Literature DB >> 21750622

The increasing burden of depression.

Jean-Pierre Lépine1, Mike Briley.   

Abstract

Recent epidemiological surveys conducted in general populations have found that the lifetime prevalence of depression is in the range of 10% to 15%. Mood disorders, as defined by the World Mental Health and the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, have a 12-month prevalence which varies from 3% in Japan to over 9% in the US. A recent American survey found the prevalence of current depression to be 9% and the rate of current major depression to be 3.4%. All studies of depressive disorders have stressed the importance of the mortality and morbidity associated with depression. The mortality risk for suicide in depressed patients is more than 20-fold greater than in the general population. Recent studies have also shown the importance of depression as a risk factor for cardiovascular death. The risk of cardiac mortality after an initial myocardial infarction is greater in patients with depression and related to the severity of the depressive episode. Greater severity of depressive symptoms has been found to be associated with significantly higher risk of all-cause mortality including cardiovascular death and stroke. In addition to mortality, functional impairment and disability associated with depression have been consistently reported. Depression increases the risk of decreased workplace productivity and absenteeism resulting in lowered income or unemployment. Absenteeism and presenteeism (being physically present at work but functioning suboptimally) have been estimated to result in a loss of $36.6 billion per year in the US. Worldwide projections by the World Health Organization for the year 2030 identify unipolar major depression as the leading cause of disease burden. This article is a brief overview of how depression affects the quality of life of the subject and is also a huge burden for both the family of the depressed patient and for society at large.

Entities:  

Keywords:  DALY; depression; economic burden; epidemiology; family burden; mortality risk

Year:  2011        PMID: 21750622      PMCID: PMC3131101          DOI: 10.2147/NDT.S19617

Source DB:  PubMed          Journal:  Neuropsychiatr Dis Treat        ISSN: 1176-6328            Impact factor:   2.570


Introduction

Depression is a common disorder, affecting over 120 million people worldwide. Recent epidemiological surveys conducted in general populations have found that the lifetime prevalence of depression is in the range of 10% to 15%. Mood disorders as defined by the World Mental Health (WMH) and the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) have a 12-month prevalence which varies from 3% in Japan to over 9% in the US.1 Although disorder severity correlates with the probability of treatment in almost all countries, 35.5% to 50.3% of serious cases in developed countries and 76.3% to 85.4% in less-developed countries received no treatment in the 12 months preceding the interview. The US Centers for Disease Control (CDC) 2006 and 2008 surveys of 235,067 adults from 45 states plus the District of Columbia, Puerto Rico, and US Virgin Islands found the rate of current depression (using the Patient Health Questionaire-8) to be 9% and the rate of those with a current diagnosis of major depression (DSM-IV criteria) to be 3.4%.2 The high female:male sex ratio in the prevalence of depression, especially during the reproductive years, is one of the most replicated findings in epidemiology.3 French data from the European Study of the Epidemiology of Mental disorders (ESEMeD) supported this finding – that globally, approximately twice as many women suffered from depression as men. This distribution was true across all age groups with the single exception of the 18 to 24 years age group where there was approximate parity between the sexes (Lépine unpublished data). A reduction of the classical female:male odds ratio for major depressive disorder was also found in the younger age group (18–34) compared with other age groups in a recent analysis of worldwide surveys.4 These authors suggest that the relative decrease in the prevalence of depression in women may be the result of the increase in female opportunities in education, employment, birth control, and other factors increasing gender equality. It will be interesting to see if the more equilibrated female:male sex ratio will persist as this younger cohort ages.

Burden of depression

Even when successfully treated and remission is achieved, depressive disorders still impose a considerable burden on the patient. Remission is rarely accompanied by a total disappearance of all symptoms. Residual symptoms, especially cognitive impairment or social dysfunction, can continue to reduce performance and cause considerable distress. The ever-present risk of relapse and recurrence also weighs heavily generally reducing the quality of life. A recent review5 reported that the rate of recurrence of major depressive disorder treated in specialized mental health settings was very high (60% after 5 years, 67% after 10 years, and 85% after 15 years) but was significantly lower in the primary care population (35% after 15 years). As found in other studies6 the number of previous episodes and subclinical residual symptoms were the most important predictors of relapse.

Increased mortality risk

The burden of depressive disorder extends far beyond the disorder itself (Table 1) influencing the mortality risk of the patient. The standardized mortality ratio (SMR) for suicide in patients with unipolar depression is 20.9 in men and 27.0 in women.7 In other terms, depressed men and women are 20.9 and 27 times, respectively, more likely to commit suicide than the general population. A 2000 meta-analysis of deaths by suicide concluded that there was a hierarchy in the lifetime prevalence of suicide among patients with affective disorders (Table 2), with patients hospitalized for attempted suicide having an almost 20-fold greater prevalence than subjects who had never had any affective illness.8
Table 1

Burden of depression

Classical burden

Residual symptoms

Cognitive impairment

Relapse and recurrence

Decreased quality of life

Mortality burden

Suicide

Cardio- and cerebrovascular

Disability burden

Psychosocial

Work days lost

Family burden
Economic burden
Table 2

Affective disorders and suicide risk

Lifetime prevalence of suicide in patients
• Hospitalized at some time in their life for suicidality8.6%
• Affective disorders inpatients4.0%
• Affective disorders outpatients2.2%
• No affective illness<0.5%

Compiled from data in reference 8.

The risk of cardiac mortality after an initial myocardial infarction is greater in patients with depression and this risk is related to the severity of the depressive episode. A study of 896 patients hospitalized for myocardial infarction found a direct relationship between the severity of the depressive symptoms as measured by the Beck Depression Inventory Score at hospitalization and the risk of cardiac death over the following 5 years.9 Similarly, a meta-analysis of 20 studies10 has shown that clinical depression is a significant risk factor for mortality in patients with coronary heart disease both short-term (3–6 months; adjusted odds ratio 2.07) and long-term (6–24 months; adjusted odds ratio 2.61). Another study evaluated long-term mortality risks measured at middle age among 12,866 men with a high risk for coronary heart disease. Greater depressive symptoms were found to be associated with significantly higher risk of all-cause mortality and a higher risk of cardiovascular death and, more specifically, stroke mortality.11 Even the risk of death by all causes is increased in depressed patients who are twice as likely to die prematurely compared with the general population (SMR 1.9 men; 2.1 women).7 A study of a cohort of 5276 community-dwelling elderly men (aged 68–88 years) in Perth, Australia investigated the 883 deaths (from all causes) occurring during the 6-year follow-up period.12 The adjusted mortality hazard (MH) of men with clinical depression was nearly twice (MH = 1.98) that of the total cohort. Furthermore MH increased with the severity of depression from 1.39 for borderline depression to 3.32 for severe depression. The use of antidepressants did not reduce the mortality risk. Further evidence of increased all cause mortality risk in psychiatric patients has come from study of the GAZEL cohort.13 The French GAZEL cohort (n = 19,962 aged 35–50) used data from the medical department of the French utility company Electricité de France-Gaz de France. Physician-certified sickness absence records (>7 days) were extracted from administrative files (1990–1992) and were linked to mortality data from France’s national registry of mortality (1993–2008, mean follow-up: 15.5 years). Compared with workers with no sickness absence, those absent due to psychiatric disorders had an increased risk of death from suicide, from cardiovascular disease, and from smoking-related cancer (Table 3).
Table 3

Sickness absence due to psychiatric disorder and mortality

HRAdjusted HR
Suicide6.015.13
Cardiovascular disease1.841.59
Smoking-related cancer1.651.31

Notes: HR = hazard ratio over a mean of 15.5 years in workers with absence (>7 days) due to a psychiatric disorder compared with workers with no sickness absence. Adjusted HR, adjusted for marital status, tobacco smoking, and alcohol use. Based on data from the French GAZEL cohort (n = 19,962 aged 35–50 years) and the French national registry of mortality (1993–2008). Compiled from data in reference 13.

Functional burden

An analysis of data from the National Comorbidity Survey Replication, a US nationally representative household survey,14 found that overall impairment was significantly higher for mental disorders than for chronic medical disorders. Severe functional impairment was reported by 42% persons with mental disorders and 24% with chronic medical disorders. Treatment, however, was provided for a significantly lower proportion of mental (21.4%) than chronic medical (58.2%) disorders. Whereas chronic medical disorders are most likely to be associated with impairment in domains of work and home functioning, mental disorders are most commonly associated with problems of social interaction and close relationships. Psychosocial disability is related to depressive symptom severity during the long-term course of unipolar major depression (MD).15 In a study of 371 patients with unipolar MD in the National Institute of Mental Health Collaborative Depression Study, monthly ratings of impairment in life functions and social relationships over an average of 10 years’ follow-up were found to be associated with a degree of depressive symptom severity. Significant increases in disability occurred with each stepwise increment in depressive symptom severity (asymptomatic > subthreshold depressive symptoms > symptoms at the minor depression/dysthymia level > symptoms at the MD level). Depression is also associated with decreased productivity in the workplace and an increased risk of absenteeism from work.16 One study followed 2334 participants, who were employed full or part time and who reported an annual family income of at least US$25,000, over a 5 years. The presence of clinical depression, defined as a score ≥16 on the CES depression scale, was related to increased unemployment and decreased annual salary.17 Over the 5-year follow-up period 33% of depressed participants reported new unemployment compared with 21% of nondepressed participants. After correction for confounding factors the association remained highly significant (odds ratio, 1.6 P = 0.001); 17% of participants with depressive symptoms and 7% of participants without substantial depressive symptoms at baseline reported that their family income had decreased below US$25,000 5 years later. This association remained significant after adjusting for potential confounding variables (odds ratio, 1.9 P < 0.001). The National Comorbidity Survey Replication18 found that taking into account both absenteeism and presenteeism (being physically present at work but functioning suboptimally) an average of over 27 workdays per year were lost per depressed employee representing an annual individual loss of US$4400. At a national level, this translates into a loss of US$36.6 billion per year in the US.

Family burden

Problems of social dysfunction,19 decreased income resulting from workplace absenteeism, underperformance or unemployment (see above) are a burden for the patient and the patient’s partner and family. At a time when the depressed patient is at greatest need of social support, depression tends to disrupt family stability frequently leading to separation or divorce. The link between depression and divorce can be bi-directional. A study using the longitudinal component of the Canadian National Population Health Survey (1994/1995 through 2004/2005) examined the relationship between the dissolution of a marital or cohabiting relationship and subsequent depression among Canadians aged 20 to 64 years.20 For both sexes, dissolution of a marriage or cohabiting relationship was associated with higher odds of a new episode of depression, compared with those who remained with a spouse or partner over the 2-year period following the depressive episode. Marital dissolution was more strongly associated with depression among men than among women. Depression in women during pregnancy is common. Prevalence rates have been reported to be 7.4%, 12.8%, and 12.0% for the first, second, and third trimesters, respectively.21,22 Other studies have shown that 10% to 16% of pregnant women fulfill the diagnostic criteria for MD, and even more women experience subsyndromal depressive symptoms.23 Some of the numerous risks of maternal depression for the fetus, the newborn baby, and its subsequent development are summarized in Table 4.
Table 4

Burden of maternal depression fetal risks

Fetal risks
Spontaneous abortion
Preterm delivery
Lower birth weight
Neonatal risks
More probable admission to neonatal intensive care
Lower Apgar scores
Child developmental risks
Negative effect on maternal–infant bonding
Difficulties with affect regulation (tantrums …)
Delays in cognitive development
Behavioral and emotional difficulties
Maladaptive social interactions

Based on data from references 22, 26, and 27.

DALY measurements and predictions

DALY, disability adjusted life-years, is the sum of life-years lost due to premature death and years lived with disability adjusted for severity.23 It integrates the notions of individual mortality and disability with global disease prevalence. Using the DALY, unipolar MD was classed in 1990, as the fourth leading burden of disease or injury cause worldwide for both sexes, behind lower respiratory infections, diarrheal diseases, and perinatal disorders.24 By 2004 it had moved up to third place and World Health Organization projections25 estimate that it will be the leading cause of disease burden worldwide by 2030.

Conclusion

Depression has a high prevalence worldwide in both developed and developing countries. In addition to the profound effects on the quality of life of the patient, depression has a major impact on mortality risk by suicide, and on cardiovascular and other diseases as well as death by all causes. Depression impairs cognitive and social functioning leading to decreased performance in the workplace and elsewhere. This dysfunction has considerable economic impact on the individual, his or her family, his or her employer, and on society at large. Depression, especially maternal depression, affects the health and development of the baby with possible long-term consequences for the mental health of future generations. In view of the profound and widespread burden caused by depression it is hardly surprising that analysis of DALYs puts depression among the leading causes of burden of diseases worldwide. As the infectious diseases, especially in developing countries, are progressively controlled, depression is predicted to become the major health burden worldwide. Thus prevention and treatment of depression must be seen as a priority medical challenge for the 21st century.
  27 in total

1.  Affective disorders and suicide risk: a reexamination.

Authors:  J M Bostwick; V S Pankratz
Journal:  Am J Psychiatry       Date:  2000-12       Impact factor: 18.112

2.  Depression and anxiety in pregnancy.

Authors:  Alicja Fishell
Journal:  J Popul Ther Clin Pharmacol       Date:  2010-10-26

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Authors:  F Hardeveld; J Spijker; R De Graaf; W A Nolen; A T F Beekman
Journal:  Acta Psychiatr Scand       Date:  2009-12-11       Impact factor: 6.392

Review 4.  Perinatal risks of untreated depression during pregnancy.

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Journal:  Can J Psychiatry       Date:  2004-11       Impact factor: 4.356

5.  Depressive symptoms and mortality in men: results from the Multiple Risk Factor Intervention Trial.

Authors:  Brooks B Gump; Karen A Matthews; Lynn E Eberly; Yue-fang Chang
Journal:  Stroke       Date:  2004-11-29       Impact factor: 7.914

6.  Psychosocial disability during the long-term course of unipolar major depressive disorder.

Authors:  L L Judd; H S Akiskal; P J Zeller; M Paulus; A C Leon; J D Maser; J Endicott; W Coryell; J L Kunovac; T I Mueller; J P Rice; M B Keller
Journal:  Arch Gen Psychiatry       Date:  2000-04

7.  Prediction of recurrence in recurrent depression: a 5.5-year prospective study.

Authors:  Mascha C ten Doesschate; Claudi L H Bockting; Maarten W J Koeter; Aart H Schene
Journal:  J Clin Psychiatry       Date:  2010-08       Impact factor: 4.384

8.  Does sickness absence due to psychiatric disorder predict cause-specific mortality? A 16-year follow-up of the GAZEL occupational cohort study.

Authors:  Maria Melchior; Jane E Ferrie; Kristina Alexanderson; Marcel Goldberg; Mika Kivimaki; Archana Singh-Manoux; Jussi Vahtera; Hugo Westerlund; Marie Zins; Jenny Head
Journal:  Am J Epidemiol       Date:  2010-08-23       Impact factor: 4.897

9.  Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys.

Authors:  Koen Demyttenaere; Ronny Bruffaerts; Jose Posada-Villa; Isabelle Gasquet; Viviane Kovess; Jean Pierre Lepine; Matthias C Angermeyer; Sebastian Bernert; Giovanni de Girolamo; Pierluigi Morosini; Gabriella Polidori; Takehiko Kikkawa; Norito Kawakami; Yutaka Ono; Tadashi Takeshima; Hidenori Uda; Elie G Karam; John A Fayyad; Aimee N Karam; Zeina N Mneimneh; Maria Elena Medina-Mora; Guilherme Borges; Carmen Lara; Ron de Graaf; Johan Ormel; Oye Gureje; Yucun Shen; Yueqin Huang; Mingyuan Zhang; Jordi Alonso; Josep Maria Haro; Gemma Vilagut; Evelyn J Bromet; Semyon Gluzman; Charles Webb; Ronald C Kessler; Kathleen R Merikangas; James C Anthony; Michael R Von Korff; Philip S Wang; Traolach S Brugha; Sergio Aguilar-Gaxiola; Sing Lee; Steven Heeringa; Beth-Ellen Pennell; Alan M Zaslavsky; T Bedirhan Ustun; Somnath Chatterji
Journal:  JAMA       Date:  2004-06-02       Impact factor: 56.272

10.  Depression during Pregnancy : Overview of Clinical Factors.

Authors:  Heather A Bennett; Adrienne Einarson; Anna Taddio; Gideon Koren; Thomas R Einarson
Journal:  Clin Drug Investig       Date:  2004       Impact factor: 2.859

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Authors:  Stephanie M Gorka; Ashley A Huggins; Daniel A Fitzgerald; Brady D Nelson; K Luan Phan; Stewart A Shankman
Journal:  J Affect Disord       Date:  2014-04-19       Impact factor: 4.839

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Authors:  Ming-Fen Ho; Cristina Correia; James N Ingle; Rima Kaddurah-Daouk; Liewei Wang; Scott H Kaufmann; Richard M Weinshilboum
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Journal:  Oncol Nurs Forum       Date:  2019-09-01       Impact factor: 2.172

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Authors:  Yik Wa Law; Paul S F Yip; Yi Zhang; Eric D Caine
Journal:  J Affect Disord       Date:  2014-07-05       Impact factor: 4.839

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