Aggression is a global problem and complex social behavior. In Indonesia, some common manifestations of aggression are sexual harassment, domestic violence, and the stigmatization of other people. However, unlike men, aggression in women is still rarely studied, whereas facts find that many conditions can make women more vulnerable. There are various aspects related to biological, psychological, social, and cultural issues that can potentially provoke female aggression. Furthermore, mental health and aggression are often viewed as an automatic association and are inseparable in society, reinforcing the stigma against people with mental problems, particularly women, who tend to suffer more stigma of mental health issues than men. However, there has not yet been a study explicitly related to this relationship in the general population of women. The current study aims to examine the overall relationship between mental health and aggression in the extensive general population of Indonesian women with various mental conditions ranging from a normal mental state to severe mental health problems. This was a cross-sectional study conducted using uncontrolled quota sampling via distributing online self-report questionnaires, the modified Indonesian version instruments of the Brief Symptoms Rating Scale-5, and the Buss Aggression Scale with high internal consistency. This study among 203 women aged 19-67 in Indonesia, a multicultural nation and the fourth densest country in the world, proposes that mental health can be a predictor of aggressive behavior, with the influence of mental health on the aggression of women being 21.6% only. The finding indicates that mental health issues are not a macro contributing factor to women's aggressiveness in society and may help reduce stigma against women with mental health problems.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525866 | PMC |
http://dx.doi.org/10.3390/bs13090727 | DOI Listing |
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFJ Prim Care Community Health
January 2025
Instituto de Investigación Biomédica de Málaga, Málaga, Spain.
Aim: To investigate the detection and initial management of first psychotic episodes, as well as established schizophrenia, within the primary care of the Andalusian Health System.
Background: Delay in detecting and treating psychosis is associated with slower recovery, higher relapse risk, and poorer long-term outcomes. Often, psychotic episodes go unnoticed for years before a diagnosis is established.
Personal Disord
January 2025
Laboratoire sur les Interactions Cognition, Action, Émotion (LICAE), UFR STAPS, Universite Paris-Nanterre.
This study aimed to assess measurement invariance for the Five-Factor Inventory for (Oltmanns & Widiger, 2020) across nine national samples from four continents ( = 6,342), and to validate a French translation in seven French-speaking national samples. All were convenience samples of adults. Exploratory factor analyses supported a four-factor structure in the French-speaking Western samples (Belgium, Canada, France, and Switzerland) while a three-factor structure was preferred in the French-speaking African samples (Burkina Faso and Togo), and no adequate structure was found in the Indian sample.
View Article and Find Full Text PDFPersonal Disord
January 2025
Department of Psychological Science, Kent State University.
Antagonism is a personality domain located in most major trait models and is central to multiple personality disorders. This construct has been linked to many societally harmful externalizing behaviors (e.g.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!