1
|
Agarwal SM, Dissanayake J, Agid O, Bowie C, Brierley N, Chintoh A, De Luca V, Diaconescu A, Gerretsen P, Graff-Guerrero A, Hawco C, Herman Y, Hill S, Hum K, Husain MO, Kennedy JL, Kiang M, Kidd S, Kozloff N, Maslej M, Mueller DJ, Naeem F, Neufeld N, Remington G, Rotenberg M, Selby P, Siddiqui I, Szacun-Shimizu K, Tiwari AK, Thirunavukkarasu S, Wang W, Yu J, Zai CC, Zipursky R, Hahn M, Foussias G. Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol. PLoS One 2023; 18:e0288354. [PMID: 37733693 PMCID: PMC10513234 DOI: 10.1371/journal.pone.0288354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 06/23/2023] [Indexed: 09/23/2023] Open
Abstract
Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual's functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs.
Collapse
Affiliation(s)
- Sri Mahavir Agarwal
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
- Temerty Faculty Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada
| | - Joel Dissanayake
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ofer Agid
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Christopher Bowie
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Noah Brierley
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Araba Chintoh
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Vincenzo De Luca
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Andreea Diaconescu
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Philip Gerretsen
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ariel Graff-Guerrero
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Colin Hawco
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Yarissa Herman
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Sean Hill
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Kathryn Hum
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Muhammad Omair Husain
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - James L. Kennedy
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Michael Kiang
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Sean Kidd
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Nicole Kozloff
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Marta Maslej
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Daniel J. Mueller
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Farooq Naeem
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Nicholas Neufeld
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Gary Remington
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Martin Rotenberg
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Peter Selby
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ishraq Siddiqui
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Kate Szacun-Shimizu
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Arun K. Tiwari
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | | | - Wei Wang
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Joanna Yu
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Clement C. Zai
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Robert Zipursky
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Margaret Hahn
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
- Temerty Faculty Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada
| | - George Foussias
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
- Temerty Faculty Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
| |
Collapse
|
2
|
Zhornitsky S, Le TM, Dhingra I, Adkinson BD, Potvin S, Li CR. Interpersonal Risk Factors for Suicide in Cocaine Dependence: Association with Self-Esteem, Personality Traits, and Childhood Abuse. Suicide Life Threat Behav 2020; 50:867-883. [PMID: 32030810 PMCID: PMC7518050 DOI: 10.1111/sltb.12621] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 01/10/2020] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Studies have linked cocaine dependence to suicidality. According to the Interpersonal Theory of Suicide, suicidal behavior becomes likely with the simultaneous presence of perceived burdensomeness (PB), lack of (or thwarted) belongingness (TB), and acquired fearlessness about death (FAD). Here, we examined personality and other variables, including depression, self-esteem, childhood abuse, and substance use, as predictors of these risk factors in cocaine-dependent individuals (CDs). METHODS Seventy CDs and 70 healthy controls (HCs) participated. We examined group differences in a group-by-sex analysis of variance and identified predictors of PB, TB, and FAD in stepwise regressions. RESULTS CDs exhibited elevated PB and TB but not FAD, compared to HCs. CDs also exhibited elevated harm avoidance, novelty seeking, depression, and lower self-esteem and reward dependence. Females reported elevated sexual abuse, harm avoidance, reward dependence, depression, but lower FAD, relative to males, among CDs and HCs. Among CDs, PB was predicted by lower self-esteem and greater emotional abuse; TB was predicted by lower self-esteem and reward dependence, as well as greater emotional and sexual abuse; and FAD was predicted by lower harm avoidance and greater physical abuse. CONCLUSIONS Interventions targeting suicidality in cocaine dependence should take into consideration self-esteem, personality traits, and childhood abuse.
Collapse
Affiliation(s)
- Simon Zhornitsky
- Department of Psychiatry Yale University School of Medicine New Haven Connecticut
| | - Thang M. Le
- Department of Psychiatry Yale University School of Medicine New Haven Connecticut
| | - Isha Dhingra
- Department of Psychiatry Yale University School of Medicine New Haven Connecticut
| | - Brendan D. Adkinson
- Interdepartmental Neuroscience Program Yale University School of Medicine New Haven Connecticut
| | - Stephane Potvin
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal Montreal QC Canada
- Department of Psychiatry Faculty of Medicine Université de Montréal Montréal QC Canada
| | - Chiang‐shan R. Li
- Department of Psychiatry Yale University School of Medicine New Haven Connecticut
- Interdepartmental Neuroscience Program Yale University School of Medicine New Haven Connecticut
- Department of Neuroscience Yale University School of Medicine New Haven Connecticut
| |
Collapse
|
4
|
Tan BL, Ng WY, Sudhasan J, Chng T, Mok I, Lee J. Factors Associated with Changes in Community Ability and Recovery After Psychiatric Rehabilitation: A Retrospective Study. Community Ment Health J 2018; 54:1221-1227. [PMID: 29480381 DOI: 10.1007/s10597-018-0249-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 02/11/2018] [Indexed: 10/17/2022]
Abstract
One of the key goals of psychiatric rehabilitation is to return individuals with mental illnesses back into the community via restoration of the necessary skills. This retrospective study seeks to evaluate the factors associated with improvement in community functioning after a period of outpatient rehabilitation. 223 individuals enrolled into three broad rehabilitation groups-clinical, vocational and creative therapies/individual sessions-were included in this study. The Multnomah Community Ability Scale (MCAS) and Milestones of Recovery Scale (MORS) were used to evaluate each individual before and after the rehabilitation programme. Across all three groups, there were significant improvements in MCAS scores and MORS ratings. In multivariate models, clinical rehabilitation group was superior to creative therapies/individual sessions in predicting MORS change. The study also revealed a close relationship between recovery gains and improvement in community ability.
Collapse
Affiliation(s)
- Bhing-Leet Tan
- Institute of Mental Health, 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore. .,Singapore Institute of Technology, 10 Dover Drive, Singapore, 138683, Singapore.
| | - Wai-Yee Ng
- Institute of Mental Health, 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore
| | - Jayson Sudhasan
- Institute of Mental Health, 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore
| | - Thomas Chng
- Institute of Mental Health, 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore
| | - Irene Mok
- Institute of Mental Health, 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore
| | - Jimmy Lee
- Institute of Mental Health, 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore
| |
Collapse
|
5
|
Rujkorakarn D, Buatee S, Jundeekrayom S, Mills AC. Living with schizophrenia in rural communities in north-east Thailand. Int J Ment Health Nurs 2018; 27:1481-1489. [PMID: 29484809 DOI: 10.1111/inm.12448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/23/2018] [Indexed: 11/29/2022]
Abstract
In the rural villages of Thailand, rich social support networks exist that bond the community members to help each other. This study explored the barriers and facilitators of living with schizophrenia in Thai villages. A descriptive qualitative study was conducted using semi-structured interviews with individuals with schizophrenia, family members, and significant others. Content analysis of transcripts involved examining the data, recording observations, data reduction, and coding themes. Four main themes emerged from the narratives: (i) keep doing day-to-day activities as a way of life; (ii) support sustains day-to-day living; (iii) controlling medication side effects maintains daily living; and (iv) managing self maintains daily living. Self-regulation and social support are keys to moving from dependence to a normative life goal in rural communities. The patterns of living in the rural communities provide a strong social network as people with schizophrenia learn to lead successful lives. Using supportive families and community members as resources is an alternative and effective way of providing supportive care.
Collapse
Affiliation(s)
- Darunee Rujkorakarn
- Faculty of Nursing, Mahasarakham University, Mahasarakham Province, Thailand
| | - Supatra Buatee
- Faculty of Nursing, Mahasarakham University, Mahasarakham Province, Thailand
| | - Surada Jundeekrayom
- Faculty of Nursing, Mahasarakham University, Mahasarakham Province, Thailand
| | | |
Collapse
|
6
|
Blum LH, Vakhrusheva J, Saperstein A, Khan S, Chang RW, Hansen MC, Zemon V, Kimhy D. Depressed mood in individuals with schizophrenia: A comparison of retrospective and real-time measures. Psychiatry Res 2015; 227:318-23. [PMID: 25895490 PMCID: PMC4430399 DOI: 10.1016/j.psychres.2015.03.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2013] [Revised: 02/27/2015] [Accepted: 03/08/2015] [Indexed: 10/23/2022]
Abstract
Depressed mood is prevalent among individuals with schizophrenia, leading to difficulties in functioning. Typically, depressed mood is evaluated using retrospective assessments during which individuals are asked to recall their mood during the past week or month. However, as individuals with schizophrenia may display memory difficulties, the results of such assessments may be biased, potentially leading to inaccurate clinical characterizations and/or suboptimal treatment. Our aim was to assess the potential impact of long-term memory on depressed mood in individuals with schizophrenia. Employing an Experience Sampling Method (ESM) approach, 51 individuals with schizophrenia and 22 healthy controls rated their momentary emotions up to 10 times/day over a two-day period, along with retrospective measures of depressed mood, long-term memory, quality of life, social functioning, and symptoms. ESM assessment of real-time depressed mood demonstrated discriminant and convergent validity. Among the schizophrenia group, there was a significant correlation between the real-time and retrospective measures of depressed mood. However, once variance due to long-term memory was controlled, the relationship between the real-time and retrospective measure was no longer significant. The findings suggest that a real-time measure of depressed mood may allow overcoming some of the limitations associated with long-term memory difficulties common among individuals with schizophrenia.
Collapse
Affiliation(s)
- Lisa H. Blum
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA,Corresponding author at: Lisa Blum, Ph.D., c/o David Kimhy, Ph.D., Division of Cognitive Neuroscience, Department of Psychiatry, Unit #55, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA. Tel.: 212 543 6817; fax: 212 543 6176.
| | | | - Alice Saperstein
- Department of Psychiatry, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Samira Khan
- New York State Psychiatric Institute, New York, NY, USA
| | | | | | - Vance Zemon
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA
| | - David Kimhy
- Department of Psychiatry, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| |
Collapse
|