Abstract
Background
Although irritability is a core symptom of DSM-IV major depressive disorder (MDD) for youth but not adults, clinical studies find comparable rates of irritability between nonbipolar depressed adults and youth. Including irritability as a core symptom of adult MDD would allow detection of depression-equivalent syndromes with primary irritability hypothesized to be more common among males than females. We carried out a preliminary examination of this issue using cross-national community-based survey data from 21 countries in the World Mental Health (WMH) Surveys (n = 110,729).
Methods
The assessment of MDD in the WHO Composite International Diagnostic Interview includes one question about persistent irritability. We examined two expansions of the definition of MDD involving this question: (1) cases with dysphoria and/or anhedonia and exactly four of nine Criterion A symptoms plus irritability; and (2) cases with two or more weeks of irritability plus four or more other Criterion A MDD symptoms in the absence of dysphoria or anhedonia.
Results
Adding irritability as a tenth Criterion A symptom increased lifetime prevalence by 0.4% (from 11.2 to 11.6%). Adding episodes of persistent irritability increased prevalence by an additional 0.2%. Proportional prevalence increases were significantly higher, but nonetheless small, among males compared to females. Rates of severe role impairment were significantly lower among respondents with this irritable depression who did not meet conventional DSM-IV criteria than those with DSM-IV MDD.
Conclusion
Although limited by the superficial assessment in this single question on irritability, results do not support expanding adult MDD criteria to include irritable mood.
Keywords: epidemiology, depression, mood disorders, assessment/diagnosis, measurement/psychometrics, irritability, major depression, nosology, world mental health (WMH) surveys
INTRODUCTION
The diagnostic significance of irritable mood in adult major depression remains unclear. While childhood–adolescent irritability is accepted as an equivalent to dysphoria and anhedonia in diagnosing pediatric DSM-IV major depressive disorder (MDD), irritability is not included among the criteria of adult MDD. Yet, clinical studies show irritability to be more common among depressed than nondepressed patients,[1] to be at least as common in adult as pediatric MDD,[2, 3] and to load on the same factor as other core symptoms of depression in factor analyses of adult depressive symptoms.[4] This age-based diagnostic inconsistency is grounded in developmental notions about the more limited expressive capacities of youth than adults[4] and in clinical concerns that adult, but not child–adolescent, irritability is a non-specific clinical marker of a variety of disorders other than MDD.[5, 6] However, scant empirical research exists on the implications of including irritability as a symptom of adult MDD.
A distinction must be made here between using irritability as a severity marker or a subtyping distinction among adults with DSM-IV MDD and using irritability to expand the definition of major depression. Whereas existing research suggests that irritability in MDD may serve as a severity marker in clinical samples[7, 8] and have possible value as a diagnostic subtyping symptom,[4, 8] we are unaware of previous evidence on the implications of allowing irritability to be used to expand the definition of adult MDD. Revising adult MDD criteria to include irritability might help offset some postulated gender bias in depression measurement, as sociocultural theories suggest that current diagnostic criteria might be insensitive to gender differences in affective expression due to men manifesting depression less than women in terms of sadness and loss of interest and more in terms of irritability.[9, 10] Such an artifactual decrease in the estimated prevalence of male depression, if it exists, would be corrected by including irritability as an equivalent of dysphoria and anhedonia in assessing adult depression.
Empirical support is generally lacking for this intuitive notion of qualitative gender-related mood discrepancies, as there are inconsistent clinical reports of no gender differences in depressive irritability,[1, 8, 11, 12] a male preponderance,[13] and a female preponderance.[2, 7] Community data are rare, but recent nonrepresentative samples using college undergraduates found a female preponderance of so-called “male depression,” characterized as more instrumental and aggressive symptoms.[14] Other research has suggested that depression among young males sometimes goes undetected because it manifests with irritability in the absence of reported sadness.[15]
Given that idioms of distress vary culturally, it is important to include culturally diverse samples in studies of irritability in depression.[16, 17] In order to cast as wide a net as possible in this regard, we examined data from the World Mental Health (WMH) Surveys, a series of community epidemiological surveys of mental disorders carried out in 21 countries throughout the world.[18] The sample includes 110,729 adult respondents. We carried out a preliminary analysis of the extent to which expanding the list of Criterion A symptoms of DSM-IV adult MDD to include irritability and allowing irritability to substitute for dysphoria and anhedonia as a core symptom of MDD would change prevalence estimates of DSM-IV MDD. We also examined the extent to which such changes would influence estimates of gender differences in MDD and the severity of role impairment associated with MDD. The analysis is preliminary in that only a single question about persistent irritability was included in the Composite International Diagnostic Interview (CIDI) assessment of MDD, but results could nonetheless be useful given that only limited information from other sources exists on this issue.
MATERIALS AND METHODS
SAMPLE
The WMH surveys were conducted in 22 countries, including five in countries classified by the World Bank[19] as low or lower-middle income (national surveys in Colombia and Ukraine and regional surveys in Nigeria [21 of 36 states] and the People’s Republic of China [one in the Metropolitan Areas of Beijing and Shanghai and a second in the Metropolitan Area of Shenzhen]), six in countries classified as upper-middle income (national surveys in Bulgaria, Lebanon, Mexico, Romania, and South Africa, and a regional survey in Brazil [Sao Paulo Metropolitan Area]), and 11 in countries classified as high income (national surveys in Belgium, France, Germany, Israel, Italy, the Netherlands, New Zealand, Northern Ireland, Spain, and United States, and a regional survey in Japan [11 Metropolitan Areas]; Table 1). Each of the 22 surveys was administered to randomly selected respondents in a probability sample of households representative of the population.[20]
TABLE 1.
Surveyb | Sample characteristicsc | Field dates | Age range | Sample size | Response rated | |
---|---|---|---|---|---|---|
I. Low/lower-middle income countries | ||||||
Colombia | NSMH | All urban areas of the country (approximately 73% of the total national population) | 2003 | 18–65 | (4,426) | 87.7 |
Nigeria | NSMHW | 21 of the 36 states in the country, representing 57% of the national population. The surveys were conducted in Yoruba, Igbo, Hausa, and Efik languages. | 2002–3 | 18+ | (6,752) | 79.3 |
PRC – Beijing/Shanghai | B-WMH | Beijing and Shanghai metropolitan areas. | 2002–3 | 18+ | (5,201) | 74.7 |
S-WMH | ||||||
PRC – Shenzhen | Shenzhen | Shenzhen metropolitan area. Included temporary residents as well as household residents. | 2006–7 | 18+ | (7,132) | 80.0 |
Ukraine | CMDPSD | Nationally representative. | 2002 | 18+ | (4,724) | 78.3 |
Total | (28,235) | |||||
II. Upper-middle income countries | ||||||
Brazil | São Paulo Megacity | São Paulo metropolitan area. | 2005–7 | 18+ | (5,037) | 81.3 |
Bulgaria | NSHS | Nationally representative. | 2003–7 | 18+ | (5,318) | 72.0 |
Lebanon | LEBANON | Nationally representative. | 2002–3 | 18+ | (2,857) | 70.0 |
Mexico | M-NCS | All urban areas of the country (approximately 75% of the total national population). | 2001–2 | 18–65 | (5,782) | 76.6 |
Romania | RMHS | Nationally representative. | 2005–6 | 18+ | (2,357) | 70.9 |
South Africa | SASH | Nationally representative. | 2003–4 | 18+ | (4,315) | 87.1 |
Total | (25,666) | |||||
III. High income countries | ||||||
Belgium | ESEMeD | Nationally representative. The sample was selected from a national register of Belgium residents | 2001–2 | 18+ | (2,419) | 50.6 |
France | ESEMeD | Nationally representative. The sample was selected from a national list of households with listed telephone numbers. | 2001–2 | 18+ | (2,894) | 45.9 |
Germany | ESEMeD | Nationally representative. | 2002–3 | 18+ | (3,555) | 57.8 |
Israel | NHS | Nationally representative. | 2002–4 | 21+ | (4,859) | 72.6 |
Italy | ESEMeD | Nationally representative. The sample was selected from municipality resident registries. | 2001–2 | 18+ | (4,712) | 71.3 |
Japan | WMHJ2002–2006 | Eleven metropolitan areas. | 2002–6 | 20+ | (4,129) | 55.1 |
Netherlands | ESEMeD | Nationally representative. The sample was selected from municipal postal registries. | 2002–3 | 18+ | (2,372) | 56.4 |
New Zealande | NZMHS | Nationally representative. | 2003–4 | 18+ | (12,790) | 73.3 |
N. Ireland | NISHS | Nationally representative. | 2004–7 | 18+ | (4,340) | 68.4 |
Spain | ESEMeD | Nationally representative. | 2001–2 | 18+ | (5,473) | 78.6 |
United States | NCS-R | Nationally representative. | 2002–3 | 18+ | (9,282) | 70.9 |
Total | (56,825) | 71.4 | ||||
IV. Total | (110,726) |
The World Bank. (2008). Data and Statistics. Accessed May 12, 2009. Available at: http://go.worldbank.org/D7SN0B8YU0
NSMH (The Colombian National Study of Mental Health); IMHS (Iraq Mental Health Survey); NSMHW (The Nigerian Survey of Mental Health and Wellbeing); B-WMH (The Beijing World Mental Health Survey); S-WMH (The Shanghai World Mental Health Survey); CMDPSD (Comorbid Mental Disorders during Periods of Social Disruption); NSHS (Bulgaria National Survey of Health and Stress); LEBANON (Lebanese Evaluation of the Burden of Ailments and Needs of the Nation); M-NCS (The Mexico National Comorbidity Survey); RMHS (Romania Mental Health Survey); SASH (South Africa Health Survey); ESEMeD (The European Study Of The Epidemiology Of Mental Disorders); NHS (Israel National Health Survey); WMHJ2002–2006 (World Mental Health Japan Survey); NZMHS (New Zealand Mental Health Survey); NISHS (Northern Ireland Study of Health and Stress); NMHS (Portugal National Mental Health Survey); NCS-R (The US National Comorbidity Survey Replication).
Most WMH surveys are based on stratified multistage clustered area probability household samples in which samples of areas equivalent to counties or municipalities in the United States were selected in the first stage followed by one or more subsequent stages of geographic sampling (e.g. towns within counties, blocks within towns, households within blocks) to arrive at a sample of households, in each of which a listing of household members was created and one or two people were selected from this listing to be interviewed. No substitution was allowed when the originally sampled household resident could not be interviewed. These household samples were selected from Census area data in all countries other than France (where telephone directories were used to select households) and the Netherlands (where postal registries were used to select households). Several WMH surveys (Belgium, Germany, Italy) used municipal resident registries to select respondents without listing households. The Japanese sample is the only totally unclustered sample, with households randomly selected in each of the 11 metropolitan areas and one random respondent selected in each sample household. Of the 22 surveys, 15 are based on nationally representative household samples.
The response rate is calculated as the ratio of the number of households in which an interview was completed to the number of households originally sampled, excluding from the denominator households known not to be eligible either because of being vacant at the time of initial contact or because the residents were unable to speak the designated languages of the survey. The weighted average response rate is 71.4%.
New Zealand interviewed respondents 16+ but for the purposes of cross-national comparisons, we limit the sample to those 18+.
Interviews were carried out face-to-face in the homes of respondents. The 110,726 adult (age 18+) respondents who completed the survey included 28,235 in low/lower-middle income countries, 25,666 in upper-middle income countries, and 56,825 in high income countries. Individual country samples ranged from a low of 2,357 (Romania) to a high of 12,790 (New Zealand). The weighted average response rate across surveys was 71.4% (ranging from a low of 45.9% in France to a high of 87.7% in Colombia). The sample data in each country were weighted to adjust for discrepancies between the samples and population census data on a range of demographic and geographic variables.
DIAGNOSTIC ASSESSMENT
Diagnoses were based on Version 3.0 of the World Health Organization CIDI,[21] a fully structured instrument designed for use by trained lay interviewers. DSM-IV diagnostic criteria[22] were used in making diagnoses. Organic exclusions and diagnostic hierarchy rules were applied. The CIDI was developed in English and then translated, back translated, and harmonized in each country in collaboration with the WMH Data Collection Coordinating Centre (DCCC) at the University of Michigan in the United States. This was done using an expanded version of the standard WHO translation protocol.[23] Interviewers were trained by culturally competent bilingual (in English and the language(s) of the survey) supervisors in each country using consistent interviewer training materials that were standardized across surveys. Quality control protocols were also standardized and audited by DCCC staff to check interviewer accuracy and specify data cleaning and coding procedures.[24] The institutional review board of the organization that coordinated the survey in each country approved and monitored compliance with procedures for obtaining informed consent and protecting human subjects.
The CIDI assesses a wide range of disorders including major depressive episode, anxiety disorders (generalized anxiety disorder, panic disorder, agoraphobia without panic disorder, specific phobia, social phobia, posttraumatic stress disorder, adult separation anxiety disorder), intermittent explosive disorder, and substance use disorders (alcohol and drug abuse with or without dependence). The majority of surveys also assessed bipolar spectrum disorder (BP-I, BP-II, and subthreshold bipolar disorder (BPD)), but the latter disorders were not assessed in some of the initial WMH surveys. CIDI–SCID (where SCID is Structured Clinical Interview for DSM-IV) concordance using a probability subsample of WMH survey respondents from four countries found generally good concordance for these diagnoses.[25] Worst lifetime episodes are the focus of assessment. Concordance of diagnoses based on the CIDI with independent clinical diagnoses based on the SCID[26] was assessed in four WMH countries. Concordance was found to be good for major depressive episode (MDE) (area under the receiver operating characteristic curve (AUC) = 0.79), excellent for bipolar spectrum disorder (AUC = 0.94), and generally good for the other DSM-IV disorders assessed.[25]
The CIDI assessment of MDD includes several symptoms in addition to those specified in DSM-IV, including irritability, euphoria, extreme irritability, and multiple other hypomanic symptoms designed to distinguish between depressive episodes and mixed episodes. Persistent irritability is assessed with a simple yes–no query about whether the respondent was “irritable, grouchy, or in a bad mood nearly every day” during the worst 2 weeks of the index episode of sadness or anhedonia. It is possible to use responses to this question to determine how much the estimated prevalence of MDD would increase if irritability were used as an additional symptom of MDD. Specifically, respondents who did not meet lifetime criteria for bipolar spectrum disorder but who had exactly four of the requisite Criterion A symptoms of MDD were reexamined to determine whether the addition of irritability to the Criterion A symptom set would lead to a meaningful increase in the number of respondents classified as having MDD using a revised 5+ of 10 (rather than the current 5+ of 9) rule. The exclusion of respondents with a history of bipolar spectrum disorder (lifetime history of BPD, subthreshold BPD, or core hypomanic symptoms) was made based on the fact that depression with irritability could plausibly be conceptualized as a BP spectrum disorder. As noted below, though, BPD was not assessed in some countries, in which case this type of irritable depression was presumably overestimated.
In addition, we were able to explore the implications of including irritability as a core symptom of MDD (i.e. as a symptom that could substitute for dysphoria or anhedonia) in eight countries where a separate assessment was made of all other symptoms of MDD during episodes of being irritable among respondents who reported that they did not experience either dysphoria or anhedonia during these episodes. This assessment asked respondents whether they ever had episodes lasting 2 weeks or longer when they were “irritable, grumpy, or in a bad mood most of the day nearly every day.” The requirement that this symptom last “most of the day” was imposed because DSM-IV stipulates that irritability is a substitute for dysphoria among youth and the criterion for dysphoric mood requires persistence most of the day nearly every day. We classified respondents who reported such episodes as qualifying for a definition of irritable depression if they additionally had four or more of the remaining (i.e. exclusive of dysphoria and anhedonia) seven Criterion A symptoms of MDD, again excluding respondents with a history of bipolar spectrum disorder. The eight countries in which this assessment was made included Colombia, Japan, Lebanon, Mexico, Nigeria, PRC Beijing/Shanghai, Ukraine, and the United States. A total of 43,153 respondents were included in the surveys in these eight countries.
Respondents who met criteria either for DSM-IV MDD or irritable depression in the 12 months before interview were administered a modified version of the Sheehan Disability Scales (SDS)[27] to assess severity of the role impairment caused by their depression. The SDS uses a 0–10 visual analogue scale with labels of none (0), mild (1–3), moderate (4–6), severe (7–9), and very severe (10) to characterize severity of impairment in each of four areas of living (work, home management, social life, close relationships). The SDS has excellent internal consistency reliability[27-29] and good concordance with objective measures of role functioning.[27-31]
ANALYSIS METHODS
Cross-tabulations estimated prevalence of irritable depression using each of the two definitions described above as well as relative prevalence versus DSM-IV/CIDI MDD. Cross-tabulations also compared rates of severe impairment assessed in the SDS of respondents with irritable depression and DSM-IV/CIDI MDD. Retrospective disorder age-of-onset reports were analyzed to estimate differential predictors of life-time risk of irritable depression and DSM-IV/CIDI MDD in discrete time survival models with person–year the unit of analysis and a logistic link function.[32] Coefficients were exponentiated and reported as odds ratios (ORs) and 95% confidence intervals. Standard errors of all descriptive statistics were estimated using the Taylor series linearization method[33] in SAS version 9.3[34] to adjust for the weighting and clustering of WMH data. Multivariate significance of predictor sets was evaluated using Wald χ2 tests based on design-corrected coefficient variance–covariance matrices. Statistical significance was consistently evaluated using two-sided 0.05-level tests.
RESULTS
PREVALENCE USING THE 5+ OF 10 RULE
Including irritability as an additional Criterion A symptom of MDD and using a 5+ of 10 rule instead of a 5+ of 9 rule increases the estimated lifetime prevalence of MDD by an average of 0.4% across all surveys, from 11.2 to 11.6%. (Table 2) This increase represents a 3.5% proportional increase over the base (i.e. 0.4/11.6 = 3.5%). The range of prevalence estimates using this definition across surveys is 0.0–1.0% (1.0–9.2% proportional increase) and the interquartile range (IQR; i.e. 25th–75th percentiles) is 0.2–0.6% (2.8–5.4% proportional increase). It should be noted that the three surveys with the highest prevalence estimates (0.9–1.0%) are among those that did not assess bipolar disorder. This means that the prevalence estimate of irritable depression is anticonservative in these countries.
TABLE 2.
Irritable depression
|
Total depressionc
|
Irritable depression/total depressiond
|
(n)e
|
||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total
|
Male
|
Female
|
Total
|
Male
|
Female
|
Total
|
Male
|
Female
|
Total | Male | Female | ||||||||||
% | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | ||||
I. Low/lower-middle income countries | |||||||||||||||||||||
Colombia | 0.4 | (0.2) | 0.2 | (0.1) | 0.6 | (0.3) | 12.7 | (0.8) | 8.8a | (0.8) | 15.8 | (1.0) | 3.1 | (1.3) | 2.2 | (1.3) | 3.5 | (1.9) | (4,426) | (1,700) | (2,726) |
Nigeria | 0.1 | (0.0) | 0.2 | (0.1) | 0.0 | (0.0) | 3.2 | (0.3) | 2.9 | (0.4) | 3.5 | (0.4) | 2.4 | (1.4) | 5.3a | (1.1) | 0.0 | (0.0) | (6,752) | (3,315) | (3,437) |
People’s Republic of China, Beijing/Shanghaif | 0.0 | (0.0) | 0.0 | (0.0) | 0.1 | (0.0) | 3.6 | (0.4) | 3.8 | (0.5) | 3.3 | (0.5) | 1.0 | (0.5) | 0.0 | (0.0) | 2.3 | (1.2) | (5,201) | (2,533) | (2,668) |
People’s Republic of China, Shenzhenf | 0.2 | (0.0) | 0.1 | (0.1) | 0.3 | (0.1) | 6.3 | (0.4) | 5.8 | (0.6) | 6.7 | (0.5) | 3.1 | (0.6) | 2.1 | (0.7) | 4.0 | (0.9) | (7,132) | (3,614) | (3,518) |
Ukrainef | 0.9 | (0.1) | 0.8 | (0.2) | 1.0 | (0.2) | 15.5 | (0.7) | 9.4a | (0.7) | 20.5 | (1.0) | 6.1 | (0.9) | 8.6a | (2.0) | 5.1 | (0.7) | (4,724) | (1,792) | (2,932) |
II. Upper-middle income countries | |||||||||||||||||||||
Bulgaria | 0.6 | (0.3) | 0.5 | (0.3) | 0.6 | (0.3) | 6.2 | (0.4) | 3.7a | (0.7) | 8.6 | (0.6) | 9.2 | (3.9) | 13.6 | (6.3) | 7.4 | (3.6) | (5,318) | (2,430) | (2,888) |
Lebanon | 0.6 | (0.1) | 0.5 | (0.2) | 0.7 | (0.3) | 10.8 | (0.9) | 7.8a | (1.0) | 13.8 | (1.2) | 5.4 | (1.0) | 6.6 | (2.6) | 4.8 | (1.3) | (2,857) | (1,297) | (1,560) |
Mexico | 0.3 | (0.1) | 0.3 | (0.2) | 0.2 | (0.1) | 7.6 | (0.5) | 4.9a | (0.6) | 10.0 | (0.7) | 3.1 | (0.9) | 5.1a | (0.8) | 2.2 | (0.7) | (5,782) | (2,285) | (3,497) |
Romania | 0.2 | (0.1) | 0.2 | (0.1) | 0.2 | (0.1) | 3.2 | (0.4) | 2.8a | (0.5) | 3.6 | (0.6) | 6.8 | (2.3) | 8.7 | (4.9) | 5.7 | (2.3) | (2,357) | (1,092) | (1,265) |
São Paulo, Brazil | 0.7 | (0.2) | 0.7 | (0.2) | 0.7 | (0.2) | 17.9 | (0.8) | 10.9a | (0.6) | 24.1 | (1.3) | 3.6 | (0.9) | 5.6a | (1.9) | 2.7 | (0.7) | (5,037) | (2,187) | (2,850) |
South Africaf | 0.2 | (0.1) | 0.1 | (0.1) | 0.2 | (0.1) | 10.0 | (0.7) | 7.3a | (0.8) | 12.3 | (1.0) | 1.9 | (0.7) | 1.9 | (1.1) | 2.0 | (0.9) | (4,315) | (1,718) | (2,597) |
III. High income countries | |||||||||||||||||||||
Belgiumf | 1.0 | (0.4) | 1.2 | (0.6) | 0.7 | (0.3) | 15.0 | (1.2) | 11.5a | (1.5) | 18.5 | (1.5) | 6.3 | (2.4) | 10.2a | (4.3) | 4.0 | (1.9) | (2,419) | (1,190) | (1,229) |
Francef | 0.9 | (0.3) | 0.5 | (0.3) | 1.2 | (0.4) | 21.9 | (1.1) | 15.3a | (1.2) | 27.8 | (1.4) | 4.0 | (1.2) | 3.4 | (1.9) | 4.3 | (1.4) | (2,894) | (1,329) | (1,565) |
Germanyf | 0.4 | (0.1) | 0.4 | (0.1) | 0.4 | (0.1) | 10.3 | (0.6) | 7.6a | (0.8) | 12.8 | (0.9) | 3.7 | (1.0) | 4.7 | (1.8) | 3.2 | (1.1) | (3,555) | (1,660) | (1,895) |
Israel | 0.8 | (0.1) | 0.8 | (0.2) | 0.7 | (0.2) | 10.9 | (0.5) | 8.7a | (0.6) | 13.0 | (0.7) | 6.9 | (1.2) | 9.0 | (2.2) | 5.7 | (1.3) | (4,859) | (2,380) | (2,479) |
Italyf | 0.4 | (0.1) | 0.4 | (0.2) | 0.3 | (0.1) | 10.3 | (0.5) | 6.8a | (0.5) | 13.5 | (0.8) | 3.5 | (0.9) | 5.9 | (1.9) | 2.3 | (1.0) | (4,712) | (2,321) | (2,391) |
Japan | 0.3 | (0.1) | 0.2 | (0.1) | 0.3 | (0.1) | 6.4 | (0.4) | 3.8a | (0.5) | 8.7 | (0.6) | 4.0 | (1.2) | 5.6 | (2.1) | 3.3 | (1.3) | (4,129) | (1,868) | (2,261) |
Netherlandsf | 0.5 | (0.2) | 0.8 | (0.4) | 0.3 | (0.2) | 18.4 | (1.1) | 13.7a | (1.5) | 22.8 | (1.5) | 2.8 | (1.1) | 5.6a | (2.7) | 1.2 | (0.7) | (2,372) | (1,032) | (1,340) |
New Zealand | 0.4 | (0.1) | 0.4 | (0.1) | 0.4 | (0.1) | 17.3 | (0.4) | 12.4a | (0.6) | 21.8 | (0.6) | 2.2 | (0.4) | 2.7 | (0.7) | 1.9 | (0.4) | (12,790) | (5,537) | (7,253) |
Northern Ireland | 0.2 | (0.1) | 0.1 | (0.1) | 0.3 | (0.1) | 16.7 | (0.8) | 11.6a | (0.8) | 21.6 | (1.2) | 1.3 | (0.4) | 1.0 | (0.4) | 1.5 | (0.5) | (4,340) | (1,899) | (2,441) |
Spainf | 0.4 | (0.1) | 0.2 | (0.1) | 0.5 | (0.2) | 11.0 | (0.5) | 6.7a | (0.5) | 15.0 | (0.8) | 3.5 | (0.9) | 3.7 | (1.2) | 3.4 | (1.1) | (5,473) | (2,421) | (3,052) |
United States | 0.5 | (0.1) | 0.5 | (0.1) | 0.6 | (0.1) | 17.9 | (0.6) | 14.0a | (0.8) | 21.6 | (0.6) | 2.8 | (0.4) | 2.9 | (0.7) | 2.7 | (0.6) | (9,282) | (4,139) | (5,143) |
IV. Total | |||||||||||||||||||||
Total | 0.4 | (0.0) | 0.4 | (0.0) | 0.5 | (0.0) | 11.6 | (0.1) | 8.3a | (0.2) | 14.7 | (0.2) | 3.5 | 0.2 | 4.3 | (0.4) | (3.0) | (0.2) | (110,726) | (49,739) | (60,987) |
Significant gender difference at the .05 level, two-sided test.
Respondents with a lifetime history of bipolar spectrum disorder were excluded from the analysis. See the text for a full description.
Total depression includes both irritable depression and DSM-IV/CIDI MDD.
The proportional increase in the estimated lifetime prevalence of depression if irritable depression was included along with DSM-IV/CIDI MDD.
The sample sizes reported are all people included in the survey rather than those with depression. In the total sample, for example, 0.4% of the 110,729 respondents surveyed met criteria for lifetime irritable depression using the 5+ of 10 symptoms rule.
Bipolar disorder was not assessed in this survey.
The pooled average prevalence estimate across surveys is very similar for women (0.5%) and men (0.4%) and the gender difference is not significant either in any individual survey (t = 0.0–1.8, P = .08–.93) or in the total sample pooled across surveys (t = 1.8, P = .07). However, given that women consistently have a higher prevalence of DSM-IV MDD than men,[35] the proportional increase in total depression prevalence is for the most part (16 of 22 surveys) higher among men than women, with median (IQR) proportional increases of 5.6% (2.7–6.6) among men and 3.3% (2.2–4.3) among women. These gender differences in proportional increase are significant at the .05 level in six surveys (Nigeria, Ukraine, Mexico, Sao Paulo, Belgium, Netherlands).
PREVALENCE USING IRRITABILITY AS AN EQUIVALENT OF DYSPHORIA AND ANHEDONIA
As noted above, eight of the WMH surveys included a separate interview section that screened for lifetime episodes of irritability lasting most of the day nearly every day for 2 weeks or longer, including an assessment of all other symptoms of DSM-IV MDD during those episodes of persistent irritability (Table 3). The mean lifetime prevalence estimate of irritable depression using the requirement of irritability plus four or more additional symptoms is 0.2% and the range (IQR) is 0.0–0.4% (0.2–0.3%), representing a proportional increase over the expanded (to include irritable depression using the 5+ of 10 rule) base of 2.1% (2.2–2.4%).
TABLE 3.
Irritable depression
|
Irritable depression/total depressionc total depressionc
|
Broadly defined irritable depression/total depressiond
|
||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total
|
Male
|
Female
|
Total
|
Male
|
Female
|
Total
|
Male
|
Female
|
||||||||||
% | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | % | (SE) | |
I. Low/lower-middle income countries | ||||||||||||||||||
Colombia | 0.2 | (0.1) | 0.2 | (0.1) | 0.1 | (0.1) | 1.0 | (0.4) | 1.7 | (1.0) | 0.7 | (0.3) | 4.0 | (1.3) | 3.8 | (1.5) | 4.2 | (1.8) |
Nigeria | 0.0 | (0.0) | 0.0 | (0.0) | 0.0 | (0.0) | 0.0 | (0.0) | 0.0 | (0.0) | 0.0 | (0.0) | 2.4 | (1.4) | 5.3 | (1.1) | 0.0 | (0.0) |
PRC Beijing/Shanghai | 0.2 | (0.1) | 0.2 | (0.1) | 0.2 | (0.1) | 4.3 | (1.5) | 4.3 | (1.3) | 4.3 | (2.5) | 5.2 | (1.5) | 4.3 | (1.3) | 6.5 | (2.8) |
Ukraine | 0.1 | (0.1) | 0.1 | (0.1) | 0.1 | (0.1) | 0.6 | (0.3) | 1.2 | (0.9) | 0.3 | (0.2) | 6.6 | (1.0) | 9.7a | (2.1) | 5.4 | (0.8) |
II. Upper-middle income countries | ||||||||||||||||||
Lebanon | 0.3 | (0.1) | 0.2 | (0.2) | 0.4 | (0.1) | 2.2 | (0.9) | 1.9 | (1.9) | 2.3 | (0.8) | 7.5 | (1.2) | 8.4 | (3.1) | 7.0 | (1.6) |
Mexico | 0.2 | (0.1) | 0.2 | (0.2) | 0.2 | (0.1) | 2.0 | (1.0) | 2.8 | (0.2) | 1.7 | (0.6) | 5.1 | (1.3) | 7.8 | (0.8) | 3.8 | (0.9) |
III. High income countries | ||||||||||||||||||
Japan | 0.4 | (0.1) | 0.4 | (0.1) | 0.5 | (0.2) | 5.9 | (1.4) | 7.9 | (2.7) | 5.0 | (1.5) | 9.6 | (1.8) | 13.1 | (3.2) | 8.1 | (1.9) |
United States | 0.4 | (0.1) | 0.3 | (0.1) | 0.5 | (0.1) | 2.4 | (0.4) | 2.7 | (0.7) | 2.2 | (0.3) | 5.1 | (0.6) | 5.6 | (0.9) | 4.8 | (0.7) |
IV. Total | 0.2 | (0.0) | 0.2 | (0.0) | 0.3 | (0.0) | 2.1 | (0.2) | 2.6 | (0.4) | 1.8 | (0.2) | 5.5 | (0.4) | 6.6 | (0.6) | 5.0 | (0.4) |
Significant gender difference at the .05 level, two-sided test.
Respondents with a lifetime history of bipolar spectrum disorder were excluded from the analysis. See the text for a full description.
The proportional increase in the estimated lifetime prevalence of depression if irritable depression was included along with DSM-IV/CIDI MDD.
The proportional increase in the estimated lifetime prevalence of depression if both types of irritable depression (i.e. the type based on using the 5+ of 10 symptoms rule and the type based on using irritability as an equivalent of dysphoria or anhedonia) were included along with DSM-IV/CIDI MDD.
The pooled average prevalence estimate across surveys is very similar for women (0.3%) and men (0.2%), and the gender difference is not significant either in any individual survey (t = 0.0–1.6, P = .11–.90) or in the total sample pooled across surveys (t = 1.1, P = .26). However, as with the definition based on the 5+ of 10 symptom rule, the proportional increase in total depression due to the inclusion of this second type of irritable depression is somewhat higher among men than women, with median (IQR) proportional prevalence increases of 2.3% (1.7–2.8%) among men and 1.9% (0.7–2.3%) among women. This gender difference is not significant, though, in any of the surveys.
PREVALENCE COMBINING THE TWO DEFINITIONS
When we combine the two definitions of irritable depression, the pooled proportional mean (IQR) increase in the estimated lifetime prevalence of total major depression over the DSM-IV definition of MDD is 5.5% (5.1–6.0%) in the total sample, 6.6% (5.3–8.4%) among men, and 5.0% (4.2–6.5%) among women. The gender difference is insignificant (t = 1.8, P = 0.07).
SUBGROUP DIFFERENCES
In addition to gender differences, we examined the possibility that relative prevalence of irritable depression compared to DSM-IV/CIDI MDD varies by age, education, and country income level. We also examined gender, age, and education differences by country income level. In analyses pooled across all samples, the lower relative prevalence of irritable depression among women than men was found to be significant in high income (χ21 = 10.8, P < .001) and upper-middle income (χ21 = 6.5, P = .011) but not low/lower-middle income (χ21 = 0.6, P = .45) countries (Table 4). Age differences in relative prevalence were insignificant overall (χ23 = 6.6, P = .08) as well as in surveys carried out in each of the three country income groups (χ23 = 2.0–7.8, P = .052–.57), but with a trend toward higher relative prevalence among the youngest (ages 18–29) respondents. Differences by education were also insignificant overall (χ23 = 6.3, P = .10) as well as in surveys carried out in each of the country income groups (χ23 = 3.8–7.1, P = .07–.28). Differences by country income level, finally, were close to significant (χ22 = 5.8, P = .054) due to higher relative prevalence of irritable depression in low and middle income countries than in high income countries. Even in the subsample with the highest relative prevalence (young men in low or middle income countries), though, the marginal increase in broadly defined lifetime depression was less than 7%.
TABLE 4.
Total
|
Country income level | |||||||
---|---|---|---|---|---|---|---|---|
| ||||||||
High
|
Upper-middle
|
Low/lower-middle
|
||||||
OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | |
Gender | ||||||||
Female | 0.6a | (0.5–0.8) | 0.6a | (0.5–0.8) | 0.5a | (0.3–0.9) | 0.8 | (0.5–1.3) |
Male | 1.0 | – | 1.0 | – | 1.0 | – | 1.0 | – |
χ21 | 16.2a | 10.8a | 6.5a | 0.6 | ||||
Age | ||||||||
60+ | 0.8 | (0.6–1.0) | 1.0 | (0.6–1.6) | 0.4a | (0.2–0.8) | 0.8 | (0.4–1.5) |
45–59 | 0.7a | (0.5–0.9) | 0.7 | (0.5–1.0) | 0.8 | (0.4–1.5) | 0.7 | (0.4–1.2) |
30–44 | 0.8 | (0.6–1.1) | 0.8 | (0.6–1.2) | 0.8 | (0.5–1.3) | 0.9 | (0.5–1.6) |
18–29 | 1.0 | – | 1.0 | – | 1.0 | – | 1.0 | – |
χ23 | 6.6 | 3.8 | 7.8 | 2.0 | ||||
Educationb | ||||||||
High | 1.1 | (0.8–1.6) | 1.4 | (1.0–2.1) | 0.6 | (0.2–1.4) | 1.1 | (0.6–2.4) |
High-average | 0.8 | (0.5–1.1) | 1.0 | (0.6–1.4) | 0.5 | (0.2–1.1) | 0.4a | (0.2–1.0) |
Low-average | 1.0 | (0.7–1.3) | 1.1 | (0.7–1.7) | 0.5 | (0.3–1.0) | 1.0 | (0.6–1.9) |
Low | 1.0 | – | 1.0 | – | 1.0 | – | 1.0 | – |
χ23 | 6.3 | 5.7 | 3.8 | 7.1 | ||||
Country income level | ||||||||
Low/lower-middle | 1.3 | (1.0–1.7) | ||||||
Upper-middle | 1.4a | (1.0–1.9) | ||||||
High income | 1.0 | |||||||
χ22 | 5.8 | |||||||
(n) | (110,726) | (56,825) | (25,666) | (28,235) |
Significant difference in the relative prevalence of irritable depression versus DSM-IV/CIDI MDD at the .05 level, two-sided test.
Given the existence of substantial cross-national differences in educational attainment, respondents were divided roughly into quartiles in each country on the basis of level of education and pooled across countries in these categories rather than in terms of absolute number of years of education.
IMPAIRMENTS IN ROLE FUNCTIONING IN IRRITABLE DEPRESSION VERSUS MDD
Role impairment was assessed only for 12-month cases. Severe role impairment in at least one SDS role domain was reported by a significantly lower proportion of respondents with irritable depression than DSM-IV/CIDI MDD in the total sample (18.9 versus 43.3%, t = 14.1, P < .001). (Results not shown but available upon request.) Relative odds of severe role impairment in logistic regression models controlling for age, gender, education, and country were also significantly lower among respondents with irritable depression versus MDD and relatively consistent across the four SDS domains (OR = 0.2–0.4 across SDS role domains and 0.3 overall). Very similar patterns were found in subsamples defined by country income level, with ORs in the range 0.3–0.4 in low/lower-middle income countries, 0.3.–0.5 in upper-middle income countries, and 0.1–0.4 in high income countries (Table 5). More detailed analyses failed to find evidence of significant differences in these relative-odds based on respondent age (χ23 = 2.0–6.1, P = .11–.57), gender (χ21 = 0.3–3.0, P = .09–.59), or education (χ23 = 1.8–4.9, P = .18–.61). Based on these low rates of severity, the proportion of severe broadly defined cases due to irritable depression (2.1%) is even smaller than the proportion of overall broadly defined cases due to irritable depression (7.0%).
TABLE 5.
Irritable depression
|
DSM-IV/CIDI MDD
|
OR | (95% CI) | |||
---|---|---|---|---|---|---|
% | (SE) | % | (SE) | |||
I. Total sample | ||||||
Work | 7.8a | (1.1) | 23.7 | (0.6) | 0.3a | (0.1–0.5) |
Home management | 6.1a | (1.4) | 25.1 | (0.7) | 0.2a | (0.1–0.4) |
Social life | 11.3a | (1.4) | 27.8 | (0.7) | 0.3a | (0.2–0.5) |
Close relationships | 12.4a | (1.4) | 24.2 | (0.6) | 0.4a | (0.3–0.6) |
(n) | (230) | (5,376) | (5,606) | |||
II. Low/lower-middle income countries | ||||||
Work | 6.0a | (3.0) | 15.6 | (1.3) | 0.3 | (0.1–1.0) |
Home management | 7.2a | (2.9) | 20.9 | (1.3) | 0.3a | (0.1–0.7) |
Social life | 7.8a | (2.3) | 16.3 | (1.2) | 0.4a | (0.2–1.0) |
Close relationships | 9.6a | (2.4) | 17.8 | (1.3) | 0.4a | (0.2–1.0) |
(n) | (59) | (1,065) | (1,124) | |||
III. Upper-middle income countries | ||||||
Work | 13.5a | (3.3) | 28.4 | (1.7) | 0.4 | (0.1–1.3) |
Home management | 8.4a | (3.8) | 29.1 | (1.5) | 0.3a | (0.1–0.8) |
Social life | 20.2a | (3.9) | 32.7 | (1.5) | 0.5 | (0.3–1.0) |
Close relationships | 18.4a | (3.9) | 30.7 | (1.6) | 0.5 | (0.3–1.0) |
(n) | (56) | (1,267) | (1,323) | |||
IV. High income countries | ||||||
Work | 5.4a | (0.2) | 24.6 | (0.8) | 0.2a | (0.1–0.5) |
Home management | 4.5a | (1.1) | 25.0 | (0.9) | 0.1a | (0.1–0.4) |
Social life | 7.9a | (1.5) | 29.9 | (0.9) | 0.2a | (0.1–0.4) |
Close relationships | 10.3a | (1.7) | 23.8 | (0.8) | 0.4 | (0.2–0.7) |
(n) | (115) | (3,044) | (3,159) |
Significant difference between irritable depression and DSM-IV/CIDI MDD in the percentage of cases with severe role impairment.
Irritable depression was defined broadly to include both the type based on using the 5+ of 10 symptoms rule and, in the eight surveys that included a separate interview section on episodes of persistent irritability, the type based on using irritability as an equivalent of dysphoria or anhedonia.
Based on a logistic regression model with a dummy predictor variable for irritable depression (coded 1) versus DSM-IV/CIDI MDD (coded 0) predicting a dichotomous outcome for severity of role impairment controlling for respondent age, gender, education, and country.
DISCUSSION
Although these results are limited by the use of a fully structured lay-administered diagnostic interview, the good concordance found between diagnoses based on the CIDI and clinical diagnoses based on blinded SCID interviews is reassuring.[25] The fact that irritability was assessed using only a single question in the MDD section about being “irritable, grouchy, or in a bad mood,” though, possibly led to underreporting of true irritability, might have obscured important distinctions in types of irritability,[36, 37] and could have also introduced false positives due to the ambiguity of the term “bad mood.” The fact that quite a few surveys did not assess bipolar disorder could have added to the false-positive problem in leading respondents with bipolar disorder to be classified incorrectly as having irritable depression.
These limitations notwithstanding, our results show clearly that only a very small proportion of the populations in the countries studied ever meets criteria for a diagnosis of irritable depression in the absence of lifetime DSM-IV MDD. Furthermore, our finding that the prevalence of irritable depression in the absence of DSM-IV MDD does not differ markedly between men and women is inconsistent with sociocultural theories regarding irritability as a possible male equivalent of depression.[9, 10, 13] We found some evidence that irritable depression is more common relative to DSM-IV MDD among young men in low and middle income countries, but even in this segment of the population, there were fewer than seven cases of lifetime irritable depression for every 93 cases of lifetime DSM-IV MDD. It is certainly possible that other symptoms differentiate male from female depression that need to be elucidated in future research, but the results presented here are inconsistent with the notion that irritability is central to such differences.
We also found that irritable depression is associated with substantially less role impairment than DSM-IV MDD, resulting in there being only about two cases of severely impairing lifetime irritable depression for every 98 cases of severely impairing lifetime DSM-IV MDD. One possible explanation for this finding of lower levels of severe impairment in irritable depression than DSM-IV depression might be that the cases of irritable depression might include a high proportion of respondents who met all criteria for mania or hypomania other than the requirement for marked impairment in mania (DSM-IV Criterion D) or clinically significant impairment in hypomania (DSM-IV Criterion E). This was not the case, though, as such cases were removed from the analysis at the onset when we excluded respondents with core hypomanic symptoms in an effort to avoid this kind of confounding.
It is noteworthy that despite the very small number of respondents who met criteria for irritable depression in the absence of DSM-IV MDD, a majority of WMH respondents with a history of MDD report irritability during their depressive episodes.[35] This is consistent with the finding in numerous clinical studies that a high proportion of adult patients in treatment for MDD have symptoms of irritability.[2, 5-7, 38-41] It also ties in with the point made in the introduction that irritability might be a useful severity marker[7, 8] or a useful basis for subtyping adults with DSM-IV MDD[4, 8] even if it is not a useful basis for expanding the definition of MDD. It might be the case that information about irritability has relevance for depression treatment. In interpreting the results of our study, it is important to be clear that we are addressing only the issue of expanding the definition of MDD and not issues of subtyping or distinguishing the severity of threshold cases of MDD.
Acknowledgments
The World Health Organization World Mental Health (WMH) Survey Initiative was supported by the National Institute of Mental Health (NIMH; R01 MH070884), the John D. and Catherine T. MacArthur Foundation, the Pfizer Foundation, the US Public Health Service (R13-MH066849, R01-MH069864, and R01 DA016558), the Fogarty International Center (FIRCA R03-TW006481), the Pan American Health Organization, Eli Lilly and Company, Ortho-McNeil Pharmaceutical, GlaxoSmithKline, and Bristol-Myers Squibb. We thank the staff of the WMH Data Collection and Data Analysis Coordination Centres for assistance with instrumentation, fieldwork, and consultation on data analysis. None of the funders had any role in the design, analysis, interpretation of results, or preparation of this paper. A complete list of all within-country and cross-national WMH publications can be found at http://www.hcp.med.harvard.edu/wmh/. The São Paulo Megacity Mental Health Survey is supported by the State of São Paulo Research Foundation (FAPESP) Thematic Project Grant 03/00204–3. The Bulgarian Epidemiological Study of common mental disorders EPIBUL is supported by the Ministry of Health and the National Center for Public Health Protection. The Beijing, Peoples Republic of China World Mental Health Survey Initiative is supported by the Pfizer Foundation. The Shenzhen Mental Health Survey is supported by the Shenzhen Bureau of Health and the Shenzhen Bureau of Science, Technology, and Information. The Colombian National Study of Mental Health (NSMH) is supported by the Ministry of Social Protection. The ESEMeD project is funded by the European Commission (Contracts QLG5–1999-01042; SANCO 2004123), the Piedmont Region (Italy), Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Spain (FIS 00/0028), Ministerio de Ciencia y Tecnología, Spain (SAF 2000–158-CE), Departament de Salut, Generalitat de Catalunya, Spain, Instituto de Salud Carlos III (CIBER CB06/02/0046, RETICS RD06/0011 REM-TAP), and other local agencies and by an unrestricted educational grant from Glax-oSmithKline. The Israel National Health Survey is funded by the Ministry of Health with support from the Israel National Institute for Health Policy and Health Services Research and the National Insurance Institute of Israel. The World Mental Health Japan (WMHJ) Survey is supported by the Grant for Research on Psychiatric and Neurological Diseases and Mental Health (H13-SHOGAI-023, H14-TOKUBETSU-026, H16-KOKORO-013) from the Japan Ministry of Health, Labour and Welfare. The Lebanese National Mental Health Survey (LEBANON) is supported by the Lebanese Ministry of Public Health, the WHO (Lebanon), National Institute of Health/Fogarty International Center (R03 TW006481–01), anonymous private donations to IDRAAC, Lebanon, and unrestricted grants from Astra Zeneca, Eli Lilly, GlaxoSmithKline, Hikma Pharm, Janssen Cilag, MSD, Novartis, Pfizer, Sanofi Aventis, and Servier. The Mexican National Comorbidity Survey (MNCS) is supported by The National Institute of Psychiatry Ramon de la Fuente (INPRFMDIES 4280) and by the National Council on Science and Technology (CONACyT-G30544-H), with supplemental support from the PanAmerican Health Organization (PAHO). Te Rau Hinengaro: The New Zealand Mental Health Survey (NZMHS) is supported by the New Zealand Ministry of Health, Alcohol Advisory Council, and the Health Research Council. The Nigerian Survey of Mental Health and Wellbeing (NSMHW) is supported by the WHO (Geneva), the WHO (Nigeria), and the Federal Ministry of Health, Abuja, Nigeria. The Northern Ireland Study of Mental Health was funded by the Health & Social Care Research & Development Division of the Public Health Agency. The Portuguese Mental Health Study was carried out by the Department of Mental Health, Faculty of Medical Sciences, NOVA University of Lisbon, with collaboration of the Portuguese Catholic University, and was funded by Champalimaud Foundation, Gulbenkian Foundation, Foundation for Science and Technology (FCT) and Ministry of Health. The Romania WMH study projects “Policies in Mental Health Area” and “National Study regarding Mental Health and Services Use” were carried out by National School of Public Health & Health Services Management (former National Institute for Research & Development in Health), with technical support of Metro Media Transilvania, the National Institute of Statistics-National Centre for Training in Statistics, SC. Cheyenne Services SRL, Statistics Netherlands and were funded by Ministry of Public Health (former Ministry of Health) with supplemental support of Eli Lilly Romania SRL. The South Africa Stress and Health Study (SASH) is supported by the US National Institute of Mental Health (R01-MH059575) and National Institute of Drug Abuse with supplemental funding from the South African Department of Health and the University of Michigan. The Ukraine Comorbid Mental Disorders during Periods of Social Disruption (CMDPSD) study is funded by the US National Institute of Mental Health (RO1-MH61905). The US National Comorbidity Survey Replication (NCS-R) is supported by the National Institute of Mental Health (NIMH; U01-MH60220) with supplemental support from the National Institute of Drug Abuse (NIDA), the Substance Abuse and Mental Health Services Administration (SAMHSA), the Robert Wood Johnson Foundation (RWJF; Grant 044708), and the John W. Alden Trust. These surveys were carried out in conjunction with the World Health Organization WMH. Survey initiative: We thank the WMH staff for assistance with instrumentation, fieldwork and data analysis. A complete list of WMH publications can be found at www.hcp.med.harvard.edu/wmh. Disclosures: Dr. Demyttenaere has served on advisory boards for, speaker bureaus for, and has research grants from Astra Zeneca, Eli Lilly, GSK, Lundbeck, Takeda, Servier. Dr. Lépine has served on speaker bureaus for Servier, Pfizer-Wyeth, Sanofi, and Pierre Fabre. Dr. Ono has served on speaker bureaus for Pfizer, Meiji Seika Pharma, Mochida Tanake-Mitzubishi, Yosjitomi, Astrazeneca, Janssen Pharma, GlaxoSmithKline. Dr. Stein has received research grants and/or consultancy honoraria and/or served on speaker bureaus for Biocodex, Eli-Lilly, GlaxoSmithKline, Lundbeck, Pfizer, Servier, Solvay, and Wyeth. Dr. Kessler has been a consultant for Analysis Group, GlaxoSmithKline Inc., Kaiser Permanente, Merck & Co, Inc., Ortho-McNeil Janssen Scientific Affairs, Pfizer Inc., Sanofi-Aventis Groupe, Shire US Inc., SRA International, Inc., Takeda Global Research & Development, Transcept Pharmaceuticals Inc., Wellness and Prevention, Inc., and Wyeth-Ayerst; has served on advisory boards for Eli Lilly & Company, Mindsite, and Wyeth-Ayerst; and has had research support for his epidemiological studies from Analysis Group Inc., Bristol-Myers Squibb, Eli Lilly & Company, EPI-Q, Ortho-McNeil Janssen Scientific Affairs., Pfizer Inc., Sanofi-Aventis Groupe, and Shire US, Inc. He owns stock in Datastat, Inc.
References
- 1.Fava GA, Pilowsky I, Pierfederici A, et al. Depressive symptoms and abnormal illness behavior in general hospital patients. Gen Hosp Psychiatry. 1982;4:171–178. doi: 10.1016/0163-8343(82)90053-6. [DOI] [PubMed] [Google Scholar]
- 2.Perlis RH, Fraguas R, Fava M, et al. Prevalence and clinical correlates of irritability in major depressive disorder: a preliminary report from the Sequenced Treatment Alternatives to Relieve Depression study. J Clin Psychiatry. 2005;66:159–166. quiz 147, 273–154. [PubMed] [Google Scholar]
- 3.Pettit JW, Lewinsohn PM, Joiner TE., Jr Propagation of major depressive disorder: relationship between first episode symptoms and recurrence. Psychiatry Res. 2006;141:271–278. doi: 10.1016/j.psychres.2005.07.022. [DOI] [PubMed] [Google Scholar]
- 4.Fava M, Hwang I, Rush AJ, et al. The importance of irritability as a symptom of major depressive disorder: results from the National Comorbidity Survey Replication. Mol Psychiatry. 2010;15:856–867. doi: 10.1038/mp.2009.20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Preskorn SH, Baker B. The overlap of DSM-IV syndromes: potential implications for the practice of polypsychopharmacology, psychiatric drug development, and the human genome project. J Psychiatr Pract. 2002;8:170–177. doi: 10.1097/00131746-200205000-00006. [DOI] [PubMed] [Google Scholar]
- 6.Safer DJ. Irritable mood and the Diagnostic and Statistical Manual of Mental Disorders. Child Adolesc Psychiatry Ment Health. 2009;3:35. doi: 10.1186/1753-2000-3-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Perlis RH, Fava M, Trivedi MH, et al. Irritability is associated with anxiety and greater severity, but not bipolar spectrum features, in major depressive disorder. Acta Psychiatr Scand. 2009;119:282–289. doi: 10.1111/j.1600-0447.2008.01298.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Verhoeven FE, Booij L, Van der Wee NJ, et al. Clinical and physiological correlates of irritability in depression: results from the Netherlands Study of Depression and Anxiety. Depress Res Treat. 2011;2011:126895. doi: 10.1155/2011/126895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Blair-West GW, Mellsop GW. Major depression: does a gender-based down-rating of suicide risk challenge its diagnostic validity? Aust N Z J Psychiatry. 2001;35:322–328. doi: 10.1046/j.1440-1614.2001.00895.x. [DOI] [PubMed] [Google Scholar]
- 10.Hausmann A, Rutz W, Benke U. Women seek for help – men die! Is depression really a female disease? Neuropsychiatry. 2008;22:43–48. [PubMed] [Google Scholar]
- 11.Fava M, Nolan S, Kradin R, et al. Gender differences in hostility among depressed and medical outpatients. J Nerv Ment Dis. 1995;183:10–14. doi: 10.1097/00005053-199501000-00003. [DOI] [PubMed] [Google Scholar]
- 12.Niemi PM, Vainiomaki PT. Medical students’ distress–quality, continuity and gender differences during a six-year medical programme. Med Teach. 2006;28:136–141. doi: 10.1080/01421590600607088. [DOI] [PubMed] [Google Scholar]
- 13.Winkler D, Pjrek E, Kasper S. Anger attacks in depression–evidence for a male depressive syndrome. Psychother Psychosom. 2005;74:303–307. doi: 10.1159/000086321. [DOI] [PubMed] [Google Scholar]
- 14.Moller-Leimkuhler AM, Yucel M. Male depression in females? J Affect Disord. 2010;121:22–29. doi: 10.1016/j.jad.2009.05.007. [DOI] [PubMed] [Google Scholar]
- 15.Moller-Leimkuhler AM, Paulus NC, Heller J. Male depression in a population sample of young males. Risk and symptom profiles. Nervenarzt. 2007;78:641–642. 644–646, 648–650. doi: 10.1007/s00115-006-2173-0. [DOI] [PubMed] [Google Scholar]
- 16.Canino G, Alegria M. Psychiatric diagnosis – is it universal or relative to culture? J Child Psychol Psychiatry. 2008;49:237–250. doi: 10.1111/j.1469-7610.2007.01854.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Caplan S, Alvidrez J, Paris M, et al. Subjective versus objective: an exploratory analysis of latino primary care patients with self-perceived depression who do not fulfill primary care evaluation of mental disorders patient health questionnaire criteria for depression. Prim Care Companion J Clin Psychiatry. 2010;12:e1–e12. doi: 10.4088/PCC.09m00899blu. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kessler RC, Haro JM, Heeringa SG, et al. The World Health Organization World Mental Health Survey Initiative. Epidemiol Psichiatr Soc. 2006;15:161–166. doi: 10.1017/s1121189x00004395. [DOI] [PubMed] [Google Scholar]
- 19.The World Bank. Data and Statistics. 2009 Available at: http://go.worldbank.org/D7SN0B8YU0.
- 20.Heeringa SG, Wells EJ, Hubbard F, et al. Sample designs and sampling procedures. In: Kessler RC, Üstün TB, editors. The WHO World Mental Health Surveys: global perspectives on the epidemiology of mental disorders. New York, NY: Cambridge University Press; 2008. pp. 14–32. [Google Scholar]
- 21.Kessler RC, Üstün TB. The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) Int J Methods Psychiatr Res. 2004;13:93–121. doi: 10.1002/mpr.168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4. Washington, DC: American Psychiatric Association; 1994. DSM-IV. [Google Scholar]
- 23.Harkness J, Pennell BE, Villar A, et al. Translation procedures and translation assessment in the World Mental Health Survey Initiative. In: Kessler RC, Üstün TB, editors. The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders. New York, NY: Cambridge University Press; 2008. pp. 91–113. [Google Scholar]
- 24.Pennell B-E, Mneimneh Z, Bowers A, et al. Implementation of the World Mental Health Surveys. In: Kessler RC, Üstün TB, editors. The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders. New York: Cambridge University Press; 2008. pp. 33–57. [Google Scholar]
- 25.Haro JM, Arbabzadeh-Bouchez S, Brugha TS, et al. Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health surveys. Int J Methods Psychiatr Res. 2006;15:167–180. doi: 10.1002/mpr.196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.First MB, Spitzer RL, Gibbon M, et al. Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version, Non-Patient Edition (SCID-I/NP) New York, NY: Biometrics Research, New York State Psychiatric Institute; 2002. [Google Scholar]
- 27.Leon AC, Olfson M, Portera L, et al. Assessing psychiatric impairment in primary care with the Sheehan Disability Scale. Int J Psychiatry Med. 1997;27:93–105. doi: 10.2190/T8EM-C8YH-373N-1UWD. [DOI] [PubMed] [Google Scholar]
- 28.Hambrick JP, Turk CL, Heimberg RG, et al. Psychometric properties of disability measures among patients with social anxiety disorder. J Anxiety Disord. 2004;18:825–839. doi: 10.1016/j.janxdis.2003.10.004. [DOI] [PubMed] [Google Scholar]
- 29.Ormel J, Petukhova M, Chatterji S, et al. Disability and treatment of specific mental and physical disorders across the world. Br J Psychiatry. 2008;192:368–375. doi: 10.1192/bjp.bp.107.039107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Connor KM, Davidson JR. SPRINT: a brief global assessment of post-traumatic stress disorder. Int Clin Psychopharmacol. 2001;16:279–284. doi: 10.1097/00004850-200109000-00005. [DOI] [PubMed] [Google Scholar]
- 31.Pallanti S, Bernardi S, Quercioli L. The Shorter PROMIS Questionnaire and the Internet Addiction Scale in the assessment of multiple addictions in a high-school population: prevalence and related disability. CNS Spectr. 2006;11:966–974. doi: 10.1017/s1092852900015157. [DOI] [PubMed] [Google Scholar]
- 32.Willett JB, Singer JD. Investigating onset, cessation, relapse, and recovery: why you should, and how you can, use discrete-time survival analysis to examine event occurrence. J Consult Clin Psychol. 1993;61:952–965. doi: 10.1037//0022-006x.61.6.952. [DOI] [PubMed] [Google Scholar]
- 33.Wolter KM. Introduction to Variance Estimation. New York, NY: Springer-Verlag; 1985. [Google Scholar]
- 34.SAS Institute Inc. SAS/STAT® Software, Version 9.3 for Unix. Cary, NC: SAS Institute Inc.; 2011. [Google Scholar]
- 35.Bromet E, Andrade LH, Hwang I, et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC Med. 2011;9:90. doi: 10.1186/1741-7015-9-90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Donovan SJ, Nunes EV, Stewart JW, et al. “Outer-directed irritability”: a distinct mood syndrome in explosive youth with a disruptive behavior disorder? J Clin Psychiatry. 2003;64:698–701. doi: 10.4088/jcp.v64n0612. [DOI] [PubMed] [Google Scholar]
- 37.Snaith RP, Constantopoulos AA, Jardine MY, et al. A clinical scale for the self-assessment of irritability. Br J Psychiatry. 1978;132:164–171. doi: 10.1192/bjp.132.2.164. [DOI] [PubMed] [Google Scholar]
- 38.Benazzi F. Possible bipolar nature of irritability in major depressive disorder. J Clin Psychiatry. 2005;66:1072. doi: 10.4088/jcp.v66n0818a. [DOI] [PubMed] [Google Scholar]
- 39.Fava M, Uebelacker LA, Alpert JE, et al. Major depressive subtypes and treatment response. Biol Psychiatry. 1997;42:568–576. doi: 10.1016/S0006-3223(96)00440-4. [DOI] [PubMed] [Google Scholar]
- 40.Lam RW, Michalak EE, Bond DJ, et al. Which depressive symptoms and medication side effects are perceived by patients as interfering most with occupational functioning? Depress Res Treat. 2012;2012:630206. doi: 10.1155/2012/630206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Posternak MA, Zimmerman M. Anger and aggression in psychiatric outpatients. J Clin Psychiatry. 2002;63:665–672. doi: 10.4088/jcp.v63n0803. [DOI] [PubMed] [Google Scholar]