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An Association Rule Mining-Based Framework for Understanding Lifestyle Risk Behaviors

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  • So Hyun Park
  • Shin Yi Jang
  • Ho Kim
  • Seung Wook Lee

Abstract

Objectives: This study investigated the prevalence and patterns of lifestyle risk behaviors in Korean adults. Methods: We utilized data from the Fourth Korea National Health and Nutrition Examination Survey for 14,833 adults (>20 years of age). We used association rule mining to analyze patterns of lifestyle risk behaviors by characterizing non-adherence to public health recommendations related to the Alameda 7 health behaviors. The study variables were current smoking, heavy drinking, physical inactivity, obesity, inadequate sleep, breakfast skipping, and frequent snacking. Results: Approximately 72% of Korean adults exhibited two or more lifestyle risk behaviors. Among women, current smoking, obesity, and breakfast skipping were associated with inadequate sleep. Among men, breakfast skipping with additional risk behaviors such as physical inactivity, obesity, and inadequate sleep was associated with current smoking. Current smoking with additional risk behaviors such as inadequate sleep or breakfast skipping was associated with physical inactivity. Conclusion: Lifestyle risk behaviors are intercorrelated in Korea. Information on patterns of lifestyle risk behaviors could assist in planning interventions targeted at multiple behaviors simultaneously.

Suggested Citation

  • So Hyun Park & Shin Yi Jang & Ho Kim & Seung Wook Lee, 2014. "An Association Rule Mining-Based Framework for Understanding Lifestyle Risk Behaviors," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-9, February.
    • Handle: RePEc:plo:pone00:0088859
    DOI: 10.1371/journal.pone.0088859
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    1. Buxton, Orfeu M. & Marcelli, Enrico, 2010. "Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States," Social Science & Medicine, Elsevier, vol. 71(5), pages 1027-1036, September.
    2. Hall, S.M. & Tunstall, C.D. & Vila, K.L. & Duffy, J., 1992. "Weight gain prevention and smoking cessation: Cautionary findings," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 799-803.
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    1. Nor Hamizah Miswan & ‘Ismat Mohd Sulaiman & Chee Seng Chan & Chong Guan Ng, 2021. "Association Rules Mining for Hospital Readmission: A Case Study," Mathematics, MDPI, vol. 9(21), pages 1-21, October.
    2. Tosporn Arreeras & Mikiharu Arimura & Takumi Asada & Saharat Arreeras, 2019. "Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data," Sustainability, MDPI, vol. 11(14), pages 1-17, July.

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