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Venkataraman S, Hazan H, Li F, Ferrara M, Harper A, Ma J, Shah J, Musket C, Levine N, Keshavan MS, Srihari V. Role of Early Psychosis Detection in the Relationship Between Personal Income and Duration of Untreated Psychosis. Psychiatr Serv 2024; 75:427-433. [PMID: 38204369 DOI: 10.1176/appi.ps.20230239] [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: 01/12/2024]
Abstract
OBJECTIVE Prolonged duration of untreated psychosis (DUP) predicts poor outcomes of first-episode psychosis (FEP) and is often linked to low socioeconomic status (SES). The authors sought to determine whether patients' personal income, used as a proxy for SES, predicts length of DUP and whether personal income influences the effect of an early psychosis detection campaign-called Mindmap-on DUP reduction. METHODS Data were drawn from a trial that compared the effectiveness of early detection in reducing DUP across the catchment area of an FEP service (N=147 participants) compared with an FEP service with no early detection (N=75 participants). Hierarchical regression was used to determine whether personal income predicted DUP when analyses controlled for effects of age, race, and exposure to early psychosis detection. A group × personal income interaction term was used to assess whether the DUP difference between the early detection and control groups differed by personal income. RESULTS Lower personal income was significantly associated with younger age, fewer years of education, Black race, and longer DUP. Personal income predicted DUP beyond the effects of age, race, and early psychosis detection. Although Mindmap significantly reduced DUP across all income levels, this effect was smaller for participants reporting lower personal income. CONCLUSIONS Patients' personal income may be an important indicator of disparity in access to specialty care clinics across a wide range of settings. Early detection efforts should measure and target personal income and other SES indicators to improve access for all individuals who may benefit from FEP services.
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Affiliation(s)
- Shruthi Venkataraman
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Hadar Hazan
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Fangyong Li
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Maria Ferrara
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Annie Harper
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Jessica Ma
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Jai Shah
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Christie Musket
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Nina Levine
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Matcheri S Keshavan
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
| | - Vinod Srihari
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal (Venkataraman); Department of Psychiatry, Program for Specialized Treatment Early in Psychosis, Yale University School of Medicine, New Haven (Hazan, Ferrara, Musket, Levine, Srihari); Yale Center for Analytical Sciences, Yale School of Public Health, New Haven (Li); Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy (Ferrara); Department of Psychiatry, McGill University, Montreal (Harper, Shah); Center for Brain Health, School of Brain and Behavioral Science, University of Texas at Dallas, Dallas (Ma); Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven (Musket); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston (Keshavan)
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Lee AH, Kitagawa Y, Mirhashem R, Rodriguez M, Hilerio R, Bernard K. Do dimensions of childhood adversity differ in their direct associations with youth psychopathology? A meta-analysis. Dev Psychopathol 2024:1-31. [PMID: 38584264 DOI: 10.1017/s0954579424000737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Growing evidence supports the unique pathways by which threat and deprivation, two core dimensions of adversity, confer risk for youth psychopathology. However, the extent to which these dimensions differ in their direct associations with youth psychopathology remains unclear. The primary aim of this preregistered meta-analysis was to synthesize the associations between threat, deprivation, internalizing, externalizing, and trauma-specific psychopathology. Because threat is proposed to be directly linked with socioemotional development, we hypothesized that the magnitude of associations between threat and psychopathology would be larger than those with deprivation. We conducted a search for peer-reviewed articles in English using PubMed and PsycINFO databases through August 2022. Studies that assessed both threat and deprivation and used previously validated measures of youth psychopathology were included. One hundred and twenty-seven articles were included in the synthesis (N = 163,767). Results of our three-level meta-analyses indicated that adversity dimension significantly moderated the associations between adversity and psychopathology, such that the magnitude of effects for threat (r's = .21-26) were consistently larger than those for deprivation (r's = .16-.19). These differences were more pronounced when accounting for the threat-deprivation correlation. Additional significant moderators included emotional abuse and youth self-report of adversity. Findings are consistent with the Dimensional Model of Adversity and Psychopathology, with clinical, research, and policy implications.
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Affiliation(s)
- Amy Hyoeun Lee
- Department of Psychology, Hofstra University, Hempstead, NY, USA
| | | | - Rebecca Mirhashem
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Micaela Rodriguez
- Department of Psychology, University of North Carolina, Chapel Hill, NC, USA
| | - Romola Hilerio
- Department of Psychology, Hofstra University, Hempstead, NY, USA
| | - Kristin Bernard
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
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Lurie LA, Rosen ML, Weissman DG, Machlin L, Lengua L, Sheridan MA, McLaughlin KA. Cognitive stimulation as a mechanism linking socioeconomic status and neural function supporting working memory: a longitudinal fMRI study. Cereb Cortex 2024; 34:bhad545. [PMID: 38236725 DOI: 10.1093/cercor/bhad545] [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: 12/06/2023] [Revised: 12/12/2023] [Accepted: 12/14/2023] [Indexed: 02/06/2024] Open
Abstract
Childhood experiences of low socioeconomic status are associated with alterations in neural function in the frontoparietal network and ventral visual stream, which may drive differences in working memory. However, the specific features of low socioeconomic status environments that contribute to these disparities remain poorly understood. Here, we examined experiences of cognitive deprivation (i.e. decreased variety and complexity of experience), as opposed to experiences of threat (i.e. violence exposure), as a potential mechanism through which family income contributes to alterations in neural activation during working memory. As part of a longitudinal study, 148 youth between aged 10 and 13 years completed a visuospatial working memory fMRI task. Early childhood low income, chronicity of low income in early childhood, and current income-to-needs were associated with task-related activation in the ventral visual stream and frontoparietal network. The association of family income with decreased activation in the lateral occipital cortex and intraparietal sulcus during working memory was mediated by experiences of cognitive deprivation. Surprisingly, however, family income and deprivation were not significantly related to working memory performance, and only deprivation was associated with academic achievement in this sample. Taken together, these findings suggest that early life low income and associated cognitive deprivation are important factors in neural function supporting working memory.
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Affiliation(s)
- Lucy A Lurie
- Department of Psychology and Neuroscience, University of North Carolina, 235 E. Cameron Avenue, Chapel Hill, NC 27514, United States
| | - Maya L Rosen
- Program in Neuroscience, Smith College, 44 College Lane, Northampton, MA 01073, United States
- Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138, United States
| | - David G Weissman
- Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138, United States
| | - Laura Machlin
- Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138, United States
| | - Lilliana Lengua
- Department of Psychology, University of Washington, 3921 W. Stevens Way, Seattle, WA 98195, United States
| | - Margaret A Sheridan
- Department of Psychology and Neuroscience, University of North Carolina, 235 E. Cameron Avenue, Chapel Hill, NC 27514, United States
| | - Katie A McLaughlin
- Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138, United States
- The Ballmer Institute for Children's Behavioral Health, University of Oregon, 2800 NE Liberty Street, Portland, OR 97211, United States
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Lin L, Cao B, Chen W, Li J, Zhang Y, Guo VY. Association of childhood threat and deprivation with depressive symptoms and the moderating role of current economic status among middle-aged and older adults in China. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1227-1236. [PMID: 36418644 DOI: 10.1007/s00127-022-02384-x] [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] [Received: 06/28/2022] [Accepted: 11/14/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE To investigate the independent impact of threat-related and deprivation-related adverse childhood experiences (ACEs) on depressive symptoms among middle-aged and older adults, and to evaluate the moderating role of current economic status in these associations. METHODS This cross-sectional study included 11,048 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study. We captured five threat-related ACEs and five deprivation-related ACEs by questionnaires. Depressive symptoms were assessed using the 10-item Centre for Epidemiological Studies Depression Scale. Current economic status was reflected by annual per capita household consumption expenditure. We performed logistic regression analyses to evaluate the independent association of childhood threat and deprivation with depressive symptoms, and conducted stratified analyses and tests for interaction to explore the moderation effect of current economic status in such associations. RESULTS Compared with the nonexposed group, the experience of both childhood threat and deprivation were independently associated with greater risks of depressive symptoms later in life (odds ratio [OR] 1.75, 95% CI 1.49-2.05 for ≥ 2 threat-related ACEs; OR 2.02, 95% CI 1.67-2.43 for ≥ 2 deprivation-related ACEs). High current economic status significantly ameliorated the impact of childhood deprivation, but not threat, on depressive symptoms (P value for interaction 0.038). CONCLUSIONS Both threat-related and deprivation-related ACEs were associated with the risk of depressive symptoms among middle-aged and older adults, while current economic status was a significant moderator in such risks only for childhood deprivation. The findings implied that prioritising targeted interventions for individuals with ACEs, especially for childhood deprivation victims who were economically disadvantaged in adulthood, may help mitigate depressive symptoms in later life.
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Affiliation(s)
- Li Lin
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Bing Cao
- Department of Neurosurgery, Wu Tsai Neuroscience Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Jinghua Li
- Department of Biostatistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yuying Zhang
- Department of Child Healthcare, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Vivian Yawei Guo
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China.
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