This study examined how the legalization of sports wagering, in association with several factors (i.e., gender, motivations, and fandom), has impacted gambling behavior, interests in sport, and sport-related consumption (e.g., media, ticket sales) using a sample of active gamblers above the age of 21 (N = 58). The findings showed that economic motivation significantly predicted gambling behavior, interests in sports, and sport-related consumption, while fandom did not. People who are motivated by money are more likely to wager on sport and consume sport. However, being a sport fan or not does not impact those variables. Based on the results of the current study, it could be suggested that, since sports wagering was recently legalized, sport organizations should move quickly to attract new and potential market segments (e.g., gamblers).
Dan Cason, Minkyo Lee, Jaedeock Lee, In-Sung Yeo, and Edward J. Arner
JooYong Park, Aesun Shin, Miyoung Lee, Jaesung Choi, Minkyo Song, Yeonjung Kim, Jong-koo Lee, Daehee Kang, and Ji-Yeob Choi
Background: This study aimed to estimate the prevalence and trends of participation in physical activity (PA) in Korean adults. Methods: The Korea National Health and Nutrition Examination Survey (KNHANES; 2009–2013) and the Korea Community Health Survey (KCHS; 2009–2013) were used to estimate the prevalence of PA. Age standardization was performed using population projections for Korea in 2005 as a standard population. Trends of the prevalence from 2009 to 2013 were assessed by joinpoint regression analysis. Results: The age-standardized prevalence for achieving the recommended level of PA was 63.0% in KNHANES and 64.5% in KCHS for men, and 53.7% in KNHANES and 56.3% in KCHS for women. Decreasing trends were observed for the prevalence of achieving the recommended level of PA in the KNHANES and KCHS; however, only the trend for women in KNHANES was statistically significant. Conclusions: Approximately, 60% of adults participate in the recommended level of PA in Korea. The survey design and characteristics should be considered when interpreting the prevalence of PA from different databases.