Back to Search
Start Over
Understanding the Pathology of Major Depression in a Non-clinical Student Sample: The Role of Mental Pain, Cognitive Emotion Regulation, Self-Compassion, and Anxiety.
- Source :
- Shiraz E Medical Journal; Aug2024, Vol. 25 Issue 8, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Background: Severe psychological or mental pain is an experience of discomfort that can be associated with mental illness (such as major depression) or loss (such as the death of a child). Objectives: The aim of this study is to understand the pathology of major depression using a non-clinical student sample by assessing the roles of mental pain, cognitive emotion regulation, self-compassion, and anxiety. Methods: This cross-sectional study selected a sample (n = 300) using a multi-stage random cluster sampling method. Data was collected using the Orbach & Mikulincer Mental Pain Questionnaire (OMMP), the Cognitive Emotion Regulation Questionnaire (CERQ), the Self-Compassion Scale-Short Form (SCS-SF), the Beck Anxiety Inventory (BAI), and the Beck Depression Inventory-II (BD-II). Results: The results of the forward multiple linear regression model showed significant standardized beta coefficients for the following variables: Anxiety and depression (β = 0.21, P = 0.002), mental pain and depression (β = 0.436, P < 0.001), maladaptive cognitive emotion regulation strategies and depression (β = 0.21, P = 0.002), negative dimensions of self-compassion and depression (β = 0.082, p = 0.041), adaptive cognitive emotion regulation strategies and depression (β = -0.135, P = 0.031), and positive dimensions of self-compassion and depression (β = -0.078, P = 0.042). Additionally, the results indicated that 56% of the variance in depression is explained by mental pain, cognitive emotion regulation, self-compassion, and anxiety (P < 0.001). Conclusions: The results of this study indicate that therapies focused on emotional regulation and self-compassion can effectively address emotional problems, anxiety, and depression in individuals with depression. [ABSTRACT FROM AUTHOR]
- Subjects :
- MENTAL depression risk factors
RISK assessment
EMOTION regulation
PEARSON correlation (Statistics)
MENTAL health
RESEARCH funding
QUESTIONNAIRES
MULTIPLE regression analysis
STATISTICAL sampling
SELF-compassion
ANXIETY
DESCRIPTIVE statistics
INFERENTIAL statistics
CLUSTER sampling
DATA analysis software
MENTAL depression
COGNITION
REGRESSION analysis
Subjects
Details
- Language :
- English
- ISSN :
- 17351391
- Volume :
- 25
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Shiraz E Medical Journal
- Publication Type :
- Academic Journal
- Accession number :
- 178981818
- Full Text :
- https://doi.org/10.5812/semj-139102