Search Results (277)

Background: Emotional abuse is both prevalent and underrecognized particularly in culturally complex settings like India. Adolescents, being in a critical developmental phase, are especially vulnerable to the long-lasting psychological effects of emotional abuse. This qualitative literature review aims to synthesize findings from primary studies that explore the lived experiences of emotional abuse among Indian adolescents and identify emerging patterns across sociocultural contexts. Method: Electronic databases, including DOAJ, Google Scholar, ProQuest, JSTOR, Pubmed, PsycNet, and SCOPUS, were searched for peer-reviewed articles published in English up to March 2025. Inclusion criteria comprised qualitative or mixed-methods research focusing on emotional abuse among adolescents aged 12–20 in Indian contexts. The Critical Appraisal Skills Programme (CASP) was used for quality assessment. Results: Five major thematic domains were identified across the included studies: (1) Family as a primary site of emotional abuse; (2) Gendered experiences of abuse; (3) Cultural normalization and silence; (4) Psychological and emotional consequences; and (5) Coping and resilience among adolescents. These themes reflect shared experiences of emotional abuse shaped by cultural, familial, and gender-based expectations. Conclusions: This review highlights the urgent need for increased awareness and culturally sensitive interventions addressing emotional abuse in Indian adolescents. The findings suggest that parents, educators, and policymakers must recognize emotionally harmful behaviors and implement prevention-oriented strategies, particularly through non-violent communication and adolescent mental health support frameworks. Full article

This study introduces and validates a novel instrument to measure aggressive gender backlash (AGB), a distinct and underexplored dimension of gender backlash (GB) within intimate partner relationships. Based on the General Aggression Model, a multidimensional scale was developed and tested using data from 513 Peruvian female microentrepreneurs. Results demonstrate solid evidence of reliability, discriminant validity, and predictive validity across five dimensions: hostility, the withdrawal of support, sabotage/coercion, gender stereotyping, and masculine victimization. The findings reveal that AGB is more prevalent than intimate partner violence against women (IPVAW) and often precedes it. AGB encompasses covert, non-violent behaviors that aim to resist female empowerment, such as emotional sabotage, manipulation, and disqualification, often normalized within relationships. This construct is significantly associated with lower levels of empowerment, increased subordination, emotional morbidity, and decreased work productivity. This study redefines GB as an interpersonal process measurable at the individual level and provides the first validated tool for its assessment. By conceptualizing AGB as a persistent, harmful, and functionally equivalent mechanism to IPVAW, though not necessarily physically violent, this research fills a key gap in gender violence literature. It offers practical implications for early detection and prevention strategies. Full article

The rapid development of online media has significantly facilitated the public’s information consumption, knowledge acquisition, and opinion exchange. However, it has also led to more violent conflicts in online discussions. Therefore, controversy detection becomes important for computational and social sciences. Previous research on detection methods has primarily focused on larger datasets and more complex computational models but has rarely examined the underlying mechanisms of conflict, particularly the psychological motivations behind them. In this paper, we propose a lightweight and language-independent method for controversy detection by introducing two novel psychological features: ascending gradient (AG) and tier ascending gradient (TAG). These features capture psychological signals in user interactions—specifically, the patterns where controversial comments generate disproportionate replies or replies outperform parent comments in likes. We develop these features based on the theory of the backfire effect in ideological conflict and demonstrate their consistent effectiveness across models and platforms. Compared with structural, interaction, and text-based features, AG and TAG show higher importance scores and better generalizability. Extensive experiments on Chinese and English platforms (Reddit, Toutiao, and Sina) confirm the robustness of our features across languages and algorithms. Moreover, the features exhibit strong performance even when applied to early-stage data or limited “one-page” scenarios, supporting their utility for early controversy detection. Our work highlights a new psychological perspective on conflict behavior in online discussions and bridges behavioral patterns and computational modeling. Full article

Affective–sexual education programs (ASEPs) are effective in combating gender violence (GV). Most previous studies have focused on the short-term effect these programs have on explicit sexist attitudes. The objective of this study was to analyze the short- and medium-term effect of an ASEP regarding sexist attitudes. An educational intervention study was carried out on 561 high school students in Tenerife (Spain). The 15 h intervention used a participatory methodology with debates, working groups, and game dynamics. Explicit attitudes were measured with the scale of sexist, violent, and stereotyped attitudes (SVSAs) and the gender role attitudes scale (GRAS), and implicit attitudes were measured with the assessment of the behavior of the characters of a brief tailored story, in which an interaction between two young people with an ambiguous component of gender violence is described. Four measurements were made: pre-intervention, post-intervention, 6 months, and 12 months. After the intervention, in the experimental group, scale scores decreased (SVSA from 28.7 ± 7.7 to 21.8 ± 2.1, p < 0.0001; GRAS from 30.6 ± 7.8 to 22.3 ± 2.8, p < 0.0001), and the level of approval of the behavior of the female character of the story improved (from 5.4 ± 2.6 to 7.6 ± 2.1, p < 0.0001). The effect of the intervention on sexist attitudes was maintained until the end of the 12-month follow-up period. Full article

This study aims to analyze maladaptive schemas through the Young Schema Questionnaire—Short Form 3 among 895 high school students, with an average age of 18.15 years, in relation to the potentially traumatic experience of being the victim of violence inflicted by family members through hitting and beating and in connection with violent behavior (in and outside school). Almost half of the students reported that, in their families, there were prolonged problems in the couple relationship of their parents/caregivers, and almost 40% of these students were involved from time to time in at least one form of violence in or outside school, with the highest share of this violence resulting from physical aggression by hitting and pushing and verbal or emotional abuse. A factor analysis was performed using a unifactorial model and a mediation model, and it indicated that the presence of trauma increases the total violence score. A higher violence score was recorded in students who were subjected to family violence (t(890) = −6.267, p < 0.001). The schemas that proved to be the most relevant for the violence factor were those of Punitiveness (PU: 0.89) and Mistrust/Abuse (MA: 0.77), followed by the schemas of Emotional Inhibition (EI: 0.68), Unrelenting Standards/Hypercriticalness (US: 0.63), and Entitlement/Grandiosity (ET: 0.58). The mediation that the Punitiveness schema achieves between victimization in the family and subsequent aggressive behavior is based on the internalization of the punitive parental figure and the victim’s development of the belief that violence is the only answer when others do not meet their expectations. Full article

Background/Objectives: Conduct Disorder (CD) involves persistent behavior violating societal norms and others’ rights. A subgroup of adolescents with CD exhibits callous–unemotional (CU) traits, which are linked to severe antisocial behavior and poorer long-term outcomes. Research suggests parenting plays an important role in the development of CU traits. However, few studies have explored the role of maternal and paternal parenting practices mediating the link between CU traits and violence within the same study. Methods: This study included 222 adolescents with Conduct Disorder (M_age = 15.7, 68% male) and examined whether perceived parental warmth and hostility, measured using the Quality of Parental Relationships, mediated the association between callous–unemotional (CU) traits and youth involvement in violent crime and gun violence, assessed via the Violent Crime Assessment and Gun Violence Questionnaire. Results: Double mediation models showed that only maternal hostility mediated the link between CU traits and violence, while maternal warmth and paternal parenting practices did not. Conclusions: Findings emphasize the role of maternal hostility in exacerbating violence, including gun violence, among adolescents with CD and CU traits. Full article

(1) Background: Traumatic brain injury (TBI) is caused from rapid head acceleration/deceleration, focal blows, blasts, penetrating forces, and/or shearing forces, whereas hypoxic–anoxic injury (HAI) is caused through oxygen deprivation events, including strangulation. Most service-seeking domestic violence (DV) survivors have prior mechanistic exposures that can lead to both injuries. At the time of our study, some evidence existed about the exposure to both injuries over the course of a survivor’s lifetime from abuse sources, yet little was known about their co-occurrence to the same survivor within the same episode of physical intimate partner violence (IPV). To better understand the lived experience of service-seeking DV survivors and the context in which partner-inflicted brain injury (PIBI) is sustained, we sought to understand intentional brain injury (BI) exposures that may need to be addressed and accommodated in services. Our aims were to 1. characterize the lifetime co-occurrence of strangulation and intentional head trauma exposures from all abuse sources to the same survivor and within select physical episodes of IPV and 2. establish the lifetime prevalence of PIBI. (2) Methods: Survivors seeking DV services in the state of Ohio in the United States of America (U.S.) completed interview-administered surveys in 2019 (n = 47). Community-based participatory action approaches guided all aspects of the study development, implementation, and interpretation. (3) Results: The sample was primarily women. Over 40% reported having Medicaid, the government-provided health insurance for the poor. Half had less than a postsecondary education. Over 80% of participants presented to DV services with both intentional head trauma and strangulation exposures across their lifetime from intimate partners and other abuse sources (i.e., child abuse, family violence, peer violence, sexual assault, etc.), though not always experienced at the same time. Nearly 50% reported an experience of concurrent head trauma and strangulation in either the first or last physical IPV episode. Following a partner’s attack, just over 60% reported ever having blacked out or lost consciousness—44% experienced a loss of consciousness (LOC) more than once—indicating a conservative estimate of a probable brain injury by an intimate partner. Over 80% of service-seeking DV survivors reported either a LOC or two or more alterations in consciousness (AICs) following an IPV attack and were classified as ever having a partner-inflicted brain injury. (4) Conclusions: Most service-seeking IPV survivors experience repetitive and concurrent exposures to abusive strangulation and head trauma through the life course and by intimate partners within the same violent event resulting in brain injury. We propose the use of the term partner-inflicted brain injury (PIBI) to describe the physiological disruption of normal brain functions caused by intentional, often concurrent and repeated, traumatic and hypoxic neurologic insults by an intimate partner within the context of ongoing psychological trauma, coercive control, and often past abuse exposures that could also result in chronic brain injury. We discuss CARE (Connect, Acknowledge, Respond, Evaluate), a brain-injury-aware enhancement to service delivery. CARE improved trauma-informed practices at organizations serving DV survivors because staff felt knowledgeable to address and accommodate brain injuries. Survivor behavior was then interpreted by staff as a “can’t” not a “won’t”, and social and functional supports were offered. Full article

Energetic structural materials (ESMs) are widely studied due to their high energy density, which enhances their potential in various industrial and engineering applications, such as in energy absorption systems, safety devices, and structural components that need to withstand dynamic loading. A high-strength WMoZrNiFe energetic structural material was prepared, and its mechanical properties and ignition behavior under dynamic loading were studied. Using the split-Hopkinson pressure bar (SHPB) experimental device, samples with different initial tilt angles of 0°, 30°, and 45° were dynamically loaded. The influence of the sample tilt angle on the ignition threshold was analyzed. The dynamic mechanical properties, failure modes, and ignition threshold based on the energy absorption of the WMoZrNiFe energetic structural material during the dynamic loading process were obtained. The results show that the material has a strain rate effect in the range of 1000 s⁻¹~3000 s⁻¹. The yield strength of the sample with a tilt angle of 0° increased from 1468 MPa to 1837 MPa, that of the sample with a tilt angle of 30° increased from 982 MPa to 1053 MPa, and that of the sample with an inclination angle of 45° increased from 420 MPa to 812 MPa. Through EDS elemental analysis, the ignition reaction mechanism of the WMoZrNiFe energetic structural material under dynamic compression was obtained. The violent reaction of the material occurred after the material fractured, and the active elements reacted with oxygen in the air. Full article

Youth violence is a pressing social issue. Many well-informed interventions to reduce youth violence fail due to low uptake. Combat sports—such as boxing, judo, and mixed martial arts—appear to encourage aggression, making them appealing to individuals prone to violent behavior. However, rather than reinforcing violence, these sports instill discipline, goal-directed behavior, and self-control. This paper argues that combat sports align with the values of at-risk youth, increasing their participation, while simultaneously teaching them emotional regulation and resilience. I propose that structured combat training provides a sustainable intervention by fostering self-awareness, cognitive control, and respect within a rule-governed environment. Furthermore, training combat instructors in emotion regulation strategies could enhance these benefits. By providing motivation, capability, and opportunity, combat sports present a viable pathway to reducing violent behavior among youth. Full article

Background/Objectives: The use of coercive measures in psychiatry is an ethically controversial issue. Staff attitude towards coercive measures could explain the different application frequencies of coercive measures across psychiatric services. Methods: We analyzed the attitude towards coercion held by professionals working in a psychiatric department using the Staff Attitude to Coercion Scale (SACS). We statistically evaluated the correlation between the SACS score and the demographic and work characteristics of professionals. Results: The most represented category of participants was nurses (73.03%). Most professionals worked in a Mental Health Community Service (MHCS) (72.09%). We reported a score of 41.9 ± 8.8 SD in total SACS and high scores in two SACS factors: “Coercion as offending” and “Coercion as care and security”. Professionals working in Service for Psychiatric Diagnosis and Care (SPDC) showed reduced scores in total SACS and the SACS dimension “Coercion as offending” score. Place of work, particularly “working in SPDC”, was statistically significantly associated with total SACS in a positive way and with the “Coercion as offending” score in a negative way in our regression multivariate test. Conclusions: Our professionals showed a predominantly critical and pragmatic attitude towards coercive measures. The professionals who are more frequently exposed to violent and aggressive behavior, such as those who work in SPDC, showed a reduced critical attitude towards coercion in comparison with those working in MHCS, suggesting that exposure to violence can shape the response of professionals. Full article

With the rise of digital video technologies and the proliferation of processing methods and storage systems, video-surveillance systems have received increasing attention over the last decade. However, the spread of cameras installed in public and private spaces makes it more difficult for human operators to perform real-time analysis of the large amounts of data produced by surveillance systems. Due to the advancement of artificial intelligence methods, many automatic video analysis tasks like violence detection have been studied from a research perspective, and are even beginning to be commercialized in industrial solutions. Nevertheless, most of these solutions adopt centralized architectures with costly servers utilized to process streaming videos sent from different cameras. Centralized architectures do not present the ideal solution due to the high cost, processing time issues, and network bandwidth overhead. In this paper, we propose a lightweight autonomous system for the detection and geolocation of violent acts. Our proposed system, named LAVID, is based on a depthwise separable convolution model (DSCNN) combined with a bidirectional long-short-term memory network (BiLSTM) and implemented on a lightweight smart camera. We provide in this study a lightweight video-surveillance system consisting of low-cost autonomous smart cameras that are capable of detecting and identifying harmful behavior and geolocate violent acts that occur over a covered area in real-time. Our proposed system, implemented using Raspberry Pi boards, represents a cost-effective solution with interoperability features making it an ideal IoT solution to be integrated with other smart city infrastructure. Furthermore, our approach, implemented using optimized deep learning models and evaluated on several public datasets, has shown good results in term of accuracy compared to state of the art methods while optimizing reducing power and computational requirements. Full article

This study conducts a systematic literature review following the PRISMA framework and the guidelines of Kitchenham and Charters to analyze the application of Internet of Things (IoT) technologies and deep learning models in monitoring violent actions and criminal activities in smart cities. A total of 45 studies published between 2010 and 2024 were selected, revealing that most research, primarily from India and China, focuses on cybersecurity in IoT networks (76%), while fewer studies address the surveillance of physical violence and crime-related events (17%). Advanced neural network models, such as Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and hybrid approaches, have demonstrated high accuracy rates, averaging over 97.44%, in detecting suspicious behaviors. These models perform well in identifying anomalies in IoT security; however, they have primarily been tested in simulation environments (91% of analyzed studies), most of which incorporate real-world data. From a legal perspective, existing proposals mainly emphasize security and privacy. This study contributes to the development of smart cities by promoting IoT-based security methodologies that enhance surveillance and crime prevention in cities in developing countries. Full article

Background and Objectives: Alcohol consumption has been a longstanding public health concern and known link to violence. The aims of this study were to analyze alcohol-related homicide cases in Lithuania, focusing on the prevalence of binge drinking among perpetrators and victims, the situational and behavioral patterns leading to violence, and the legal outcomes of these cases. Materials and Methods: This study employed a retrospective analysis of court case law of criminal cases of the year 2019. The analysis was conducted by combining qualitative and quantitative analytical approaches. Results: The findings revealed that 84.6% of homicides occurred during binge drinking events. Alcohol intoxication was prevalent among both perpetrators (92.3%) and victims (86.5%), emphasizing the dual role of alcohol in homicide cases. Interpersonal violence was the primary pattern of homicide (78.8%), while planned homicides accounted for 21.2%. Thematic content analysis of the cases revealed that Lithuanian courts consistently regard alcohol consumption as an aggravating factor that contributes to the commission of violent crimes and influences the severity of criminal punishment. This reflects a judicial position that voluntary intoxication does not lessen legal responsibility, despite its effects on impairing judgment, heightening aggression and impulsivity, and escalating conflicts into deadly violence. Conclusions: Our findings revealed that the majority of alcohol-involved homicides occurred during binge drinking events, in a domestic environment, and because of unplanned acts of interpersonal violence. Targeted public health interventions should focus on strengthening alcohol control policies and enforcing stricter regulations to discourage binge drinking environments. Full article

This paper proposes a lightweight violent behavior recognition model, DualCascadeTSF-MobileNetV2, which is improved based on the temporal shift module and its subsequent research. By introducing the Dual Cascade Temporal Shift and Fusion module, the model further enhances the feature correlation ability in the time dimension and solves the problem of information sparsity caused by multiple temporal shifts. Meanwhile, the model incorporates the efficient lightweight structure of MobileNetV2, significantly reducing the number of parameters and computational complexity. Experiments were conducted on three public violent behavior datasets, Crowd Violence, RWF-2000, and Hockey Fights, to verify the performance of the model. The results show that it outperforms other classic models in terms of accuracy, computational speed, and memory size, especially among lightweight models. This research continues and expands on the previous achievements in the fields of TSM and lightweight network design, providing a new solution for real-time violent behavior recognition on edge devices. Full article

Exposure to violence is one of the most common adverse effects. In recent years, there has been a particular interest in understanding the link between exposure to violence and the perpetration of other forms of violence, such as child-to-parent violence, a complex family problem that severely affects the relationships between family members. Objective: We aimed to examine the mediating role of instrumental and reactive reasons in the relationship between exposure to violence and child-to-parent violence in different contexts. To fulfill this objective, it was necessary to analyze the evidence of validity and psychometric properties of the Violence Exposure Scale with Colombian adolescents. Methods: A total of 981 Colombian adolescents between aged 12 and 18 years participated. The participants responded to two psychometric scales: one on exposure to violence and the other on child-to-parent violence. Results: The Violence Exposure Scale presented an excellent psychometric model and evidence of adequate validity and reliability. Girls reported greater exposure to violence at home and boys reported greater exposure to violence at school and on the street. In general, older adolescents reported greater exposure to domestic violence. Instrumental and reactive reasons were significant predictors in the perpetuation of child-to-parent violence, with victimization in the home being the best predictor and reactive reasons the strongest mediating variables. Conclusions: Exposure to violence in the home is a key predictor; however, the co-occurrence of violence in other settings plays an important role in polyvictimization and predicting future violent behavior. Full article