Objectives: According to the National Health Portal, brain cancer is witnessing an upward curve in India. The reports by medical professionals suggest that brain tumours will become the second most common cancer by 2030. Any life-threatening illness not only impacts the physical well-being of the patient but also affects the mental well-being of the patient. As an interdisciplinary field, psychology aims to understand the psychosocial components of an illness that goes beyond the realm of medical treatments. Hence, the present study focused on two psychological constructs, namely Pain Catastrophising and Fear of Personal Death. The present research aims to evaluate the relationship between Pain Catastrophising and Fear of Personal Death as well as assess the predictive role of Pain Catastrophising for Fear of Personal Death.

Materials And Methods: A correlational design was adopted for the present study. The sample consisted of 180 patients who were diagnosed with a brain tumour and were scheduled for surgery for the removal of the tumour. A purposive sampling technique was used for the selection of the sample. Data were collected on two psychological measures, namely the Pain Catastrophising Scale and the Fear of Personal Death Scale. Pearson's product-moment method and regression analysis were employed for statistical analysis.

Results: The findings highlight that there exists a positive association between the two components of Pain Catastrophising, namely Magnification (r = 0.644, < 0.01) and Helplessness (r = 0.456, < 0.01) with the Fear of Personal death. Rumination (0.026, > 0.05) component exhibited no association with Fear of Personal Death. Linear regression analysis reveals that magnification (R = 0.644, R2 = 0.414, F = 125.861, < 0.01) and helplessness (R = 0.456, R2 = 0.208, F = 46.857, < 0.01) are significant predictors of Fear of Personal Death for the selected sample.

Conclusion: Pain Catastrophising tendencies and feelings of Fear of Personal Death are prevalent amongst the selected cohort. Pain-catastrophising components are significantly associated with fear of personal death (FPD) and are also significant predictors of FPD amongst brain tumour patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11866698PMC
http://dx.doi.org/10.25259/IJPC_182_2024DOI Listing

Publication Analysis

Top Keywords

fear personal
40
personal death
36
pain catastrophising
28
brain tumour
12
catastrophising fear
12
fear
10
personal
10
death
9
role pain
8
tumour patients
8

Similar Publications

Integrating generative artificial intelligence in a writing intensive course for undergraduate nursing students.

J Prof Nurs

March 2025

University at Buffalo School of Nursing, 3435 Main St. (Wende Hall), Buffalo, NY 14214, United States of America; Farmingdale State College Department of Nursing, 2350 Broadhollow Rd. (Gleeson Hall), Farmingdale, NY 11735, United States of America. Electronic address:

While generative artificial intelligence (AI) has been around for many years, it has only recently become available for use by the public. This powerful resource has changed the landscape for higher education and many instructors fear the negative effects it can have on academic integrity and student creativity in the writing process. However, it is certain that AI is here to stay, and it is crucial that educators embrace this technology and teach students to use this resource carefully and wisely.

View Article and Find Full Text PDF

Informed consent in surgical settings requires not only the accurate communication of medical information but also the establishment of trust through empathic engagement. The use of large language models (LLMs) offers a novel opportunity to enhance the informed consent process by combining advanced information retrieval capabilities with simulated emotional responsiveness. However, the ethical implications of simulated empathy raise concerns about patient autonomy, trust and transparency.

View Article and Find Full Text PDF

The role of emotions reported in the emergency department in four-month chronic pain development: Effects of sadness and anger.

Am J Emerg Med

February 2025

Adult Emergency Department - SAMU, Hôpital. Pellegrin, Bordeaux University Hospital INSERM 1219, AHeaD team, Bordeaux Population Health Research Centre, Bordeaux University - ISPED, F-33076 Bordeaux Cedex, France. Electronic address:

Objective: This study aims to assess whether the emotions experienced during an urgent health problem represent risk factors for developing chronic pain.

Method: A pain study was carried out as part of a randomized multicentre study on the prevention of post-concussion syndrome and post-traumatic stress syndrome (SOFTER) following emergency hospitalisation. Nine hundred and fourteen patients not suffering from chronic pain at admission provided information on the presence and intensity of eight emotions (anger, fear, regret, sadness, relief, contentment, joy, and interest) during their stay at the emergency department.

View Article and Find Full Text PDF

Aims And Objectives: The study aimed to determine the fear, pain, and anxiety levels of children aged 7-18 years before and after enema.

Method: This descriptive and cross-sectional study was conducted between January 8 and May 3, 2024. STROBE guidelines were followed in the study.

View Article and Find Full Text PDF

Central emotion theories assume that during threatening and dangerous events the human face signals a prototypical, distinct, and universally recognized expression of fear which can be accurately decoded by conspecific perceivers. Due to the importance of fear expressions, an unusually large body of research has been dedicated to exploring their evolutionary origins, neurobiological mechanisms, and clinical significance. However, these studies typically utilize highly recognizable posed actor portrayals presumed to closely resemble the diagnostic physical appearance of real-life fearful faces.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!