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Literatura académica sobre el tema "Suicidality"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 9 de junio de 2025

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Artículos de revistas sobre el tema "Suicidality"

1

Obegi, Joseph H. "Rethinking Suicidal Behavior Disorder." Crisis 40, no. 3 (May 2019): 209–19. http://dx.doi.org/10.1027/0227-5910/a000543.

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Abstract. Background: It is a peculiar fact that the deadliest psychiatric disturbance – suicidality – cannot be formally diagnosed. Suicidal behavior disorder (SBD), a condition for further study in the DSM-5, is the field's first attempt to capture suicidality in a diagnosis. Aims: To provoke discussion about the standing of suicidality as a diagnosable psychiatric condition. Method: I present pragmatic and conceptual rationales for why a diagnosis of suicidality is clinically useful but conclude that SBD does little to aid clinicians in assessing suicidality's symptoms, planning treatment, or monitoring progress. Results: To improve the clinical utility of SBD, I re-conceptualize it from the vantage point of descriptive psychiatry. I hypothesize that this revised SBD is an independent, episodic, and frequently co-occurring condition and propose new cognitive, affective, and behavioral criteria that more completely capture the phenomenology of suicidality. Conclusion: The revised SBD is a starting place for dialogue about whether a clinically significant presentation of suicidality is a mental illness and, if it is, what its defining features should be.

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Joiner, Thomas E., and M. David Rudd. "Disentangling the Interrelations Between Hopelessness, Loneliness, and Suicidal Ideation." Suicide and Life-Threatening Behavior 26, no. 1 (March 1996): 19–26. http://dx.doi.org/10.1111/j.1943-278x.1996.tb00253.x.

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We attempted to disentangle the interrelations between hopelessness, loneliness, and suicidal ideation, by comparing two conceptually driven models of their relationships, prospectively among 234 undergraduates, using a series of multiple regression/correlation equations. Model 1 framed loneliness as a risk factor for future suicidally that operates via its influence on hopelessness (the mediational view). Model 2 viewed hopelessness as a source variable that is predictive of both loneliness and suicidally, and postulated no relation between loneliness and suicidality beyond hopelessness. Model 2 received support, whereas Model 1 did not. We discuss the implications of our findings for the nomological status of hopelessness and loneliness as correlates of suicidality, and for exploration of the structural interrelations of suicide‐related variables in general.

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3

Wein, Simon. "Suicidality." Palliative and Supportive Care 10, no. 3 (April 23, 2012): 229–30. http://dx.doi.org/10.1017/s1478951512000211.

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Rakus, Tomas, Katarina Hubcikova, Lucia Bruncvik, Zuzana Pechanova, and Martin Brunovsky. "ELECTROPHYSIOLOGICAL CORRELATES OF SUICIDALITY." Psychiatria Danubina 33, no. 3 (November 17, 2021): 266–79. http://dx.doi.org/10.24869/psyd.2021.266.

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Lester, David, and Julie Rife. "Predicting Suicidality." Perceptual and Motor Skills 87, no. 2 (October 1998): 498. http://dx.doi.org/10.2466/pms.1998.87.2.498.

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In a sample of 102 college students, prior suicidality was associated with self-reports of depressive tendencies, but not with manic or obsessive-compulsive tendencies, religiosity or irrational thinking.

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BORST, SOPHIE R., GIL G. NOAM, and JOHN A. BARTOK. "Adolescent Suicidality." Journal of the American Academy of Child & Adolescent Psychiatry 30, no. 5 (September 1991): 796–803. http://dx.doi.org/10.1097/00004583-199109000-00016.

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Chima, Felix O. "Elderly suicidality." Journal of Human Behavior in the Social Environment 6, no. 4 (December 2002): 21–45. http://dx.doi.org/10.1300/j137v06n04_02.

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Assari, Shervin, Shanika Boyce, and Mohsen Bazargan. "Feasibility of Race by Sex Intersectionality Research on Suicidality in the Adolescent Brain Cognitive Development (ABCD) Study." Children 8, no. 6 (May 23, 2021): 437. http://dx.doi.org/10.3390/children8060437.

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Intersectional research on childhood suicidality requires studies with a reliable and valid measure of suicidality, as well as a large sample size that shows some variability of suicidality across sex by race intersectional groups. Objectives: We aimed to investigate the feasibility of intersectionality research on childhood suicidality in the Adolescent Brain Cognitive Development (ABCD) study. We specifically explored the reliability and validity of the measure, sample size, and variability of suicidality across sex by race intersectional groups. Methods: We used cross-sectional data (wave 1) from the ABCD study, which sampled 9013 non-Hispanic white (NHW) or non-Hispanic black (NHB) children between the ages of 9 and 10 between years 2016 and 2018. Four intersectional groups were built based on race and sex: NHW males (n = 3554), NHW females (n = 3158), NHB males (n = 1164), and NHB females (n = 1137). Outcome measure was the count of suicidality symptoms, reflecting all positive history and symptoms of suicidal ideas, plans, and attempts. To validate our measure, we tested the correlation between our suicidality measure and depression and Child Behavior Checklist (CBCL) sub-scores. Cronbach alpha was calculated for reliability across each intersectional group. We also compared groups for suicidality. Results: We observed some suicidality history in observed 3.2% (n = 101) of NHW females, 4.9% (n = 175) of NHW males, 5.4% (n = 61) of NHB females, and 5.8% (n = 68) of NHB males. Our measure’s reliability was acceptable in all race by sex groups (Cronbach alpha higher than 0.70+ in all intersectional groups). Our measure was valid in all intersectional groups, documented by a positive correlation with depression and CBCL sub-scores. We could successfully model suicidality across sex by race groups, using multivariable models. Conclusion: Given the high sample size, reliability, and validity of the suicidality measure, variability of suicidality, it is feasible to investigate correlates of suicidality across race by sex intersections in the ABCD study. We also found evidence of higher suicidality in NHB than NHW children in the ABCD study. The ABCD rich data in domains of social context, self-report, schools, parenting, psychopathology, personality, and brain imaging provides a unique opportunity to study intersectional differences in neural circuits associated with youth suicidality.

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Stein, MSW, Dodie. "Suicidality Screening by Nephrology Social Workers: A Pilot Study." Journal of Nephrology Social Work 42, no. 2 (December 1, 2018): 9–16. http://dx.doi.org/10.61658/jnsw.v42i2.36.

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Current literature demonstrates that suicidality is more prevalent among people with end-stage renal disease (ESRD) than the general population; however, is not known how often patients with ESRD are screened for suicidality. This study examined suicidality screening practices among nephrology social workers using an online survey. Data suggest that about 71% of clinicians screen for suicidality across practice settings: 66% use the Patient Health Questionnaire-9 (PHQ-9); 40% use informal questioning techniques. Though this study found suicide risk to be relatively low among patients with ESRD (<10%), good clinical practice necessitates suicidality screening when conversation with a patient indicates depression or risk of self-harm. A standardized suicidality tool is recommended. Further study on suicidality with patients with ESRD is important for improving clinical care.

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Moukaddam, Nidal, Bishal Lamichhane, Ramiro Salas, Wayne Goodman, and Ashutosh Sabharwal. "Modeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorder." Behavioural Neurology 2023 (August 5, 2023): 1–10. http://dx.doi.org/10.1155/2023/8552180.

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Introduction. Suicide is one of the leading causes of death across different age groups. The persistence of suicidal ideation and the progression of suicidal ideations to action could be related to impulsivity, the tendency to act on urges with low temporal latency, and little forethought. Quantifying impulsivity could thus help suicidality estimation and risk assessments in ideation-to-action suicidality frameworks. Methods. To model suicidality with impulsivity quantification, we obtained questionnaires, behavioral tests, heart rate variability (HRV), and resting state functional magnetic resonance imaging measurements from 34 participants with mood disorders. The participants were categorized into three suicidality groups based on their Mini-International Neuropsychiatric Interview: none, low, and moderate to severe. Results. Questionnaire and HRV-based impulsivity measures were significantly different between the suicidality groups with higher subscales of impulsivity associated with higher suicidality. A multimodal system to characterize impulsivity objectively resulted in a classification accuracy of 96.77% in the three-class suicidality group prediction task. Conclusions. This study elucidates the relative sensitivity of various impulsivity measures in differentiating participants with suicidality and demonstrates suicidality prediction with high accuracy using a multimodal objective impulsivity characterization in participants with mood disorders.

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Tesis sobre el tema "Suicidality"

1

Johnson, Judith. "Resilience to suicidality." Thesis, University of Manchester, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527407.

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Lewis, Victoria M. "Suicidality in neurological conditions." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/6177/.

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This thesis combines two research papers. The first paper is a systematic literature review investigating risk factors associated with suicidality in Huntington’s disease. The review discusses the importance of clinicians using the identified factors as ‘red flags’ when screening for suicide ideation so that either preventative measures can be put in place or psychological interventions provided to ameliorate any distress. The second paper is an empirical study which explores the concept of ‘rational suicide’ in Multiple Sclerosis (MS). It also investigates whether depression forms an important link between disability and suicide ideation, compares types of Progressive MS and examines whether there are differences in levels of suicide ideation for different disability types. The findings are discussed in terms of current literature, future research recommendations and clinical implications.

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Sheehy, Kate. "Understanding suicidality in prisoners." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/understanding-suicidality-in-prisoners(043d887a-11c8-444a-97f4-ef4dedf6dbe0).html.

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Rates of suicidal thoughts and behaviours are heightened amongst prisoners, and present a significant challenge to correctional facilities globally. Despite this, there is a paucity of theoretically driven research examining the factors that underlie suicidality in prisoners. Two theoretical models of suicide, the Cry of Pain model (CoP; Williams, 1997) and the Schematic Appraisals Model of Suicide (SAMS; Johnson, Gooding & Tarrier, 2008) have highlighted the roles of negative appraisals and perceptions of defeat, entrapment, and hopelessness, as key psychological drivers for suicidal thoughts and behaviours. The overarching aim of this thesis was to investigate the psychological mechanisms that underlie suicidal thoughts and behaviours amongst prisoners. A corollary aim was to examine the psychological factors that may confer resilience to suicidal thoughts and behaviours amongst incarcerated individuals. Firstly, a comprehensive narrative review examined evidence of the applicability of current theoretical approaches to suicide, as applied to prisoner samples. The findings of this review highlighted gaps in the literature, from which a number of research questions were developed for investigation in the current thesis. Next, three empirical studies were designed to investigate the roles of perceptions of defeat, entrapment, hopelessness, and negative appraisals in suicidal ideation. In the first of these studies, cross-sectional evidence was obtained that perceptions of internal entrapment and hopelessness were predictive of suicidal ideation amongst prisoners (Chapter 4). In a second study, the predictive effects of defeat, hopelessness, and entrapment were examined in a longitudinal investigation, finding no significant longitudinal relationship (Chapter 7). In a further empirical study, support was provided for the role of momentary negative appraisals of the present and future as proximal predictors of the severity of suicidal thoughts (Chapter 5). Two further studies examined the role of impulsiveness in suicidality, and provided evidence for the deleterious effect of impulsiveness upon both suicidal ideation (Chapter 8) and self-harm ideation (Chapter 9) in prisoners. Two further studies provided the first theoretically driven investigations of potential resilience factors, conceptualized as positive self-appraisals, within a prisoner sample. Based on the Schematic Appraisals Model of Suicide (SAMS), it was proposed that positive self-appraisals would confer resilience against suicidal thoughts and behaviours. Two studies investigated this hypothesis. The first of these studies found that, contrary to predictions, positive self-appraisals of social support and social reciprocity did not buffer the impact of negative situational appraisals upon suicidal thoughts (Chapter 5). In the second study, evidence was obtained for a buffering effect of positive self-appraisals upon suicidal thoughts. In particular, positive appraisals of interpersonal problem-solving were found to buffer the effects of internal entrapment on suicidal thoughts (Chapter 6).Overall, the findings of this thesis serve to further our understanding of the psychological processes underlying the development of, and resilience to, suicidality amongst prisoners. These results underscore the need to empirically examine the applicability and transferability of psychological models of suicide within prisoner populations. Theoretical and clinical implications of these findings are outlined throughout the thesis.

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4

Goszer, Libby. "Adolescent suicidality and attachment pathology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0027/NQ37706.pdf.

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5

Miller, Jaclyn. "Social problem-solving and suicidality." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6212/.

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Aims. This thesis aimed to investigate the relationships between social problem-solving, defeat, entrapment and other cognitive risk factors (rumination, goal adjustment) for suicidal ideation and behaviour. The investigation was carried out using the framework of the Integrated Motivational-Volitional Model of Suicidal Behaviour (IMV; O’Connor, 2011) and this thesis aimed to test aspects of this theoretical model. In addition, this thesis also aimed to critically evaluate the measures of social problem-solving employed in suicide research. Method. Five empirical studies across five chapters were conducted. In order to achieve the study’s aims, a systematic review was conducted first which informed the selection of the social problem-solving measures employed within the thesis (Chapter 3). The review also identified the need to update the original Means End Problem-Solving task (MEPS; Platt and Spivack, 1975). A series of focus groups were conducted to revise and update the measure (Chapter 6), two studies were then conducted to test the revised measure (MEPS-R; Chapter 7). A further two studies investigated the relationship between social problem-solving and suicidal ideation and behaviour. The first empirical study was prospective (Chapter 5) and the second was experimental in design (Chapter 8). All studies employed both student and general population samples. Results. The Social Problem-Solving Inventory (SPSI-R; D’Zurilla, et al, 2002) and the MEPS were identified as the most common measures employed in suicide research (Chapter 3). The SPSI-R was employed in all studies and the original MEPS was revised and tested. The MEPS-R was found to be a reliable measure, both inter-rater and internal consistency were good although the MEPS-R scores did not correlate with established risk factors of psychological distress (Chapter 7). However, in the experimental study the MEPS-R was found to correlate with psychological distress (Chapter 8). Dysfunctional social problem-solving was found to be the most pernicious of the SPSI-R subscales and individuals who reported a history of self-harm were found to score higher in dysfunctional problem-solving than individuals who reported no history of self-harm (Chapter 5 and 8). Dysfunctional social problem-solving was found to mediated the defeat-entrapment relationship and rational problem-solving moderate this relationship. Defeat had no discernible impact on social problem-solving performance (Chapter 8). Conclusion. This research makes a novel contribution to the understanding of the relationships between social problem-solving, defeat, entrapment, rumination, goal adjustment and suicidal ideation/behaviour. It also highlights the importance of the dysfunctional aspect of social problem-solving. The IMV model was a useful framework for understanding these relationships. In addition, the revised MEPS (MEPS-R) is a reliable measure of social problem-solving, which is more applicable for use in today’s society but it requires further testing, especially in clinical populations.

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Fordwood, Samantha Roanne. "A longitudinal model of suicidality among outpatient youth effects of previous suicidality, psychopathology, and gender /." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1472131491&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Dykxhoorn, Jennifer. "Early Life Predictors of Adolescent Suicidality." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32083.

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Background: Suicidal thoughts affect 12% of Canadian adolescents. Previous research has linked many factors to suicidality but has not considered how these factors may act together or their effect on non-mental health outcomes. Methods: I used the National Longitudinal Survey of Children and Youth to construct predictive models for suicidal thinking. Recursive partitioning models were constructed and the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for suicidal thoughts and secondary outcomes was calculated. I tested the models in the Avon Longitudinal Survey of Parents and Children. Results: Predictive model sensitivity was 24.2%, specificity was 89.8%, PPV was 24.7%, and NPV was 89.5% and had similar accuracy in the second dataset. The models were better at predicting other adverse outcomes compared to suicidal ideas. Conclusion: Exposure to multiple risk factors is predictive of several poor outcomes in adolescence including suicidal thoughts.

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8

Dodd, Will. "Addressing Adolescent Suicidality in Primary Care." Digital Commons @ East Tennessee State University, 2021. https://dc.etsu.edu/etsu-works/8918.

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Develop awareness of the current literature on risk and protective factors related to adolescent suicidal thoughts and behaviors. Describe one evidence supported clinical tool that can guide adolescent suicide risk assessment in primary care

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9

Barber-Lomax, Lisa. "Attitudes and change in suicidality and self harm." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/3203/.

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This thesis comprises two volumes, representing the research and clinical components submitted to the University of Birmingham in partial fulfillment of the degree of Doctor of Clinical Psychology (D.ClinPsy). The first volume is the research component and contains three papers. The first paper is a literature review of research into healthcare professionals’ attitudes towards working with suicidality and people who self-harm. The review considers the presence and type of attitudes, followed by possible mediating factors. The second paper is an empirical study which describes the rationale, process and results of a Mindfulness based intervention on reducing vulnerability to suicidality in young adults. The study adopts a mixed methods approach, and analyses self-report questionnaire data using the reliable change index, and semi-structured interview data using template analysis. The third paper describes the literature review and empirical paper in language appropriate for dissemination to the general public. The second volume is the clinical component containing four Clinical Practice Reports. They include a paper which formulates a client’s case from two different psychological perspectives, a service evaluation, a single case experimental design and a case study. The fifth report is an abstract, describing a clinical presentation of a case study.

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Stinson, Jill D. "Risk Factors Associated With Suicidality and Sexual Offending." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etsu-works/7889.

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Libros sobre el tema "Suicidality"

1

DeSimone, Jeffrey S. Sadness, suicidality and grades. Cambridge, MA: National Bureau of Economic Research, 2010.

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2

Rudd, M. David. The asssessment and management of suicidality. Sarasota, Fla: Professional Resource Press, 2006.

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3

Praag, Herman M. van 1929-, Plutchik Robert, and Apter Alan, eds. Violence and suicidality: Perspectives in clinical and psychobiological research. New York: Brunner/Mazel, 1990.

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4

Cheng, Bryan. Adolescent Depression and Suicidality in the USA: A Look at YRBS Profiles and Health Risk Behaviors as Predictors in the Past 10 Years. [New York, N.Y.?]: [publisher not identified], 2018.

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Burns, Tom, and Mike Firn. Suicidality. Edited by Tom Burns and Mike Firn. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754237.003.0013.

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The chapter describes ways of understanding, predicting, and managing suicidality and self-harm in people with severe and enduring mental illness in contact with community outreach teams. Data on incidence are presented with evidence on associations with factors such as demographics, diagnosis, co-morbidity, and life events as a way of identifying risk factors. Validated tools and frameworks for assessment are presented and critiqued with research evidence for the effectiveness of interventions. The chapter concludes with a case study, care plan, and risk management plan of a man whose life has been devastated by psychotic illness.

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Kissane, David W., and Matthew Doolittle. Depression, demoralization, and suicidality. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0173.

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The development of clinical depression is common during palliative care, adversely affects quality of life and adherence to medical treatments, yet regrettably can pass unrecognized. Screening for distress as the sixth vital sign is therefore highly recommended. Demoralization is another form of distress where the apparent pointlessness of continued life may lead to suicidal thinking. As the mental condition deteriorates, co-morbid states of anxiety, depression, and demoralization become more likely. Rates of suicide are increased with advanced cancer and poor symptom control. Fortunately, combined treatment with medication and counselling is effective in ameliorating depression, demoralization, and suicidality. Meta-analyses of psychotherapy trials confirm clear benefits, with behavioural activation, supportive, interpersonal, and cognitive behavioural therapies all making contributions. Group, couple, and family therapies optimize support for all involved. All members of the multidisciplinary team contribute to the active treatment of depression, demoralization, and the prevention of suicide.

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7

Barron, Daniel, and Noah Capurso. Clozapine for Suicidality in Schizophrenia. Edited by Ish P. Bhalla, Rajesh R. Tampi, Vinod H. Srihari, and Michael E. Hochman. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190625085.003.0046.

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Patients with schizophrenia have a 50% risk of a suicide attempt during their life, with a nearly an estimated 10% risk of completed suicide. Decreasing this risk is an urgent clinical concern. This chapter provides a summary of a landmark study on how to reduce suicidality in patients with schizophrenia, specifically whether clozapine reduces suicidal events in patients with schizophrenia. This chapter describes the outline of the study, including fundings sources, study locations, the patient population and how many were studied, the study design and intervention through to follow-up, endpoints, results, and limitations. The chapter briefly reviews other relevant studies and information, discusses implications, and concludes with a relevant clinical case.

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Cawthorpe, David. Attachment and Suicidality in Youth. Independently Published, 2018.

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9

(Editor), P. Gotze, G. Fiedler (Editor), and R. Lindner (Editor), eds. Suicidality: Psychoanalytic Concepts for Understanding Treatment & Research. Hogrefe & Huber Publishing, 2008.

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Saunders, David, and Michael H. Bloch. Suicidality in Pediatric Patients Treated with Antidepressant Drugs. Edited by Ish P. Bhalla, Rajesh R. Tampi, Vinod H. Srihari, and Michael E. Hochman. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190625085.003.0023.

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This chapter provides a summary of a landmark meta-analysis on the treatment of major depressive disorder in children and adolescents. The results of this study prompted the Food and Drug Administration to issue a black box warning on antidepressant use in pediatric populations. Do antidepressants increase suicidality in children and adolescents who are depressed? Starting with that question, it describes the basics of the study, including funding, study location, who was studied, how many patients, study design, study intervention, follow-up, endpoints, results, and criticism and limitations. The chapter briefly reviews other relevant studies and information, discusses implications, and concludes with a relevant clinical case.

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Capítulos de libros sobre el tema "Suicidality"

1

Levesque, Roger J. R. "Suicidality." In Encyclopedia of Adolescence, 2919. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_612.

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Lord, Susan A. "Suicidality." In Learning the Hard Way in Clinical Internships in Social Work and Psychology, 32–38. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003453475-6.

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McColgan, Lorraine. "Suicidality." In Group Therapy for Adult Survivors of Childhood Abuse, 83–85. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003268888-26.

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Levesque, Roger J. R. "Suicidality." In Encyclopedia of Adolescence, 1–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32132-5_612-2.

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Levesque, Roger J. R. "Suicidality." In Encyclopedia of Adolescence, 3878–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_612.

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Leung, Alexander K. C., Cham Pion Kao, Andrew L. Wong, Alexander K. C. Leung, Thomas Kolter, Ute Schepers, Konrad Sandhoff, et al. "Suicidality." In Encyclopedia of Molecular Mechanisms of Disease, 2005. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_7630.

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Cukrowicz, Kelly C., Phillip N. Smith, and Erin F. Schlegel. "Managing Suicidality." In Handbook of Clinical Psychology Competencies, 1157–80. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-09757-2_41.

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Hadlaczky, Gergö, and Danuta Wasserman. "Suicidality in Women." In Contemporary Topics in Women's Mental Health, 117–37. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470746738.ch5.

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Fleisher, Carl. "Suicidality in Context." In Adolescent Suicide and Self-Injury, 59–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42875-4_5.

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Paris, Joel. "Suicidality and Suicide." In Half in Love with Death, 11–22. 2nd ed. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003323648-2.

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Actas de conferencias sobre el tema "Suicidality"

1

Kelly, Lourah, Nicholas Livingston, Tess Drazdowski, and Kristyn Zajac. "Gender and Age Differences in Comorbid Cannabis Use Disorders and Suicidality in a National Sample." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.28.

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Approximately 40 million adults use marijuana annually, making marijuana one of the most commonly used substances in the United States (SAMHSA, 2019). Men and emerging adults (ages 18-25) report higher prevalence of cannabis use disorders (CUDs) relative to women and older adults (CBHSQ, 2015; Khan et al., 2013). More frequent marijuana use is associated with greater likelihood of suicidal ideation (Ilgen et al., 2009), and past year use in emerging adults is associated with future suicide attempts (Pedersen, 2008). Similar to correlates of marijuana use, emerging adults and men have higher rates of suicidality (SAMHSA, 2019; Krug et al., 2002). Limited research has tested gender and age differences in comorbid CUDs and suicidality. The current study evaluated gender and age differences in CUDs only, suicidality only, or comorbid CUDs and suicidality in a national sample of adults. We hypothesized that men and emerging adults would be over-represented in comorbid CUDs and suicidality and CUDs only groups. Data were from four consecutive years (2015-2018) of the National Survey of Drug Use and Heath. Multinomial logistic regressions tested gender and age differences in adults with DSM-IV cannabis abuse or dependence (CUDs) only, suicidality only, and comorbid CUDs and suicidality, all compared to adults with neither CUDs or suicidality. Four separate regressions were conducted for passive suicidal ideation, active suicidal ideation, suicide planning, and suicide attempts. Gender was coded as male or female. Age groups were 18–25, 26–34, 35–49, and 50 years or older. Analyses controlled for survey year, race/ethnicity, sexual orientation, education, household income, past year major depressive episode, past year DSM-IV alcohol abuse or dependence, and past year illicit drug abuse or dependence other than CUDs. Men disproportionately reported CUDs only (ORs=1.73-2.19, p<.001) and comorbid CUDs and passive suicidal ideation, active suicidal ideation, and suicide planning (ORs=1.72-2.12, p<.01), but not attempts (OR=1.16, p=.45) relative to women. Men reported 22% higher odds of active suicidal ideation than women. Women reported 15% higher odds of suicide attempts than men. Gender differences in passive suicidal ideation and planning were not statistically significant. Compared to older age groups, emerging adults were significantly more likely to report CUDs only (ORs=1.74-10.49, p’s<.01) and showed 2.36 to 14.24 times greater odds of comorbid CUDs and all four forms of suicidality (p<.001). Emerging adults were at 18% to 66% higher odds of either passive or active suicidal ideation alone compared to all older age groups (p’s<.001). This study investigated the relations between CUDs, suicidality, gender, and age in a nationally representative sample of adults. Results indicated that men and emerging adults consistently reported the highest likelihood of negative outcomes. Next steps include determining the direction of the relationship between CUDs and increasing severity of suicidality. Further, development and investment in programs for emerging adults with CUDs and suicidality are vitally important given the striking risk profile compared to other age groups. Future research should include program development and evaluation as well as gathering more information on risk and protective factors for these populations.

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2

Agurto, Carla, Pat Pataranutaporn, Elif K. Eyigoz, Gustavo Stolovitzky, and Guillermo Cecchi. "Predictive Linguistic Markers of Suicidality in Poets." In 2018 IEEE 12th International Conference on Semantic Computing (ICSC). IEEE, 2018. http://dx.doi.org/10.1109/icsc.2018.00051.

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Shing, Han-Chin, Philip Resnik, and Douglas Oard. "A Prioritization Model for Suicidality Risk Assessment." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-main.723.

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4

Lee, Daeun, Migyeong Kang, Minji Kim, and Jinyoung Han. "Detecting Suicidality with a Contextual Graph Neural Network." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.clpsych-1.10.

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Perry, I'Sis, and Albert Park. "Exploring Suicidality on Social Media: Qualitative Analysis of Twitter." In 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). IEEE, 2021. http://dx.doi.org/10.1109/ichi52183.2021.00061.

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Kositsyna, D. S., and N. A. Kora. "The role of the family in preventing adolescent suicidality." In ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ. НИЦ «Л-Журнал», 2019. http://dx.doi.org/10.18411/lj-02-2019-33.

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Rahaman, Md Naimur, Sudipto Chaki, Md Shovon Biswas, Milon Biswas, Shamim Ahmed, Md Julkar Nayeen Mahi, and Nuruzzaman Faruqui. "Identifying the Signature of Suicidality : A Machine Learning Approach." In Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India. EAI, 2022. http://dx.doi.org/10.4108/eai.16-4-2022.2318160.

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Boinepelli, Sravani, Shivansh Subramanian, Abhijeeth Singam, Tathagata Raha, and Vasudeva Varma. "Towards Capturing Changes in Mood and Identifying Suicidality Risk." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.clpsych-1.24.

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Chin, Wei-Shan, Judith Shu-Chu Shiao, Shih-Cheng Liao, Kuan-Han Lin, Chun-Ya Kuo, Chih-Chieh Chen, and Yue Leon Guo. "P163 Prevalence rate of suicidality six years after occupational injury." In Occupational Health: Think Globally, Act Locally, EPICOH 2016, September 4–7, 2016, Barcelona, Spain. BMJ Publishing Group Ltd, 2016. http://dx.doi.org/10.1136/oemed-2016-103951.480.

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Sawhney, Ramit, Atula Neerkaje, and Manas Gaur. "A Risk-Averse Mechanism for Suicidality Assessment on Social Media." In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.acl-short.70.

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Informes sobre el tema "Suicidality"

1

DeSimone, Jeffrey. Sadness, Suicidality and Grades. Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16239.

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Heyman, Richard E., and Amy M. Slep. Family Maltreatment, Substance Problems, and Suicidality: Randomized Prevention Effectiveness Trial. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada485994.

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Heyman, Richard E., and Amy M. Slep. Family Maltreatment, Substance Problems, and Suicidality: Randomized Prevention Effectiveness Trial. Fort Belvoir, VA: Defense Technical Information Center, February 2007. http://dx.doi.org/10.21236/ada469775.

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4

Rancans, Elmars, Jelena Vrublevska, Ilana Aleskere, Baiba Rezgale, and Anna Sibalova. Mental health and associated factors in the general population of Latvia during the COVID-19 pandemic. Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/0mqsi9.

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Description The goal of the study was to assess mental health, socio-psychological and behavioural aspects in the representative sample of Latvian general population in online survey, and to identify vulnerable groups during COVID-19 pandemic and develop future recommendations. The study was carried out from 6 to 27 July 2020 and was attributable to the period of emergency state from 11 March to 10 June 2020. The protocol included demographic data and also data pertaining to general health, previous self-reported psychiatric history, symptoms of anxiety, clinically significant depression and suicidality, as well as a quality of sleep, sex, family relationships, finance, eating and exercising and religion/spirituality, and their changes during the pandemic. The Center for Epidemiologic Studies Depression scale was used to determine the presence of distress or depression, the Risk Assessment of Suicidality Scale was used to assess suicidal behaviour, current symptoms of anxiety were assessed by the State-Trait Anxiety Inventory form Y. (2021-02-04) Subject Medicine, Health and Life Sciences Keyword: COVID19, pandemic, depression, anxiety, suicidality, mental health, Latvia

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5

Yinan, Zhan, Gao Qi, Xu Huijing, Jiang Qian, Zhang Yi, and Liu Taosheng. The effectiveness of Interpersonal psychotherapy in reducing suicidality: a protocol for meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2020. http://dx.doi.org/10.37766/inplasy2020.5.0082.

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Smith, Amy M., and Richard E. Heyman. Family Maltreatment, Substance Problems, and Suicidality: Prevalence Surveillance and Ecological Risk/Protective Factors Models. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada494430.

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Allen, Elizabeth S. Relationship Factors Contributing to the Progression of Combat Related PTSD and Suicidality Over Time. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada580459.

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8

Smith Slep, Amy M., and Richard E. Heyman. Innovative Surveillance and Risk Reduction Systems for Family Maltreatment, Suicidality, and Substance Problems in the USAF. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada454789.

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London, Andrew, and Kevin Antshel. Increased Suicidality Risk among Adolescents with an Active-Duty Sibling or Parent in the United States. Syracuse University: Syracuse University Libraries, February 2025. https://doi.org/10.14305/rt.lerner.2025.5.

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Jobes, David A., Katherine Comtois, Peter Gutierrez, Lisa Brenner, Bruce Crow, and Keith Jennings. A Randomized Clinical Trial of the Collaborative Assessment and Management of Suicidality vs. Enhanced Care as Usual for Suicidal Soldiers. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada562326.

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