Contemporary digital technologies have facilitated practices related to games whereby users often produce and consume content for free. To date, research into consumer interactions has largely focused on in-game factors, however, the intention to both play the game and to make in-game purchases are influenced by outside factors, including game streams and game-centred communities. In particular, the growth of competitive gaming, known as esports, offers a new channel for consumer engagement. This research explores the potential for esports to be a significant factor in understanding both intentions to play and spend money on games. Our study draws from Motivations Scale of Sports Consumption to empirically investigate the relationship between esports spectating motivations and game consumption: Watching Intention, Gaming Intention, and Purchasing Intention. This survey uses structural equation modelling (SEM) to analyse data collected from a sample of video game players (n = 194). This research contributes empirical evidence of the relationship between esports spectating and game consumption, with the relationship between Watching Intention and Gaming Intention found to be particularly strong. Finally, while the MSSC is an adequate measure for esports spectating, additional aspects specific to esports require further investigation, consequently, there may be more optimal measures which can be developed.

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tion was built (Tableau 8) to visualize the information to be easily communicated to local authorities and clinicians. Results: A middle-sized Finnish municipality with 74 168 inhabitants (Joensuu) was chosen as a case-example. The estimated number of diabetic patients was 2267, out of which 1678 had T2D. Within three years among patients with T2D, the predicted number of CHD events would be 73 and 57 for HbA1c levels 6.5% and 8.0%, respectively, resulting total of 16 avoidable CHD events. ConClusions: By bringing the understanding of epidemiology and treatment effects to local level, there is a possibility to show the positive outcomes of good diabetes care in real practice. This information may be used to help budget holders in resource allocation and to motivate authorities, clinicians (and patients) to follow the diabetes treatments guidelines.