Search
- Page Path
- HOME > Search
- Developing the High-Risk Drinking Scorecard Model in Korea
- Jun-Tae Han, Il-Su Park, Suk-Bok Kang, Byeong-Gyu Seo
- Osong Public Health Res Perspect. 2018;9(5):231-239. Published online October 31, 2018
- DOI: https://doi.org/10.24171/j.phrp.2018.9.5.04
- 16,335 View
- 101 Download
- 2 Crossref
-
Abstract
PDF Objectives This study aimed to develop a high-risk drinking scorecard using cross-sectional data from the 2014 Korea Community Health Survey.
Methods Data were collected from records for 149,592 subjects who had participated in the Korea Community Health Survey conducted from 2014. The scorecard model was developed using data mining, a scorecard and points to double the odds approach for weighted multiple logistic regression.
Results This study found that there were many major influencing factors for high-risk drinkers which included gender, age, educational level, occupation, whether they received health check-ups, depressive symptoms, over-moderate physical activity, mental stress, smoking status, obese status, and regular breakfast. Men in their thirties to fifties had a high risk of being a drinker and the risks in office workers and sales workers were high. Those individuals who were current smokers had a higher risk of drinking. In the scorecard results, the highest score range was observed for gender, age, educational level, and smoking status, suggesting that these were the most important risk factors.
Conclusion A credit risk scorecard system can be applied to quantify the scoring method, not only to help the medical service provider to understand the meaning, but also to help the general public to understand the danger of high-risk drinking more easily.
-
Citations
Citations to this article as recorded by
- A Study on ML-Based Sleep Score Model Using Lifelog Data
Jiyong Kim, Minseo Park
Applied Sciences.2023; 13(2): 1043. CrossRef - A Simple-to-Use Score for Identifying Individuals at High Risk of Denosumab-Associated Hypocalcemia in Postmenopausal Osteoporosis: A Real-World Cohort Study
Kyoung Jin Kim, Namki Hong, Seunghyun Lee, Miryung Kim, Yumie Rhee
Calcified Tissue International.2020; 107(6): 567. CrossRef
- A Study on ML-Based Sleep Score Model Using Lifelog Data
- A Study of High-Risk Drinking Patterns Among Generations Based on the 2009 Korea National Health and Nutrition Examination Survey
- Yeongseon Hong, Sungsoo Chun, Mieun Yun, Lydia Sarponmaa Asante, Chaeshin Chu
- Osong Public Health Res Perspect. 2014;5(1):46-53. Published online February 28, 2014
- DOI: https://doi.org/10.1016/j.phrp.2014.01.006
- 2,666 View
- 16 Download
- 2 Crossref
-
Abstract
PDF
- Objectives
The aim of this study was to identify how the drinking patterns of a generation on the paternal side affect those of the next generations by estimating the number of high-risk drinkers by generation according to the Alcohol Use Disorder Identification Test.
Methods
Data were selected from the 2009 Korea National Health and Nutrition Examination Survey conducted by the Korea Centers for Disease Control and Prevention and were analyzed using SPSS 18.0.
Results
Later generations started drinking earlier (62.4%, 71.8% and 91.1%, respectively). The majority of the second generation consumed more than 2–4 drinks a month (83.7%), but only a small proportion experienced difficulty in everyday life (9.6%), felt repentance (9.6%), or experienced memory loss (17.9%) after drinking. Unmarried third-generation adults with high-risk-drinking fathers reported more frequent alcohol consumption [odds ratio (OR) 1.441), greater amounts on one occasion (>7 cups for men, OR 1.661; > 5 cups for women, OR 2.078), temperance failure (OR 2.377), and repentance after drinking (OR 1.577). Unmarried third-generation adults with high-risk-drinking grandfathers consumed greater amounts of alcohol on one occasion (OR 3.642), and unmarried third-generation women more frequently consumed large amounts of alcohol (>5 cups, OR 4.091). Unmarried third-generation adults with high-risk-drinking fathers were more likely to exhibit high-risk drinking patterns (OR 1.608). Second-generation individuals from a high-risk-drinking first generation were more likely to engage in high-risk drinking (OR 3.705).
Conclusion
High-risk drinking by a generation significantly affects the high-risk drinking patterns of subsequent generations. -
Citations
Citations to this article as recorded by- Age at onset of alcohol consumption and its association with alcohol misuse in adulthood
Soo Y. Kim, Sung H. Jeong, Eun‐Cheol Park
Neuropsychopharmacology Reports.2023; 43(1): 40. CrossRef - Alcohol consumption frequency or alcohol intake per drinking session: Which has a larger impact on the metabolic syndrome and its components?
Sarah Soyeon Oh, Woorim Kim, Kyu-Tae Han, Eun-Cheol Park, Sung-In Jang
Alcohol.2018; 71: 15. CrossRef
- Age at onset of alcohol consumption and its association with alcohol misuse in adulthood
First
Prev
