ArticleHealthcare (Basel, Switzerland)2021
Burnout, Attachment and Mentalization in Nursing Students and Nurse Professionals.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Factors related to the appearance and development of burnout in nursing students: a systematic review and meta-analysis.Frontiers in public health · 2023Pooled it
- The Invisibility of the Multiply Stigmatized Patient: Intersections of Ethnic Prejudice and Stigma of Chronic Disease in Medical Students.Journal of racial and ethnic health disparities · 2026Article
- Adult attachment profiles, death attitudes, and intention to remain in nursing among Chinese intern nursing students.Frontiers in medicine · 2026Article
- Understanding the connection: attachment patterns and interpersonal competence in nursing undergraduates.BMC nursing · 2025Article
- Student Burnout in Children and Adolescents: The Role of Attachment and Emotion Regulation.Children (Basel, Switzerland) · 2023Article
- Psychosocial Processes in Healthcare Workers: How Individuals' Perceptions of Interpersonal Communication Is Related to Patient Safety Threats and Higher-Quality Care.International journal of environmental research and public health · 2023Article
- Moral injury in a global health emergency: a validation study of the Italian version of the Moral Injury Events Scale adjusted to the healthcare setting.European journal of psychotraumatology · 2023Article
- The mediation effect analysis of nurse's mental health status and burnout under COVID-19 epidemic.Frontiers in public health · 2023Article
- Article
- Mentalizing partially mediates the association between attachment insecurity and global stress in preservice teachers.Frontiers in psychology · 2023Article
- Analysis of Strategies for Managing Stress by Polish Nurses during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background. In caretaking professions, attachment style and mentalization capacities are essential factors for establishing an effective caretaker-patient relationship and for buffering burnout. While attachment avoidance and dependency are considered risk factors for burnout, impairment in mentalization capacity is associated with psychological distress and ineffective emotion regulation. (2) Objective: Evaluating the attachment style and mentalization capacity in nurse professionals and nursing students. We further investigated the impact of these factors on burnout in professional nurses. (3) Method: 94 nursing students and 94 controls and 34 professional nurses completed the Attachment Style Questionnaire (ASQ) and the Reflective Functioning Questionnaire (RFQ). For professional nurses, the Maslach's Burnout Inventory (MBI) was also administered. (4) Results: Nursing students exhibited lower scores in secure attachment and higher scores in anxiety over relationships compared to controls while no difference in mentalization capacity was found between both groups. Importantly, attachment anxiety resulted a significant predictor of burnout in professional nurses. (5) Conclusions: Nursing students might compensate their attachment insecurity with high mentalization. Attachment security may play a protective role against burnout in the professional nurses. Education programs aimed at enhancing mentalizing abilities might facilitate nursing students' entrance in the forthcoming clinical environment and practice. Implementing training strategies based on attachment theory may contribute to burnout prevention in nurse professionals.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.