Relationship between Horse Racing Addiction and Health Status Indicators

Article information

Korean J Health Promot. 2018;18(2):71-82

Publication date (electronic) : 2018 June 30

doi : https://doi.org/10.15384/kjhp.2018.18.2.71

Sang-Gu Na , Young-Kyu Park , Young-Ah Choi , Sung-Min Cho , Kyung-Shik Lee , Gang-Seok Seo , Sung-Won Park , Se-Jong Kim , Soo-Yeon Lee

Department of Family Medicine, Bundang Jesaeng Hospital, Seongnam, Korea.

Corresponding author: Young-Ah Choi, MD. Department of Family Medicine, Bundang Jesaeng Hospital, 20 Seohyeon-ro 180-gil, Bundang-gu, Seongnam 13590, Korea. Tel: +82-31-779-0155, Fax: +82-31-779-0169, grchoi1@dmc.or.kr

Received 2018 March 30; Accepted 2018 May 29.

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.

Keywords: Horse racing; Pathological gambling; Health status indicators

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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.

Table 1

General characteristics of study subjects

Values are presented as number (%).

^aCalculated by chi-square test.

Table 2

Relationship between horse racing addiction and racecourse use behavior

Values are presented as mean±standard deviation.

^aCalculated by t-test.

Table 3

Comparison of health status indicators by addiction status

Abbreviations: BMI, body mass index; EQ-5D, EuroQol-5dimension; AUDIT-K, Korean-alcohol use disorders identification test; K-BDI, Korean-Beck depression inventory.

Values are presented as mean±standard deviation or number (%).

^aCalculated by t-test.

^bCalculated by chi-square test.

Table 4

Association of horse racing addiction (logistic regression, ORs with 95% CI) with health status indicators

Abbreviations: OR, odds ratio; CI, confidence interval; BMI, body mass index; EQ-5D, EuroQol-5dimension; AUDIT-K, Korean-alcohol use disorders identification test; K-BDI, Korean-Beck depression inventory.

Calculated by logistic regression analysis.

Table 5

Correlation of degree of horse racing addiction related to body-mass index, smoking amount, health-related quality of life, alcohol dependency, and depressed mood

Abbreviations: DSM-5, diagnostic and statistical manual of mental disorders-5; β, standardized regression coefficient; SE, standard error; BMI, body mass index; EQ-5D, EuroQol-5dimension; AUDIT-K, Korean-alcohol use disorders identification test; K-BDI, Korean-Beck depression inventory.

Calculated by multiple linear regression analyses.