Treffer: Soft computing analysis of the factors associated with stress, anxiety, and depression.

Title:
Soft computing analysis of the factors associated with stress, anxiety, and depression.
Authors:
Alharbe NR; College of Computer Science, and Engineering, Department of Artificial Intelligence and Data Science, Taibah University, Madinah, Saudi Arabia. nrharbe@taibahu.edu.sa.
Source:
BMC public health [BMC Public Health] 2025 Apr 15; Vol. 25 (1), pp. 1415. Date of Electronic Publication: 2025 Apr 15.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE
Imprint Name(s):
Original Publication: London : BioMed Central, [2001-
MeSH Terms:
Anxiety*/etiology , Anxiety*/prevention & control , Stress, Psychological*/etiology , Depression*/etiology , Depression*/prevention & control, Humans ; Fuzzy Logic ; Soft Computing
References:
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Contributed Indexing:
Keywords: Anxiety; Depression; Fuzzy AHP; Mental health; Risk analysis; Stress
Entry Date(s):
Date Created: 20250415 Date Completed: 20250416 Latest Revision: 20250419
Update Code:
20250419
PubMed Central ID:
PMC11998368
DOI:
10.1186/s12889-025-22635-1
PMID:
40234799
Database:
MEDLINE

Weitere Informationen

Stress, Anxiety, and Depression (SAD) are pervasive mental health issues that have substantial impacts on individual and societal well-being. This paper identifies eight key factors of SAD, workplace pressure to poor sleep quality ( INLINEMATH - INLINEMATH ), and explores six targeted interventions ( INLINEMATH to INLINEMATH ) designed to mitigate these effects. Among these causes, poor sleep and chronic fatigue are emphasized for their profound impact on mental health, as they disrupt emotional resilience and cognitive functioning. By utilizing the fuzzy analytic hierarchy process (F-AHP), systematically analyze and prioritize these causes and interventions to identify the most effective strategies for SAD prevention and management. The analysis highlights adequate sleep as a crucial intervention to address poor sleep quality, underscoring its role in stabilizing mood and reducing SAD symptoms. This paper advocate's structured sleep hygiene as a central preventive measure within mental health frameworks, promoting resilience and improved quality of life. These findings reinforce the importance of prioritizing sleep alongside other interventions to address the complex network of factors contributing to SAD.
(© 2025. The Author(s).)

Declarations. Ethics approval and consent to participate: Not applicable. This study did not involve human participants, animals, or data requiring ethical approval. Consent for publication: Not applicable. This study does not include data or images that require consent for publication. Competing interests: The authors declare no competing interests.