What are the risk factors and protective factors of suicidal behavior in adolescents? A systematic review

2020 ◽  
Author(s):  
Niken A. L. Ati ◽  
Mareta D. Paraswati ◽  
Heni D. Windarwati
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Protective Factors ◽  
Suicidal Behavior

Protective Factors and Suicidality in Members of Arab Kindred

Crisis ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 80-86 ◽  
Author(s):  
Sami Hamdan ◽  
Nadine Melhem ◽  
Israel Orbach ◽  
Ilana Farbstein ◽  
Mohammad El-Haib ◽  
...  
Keyword(s):  
Risk Factors ◽  
Protective Factors ◽  
Suicidal Behavior ◽  
Composite International Diagnostic Interview ◽  
Diagnostic Interview ◽  
Suicidal Risk ◽  
Arab Population ◽  
Psychiatric Interview ◽  
History Of

Background: Relatively little is known about the role of protective factors in an Arab population in the presence of suicidal risk factors. Aims: To examine the role of protective factors in a subsample of in large Arab Kindred participants in the presence of suicidal risk factors. Methods: We assessed protective and risk factors in a sample of 64 participants (16 suicidal and 48 nonsuicidal) between 15 and 55 years of age, using a comprehensive structured psychiatric interview, the Composite International Diagnostic Interview (CIDI), self-reported depression, anxiety, hopelessness, impulsivity, hostility, and suicidal behavior in first-degree and second-relatives. We also used the Religiosity Questionnaire and suicide attitude (SUIATT) and multidimensional perceived support scale. Results: Suicidal as opposed to nonsuicidal participants were more likely to have a lifetime history of major depressive disorder (MDD) (68.8% vs. 22.9% χ2 = 11.17, p = .001), an anxiety disorder (87.5% vs. 22.9, χ2 = 21.02, p < .001), or posttraumatic stress disorder (PTSD) (25% vs. 0.0%, Fisher’s, p = .003). Individuals who are otherwise at high risk for suicidality have a much lower risk when they experience higher perceived social support (3.31 ± 1.36 vs. 4.96 ± 1.40, t = 4.10, df = 62, p < .001), and they have the view that suicide is somehow unacceptable (1.83 ± .10 vs. 1.89 ± .07, t = 2.76, df = 60, p = .008). Conclusions: Taken together with other studies, these data suggest that the augmentation of protective factors could play a very important role in the prevention of incidental and recurrent suicidal behavior in Arab populations, where suicidal behavior in increasing rapidly.

Mental disorders as risk factors for suicidal behavior in young people: A meta-analysis and systematic review of longitudinal studies

2019 ◽  
Vol 245 ◽  
pp. 152-162 ◽  
Author(s):  
Margalida Gili ◽  
Pere Castellví ◽  
Margalida Vives ◽  
Alejandro de la Torre-Luque ◽  
José Almenara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Young People ◽  
Mental Disorders ◽  
Longitudinal Studies ◽  
Suicidal Behavior ◽  
Meta Analysis

scholarly journals Brazilian Psychiatric Association guidelines for the management of suicidal behavior. Part 1. Risk factors, protective factors, and assessment

2020 ◽  
Author(s):  
Leonardo Baldaçara ◽  
Gislene A. Rocha ◽  
Verônica da S. Leite ◽  
Deisy M. Porto ◽  
Roberta R. Grudtner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Protective Factors ◽  
Suicidal Behavior

scholarly journals Similarities and Differences of Mental Health in Women and Men: A Systematic Review of Findings in Three Large German Cohorts

2021 ◽  
Vol 9 ◽  
Author(s):  
Daniëlle Otten ◽  
Ana N. Tibubos ◽  
Georg Schomerus ◽  
Elmar Brähler ◽  
Harald Binder ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Systematic Review ◽  
Protective Factors ◽  
Health Research ◽  
Large Population ◽  
Risk And Protective Factors ◽  
Externalizing Disorders ◽  
Mental Health Research ◽  
Prevalence Rates

In Germany, large, population-based cohort studies have been implemented in order to identify risk and protective factors for maintaining health across the life span. The purpose of this systematic review is to analyse findings from three large ongoing cohorts and to identify sex-specific prevalence rates, risk and protective factors for mental health. Published studies from the Cooperative Health Research in the Region Augsburg (KORA), the Study of Health in Pomerania (SHIP) and the Gutenberg Health Study (GHS)), representing the southern, north-eastern and middle parts of Germany, were identified through searches of the databases PubMed and Web of Science. A total of 52 articles was identified from the start of each cohort until June 2019. Articles reporting prevalence rates of mental health [N = 22], explanatory factors for mental health [N = 25], or both [N = 5] were identified. Consistent across cohorts, higher prevalence rates of internalizing disorders were found for women and more externalizing disorders for men. Risk and protective factors for mental health included social factors, lifestyle, physical health, body mass index (BMI), diabetes, genetic and biological factors. In all areas, differences and similarities were found between women and men. The most evident were the sex-specific risk profiles for depression with mostly external risk factors for men and internal risk factors for women. Gender was not assessed directly, therefore we examined whether socioeconomic and family-related factors reflecting gender roles or institutionalized gender could be used as a proxy for gender. Overall, this systematic review shows differences and similarities in prevalence rates and determinants of mental health indicators between women and men. They underline the importance of focussing on sex specific approaches in mental health research and in the development of prevention measures. Current research on mental health still lacks focus on gender aspects. Therefore, an increased focus on sex and gender in mental health research is of great importance.

Suicide and Suicide risk factors: A Literature Review

2021 ◽  
pp. 441-446
Author(s):  
Tushar Kedar
Keyword(s):  
Risk Factors ◽  
Protective Factors ◽  
Suicidal Behavior ◽  
Suicide Risk ◽  
Suicide Mortality ◽  
Low Socioeconomic ◽  
Socioeconomic Groups ◽  
Suicide Behavior ◽  
Surrounding Environment ◽  
Developed World

Suicide can be defined as intentional self-inflicted death. It is a serious cause of mortality worldwide. Suicide is considered as a psychiatric emergency and the awareness of the seriousness of suicide in our society should not be overlooked. It is estimated that approximately 1.5% of all deaths worldwide are by suicide in the year 2020. The suicide mortality rate in 2015 was 12% in 100,000, which means about one death every 20 s. Rates of completed suicides are generally higher among men than among women, ranging from 1.5 times as much in the developing world to 3.5 times in the developed world. Suicide is generally most common among those over the age of 70; however, in certain countries, those aged between 15 and 30 are at the highest risk. Suicidal behavior is the second leading cause of death in adolescents in the world. Suicide behavior in adolescents can be prevented by recognizing risk factors and protective factors originating from themselves and the surrounding environment. This study aimed to identify risk factors and protective factors for adolescents who demonstrate suicidal behavior. Prevention programs that target young people, females, and low socioeconomic groups, and aimed to reduce harmful alcohol use can help prevent suicidal behaviours.

Where is the social in the biopsychosocial model of suicide prevention?

2021 ◽  
pp. 002076402110272
Author(s):  
José Eduardo Rodríguez-Otero ◽  
Xiana Campos-Mouriño ◽  
David Meilán-Fernández ◽  
Sarai Pintos-Bailón ◽  
Graciela Cabo-Escribano
Keyword(s):  
Risk Factors ◽  
Protective Factors ◽  
Suicide Prevention ◽  
Suicidal Behavior ◽  
Biopsychosocial Model ◽  
Risk And Protective Factors ◽  
Prevention Strategies ◽  
Theoretical Frameworks ◽  
Prevention Policies

Background: Each year, around 800,000 people die by suicide. The prevalence of suicidal behaviors is much higher when suicidal attempts and persistent self-injurious ideation are included. Therefore, suicide is a public health concern. Research has been sensitive to this problem, deepening the study of risk factors and the development of theoretical frameworks of suicidal behavior, with the aim of generating effective suicide prevention policies around the biopsychosocial model. Aim: We aimed to explore the role of relational, community, and social factors in current suicide prevention strategies. Method: Studies of risk and protective factors for suicidal behavior and the consequent development of theoretical frameworks were reviewed to verify if this knowledge was really used in suicide prevention policies. Results: Studies of risk and protective factors focus mainly on the individual, while theoretical frameworks emphasize the role of the relational, community, and social. Suicide prevention strategies more closely follow individual models derived from studies of risk factors. Conclusions: Suicide prevention strategies should broaden their individual narrative to include relational, community, and social interventions as anti-suicide measures.

scholarly journals Factors Related to the Level of Depression and Suicidal Behavior Among Men With Diagnosed Depression, Physically Ill Men, and Healthy Men

2021 ◽  
Vol 12 ◽  
Author(s):  
Aleksandra Kielan ◽  
Mariusz Jaworski ◽  
Anna Mosiołek ◽  
Jan Chodkiewicz ◽  
Łukasz Święcicki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mental Disorders ◽  
Social Competence ◽  
Protective Factors ◽  
Suicidal Behavior ◽  
Active Coping ◽  
Education Student ◽  
Financial Situation ◽  
Healthy Men ◽  
The Family

Depression is the most common psychiatric disorder in people who die by suicide. Awareness of risk factors for suicide in depression is important for clinicians. The study was aimed at establishing models of factors related to the level of depression and suicidal behavior among men from three different groups—in men with depressive disorder, in comparison to men with physical disorder and healthy men. A total of 598 men were included in the study. The following questionnaires were used in research model: test with sociodemographic variables, AUDIT Test, Fagerström Test, Generalized Self-Efficacy Scale (GSES), Inventory for Measuring Coping with Stress (Mini-COPE), Resilience Evaluation Questionnaire (KOP-26), Suicide Behaviors Questionnaire—Revised (SBQ-R) by Osman, and Gotland Male Depression Scale. In men with depression, the positive factors strongly related to the intensity of depression and suicidal behavior were as follows: vocational education, active coping, turning toward religion, social competence for resilience, and bachelor status. The factors negatively related to the intensity of depression and suicidal behavior in this group were as follows: unemployed status, student status, low satisfaction with the financial situation, having children, history of mental disorders in family, alcohol addiction, and seeking instrumental support. In the group of men with physical disorders, the following protection factors were identified: the medium or small city as a place of living, active coping, venting, and personal competence. The following risk factors were identified in this group: psychiatric treatment in the past. In the group of healthy men, the following protective factors were identified: the medium city as a place of living, positive reappraisal, planning abilities, and personal and social competence for resilience. In this group, the following risk factors were identified: vocational and higher education, student status, satisfaction with the financial situation, having more than one children, the occurrence of mental disorders in the family, the occurrence of alcohol abuse in the family, and use of psychoactive substances as a strategy of dealing with stress. The risk factors identified in this study should be included in the clinical assessment of depression and suicidal behavior risk in male patients. There are some protective factors identified, including productive coping and personal and social competencies, which can be developed and should be especially considered and strengthened in mental health promotion programs aimed at men.

Youth self-harm in low- and middle-income countries: Systematic review of the risk and protective factors

2017 ◽  
Vol 63 (4) ◽  
pp. 359-375 ◽  
Author(s):  
Shilpa Aggarwal ◽  
George Patton ◽  
Nicola Reavley ◽  
Shreenivas A Sreenivasan ◽  
Michael Berk
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Protective Factors ◽  
Peer Group ◽  
Risk And Protective Factors ◽  
Prevalence Rates ◽  
Middle Income ◽  
Middle Income Countries ◽  
Self Harm ◽  
Low And Middle Income

Background: Self-harm (defined here as an act of intentionally causing harm to own self, irrespective of the type, motive or suicidal intent) is one of the strongest antecedents of suicide in youth. While there have been a number of studies of youth self-harm in low- and middle-income countries (LMICs), there is currently no systematic review of studies of prevalence rates and risk and protective factors. Aim: To systematically review the evidence relating to the prevalence rates and forms of self-harm in youth in LMICs and its relationship to family economic status, family functioning, relationship with the peer group, social relationships and academic performance. Methods: Electronic searches of three databases, MEDLINE, PsycINFO and Scopus, were performed. In total, 27 school-, community- and hospital-based studies evaluating self-harm in LMICs with youth focus (with participants between 12 and 25 years) were included. Results: The self-harm was divided into suicidal and non-suicidal depending on the nature of self-harm. The 12-month prevalence rates of non-suicidal self-harm varied from 15.5% to 31.3%, and the range of suicidal behaviour rates was from 3.2% to 4.7%. Banging and hitting were the most common in the community-based studies, followed by cutting, scratching and wound picking. Self-poisoning with pesticides was most commonly reported in hospital-based studies. Risk factors for self-harm were family conflict, peer groups with members indulging in self-harm, truancy and school absenteeism. Protective factors were having an understanding family, having friends and higher school competence. Risk factors for suicidal thoughts and attempts were lack of close friends and history of suicide by a friend. Conclusion: The 12-month prevalence rates of youth self-harm in LMICs are comparable to high-income countries (HICs). The profile of risk and protective factors suggests that family-based interventions could be useful in treatment and prevention. Future studies should aim for greater consistency in assessment methods and the constructs under evaluation.

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