Factors associated with trait anger level of juvenile offenders in Hubei province: A binary logistic regression analysis

Tang, Lu; Ye, Xiao-zhou; Yan, Qiuge; Chang, Hongjuan; Ma, Yuqiao; Liu, Debin; Li, Zhi-gen; Yu, Yizhen

doi:10.1007/s11596-017-1688-x

Cited by 5 publications

(11 citation statements)

References 8 publications

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“…Hence, neglect may lead to disorganized attachment, rejection sensitivity, and impaired emotion regulation, 51 which is linked to symptoms of borderline personality disorder (BPD), among others 52 . The negative impact of emotional abuse and neglect on anger was also found in previous studies 11–13,21 . While neglect may result in difficulties in the regulation of emotions, physical abuse may result in hypervigilance to threat.…”

Section: Discussionmentioning

confidence: 93%

“…Cross‐sectional studies that took into account a broad spectrum of childhood adversities found significant associations between CT, on the one hand, and anger in adulthood, on the other hand, including a dose–response relationship 11–14 . To identify predictors of anger, it is relevant to distinguish the subjective experience and the (physical) expression of anger 15 .…”

Section: Introductionmentioning

confidence: 99%

“…9,10 Cross-sectional studies that took into account a broad spectrum of childhood adversities found significant associations between CT, on the one hand, and anger in adulthood, on the other hand, including a dose-response relationship. [11][12][13][14] To identify predictors of anger, it is relevant to distinguish the subjective experience and the (physical) expression of anger. 15 Another distinction is that between state versus trait anger and aggression, which is of importance to determine whether a construct is rather constant or fluctuates over time within a person.…”

Section: Introductionmentioning

confidence: 99%

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Childhood trauma and anger in adults with and without depressive and anxiety disorders

Bles

Putz

Ottenheim

et al. 2023

Acta Psychiatr Scand

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BackgroundChildhood trauma (CT) is associated with severe sequelae, including stress‐related mental health disorders that can perpetuate long into adulthood. A key mechanism in this relationship seems to be emotion regulation. We aimed to investigate (1) whether childhood trauma is associated with anger in adulthood, and, if so, (2) to explore which types of childhood trauma predominate in the prediction of anger in a cohort that included participants with and without current affective disorders.MethodsIn the Netherlands Study of Depression and Anxiety (NESDA), childhood trauma was assessed with a semi‐structured Childhood Trauma Interview (CTI) at baseline, and analyzed in relation to anger as measured at a 4‐year follow‐up with the Spielberger Trait Anger Subscale (STAS), the Anger Attacks Questionnaire, and cluster B personality traits (i.e., borderline, antisocial) of the Personality Disorder Questionnaire 4 (PDQ‐4), using analysis of covariance (ANCOVA) and multivariable logistic regression analyses. Post hoc analyses comprised cross‐sectional regression analyses, using the Childhood Trauma Questionnaire‐Short Form (CTQ‐SF) also obtained at a 4‐year follow‐up.ResultsParticipants (n = 2271) were on average 42.1 years (SD = 13.1), and 66.2% were female. Childhood trauma showed a dose–response association with all anger constructs. All types of childhood trauma were significantly associated with borderline personality traits, independently of depression and anxiety. Additionally, all types of childhood trauma except for sexual abuse were associated with higher levels of trait anger, and a higher prevalence of anger attacks and antisocial personality traits in adulthood. Cross‐sectionally, the effect sizes were larger compared with the analyses with the childhood trauma measured 4 years prior to the anger measures.ConclusionsChildhood trauma is linked with anger in adulthood, which could be of particular interest in the context of psychopathology. Focus on childhood traumatic experiences and adulthood anger may help to enhance the effectiveness of treatment for patients with depressive and anxiety disorders. Trauma‐focused interventions should be implemented when appropriate.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Childhood trauma and anger in adults with and without depressive and anxiety disorders

Bles

Putz

Ottenheim

et al. 2023

Acta Psychiatr Scand

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“…Besides, a further complicating issue is that subjects who develop mood disorders are often victims of sexual/physical abuse and parental neglect during childhood [16]. Such traumatic experiences have been associated, on one hand, to anger and irritability [17,18]; on the other, to suicidal ideation and behavior [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Irritable Mood and Subthreshold Hypomanic Episodes Correlate with More Severe Major Depression

Serretti

Ronchi

Olgiati³

2021

Neuropsychobiology

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Introduction: Irritable mood (IM) and subthreshold hypomanic symptoms are reported in half and two-fifths of major depressed subjects respectively, but their clinical and prognostic meanings remain unclear. The aim of this study was to test the clinical usefulness of 2 specifiers in DSM-IV major depressive disorder (MDD): IM occurring during an index episode (IM+) and lifetime episodes of elated mood or IM with at least 2 concurrent hypomanic symptoms (subthreshold hypomanic episodes [SHEs]). Method: We included 482 outpatients with MDD participating in the Combining Medications to Enhance Depression Outcome study (mean age 43.14 ± 12.46 years, 144 males – 30%). The main aim of the original study was to test whether 2 different medications when given in combination as the first treatment step, compared to 1 medication, would improve antidepressant response. Results: IM + subjects (N = 349; 70%) were younger and more often females, with a more severe depression, a more marked social impairment, and more psychiatric comorbidities. The IM + group was also characterized by higher levels of suicidal ideation and more cases of emotional abuse. The combination of IM+ and SHEs was associated with an even more severe clinical picture. Limitations include the post hoc method, incomplete assessment of bipolar validators (e.g., family history of bipolar illness), personality disorders and suicide attempts. Conclusions: The presence of IM and SHEs in MDD correlate with an overall more severe clinical condition.

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“…Van Smeden et al (2016) have used BLR in medical research. Tang et al (2017) have investigated risk factors of high trait anger of juvenile offenders by using BLR. Kanbayashi et al (2017) applied BLR for identifying and forecasting the risk factors for Varicella Zoster and Post Herpetic Neuralgia (PHN) after Hematopoietic Stem Cell Transplantation (HSCT).…”

Section: Introductionmentioning

confidence: 99%

A fuzzy DEMATEL – Fuzzy Binary Logistic Regression approach to evaluate and prioritize risks and simulated annealing optimization algorithm (an empirical study in energy projects)

Hashemi

Kamranrad

Bagheri

et al. 2020

IJMPB

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PurposeThe aim of this paper is to predict and minimize the risks of oil, gas and petrochemical projects. Besides, reducing the likelihood of occurrence and minimizing risks impact on the projects to reduce the probable costs and improve the economic situation is another purpose of this paper.Design/methodology/approachThis paper provides a fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) – a technique that assist to solve decision-making problems – and IP (Impact & Probability) table methods to identify and analyze critical risks in energy projects, and then fuzzy Binary Logistic Regression (BLR) in order to predict the probability of each level of risk for more efficient risk management in projects. Furthermore, in this paper, the fuzzy BLR (FBLR) is optimized such that the probability of a high level of risk for the implementation of the project has been minimized using meta-heuristic algorithm.FindingsThe results from the point of view of experts show that combination of fuzzy DEMATEL with FBLR approach as well as using SA algorithm, in order to optimize the high level of risks, can provide a smart approach to managing risks with more success.Practical implicationsThe application of the proposed method is illustrated via a real data set from energy projects.Originality/valueWe propose combined fuzzy DEMATEL and FBLR methods to predict and optimize the risks of the energy projects, which is the innovation of this paper.

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Factors associated with trait anger level of juvenile offenders in Hubei province: A binary logistic regression analysis

Cited by 5 publications

References 8 publications

Childhood trauma and anger in adults with and without depressive and anxiety disorders

Childhood trauma and anger in adults with and without depressive and anxiety disorders

Irritable Mood and Subthreshold Hypomanic Episodes Correlate with More Severe Major Depression

A fuzzy DEMATEL – Fuzzy Binary Logistic Regression approach to evaluate and prioritize risks and simulated annealing optimization algorithm (an empirical study in energy projects)

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