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Chang YW, Buerke M, Galfalvy H, Szanto K. Childhood trauma is associated with early-onset but not late-onset suicidal behavior in late-life depression. Int Psychogeriatr 2024; 36:371-384. [PMID: 37642013 PMCID: PMC10902201 DOI: 10.1017/s1041610223000662] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
OBJECTIVES To examine the relationship between childhood traumatic experiences and early and late-onset suicidal behavior among depressed older adults. DESIGN Cross-sectional study. SETTING Inpatient and outpatient psychiatric services in Pennsylvania. PARTICIPANTS Our sample included 224 adults aged 50+ (M ± SD = 62.5 ± 7.4) recruited into three depressed groups: (1) 84 suicide attempters, (2) 44 suicide ideators, and (3) 58 non-suicidal comparisons, and a non-psychiatric healthy comparison group (N = 38). MEASUREMENTS The Childhood Trauma Questionnaire measured experiences of childhood trauma such as emotional abuse, physical abuse, emotional neglect, physical neglect, and sexual abuse. RESULTS Attempters were separated into early- and late-onset based on age of first attempt using a statistical algorithm that identified a cutoff age of 30 years old. Overall, we found group differences in emotional and physical abuse and neglect in both genders and sexual abuse in females, but not in males. Early-onset attempters experienced more childhood emotional abuse and neglect than late-onset attempters and were more likely to have experienced multiple forms of abuse. They also experienced more emotional abuse and neglect than all comparison groups. Consistently, early-onset attempters more often met criteria for current or lifetime PTSD relative to late-onset attempters and most comparison groups. Late-onset attempters had similar levels of childhood trauma as other depressed groups. CONCLUSIONS Our study reaffirms that there are distinct pathways to suicidal behavior in older adults based on their age of first suicide attempt and that trauma experienced in childhood has long-lasting emotional and behavioral consequences, even into late life.
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Affiliation(s)
- Ya-Wen Chang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Morgan Buerke
- Department of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA
| | - Hanga Galfalvy
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
| | - Katalin Szanto
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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O'Brien E, Whitman K, Buerke M, Galfalvy H, Szanto K. Life-Satisfaction, Engagement, Mindfulness, Flourishing, and Social Support: Do they Predict Depression, Suicide Ideation, and History of Suicide Attempt in Late Life? Am J Geriatr Psychiatry 2023; 31:415-424. [PMID: 36682987 PMCID: PMC10164675 DOI: 10.1016/j.jagp.2022.12.192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 12/12/2022] [Accepted: 12/26/2022] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Suicide is an outcome arising from a combination of risk and protective factors. Examining psychological resilience traits associated with successful aging may help to better understand late-life suicide and depression. We examined self-reported protective factors including mindfulness, life satisfaction and engagement, flourishing, and subjective and objective social support in a high suicide-risk sample of depressed older adults. METHODS Participants were 297 individuals aged 55+ (mean age: 64.2): 92 depressed suicide attempters, 138 depressed individuals who never attempted suicide, and 67 non-psychiatric comparisons. Using linear and binomial logistic regression, we examined the effects of a combined Protective Factor value on presence and severity of depression and suicidal ideation, and history of suicide attempt. RESULTS Relative to the non-psychiatric comparison group, all depressed participants had significantly lower Protective Factor values. Higher Protective Factor value was associated with lower likelihood of depression, depression severity, and likelihood of ideation, but was not associated with ideation severity or history of suicide attempt. Participants with one standard deviation higher Protective Factor had lower odds of ideation incidence by a factor of OR=0.68 (95%CI=0.48-0.96). CONCLUSION Resiliency characteristics relevant to psychological wellbeing and successful aging may mitigate the emergence of depression and suicidal ideation, as well as the severity of depression in late-life. The Resilience Factor used in this study can help clinicians nuance their appraisal of depression and suicide risk.
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Affiliation(s)
- Emma O'Brien
- Department of Psychiatry (OBE, WK, SK), University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Kathrine Whitman
- Department of Psychiatry (OBE, WK, SK), University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Morgan Buerke
- Department of Psychology (BM), University of Southern Mississippi, Hattiesburg, MS
| | - Hanga Galfalvy
- Department of Psychiatry (GH), Columbia University College of Physicians and Surgeons, New York, NY; Department of Molecular Imaging and Neuropathology (GH), New York State Psychiatric Institute, New York, NY
| | - Katalin Szanto
- Department of Psychiatry (OBE, WK, SK), University of Pittsburgh School of Medicine, Pittsburgh, PA.
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Galfalvy H, Szücs A, Chang YW, Buerke M, Szanto K. Long-Term Suicidal Ideation Profiles in Late-Life Depression and Their Association With Suicide Attempt or Death by Suicide. J Clin Psychiatry 2023; 84:22m14469. [PMID: 36791367 PMCID: PMC10026371 DOI: 10.4088/jcp.22m14469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Objective: In young and middle-aged adults, suicidal ideation is an important predictor of prospective suicide attempts, but its predictive power in late life remains unclear. In this study, we used Latent Profile Analysis (LPA) in a cohort of depressed older adults to identify distinct ideation profiles and their clinical correlates and test their association with risk of suicidal behavior longitudinally. Methods: A total of 337 depressed older adults (aged 50-93 years) were assessed for suicidal ideation and behavior for up to 14 years (median = 3 years), at least once per year (study period: 2002-2020). LPA was used, which derived 4 profiles of ideation scores based on subject-level aggregates. Groups were compared using analysis of variance (ANOVA) and χ2 tests at baseline and competing risk survival analysis during follow-up. Results: Ideation showed significant decline over time, on average (P < .001). LPA identified 4 suicidal ideation profiles. Risk of suicide attempt/death was higher for chronic severe ideators (age-adjusted hazard ratio [HR] = 5.75; 95% CI, 2.25-14.7; P < .001) and highly variable ideators (HR = 3.21; 95% CI, 1.03-10.1; P = .045) compared to fast-remitting ideators, despite comparable current ideation severity at baseline. Fast-remitting ideators had higher risk than low/non-ideators with no attempts or suicides (P < .001). Chronic severe ideators displayed the most severe dysfunction across personality, social characteristics, and impulsivity measures, whereas highly variable and fast-remitting ideators displayed specific deficits. Conclusions: Assessing suicidal ideation over months/years has clinical relevance, as it enabled the identification of distinct ideation patterns associated with substantive differences in clinical presentation and risk of future suicidal behavior despite similar ideation levels at baseline.
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Affiliation(s)
- Hanga Galfalvy
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, New York
- Corresponding author: Hanga Galfalvy, PhD, New York State Psychiatric Institute, 1051 Riverside Dr, Unit 48, New York, NY, 10032
| | - Anna Szücs
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ya-Wen Chang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Morgan Buerke
- Department of Psychology, University of Southern Mississippi, Hattiesburg, Mississippi
| | - Katalin Szanto
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Buerke M, Galfalvy H, Keilp J, Sheftall A, Burke A, Bridge J, Mann J, Szanto K. Age effects on clinical and neurocognitive risk factors for suicide attempt in depression - Findings from the AFSP lifespan study. J Affect Disord 2021; 295:123-130. [PMID: 34425314 PMCID: PMC8551053 DOI: 10.1016/j.jad.2021.08.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/04/2021] [Accepted: 08/06/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Studies of risk factors for suicidal behavior are typically restricted to narrow age ranges, making it difficult to determine if they have the same relevance or potency across the full adult lifespan. METHODS This study examined selected clinical and neurocognitive risk factors for suicidal behavior - borderline personality traits, aggression, depressive rumination, memory performance, and language fluency- in a multi-site sample (N = 309, ages 16-80) of depressed patients with a recent (last 5 years) suicide attempt or no history of attempt, and demographically similar non-psychiatric controls. We examined cross-sectional age and attempter/non-attempter differences on these risk factors, and whether certain risk factors were more prominent discriminators of past suicide attempt earlier or later in the lifespan. Correlations with age were computed, and logistic regression was used to classify attempter status based on each risk factor and its interaction with age. RESULTS Nearly all risk factors were negatively correlated with age. Borderline traits, aggression, memory, and category fluency each predicted attempter status (p < 0.05), but these effects were not different across ages. In contrast, the association between rumination and suicide attempt status differed across the lifespan, becoming a stronger discriminator of past suicidal behavior at older ages. LIMITATIONS The cross-sectional design limits our developmental findings. CONCLUSIONS Despite age-related changes in symptom severity or neurocognitive performance, key risk factors for suicidal behavior previously identified in studies with more restricted age-ranges are salient throughout the adult lifespan. In contrast, depressive rumination may be particularly salient in later life.
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Affiliation(s)
- M. Buerke
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - H. Galfalvy
- Columbia University College of Physicians and Surgeons, Department of Psychiatry, New York, NY, USA,New York State Psychiatric Institute, Department of Molecular Imaging and Neuropathology, New York, NY, USA
| | - J. Keilp
- Columbia University College of Physicians and Surgeons, Department of Psychiatry, New York, NY, USA,New York State Psychiatric Institute, Department of Molecular Imaging and Neuropathology, New York, NY, USA
| | - A. Sheftall
- Ohio State University College of Medicine, Departments of Pediatrics and Psychiatry & Behavioral Health, Columbus, OH, USA
| | - A. Burke
- Columbia University College of Physicians and Surgeons, Department of Psychiatry, New York, NY, USA,New York State Psychiatric Institute, Department of Molecular Imaging and Neuropathology, New York, NY, USA
| | - J. Bridge
- Ohio State University College of Medicine, Departments of Pediatrics and Psychiatry & Behavioral Health, Columbus, OH, USA
| | - J. Mann
- Columbia University College of Physicians and Surgeons, Department of Psychiatry, New York, NY, USA,New York State Psychiatric Institute, Department of Molecular Imaging and Neuropathology, New York, NY, USA
| | - K. Szanto
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
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Russell AE, Hemani G, Jones HJ, Ford T, Gunnell D, Heron J, Joinson C, Moran P, Relton C, Suderman M, Watkins S, Mars B. An exploration of the genetic epidemiology of non-suicidal self-harm and suicide attempt. BMC Psychiatry 2021; 21:207. [PMID: 33892675 PMCID: PMC8066869 DOI: 10.1186/s12888-021-03216-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 04/14/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Empirical evidence supporting the distinction between suicide attempt (SA) and non-suicidal self-harm (NSSH) is lacking. Although NSSH is a risk factor for SA, we do not currently know whether these behaviours lie on a continuum of severity, or whether they are discrete outcomes with different aetiologies. We conducted this exploratory genetic epidemiology study to investigate this issue further. METHODS We explored the extent of genetic overlap between NSSH and SA in a large, richly-phenotyped cohort (the Avon Longitudinal Study of Parents and Children; N = 4959), utilising individual-level genetic and phenotypic data to conduct analyses of genome-wide complex traits and polygenic risk scores (PRS). RESULTS The single nucleotide polymorphism heritability of NSSH was estimated to be 13% (SE 0.07) and that of SA to be 0% (SE 0.07). Of the traits investigated, NSSH was most strongly correlated with higher IQ (rG = 0.31, SE = 0.22), there was little evidence of high genetic correlation between NSSH and SA (rG = - 0.1, SE = 0.54), likely due to the low heritability estimate for SA. The PRS for depression differentiated between those with NSSH and SA in multinomial regression. The optimal PRS prediction model for SA (Nagelkerke R2 0.022, p < 0.001) included ADHD, depression, income, anorexia and neuroticism and explained more variance than the optimal prediction model for NSSH (Nagelkerke R2 0.010, p < 0.001) which included ADHD, alcohol consumption, autism spectrum conditions, depression, IQ, neuroticism and suicide attempt. CONCLUSIONS Our findings suggest that SA does not have a large genetic component, and that although NSSH and SA are not discrete outcomes there appears to be little genetic overlap between the two. The relatively small sample size and resulting low heritability estimate for SA was a limitation of the study. Combined with low heritability estimates, this implies that family or population structures in SA GWASs may contribute to signals detected.
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Affiliation(s)
- Abigail Emma Russell
- Children and Young People's Mental Health Research Collaboration (ChYMe), University of Exeter College of Medicine and Health, Exeter, UK.
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol Medical School, Bristol, UK
- Population Health Sciences, University of Bristol Medical School, Bristol, UK
| | - Hannah J Jones
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
| | - Tamsin Ford
- University of Cambridge Department of Psychiatry, Cambridge, UK
| | - David Gunnell
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
- NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Jon Heron
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
| | - Carol Joinson
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
| | - Paul Moran
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
- NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, University of Bristol Medical School, Bristol, UK
- Population Health Sciences, University of Bristol Medical School, Bristol, UK
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, University of Bristol Medical School, Bristol, UK
- Population Health Sciences, University of Bristol Medical School, Bristol, UK
| | - Sarah Watkins
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
| | - Becky Mars
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol Medical School, Bristol, UK
- NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
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