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An association rule mining-based framework for understanding lifestyle risk behaviors
So Hyun Park1, Shin Yi Jang2, Ho Kim1
1Graduate School of Public Health, Seoul National University, Seoul, Korea.
Plos One
|February 20, 2014
Summary
Most Korean adults have multiple lifestyle risk behaviors, with smoking, drinking, and sleep patterns often linked. Understanding these connections is key for effective public health interventions.
Area of Science:
- Public Health
- Behavioral Science
- Epidemiology
Background:
- Lifestyle risk behaviors are significant contributors to chronic diseases.
- Understanding the interplay of these behaviors is crucial for targeted interventions.
Purpose of the Study:
- To investigate the prevalence of lifestyle risk behaviors in Korean adults.
- To identify patterns and correlations among these behaviors.
Main Methods:
- Utilized data from the Fourth Korea National Health and Nutrition Examination Survey (n=14,833).
- Employed association rule mining to analyze patterns of non-adherence to the Alameda 7 health behaviors.
- Examined variables including smoking, heavy drinking, physical inactivity, obesity, inadequate sleep, breakfast skipping, and frequent snacking.
Main Results:
- 72% of Korean adults exhibited two or more lifestyle risk behaviors.
- In women, smoking, obesity, and breakfast skipping were linked to inadequate sleep.
- In men, smoking was associated with breakfast skipping, physical inactivity, obesity, and inadequate sleep.
Conclusions:
- Lifestyle risk behaviors are interconnected among the Korean adult population.
- Identifying these patterns can inform the development of interventions addressing multiple behaviors concurrently.
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