ArticlePloS one2014
An association rule mining-based framework for understanding lifestyle risk behaviors.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Association between Breakfast Skipping and Body Weight-A Systematic Review and Meta-Analysis of Observational Longitudinal Studies.Nutrients · 2021Pooled it
- Sedentary Behavior and Sleep Problems: a Systematic Review and Meta-Analysis.International journal of behavioral medicine · 2017Pooled it
- Characterizing co-purchased food products with soda, fresh fruits, and fresh vegetables using loyalty card purchasing data in Montréal, Canada, 2015-2017.The international journal of behavioral nutrition and physical activity · 2025Article
- Roles, relationships, and motor aggressions: Keys to unveiling the emotions of a traditional sporting game.Frontiers in psychology · 2023Article
- Discovering HIV related information by means of association rules and machine learning.Scientific reports · 2022Article
- Another Look at Obesity Paradox in Acute Ischemic Stroke: Association Rule Mining.Journal of personalized medicine · 2021Article
- An Association Rule Mining Analysis of Lifestyle Behavioral Risk Factors in Cancer Survivors with High Cardiovascular Disease Risk.Journal of personalized medicine · 2021Article
- Identification of novel activators of the metal responsive transcription factor (MTF-1) using a gene expression biomarker in a microarray compendium.Metallomics : integrated biometal science · 2020Article
- The Impact of BMI Categories on Metabolic Abnormality Development in Chinese Adults Who are Metabolically Healthy: A 7-Year Prospective Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Comorbidity Study of Attention-deficit Hyperactivity Disorder (ADHD) in Children: Applying Association Rule Mining (ARM) to Korean National Health Insurance Data.Iranian journal of public health · 2018Article
- Would you like to add a weight after this blood pressure, doctor? Discovery of potentially actionable associations between the provision of multiple screens in primary care.Journal of evaluation in clinical practice · 2018Article
- Meal Timing and Frequency: Implications for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association.Circulation · 2017Review
- Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015Article
- Association of high-density lipoprotein with development of metabolic syndrome components: a five-year follow-up in adults.BMC public health · 2015Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study investigated the prevalence and patterns of lifestyle risk behaviors in Korean adults.
methodsWe 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.
resultsApproximately 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.
conclusionLifestyle risk behaviors are intercorrelated in Korea. Information on patterns of lifestyle risk behaviors could assist in planning interventions targeted at multiple behaviors simultaneously.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.