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Hakami MC, Poursharifi H, Dolatshahee B, Seddigh SH. Designing and determining the effectiveness of a suicide intervention package for psychologists working in the primary health care system. J Family Med Prim Care 2023; 12:917-924. [PMID: 37448923 PMCID: PMC10336939 DOI: 10.4103/jfmpc.jfmpc_1187_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/23/2022] [Accepted: 10/10/2022] [Indexed: 07/18/2023] Open
Abstract
Aims Suicide is a major public health problem around the world. The present study aimed to design and determine the effectiveness of a suicide intervention package for psychologists working in the primary health care system in Hormozgan Province. Materials and Methods This study was conducted in two phases: qualitative and quantitative phases. In the qualitative phase, it was a thematic analysis type, and in the quantitative phase, it was quasi-experimental type with pretest-posttest in two groups of intervention and comparison. To standardize the suicide intervention package, Delphi method was used, and for quantitative content validity, content validity index (CVI) and content validity ratio (CVR) were used. In the quantitative phase of the study, the statistical population of the study included 270 people who had suicidal ideations and had no history of suicide attempt. Among them, 135 people were included in the intervention group and 135 people were included in the comparison group using a convenience sampling method. They were selected among those referred to eight comprehensive rural and urban health service centers in eight cities of Hormozgan Province. The results were analyzed by MANCOVA statistical test. Results CVR was more than 0.75 and CVI was more than 0.87. In the quantitative phase, the results showed a significant difference between the means before and after the intervention for the variables of psychological distress, suicidal ideation, and hopelessness (P < 0.01). Conclusion It seems that psychological suicide preventive interventions in the primary health care system are effective in reducing psychological distress,suicidal thoughts and hopelessness.
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Affiliation(s)
- Mousa Chakeri Hakami
- Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences. Tehran, Iran
| | - Hamid Poursharifi
- Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Koodakyar Street, Daneshjoo Blvd, Evin, Tehran, Iran
| | - Behrouz Dolatshahee
- Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences Tehran, Iran
| | - Seyed Hamzeh Seddigh
- Department of Psychiatry, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
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Risk of conversion to bipolar disorder in patients with late-onset major depression. Int Clin Psychopharmacol 2022; 37:234-241. [PMID: 35916593 DOI: 10.1097/yic.0000000000000421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
To evaluate the impact of age at onset on late-life depression course and on risk of conversion to bipolar disorder (BD). A retrospective chart review of 100 elderly patients (age ≥ 65 years) diagnosed with a moderate-to-severe depressive episode and followed up for at least 18 months was conducted. Among patients affected by major depressive disorder ( N = 57), follow-up morbidity differences between those with typical onset depression (TOD) (<60 years) and those with late-onset depression (LOD) (≥60 years) were investigated using Wilcoxon rank-sum test and Cox proportional hazard model. Patients belonging to the LOD group had a significantly lower percentage of follow-up time spent with depressive symptoms compared with patients with TOD ( r = 0.36; P = 0.006), but significantly more time spent with (hypo)manic episodes ( r = -0.31; P = 0.021). Moreover, LOD was significantly associated with a faster conversion to BD (hazard ratio = 3.05; P = 0.037). Depression first emerging in late life may represent an unstable condition with a high risk to convert to BD. Given the potential clinical implications, further studies on the course of LOD are required.
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Durdurak BB, Altaweel N, Upthegrove R, Marwaha S. Understanding the development of bipolar disorder and borderline personality disorder in young people: a meta-review of systematic reviews. Psychol Med 2022; 52:1-14. [PMID: 36177878 PMCID: PMC9816307 DOI: 10.1017/s0033291722003002] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 08/31/2022] [Accepted: 09/06/2022] [Indexed: 01/21/2023]
Abstract
BACKGROUND There is ongoing debate on the nosological position of bipolar disorder (BD) and borderline personality disorder (BPD). Identifying the unique and shared risks, developmental pathways, and symptoms in emerging BD and BPD could help the field refine aetiological hypotheses and improve the prediction of the onset of these disorders. This study aimed to: (a) systematically synthesise the available evidence from systematic reviews (SRs) and meta-analyses (MAs) concerning environmental, psychosocial, biological, and clinical factors leading to the emergence of BD and BPD; (b) identify the main differences and common features between the two disorders to characterise their complex interplay and, (c) highlight remaining evidence gaps. METHODS Data sources were; PubMed, PsychINFO, Embase, Cochrane, CINAHL, Medline, ISI Web of Science. Overlap of included SRs/MAs was assessed using the corrected covered area process. The methodological quality of each included SR and MA was assessed using the AMSTAR. RESULTS 22 SRs and MAs involving 249 prospective studies met eligibility criteria. Results demonstrated that family history of psychopathology, affective instability, attention deficit hyperactivity disorder, anxiety disorders, depression, sleep disturbances, substance abuse, psychotic symptoms, suicidality, childhood adversity and temperament were common predisposing factors across both disorders. There are also distinct factors specific to emerging BD or BPD. CONCLUSIONS Prospective studies are required to increase our understanding of the development of BD and BPD onset and their complex interplay by concurrently examining multiple measures in BD and BPD at-risk populations.
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Affiliation(s)
- Buse Beril Durdurak
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Nada Altaweel
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Rachel Upthegrove
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Early Intervention Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Steven Marwaha
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Specialist Mood Disorders Clinic, Birmingham and Solihull Mental Health NHS Foundation Trust, Birmingham, UK
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Xu Z, Chen L, Hu Y, Shen T, Chen Z, Tan T, Gao C, Chen S, Chen W, Chen B, Yuan Y, Zhang Z. A Predictive Model of Risk Factors for Conversion From Major Depressive Disorder to Bipolar Disorder Based on Clinical Characteristics and Circadian Rhythm Gene Polymorphisms. Front Psychiatry 2022; 13:843400. [PMID: 35898634 PMCID: PMC9309512 DOI: 10.3389/fpsyt.2022.843400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 06/08/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is easy to be misdiagnosed as major depressive disorder (MDD), which may contribute to a delay in treatment and affect prognosis. Circadian rhythm dysfunction is significantly associated with conversion from MDD to BD. So far, there has been no study that has revealed a relationship between circadian rhythm gene polymorphism and MDD-to-BD conversion. Furthermore, the prediction of MDD-to-BD conversion has not been made by integrating multidimensional data. The study combined clinical and genetic factors to establish a predictive model through machine learning (ML) for MDD-to-BD conversion. METHOD By following up for 5 years, 70 patients with MDD and 68 patients with BD were included in this study at last. Single nucleotide polymorphisms (SNPs) of the circadian rhythm genes were selected for detection. The R software was used to operate feature screening and establish a predictive model. The predictive model was established by logistic regression, which was performed by four evaluation methods. RESULTS It was found that age of onset was a risk factor for MDD-to-BD conversion. The younger the age of onset, the higher the risk of BD. Furthermore, suicide attempts and the number of hospitalizations were associated with MDD-to-BD conversion. Eleven circadian rhythm gene polymorphisms were associated with MDD-to-BD conversion by feature screening. These factors were used to establish two models, and 4 evaluation methods proved that the model with clinical characteristics and SNPs had the better predictive ability. CONCLUSION The risk factors for MDD-to-BD conversion have been found, and a predictive model has been established, with a specific guiding significance for clinical diagnosis.
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Affiliation(s)
- Zhi Xu
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Lei Chen
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Yunyun Hu
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Institute of Life Sciences, Southeast University, Nanjing, China
| | - Tian Shen
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Zimu Chen
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Tingting Tan
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Chenjie Gao
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Suzhen Chen
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Wenji Chen
- Department of General Practice, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Bingwei Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.,Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Institute of Life Sciences, Southeast University, Nanjing, China
| | - Zhijun Zhang
- Department of Neurology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
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Risk factors for new-onset bipolar disorder in a community cohort: A five-year follow up study. Psychiatry Res 2021; 303:114109. [PMID: 34284307 DOI: 10.1016/j.psychres.2021.114109] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 07/06/2021] [Accepted: 07/10/2021] [Indexed: 12/15/2022]
Abstract
The aim of this study was to assess the risk factors for new-onset Bipolar Disorder (BD) in a community sample of young adults. This is a prospective cohort study including a population-based sample of young adults aged between 18-24 years. The baseline took place from 2007 to 2009, and 1560 subjects were included. Five years after, 1244 individuals were re-evaluated (79.7% retention). Substance abuse/dependence was assessed using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), and mental disorders were assessed using the Mini International Neuropsychiatric Interview 5.0 (MINI) at both waves. The cumulative incidence of BD in five years was 4.6%. There was no significant association between sociodemographic factors and BD incidence. Tobacco, cannabis, cocaine/crack, other substances abuse/dependence increased the relative risk for BD. Depressive, anxiety, post-traumatic stress disorders, and the suicide risk increased the relative risk to BD. Depressive episode was the strongest risk factor for BD, followed by other mental disorders and substance abuse/dependence in a probabilistic community sample of young adults. Preventive actions in mental health directed at the non-clinical population are needed for early detection and better management of BD.
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Factors associated with single versus multiple suicide attempts in depressive disorders. J Affect Disord 2020; 277:306-312. [PMID: 32858311 DOI: 10.1016/j.jad.2020.08.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 06/12/2020] [Accepted: 08/09/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Many risk factors for suicidal behavior have been identified. Much less has been done to associate risk factors with recurrence of suicidal behavior. METHODS We compared prevalence of 30 potential risk factors among 8496 depressive patient-subjects from the BRIDGE consortium with no (NSA, n = 6267), one (1SA, n = 1123), or repeated (≥2) suicide attempts (RSA, n = 1106). RESULTS Prevalence of most factors ranked: RSA ≥ 1SA > NSA, with a notable opposite trend for the diagnosis of type II bipolar disorder (BD). Factors independently and significantly more present among RSA than 1SA subjects were: borderline personality, substance abuse, mood-switching with antidepressant treatment, female sex, and unsatisfactory response to antidepressant treatment. There also were notably strong associations of RSA with type I or probable BD and associated factors, including family history of BD, young onset, mixed and psychotic features. LIMITATIONS Potential effects of treatment on risk of suicidal acts could not be evaluated adequately, as well as associations between levels of suicidal behavior and eventual death by suicide. CONCLUSIONS In a large cohort of depressive patients, there were significant associations not only with suicidal behavior generally, but also with the intensity of suicide attempts.
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Kim EY, Kim NW, Kim MJ, Yang BR, Rhee SJ, Park CHK, Lee HJ, Kim SH, Ahn YM. Rate of diagnostic conversion to bipolar disorder in adults with unipolar depression and psychopharmacological treatment in the republic of Korea: A nationwide register-based study. J Affect Disord 2020; 273:240-246. [PMID: 32421610 DOI: 10.1016/j.jad.2020.03.159] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 02/17/2020] [Accepted: 03/29/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Patients with bipolar disorder (BD) and depressive episodes are usually diagnosed with major depressive disorder (MDD). It is clinically important to estimate diagnostic conversion rate from MDD to BD and identify factors characterizing MDD patients at highest risk. We investigated conversion rate from depression to BD, stratified by age and sex, and associated psychopharmacological treatment patterns. METHODS Data were extracted from the National Health Insurance to include 817,759 patients 18 years or older with new-onset antidepressant-treated depression between 2011 and 2015. We estimated rate of conversion from unipolar depression to BD stratified by age and sex during follow-up (357,343 person-years) and investigated the related medication patterns. RESULTS During follow-up (median, 155 days; range, 2-1,442 days), 19,179 patients had diagnostic conversion to BD. Conversion rate was highest for patients aged 18-29 years; it gradually decreased with age until 60-69 years. Overall conversion rate to BD was 58.48 per 1,000 person-years for males and 50.97 per 1,000 person-years for females. For patients aged 18-39 years, the rate was higher for females. Patients with conversion to BD were prescribed more antidepressants. When the diagnosis changed to BD, 51% of patients were prescribed additional antipsychotics and/or mood stabilizers. LIMITATIONS The limited follow-up period may have underestimated conversion rate to BD. Data were restricted to participants with pharmaceutically treated depression. CONCLUSIONS The rate of diagnostic conversion from depression to BD differed by sex and age and was highest for females aged 18-29 years. Diagnostic conversion was accompanied by relevant prescription changes.
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Affiliation(s)
- Eun Young Kim
- Mental Health Center, Seoul National University Health Care Center, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea; Department of Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Nam Woo Kim
- Department of Neuropsychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Min Ji Kim
- Department of Neuropsychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Bo Ram Yang
- Medical Research Collaborating Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Sang Jin Rhee
- Department of Neuropsychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - C Hyung Keun Park
- Department of Neuropsychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Department of Psychiatry, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea
| | - Hyun Jeong Lee
- Mental Health Clinic, National Cancer Center, Ilsandong-gu, Goyang-si, Gyeonggi-do 10326, Republic of Korea; Cancer Survivorship Branch, National Cancer Control Institute, National Cancer Center, Ilsandong-gu, Goyang-si, Gyeonggi-do 10326, Republic of Korea
| | - Se Hyun Kim
- Department of Neuropsychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Yong Min Ahn
- Department of Neuropsychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Department of Psychiatry and Behavioral Science, Institute of Human Behavioral Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.
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