1
|
Tian Y, Yang C, Liu L, Zhao X, Fan H, Xia L, Liu H. The associations of psychopathology and metabolic parameters with serum bilirubin levels in patients with acute-episode and drug-free schizophrenia: a 5-year retrospective study using an electronic medical record system. BMC Psychiatry 2024; 24:403. [PMID: 38811905 PMCID: PMC11138041 DOI: 10.1186/s12888-024-05862-5] [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: 10/20/2023] [Accepted: 05/23/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND The oxidative system plays an important role in the pathogenesis of schizophrenia. Inconsistent associations were found between hyperbilirubinemia and psychopathology as well as glycolipid metabolism in patients with schizophrenia at different episodes. This current study aimed to examine these associations in patients with acute-episode and drug-free (AEDF) schizophrenia. METHODS This is a retrospective study using 5 years of data from May 2017 to May 2022 extracted from the electronic medical record system of Chaohu Hospital of Anhui Medical University. Healthy controls (HCs) from the local medical screening center during the same period were also included. Participants' data of the bilirubin levels [total bilirubin (TB), conjugated bilirubin (CB), unconjugated bilirubin (UCB)], glycolipid metabolic parameters and the score of the Brief Psychiatric Rating Scale (BPRS) were collected. RESULTS A total of 1468 case records were identified through the initial search. After screening, 89 AEDF patients and 100 HCs were included. Compared with HCs, patients had a higher CB level, and lower levels of glycolipid metabolic parameters excluding high density lipoprotein-cholesterol (HDL-C) (all P < 0.001). Binary logistic regression analyses revealed that high bilirubin levels in the patients were independently associated with higher total and resistance subscale scores of BPRS, a higher HDL-C level, and lower total cholesterol and triglyceride levels (all P < 0.05). CONCLUSION Bilirubin levels are elevated in patients with AEDF schizophrenia. Patients with high bilirubin levels have more severe psychopathology and relatively optimized glycolipid metabolism. In clinical practice, regular monitoring of bilirubin levels in this patient population should be carried out.
Collapse
Affiliation(s)
- Yinghan Tian
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Cheng Yang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Lewei Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Xin Zhao
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Haojie Fan
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Lei Xia
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China.
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China.
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China.
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China.
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China.
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Anhui Medical University, Hefei, Anhui Province, P. R. China.
| |
Collapse
|
2
|
Khosravani V, Sharifibastan F, Aghaeimazraji M, Berk M, Samimi Ardestani SM. The contribution of alexithymia, childhood maltreatment, impulsivity, C-reactive protein, lipid profile, and thyroid hormones to aggression and psychological distress (depression and anxiety) in schizophrenia. Psychoneuroendocrinology 2024; 167:107087. [PMID: 38820716 DOI: 10.1016/j.psyneuen.2024.107087] [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] [Received: 03/03/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 06/02/2024]
Abstract
There are individual effects of alexithymia, childhood maltreatment, impulsivity, and some biological markers on aggression and psychological distress in schizophrenia. However, the combined effects of these psychological and biological markers have not yet been fully studied. This study therefore aimed to investigate the influence of these psychological and biological markers on aggression and psychological distress (e.g., depression and anxiety) in inpatients with schizophrenia (n = 355). Participants completed self-report and clinician-rated scales, and blood samples were collected. There were no significant differences between patients with and without alexithymia regarding biological markers. Patients with childhood maltreatment exhibited higher levels of free triiodothyronine (FT3) and C-reactive protein (CRP), as well as lower total cholesterol (TC) levels, compared to non-traumatized individuals. Aggression was positively predicted by psychological distress, alexithymia, childhood maltreatment, impulsivity, CRP, and FT3, and negatively by TC and low-density lipoprotein cholesterol. Negative symptoms, childhood maltreatment, alexithymia, aggression, and CRP positively, and high-density lipoprotein cholesterol negatively emerged as predictors of psychological distress. The study highlights the connections between childhood maltreatment, alexithymia, impulsivity, and potentially related biological dysregulation in explaining aggression and negative mood states as a bio-psychological model of aggression and mood in schizophrenia.
Collapse
Affiliation(s)
- Vahid Khosravani
- Behavioral Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Farangis Sharifibastan
- Behavioral Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Psychosocial Science, University of Bergen, Norway
| | - Morteza Aghaeimazraji
- Department of Clinical Psychology, Faculty of Psychology and Educational Sciences, Semnan University, Semnan, Iran
| | - Michael Berk
- Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Victoria, Australia; University of Melbourne, Florey Institute for Neuroscience and Mental Health, Melbourne, Victoria, Australia; University of Melbourne, Department of Psychiatry, Royal Melbourne Hospital, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia; Orygen, Parkville, Victoria, Australia
| | - Seyed Mehdi Samimi Ardestani
- Department of Psychiatry, Behavioral Sciences Research Center, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
3
|
Wang J, Cheng G, Li H, Yang W. Effects of cognitive training and behavior modification on aggressive behavior and sleep quality in schizophrenia. Front Psychiatry 2024; 15:1363547. [PMID: 38779544 PMCID: PMC11109749 DOI: 10.3389/fpsyt.2024.1363547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 04/17/2024] [Indexed: 05/25/2024] Open
Abstract
Background Schizophrenia (SCZ) is linked to a heightened risk of impulsive aggression and disturbances in sleep patterns. Cognitive and social cognitive impairments have been connected to aggression, with social cognitive deficits appearing to play a more immediate role. In this investigation, we conducted a retrospective analysis of the impact of cognitive training and sleep interventions on aggressive behavior and the quality of sleep among individuals with SCZ who were hospitalized. Methods This study divided 80 hospitalized patients into two groups according to medical advice, namely the normal group and the study group. The control group received routine drug treatment and education; The research group implemented cognitive training and sleep intervention based on the normal group. Collect basic clinical data, aggressive behavior indicators, and sleep quality indicators. Results There is no difference in the basic information statistics between the two groups. Both groups can reduce aggressive behavior and improve sleep quality. In the study group, there was a notable decrease in aggressive behavior compared to the control group. Furthermore, the sleep quality in the study group exhibited significant improvement when compared to the control group. Conclusion Cognitive training and sleep intervention have been proven to be effective nonpharmacological treatments, effectively reducing aggressive behavior and improving sleep quality.
Collapse
Affiliation(s)
- Jing Wang
- Department of Early Intervention, Wuhan Mental Health Center, Wuhan, Hubei, China
| | - Gangming Cheng
- Department of Early Intervention, Wuhan Mental Health Center, Wuhan, Hubei, China
| | - Hongjie Li
- Department of Early Intervention, Wuhan Mental Health Center, Wuhan, Hubei, China
| | - Wei Yang
- Department of Mental Rehabilitation, Wuhan Mental Health Center, Wuhan, Hubei, China
| |
Collapse
|
4
|
Välimäki M, Lantta T, Kontio R. Risk assessment for aggressive behaviour in schizophrenia. Cochrane Database Syst Rev 2024; 5:CD012397. [PMID: 38695777 PMCID: PMC11064887 DOI: 10.1002/14651858.cd012397.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
BACKGROUND Aggressive or violent behaviour is often associated with people with schizophrenia in common perceptions of the disease. Risk assessment methods have been used to identify and evaluate the behaviour of those individuals who are at the greatest risk of perpetrating aggression or violence or characterise the likelihood to commit acts. Although many different interventions have been developed to decrease aggressive or violent incidences in inpatient care, staff working in inpatient settings seek easy-to-use methods to decrease patient aggressive events. However, many of these are time-consuming, and they require intensive training for staff and patient monitoring. It has also been recognised in clinical practice that if staff monitor patients' behaviour in a structured manner, the monitoring itself may result in a reduction of aggressive/violent behaviour and incidents in psychiatric settings. OBJECTIVES To assess the effects of structured aggression or violence risk assessment methods for people with schizophrenia or schizophrenia-like illnesses. SEARCH METHODS We searched the Cochrane Schizophrenia Group's Study-Based Register of Trials, which is based on CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, PubMed, ISRCTN registry, ClinicalTrials.gov, and WHO ICTRP, on 10 February 2021. We also inspected references of all identified studies. SELECTION CRITERIA We included all randomised controlled trials (RCTs) comparing structured risk assessment methods added to standard professional care with standard professional care for the evaluation of aggressive or violent behaviour among people with schizophrenia. DATA COLLECTION AND ANALYSIS At least two review authors independently inspected citations, selected studies, extracted data, and appraised study quality. For binary outcomes, we calculated a standard estimation of the risk ratio (RR) and its 95% confidence interval (CI). For continuous outcomes, we calculated the mean difference (MD) and its 95% CI. We assessed risk of bias in the included studies and created a summary of findings table using the GRADE approach. MAIN RESULTS We included four studies in the review. The total number of participants was not identifiable, as some studies provided number of participants included, and some only patient days. The studies compared a package of structured assessment methods with a control group that included routine nursing care and drug therapy or unstructured psychiatric observations/treatment based on clinical judgement. In two studies, information about treatment in control care was not available. One study reported results for our primary outcome, clinically important change in aggressive/violent behaviour, measured by the rate of severe aggression events. There was likely a positive effect favouring structured risk assessment over standard professional care (RR 0.59, 95% CI 0.41 to 0.85; 1 RCT; 1852 participants; corrected for cluster design: RR 0.59, 95% CI 0.37 to 0.93; moderate-certainty evidence). One trial reported data for the use of coercive measures (seclusion room). Compared to standard professional care, structured risk assessment may have little or no effect on use of seclusion room as days (corrected for cluster design: RR 0.92, 95% CI 0.27 to 3.07; N = 20; low-certainty evidence) or use of seclusion room as secluded participants (RR 1.83, 95% CI 0.39 to 8.7; 1 RCT; N = 20; low-certainty evidence). However, seclusion room may be used less frequently in the standard professional care group compared to the structured risk assessment group (incidence) (corrected for cluster design: RR 1.63, 95% CI 0.49 to 5.47; 1 RCT; N = 20; substantial heterogeneity, Chi2 = 0.0; df = 0.0; P = 0.0; I2 = 100%; low-certainty evidence). There was no evidence of a clear effect on adverse events of escape (RR 0.2, 95% CI 0.01 to 4.11; 1 RCT; n = 200; very low-certainty evidence); fall down (RR 0.33, 95% CI 0.04 to 3.15; 1 RCT; n = 200; very low-certainty evidence); or choking (RR 0.2, 95% CI 0.01 to 4.11; 1 RCT; n = 200; very low-certainty evidence) when comparing structured risk assessment to standard professional care. There were no useable data for patient-related outcomes such as global state, acceptance of treatment, satisfaction with treatment, quality of life, service use, or costs. AUTHORS' CONCLUSIONS Based on the available evidence, it is not possible to conclude that structured aggression or violence risk assessment methods are effective for people with schizophrenia or schizophrenia-like illnesses. Future work should combine the use of interventions and structured risk assessment methods to prevent aggressive incidents in psychiatric inpatient settings.
Collapse
Affiliation(s)
- Maritta Välimäki
- School of Public Health, University of Helsinki, Helsinki, Finland
| | - Tella Lantta
- Department of Nursing Science, University of Turku, Turku, Finland
| | - Raija Kontio
- Department of Nursing Science, University of Turku, Turku, Finland
| |
Collapse
|
5
|
Zhou R, Ye M, OuYang X, Zhang S, Zheng S, Wang R, Cao P, Yang K, Zhou X. Insomnia and aggression in stable schizophrenic patients: The mediating role of quality of life. Schizophr Res 2024; 267:122-129. [PMID: 38531159 DOI: 10.1016/j.schres.2024.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 02/24/2024] [Accepted: 03/17/2024] [Indexed: 03/28/2024]
Abstract
Aggression in schizophrenia patients is an issue of concern. Previous studies have shown that aggression in schizophrenia patients may be related to insomnia and quality of life to different extents. This study aimed to explore the potential mediating role of quality of life in the relationship between aggression and insomnia among schizophrenia patients. Demographic factors affecting aggression in schizophrenia patients were also explored. PATIENTS AND METHODS A total of 781 stable patients aged 18-75 who met the ICD10 diagnosis of "schizophrenia" completed the completed questionnaire. Aggression was assessed using the Modified Overt Aggression Scale (MOAS), sleep was assessed using the Insomnia Severity Index Scale (ISI), and quality of life was assessed using the five Likert options. Descriptive statistics and correlation analysis examined the correlation between aggression and other variables. The mediating role of quality of life in the association between insomnia and aggression was examined by pathway analysis. RESULTS A total of 781 patients participated in this study, and approximately 16 % of the schizophrenia patients were aggressive. According to the mediation analysis, the direct effect of insomnia on aggression was 0.147, and the mediating effect of quality of life on insomnia and aggression was 0.021. Specifically, for the four dimensions of the MOAS, the direct effects of insomnia on verbal aggression, aggression toward property, and aggression toward oneself were 0.028, 0.032, and 0.023, respectively, with mediating effects of 0.003, 0.007, and 0.006, respectively, and no mediating effect on physical aggression was found. CONCLUSION This study showed that insomnia significantly influenced aggression in schizophrenia patients. Quality of life significantly mediated insomnia and aggression and played a vital role in moderating aggression. Therefore, we suggest that in the future, improving aggression in schizophrenia patients, while paying attention to the importance of sleep, could start with improving quality of life to address this problem from multiple perspectives.
Collapse
Affiliation(s)
- Ruochen Zhou
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China; Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - Mengting Ye
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China; Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - Xu OuYang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - ShaoFei Zhang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - SiYuan Zheng
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China; Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - Ruoqi Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China; Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - Panpan Cao
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China; Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - Kefei Yang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China; Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China; Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei City, People's Republic of China
| | - Xiaoqin Zhou
- Department of Psychology and Sleep Medicine, the Second Affiliated Hospital of Anhui Medical University, Hefei City, People's Republic of China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People's Republic of China.
| |
Collapse
|
6
|
Kilic-Demir B, Kizilpinar SC, Polat S. The violence profile of male mentally disordered offenders in a high secure unit in Turkiye. INTERNATIONAL JOURNAL OF LAW AND PSYCHIATRY 2024; 94:101983. [PMID: 38537541 DOI: 10.1016/j.ijlp.2024.101983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 02/13/2024] [Accepted: 03/15/2024] [Indexed: 06/15/2024]
Abstract
Our knowledge of the severity and reoffending is limited for mentally disordered offenders, and studies generally evaluate without separation between different diagnostic groups. It was aimed to determine the general profile of mentally disordered offenders who are inpatients in a high secure psychiatry unit from Turkiye and to evaluate the factors associated with violence profiles among different diagnostic groups. According to the results the schizophrenia patients committed the most severe crimes, and intellectual disability patients had some different features from schizophrenia and bipolar disorder patients. History of substance misuse in the intellectual disability group (p = 0,045) and comorbid antisocial personality disorder in the bipolar disorder group (p = 0,015) were associated with increased crime severity. Substance misuse history, history of substance use during the crime, and the existence of comorbid antisocial personality disorder were associated with increased offenses in each of the three diagnosis groups. Living alone (p = 0,004) and having a suicide history (p= 0,052) were associated with the high number of offenses in the schizophrenia group. This study is the first study that compares three diagnostic groups to involve a large patient group. We believe that clinicians must evaluate these parameters for the violence risk assessment of patients.
Collapse
Affiliation(s)
- Baris Kilic-Demir
- Department of Psychiatry, Adana City Research and Training Hospital, Adana, Turkiye
| | | | - Selim Polat
- Department of Psychiatry, Adana City Research and Training Hospital, Adana, Turkiye
| |
Collapse
|
7
|
Zhang S, Ouyang X, Yang K, Shen Y, Zheng S, Wang R, Sheng X, Ge M, Yang M, Zhou X. An Exploration of Depression and Aggression Among Patients with Schizophrenia in China Rural Community. Psychol Res Behav Manag 2024; 17:1717-1726. [PMID: 38660458 PMCID: PMC11041961 DOI: 10.2147/prbm.s453891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/21/2024] [Indexed: 04/26/2024] Open
Abstract
Purpose In schizophrenia, aggressive conduct is frequent. And depressed mood can also contribute to the occurrence of aggressive behaviors. The aim of this study was to investigate the risk factors for the occurrence of aggression in stable schizophrenia patients in rural China, mainly to investigate the role of depressed mood in the occurrence of aggression in schizophrenia patients. Patients and Methods This is a cross-sectional study conducted in the townships surrounding Chaohu City, Anhui Province, China. Patients' depressive mood was evaluated using the PHQ-9 (The 9-item Patient Health Questionnaire). Patients' aggressiveness was evaluated using the Modified Overt Aggression Scale (MOAS). A score of ≥4 was used as a threshold and divided into aggressive and non-aggressive groups. Results This study comprised a total of 821 schizophrenia patients. Among them, the prevalence of having aggressive behavior was 18.8%. After correcting for confounders, logistic regression analysis showed that low education level (OR=0.470, 95% CI 0.254-0.870; p=0.016), living with family (OR=0.383, 95% CI 0.174-0.845; p=0.017) depressed mood (OR=1.147, 95% CI 1.112-1.184; p<0.001) was significantly associated with the risk of aggressive behavior in patients with schizophrenia. Multivariate linear regression indicated that higher levels of aggression were linked with lower levels of education and higher depressive mood. Conclusion This study suggests that aggression is more common in patients with stable schizophrenia, and lower levels of education and higher levels of depression are associated risk factors for its occurrence. Living alone may be helpful in reducing the likelihood of aggression.
Collapse
Affiliation(s)
- Shaofei Zhang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Xu Ouyang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Kefei Yang
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Yunyun Shen
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Siyuan Zheng
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Ruoqi Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Xuanlian Sheng
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Menglin Ge
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Meng Yang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
- Chaohu Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| | - Xiaoqin Zhou
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei City, People’s Republic of China
- Second Affiliated Hospital of Anhui Medical University, Hefei City, People’s Republic of China
| |
Collapse
|
8
|
Tandon R, Nasrallah H, Akbarian S, Carpenter WT, DeLisi LE, Gaebel W, Green MF, Gur RE, Heckers S, Kane JM, Malaspina D, Meyer-Lindenberg A, Murray R, Owen M, Smoller JW, Yassin W, Keshavan M. The schizophrenia syndrome, circa 2024: What we know and how that informs its nature. Schizophr Res 2024; 264:1-28. [PMID: 38086109 DOI: 10.1016/j.schres.2023.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 03/01/2024]
Abstract
With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.
Collapse
Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI 49008, United States of America.
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati College of Medicine Cincinnati, OH 45267, United States of America
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States of America
| | - Lynn E DeLisi
- Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, MA 02139, United States of America
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Dusseldorf, Heinrich-Heine University, Dusseldorf, Germany
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute of Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, United States of America; Greater Los Angeles Veterans' Administration Healthcare System, United States of America
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States of America
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN 37232, United States of America
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Glen Oaks, NY 11004, United States of America
| | - Dolores Malaspina
- Department of Psychiatry, Neuroscience, Genetics, and Genomics, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannhein/Heidelberg University, Mannheim, Germany
| | - Robin Murray
- Institute of Psychiatry, Psychology, and Neuroscience, Kings College, London, UK
| | - Michael Owen
- Centre for Neuropsychiatric Genetics and Genomics, and Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Jordan W Smoller
- Center for Precision Psychiatry, Department of Psychiatry, Psychiatric and Neurodevelopmental Unit, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States of America
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
| |
Collapse
|
9
|
Li W, Tian Y, Chen C, Li H, Chen H, Liu J, Chen X, Tang H, Zhou J, Wang S, Wang X, Cai W, Zhou J. Mapping Violent Behaviors and Psychiatric Symptoms Among Male Psychiatric Inpatients from a Network Perspective. Psychiatr Q 2023; 94:705-719. [PMID: 37831344 DOI: 10.1007/s11126-023-10056-5] [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] [Accepted: 10/02/2023] [Indexed: 10/14/2023]
Abstract
Psychiatric symptoms are common risk factors of violent behaviors among psychiatric patients. This study explored the interrelationship between violence and psychiatric symptoms in male psychiatric inpatients. This is a cross-sectional survey conducted in 2019. All patients admitted to the Male Psychiatry Unit of the Second Xiangya Hospital were consecutively recruited. The presence of five violent behaviors and eleven psychiatric symptoms were collected by reviewing medical records and were included as categorical variable in the network analyses. A total of 673 participants were included. The most central symptoms were "flight of ideas", "property-oriented violence", "emotional high", "verbal violence", "physical violence attempt", and "physical violence" in the network of psychiatric symptoms and violent behaviors. The bridge symptoms connecting violence and psychiatric symptoms were "verbal violence", "property-oriented violence", "hyperbulia", and "emotional high" according to the indices of bridge expected influence. The directed acyclic graph analysis revealed that "emotional high" and "hyperbulia" were the key psychiatric symptoms triggering violence, while "verbal violence" and "property-oriented violence" were the most upstream violent behavior. Verbal and property-oriented violence should be addressed in the risk assessment among male psychiatric inpatients. In addition, emotional high and hyperbulia are the potential treatment targets for violent behaviors.
Collapse
Affiliation(s)
- Wen Li
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, 200063, China
| | - Yusheng Tian
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Nursing Teaching and Research Section, The second Xiangya Hospital of Central South University, Changsha, China
| | - Chen Chen
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, 200063, China
| | - Haozhe Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Hui Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Jiali Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Xianliang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Huajia Tang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Jiawei Zhou
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, 200063, China
| | - Shujian Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoping Wang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, 200063, China
| | - Weixiong Cai
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, China.
| | - Jiansong Zhou
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, 200063, China.
| |
Collapse
|
10
|
Sun Y, Jiang W, Yu H, Zhang J, Zhou Y, Yin F, Su H, Jia Y. Construction and verification of aggressive behavior risk prediction model in stable patients with schizophrenia. BMC Psychiatry 2023; 23:800. [PMID: 37919744 PMCID: PMC10621096 DOI: 10.1186/s12888-023-05296-5] [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: 08/25/2023] [Accepted: 10/21/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Among all types of mental disorders, individuals with schizophrenia exhibit the highest frequency of aggressive behavior. This disrupts the healthcare environment and poses threats to family life and social harmony. Present approaches fail to identify individuals with schizophrenia who are predisposed to aggressive behavior. In this study, we aimed to construct a risk prediction model for aggressive behavior in stable patients with schizophrenia, which may facilitate early identification of patients who are predisposed to aggression by assessing relevant factors, enabling the management of high-risk groups to mitigate and prevent aggressive behavior. METHODS A convenience sample of stable inpatients with schizophrenia were selected from Daqing Municipal Third Hospital and Chifeng Municipal Anding Hospital from March 2021 to July 2023. A total of 429 patients with stable schizophrenia who met the inclusion criteria were included. A survey was conducted with them using a questionnaire consisting of general information questionnaire, Positive and Negative Symptom Scale, Childhood Trauma Questionnaire-Short Form, Connor-Davidson Resilience Scale and Self-esteem Scale. Patients enrolled in this study were divided into aggressive and non-aggressive groups based on whether there was at least one obvious and recorded personal attack episode (including obvious wounding and self-injurious behavior) following diagnosis. Binary Logistic regression was used to determine the influencing factors, and R software was used to establish a nomogram model for predicting the risk of aggressive behavior. Bootstrap method was used for internal validation of the model, and the validation group was used for external validation. C statistic and calibration curve were used to evaluate the prediction performance of the model. RESULTS The model variables included Age, Duration of disease, Positive symptom, Childhood Trauma, Self-esteem and Resilience. The AUROC of the model was 0.790 (95% CI:0.729-0.851), the best cutoff value was 0.308; the sensitivity was 70.0%; the specificity was 81.4%; The C statistics of internal and external validation were 0.759 (95%CI:0.725-0.814) and 0.819 (95%CI:0.733-0.904), respectively; calibration curve and Brier score showed good fit. CONCLUSIONS The prediction model has a good degree of discrimination and calibration, which can intuitively and easily screen the high risk of aggressive behavior in stable patients with schizophrenia, and provide references for early screening and intervention.
Collapse
Affiliation(s)
- Yujing Sun
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
- The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Hong Yu
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| | - Jing Zhang
- The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yuqiu Zhou
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| | - Fei Yin
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| | - Hong Su
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| | - Yannan Jia
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| |
Collapse
|
11
|
Renemane L, Rancans E. Case report: Treatment-resistant schizophrenia with auto-aggressive compulsive behavior-Successful management with cariprazine. Front Psychiatry 2023; 14:1209077. [PMID: 37457773 PMCID: PMC10349167 DOI: 10.3389/fpsyt.2023.1209077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/06/2023] [Indexed: 07/18/2023] Open
Abstract
The present case report describes a patient with treatment-resistant schizophrenia and auto-aggressive compulsive behavior who was effectively treated with a third-generation antipsychotic medication, cariprazine. The diagnosis was made 12 years ago, and the patient has been hospitalized 14 times and undergone various antipsychotic treatments. Despite receiving both inpatient and outpatient care, the patient's response to treatment has been only partial, and he has been classified as a treatment-resistant case. Therefore, the patient was switched to cariprazine, which led to significant improvements in both positive and negative symptoms, as well as the complete reduction of auto-aggressive compulsive behavior. These improvements contributed to the patient's overall social functioning and the achievement of remission, while also avoiding polypharmacy and eliminating the metabolic side effects associated with previous treatments.
Collapse
Affiliation(s)
- Lubova Renemane
- Riga Stradins University, Department of Psychiatry and Narcology, Riga, Latvia
- Riga Centre of Psychiatry and Addiction Disorders, Riga, Latvia
| | - Elmars Rancans
- Riga Stradins University, Department of Psychiatry and Narcology, Riga, Latvia
- Riga Centre of Psychiatry and Addiction Disorders, Riga, Latvia
| |
Collapse
|
12
|
Gong M, Yao L, Ge X, Liu Z, Zhang C, Yang Y, Amdanee N, Wang C, Zhang X. Empathy deficit in male patients with schizophrenia and its relationships with impulsivity and premeditated violence. Front Psychiatry 2023; 14:1160357. [PMID: 37398588 PMCID: PMC10308378 DOI: 10.3389/fpsyt.2023.1160357] [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] [Received: 02/07/2023] [Accepted: 05/22/2023] [Indexed: 07/04/2023] Open
Abstract
Objective To explore the pattern of empathy characteristics in male patients with schizophrenia (SCH) and to examine whether empathy deficit is associated with impulsivity and premeditated violence. Methods One hundred and fourteen male SCH patients were enrolled in this study. The demographic data of all patients were collected and the subjects were divided into two groups, namely, the violent group, including 60 cases, and the non-violent group, comprising 54 cases, according to the Modified Overt Aggression Scale (MOAS). The Chinese version of the Interpersonal Reactivity Index-C (IRI-C) was used to evaluate empathy and the Impulsive/Predicted Aggression Scales (IPAS) was employed to assess the characteristics of aggression. Results Among the 60 patients in the violent group, 44 patients had impulsive aggression (IA) and 16 patients had premeditated aggression (PM) according to the IPAS scale. In the violent group, the scores of the four subfactors of the IRI-C, i.e., perspective taking (PT), fantasy (FS), personal distress (PD), and empathy concern (EC), were significantly lower than in the non-violent group. Stepwise logistic regression showed that PM was independent influencing factor for violent behaviors in SCH patients. Correlation analysis revealed that EC of affective empathy was positively correlated with PM but not with IA. Conclusion SCH patients with violent behavior had more extensive empathy deficits compared with non-violent SCH patients. EC, IA and PM are independent risk factors of violence in SCH patients. Empathy concern is an important index to predict PM in male patients with SCH.
Collapse
Affiliation(s)
- Muxin Gong
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Psychiatry, Xuzhou Medical University, Xuzhou, China
| | - Lei Yao
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiaodan Ge
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Zhenru Liu
- Department of Psychiatry, Xuzhou Medical University, Xuzhou, China
| | - Caiyi Zhang
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yujing Yang
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Nousayhah Amdanee
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chengdong Wang
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiangrong Zhang
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Psychiatry, Xuzhou Medical University, Xuzhou, China
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| |
Collapse
|
13
|
Tseligkaridou G, Egger ST, Spiller TR, Schneller L, Frauenfelder F, Vetter S, Seifritz E, Burrer A. Relationship between antipsychotic medication and aggressive events in patients with a psychotic disorder hospitalized for treatment. BMC Psychiatry 2023; 23:205. [PMID: 36978013 PMCID: PMC10052831 DOI: 10.1186/s12888-023-04692-1] [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] [Received: 01/29/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Disruptive and aggressive behavior is frequent in patients with a psychotic disorder; furthermore, it is a recurrent reason for compulsory admission. Even during treatment, many patients continue to show aggressive behavior. Antipsychotic medication is posed to have anti-aggressive properties; its prescription is a common strategy for the treatment (and prevention) of violent behavior. The present study aims to investigate the relation between the antipsychotic class, according to the dopamine D2-Receptor binding affinity (i.e., "loose" - "tight binding"), and aggressive events perpetrated by hospitalized patients with a psychotic disorder. METHODS We conducted a four-year retrospective analysis of legally liable aggressive incidents perpetrated by patients during hospitalization. We extracted patients' basic demographic and clinical data from electronic health records. We used the Staff Observation Aggression Scale (SOAS-R) to grade the severity of an event. Differences between patients with a "loose" or "tight-binding" antipsychotic were analyzed. RESULTS In the observation period, there were 17,901 direct admissions; and 61 severe aggressive events (an incidence of 0.85 for every 1,000 admissions year). Patients with a psychotic disorder perpetrated 51 events (incidence of 2.90 for every 1,000 admission year), with an OR of 15.85 (CI: 8.04-31.25) compared to non-psychotic patients. We could identify 46 events conducted by patients with a psychotic disorder under medication. The mean SOAS-R total score was 17.02 (2.74). The majority of victims in the "loose-binding" group were staff members (73.1%, n = 19), while the majority of victims in the "tight-binding" group were fellow patients (65.0%, n = 13); (X2(3,46) = 19.687; p < 0.001). There were no demographic or clinical differences between the groups and no differences regarding dose equivalents or other prescribed medication. CONCLUSIONS In aggressive behaviors conducted by patients with a psychotic disorder under antipsychotic medication, the dopamine D2-Receptor affinity seems to have a high impact on the target of aggression. However, more studies are needed to investigate the anti-aggressive effects of individual antipsychotic agents.
Collapse
Affiliation(s)
- Georgia Tseligkaridou
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Stephan T Egger
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Tobias R Spiller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Lena Schneller
- Legal and Compliance, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Fritz Frauenfelder
- Department of Nursing, Therapies and Social Work, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Stefan Vetter
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Achim Burrer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.
| |
Collapse
|
14
|
Examination of the Relationship between Peripheral Inflammation Markers and Impulsivity and Aggression in Schizophrenia Patients Involved and Not Involved in Crime. J Pers Med 2023; 13:jpm13030475. [PMID: 36983657 PMCID: PMC10058134 DOI: 10.3390/jpm13030475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/02/2023] [Accepted: 03/04/2023] [Indexed: 03/08/2023] Open
Abstract
Aim: The aim of this study was to examine the relationship between peripheral inflammatory markers and aggression and impulsivity in schizophrenia patients with and without criminal histories. Materials and Methods: The study was conducted with patients with schizophrenia involved in crimes and hospitalized in the Forensic Psychiatry ward of Elazığ Fethi Sekin City Hospital and patients with schizophrenia not involved in crimes and hospitalized in the psychiatry ward of Elazığ Mental Health and Diseases Hospital. All participants completed the Buss–Waren Aggression Scale (BWAS), the Barratt Impulsiveness Scale-11 (BIS-11), and the Positive and Negative Symptom Scale (PANSS). Before treatment, venous blood samples were taken for laboratory measurements on the first day of hospitalization. Results: All participants were male. The mean age of those involved in a crime was 39 ± 9.7 years, while the mean age of those not involved in a crime was 41.2 ± 10.7 years. The PANSS all subscale and total scores of the patients with schizophrenia who were involved in a crime were significantly higher than the group who were not involved (p values were p < 0.001, p = 0.001, p = 0.043, p = 0.001, respectively). The BWAS—physical aggression (p = 0.007) and total scores of the scale (p = 0.046) and BIS-11—inability to plan (p = 0.002) scores of the group involved in a crime were higher than the group not involved. As for laboratory parameters, MCH, MCHC, PDW, eosinophils, basophils, RDW-CV, and RDW-SD values were significantly higher in those involved in crime, while MPV, creatinine, albumin, and LDH values were lower. CRP and CRP/albumin values were significantly higher, while neutrophil/albumin values were significantly lower in those who committed murder in the first degree than those who committed other crimes. Conclusion: Based on our results, we found that inflammatory agents were significantly increased in forensic schizophrenia patients with high aggression scores. Significant correlations between some inflammatory factors and impulsivity and aggression scores and differences in these factors according to crime types showed that these factors might be related to violence and criminal behavior. There is a need for further large-scale studies on this subject at different stages of the disease.
Collapse
|
15
|
Deng H, He L, Wang C, Zhang T, Guo H, Zhang H, Song Y, Chen B. Altered gut microbiota and its metabolites correlate with plasma cytokines in schizophrenia inpatients with aggression. BMC Psychiatry 2022; 22:629. [PMID: 36167540 PMCID: PMC9513873 DOI: 10.1186/s12888-022-04255-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 09/12/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The pathophysiological mechanisms of aggression are manifold and they may closely interconnect. Current study aimed to determine the gut microbiota and its metabolites, and clarify their correlations with inflammation, oxidation, leaky gut and clinical profiles underlying aggression in schizophrenia (ScZ). METHODS Serum and stool specimens from ScZ inpatients with (ScZ-Ag, 25 cases) and without aggression (NScZ-Ag, 25 cases) were collected. Systemic inflammation, oxidation and leaky gut biomarkers were determined by ELISA, gut microbiota by 16S rRNA sequencing, short-chain fatty acids (SCFAs) by gas chromatography-mass spectrometry analysis and neurotransmitters by liquid chromatograph mass spectrometry analysis. RESULTS Significantly higher systemic pro-inflammation, pro-oxidation and leaky gut biomarkers were observed in ScZ-Ag than NScZ-Ag group (all P<0.001). Compared to NScZ-Ag group, the alpha-diversity and evenness of fecal bacterial community were much lower, the abundance of fecal genera Prevotella was significantly increased, while that Bacteroides, Faecalibacterium, Blautia, Bifidobacterium,Collinsella and Eubacterium_coprostanoligenes were remarkably reduced in ScZ-Ag group (all corrected P<0.001). Meanwhile, 6 SCFAs and 6 neurotransmitters were much lower in ScZ-Ag group (all P<0.05). Finally, a few strongly positive or negative correlations among altered gut microbiota, SCFAs, systemic pro-inflammation, leaky gut, pro-oxidation and aggression severity were detected. CONCLUSIONS These results demonstrate that pro-inflammation, pro-oxidation and leaky gut phenotypes relating to enteric dysbacteriosis and microbial SCFAs feature the aggression onset or severity in ScZ individuals.
Collapse
Affiliation(s)
- Hongxin Deng
- Department of Psychiatry, Zhumadian Psychiatric Hospital (The Second People’s Hospital of Zhumadian), Zhumadian, 463003 China
| | - Lei He
- Department of Psychiatry, Zhumadian Psychiatric Hospital (The Second People’s Hospital of Zhumadian), Zhumadian, 463003 China
| | - Chong Wang
- Department of Psychiatry, Zhumadian Psychiatric Hospital (The Second People’s Hospital of Zhumadian), Zhumadian, 463003 China
| | - Teng Zhang
- Department of Psychiatry, Zhumadian Psychiatric Hospital (The Second People’s Hospital of Zhumadian), Zhumadian, 463003 China
| | - Hua Guo
- Department of Psychiatry, Zhumadian Psychiatric Hospital (The Second People’s Hospital of Zhumadian), Zhumadian, 463003 China
| | - Hongwei Zhang
- Department of Psychiatry, Zhumadian Psychiatric Hospital (The Second People’s Hospital of Zhumadian), Zhumadian, 463003 China
| | - Yanning Song
- Department of Psychiatry, Zhumadian Psychiatric Hospital (The Second People’s Hospital of Zhumadian), Zhumadian, 463003 China
| | - Bangtao Chen
- Department of Dermatology, Chongqing University Three Gorges Hospital, School of Medicine, Chong University, Chongqing, 404000, China.
| |
Collapse
|
16
|
Li W, Zhang Q, Tang Y, Park SC, Park Y, Yang SY, Chen LY, Lin SK, Najoan E, Kallivayalil RA, Viboonma K, Jamaluddin R, Javed A, Thi Quynh Hoa D, Iida H, Sim K, Swe T, He YL, Ahmed HU, De Alwis A, Chiu HFK, Sartorius N, Tan CH, Chong MY, Shinfuku N, Avasthi A, Grover S, Ungvari GS, Ng CH, Xiang YT. Network analysis of psychiatric symptoms in schizophrenia: Findings from the Research on Asian Psychotropic Prescription Patterns for Antipsychotics (REAP-AP). Asian J Psychiatr 2022; 75:103200. [PMID: 35850062 DOI: 10.1016/j.ajp.2022.103200] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 06/22/2022] [Accepted: 07/01/2022] [Indexed: 11/02/2022]
Abstract
AIMS Schizophrenia is a major mental disorder with a wide range of psychiatric symptoms. This study explored the structure of psychiatric symptoms of schizophrenia using network analysis in a large representative Asian sample based on a survey of clinical features and treatment used in schizophrenia patients across 15 countries/territories in Asia. METHODS Data on the demographic characteristics and psychiatric symptoms in schizophrenia patients were extracted from the dataset of the fourth Research on Asia Psychotropic Prescription for Antipsychotics (REAP-AP) project. The presence of the following psychiatric symptoms including delusions, hallucinations, disorganized speech, grossly disorganized or catatonic behavior, negative symptoms, social/occupational dysfunction, verbal aggression, physical aggression, and affective symptoms were analyzed. RESULTS A total of 3681 patients were included. The network analysis revealed that verbal aggression, hallucinations, and social/occupational dysfunction were the most central symptoms, while the connections between social/occupational dysfunction and verbal aggression, and between hallucinations and disorganized speech were the two strongest edges. There were significant gender differences in the network structure based on the network structure invariance test (M=0.74, P = 0.03) and invariant edge strength test. The positive correlation between verbal aggression and hallucinations was significantly stronger in the female network than that in the male network (P = 0.03), while a negative correlation between affective symptoms and negative symptoms was found in the female, but not the male network (P < 0.01). CONCLUSION Central symptoms including verbal aggression, hallucinations, and socio-occupational dysfunction should be addressed in developing targeted treatment strategy for schizophrenia patients.
Collapse
Affiliation(s)
- Wen Li
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, China, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Qinge Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yilang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA; Atlanta Veterans Affairs Medical Center, Decatur, GA, USA
| | - Seon-Cheol Park
- Department of Psychiatry, Hanyang University College of Medicine, Seoul, the Republic of Korea
| | - Yongchon Park
- Department of Psychiatry, Hanyang University, Seoul, the Republic of Korea
| | - Shu-Yu Yang
- Department of Pharmacy, Taipei City Hospital, Taipei, Taiwan
| | - Lian-Yu Chen
- Kunming Prevention and Control Center, Taipei City Hospital; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
| | - Shih-Ku Lin
- Kunming Prevention and Control Center, Taipei City Hospital; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan
| | | | | | | | - Ruzita Jamaluddin
- Department of Psychiatry & Mental Health, Hospital Tuanku Fauziah, Kangar, Perlis, Malaysia
| | - Afzal Javed
- Pakistan Psychiatric Research Centre, Fountain House, Lahore, Pakistan
| | | | - Hitoshi Iida
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Kang Sim
- Institute of Mental Health, Buangkok Green Medical Park, Singapore
| | - Thiha Swe
- Department of Mental Health, University of Medicine, Magway, Myanmar
| | - Yan-Ling He
- Department of Psychiatric Epidemiology, Shanghai Mental Health Center, Shanghai, China
| | | | | | - Helen F K Chiu
- Department of Psychiatry, Chinese University of Hong Kong, Hong Kong, China
| | - Norman Sartorius
- Association for the Improvement of Mental Health Programs, Geneva, Switzerland
| | - Chay-Hoon Tan
- Department of Pharmacology, National University of Singapore, Singapore
| | - Mian-Yoon Chong
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung & Chang Gung University School of Medicine, Taoyuan, Taiwan
| | - Naotaka Shinfuku
- International Center for Medical Research, Kobe University School of Medicine, Kobe, Japan
| | - Ajit Avasthi
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Gabor S Ungvari
- University of Notre Dame Australia, Fremantle, Australia; Division of Psychiatry, Medical School, University of Western Australia, Perth, Australia
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao; Centre for Cognitive and Brain Sciences, University of Macau, Macao; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao.
| |
Collapse
|
17
|
Guo Y, Yang X, Wang D, Fan R, Liang Y, Wang R, Xiang H, Liu Y, Liu X. Prevalence of violence to others among individuals with schizophrenia in China: A systematic review and meta-analysis. Front Psychiatry 2022; 13:939329. [PMID: 35935404 PMCID: PMC9354073 DOI: 10.3389/fpsyt.2022.939329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/04/2022] [Indexed: 01/28/2023] Open
Abstract
Background Violence to others (hereinafter referred to as "violence-TO") is common in individuals with schizophrenia. The reported prevalence of violence-TO among schizophrenics ranges widely in existing studies. Improved prevalence estimates and identification of moderators are needed to guide future management and research. Methods We searched EBSCO, EMBASE, Medline, PubMed, Science Direct, Web of Science, CNKI, VIP, WANFANG data, and CBM for relevant articles published before June 5, 2022. Meanwhile, violence-TO was summarized into four categories: (a) violence-TO on the reviews of official criminal or psychiatric records (type I); (b) less serious forms of violence-TO (type II); (c) physical acts causing demonstrable harm to victims (type III); (d) homicide (type IV). We did meta-analysis for the above types of violence-TO, respectively, and applied subgroup analyses and meta-regression analyses to investigate the source of heterogeneity. Results A total of 56 studies were eligible in this study and 34 of them were high-quality. The prevalence of type I to type IV in individuals with schizophrenia in China was 23.83% (95% CI: 18.38-29.75%), 23.16% (95% CI: 8.04-42.97%), 17.19% (95%CI: 8.52-28.04%), and 0.62% (95% CI: 0.08-1.54%) respectively. The results of the subgroup analysis showed that the prevalence of type I was higher among subjects in the inland than in the coastal non-economic zone, while the prevalence of type III was the highest in the coastal economic zone, followed by the inland region and the lowest in the coastal non-economic zone. The results of multivariate meta-regression analyses showed that: patient source in type I (β = 0.15, P < 0.01), patient source (β = 0.47, P < 0.01), and proportion of male (β = 0.19, P < 0.01) in type II, age (β = 0.25, P < 0.01), and GDP per capita (β = 0.05, P = 0.01) in type III were statistically significant. Conclusion The prevalence of different types of violence-TO and their influencing factors varied. Therefore, the authorities should take different management measures. In addition to individual factors, regional factors may also affect violence-TO, which suggests the need for a multi-sectorial approach to prevention and treatment for subjects in different regions and adopting targeted control strategies. Systematic Review Registration [www.ClinicalTrials.gov], identifier [CRD42021269767].
Collapse
Affiliation(s)
- Yi Guo
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xianmei Yang
- Sichuan Mental Health Center, The Third Hospital of Mianyang, Mianyang, China
| | - Dan Wang
- Sichuan Mental Health Center, The Third Hospital of Mianyang, Mianyang, China
| | - Ruoxin Fan
- Sichuan Mental Health Center, The Third Hospital of Mianyang, Mianyang, China
| | - Yiying Liang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Rongke Wang
- Sichuan Mental Health Center, The Third Hospital of Mianyang, Mianyang, China
| | - Hu Xiang
- Sichuan Mental Health Center, The Third Hospital of Mianyang, Mianyang, China
| | - Yuanyuan Liu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xiang Liu
- Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
18
|
Chen L, Tan W, Lin X, Lin H, Xi J, Zhang Y, Jia F, Hao Y. Influencing factors of multiple adverse outcomes among schizophrenia patients using count regression models: a cross-sectional study. BMC Psychiatry 2022; 22:472. [PMID: 35840915 PMCID: PMC9284775 DOI: 10.1186/s12888-022-04070-3] [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: 09/22/2021] [Accepted: 06/17/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Schizophrenia patients have increased risks of adverse outcomes, including violent crime, aggressiveness, and suicide. However, studies of different adverse outcomes in schizophrenia patients are limited and the influencing factors for these outcomes need clarification by appropriate models. This study aimed to identify influencing factors of these adverse outcomes by examining and comparing different count regression models. METHODS This study included schizophrenia patients who had at least one follow-up record in the Guangdong Mental Health Center Network Medical System during 2020. Three types of adverse outcomes were included: a) aggressiveness with police dispatch or violent crime, b) aggressiveness without police dispatch, and c) self-harm or suicide attempts. The incidence density of these adverse outcomes was investigated using the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) models, accordingly. The best model was chosen based on goodness-of-fit tests. We further analyzed associations between the number of occurrences of adverse outcomes and sociodemographic, clinical factors with the best model. RESULTS A total of 130,474 schizophrenia patients were enrolled. Adverse outcomes rates were reported to be less than 1% for schizophrenia patients in 2020, in Guangdong. The NB model performed the best in terms of goodness-of-fit and interpretation when fitting for the number of occurrences of aggressiveness without police dispatch, whereas the ZINB models performed better for the other two outcomes. Age, sex, and history of adverse outcomes were influencing factors shared across these adverse outcomes. Higher education and employment were protective factors for aggressive and violent behaviors. Disease onset aged ≥ 18 years served as a significant risk factor for aggressiveness without police dispatch, and self-harm or suicide attempts. Family history of mental diseases was a risk factor for self-harm or suicide attempts individually. CONCLUSIONS NB and ZINB models were selected for fitting the number of occurrences of adverse outcomes among schizophrenia patients in our studies. Influencing factors for the incidence density of adverse outcomes included both those shared across different types and those individual to specific types. Therefore, comprehensive and customized tools in risk assessment and intervention might be necessary.
Collapse
Affiliation(s)
- Lichang Chen
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Wenyan Tan
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Xiao Lin
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Haicheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Junyan Xi
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Yuqin Zhang
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
| | - Yuantao Hao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, 100191, China.
| |
Collapse
|
19
|
Mauri MC, Cirnigliaro G, Piccoli E, Vismara M, De Carlo V, Girone N, Dell’Osso B. Substance Abuse Associated with Aggressive/Violent Behaviors in Psychiatric Outpatients and Related Psychotropic Prescription. Int J Ment Health Addict 2022. [DOI: 10.1007/s11469-022-00842-w] [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: 11/28/2022] Open
Abstract
AbstractPsychiatric
disorders with substance abuse are considered the leading causes of most violent and aggressive behaviors in the general population. This study was aimed to assess the impact of substance abuse and the therapeutic approaches adopted by psychiatrists in aggressive vs non-aggressive outpatients (n = 400) attending community-based psychiatric services and recruited over a 3-year period. Clinical and therapeutic variables were collected from medical records and the Modified Overt Aggression Scale (MOAS) was used to assess any aggressive/violent behavior. Violent behaviors were significantly higher in alcohol and substance abusers compared to non-abusers (p < 0.01), except for heroin abusers. Mean weighted MOAS score was significantly higher in patients taking antipsychotics (p < 0.005). The administration of Haloperidol, Zuclopenthixol, and Clozapine was more frequent in aggressive than in non-aggressive patients. The most frequently administered drug in these patients was Haloperidol (23.91%), with a higher mean daily dosage in violent vs non-violent patients. Our results confirm the well-established relationship between substance abuse and violent behaviors in psychiatric inpatients also within outpatient community services. Observed rates of most frequently prescribed antipsychotics to aggressive patients did not show any preference for newer generation compounds, with clinicians operating in the community setting likely being in need for further evidence and specific training to support their treatment choice.
Collapse
|
20
|
Lata K, Ajesh Kumar TK, Khakha DC, Deep R. Effectiveness of a Home Based Training Program on Caregivers Knowledge in Managing Aggressive Behavior of Patients With Mental Illness. HOME HEALTH CARE MANAGEMENT AND PRACTICE 2022. [DOI: 10.1177/10848223211039448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In India, more than 90% of the patient with chronic mental illness stayed with their family members. Approximately 77.4% of caregivers experience moderate to severe levels of aggression. The purpose of this study was to evaluate the effectiveness of caregiver-training program on knowledge in managing aggressive behavior of mentally ill at home. Research design was pre-experimental. Seventy two caregivers were recruited using purposive sampling technique. The caregivers knowledge was assessed at 3 time points with regard to training program; before, immediately (post-test 1), and after 1 month (±1 week; post-test 2). The baseline knowledge was reflective of the deficiencies existing in the management of aggression of the mentally ill by caregivers. The knowledge of caregivers regarding the management of aggressive behavior of mentally ill, increased after caregiver training program, from the pre-test score of 17.63 ± 3.3 to post-test 1 score of 23.26 ± 2.9, and slightly decreased post-test 2 score of 21.01 ± 3.3 at p < .05. Repeated measure analysis of variance (ANOVA) was done to compare the differences in knowledge score over time with Bonferroni adjustment. This home based caregiver training program helped caregivers to identify etiological factors of aggression, warning signs of aggression and use of de-escalation strategies to manage aggressive behavior of mentally ill. Training caregivers regarding aggression management will make caregiver proficient in practicing safe approach during handling of aggressive patient which will ensure the physical safety of the caregiver as well as of the patient and let the patient stay at home.
Collapse
Affiliation(s)
- Kusum Lata
- All India Institute of Medical Sciences, New Delhi, New Delhi, Delhi, India
| | - T. K Ajesh Kumar
- All India Institute of Medical Sciences, New Delhi, New Delhi, Delhi, India
| | - Deepika C. Khakha
- All India Institute of Medical Sciences, New Delhi, New Delhi, Delhi, India
| | - Raman Deep
- All India Institute of Medical Sciences, New Delhi, New Delhi, Delhi, India
| |
Collapse
|
21
|
The Neutrophil-Lymphocyte Ratio Is Positively Correlated with Aggression in Schizophrenia. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4040974. [PMID: 35502339 PMCID: PMC9056227 DOI: 10.1155/2022/4040974] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/20/2022]
Abstract
To find biomarkers to assess the risk of aggression, we looked at the association between aggression and levels of body inflammation in patients with schizophrenia. The Modified Overt Aggression Scale (MOAS) score was used to divide the aggressive (n = 72) and nonaggressive (n = 141) groups. The Brief Psychiatric Rating Scale (BPRS) is a tool for determining the severity of a patient's condition. After measuring the number of inflammatory cells in the peripheral blood, the platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and monocyte-lymphocyte ratio (MLR) were estimated. We investigated the relationship between aggressive behavior, bodily inflammation, and BPRS. Before therapy, the aggressive group's BPRS score, white blood cell (WBC) count, neutrophil count, monocyte count, NLR, and MLR were considerably more significant than the nonaggressive group's. After therapy, statistically significant variations in total BPRS score and neutrophil count between the two groups. According to correlation analysis before and after treatment, aggressive behavior was positively connected with neutrophil count, NLR, and BPRS score. The presence of aggressive behavior in schizophrenic patients indicates the severity of the disorder to some degree. NLR can be used as an objective biomarker to quickly assess the risk of aggression in schizophrenic patients.
Collapse
|
22
|
Long Y, Tong X, Awad M, Xi S, Yu Y. Violence, runaway, and suicide attempts among people living with schizophrenia in China: Prevalence and correlates. PeerJ 2022; 10:e13033. [PMID: 35251789 PMCID: PMC8896021 DOI: 10.7717/peerj.13033] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 02/08/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND People living with schizophrenia are at higher risk of disruptive behaviors, including violence, running away from home, and suicide attempts, which often co-occur and are highly correlated, yet seldom studied together. The current study investigated the frequency and correlates of disruptive behaviors among a Chinese community sample of individuals living with schizophrenia. METHODS A cross-sectional study was conducted among 400 individuals living with schizophrenia from 12 communities. Data about disruptive behaviors in the past 2 months was collected using self-designed questionnaires. Clinical characteristics including psychiatric symptoms, depression, anxiety, disability, and functioning were collected by internationally standardized assessment instruments. RESULTS About one-fifth (21%) of the subjects had experienced at least one form of disruptive behavior in the past 2 months. Violence was the most commonly reported (17.25%), which included damaging property (15%) and physical violence toward others (7.5%); followed by running away (6.5%), and suicide attempts (4%). Logistic regression analysis suggested that medication non-adherence (OR = 4.96, 95% CI [1.79-13.72]), involuntary hospital admission (OR = 5.35, 95% CI [2.06-13.87]), depression (OR = 2.34, 95% CI [1.07-5.10]), and lower social functioning (OR = 0.97, 95% CI [0.93-0.99]) were independently associated with a higher risk of disruptive behaviors. CONCLUSIONS The overlap among three forms of disruptive behaviors warrants them to be assessed and studied together in clinical, research, and policy fields. The significant association between disruptive behaviors with medication non-adherence, involuntary admission, depression, and lower social functioning indicates the need for integrated, targeted, and needs-based intervention programs to be developed for the prevention and treatment of these disruptive behaviors.
Collapse
Affiliation(s)
- Yixiang Long
- Department of Nursing, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiaoliang Tong
- Department of Nursing, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Michael Awad
- Division of Prevention and Community Research, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Shijun Xi
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yu Yu
- Division of Prevention and Community Research, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA,Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| |
Collapse
|
23
|
Moskaliuk VS, Kozhemyakina RV, Bazovkina DV, Terenina E, Khomenko TM, Volcho KP, Salakhutdinov NF, Kulikov AV, Naumenko VS, Kulikova E. On an association between fear-induced aggression and striatal-enriched protein tyrosine phosphatase (STEP) in the brain of Norway rats. Pharmacotherapy 2022; 147:112667. [DOI: 10.1016/j.biopha.2022.112667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 01/14/2022] [Accepted: 01/24/2022] [Indexed: 11/28/2022]
|
24
|
de Bles NJ, Hazewinkel AWP, Bogers JPAM, van den Hout WB, Mouton C, van Hemert AM, Rius Ottenheim N, Giltay EJ. The incidence and economic impact of aggression in closed long-stay psychiatric wards. Int J Psychiatry Clin Pract 2021; 25:430-436. [PMID: 32955370 DOI: 10.1080/13651501.2020.1821894] [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] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Aggressive behaviour is highly prevalent in long-term psychiatric inpatient care. We aimed to estimate the overall incidence of aggression, the time staff took to handle aggression incidents, and the weighted average financial costs thereof. METHODS A random sampling procedure was conducted at long-term psychiatric inpatient care facilities. Nurses were asked to recall all incidents (i.e., verbal, physical towards objects, self, or others) of their shift. For the time spent on each type of incident, staff were monitored in real-time. Estimated costs were calculated by the time spent multiplied by hourly wages in addition to material-related costs. RESULTS Incidence rates were 90 incidents per patient year. The average time spent per incident was 125 min but differed for each type of incident. Almost 80% of this time was consumed by nursing staff. The average cost per aggression incident was €78; extrapolated per patient year, the total costs were approximately €7000. CONCLUSIONS The current study found a high rate of aggression incidents in closed long-stay psychiatric wards. Reports of aggression on these types of wards are scarce. Nevertheless, aggression seems to have a severe impact on invested time and related costs, which suggests a need for aggression-prevention and de-escalating programs.Key pointsAggression incidents are highly prevalent and are accompanied by high costs.The effect of aggression incidents on the workload for staff members is high, especially for nursing staff.Studies across countries on the incidence and the costs of aggression among psychiatric inpatients are needed to help model the effects of (new) strategies for aggression reduction.
Collapse
Affiliation(s)
- Nienke J de Bles
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Wilbert B van den Hout
- Department of Biomedical Data Science, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Albert M van Hemert
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| |
Collapse
|
25
|
Worldwide prevalence of suicide attempt in pregnant and postpartum women: a meta-analysis of observational studies. Soc Psychiatry Psychiatr Epidemiol 2021; 56:711-720. [PMID: 33191455 DOI: 10.1007/s00127-020-01975-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 10/24/2020] [Indexed: 02/05/2023]
Abstract
PURPOSE Past suicide attempts (SA) are a major contributor to suicide. The prevalence of SA in pregnant and postpartum women varied significantly across studies. Therefore, this meta-analysis was conducted to examine the prevalence of SA and its mediating factors in this population. METHODS Relevant articles published in PubMed, EMBASE, Web of Science, PsycINFO, Medline complete, Chinese National Knowledge Infrastructure database (CNKI), Chinese Wanfang and Chongqing VIP database were systematically searched from inception to March 28, 2019. Titles, abstracts and full texts were reviewed independently by three researchers. Studies were included if they reported data on SA prevalence or provided relevant data that enabled the calculation of SA prevalence. Data were extracted by two researchers and checked by one senior researcher. The random-effects model was used to analyze data by the CMA 2.0 and Stata 12.0, with the high degree of statistical heterogeneity present. The primary outcomes were prevalence of SA with 95% CI during pregnancy and during the first-year postpartum. RESULTS Fourteen studies covering 6,406,245 pregnant and postpartum women were included. The pooled prevalence of SA was 680 per 100,000 (95% confidence interval 0.10-4.69%) during pregnancy and 210 per 100,000 (95% confidence interval 0.01-3.21%) during the first-year postpartum. Data source was significantly associated with prevalence of SA in the subgroup analysis (pregnancy, p < 0.001; the first-year postpartum, p = 0.013). CONCLUSION The prevalence of SA is not high in pregnant and postpartum women. Due to the potential loss of life and negative impact of SA on health outcomes, however, careful screening and effective preventive measures should be implemented for this population.
Collapse
|
26
|
Sharma A, McClellan J. Emotional and Behavioral Dysregulation in Severe Mental Illness. Child Adolesc Psychiatr Clin N Am 2021; 30:415-429. [PMID: 33743948 DOI: 10.1016/j.chc.2020.10.010] [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] [Indexed: 12/12/2022]
Abstract
Emotional and behavioral dysregulation are common in severe mental illnesses, including schizophrenia, bipolar disorder, and borderline personality disorder. Emotional instability and behavioral outbursts can be driven by internal processes and/or environmental triggers and interpersonal interactions. Understanding the underlying diagnosis is important in determining the best course of treatment. Disorder-specific treatments are important in addressing underlying drivers of emotional dysregulation, irritability, and aggression. Coping skills training and behavioral modification strategies have broad applicability and are useful for aggression and irritability. Treatment planning to address emotion dysregulation and aggression in severe mental illness should address psychiatric comorbidities, substance use, and medication adherence.
Collapse
Affiliation(s)
- Aditi Sharma
- Department of Psychiatry and Behavioral Sciences, University of Washington, 4800 Sand Point WAY Northeast, MS OA.5.154, Seattle, WA 98105, USA
| | - Jon McClellan
- Department of Psychiatry and Behavioral Sciences, University of Washington, 8805 Steilacoom Boulevard Southwest, Lakewood, WA 98498, USA.
| |
Collapse
|
27
|
Lewis AS, Picciotto MR. Regulation of aggressive behaviors by nicotinic acetylcholine receptors: Animal models, human genetics, and clinical studies. Neuropharmacology 2020; 167:107929. [PMID: 32058178 PMCID: PMC7080580 DOI: 10.1016/j.neuropharm.2019.107929] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 12/18/2019] [Accepted: 12/25/2019] [Indexed: 12/12/2022]
Abstract
Neuropsychiatric disorders are frequently complicated by aggressive behaviors. For some individuals, existing behavioral and psychopharmacological treatments are ineffective or confer significant side effects, necessitating development of new ways to treat patients with severe aggression. Nicotinic acetylcholine receptors (nAChRs) are a large and diverse family of ligand-gated ion channels expressed throughout the brain that influence behaviors highly relevant for neuropsychiatric disorders, including attention, mood, and impulsivity. Nicotine and other drugs targeting nAChRs can reduce aggression in animal models of offensive, defensive, and predatory aggression, as well as in human laboratory studies. Human genetic studies have suggested a relationship between the CHRNA7 gene encoding the alpha-7 nAChR and aggressive behavior, although these effects are heterogeneous and strongly influenced by genetic background and environment. Here we review animal, human genetic, and clinical studies supporting a consistent role of nicotine and nAChR signaling in modulation of aggressive behaviors. We integrate findings from recent studies of aggression neuroscience, discuss the circuitry that may be involved in these effects of nAChRs, and identify multiple key questions that must be answered prior to safe and effective translation for human patients. This article is part of the special issue on 'Contemporary Advances in Nicotine Neuropharmacology'.
Collapse
Affiliation(s)
- Alan S Lewis
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
| | | |
Collapse
|