Epidemiology



Fig. 2.1
Public health burden of suicidal behavior among adults aged ≥18 years—United States, 2008 (Source Crosby et al. 2011). *Source CDC’s National Vital Statistics System. All rates per 100,000 population. § Agency for Healthcare Research and Quality’s Healthcare Cost and Utilization Project–Nationwide Inpatient Sample. ¶ CDC’s National Electronic Injury Surveillance System–All Injury Program





2.2 Suicide


Suicide is defined as the fatal event of self-directed violence. The death certificate is the source document for the identification of cases of suicide in epidemiologic studies and in vital statistics. Suicide, including accidental poisonings, on the death certificate in the “cause of death” field can be identified through the ICD-10 codes displayed in Table 2.1. In the UK, the definition of suicide includes deaths given an underlying cause of intentional self-harm or an injury/poisoning of undetermined intent. However, it cannot be applied to children due to the possibility that these deaths could have been attributed to neglect, abuse, or unverifiable accidents. The risk suicide is defined as the number of events of death from suicide in a defined population occurring at the same time the population was enumerated and multiplied by a factor of 10. Risk of suicide is represented as a rate measure when referring to the frequency of its occurrence in a general population, where:


Table 2.1
International classification of disease codes (ICD-10) for suicide—including accidental poisonings

















































General code groupings

X60–X84

Intentional self-harm

Y10–Y34

Injury/poisoning of undetermined intent

Y87.0–Y87.2

Sequelae of intentional self-harm /injury/poisoning of undetermined intent

Y87.0–Y87.2

Sequelae of intentional self-harm /injury /poisoning of undetermined intent

Specific intent codes

Accidental poisoning: ICD-9 codes E850-E854, E858, E862, E868; ICD-10 codes X40-X42, X46, X47

Poisoning with undetermined intent: ICD-10 codes Y10-Y12, Y16, Y17

Self-inflicted poisoning: ICD-9 codes E950-E952, ICD-10 codes X60-X69

Self-inflicted injury by hanging, strangulation, and suffocation: ICD-9 code E953, ICD-10 code X70

Self-inflicted injury by drowning: ICD-9 code E954, ICD-10 code X71

Self-inflicted injury by firearms and explosives: ICD-9 code E955, ICD-10 codes X72-X75

Self-inflicted injury by smoke, fire, flames, steam, hot vapors, and hot objects: ICD-9 codes E958.1, E958.2; ICD-10 codes X76, X77

Self-inflicted injury by cutting and piecing instruments: ICD-9 code E956; ICD-10 codes X78, X79

Self-inflicted injury by jumping from high places: ICD-9 code E957, ICD-10 code X80

Self-inflicted injury by jumping or lying before a moving object: ICD-9 code E958.0, ICD-10 code X81

Self-inflicted injury by crashing of motor vehicle: ICD-9 code E958.5, ICD-10-CA code X82

Self-inflicted injury by other and unspecified means: ICD-9 codes E958.3, E958.4, E958.6-E958.9; ICD-10 codes X83, X84

Late effects of self-inflicted injury: ICD-9 code E959

Rate = Number of events in a specified time interval/Average population during the same time interval × 10k

In 2010, the population of the U.S. was 308,746,000 and there were 38,364 deaths from suicide. Using the above formula and applying a power of 10 multiplier (10k) to convert the fraction into a rate (usually 100,000 for vital statistics), the suicide rate was 12.4 per 100,000 population. This means that for every 100,000 persons, there were about 12–13 suicides in this one year in the U.S.


2.2.1 Data Sources for Suicide Statistics


National vital statistics systems are the primary sources of country-specific suicide mortality statistics. These statistics are derived from a death certificate, the format and procedures for completing differ by regional laws and practices. The listing of a cause of death on a death certificate is influenced by many factors, including cultural factors, availability of an informant, provisions regarding confidentiality of the cause of death, and local laws governing forensic investigation. Death rates may also be affected by the age structure of a population and any temporal trends within age subgroups. In general, any suicide rate may be underestimated. For example, suicide rates generally exclude those aged <10 years (aged <15 years in the UK) because intent for self-harm is typically not attributed to young children. Thus, when interpreting suicide rates, it is important to keep in mind how these factors could influence the rate and use caution in interpreting rates across countries.

The World Health Organization (WHO) compiles suicide statistics by country. Data, search tools, and reports can be obtained through the Global Health Observation (GHO) at http://ww.who.int/GHO/. Data from the WHO reveal that suicide is a worldwide health problem with more than 800,000 people worldwide dying every year from suicide.

In the U.S., WISQARS TM (Web-based Injury Statistics Query and Reporting System) is an interactive database system that provides customized reports of suicide and other injury-related data. Suicide was the 10th leading cause of death among all ages and the leading cause of injury death in 2012. In Canada, CANSIM is a data base updated daily which provides the latest statistics for Canada, including health conditions. Suicide mortality data by age, gender, and year are available as downloadable tables.

In addition to recording death information in a vital records system, some countries and organizations have specialized surveillance systems or registries for obtaining more detailed information about a suicide event and its causes. In the U.S., surveillance data is obtained through the National Violent Death Reporting System (NVDRS). This system links information from death certificates, medical examiners, law enforcement, and forensic laboratories. Circumstances surrounding the suicide by age group, such as depressed mood, declining health, and disclosure of suicidal intent are compiled. The U.S. Department of Defense has a similar system and employs a more standardized and detailed collection of medical, military, and personal history information as a potential model for other organizations (Gahm et al. 2012). The National Suicide Registry in Malaysia also engages psychiatrics and staff members of psychiatric and mental health departments for the collection of the information on the demographics of the decedent, characteristics of the suicidal act, and risk factors (Hayati et al. 2008). The National Poison Data System is a near real-time surveillance database tracking poisonings and their sources in the U.S. Information is collected from calls b the public and health professionals to poison centers nationwide, consolidated, and evaluate Suspected suicide fatal (and non-fatal) cases are among the human exposure cases analyzed The system is maintained by the American Association of Poison Control Centers (www.​aapcc.​org) with annual reports published in the journal Clinical Toxicology.


2.2.2 Age, Sex, Race/Ethnicity, Geographical Region, and Other Population Subgroups


There is marked variation in suicide rates by age, sex, race/ethnicity, and geographic region.

By age group, among the highest suicide rates are noted to occur in midlife in Canada, the U.K., and the U.S. Suicide rates by age reveal a peak in adolescence in the U.S. (ONS 2014; Navaneelan 2012) (Fig. 2.2). In the U.S., the rates of suicide exceed homicide rates for all age groups except for the age groups of 18–24, where the homicide rate exceeds the suicide rate and for under age 10, where suicide rates are not reported (Fig. 2.2). In contrast, the highest suicides rates across European nations, the highest suicide rates are reported among people aged 65+ (21.9 per 100,000 population and those aged 45–59 (21.5 per 100,000 population) (WHO 2014). Higher rates have been reported among those aged 85 years and older in China ranging from 68.41 per 100,000 in large cities to 191.74 per 100,000 in rural areas (Simon et al. 2013).

A315723_1_En_2_Fig2_HTML.gif


Fig. 2.2
Suicide and Homicide Rates,* by Age Group—United States, 2009. MMWR:July 20, 2012:61(28);543. * Per 100,000 population in age group. Suicides are coded as *U03, X60–X84, and Y87.0, and homicides are coded as *U01–*U02, X85–Y09, and Y87.1 according to the International Classification of Diseases, 10th Revision. † 95 % confidence interval. § Suicide data for persons aged 0–9 years are suppressed based on a child’s inability to form and understand suicidal intent and consequences

The male predominance of suicide (as much as three times higher than females) is noted for all age groups across all nations with the exception in China, where overall it is higher among females (Table 2.2).


Table 2.2
Suicide rates per 100,000 by country, year and sex, for most recent year available as of 2011






























































































































































































































































































































































































































































Country

Year

Males

Females

Albania

03

4.7

3.3

Antigua and Barbuda

95

0

0

Argentina

08

12.6

3

Armenia

08

2.8

1.1

Australia

06

12.8

3.6

Austria

09

23.8

7.1

Azerbaijan

07

1

0.3

Bahamas

05

1.9

0.6

Bahrain

06

4

3.5

Barbados

06

7.3

0

Belarus

07

48.7

8.8

Belgium

05

28.8

10.3

Belize

08

6.6

0.7

Bosnia and Herzegovina

91

20.3

3.3

Brazil

08

7.7

2

Bulgaria

08

18.8

6.2

Canada

04

17.3

5.4

Chile

07

18.2

4.2

China (selected rural and urban areas)

99

13

14.8

China (Hong Kong Sar)

09

19

10.7

Colombia

07

7.9

2

Costa rica

09

10.2

1.9

Croatia

09

28.9

7.5

Cuba

08

19

5.5

Cyprus

08

7.4

1.7

Czech Republic

09

23.9

4.4

Denmark

06

17.5

6.4

Dominican Republic

05

3.9

0.7

Ecuador

09

10.5

3.6

Egypt

09

0.1

0

El salvador

08

12.9

3.6

Estonia

08

30.6

7.3

Finland

09

29

10

France

07

24.7

8.5

Georgia

09

7.1

1.7

Germany

06

17.9

6

Greece

09

6

1

Grenada

08

0

0

Guatemala

08

5.6

1.7

Guyana

06

39

13.4

Haiti

03

0

0

Honduras

78

0

0

Hungary

09

40

10.6

Iceland

08

16.5

7

India

09

13

7.8

Iran

91

0.3

0.1

Ireland

09

19

4.7

Israel

07

7

1.5

Italy

07

10

2.8

Jamaica

90

0.3

0

Japan

09

36.2

13.2

Jordan

08

0.2

0

Kazakhstan

08

43

9.4

Kuwait

09

1.9

1.7

Kyrgyzstan

09

14.1

3.6

Latvia

09

40

8.2

Lithuania

09

61.3

10.4

Luxembourg

08

16.1

3.2

Maldives

05

0.7

0

Malta

08

5.9

1

Mauritius

08

11.8

1.9

Mexico

08

7

1.5

Netherlands

09

13.1

5.5

New Zealand

07

18.1

5.5

Nicaragua

06

9

2.6

Norway

09

17.3

6.5

Panama

08

9

1.9

Paraguay

08

5.1

2

Peru

07

1.9

1

Philippines

93

2.5

1.7

Poland

08

26.4

4.1

Portugal

09

15.6

4

Puerto Rico

05

13.2

2

Republic of Korea

09

39.9

22.1

Republic of Moldova

08

30.1

5.6

Romania

09

21

3.5

Russian Federation

06

53.9

9.5

Saint Kitts and Nevis

95

0

0

Saint Lucia

05

4.9

0

Saint vincent and the Grenadines

08

5.4

1.9

Sao Tome and principe

87

0

1.8

Serbia

09

28.1

10

Seychelles

08

8.9

0

Singapore

06

12.9

7.7

Slovakia

05

22.3

3.4

Slovenia

09

34.6

9.4

South Africa

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Mar 16, 2017 | Posted by in NEUROLOGY | Comments Off on Epidemiology

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