scholarly journals Self-blame attributions in relatives of people with recent-onset psychosis: Associations with relatives’ distress and behavioural control

2017 ◽  
Vol 56 (2) ◽  
pp. 172-188 ◽  
Author(s):  
Debora Vasconcelos e Sa ◽  
Christine Barrowclough ◽  
Samantha Hartley ◽  
Alison Wearden
2018 ◽  
Author(s):  
Kadie M. Harry ◽  
Kymberley K. Bennett ◽  
Jacob M. Marszalek ◽  
Kalon R. Eways ◽  
Jillian M. R. Clark ◽  
...  

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Yadollah Jannati ◽  
Hamid Sharif Nia ◽  
Erika Sivarajan Froelicher ◽  
Amir Hossein Goudarzian ◽  
Ameneh Yaghoobzadeh

Introduction: Psychological aspects are important issues in patients that will have significant effects on disease progression. A new and important psychological concern is self-blame. This review was performed with the aim of systematic review on studies around patient’s self-blame.Methods: This is a systematic review using international databases including PubMed (since 1950), Scopus (since 2004), Web of Sciences (since 1900), and ProQuest (since 1938) and Iranian databases including SID (since 2004) and Magiran (since 2001). Mesh terms including “patient,” “regret,” and “guilt” and non-Mesh terms including “self-blame attribution,” “characterological self-blame,” “behavioral self-blame,” and “blame” were used in Iranian and international databases with OR and AND operators.Results: The review yielded 59 articles; 15 articles were included in the present study. The ages of patients ranged from 29-68.4 years. Most of studies (86.6%) had cross-sectional design and use characterological self-blame and behavioral self-blame variables for assessing self-blame attributions. The results showed that in most studies, a significant relationship among self-blame and psychological distress, anxiety, and depression were reported.Conclusion: A significant relation was reported between self-blaming and the degree of distress, anxiety, and depression in patients in most of the studies.


2013 ◽  
Author(s):  
Kymberley K. Bennett ◽  
Alisha D. Howarter ◽  
Jillian M. R. Clark

2013 ◽  
Vol 28 (6) ◽  
pp. 637-652 ◽  
Author(s):  
Kymberley K. Bennett ◽  
Alisha D. Howarter ◽  
Jillian M.R. Clark

2015 ◽  
Vol 31 (2) ◽  
pp. 552 ◽  
Author(s):  
David Cantón-Cortés ◽  
María Rosario Cortés

<p>Over the last few decade child sexual abuse (CSA) have provoked a great deal of interest, both among the scientific community and the society, due to its prevalence and short and long term consequences. Although most of the studies examining CSA sequelae list numerous psychological, social, behavioral and physical difficulties, certainly not every child abuse survivor shows a significant harm thereafter, existing a great variability on the survivor´s adjustment. In light of this diversity the present work, after review the short and long term consequences of CSA, attempt to discern which are the main variables that determine the effects of the abuse on the survivors. Characteristics of the abuse, survivor and perpetrator, situational factors and, specially, survivor´s cognitive variables have been proved as efficient in order to explain the symptomatology severity. Specifically, studies have found that replacing avoidance coping strategies by approaching ones, eliminating self-blame and family blame attributions and the four traumagenic dynamics feelings, as well as promoting a secure attachment style would have a positive impact in order to prevent future problems caused by the experience of abuse.</p>


2018 ◽  
Vol 5 (2) ◽  
pp. 205510291878686 ◽  
Author(s):  
Kadie M Harry ◽  
Kymberley K Bennett ◽  
Jacob M Marszalek ◽  
Kalon R Eways ◽  
Jillian MR Clark ◽  
...  

Patients with cardiovascular disease may attribute their cardiovascular disease to their behaviors (behavioral self-blame) or to their dispositions (characterological self-blame). However, findings are mixed on the effects of behavioral self-blame and characterological self-blame on health outcomes, possibly because there are no validated, multiple-item measures. This study developed and tested an 11-item Cardiac Self-Blame Attributions scale via questionnaire data from 121 patients with cardiovascular disease. Results yielded a two-factor structure that explained 65 percent of the variance, with good reliability and discriminant validity. Findings suggest that the scale is reliable and valid and can be used to understand the cardiac attributions patients create.


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