Meaning in Life Buffers the Association Between Risk Factors for Suicide and Hopelessness in Participants With Mental Disorders

2016 ◽  
Vol 72 (7) ◽  
pp. 689-700 ◽  
Author(s):  
José H. Marco ◽  
Sandra Pérez ◽  
Joaquín García-Alandete
Keyword(s):  
Risk Factors ◽  
Mental Disorders ◽  
Meaning In Life ◽  
Risk Factors For Suicide

scholarly journals Psychological autopsy study comparing suicide decedents, suicide ideators, and propensity score matched controls: results from the study to assess risk and resilience in service members (Army STARRS)

2017 ◽  
Vol 47 (15) ◽  
pp. 2663-2674 ◽  
Author(s):  
M. K. Nock ◽  
C. L. Dempsey ◽  
P. A. Aliaga ◽  
D. A. Brent ◽  
S. G. Heeringa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mental Disorders ◽  
Propensity Score ◽  
Suicide Ideation ◽  
Striking Difference ◽  
Psychological Autopsy ◽  
Autopsy Study ◽  
Suicide Death ◽  
The Past ◽  
Risk Factors For Suicide

BackgroundThe suicide rate has increased significantly among US Army soldiers over the past decade. Here we report the first results from a large psychological autopsy study using two control groups designed to reveal risk factors for suicide death among soldiers beyond known sociodemographic factors and the presence of suicide ideation.MethodsInformants were next-of-kin and Army supervisors for: 135 suicide cases, 137 control soldiers propensity-score-matched on known sociodemographic risk factors for suicide and Army history variables, and 118 control soldiers who reported suicide ideation in the past year.ResultsResults revealed that most (79.3%) soldiers who died by suicide have a prior mental disorder; mental disorders in the prior 30-days were especially strong risk factors for suicide death. Approximately half of suicide decedents tell someone that they are considering suicide. Virtually all of the risk factors identified in this study differed between suicide cases and propensity-score-matched controls, but did not significantly differ between suicide cases and suicide ideators. The most striking difference between suicides and ideators was the presence in the former of an internalizing disorder (especially depression) and multi-morbidity (i.e. 3+ disorders) in the past 30 days.ConclusionsMost soldiers who die by suicide have identifiable mental disorders shortly before their death and tell others about their suicidal thinking, suggesting that there are opportunities for prevention and intervention. However, few risk factors distinguish between suicide ideators and decedents, pointing to an important direction for future research.

Risk Factors for Suicide and Attempted Suicide among Young People

2000 ◽  
Vol 34 (3) ◽  
pp. 420-436 ◽  
Author(s):  
Annette L. Beautrais
Keyword(s):  
Risk Factors ◽  
Young People ◽  
Mental Disorders ◽  
Suicidal Behaviour ◽  
Stressful Life Events ◽  
Suicide Attempts ◽  
Current Knowledge ◽  
Youth Suicide ◽  
Family Adversity ◽  
Risk Factors For Suicide

Objective: Suicide rates in young people have increased during the past three decades, particularly among young males, and there is increasing public and policy concern about the issue of youth suicide in Australia and New Zealand. This paper summarises current knowledge about risk factors for suicide and suicide attempts in young people. Method: Evidence about risk factors for suicidal behaviour in young people was gathered by review of relevant English language articles and other papers, published since the mid-1980s. Results: The international literature yields a generally consistent account of the risk factors and life processes that lead to youth suicide and suicide attempts. Risk factor domains which may contribute to suicidal behaviour include: social and educational disadvantage; childhood and family adversity; psychopathology; individual and personal vulnerabilities; exposure to stressful life events and circumstances; and social, cultural and contextual factors. Frequently, suicidal behaviours in young people appear to be a consequence of adverse life sequences in which multiple risk factors from these domains combine to increase risk of suicidal behaviour. Conclusions: Current research evidence suggests that the strongest risk factors for youth suicide are mental disorders (in particular, affective disorders, substance use disorders and antisocial behaviours) and a history of psychopathology, indicating that priorities for intervening to reduce youth suicidal behaviours lie with interventions focused upon the improved recognition, treatment and management of young people with mental disorders.

A Network Analysis of Risk Factors for Suicide in Iraq/Afghanistan-era Veterans

2021 ◽  
Author(s):  
Robert C. Graziano ◽  
Frances M. Aunon ◽  
Stefanie T. LoSavio ◽  
Eric B. Elbogen ◽  
Jean C. Beckham ◽  
...  
Keyword(s):  
Risk Factors ◽  
Network Analysis ◽  
Risk Factors For Suicide

scholarly journals Risk factors for suicide in prisons: a systematic review and meta-analysis

2021 ◽  
Vol 6 (3) ◽  
pp. e164-e174
Author(s):  
Shaoling Zhong ◽  
Morwenna Senior ◽  
Rongqin Yu ◽  
Amanda Perry ◽  
Keith Hawton ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Meta Analysis ◽  
Risk Factors For Suicide

scholarly journals Low Birth Weight Prevalence in Children Diagnosed with Neurodevelopmental Disorders in Dubai

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110317
Author(s):  
Faisal A. Nawaz ◽  
Meshal A. Sultan
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Mental Disorders ◽  
Low Birth Weight ◽  
Neurodevelopmental Disorders ◽  
Autism Spectrum ◽  
High Birth Weight ◽  
Perinatal Risk Factors ◽  
Perinatal Risk ◽  
The Impact

The aim of this study is to evaluate the prevalence of low birth weight and other perinatal risk factors in children diagnosed with neurodevelopmental disorders. This is one of the first studies in the Arabian Gulf region focused on the contribution of these factors toward the development of various disorders such as attention-deficit/hyperactivity disorder, autism spectrum disorder, and other mental disorders. This descriptive study was based on qualitative data analysis. We reviewed retrospective information from the electronic medical records of 692 patients in Dubai, United Arab Emirates. The prevalence of low birth weight in children with mental disorders was significantly higher as compared to the general population (16% vs 6% respectively). Furthermore, other risk factors, including high birth weight and preterm birth were noted to have a significant association with neurodevelopmental disorders. Future research on the impact of perinatal risk factors will contribute to advancement of early intervention guidelines.

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

2020 ◽  
pp. 089011712096865
Author(s):  
Rubayyat Hashmi ◽  
Khorshed Alam ◽  
Jeff Gow ◽  
Sonja March
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Socioeconomic Status ◽  
Mental Disorders ◽  
National Health Survey ◽  
Cross Sectional ◽  
Lower Odds ◽  
Socioeconomic Groups ◽  
Income Groups ◽  
Weighted Prevalence

Purpose: To present the prevalence of 3 broad categories of mental disorder (anxiety-related, affective and other disorders) by socioeconomic status and examine the associated socioeconomic risk factors of mental disorders in Australia. Design: A population-based, cross-sectional national health survey on mental health and its risk factors across Australia. Setting: National Health Survey (NHS), 2017-2018 conducted by the Australian Bureau of Statistics (ABS) Participants: Under aged: 4,945 persons, Adult: 16,370 persons and total: 21,315 persons Measures: Patient-reported mental disorder outcomes Analysis: Weighted prevalence rates by socioeconomic status (equivalised household income, education qualifications, Socio-Economic Index for Areas (SEIFA) scores, labor force status and industry sector where the adult respondent had their main job) were estimated using cross-tabulation. Logistic regression utilizing subsamples of underage and adult age groups were analyzed to test the association between socioeconomic status and mental disorders. Results: Anxiety-related disorders were the most common type of disorders with a weighted prevalence rate of 20.04% (95% CI: 18.49-21.69) for the poorest, 13.85% (95% CI: 12.48-15.35) for the richest and 16.34% (95% CI: 15.7-17) overall. The weighted prevalence rate for mood/affective disorders were 20.19% (95% CI: 18.63-21.84) for the poorest, 9.96% (95% CI: 8.79-11.27) for the richest, and 13.57% (95% CI: 12.99-14.17) overall. Other mental disorders prevalence were for the poorest: 9.07% (95% CI: 7.91-10.39), the richest: 3.83% (95% CI: 3.14-4.66), and overall: 5.93% (95% CI: 5.53-6.36). These patterns are also reflected if all mental disorders were aggregated with the poorest: 30.97% (95% CI: 29.15-32.86), the richest: 19.59% (95% CI: 18.02-21.26), and overall: 23.93% (95% CI: 23.19-24.69). The underage logistic regression model showed significant lower odds for the middle (AOR: 0.75, 95% CI: 0.53 -1.04, p < 0.1), rich (AOR: 0.71, 95% CI: 0.5-0.99, p < 0.05) and richest (AOR: 0.6, 95% CI: 0.41-0.89, p < 0.01) income groups. Similarly, in the adult logistic model, there were significant lower odds for middle (AOR: 0.84, 95% CI: 0.72-0.98, p < 0.05), rich (AOR: 0.73, 95% CI: 0.62-0.86, p < 0.01) and richest (AOR: 0.76, 95% CI: 0.63-0.91, p < 0.01) income groups. Conclusion: The prevalence of mental disorders in Australia varied significantly across socioeconomic groups. Knowledge of different mental health needs in different socioeconomic groups can assist in framing evidence-based health promotion and improve the targeting of health resource allocation strategies.

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