Poland Deaths: Urban: EC: ow Intentional Self Harm data was reported at 2,421.000 Person in 2023. This records an increase from the previous number of 2,329.000 Person for 2022. Poland Deaths: Urban: EC: ow Intentional Self Harm data is updated yearly, averaging 2,841.000 Person from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 3,383.000 Person in 2009 and a record low of 2,208.000 Person in 2018. Poland Deaths: Urban: EC: ow Intentional Self Harm data remains active status in CEIC and is reported by Statistics Poland. The data is categorized under Global Database’s Poland – Table PL.G006: Deaths: By Cause.

This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2). Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics. ICD–10: External cause of injury mortality matrix. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

IntroductionSuicide remains a significant public health problem worldwide, particularly in Eastern European countries. Previous studies have shown that nonsuicidal self-injury (NSSI) is one of the most important risk factors for suicide attempts, particularly among people with mental disorders. At the same time, the risk of various dramatic outcomes, including suicide, is likely to vary among different NSSI subtypes. The aim of this study was to evaluate the relationships between NSSI parameters and clinical/psychological variables in Russian patients with non-psychotic mental disorders and suicidal ideation.MethodsThe Inventory of Statements About Self-Injury-1 (ISAS) was translated and adapted in the sample of Russian patients with NSSI. The study sample consisted of 614 consecutively enrolled patients with NSSI and suicidal ideation. The data were clustered based on the method and frequency of NSSI, and the relationships between frequency and method patterns and other NSSI parameters (age at onset of NSSI, experience of physical pain during NSSI, etc.), clinical characteristics (anxiety and depression levels, psychiatric diagnosis), psychological profiles, and quality of life were evaluated.ResultsCluster analysis identified three subtypes of NSSI. Patients with a greater frequency and variety of methods of NSSI attempted suicide more often, were more clinically severe, had significantly higher scores on most pathological personality traits, had less resilience to suicide, and had a lower quality of life.DiscussionOur findings support the need for a high level of clinical attention to people with mental disorders who frequently engage in NSSI using a variety of methods. The significant differences in many of the parameters studied between the other two clusters highlighted the importance of further research into the typologization of NSSI behavior, which could lead to increased certainty in the prognosis of NSSI patients and become the basis for targeted therapy.

Analysis of ‘NCHS - Injury Mortality: United States’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8dc5d5f6-9799-4230-9a90-7d7d77853cbe on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2).

Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.

SOURCES

CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

--- Original source retains full ownership of the source dataset ---

ABSTRACT Objectives: Analyze the suicide mortality time trends among adolescents in Brazil from 2000 to 2015. Methods: Data were collected from the Brazilian Mortality Database and from the Brazilian Institute of Geography and Statistics. Study variables were sex, year and underlying cause of death. The study included deaths from Intentional Self-Harm, X60-X84 – according to the 10th Revision of the International Classification of Diseases (ICD-10), of adolescents aged 10 to 19. The simple linear regression technique was used and results were considered statistically significant when p ≤ 5%. Results: From 2000 to 2015, there were 11,947 deaths due to suicide of adolescents in Brazil and 67% of these occurred in male adolescents, which corresponds to a 2,06:1 male-female ratio. There was a statistically significant increase in adolescent suicide mortality in Brazil (p = 0.016), which increased from 1.71 per 100,000 inhabitants in 2000 to 2.51 in 2015, a raise of 47%. The increase occurred in behalf of the increment in suicides of male adolescents (p = 0.001) specifically in the North (p < 0.001) and Northeast (p < 0.001) of Brazil. In regard to the female group, there was a downtrend of mortality by suicide in the Center West region (p = 0.039), but when it comes to Brazil as a whole, there was a stabilization behavior of mortality by suicide. Conclusions: These results indicate an increase in the suicide rate of adolescents in Brazil, particularly in the male population. The improvement of suicide prevention strategies in Brazil is imperative.

Poland Deaths: Rural: Male: EC: ow Intentional Self Harm data was reported at 1,892.000 Person in 2023. This records an increase from the previous number of 1,849.000 Person for 2022. Poland Deaths: Rural: Male: EC: ow Intentional Self Harm data is updated yearly, averaging 2,308.000 Person from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 2,796.000 Person in 2012 and a record low of 1,849.000 Person in 2022. Poland Deaths: Rural: Male: EC: ow Intentional Self Harm data remains active status in CEIC and is reported by Statistics Poland. The data is categorized under Global Database’s Poland – Table PL.G006: Deaths: By Cause.

Background

Intentional self-harm is a common cause of hospital presentations in New Zealand and across the world, and self-poisoning is the most common method of self-harm. Paracetamol (acetaminophen) is frequently used in impulsive intentional overdoses, where ease of access may determine the choice of substance.

Objective

This cross-sectional study aimed to determine how much paracetamol is present and therefore accessible in urban New Zealand households, and sources from where it has been obtained. This information is not currently available through any other means, but could inform New Zealand drug policy on access to paracetamol.

Methods

Random cluster-sampling of households was performed in major urban areas of two cities in New Zealand, and the paracetamol-containing products, quantities, and sources were recorded. Population estimates of proportions of various types of paracetamol products were calculated.

Results

A total of 174 of the 201 study households (86.6%) had at least one paracetamol product. Study households had mostly prescription products (78.2% of total mass), and a median of 24.0 g paracetamol present per household (inter-quartile range 6.0-54.0 g). Prescribed paracetamol was the main source of large stock. Based on the study findings, 53% of New Zealand households had 30 g or more paracetamol present, and 36% had 30 g or more of prescribed paracetamol, specifically.

Conclusions

This study highlights the importance of assessing whether and how much paracetamol is truly needed when prescribing and dispensing it. Convenience of appropriate access to therapeutic paracetamol needs to be balanced with preventing unnecessary accumulation of paracetamol stocks in households and inappropriate access to it. Prescribers and pharmacists need to be aware of the risks of such accumulation and assess the therapeutic needs of their patients. Public initiatives should be rolled out at regular intervals to encourage people to return unused or expired medicines to pharmacies for safe disposal.

Methods The stocks of paracetamol-containing medicines (acetaminophen) held at a single time point in New Zealand households are described in this dataset. These data were collected via a cluster-sampling survey of two cities in New Zealand.

A door-to-door survey study with random, clustered sampling of consenting household members in two cities in New Zealand was designed. A total of 201 households in 40 meshblocks in two Major Urban Areas (MUAs; areas of 100,000 or more residents) of Dunedin and Auckland were sampled. Meshblocks are Statistics NZ’s smallest geographic unit, and roughly correspond to a city block or part of it. Random cluster-sampling of 20 meshblocks in each city was performed by deprivation level, where all eligible MUA meshblocks were stratified by their New Zealand Deprivation Index 2013 (NZDep2013) index scores, which describe the level of area deprivation by taking into account multiple relevant area and household variables. Six meshblocks were randomly selected from each city from NZDep2013 8-10 meshblocks (most deprived), eight from NZDep 4-7, and 6 from NZDep2013 1-2 (least deprived), for a total of 40 meshblocks. This was done to obtain a sample that would be representative of the general New Zealand population by levels of deprivation. Each meshblock was sampled by starting from a random end of the street and then tossing a dice to choose a house to approach, and repeating this until either five households were recruited or there were no more households to sample.

Trained Research Assistants (RAs) knocked on the doors of domiciles in each meshblock to be sampled, chosen by tossing a dice as described. Inclusion criteria: person present and usually residing in a domicile in a meshblock which was sampled, and aged 16 or over. Exclusion criteria: not able to give informed consent (intoxicated, aggressive, otherwise not safe to approach – nobody was excluded for this reason).

Household members aged 16 years and over were eligible to participate, and if consent was obtained, basic demographics were collected about the household (number of people usually residing in the household, their age, sex, ethnicity). Participants were then shown images of paracetamol-containing products (sole and combination), and requested to bring out all paracetamol products of their own, and any that were shared by the household in communal areas of the domicile. Private stock of any other residents of the household who were not present and were therefore unable to consent was not recorded for ethical reasons. If there were no paracetamol products present, that was recorded. If there were paracetamol products present, product type, strength, expiry date, purchase date and means of obtaining (by prescription, pharmacy over-the-counter [OTC], other retailer [i.e. not a pharmacy; e.g. supermarket, petrol station], other, unknown) were recorded.

The data were entered into a main database which is fully de-identified. Meshblock numbers are included in the dataset, but households are only given an identifier derived from the meshblock code. It would not be possible to identify a specific household from the data. Paracetamol product names were cleaned in the dataset (if there were any misspellings), and new variables were calculated to summarise the data (e.g. total household stock of prescribed paracetamol products, etc.).

The fifth round of the Global Reproductive, Maternal, Newborn, Child and Adolescent Health Policy Survey was conducted in 2018-2019. For this survey, the questionnaire was administered online to each member state via World Health Organization (WHO) regional offices. Each WHO country office was asked to coordinate completion of the survey with the Ministry of Health and other UN partners. Respondents from each country shared original source documents including national policies, strategies, laws, guidelines, reports that are relevant to the areas of sexual and reproductive health, maternal and newborn health, child health, adolescent health, gender-based violence and cross-cutting issues. Cross cutting issues include policies, guidelines and legislation for human right to healthcare, financial protection, and quality of care.The WHO cross-cutting issues page can be found here, and the WHO data can also be accessed on their data portal page, here. Adolescent Health Policy data, provided by the WHO, show the below data attributes for countries that have an International Confederation of Midwives (ICM) membership and have completed the required surveys. Academia typically included in the RMNCAH coordinating body Adolescents/young people typically included in the RMNCAH coordinating body Civil society typically included in the RMNCAH coordinating body Donors typically included in the RMNCAH coordinating body Engagement of civil society in review of national RMNCAH programmes H6 partnership organizations typically included in the RMNCAH coordinating body Law requiring birth registration Law requiring death registration Ministry of Health typically included in the RMNCAH coordinating body National human rights institution considers RMNCAH issues National law guarantees universal access to primary health care National policy on Quality of Care for health services exists National policy on Quality of Care includes Adolescent health National policy on Quality of Care includes Maternal health National policy on Quality of Care includes Newborn health National policy on Quality of Care includes Sexual and reproductive health National policy to ensure engagement of civil society organisation representatives in national level planning of RMNCAH programmes National RMNCAH coordinating body Non-health government sectors typically included in the RMNCAH coordinating body Private sector typically included in the RMNCAH coordinating body Professional associations typically included in the RMNCAH coordinating body This data set is just one of the many datasets on the Global Midwives Hub, a digital resource with open data, maps, and mapping applications (among other things), to support advocacy for improved maternal and newborn services, supported by the International Confederation of Midwives (ICM), UNFPA, WHO, and Direct Relief.

Demographic characteristics of all patients and in comparison, with self-harm and non-self-harm patients.