Suchergebnisse

Background: When one intends to globally smooth unstable rates, e.g., suicide rates in a region, one needs to consider whether it is better to smooth the rates toward the global mean of the country or toward the global mean of the same region. Aims: The present study aims to provide a methodological framework to answer this question by smoothing suicide rates within London boroughs. Methods: Based on the results of the spatial autocorrelation statistics, the noniterative empirical Bayes method of moments was chosen to globally smooth the suicide rate of each borough, first toward the global mean of England and Wales, and second toward the mean of the London region. Results: The results revealed that smoothing the suicide rates of the boroughs toward the global mean of England and Wales had a stronger influence in reducing the variability of suicide rates than smoothing toward the global mean of the London region. Conclusions: Smoothing the rates toward the mean of a region within a country acts somewhat between global and local smoothing.

Abstract. Background: Entering higher education is a time of transition that coincides with the typical age of onset of serious mental illness. Awareness of the distinguishing characteristics of students with mental illness who die by suicide may inform clinical management. Aim: We aimed to compare the characteristics of mental health patients who died by suicide as students with other young people who died by suicide. Method: UK data were analyzed for individuals aged 18–35 years in contact with mental health services who died by suicide from 1997 to 2012. Univariate analyses examined the sociodemographic, behavioral, and clinical features of those who died as students. Backward stepwise regression analysis identified factors independently associated with student deaths. Results: In all, 214 university students died by suicide within 12 months of mental health service contact. Factors associated with student deaths were: being younger, female, from an ethnic minority group, and a primary diagnosis of affective disorder. Medication nonadherence was less likely to be associated with student deaths. Conclusion: Deaths by suicide are split almost equally between male and female students, unlike the predominance of male suicide in the general population. There are clear differences in the characteristics of the student and nonstudent groups, although causation could not be established.

Background: Approximately three-quarters of patients who die by suicide on psychiatric wards do so by hanging/strangulation. Increased awareness of the methods used by these patients may benefit prevention strategies in mental health services. Aims: To describe the ligature points and ligatures used in ward hangings; to identify any trends over time in ligature points and ligatures used; and to compare these patient characteristics with other inpatient suicides. Methods: A national clinical survey of suicide cases in recent (< 1 year) contact with mental health services in England and Wales (1999–2007). Results: Of the 448 suicides that occured on psychiatric wards, 77% were by hanging. The number of hanging cases, however, has fallen by 74% since 1999. The most common ligature points and ligatures were doors, hooks/handles, windows, and belts or sheets/towels, respectively. Use of shoelaces, doors, and windows increased over time. These patient suicides had had high rates of self-harm, alcohol/drug misuse, and were more likely than other cases to have died early in admission and been formally detained for treatment. Conclusions: Despite the decrease in inpatient suicides by hanging, regular reviews of ward structures are needed, particularly as ligatures and ligature points change over time. Improving the ward environment to engage patients, especially early in admission, may also contribute to reducing risk.

ObjectivesWith suicide a major public health concern, it is vital research identifies predictors of suicide to support vulnerable groups who should be targeted for intervention. We use a novel linkage of 2011 Census and population level mortality data to assess which risk factors are important predictors of suicide.
MethodsExposures of interest were identified from Census 2011 and were sex, age, ethnicity, marital status, day-to-day impairments, religion, region, National Statistics Socio-economic Classification. Our study population consisted of 35,136,917 people aged 18-to-74; there were 35,928 suicides in our study period (28/03/2011-31/12/2021), with 73.9\% occurring in men. We fitted generalised linear models with a Poisson link function, with suicide being the outcome of interest. The natural logarithm of exposure time was included as an offset term. To estimate rates of suicide per 100,000 people for each level of our exposure, by sex for the average age, we calculated marginal means.
ResultsThe groups with the highest rates of suicide were those who reported an impairment affecting their day-to-day activities, those who were long term unemployed or never had worked, or those who were single or separated. Comparison of minimally adjusted models with models accounting for all other characteristics identified predictors which remain important risk factors after accounting for other characteristics; day-to-day impairments were still found to increase the incidence of suicide relative to those whose activities were not impaired after adjusting for employment status. Additionally, the estimated rates of suicide remained lowest in London compared to other regions in our fully adjusted estimates. Overall, rates of suicide were higher in men compared to females across all ages, with the highest rates in 40- to 50-year-olds.
ConclusionThe findings of this work provide novel population level insights into the risk of suicide by sociodemographic characteristics, this work should pave the way for further research exploring the interaction of factors which lead to suicide and drive policy change for targeted intervention.

Background: Socioculturally meaningful events have been shown to influence the timing of suicide, but the influence of psychiatric disorder on these associations has seldom been studied. Aims: To investigate the association between birthday and increased risk of suicide in the general population and in a national sample of psychiatric patients. Methods: Data on general population suicides and suicide by individuals in recent care of mental health services were examined for day of death in relation to one's birthday using Poisson regression analysis. Results: An increased risk of suicide was observed on day of one's birthday itself for males in both the general population (IRR = 1.39, 95% CI = 1.18–1.64, p < .01) and the clinical population (IRR = 1.48, 95% CI = 1.07–2.07, p = .03), especially for those aged 35 years and older. In the clinical population, risk was restricted to male patients aged 35–54 and risk extended to the 3 days prior to one's birthday. Conclusions: Birthdays are periods of increased risk for men aged 35 and older in the general population and in those receiving mental health care. Raising health-care professionals' awareness of patient groups at greater risk at this personally significant time may benefit care planning and could facilitate suicide prevention in these individuals.

Background The COVID-19 pandemic is having profound mental health consequences for many people. Concerns have been expressed that, at their most extreme, these consequences could manifest as increased suicide rates. We aimed to assess the early effect of the COVID-19 pandemic on suicide rates around the world. Methods We sourced real-time suicide data from countries or areas within countries through a systematic internet search and recourse to our networks and the published literature. Between Sept 1 and Nov 1, 2020, we searched the official websites of these countries' ministries of health, police agencies, and government-run statistics agencies or equivalents, using the translated search terms "suicide" and "cause of death", before broadening the search in an attempt to identify data through other public sources. Data were included from a given country or area if they came from an official government source and were available at a monthly level from at least Jan 1, 2019, to July 31, 2020. Our internet searches were restricted to countries with more than 3 million residents for pragmatic reasons, but we relaxed this rule for countries identified through the literature and our networks. Areas within countries could also be included with populations of less than 3 million. We used an interrupted time-series analysis to model the trend in monthly suicides before COVID-19 (from at least Jan 1, 2019, to March 31, 2020) in each country or area within a country, comparing the expected number of suicides derived from the model with the observed number of suicides in the early months of the pandemic (from April 1 to July 31, 2020, in the primary analysis). Findings We sourced data from 21 countries (16 high-income and five upper-middle-income countries), including whole-country data in ten countries and data for various areas in 11 countries). Rate ratios (RRs) and 95% CIs based on the observed versus expected numbers of suicides showed no evidence of a significant increase in risk of suicide since the pandemic began in ...

Background: The COVID-19 pandemic is having profound mental health consequences for many people. Concerns have been expressed that, at their most extreme, these consequences could manifest as increased suicide rates. We aimed to assess the early effect of the COVID-19 pandemic on suicide rates around the world. Methods: We sourced real-time suicide data from countries or areas within countries through a systematic internet search and recourse to our networks and the published literature. Between Sept 1 and Nov 1, 2020, we searched the official websites of these countries' ministries of health, police agencies, and government-run statistics agencies or equivalents, using the translated search terms "suicide" and "cause of death", before broadening the search in an attempt to identify data through other public sources. Data were included from a given country or area if they came from an official government source and were available at a monthly level from at least Jan 1, 2019, to July 31, 2020. Our internet searches were restricted to countries with more than 3 million residents for pragmatic reasons, but we relaxed this rule for countries identified through the literature and our networks. Areas within countries could also be included with populations of less than 3 million. We used an interrupted time-series analysis to model the trend in monthly suicides before COVID-19 (from at least Jan 1, 2019, to March 31, 2020) in each country or area within a country, comparing the expected number of suicides derived from the model with the observed number of suicides in the early months of the pandemic (from April 1 to July 31, 2020, in the primary analysis). Findings: We sourced data from 21 countries (16 high-income and five upper-middle-income countries), including whole-country data in ten countries and data for various areas in 11 countries). Rate ratios (RRs) and 95% CIs based on the observed versus expected numbers of suicides showed no evidence of a significant increase in risk of suicide since the pandemic began in any country or area. There was statistical evidence of a decrease in suicide compared with the expected number in 12 countries or areas: New South Wales, Australia (RR 0·81 [95% CI 0·72–0·91]); Alberta, Canada (0·80 [0·68–0·93]); British Columbia, Canada (0·76 [0·66–0·87]); Chile (0·85 [0·78–0·94]); Leipzig, Germany (0·49 [0·32–0·74]); Japan (0·94 [0·91–0·96]); New Zealand (0·79 [0·68–0·91]); South Korea (0·94 [0·92–0·97]); California, USA (0·90 [0·85–0·95]); Illinois (Cook County), USA (0·79 [0·67–0·93]); Texas (four counties), USA (0·82 [0·68–0·98]); and Ecuador (0·74 [0·67–0·82]). Interpretation: This is the first study to examine suicides occurring in the context of the COVID-19 pandemic in multiple countries. In high-income and upper-middle-income countries, suicide numbers have remained largely unchanged or declined in the early months of the pandemic compared with the expected levels based on the pre-pandemic period. We need to remain vigilant and be poised to respond if the situation changes as the longer-term mental health and economic effects of the pandemic unfold.