
doi: 10.1159/000286957
pmid: 20185969
during their lifetime in epidemiological studies using current criteria [4] . It is unlikely that a syndrome as polymorphic and widely diagnosed as major depressive disorder (MDD) will reflect a single process. Attempts to delineate different forms of depression by statistically analyzing the symptomatology of large samples of patients without taking into consideration life events or childhood history have been unsuccessful. It may be necessary to consider childhood trauma, marital and employment stress, and medical health in diagnosing subtypes of depression. Epidemiologic data on the effects of childhood trauma, unemployment and divorce on depression incidence are strong [5, 6] . DSM-IV does make one allowance for circumstances by including a bereavement exclusion [7] . However, it seems that bereavement is not different from other losses and stresses that are associated with depression [8] . The pharmacotherapy of depression offers a plethora of medications. However, depression is often resistant to standard antidepressant medication, and a large percentage of patients respond just as well to placebo [9, 10] . The DSM broad diagnosis of MDD does not encourage a search for subtypes of depression that may require specific treatment. The current diagnostic system may be partly responsible for the rising placebo response rates and increasing numbers of subjects required to demonstrate efficacy in ever larger clinical trials. Introduction
Diagnostic and Statistical Manual of Mental Disorders, Life Change Events, Depressive Disorder, Major, Family Conflict, Risk Factors, Health Status, Humans, Job Satisfaction, Bereavement
Diagnostic and Statistical Manual of Mental Disorders, Life Change Events, Depressive Disorder, Major, Family Conflict, Risk Factors, Health Status, Humans, Job Satisfaction, Bereavement
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 99 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
