In 2022, around **** percent of females in the United States who died from suicide had a currently diagnosed mental health problem at the time of their death. This statistic depicts the distribution of U.S. suicides in 2022, by gender and mental health status.
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This study investigates whether worsening mental health has played a significant role in the rising mortality rates experienced by some population groups in the early 21st century, a question that has gained prominence with increased attention to so-called “deaths of despair.” The main takeaway is that although declining psychological health has likely contributed to adverse mortality trends—especially among prime-age non-Hispanic Whites—its overall impact is limited and not well captured by standard definitions of “deaths of despair.”
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Excess Under 75 Mortality Rates in Adults With Serious Mental Illness, Excess under 75 mortality rates in adults with serious mental illness - 2021 to 2023 This indicator is a measure of the extent to which adults with a serious mental illness (SMI) die younger than adults without a serious mental illness (nSMI). To measure premature mortality in adults diagnosed with a serious mental illness (SMI).
In 2024, the inpatient mortality rate due to mental health problems in Brazil amounted to **** percent, slightly different to the one recorded a year earlier. According to a survey carried out in the South American country during the last year depicted, nearly half of Brazilians interviewed thought of mental health as one of the biggest health concerns faced by people in Brazil.
Its thought this data mental illness and suicidal data (full credit) our word in data
Any one come and use visualize geo-spatial part
Age-adjustment mortality rates are rates of deaths that are computed using a statistical method to create a metric based on the true death rate so that it can be compared over time for a single population (i.e. comparing 2006-2008 to 2010-2012), as well as enable comparisons across different populations with possibly different age distributions in their populations (i.e. comparing Hispanic residents to Asian residents). Age adjustment methods applied to Montgomery County rates are consistent with US Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) as well as Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). PHS Planning and Epidemiology receives an annual data file of Montgomery County resident deaths registered with Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). Using SAS analytic software, MCDHHS standardizes, aggregates, and calculates age-adjusted rates for each of the leading causes of death category consistent with state and national methods and by subgroups based on age, gender, race, and ethnicity combinations. Data are released in compliance with Data Use Agreements between DHMH VSA and MCDHHS. This dataset will be updated Annually.
In 2021, over 20,000 women and approximately 9,600 thousand men aged 85 years and over died from mental and behavioral disorders in England and Wales. This statistic displays the number of deaths caused by mental and behavioral disorders in England and Wales in 2021, by gender and age.
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This indicator was put on hold in November 2016 until the introduction of the new mental health services data set (MHSDS) meant that a new indicator methodology could be developed. The indicator was republished with a new methodology in December 2020 and consequently comparisons should not be made to data published in 2016 and prior to this. In 2021 the methodology for this indicator was revised again, details of which can be found in the methodological change document within the resource links below. As such, comparisons between data using different methodologies should not be made. This indicator is a measure of the extent to which adults with a serious mental illness (SMI) die younger than adults without a serious mental illness (nSMI). To measure premature mortality in adults diagnosed with a serious mental illness (SMI). _ UPDATE February 2021: Two issues affecting the contextual information for indicator 1.5.i have been identified. Neither of these issues affected the indicator values and both have been corrected in the excel and CSV files for this indicator: Issue 1: The confidence intervals for the mental health mortality rate were originally calculated using Dobson’s method for counts where less than 389 deaths were observed. Although this is a valid method, the assured methodology for this indicator does not include this adjustment. The indicator specification has also been updated to remove reference to Dobson's method. Issue 2: There were some minor errors in the England level mental health population due to the inclusion of some duplicates.
The leading causes of death by sex and ethnicity in New York City in since 2007. Cause of death is derived from the NYC death certificate which is issued for every death that occurs in New York City. Report last ran: 09/24/2019 Rates based on small numbers (RSE > 30) as well as aggregate counts less than 5 have been suppressed in downloaded data Source: Bureau of Vital Statistics and New York City Department of Health and Mental Hygiene
This report uses 2009 to 2014 NSDUH data, and 1999 and 2009 to 2014 data from the National Vital Statistics System to examine the percentages of suicidal thoughts and behaviors versus suicidal death rates among the middle-aged.
Number of deaths caused by mental and behavioural disorders, by age group and sex, 2000 to most recent year.
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Table of directly (DSR) age-standardised rates of suicides per 100,000 population, and Indirectly (SMR) (Includes undetermined Injuries), all ages and age 15 plus, three year (pooled) average and annual, by sex.
Deaths from intentional self-harm and injury undetermined whether accidentally or purposely inflicted (ICD-10 X60-X84, Y10-Y34 exc Y33.9, ICD-9 E950-E959 and E980-E989 exc E988.8), registered in the respective calendar year(s).
DSR stands for Directly age-Standardised Rates.
Mortality rates are age standardised using the European Standard Population as defined by the World Health Organisation.
3 year average rates are calculated as the average of single year rates for 3 successive years.
Standardised Mortality Ratio (SMR), England = 100.
The annual rates at borough level are likely to be subject to relatively high levels of variability of numbers of suicides from year to year because of the relatively small numebrs of suicides that occur within boroughs. When comparing boroughs against each other, the three-year combined rate would provide a higher level of confidence.
NHS mental health information can be found here.
Various other suicide indicators are available from IC NHS website, including years of life lost, crude death rates, and indirectly standardised ratios (SMR). Follow: Compendium of population health indicators > Illness and Condition > Mental health and behavioural disorders
This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. The Division of Vital Records of the Maryland Department of Health and Mental Hygiene issues certified copies of birth - death - fetal death - and marriage certificates for events that occur in Maryland. The Division also provides divorce verifications. The Division provides information on procedures to follow for registering an adoption - legitimation - or an adjudication of paternity. Maryland Age-Adjusted All-Cause Mortality Rate - 2010-2012. *Age-adjusted to the 2000 U.S. standard population. Rate per 100 - 000 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Health/MD_VitalStatistics/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
This indicator is a measure of the extent to which adults with a serious mental illness (SMI) die younger than adults without a serious mental illness (nSMI). To measure premature mortality in adults diagnosed with serious mental illness (SMI). This indicator was put on hold in November 2016. The introduction of the new mental health services data set (MHSDS) meant that a new indicator methodology needed to be developed. The indicator was republished with new data in December 2020. The republished data uses a different methodology to the data published in 2016 and prior to this. As such, comparisons should not be made between the two. Legacy unique identifier: P01740
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ABSTRACT Objective To describe the epidemiological profile and analyze the time trend of suicide mortality among adolescents (10-19 years old) from the Brazilian Northeast, from 2001 to 2015. Methods This is an observational study, which took place in the Northeast region, Brazil. The study period was from 2001 to 2015. Deaths from intentional self-harm (X60 to X84). exogenous poisoning of undetermined intent (Y10 to Y19) and intentional self-harm (Y87.0) were considered, according to the 10th Review of the International Classification of Diseases (ICD-10), for adolescents aged 10 to 19 years. The variables analyzed were: sex, age group, race / color, specific ICD, state of residence and suicide mortality rate/100,000 inhabitants. Results There were 3,194 deaths due to suicide in the age group studied, with a male predominance (62.1%; n = 1,984), age group 15 to 19 years (84.8%; n = 2,707), race/brown color (65.4%; n = 2,090); between 4 and 7 years of schooling (31.7%; n = 1,011) and at CID X70 (47.8%; n = 1,528). The time trend of mortality was increasing from 2001 to 2015 (APC: 2.4%; p < 0.01), with higher rates in males. There was an increasing trend in the suicide rate, among men, throughout the period (AAPC: 2.9%; p < 0.01). In women, a decreasing trend was identified as of 2004 (APC: -2.2%; p < 0.01). Conclusion The epidemiological profile was characterized by male gender, age group 15-19 years, color/brown race and average schooling. The trend showed a growth pattern in males and a decline in females. It is recommended that public policies are aimed at the adolescent population.
Age-adjustment mortality rates are rates of deaths that are computed using a statistical method to create a metric based on the true death rate so that it can be compared over time for a single population (i.e. comparing 2006-2008 to 2010-2012), as well as enable comparisons across different populations with possibly different age distributions in their populations (i.e. comparing Hispanic residents to Asian residents).
Age adjustment methods applied to Montgomery County rates are consistent with US Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) as well as Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA).
PHS Planning and Epidemiology receives an annual data file of Montgomery County resident deaths registered with Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA).
Using SAS analytic software, MCDHHS standardizes, aggregates, and calculates age-adjusted rates for each of the leading causes of death category consistent with state and national methods and by subgroups based on age, gender, race, and ethnicity combinations. Data are released in compliance with Data Use Agreements between DHMH VSA and MCDHHS. This dataset will be updated Annually.
In 2022, there were around **** deaths from suicide per 100,000 population among males in the U.S. aged ** years and *****. Males aged 75 years and older were more likely to die from suicide than any other age group for both males and females. The suicide death rate for males in general is constantly greater than that for females. Suicide method by gender Not only do suicide rates differ by gender, but the method of suicide varies as well. Suicide by firearm accounts for ** percent of suicides among males, but only ** percent of those among females. However, suicide by poisoning accounts for a much larger share of suicides among females than males. In 2019, there were a total of ****** firearm suicides and ***** poisoning suicides. Substance abuse, mental health, and suicide Those who suffer from substance abuse and certain mental health disorders are at a much greater risk of falling victim to suicide. It’s been found that around ** percent of those with drug or alcohol dependence or abuse had serious thoughts of suicide in the past year, compared to just ***** percent of those with no such substance dependence of abuse. Similarly, around *** percent of those with a major depressive episode in the past year had attempted suicide, while only *** percent of those without a major depressive episode had done so.
Mortality rate has been age-adjusted to the 2000 U.S. standard population. ICD-10 codes used to identify suicides are X60-X84, Y87.0, and U03. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Suicide is a leading cause of preventable death in Los Angeles County, affecting individuals of all ages and races and ethnicities. While there is a strong association between suicide and health conditions, such as mood and anxiety disorders or substance use disorders, suicide is rarely caused by a single circumstance and is more often due to a combination of individual, relational, and environmental factors. Individual factors can include history of mental illness, previous suicide attempts, adverse childhood events, or financial hardship. Relational factors include experiences of bullying, loss of relationships, or social isolation. Environmental factors include lack of access to healthcare, community violence, or social stigma associated with seeking help for a mental illness.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.
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France Deaths: Men: Mental & Behavioral Disorders data was reported at 10,140.000 Person in 2015. This records an increase from the previous number of 8,880.000 Person for 2014. France Deaths: Men: Mental & Behavioral Disorders data is updated yearly, averaging 7,239.000 Person from Dec 1996 (Median) to 2015, with 20 observations. The data reached an all-time high of 10,140.000 Person in 2015 and a record low of 5,342.000 Person in 1997. France Deaths: Men: Mental & Behavioral Disorders data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.G058: Health Statistics: Causes of Death.
Following the death of a Veteran by suicide, BHAP receives post-mortem medical data and interviewee contact information from VHA suicide prevention coordinators. Data include relevant historical activities and related medical concerns as reviewed in the Veteran's medical record. Interviewees typically include a Veteran's family or close friends. Interviewee data includes behavioral information about the Veteran prior to their death. Data are collected at the VISN 2 Center of Excellence for Suicide Prevention and are cleaned, processed, and managed by statistical staff and program analysts on behalf of Mental Health Services.
In 2022, around **** percent of females in the United States who died from suicide had a currently diagnosed mental health problem at the time of their death. This statistic depicts the distribution of U.S. suicides in 2022, by gender and mental health status.