conclusion, whilst evidence supports a real and important difference in at least a subgroup of depression in older people, it is difficult at the current time to translate these findings into routine clinical practice.

Conflict of interest

None.

Acknowledgment

The research supported by the National Institute for Health Research (NIHR) Newcastle Biomedical Research Centre based at The Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University. The views expressed are those of the author and not necessarily those of the NHS, the NIHR, or the Department of Health.

References

Alexopoulos, G. S.et al. (1996). Recovery in geriatric depression. Archives of General Psychiatry, 53, 305312.CrossRefGoogle ScholarPubMed
Alexopoulos, G. S.et al. (2000). Executive dysfunction and long-term outcomes of geriatric depression. Archives of General Psychiatry, 57, 285290.CrossRefGoogle ScholarPubMed
Alexopoulos, G. S.et al. (2008). Microstructural white matter abnormalities and remission of geriatric depression. American Journal of Psychiatry, 165, 238244.CrossRefGoogle ScholarPubMed
Alvarez, P., Urretavizcaya, M., Benlloch, L., Vallejo, J. and Menchon, J. M. (2011). Early- and late-onset depression in the older: no differences found within the melancholic subtype. International Journal of Geriatric Psychiatry, 26, 615621.CrossRefGoogle ScholarPubMed
Andreescu, C.et al. (2008). Gray matter changes in late life depression – a structural MRI analysis. Neuropsychopharmacology, 33, 25662572.CrossRefGoogle ScholarPubMed
Baldwin, R. C. (1994). Is there a distinct type of major depression in the elderly? Journal of Psychopharmacology, 8, 177184.CrossRefGoogle Scholar
Brodaty, H.et al. (1997). Increased rate of psychosis and psychomotor change in depression with age. Psychological Medicine, 27, 12051213.CrossRefGoogle ScholarPubMed
Brodaty, H.et al. (2001). Early and late onset depression in old age: different aetiologies, same phenomenology. Journal of Affective Disorders, 66, 225236.CrossRefGoogle ScholarPubMed
Butters, M. A.et al. (2004). The nature and determinants of neuropsychological functioning in late-life depression. Archives of General Psychiatry, 61, 587595.CrossRefGoogle ScholarPubMed
Demirkan, A.et al. (2011). Genetic risk profiles for depression and anxiety in adult and elderly cohorts. Molecular Psychiatry, 16, 773783.CrossRefGoogle ScholarPubMed
Hegeman, J., Kok, R., van der Mast, R. and Giltay, E. (2012). Phenomenology of depression in older compared with younger adults: meta-analysis. British Journal of Psychiatry, 200, 275281.CrossRefGoogle ScholarPubMed
Herrmann, L. L., Goodwin, G. M. and Ebmeier, K. P. (2007). The cognitive neuropsychology of depression in the elderly. Psychological Medicine, 37, 16931702.CrossRefGoogle ScholarPubMed
Herrmann, L. L., Le Masurier, M. and Ebmeier, K. P. (2008). White matter hyperintensities in late life depression: a systematic review. Journal of Neurology, Neurosurgery and Psychiatry, 79, 619624.CrossRefGoogle ScholarPubMed
Hickie, I., Scott, E., Wilhelm, K. and Brodaty, H. (1996). Subcortical hyperintensities on magnetic resonance imaging in patients with severe depression-a longitudinal evaluation. Biological Psychiatry, 42, 367374.CrossRefGoogle Scholar
Husain, M. M.et al. (2005). Age-related characteristics of depression: a preliminary STAR*D report. American Journal of Geriatric Psychiatry, 13, 852860.CrossRefGoogle ScholarPubMed
Johnson, W., McGue, M., Gaist, D., Vaupel, J. W. and Christensen, K. (2002). Frequency and heritability of depression symptomatology in the second half of life: evidence from Danish twins over 45. Psychological Medicine, 32, 11751185.CrossRefGoogle ScholarPubMed
Kalayam, B. and Alexopoulos, G. S. (1999). Prefrontal dysfunction and treatment response in geriatric depression. Archives of General Psychiatry, 56, 713718.CrossRefGoogle ScholarPubMed
Khundakar, A. and Thomas, A. J. (2009). Morphometric changes in early and late-life major depressive disorder: evidence from postmortem studies. International Psychogeriatrics, 21, 844854.CrossRefGoogle ScholarPubMed
Khundakar, A., Morris, C., Oakley, A. and Thomas, A. J. (2011a). Morphometric analysis of neuronal and glial cell pathology in the caudate nucleus in late-life depression. American Journal of Geriatric Psychiatry, 19, 132141.CrossRefGoogle ScholarPubMed
Khundakar, A., Morris, C., Oakley, A. and Thomas, A. J. (2011b). A morphometric examination of neuronal and glial cell pathology in the orbitofrontal cortex in late-life depression. International Psychogeriatrics, 23, 132140.CrossRefGoogle ScholarPubMed
Kohler, S., Thomas, A. J., Barnett, N. A. and O’Brien, J. T. (2010a). The pattern and course of cognitive impairment in late-life depression. Psychological Medicine, 40, 591602.CrossRefGoogle ScholarPubMed
Kohler, S., Thomas, A. J., Lloyd, A., Barber, R., Almeida, O. P. and O’Brien, J. T. (2010b). White matter hyperintensities, cortisol levels, brain atrophy and continuing cognitive deficits in late-life depression. British Journal of Psychiatry, 196, 143149.CrossRefGoogle ScholarPubMed
Levinson, D. F. (2006). The genetics of depression: a review. Biological Psychiatry, 60, 8492.CrossRefGoogle ScholarPubMed
Lockwood, K. A., Alexopoulos, G. S. and van Gorp, W. G. (2002). Executive dysfunction in geriatric depression. American Journal of Psychiatry, 159, 11191126.CrossRefGoogle ScholarPubMed
Mitchell, A. J. and Subramaniam, H. (2005). Prognosis of depression in old age compared to middle age: a systematic review of comparative studies. American Journal of Psychiatry, 162, 15881601.CrossRefGoogle ScholarPubMed
O’Brien, J., Ames, D., Chiu, E., Schweitzer, I., Desmond, P. and Tress, B. (1998). Severe deep white matter lesions and outcome in elderly patients with major depressive disorder: follow up study. BMJ, 317, 982984.CrossRefGoogle ScholarPubMed
O’Connor, M. K.et al. (2001). The influence of age on the response of major depression to electroconvulsive therapy: a C.O.R.E. Report. American Journal of Geriatric Psychiatry, 9, 382390.CrossRefGoogle ScholarPubMed
Parashos, I. A., Tupler, L. A., Blitchington, T. and Krishnan, K. R. (1998). Magnetic-resonance morphometry in patients with major depression. Psychiatry Research, 84, 715.CrossRefGoogle ScholarPubMed
Reynolds, C. F.et al. (1996). Treatment outcome in recurrent major depression: a post hoc comparison of elderly (“young old”) and midlife patients. American Journal of Psychiatry, 153, 12881292.Google ScholarPubMed
Sheline, Y. I.et al. (2008). Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors. American Journal of Psychiatry, 165, 524532.CrossRefGoogle ScholarPubMed
Sneed, J. R., Rindskopf, D., Steffens, D. C., Krishnan, K. R. R. and Roose, S. P. (2008). The vascular depression subtype: evidence of internal validity. Biological Psychiatry, 64, 491497.CrossRefGoogle ScholarPubMed
Sneed, J. R.et al. (2011). MRI signal hyperintensities and failure to remit following antidepressant treatment. Journal of Affective Disorders, 135, 315320.CrossRefGoogle ScholarPubMed
TewJ. D., Jr. J. D., Jr.et al. (1999). Acute efficacy of ECT in the treatment of major depression in the old-old. American Journal of Psychiatry, 156, 18651870.CrossRefGoogle ScholarPubMed
Thomas, A. J., Perry, R. H., Barber, R., Kalaria, R. and O’Brien, J. T. (2002). Pathologies and pathological mechanisms for white matter hyperintensities in depression. Annals of New York Academy of Sciences, 977, 333339.CrossRefGoogle ScholarPubMed
Thomas, A. J., Perry, R., Kalaria, R. N., Oakley, A., McMeekin, W. and O’Brien, J. T. (2003). Neuropathological evidence for ischemia in the white matter of the dorsolateral prefrontal cortex in late-life depression. International Journal of Geriatric Psychiatry, 18, 713.CrossRefGoogle ScholarPubMed
Thomas, A. J.et al. (2009). A comparison of neurocognitive impairment in younger and older adults with major depression. Psychological Medicine, 39, 725733.CrossRefGoogle ScholarPubMed
Vasudev, A.et al. (2012). Relationship between cognition, magnetic resonance white matter hyperintensities, and cardiovascular autonomic changes in late-life depression. American Journal of Geriatric Psychiatry, 20, 691699.CrossRefGoogle ScholarPubMed
Whyte, E. M.et al. (2004). Time course of response to antidepressants in late-life major depression: therapeutic implications. Drugs and Aging, 21, 531554.CrossRefGoogle ScholarPubMed