scholarly journals Correction to: Outness Profiles and Mental Health in Brazilian Lesbian Women: a Cluster Analysis

2021 ◽  
Author(s):  
Aline Pompeu Silveira ◽  
Elder Cerqueira-Santos ◽  
Aline Nogueira de Lira
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Lesbian Women

Outness Profiles and Mental Health in Brazilian Lesbian Women: a Cluster Analysis

2021 ◽  
Author(s):  
Aline Pompeu Silveira ◽  
Elder Cerqueria-Santos ◽  
Aline Nogueira de Lira
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Lesbian Women

scholarly journals Perspectives on a psychiatric outpatient service for immigrants and refugees in São Paulo, Brazil over a 15-year period

2021 ◽  
pp. 002076402110272
Author(s):  
Luciana de Andrade Carvalho ◽  
Laura Helena Andrade ◽  
Patrícia Lin Ang ◽  
Carmen Lucia Albuquerque de Santana ◽  
Francisco Lotufo Neto ◽  
...  
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Psychiatric Service ◽  
Sao Paulo ◽  
Service Planning ◽  
São Paulo ◽  
Immigrants And Refugees ◽  
Common Diagnosis ◽  
Logistic Regressions ◽  
Refugee Men

Background: Immigrants and refugees have specific mental health needs. Studies of immigrant/refugee psychiatric patients in Latin America are scarce. Aims: Present the profile of patients from an outpatient psychiatric service in Sao Paulo (Brazil) to better inform mental health service planning for immigrants and refugees in the Global South. Methods: Exploratory study to characterize the sociodemographic and mental health profile of refugees and immigrants attending outpatient psychiatric service from 2003 to 2018. Chi-square tests and logistic regressions were used to examine the association of demographic variables, exposure to violence, and immigrant status with psychiatric diagnosis. Cluster analysis was used to identify subgroups within the sample. Results: A total of 162 immigrants and refugees referred to the service obtained treatment. Of these patients, 57.4% were men, 59.8% were refugees/asylum seekers, 51.9% were Black, 48.8% were single, 64.2% had 10 years of education, and 57.4% were unemployed; the mean age of the sample was 35.9. Half of the sample (52.5%) was exposed to violence. The most common diagnosis was depression (54.2%), followed by PTSD (16.6%). Approximately 34% of the participants sought psychiatric care within 6 months of arrival. Logistic regressions showed that men had lower odds of presenting with depression (OR = 0.34). Patients with PTSD were more likely to be refugees (OR = 3.9) and not have a university degree (OR = 3.1). In the cluster analysis, a cluster of patients with PTSD included almost all Black refugee men exposed to violence. Most patients diagnosed with psychotic disorders were also Black refugee men. Conclusion: Immigrants and refugees represent a vulnerable group. The majority of the sample was Black, refugee men, who were also more likely to present with PTSD. Future studies are needed to better understand issues in treatment adherence in relation to socioeconomic characteristics.

The development and validation of a marginalization index for inpatient psychiatry

2020 ◽  
pp. 002076402095078
Author(s):  
Sebastian Rios ◽  
Samantha B Meyer ◽  
John Hirdes ◽  
Susan Elliott ◽  
Christopher M Perlman
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Roc Curve ◽  
Convergent Validity ◽  
Curve Analysis ◽  
Assessment System ◽  
Assessment Instrument ◽  
Roc Curve Analysis ◽  
Inpatient Psychiatry ◽  
And Cluster Analysis

Background: Marginalization is a multidimensional social construct that influences the mental health status of individuals and their use of psychiatric services. However, its conceptualization and measurement are challenging due to inconsistencies in definitions, and the lack of standard data sources to measure this construct. Aims: To create an index for screening marginalization based on an existing comprehensive assessment system used in inpatient psychiatry. Method: Items anticipated to be indicative of marginalization were identified from the Resident Assessment Instrument-Mental Health (RAI-MH) that is used in all inpatient mental health beds in Ontario, Canada. Principal Component Analysis (PCA) and cluster analysis of these items was performed on a sample of 81,232 patients admitted into psychiatric care in Ontario between 1 January 2011 and 31 December 2016 to identify dimensions being measured. Various weights and scoring methods were tested to assess convergent validity on multiple outcomes of marginalization. Receiver Operating Characteristic (ROC) curve analysis was utilized to determine optimal cut-offs for the index by modeling the likelihood of different marginalization outcomes, including homelessness. Results: Fifteen items were identified for the development of the Marginalization Index (MI). PCA and cluster analysis identified that the items measured five dimensions. ROC curve analysis among homeless individuals identified an Area Under the Curve of 0.76 and an optimal cut-off of five on the MI. Frequency analysis of the index by different characteristics identified homeless individuals, frequent mental health service users, persons with a history of violence and police intervention, and persons with addictions issues, as groups with the highest scores, confirming the convergent validity of the index. Conclusion: The MI is a valid measure of marginalization and is strong predictor of risk of homelessness among psychiatric inpatients. MI provides a resource that can be used for social and health policy, decision-support and evaluation.

Representation of HIV/Aids and Mental Health Co-Morbidity in Medical and Social Sciences Literature

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
R. Balzano ◽  
D. Sepio ◽  
M. Guidi ◽  
V. Puro ◽  
E. Girardi ◽  
...  
Keyword(s):  
Social Sciences ◽  
Mental Health ◽  
Cluster Analysis ◽  
Organizational Development ◽  
Care Service ◽  
Health Planning ◽  
Health Care Service ◽  
Pubmed Database ◽  
Co Morbidity ◽  
Hiv Aids

Introduction:Aim of this article is to explore the ways in which, over the last 25 years, knowledge about HIV/Aids and Mental Health co-morbidity has been represented within medical and social sciences literature.Methods:The study has been conducted on the texts of 1101 published manuscripts abstracts within from 1984 to 2008, referring to 379 different journals and retrieved on PUBMED database. It was used the following database search string: ("mental health"[Title/Abstract]) or ("mental illness"[Title/Abstract]) AND (("aids"[Title/Abstract]) or ("hiv"[Title/Abstract]))). A Computer Aided Text Analysis was conducted with dedicated software: T-Lab (Lancia) using Cluster Analysis.Results:Cluster Analysis allowed to identify five different main dimensions: 1:(27,68%) Health-care Service organizational development; 2: (22,10%) Mental health as empowering precursor of infection risks. 3: (8,58%) Quality of life; 4: (19,17%). Therapies and treatments’ research; 5: (22,46%) Psychological issues, emotions and distress correlated to seropositive patients and their caregivers. Figure 1 it is a way to outline the five clusters literature trends over the time of 25 years.Conclusions:Our review could help to identify particular areas in need of change, to provide a baseline against which to assess future changes and to provide data for use in research health planning and policy analysis.

Family Needs in Child Neglect Cases: A Cluster Analysis

2009 ◽  
Vol 90 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Ruth M. Chambers ◽  
Cathryn C. Potter
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Cluster Analysis ◽  
Child Neglect ◽  
Family Needs ◽  
Case Record ◽  
Step Down ◽  
Parental Family ◽  
And Cluster Analysis ◽  
Record Review

Whereas research has identified risk factors for neglect, there has been little attention to examining subgroups of neglecting families. The purpose of this study was to see what types of parental, family, and poverty-related needs were present in child neglect cases and to determine if coherent clusters of needs could be identified. A case record review of 160 substantiated child neglect cases from a public child welfare agency were reviewed, and cluster analysis with step-down bivariate analyses was used to determine groupings. Results revealed three distinct subgroups of family needs: low needs, substance abuse, and economic/domestic violence/mental health. The need for integration of interventions for these subgroups, and potential directions for such integration, are discussed.

scholarly journals Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study

10.2196/10032 ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. e10032 ◽  
Author(s):  
Fay Cobb Payton ◽  
Lynette Kvasny Yarger ◽  
Anthony Thomas Pinter
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
College Students ◽  
Cluster Analysis ◽  
Mental Health Services ◽  
Health Services ◽  
Student Services ◽  
Higher Education Institutions ◽  
Health Concerns ◽  
Mental Health Concerns

Background A growing number of college students are experiencing personal circumstances or encountering situations that feel overwhelming and negatively affect their academic studies and other aspects of life on campus. To meet this growing demand for counseling services, US colleges and universities are offering a growing variety of mental health services that provide support and services to students in distress. Objective In this study, we explore mental health issues impacting college students using a corpus of news articles, foundation reports, and media stories. Mental health concerns within this population have been on the rise. Uncovering the most salient themes articulated in current news and literature reports can better enable higher education institutions to provide health services to its students. Methods We used SAS Text Miner to analyze 165 references that were published from 2010 to 2015 and focused on mental health among college students. Key clusters were identified to reveal the themes that were most significant to the topic. Results The final cluster analysis yielded six themes in students’ mental health experiences in higher education (ie, age, race, crime, student services, aftermath, victim). Two themes, increasing demand for student services provided by campus counseling centers (113/165, 68.5%) and the increased mental health risks faced by racial and ethnic minorities (30/165, 18.2%), dominated the discourse. Conclusions Higher education institutions are actively engaged in extending mental health services and offering targeted outreach to students of color. Cluster analysis identified that institutions are devoting more and innovative resources in response to the growing number students who experience mental health concerns. However, there is a need to focus on proactive approaches to mitigate the causes of mental health and the aftermath of a negative experience, particularly violence and sexual assault. Such strategies can potentially influence how students navigate their health information seeking and how information and communication technologies, including mobile apps, can partially address the needs of college students.

scholarly journals Clinical and psychological factors for criminal aggression

2017 ◽  
Vol 7 (4) ◽  
pp. 44-58 ◽  
Author(s):  
F.S. Safuanov ◽  
A.S. Kalashnikova ◽  
A.E. Carkov
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Mental Disorders ◽  
Psychological Factors ◽  
Three Dimensional ◽  
Situational Factors ◽  
Personal Factors ◽  
Violent Crimes ◽  
Psychiatric Examination ◽  
Empirical Material

The article substantiates approach to the study of crime of aggression, taking into account the analysis of the behavior principles of interaction of personal and situational factors; interaction of aggressive and antiaggressive personal factors. Three-dimensional typology of crime of aggression formed three axles: high – low aggressiveness; formation – aborted personal aggression inhibitors; neutral – a legally significant traumatic situation. This typology has been verified on the basis of empirical material, including 329 people (257 males and 72 women aged 18 to 70 years) charged with violent crimes. All of the defendants (33 % mental health 67 % – with a variety of mental disorders not excluding sanity) were examined in the production of a comprehensive forensic psychological and psychiatric examination. A cluster analysis of the subjects (Ward's method) showed the validity of the choice of three bases of a typology of criminal aggression. The most powerful discriminator of types of aggression were personal inhibitors of aggression, less severe factors of high aggressiveness and characteristics of the situation. Identified correlations between various mental disorders and types of aggression.

End-of-Life Activities Among Community-Dwelling Older Adults in Japan

2019 ◽  
pp. 003022281985492 ◽  
Author(s):  
Miho Tanaka ◽  
Masami Takahashi ◽  
Daisuke Kawashima
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Cluster Analysis ◽  
End Of Life ◽  
Community Dwelling ◽  
Fear Of Death ◽  
Attitudes Toward Death ◽  
Japanese Older Adults ◽  
Eol Care ◽  
Community Dwelling Older Adults

This study explored end-of-life (EOL) activities among community-dwelling Japanese older adults and the relationships between EOL activities and related variables. One hundred twenty-three older adults (38 men, 87 women; mean age = 72.54 years) who attended EOL seminars were surveyed regarding EOL activities, attitudes toward death, and mental health status. Cluster analysis of EOL activities revealed three clusters: Planning (e.g., had planned own funeral arrangements), Preference (e.g., had talked about EOL care with their family), and Preparation (e.g., already written their will). The number of EOL-related events attended was positively correlated with Preparation, while fear of death was negatively associated with Preference. Older adults with bereavement experience had higher Planning and Preparation scores than those without such experience.

scholarly journals Four Wellbeing Patterns and their Antecedents in Millennials at Work

2018 ◽  
Vol 16 (1) ◽  
pp. 25 ◽  
Author(s):  
Tariku Abdi ◽  
José Peiró ◽  
Yarid Ayala ◽  
Salvatore Zappalà
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Role Conflict ◽  
Role Ambiguity ◽  
Analysis Procedure ◽  
Role Overload

Literature suggests that job satisfaction and health are related to each other in a synergic way. However, this might not always be the case, and they may present misaligned relationships. Considering job satisfaction and mental health as indicators of wellbeing at work, we aim to identify four patterns (i.e., satisfied-healthy, unsatisfied-unhealthy, satisfied-unhealthy, and unsatisfied-healthy) and some of their antecedents. In a sample of 783 young Spanish employees, a two-step cluster analysis procedure showed that the unsatisfied-unhealthy pattern was the most frequent (33%), followed by unsatisfied-healthy (26.6%), satisfied-unhealthy (24.8%) and, finally, the satisfied-healthy pattern (14.3%). Moreover, as hypothesized, discriminant analysis suggests that higher levels of job importance and lower levels of role ambiguity mainly differentiate the satisfied-healthy pattern, whereas overqualification and role overload differentiate, respectively, the unsatisfied-healthy and satisfied-unhealthy patterns. Contrary to our expectations, role conflict also characterizes the satisfied-unhealthy pattern. We discuss the practical and theoretical implications of these findings.

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