Leveraging data mining techniques to understand drivers of obesity
| Autor: | Manhal Ali, Richard Allmendinger, Mohaimen Mansur, Reza Salehnejad, Paraskevas Yiapanis, Azar Shahgholian, Y.-W. Chen |
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| Rok vydání: | 2017 |
| Předmět: |
Behavioral Risk Factor Surveillance System
030503 health policy & services Regression tree analysis 05 social sciences Contrast (statistics) medicine.disease Body weight computer.software_genre Obesity 03 medical and health sciences 0502 economics and business medicine Data mining 050207 economics 0305 other medical science Psychology Lower income Body mass index computer |
| Zdroj: | CIBCB Salehnejad, R & Allmendinger, R 2017, Leveraging data mining techniques to understand drivers of obesity . in IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2017) . https://doi.org/10.1109/CIBCB.2017.8058521 |
| Popis: | Substantial research has been carried out to explain the effects of economic variables on obesity, typically considering only a few factors at a time, using parametric linear regression models. Recent studies have made a significant contribution by examining economic factors affecting body weight using the Behavioral Risk Factor Surveillance System data with 27 state-level variables for a period of 20 years (1990-2010). As elsewhere, the authors solely focus on individual effects of potential drivers of obesity than critical interactions among the drivers. We take some steps to extend the literature and gain a deeper understanding of the drivers of obesity. We employ state-of-the-art data mining techniques to uncover critical interactions that may exist among drivers of obesity in a data-driven manner. The state-of-the-art techniques reveal several complex interactions among economic and behavioral factors that contribute to the rise of obesity. Lower levels of obesity, measured by a body mass index (BMI), belong to female individuals who exercise outside work, enjoy higher levels of education and drink less alcohol. The highest level of obesity, in contrast, belongs to those who fail to exercise outside work, smoke regularly, consume more alcohol and come from lower income groups. These and other complementary results suggest that it is the joint complex interactions among various behavioral and economic factors that gives rise to obesity or lowers it; it is not simply the presence or absence of individual factors. |
| Databáze: | OpenAIRE |
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