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A Data-Driven Assessment of the Metabolic Syndrome Criteria for Adult Health Management in Taiwan

Author

Listed:
  • Ming-Shu Chen

    (Department of Healthcare Administration, Oriental Institute of Technology, New Taipei City 22061, Taiwan)

  • Shih-Hsin Chen

    (Department of Information Management, Cheng Shiu University, Kaohsiung City 83347, Taiwan)

Abstract

According to the modified Adult Treatment Panel III, five indices are used to define metabolic syndrome (MetS): waist circumference (WC), high blood pressure, fasting glucose, triglycerides (TG), and high-density lipoprotein cholesterol. Our work evaluates the importance of these indices. In addition, we attempted to identify whether trends and patterns existed among young, middle-aged, and older people. Following the analysis, a decision tree algorithm was used to analyze the importance of the five criteria for MetS because the algorithm in question selects the attribute with the highest information gain as the split node. The most important indices are located on the top of the tree, indicating that these indices can effectively distinguish data in a binary tree and the importance of this criterion. That is, the decision tree algorithm specifies the priority of the influence factors. The decision tree algorithm examined four of the five indices because one was excluded. Moreover, the tree structures differed among the three age groups. For example, the first key index for middle-aged and older people was TG whereas for younger people it was WC. Furthermore, the order of the second to fourth indices differed among the groups. Because the key index was identified for each age group, researchers and practitioners could provide different health care strategies for individuals based on age. High-risk middle-aged and healthy older people maintained low values of TG, which might be the most crucial index. When a person can avoid the first and second indices provided by the decision tree, they are at lower risk of MetS. Therefore, this paper provides a data-driven guideline for MetS prevention.

Suggested Citation

  • Ming-Shu Chen & Shih-Hsin Chen, 2018. "A Data-Driven Assessment of the Metabolic Syndrome Criteria for Adult Health Management in Taiwan," IJERPH, MDPI, vol. 16(1), pages 1-11, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2018:i:1:p:92-:d:194093
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    References listed on IDEAS

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    1. Yuan Kei Ching & Yit Siew Chin & Mahenderan Appukutty & Wan Ying Gan & Vasudevan Ramanchadran & Yoke Mun Chan, 2018. "Prevalence of Metabolic Syndrome and Its Associated Factors among Vegetarians in Malaysia," IJERPH, MDPI, vol. 15(9), pages 1-15, September.
    2. Xinghua Yang & Qiushan Tao & Feng Sun & Siyan Zhan, 2012. "The impact of socioeconomic status on the incidence of metabolic syndrome in a Taiwanese health screening population," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(3), pages 551-559, June.
    3. Chen-Mao Liao & Chih-Ming Lin, 2018. "Life Course Effects of Socioeconomic and Lifestyle Factors on Metabolic Syndrome and 10-Year Risk of Cardiovascular Disease: A Longitudinal Study in Taiwan Adults," IJERPH, MDPI, vol. 15(10), pages 1-15, October.
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