Korean J Health Promot.  2018 Jun;18(2):71-82. 10.15384/kjhp.2018.18.2.71.

Relationship between Horse Racing Addiction and Health Status Indicators

• Na SG
• Park YK
• Choi YA
• Cho SM
• Lee KS
• Seo GS
• Park SW
• Kim SJ
• Lee SY

• KMID: 2415939
• DOI: http://doi.org/10.15384/kjhp.2018.18.2.71

Abstract

BACKGROUND
The purpose of this study is to investigate relationship between the horse racing addiction and the health status indicators.
METHODS
Surveys were conducted with visitors of the Korea Racing Association in Gyeonggi-do, from September 1 to September 24, 2017. We used the questionnaire, which contains questions to assess the horse racing addiction, mood depression, health-related quality of life, smoking amount, alcohol dependency, etc. Survey data were analyzed through t-test, chi-square test, logistic regression analysis, and multiple regression analysis by SPSS program (IBM Corp., Chicago, IL, USA).
RESULTS
The pathological gambling group was 47.5% (n=38) of the visitors, and they showed a different racecourse use behavior compared to the normal group. In addition, we found that the pathological gambling group had a significantly different health-related quality of life score and a depression score from the normal group, and that the addiction score and the depression score had a linear correlation.
CONCLUSIONS
Among the racecourse visitors, the ratio of the pathological gambler was considerably high, and the pathological gambling group showed different health-related quality of life score and a depression score compared to the normal group; especially, the depression score has a significant correlation with horse racing addiction. Therefore, the horse racing association and the health authorities should recognize the seriousness of the horse racing addiction, make an effort to select high risk users, and prepare a program to prevent pathological gambling.

Keyword

Horse racing; Pathological gambling; Health status indicators

MeSH Terms

Continental Population Groups*
Depression
Gambling
Gyeonggi-do
Health Status Indicators*
Horses*
Humans
Korea
Logistic Models
Quality of Life
Smoke
Smoking
Smoke

Figure

• 

  Figure 1 Correlation of DSM-5 score related to K-BDI score. Calculated by multiple linear regression analyses, adjusted by BMI, smoking amount, EQ-5D, AUDIT-K. Abbreviations: DSM-5, diagnostic and statistical manual of mental disorders-5; K-BDI, Korean-Beck depression inventory. EQ-5D, EuroQol-5dimension; AUDIT-K, Korean-alcohol use disorders identification test.

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