The epidemiology of depression has been studied across the world. Depression is a major cause of morbidity and mortality worldwide, as the epidemiology has shown. [1] Lifetime prevalence estimates vary widely, from 3% in Japan to 17% in India. Epidemiological data shows higher rates of depression in the Middle East, North Africa, South Asia and the United States than in other regions and countries. [2] For most countries among the 10 studied, the number of people who experience depression during their lifetimes falls within an 8–12% range. [3] [4]
In North America, the probability of having a major depressive episode within any year-long period is 3–5% for males and 8–10% for females. [5] [6]
Population studies have consistently shown major depression to be about twice as common in women as in men, although it is not yet clear why this is so. [7] The relative increase in occurrence is related to pubertal development rather than chronological age, reaches adult ratios between the ages of 15 and 18, and appears associated with psychosocial more than hormonal factors. [7]
People are most likely to suffer their first depressive episode between the ages of 30 and 40, and there is a second, smaller peak of incidence between ages 50 and 60. [8] The risk of major depression is increased with neurological conditions such as stroke, Parkinson's disease, or multiple sclerosis and during the first year after childbirth. [9] The risk of major depression has also been related to environmental stressors faced by population groups such as war combatants or physicians in training. [10] [11]
It is also more common after cardiovascular illnesses, and is related to a poor outcome of cardiovascular diseases. [12] [13] Studies conflict on the prevalence of depression in the elderly, but most data suggest there is a reduction in this age group. [14] Depressive disorders are most common in urban than in rural population and, in general, the prevalence is higher in groups with adverse socio-economic factors (for example in homeless people). [15]
Data on the relative prevalence of major depression among different ethnic groups have reached no clear consensus. However, the only known study to have covered dysthymia in the US specifically found it to be more common in African and Mexican Americans than in European Americans. [16]
Projections indicate that depression may be the second leading cause of life lost after heart disease by 2020. [17]
In 2016, a study, published by JAMA Psychiatry, and written by Charlotte Wessel Skovlund, found an association between hormonal contraception and depression. [18]
Age-standardised disability-adjusted life year (DALY) rates per 10,000 inhabitants in 2017. [19]
Category | 1990 | 2017 | Absolute change | Relative change |
---|---|---|---|---|
Afghanistan | 439.81 | 443.57 | +3.75 | <1% |
Albania | 306.48 | 308.44 | +1.96 | <1% |
Algeria | 454.02 | 455.36 | +1.34 | <1% |
American Samoa | 299.00 | 301.44 | +2.43 | <1% |
Andean Latin America | 395.14 | 395.61 | +0.47 | <1% |
Andorra | 462.69 | 466.65 | +3.96 | <1% |
Angola | 300.38 | 307.07 | +6.68 | +2% |
Antigua and Barbuda | 423.69 | 423.07 | –0.63 | >–1% |
Argentina | 554.67 | 555.27 | +0.60 | <1% |
Armenia | 235.57 | 235.64 | +0.07 | <1% |
Australasia | 588.29 | 588.66 | +0.36 | <1% |
Australia | 564.71 | 564.13 | –0.58 | >–1% |
Austria | 473.10 | 470.30 | –2.81 | >–1% |
Azerbaijan | 237.12 | 235.03 | –2.09 | >–1% |
Bahamas | 426.25 | 425.91 | –0.34 | >–1% |
Bahrain | 428.36 | 426.75 | –1.61 | >–1% |
Bangladesh | 390.09 | 399.43 | +9.34 | +2% |
Barbados | 427.13 | 425.42 | –1.71 | >–1% |
Belarus | 262.09 | 261.92 | –0.16 | >–1% |
Belgium | 454.81 | 453.91 | –0.90 | >–1% |
Belize | 417.94 | 421.10 | +3.16 | <1% |
Benin | 270.23 | 272.67 | +2.43 | <1% |
Bermuda | 425.79 | 426.62 | +0.83 | <1% |
Bhutan | 348.85 | 351.02 | +2.17 | <1% |
Bolivia | 393.70 | 393.43 | –0.27 | >–1% |
Bosnia and Herzegovina | 308.44 | 307.51 | –0.92 | >–1% |
Botswana | 321.91 | 319.57 | –2.34 | >–1% |
Brazil | 513.45 | 554.75 | +41.30 | +8% |
Brunei | 315.25 | 318.63 | +3.37 | +1% |
Bulgaria | 325.36 | 325.40 | +0.04 | <1% |
Burkina Faso | 269.71 | 273.79 | +4.07 | +2% |
Burundi | 340.21 | 335.02 | –5.19 | –2% |
Cambodia | 306.36 | 306.09 | –0.26 | >–1% |
Cameroon | 269.81 | 271.78 | +1.97 | <1% |
Canada | 484.22 | 450.76 | –33.46 | –7% |
Cape Verde | 278.10 | 274.58 | –3.52 | –1% |
Caribbean | 422.38 | 421.72 | –0.66 | >–1% |
Central African Republic | 300.76 | 303.45 | +2.69 | <1% |
Central Asia | 235.74 | 234.85 | –0.89 | >–1% |
Central Europe | 307.09 | 306.99 | –0.09 | >–1% |
Central Europe, Eastern Europe, and Central Asia | 271.76 | 268.25 | –3.51 | –1% |
Central Latin America | 264.02 | 270.29 | +6.27 | +2% |
Central Sub-Saharan Africa | 300.88 | 304.43 | +3.55 | +1% |
Chad | 270.61 | 269.81 | -0.80 | >–1% |
Chile | 553.66 | 550.58 | –3.08 | >–1% |
China | 289.57 | 275.39 | –14.18 | –5% |
Colombia | 244.81 | 230.00 | –14.81 | –6% |
Comoros | 334.19 | 339.17 | +4.98 | +1% |
Congo | 303.07 | 304.40 | +1.33 | <1% |
Costa Rica | 264.62 | 267.24 | +2.62 | <1% |
Côte d'Ivoire | 266.99 | 269.37 | +2.38 | <1% |
Croatia | 310.58 | 309.13 | –1.45 | >–1% |
Cuba | 421.37 | 421.70 | +0.33 | <1% |
Cyprus | 470.31 | 472.29 | +1.98 | <1% |
Czechia | 309.12 | 307.16 | –1.96 | >–1% |
Democratic Republic of Congo | 300.71 | 303.61 | +2.90 | <1% |
Denmark | 470.42 | 469.49 | –0.93 | >–1% |
Djibouti | 327.85 | 330.88 | +3.03 | <1% |
Dominica | 422.36 | 418.16 | –4.20 | >–1% |
Dominican Republic | 424.23 | 420.58 | –3.65 | >–1% |
East Asia | 290.12 | 276.32 | –13.80 | –5% |
Eastern Europe | 262.88 | 262.56 | –0.32 | >–1% |
Eastern Sub-Saharan Africa | 336.34 | 340.89 | +4.55 | +1% |
Ecuador | 395.69 | 396.44 | +0.75 | <1% |
Egypt | 398.29 | 398.86 | +0.57 | <1% |
El Salvador | 266.25 | 270.06 | +3.81 | +1% |
England | 395.05 | 395.14 | +0.09 | <1% |
Equatorial Guinea | 304.76 | 303.81 | -0.94 | >–1% |
Eritrea | 331.15 | 339.69 | +8.54 | +3% |
Estonia | 261.91 | 261.21 | -0.70 | >–1% |
Eswatini | 322.64 | 318.73 | –3.90 | –1% |
Ethiopia | 347.39 | 349.31 | +1.92 | <1% |
Fiji | 299.92 | 300.46 | +0.54 | <1% |
Finland | 333.44 | 329.68 | –3.76 | –1% |
France | 576.00 | 576.03 | +0.03 | <1% |
Gabon | 303.27 | 306.57 | +3.31 | +1% |
Gambia | 268.55 | 271.49 | +2.94 | +1% |
Georgia | 238.24 | 235.38 | –2.87 | –1% |
Germany | 564.54 | 565.03 | +0.48 | <1% |
Ghana | 272.17 | 274.68 | +2.51 | <1% |
Greece | 512.06 | 511.19 | –0.87 | >–1% |
Greenland | 492.10 | 500.98 | +8.89 | +2% |
Grenada | 423.74 | 417.51 | –6.23 | –1% |
Guam | 299.44 | 301.30 | +1.86 | <1% |
Guatemala | 263.12 | 267.56 | +4.45 | +2% |
Guinea | 271.79 | 273.08 | +1.29 | <1% |
Guinea-Bissau | 271.17 | 272.76 | +1.59 | <1% |
Guyana | 418.26 | 420.11 | +1.84 | <1% |
Haiti | 417.74 | 420.25 | +2.50 | <1% |
High SDI | 462.62 | 463.66 | +1.04 | <1% |
High-income | 489.63 | 494.52 | +4.89 | <1% |
High-income Asia Pacific | 318.28 | 318.18 | –0.10 | >–1% |
High-middle SDI | 329.26 | 342.11 | +12.86 | +4% |
Honduras | 264.60 | 266.37 | +1.77 | <1% |
Hungary | 308.84 | 309.31 | +0.47 | <1% |
Iceland | 469.33 | 469.26 | –0.06 | >–1% |
India | 309.28 | 306.76 | –2.53 | >–1% |
Indonesia | 304.31 | 304.18 | –0.12 | >–1% |
Iran | 689.12 | 692.26 | –6.25 | >–1% |
Iraq | 427.22 | 430.09 | +2.87 | <1% |
Ireland | 506.29 | 511.29 | +5.00 | <1% |
Israel | 274.39 | 274.00 | –0.40 | >–1% |
Italy | 512.79 | 499.21 | –13.58 | –3% |
Jamaica | 424.62 | 422.32 | –2.30 | >–1% |
Japan | 257.27 | 224.62 | –12.69 | >–1% |
Jordan | 447.61 | 445.91 | –1.70 | >–1% |
Kazakhstan | 235.88 | 236.01 | +0.13 | <1% |
Kenya | 337.41 | 339.52 | +2.10 | <1% |
Kiribati | 302.20 | 303.25 | +1.04 | <1% |
Kuwait | 430.22 | 444.44 | +14.22 | +3% |
Kyrgyzstan | 235.31 | 235.09 | –0.22 | >–1% |
Laos | 388.45 | 390.62 | +2.17 | <1% |
Latin America and Caribbean | 393.06 | 405.65 | +12.59 | +3% |
Latvia | 261.95 | 261.48 | –0.46 | >–1% |
Lebanon | 545.72 | 547.07 | +1.35 | <1% |
Lesotho | 320.94 | 318.40 | –2.54 | >–1% |
Liberia | 266.73 | 267.44 | +0.71 | <1% |
Libya | 443.86 | 449.94 | +6.08 | +1% |
Lithuania | 261.63 | 261.43 | –0.19 | >–1% |
Low SDI | 326.04 | 329.76 | +3.72 | +1% |
Low-middle SDI | 332.91 | 337.68 | +4.77 | +1% |
Luxembourg | 468.43 | 467.04 | –1.39 | >–1% |
Madagascar | 332.44 | 336.98 | +4.53 | +1% |
Malawi | 335.11 | 341.69 | +6.58 | +2% |
Malaysia | 392.10 | 389.83 | –2.26 | >–1% |
Maldives | 295.24 | 291.29 | –3.96 | –1% |
Mali | 268.90 | 270.70 | +1.80 | <1% |
Malta | 472.67 | 468.46 | –4.21 | >–1% |
Marshall Islands | 299.32 | 299.31 | –0.02 | >–1% |
Mauritania | 272.46 | 273.97 | +1.51 | <1% |
Mauritius | 303.11 | 302.78 | –0.33 | >–1% |
Mexico | 271.36 | 289.05 | +17.69 | +7% |
Micronesia (country) | 299.20 | 299.84 | +0.64 | <1% |
Middle SDI | 306.44 | 306.98 | +0.54 | <1% |
Moldova | 260.72 | 261.03 | +0.31 | <1% |
Mongolia | 233.62 | 234.85 | +1.23 | <1% |
Montenegro | 309.18 | 308.71 | –0.47 | >–1% |
Morocco | 452.71 | 453.82 | +1.11 | <1% |
Mozambique | 336.20 | 341.61 | +5.41 | +2% |
Myanmar | 300.93 | 307.06 | +6.13 | +2% |
Namibia | 320.84 | 322.18 | +1.34 | <1% |
Nepal | 348.75 | 359.13 | +10.38 | +3% |
Netherlands | 579.45 | 578.84 | –0.62 | >–1% |
New Zealand | 705.21 | 722.98 | +17.77 | +3% |
Nicaragua | 264.58 | 265.73 | +1.15 | <1% |
Niger | 271.34 | 272.82 | +1.47 | <1% |
Nigeria | 268.96 | 272.57 | +3.61 | +1% |
North Africa and Middle East | 448.40 | 450.80 | +2.39 | <1% |
North America | 561.85 | 561.25 | –0.60 | >–1% |
North Korea | 304.06 | 297.84 | –6.22 | –2% |
North Macedonia | 308.26 | 307.40 | –0.86 | >–1% |
Northern Ireland | 651.12 | 660.19 | +9.07 | +1% |
Northern Mariana Islands | 296.39 | 300.91 | +4.52 | +2% |
Norway | 673.49 | 665.89 | –7.59 | –1% |
Oceania | 296.33 | 297.51 | +1.18 | <1% |
Oman | 421.68 | 413.70 | –7.97 | –2% |
Pakistan | 349.19 | 353.29 | +4.10 | +1% |
Palestine | 455.01 | 451.42 | –3.59 | >–1% |
Panama | 263.33 | 264.25 | +0.92 | <1% |
Papua New Guinea | 294.77 | 296.24 | +1.48 | <1% |
Paraguay | 553.15 | 552.96 | –0.19 | >–1% |
Peru | 395.29 | 395.88 | +0.59 | <1% |
Philippines | 302.25 | 302.49 | +0.24 | <1% |
Poland | 309.40 | 309.37 | –0.04 | >–1% |
Portugal | 472.59 | 473.61 | +1.01 | <1% |
Puerto Rico | 427.30 | 425.85 | –1.45 | >–1% |
Qatar | 403.81 | 391.06 | –12.75 | –3% |
Romania | 292.12 | 292.61 | +0.49 | <1% |
Russia | 262.99 | 262.58 | –0.42 | >–1% |
Rwanda | 338.57 | 343.75 | +5.18 | +2% |
Saint Lucia | 424.55 | 421.42 | –3.13 | >–1% |
Saint Vincent and the Grenadines | 421.10 | 417.18 | –3.92 | >–1% |
Samoa | 299.55 | 300.51 | +0.96 | <1% |
São Tomé and Príncipe | 273.98 | 273.61 | –0.37 | >–1% |
Saudi Arabia | 430.80 | 435.29 | +4.49 | +1% |
Scotland | 421.09 | 419.01 | –2.08 | >–1% |
Senegal | 271.34 | 271.99 | +0.66 | <1% |
Serbia | 308.40 | 307.93 | –0.47 | >–1% |
Seychelles | 305.21 | 300.90 | –4.30 | –1% |
Sierra Leone | 271.01 | 270.96 | –0.05 | >–1% |
Singapore | 319.22 | 326.20 | +6.98 | +2% |
Slovakia | 309.64 | 309.22 | –0.42 | >–1% |
Slovenia | 309.55 | 306.52 | –3.03 | >-1% |
Solomon Islands | 296.00 | 298.91 | +2.91 | <1% |
Somalia | 327.47 | 333.31 | +5.84 | +2% |
South Africa | 367.94 | 365.43 | –2.51 | >–1% |
South Asia | 320.86 | 320.95 | +0.09 | <1% |
South Korea | 338.46 | 335.96 | –2.50 | >–1% |
South Sudan | 317.40 | 329.08 | +11.67 | +4% |
Southeast Asia | 291.86 | 292.91 | +1.05 | <1% |
Southeast Asia, East Asia, and Oceania | 289.93 | 280.40 | –9.53 | –3% |
Southern Latin America | 554.25 | 554.08 | –0.18 | >–1% |
Southern Sub-Saharan Africa | 349.41 | 348.08 | –1.33 | >–1% |
Spain | 444.92 | 463.69 | +18.77 | +4% |
Sri Lanka | 301.85 | 307.85 | +6.00 | +2% |
Sub-Saharan Africa | 307.47 | 308.98 | +1.51 | <1% |
Sudan | 452.15 | 452.80 | +0.65 | <1% |
Suriname | 419.61 | 421.18 | +1.57 | <1% |
Sweden | 469.30 | 467.41 | –1.89 | >–1% |
Switzerland | 468.85 | 468.55 | –0.30 | >–1% |
Syria | 452.10 | 453.39 | +1.29 | <1% |
Taiwan | 307.25 | 306.89 | –0.36 | >–1% |
Tajikistan | 234.35 | 232.74 | –1.62 | >–1% |
Tanzania | 335.95 | 341.24 | +5.30 | +2% |
Thailand | 305.63 | 306.91 | +1.28 | <1% |
Timor | 295.90 | 300.52 | +4.63 | +2% |
Togo | 272.10 | 274.16 | +2.05 | <1% |
Tonga | 302.76 | 302.51 | –0.25 | >–1% |
Trinidad and Tobago | 419.97 | 419.20 | –0.77 | >–1% |
Tropical Latin America | 514.41 | 554.73 | +40.32 | +8% |
Tunisia | 455.67 | 459.67 | +4.00 | <1% |
Turkey | 342.96 | 352.71 | +9.74 | +3% |
Turkmenistan | 236.15 | 233.30 | –2.85 | –1% |
Uganda | 317.76 | 330.35 | +12.59 | +4% |
Ukraine | 263.10 | 262.92 | –0.18 | >–1% |
United Arab Emirates | 390.77 | 386.30 | –4.46 | –1% |
United Kingdom | 406.06 | 406.09 | +0.03 | <1% |
United States | 570.31 | 573.38 | +3.06 | <1% |
United States Virgin Islands | 428.12 | 428.10 | –0.02 | >–1% |
Uruguay | 555.13 | 557.10 | +1.96 | <1% |
Uzbekistan | 234.56 | 234.50 | –0.05 | >–1% |
Vanuatu | 295.97 | 298.94 | +2.97 | +1% |
Venezuela | 265.18 | 264.86 | –0.32 | >–1% |
Vietnam | 192.79 | 192.17 | –0.62 | >–1% |
Wales | 423.11 | 421.79 | –1.32 | >–1% |
Western Europe | 502.89 | 499.26 | –3.63 | >–1% |
Western Sub-Saharan Africa | 269.65 | 272.36 | +2.70 | +1% |
World | 348.53 | 345.69 | –2.84 | >–1% |
Yemen | 442.49 | 446.34 | +3.85 | <1% |
Zambia | 334.01 | 337.31 | +3.30 | <1% |
Zimbabwe | 286.38 | 286.72 | +0.34 | <1% |
Major depressive disorder (MDD), also known as clinical depression, is a mental disorder characterized by at least two weeks of pervasive low mood, low self-esteem, and loss of interest or pleasure in normally enjoyable activities. Introduced by a group of US clinicians in the mid-1970s, the term was adopted by the American Psychiatric Association for this symptom cluster under mood disorders in the 1980 version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-III), and has become widely used since. The disorder causes the second-most years lived with disability, after lower back pain.
A mood disorder, also known as an affective disorder, is any of a group of conditions of mental and behavioral disorder where the main underlying characteristic is a disturbance in the person's mood. The classification is in the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD).
Depression is a mental state of low mood and aversion to activity. It affects about 3.5% of the global population, or about 280 million people of all ages. Depression affects a person's thoughts, behavior, feelings, and sense of well-being. Experiences that would normally bring a person pleasure or joy give reduced pleasure or joy, and the afflicted person often experiences a loss of motivation or interest in those activities.
Adjustment disorder is a maladaptive response to a psychosocial stressor. It is classified as a mental disorder. The maladaptive response usually involves otherwise normal emotional and behavioral reactions that manifest more intensely than usual, causing marked distress, preoccupation with the stressor and its consequences, and functional impairment.
Beck's cognitive triad, also known as the negative triad, is a cognitive-therapeutic view of the three key elements of a person's belief system present in depression. It was proposed by Aaron Beck in 1967. The triad forms part of his cognitive theory of depression and the concept is used as part of CBT, particularly in Beck's "Treatment of Negative Automatic Thoughts" (TNAT) approach.
Atypical depression is defined in the DSM-IV as depression that shares many of the typical symptoms of major depressive disorder or dysthymia but is characterized by improved mood in response to positive events. In contrast to those with atypical depression, people with melancholic depression generally do not experience an improved mood in response to normally pleasurable events. Atypical depression also often features significant weight gain or an increased appetite, hypersomnia, a heavy sensation in the limbs, and interpersonal rejection sensitivity that results in significant social or occupational impairment.
Psychiatric epidemiology is a field which studies the causes (etiology) of mental disorders in society, as well as conceptualization and prevalence of mental illness. It is a subfield of the more general epidemiology. It has roots in sociological studies of the early 20th century. However, while sociological exposures are still widely studied in psychiatric epidemiology, the field has since expanded to the study of a wide area of environmental risk factors, such as major life events, as well as genetic exposures. Increasingly neuroscientific techniques like MRI are used to explore the mechanisms behind how exposures to risk factors may impact psychological problems and explore the neuroanatomical substrate underlying psychiatric disorders.
In statistics, the Newcastle–Ottawa scale is a tool used for assessing the quality of non-randomized studies included in a systematic review and/or meta-analyses. Using the tool, each study is judged on eight items, categorized into three groups: the selection of the study groups; the comparability of the groups; and the ascertainment of either the exposure or outcome of interest for case-control or cohort studies respectively. Stars awarded for each quality item serve as a quick visual assessment. Stars are awarded such that the highest quality studies are awarded up to nine stars. The method was developed as a collaboration between the University of Newcastle, Australia, and the University of Ottawa, Canada, using a Delphi process to define variables for data extraction. The scale was then tested on systematic reviews and further refined. Separate tools were developed for cohort and case–control studies. It has also been adapted for prevalence studies.
Jeffrey H. Meyer is a scientist and professor working with mood and anxiety disorders using neuroimaging at the Department of Psychiatry, University of Toronto. He is currently the head of the Neurochemical Imaging Program in Mood and Anxiety Disorders in the Brain Health Imaging Centre at the Campbell Family Mental Health Research Institute and is working as a Senior Scientist in the General and Health Systems Psychiatry Division at the Centre for Addiction and Mental Health. He has also been awarded with the Tier 1 Canada Research Chair in the Neurochemistry of Major Depression.
The prevalence of mental disorders has been studied around the world, providing estimates on how common mental disorders are. Different criteria or thresholds of severity have sometimes been used.
A hyperintensity or T2 hyperintensity is an area of high intensity on types of magnetic resonance imaging (MRI) scans of the brain of a human or of another mammal that reflect lesions produced largely by demyelination and axonal loss. These small regions of high intensity are observed on T2 weighted MRI images within cerebral white matter or subcortical gray matter. The volume and frequency is strongly associated with increasing age. They are also seen in a number of neurological disorders and psychiatric illnesses. For example, deep white matter hyperintensities are 2.5 to 3 times more likely to occur in bipolar disorder and major depressive disorder than control subjects. WMH volume, calculated as a potential diagnostic measure, has been shown to correlate to certain cognitive factors. Hyperintensities appear as "bright signals" on an MRI image and the term "bright signal" is occasionally used as a synonym for a hyperintensity.
A depression rating scale is a psychometric instrument (tool), usually a questionnaire whose wording has been validated with experimental evidence, having descriptive words and phrases that indicate the severity of depression for a time period. When used, an observer may make judgements and rate a person at a specified scale level with respect to identified characteristics. Rather than being used to diagnose depression, a depression rating scale may be used to assign a score to a person's behaviour where that score may be used to determine whether that person should be evaluated more thoroughly for a depressive disorder diagnosis. Several rating scales are used for this purpose.
Major depressive disorder, often simply referred to as depression, is a mental disorder characterized by prolonged unhappiness or irritability. It is accompanied by a constellation of somatic and cognitive signs and symptoms such as fatigue, apathy, sleep problems, loss of appetite, loss of engagement, low self-regard/worthlessness, difficulty concentrating or indecisiveness, or recurrent thoughts of death or suicide.
Depression, one of the most commonly diagnosed psychiatric disorders, is being diagnosed in increasing numbers in various segments of the population worldwide. Depression in the United States alone affects 17.6 million Americans each year or 1 in 6 people. Depressed patients are at increased risk of type 2 diabetes, cardiovascular disease and suicide. Within the next twenty years depression is expected to become the second leading cause of disability worldwide and the leading cause in high-income nations, including the United States. In approximately 75% of suicides, the individuals had seen a physician within the prior year before their death, 45–66% within the prior month. About a third of those who died by suicide had contact with mental health services in the prior year, a fifth within the preceding month.
The World Health Organization Composite International Diagnostic Interview (CIDI) is a structured interview for psychiatric disorders. As the interview is designed for epidemiological studies, it can be administered by those who are not clinically trained and can be completed in a short amount of time. Versions of the CIDI were used in two important studies, the National Comorbidity Survey (NCS) and National Comorbidity Survey Replication (NCS-R) which are often used as a reference for estimates of the rates of psychiatric illness in the USA. The first version of the CIDI was published in 1988, and has been periodically updated to reflect the changing diagnostic criteria of DSM and ICD.
The signs and symptoms of Graves' disease generally result from the direct and indirect effects of hyperthyroidism, although they can also be caused by other thyroidal conditions, such as Graves' ophthalmopathy, goitre and pretibial myxedema. These clinical manifestations can involve virtually every system in the body.
Glyn Lewis is a British professor of psychiatric epidemiology and the current head of the Division of Psychiatry at University College London
Sex differences in schizophrenia are widely reported. Men and women exhibit different rates of incidence and prevalence, age at onset, symptom expression, course of illness, and response to treatment. Reviews of the literature suggest that understanding the implications of sex differences on schizophrenia may help inform individualized treatment and positively affect outcomes.
Patricia A. Berglund is a researcher at the University of Michigan's Institute for Social Research. She was included in the 2014, 2015 and 2016 Clarivate Analytics lists of "highly cited researchers" in the fields of psychiatry and psychology.
Myrna Milgram Weissman is Diane Goldman Kemper Family Professor of Epidemiology in Psychiatry at the Vagelos College of Physicians and Surgeons and Mailman School of Public Health, Columbia University, and Chief of the Division of Translational Epidemiology at the New York State Psychiatric Institute. She is an epidemiologist known for her research on the prevalence of psychiatric disorders and psychiatric epidemiology, as it pertains to rates and risks of anxiety and mood disorders across generations. Among her many influential works are longitudinal studies of the impact of parental depression on their children.
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