[An analysis of health related behavior using interpretive structural modeling]

Area of Science:

• Behavioral Science
• Systems Engineering
• Public Health

Context:

• Understanding health behaviors is crucial for adoption and maintenance of healthy practices.
• Theoretical models often lack practicality for real-world behavior patterns.
• Coping behaviors during illness, like fever from a common cold, present complex behavioral structures.

Purpose:

• To apply the Interpretive Structural Modeling (ISM) method to understand the actual patterns of health-related behaviors.
• To analyze the structural complexity of coping behaviors in simplified and complex scenarios.
• To evaluate the effectiveness of ISM in enhancing cognition of health behavior hierarchies.

Summary:

• The Interpretive Structural Modeling (ISM) method was used to model health-related behaviors, specifically coping mechanisms for common cold-induced fever.
• In a simplified scenario with eight elementary behaviors, 30 public health nursing students' behavioral sequences were analyzed using ISM, revealing three main structural types: simple linear, one junction, and multiple junctions.
• Over 80% of participants found ISM effective in understanding the hierarchical structure of health behaviors.

Impact:

• ISM provides a practical tool for analyzing and understanding the complex structures of individual health behaviors.
• The study demonstrates the utility of ISM in visualizing and classifying behavioral patterns, aiding in health behavior research.
• Findings suggest ISM can improve comprehension of health behavior dynamics, potentially informing interventions.