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Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional
Jong-Ho Kim1,2,3, Hye-Sook Kim2, Jong-Hee Sohn2,4
1Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.
Medicina (Kaunas, Lithuania)
|February 26, 2025
Summary
Frequent analgesic use is linked to worse headache outcomes, including depression and anxiety. Personalized treatment strategies are crucial for managing headache patients effectively.
Area of Science:
- Neurology
- Psychiatry
- Data Science
Background:
- Headache research increasingly explores links between headache factors and psychological states.
- Statistical and machine learning models are used to predict these relationships for better management.
Purpose of the Study:
- To investigate the influence of various features on depression, anxiety, and headache intensity.
- To analyze patient data using machine learning and linear regression for headache management insights.
Main Methods:
- A mixed-methods approach analyzed data from 398 patients using medical records, interviews, and surveys.
- Machine learning models (Random Forest, Support Vector Regression) and linear regression were employed.
- Shapley values identified key features influencing outcomes like depression and anxiety.
Main Results:
- Frequent analgesic use predicted poorer quality of life, increased depression, and anxiety.
- Random Forest models showed significant impact of medication on Headache Impact Test-6, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7 scores.
- Challenges in interpreting complex models and establishing causality were noted.
Conclusions:
- Individual characteristics are vital for optimizing headache patient treatment strategies.
- The study highlights the impact of medication frequency on psychological well-being in headache sufferers.
