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Ernst M, Schwinn T, Hirschmiller J, Cleare S, Robb KA, Brähler E, Zwerenz R, Wiltink J, O'Connor RC, Beutel ME. To what extent are psychological variables considered in the study of risk and protective factors for suicidal thoughts and behaviours in individuals with cancer? A systematic review of 70 years of research. Clin Psychol Rev 2024; 109:102413. [PMID: 38518584 DOI: 10.1016/j.cpr.2024.102413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 11/29/2023] [Accepted: 03/08/2024] [Indexed: 03/24/2024]
Abstract
Psychological variables substantially shape the risk of suicidal thoughts and behaviours (STBs). However, it is unclear to what extent they are considered in individuals with cancer. We synthesized the quantitative research landscape concerning psychological risk/protective factors of STBs in the (psycho-) oncological context. This pre-registered review (PROSPERO-ID CRD42022331484) systematically searched the databases PubMed/Medline, CINAHL, PsycInfo, Cochrane Library, and Web of Science (as well as the grey literature and preprints). Risk of bias (RoB) was estimated using the ROBINS-I tool. Of 11,159 retrieved records, 319 studies were eligible for inclusion. Of those, 163 (51.1%) had investigated psychological factors (affective: n = 155; social: n = 65; cognitive: n = 63; personality/individual differences: n = 37; life events: n = 6), in a combined 3,561,741 participants. The most common STBs were suicidal ideation (n = 107) or death wishes (n = 20) rather than behaviour (suicide deaths: n = 26; attempts: n = 14). Most studies had a serious RoB. Thus, a large body of research investigated STBs in cancer patients/survivors, but it rarely aligned with the theoretical or clinical developments in suicide research. We propose a conceptual model of STBs in cancer delineating moderation and mediation effects to advance the integration of the fields, and to inform future research and practice.
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Affiliation(s)
- Mareike Ernst
- Department of Clinical Psychology, Psychotherapy and Psychoanalysis, Institute of Psychology, University of Klagenfurt, Klagenfurt am Wörthersee, Austria; Suicidal Behaviour Research Laboratory, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom; Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
| | - Tamara Schwinn
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Judith Hirschmiller
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Seonaid Cleare
- Suicidal Behaviour Research Laboratory, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Kathryn A Robb
- Cancer Behaviour Research Group, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Elmar Brähler
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; Department of Medical Psychology and Medical Sociology, University Hospital Leipzig, Leipzig, Germany
| | - Rüdiger Zwerenz
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Jörg Wiltink
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Rory C O'Connor
- Suicidal Behaviour Research Laboratory, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Manfred E Beutel
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
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Chen J, Ping Z, Hu D, Wang J, Liu Y. Risk factors associated with suicidal ideation among cancer patients: a systematic review and meta-analysis. Front Psychol 2024; 14:1287290. [PMID: 38259550 PMCID: PMC10800839 DOI: 10.3389/fpsyg.2023.1287290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Objective The objective of this review was to provide a comprehensive summary and analysis of the risk factors associated with suicidal ideation among cancer patients. Methods This review adhered to the PICO/S framework and guidelines outlined in the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework (PROSPERO CRD42023433639). We searched Web of Science, PubMed, Embase, Scopus, PsycINFO, and Cochrane Library from the establishment date of the databases until June 9, 2023 for observational studies that reveal risk factors associated with suicidal ideation among cancer patients. Software Review Manager 5 (vision 5.4) was used for Meta-analyses. Results 4,921 studies were obtained through the search of the databases, 40 of which were eligible. Meta-analysis revealed that suicidal ideation in cancer patients was significantly associated with marital status, living alone, post-traumatic stress disorder (PTSD), panic disorder, education, psychiatric illness history, social functioning, childhood adversity experience, financial problems, pain, depression, demoralization, vomiting, residence and anxiety. Conclusion Being unmarried, living alone, less educated, living in rural, financial problems, pain, vomiting, PTSD, psychiatric illness history, lower social functioning, childhood adversity experience, anxiety, depression, demoralization, panic disorder were risk factors for suicidal ideation among cancer patients. This review provided evidence-based information for identifying and reducing the risk of suicide in cancer survivors.Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, CRD42023433639.
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Affiliation(s)
- Jie Chen
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiheng Ping
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Deying Hu
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaqing Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yilan Liu
- Department of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Dent KR, Szymanski BR, Kelley MJ, Katz IR, McCarthy JF. Suicide risk following a new cancer diagnosis among Veterans in Veterans Health Administration care. Cancer Med 2022; 12:3520-3531. [PMID: 36029038 PMCID: PMC9939100 DOI: 10.1002/cam4.5146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/29/2022] [Accepted: 07/28/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Cancer diagnoses are associated with an increased risk for suicide. The aim of this study was to evaluate this association among Veterans receiving Veterans Health Administration (VHA) care, a population that has an especially high suicide risk. METHODS Among 4,926,373 Veterans with VHA use in 2011 and in 2012 or 2013, and without VHA cancer diagnoses in 2011, we assessed suicide risk following incident cancer diagnoses. Risk time was from initial VHA use in 2012-2013 to 12/31/2018 or death, whichever came first. Cox proportional hazards regression models evaluated associations between new cancer diagnoses and suicide risk, adjusting for age, sex, VHA regional network, and mental health comorbidities. Suicide rates were calculated among Veterans with new cancer diagnoses through 84 months following diagnosis. RESULTS A new cancer diagnosis corresponded to a 47% higher suicide risk (Adjusted Hazard Ratio [aHR] = 1.47, 95% CI: 1.33-1.63). The cancer subtype associated with the highest suicide risk was esophageal cancer (aHR = 6.01, 95% CI: 3.73-9.68), and other significant subtypes included head and neck (aHR = 3.55, 95% CI: 2.74-4.62) and lung cancer (aHR = 2.35, 95% CI: 1.85-3.00). Cancer stages 3 (aHR = 2.36, 95% CI: 1.80-3.11) and 4 (aHR = 3.53, 95% CI: 2.81-4.43) at diagnosis were positively associated with suicide risk. Suicide rates were highest within 3 months following diagnosis and remained elevated in the 3-6- and 6-12-month periods following diagnosis. CONCLUSION Among Veteran VHA users, suicide risk was elevated following new cancer diagnoses. Risk was particularly high in the first 3 months. Additional screening and suicide prevention efforts may be warranted for VHA Veterans newly diagnosed with cancer.
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Affiliation(s)
- Kallisse R. Dent
- Veterans Affairs (VA) Serious Mental Illness Treatment Resource and Evaluation CenterOffice of Mental Health and Suicide PreventionAnn ArborMichiganUSA
| | - Benjamin R. Szymanski
- Veterans Affairs (VA) Serious Mental Illness Treatment Resource and Evaluation CenterOffice of Mental Health and Suicide PreventionAnn ArborMichiganUSA
| | - Michael J. Kelley
- Veterans Affairs (VA) National Oncology ProgramSpecialty Care Services, VAWashingtonDistrict of ColumbiaUSA,Duke Cancer InstituteDurhamNorth CarolinaUSA,Hematology‐OncologyDurham VA Health Care SystemDurhamNorth CarolinaUSA
| | - Ira R. Katz
- VA Office of Mental Health and Suicide PreventionWashingtonDistrict of ColumbiaUSA
| | - John F. McCarthy
- Veterans Affairs (VA) Serious Mental Illness Treatment Resource and Evaluation CenterOffice of Mental Health and Suicide PreventionAnn ArborMichiganUSA
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Huang S, Lewis MO, Bao Y, Adekkanattu P, Adkins LE, Banerjee S, Bian J, Gellad WF, Goodin AJ, Luo Y, Fairless JA, Walunas TL, Wilson DL, Wu Y, Yin P, Oslin DW, Pathak J, Lo-Ciganic WH. Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review. J Clin Med 2022; 11:4813. [PMID: 36013053 PMCID: PMC9409905 DOI: 10.3390/jcm11164813] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/12/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022] Open
Abstract
Suicide is a leading cause of death in the US. Patients with pain conditions have higher suicidal risks. In a systematic review searching observational studies from multiple sources (e.g., MEDLINE) from 1 January 2000-12 September 2020, we evaluated existing suicide prediction models' (SPMs) performance and identified risk factors and their derived data sources among patients with pain conditions. The suicide-related outcomes included suicidal ideation, suicide attempts, suicide deaths, and suicide behaviors. Among the 87 studies included (with 8 SPM studies), 107 suicide risk factors (grouped into 27 categories) were identified. The most frequently occurring risk factor category was depression and their severity (33%). Approximately 20% of the risk factor categories would require identification from data sources beyond structured data (e.g., clinical notes). For 8 SPM studies (only 2 performing validation), the reported prediction metrics/performance varied: C-statistics (n = 3 studies) ranged 0.67-0.84, overall accuracy(n = 5): 0.78-0.96, sensitivity(n = 2): 0.65-0.91, and positive predictive values(n = 3): 0.01-0.43. Using the modified Quality in Prognosis Studies tool to assess the risk of biases, four SPM studies had moderate-to-high risk of biases. This systematic review identified a comprehensive list of risk factors that may improve predicting suicidal risks for patients with pain conditions. Future studies need to examine reasons for performance variations and SPM's clinical utility.
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Affiliation(s)
- Shu Huang
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Motomori O. Lewis
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Yuhua Bao
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - Prakash Adekkanattu
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - Lauren E. Adkins
- Health Science Center Libraries, University of Florida, Gainesville, FL 32610, USA
| | - Samprit Banerjee
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
- Cancer Informatics Shared Resource, University of Florida Health Cancer Center, University of Florida, Gainesville, FL 32610, USA
| | - Walid F. Gellad
- Division of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Center for Health Equity Research Promotion, Veterans Affairs Pittsburgh Healthcare System, Veterans Health Administration, Pittsburgh, PA 15240, USA
| | - Amie J. Goodin
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
- Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Yuan Luo
- Division of Health and Biomedical Informatics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jill A. Fairless
- Department of Psychiatry, University of Florida, Gainesville, FL 32610, USA
| | - Theresa L. Walunas
- Department of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Debbie L. Wilson
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Yonghui Wu
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Pengfei Yin
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - David W. Oslin
- Veterans Integrated Service Network 4 Mental Illness Research, Education, and Clinical Center (MIRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 15240, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jyotishman Pathak
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - Wei-Hsuan Lo-Ciganic
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
- Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
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Lutzman M, Sommerfeld E. The role of meaning in life as a protective factor in suicidal ideation among elderly men with physical illnesses. CURRENT PSYCHOLOGY 2021; 42:10603-10612. [PMID: 34629829 PMCID: PMC8486633 DOI: 10.1007/s12144-021-02332-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2021] [Indexed: 10/25/2022]
Abstract
The highest suicide rates are among elderly men. The aim of the present study is to extend previous findings by focusing on meaning in life as a protective factor for suicidal ideation among elderly men. Self-report measures were administered to 170 elderly men aged 65 and over in community. Meaning in life and physical illness predicted suicidal ideation among elderly men. Physical illness moderated the association between meaning in life and suicidal ideation. In the young-old group (ages 65-74), meaning in life predicted suicidal ideation among those who reported higher rates of physical illness. This moderation effect was not found among the older group (aged 75 years and older). The findings of this study highlight the importance of age-differences in studying suicidal ideation among elderly men. Our findings emphasize the importance of cultivating and maintaining meaning in life when coping with chronic illnesses and point at meaning in life as a goal in therapeutic interventions designed to reduce suicidal ideation among elderly.
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Affiliation(s)
- Mira Lutzman
- Department of Psychology, Ariel University, Ariel, Israel
- Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
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Simonetti JA, Piegari R, Maynard C, Brenner LA, Mori A, Post EP, Nelson K, Trivedi R. Characteristics and Injury Mechanisms of Veteran Primary Care Suicide Decedents with and without Diagnosed Mental Illness. J Gen Intern Med 2020:10.1007/s11606-020-05787-1. [PMID: 32219647 DOI: 10.1007/s11606-020-05787-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 03/09/2020] [Indexed: 01/12/2023]
Abstract
BACKGROUND In the United States, suicide rates are increasing among nearly all age groups. Primary care is a critical setting for suicide prevention, where interventions often rely on identifying mental health conditions as indicators of elevated suicide risk. OBJECTIVE Quantify the proportion of suicide decedents within primary care who had no antecedent mental health or substance use diagnosis. DESIGN Retrospective cohort study. PARTICIPANTS Veterans who received Veterans Health Administration (VHA) primary care any time from 2000 to 2014 and died by suicide before 2015 (n = 27,741). MAIN MEASURES We categorized decedents by whether they had any mental health or substance use diagnosis (yes/no) using ICD-9 codes available from VHA records. We compared sociodemographic, clinical, and suicide mechanism characteristics between groups using chi-square, Student's T, or Wilcoxon tests. RESULTS Forty-five percent of decedents had no mental health or substance use diagnosis. Decedents without such a diagnosis were older (68 vs. 57 years, p < 0.001), and more likely to be male (98.3% vs. 95.8%, p < 0.001), non-Hispanic White (90.6% vs. 87.9%, p < 0.001), married/partnered (50.4% vs. 36.6%, p < 0.001), and without military service-connected disability benefits (72.6% vs. 56.9%, p < 0.001). They were also more likely to die from firearm injury (78.9% vs. 60.7%, p < 0.001). There were statistically significant differences in physical health between groups, but the magnitudes of those differences were small. Decedents without a mental health or substance use diagnosis had significantly shorter durations of enrollment in VHA healthcare, less healthcare utilization in their last year of life, and had little utilization aside from primary care visits. CONCLUSIONS AND RELEVANCE From 2000 to 2014, of nearly thirty thousand VHA primary care patients who died by suicide, almost half had no antecedent mental health or substance use diagnosis. Within VHA primary care settings, suicide risk screening for those with and without such a diagnosis is indicated.
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Affiliation(s)
- Joseph A Simonetti
- Rocky Mountain Mental Illness Research, Education and Clinical Center, Rocky Mountain Regional VA Medical Center, G3-189, 1700 N Wheeling St, Aurora, CO, 80045, USA.
- Denver-Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Health Administration, Washington, D.C., USA.
- Division of Hospital Medicine, University of Colorado Anschutz School of Medicine, Aurora, CO, USA.
| | - Rebecca Piegari
- Department of Veterans Affairs, Clinical Systems Development and Evaluation, Veterans Health Administration, Washington, D.C., USA
| | - Charles Maynard
- VHA Primary Care Analytics Team, VA Puget Sound Healthcare System, Seattle, WA, USA
| | - Lisa A Brenner
- Rocky Mountain Mental Illness Research, Education and Clinical Center, Rocky Mountain Regional VA Medical Center, G3-189, 1700 N Wheeling St, Aurora, CO, 80045, USA
- Departments of Physical Medicine and Rehabilitation, Psychiatry, and Neurology, University of Colorado Anschutz School of Medicine, Aurora, CO, USA
| | - Alaina Mori
- VHA Primary Care Analytics Team, VA Puget Sound Healthcare System, Seattle, WA, USA
| | - Edward P Post
- VA HSR&D Center for Clinical Management Research, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Karin Nelson
- VHA Primary Care Analytics Team, VA Puget Sound Healthcare System, Seattle, WA, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
- General Medicine Service, VA Puget Sound Healthcare System, Seattle, WA, USA
| | - Ranak Trivedi
- Center for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Division of Public Mental Health and Population Sciences, Stanford University, Palo Alto, CA, USA
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Affiliation(s)
- Ruifeng Cui
- Department of Psychology, West Virginia University, Morgantown, West Virginia, USA
| | - Amy Fiske
- Department of Psychology, West Virginia University, Morgantown, West Virginia, USA
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