and in terms of and harms. has also been as a mode. The study uses the 2019 study of 18–74- (N = 3,077) to how these modes in terms of,,, and. We used as the group in a model. Male (OR 1.48), age 18 and 54 (OR 1.88), and high (OR 1.87) were with. The odds of were among those who at least (OR 1.34) and among those with the (OR 3.62). age (OR 2.31), high (OR 1.51), at least four game types (OR 2.96), the most money on (OR 4.56), and in at least three were with. and were of modes. was more while was more and than., this was not as, due to the of.:, mode,, data, study and harms vary on and. has shown that men and tend to more, and more harms than women and older ( et al.2021; Castrén et al.2018; et al.2018), there have also been signs of (Castrén et al.2018). have also in and of harm and ( et al.2021; Binde and). Some are also to more harm than. Fast games, such as (EGMs) in both and, other games, and cards have been to harm ( et al.2021; et al.2019; et al.2020a; Castrén et al.2017). EGMs have been shown to both those with their, but also harms and ( et al.2019; et al.2005). and harms have also been to or modes of. A ( et al.2021) found that, to be to an in harms in to, this may also be to than the mode ( et al.2017). The of has also been shown to from that of ( et al.2021). Even the same in may lead to more harms than in ( et al.2019;). have used of, from to ( et al.2021). Most and have also not, or these have been into the of. (also known as) is here as that takes place both and in. to a type of both in terms of and harms ( et al.2011; Gonzá et al.2017)., the more in may the of and the risks of and on more.
The aim of the study is to use the 2019 study to the of how,, and in terms of,,, and. may as a for young owing to the of in the last and new such as (King et al.2020). A (King et al.2020) that,, 5–15 % of (12–17-) can.,, also shows that may be than or ( et al.2015). In a of 1,313 (14–18 years old), 34.7 % had only, 0.6 % only and 3.9 % were (Gonzá et al.2017). The ( et al.2011) found that was the most among 35–54-. was the most among 16–34- who on in and, and among 16-34- and 35–54- who in the same in and. are also more to be males than ( et al.2011; et al.2018). In the study from 2016, the share of women (25 %) was than that of men (8 %), but the of men was among (65 % male, 41 %) ( et al.2018). Male has been with and with home which may why in some has been more of ( et al.2011).
The and and or. The at modes by ( et al.2011). The that the and more in. The also more in and in to the two other. The of may also based on. In the 2015 study ( et al.2017), and were by. that the odds ratio (OR) for was for males in and for who were or. that may in the of modes is to the types of.
In to, may be to of harms than or. and are less in than in terms of the of and the of ( et al.2011). also have rates ( et al.2011; et al.2015; et al.2016). In the above (Gonzá et al.2017), 10.2 % of were as, as to 2.3 % of. The rates of and harm in may be to or the types of that are: In ( et al.2015; et al.2016), has been to a of forms in to or. may also be to other, such as or. may be by such as wins, bonus, or in (cf. EGMs in) ( et al.2019), but may also be to. In study ( et al.2017), () were more and had risky than., in, has been to than ( et al.2016).
The 2019 study and among 15–74- Finns in. The study was by the for and and and by the of and (Sect. 52 of the Act). The was by means of from a frame on the basis of the. in (,, etc.) and whose was other than, or Sámi were from the study. The study was out in or (the two of).
The data were by using (CATI) 2nd and 13th, in 2019. A cover and a on the study were sent to 7,800. types of cover were used: a one and a for those who were to. A same with a more was also for 15–30-. A more of the data is in in the ( et al.2020a). On, for 24 min., 3,994 were. After, the rate was 51.9 %. lower, the rate is to other. In the rate has been 52.5 % on ( et al.2012).
For the of this, only data on 18–74- were used (N = 3,077). 15–17- were the age limit for in is 18 years. have also shown that occur in in ( et al.2020b). to a, the to 2,917,000 in. This an part of the:, there were 3,722,323 aged 15 to 74 years in in 2019.
The case is from the of the of and in the are. in is by a,. are and in,, the, and, such as,,, and gas. sites are not or, but also not. EGMs and games are on ships (), (Åland), () and (). These are by Ålandsö (PAF), a that ships under the of the Åland. PAF also to. In 2020, 80 % of the and 62.7 % of the. The makes up 43 % of gross while 57 % is made up of the ( on the of H2).
In this paper, modes are from the of three: only, only, and. In the of, we refer to only and only here as and. The three modes are by the 12. The term ‘’ to games in other than the, for at’s and. using a or a. The mode was using items. In the the were of game types to from: they had in them or not and they the or the. If the game type was only or, this was used to the mode. The also a mode in, that no went. In the study, we have not modes of to (e.g., and), users may be at a risk for ( et al.2015). about the and age of were from the of and with the data. The study was into six age ()., about the and net were. net was based on the (Q1–Q4)., and with mode
To the of game types, a list of game types was with a “yes/no” for. In the, games in the were into nine game types: games, daily games, EGMs, games, games, horse games, poker, games by a the, and games in. In, PAF games on ships, PAF games, and other were and as one game type. was a game type.
Based on these 11 game types, we a of based on had on one game type, two game types, three game types, or four or more game types. For each game type, the of was about using the: daily or times a week, once a week, 1–3 times a month or. was then to the game in which the was the most., those who had in any were asked to the they had spent on. They were to their (in €) based on the of their. were about by, “What sort of did you in the past 12?” with list of. These were as: space (home), space (own work), daily life space ( store, kiosk, gas), space (café,, but ships), venue (,), and other. A new was to the of. and risky were used as of. was using the South Oaks 20 items (SOGS; and;1993). SOGS has been used as the for the of in ( et al.2020a). An Use Test () was used to risky. Based on the Care, the score of five or more among women and six or more among men was used as a for with the (Käypä). The’s alpha value was 0.76 for the SOGS was 0.76 and 0.70 for the. on the age,, and of were used to the data. This aimed at the bias by and at the of. The were with SPSS (SPSS 27.0,, IL, USA). With the, was by’s tests.,d was used to the,, and, as well as their with modes. carry from, and they were and added into the. To the, the of was as a. was by the (VIF) and the that our are not (sub 5). Also that the are not (no of > 0.7 among two or more)., from and based on used while the in the.
The was by The of the for and ( THL/774/6.02.01/2019). were about the of. The for was based the Data (GDPR) and can be found on the study (/). The data, data to them, are and for from the Data (FSD).
Of the three modes, (52.6 %) was the most, by (29.1 %). was the least mode (18.3 %) (see).
Based on the,,, and were with modes (). The of was among women (63.1 %) than among men (43.1 %) while the was the with and (). Every fifth (21.7 %) woman and every third man (35.8 %) was a. was the most mode among the age: 73.3 % of 65–74- and 57.0 % of 55–64- had only in., was more among the young, 25–34- (41.7 %),. In, was the most in the lower (Q1: 66.5 %; Q2: 60.7 %). At the same time, and were the most in the.
Among those who more than, the of was the. On the other hand, among those who daily or times a week, the on was the. A was also seen the of game types,, and the of: the most was with and the least with. and risky were with modes. Of those who had a, 30.5 % were, 16.1 % were, and more than half (53.4 %) were. Of those who had used at a risk level the past year, 42.9 % were, 15.6 % were, and 41.5 % were. At the same time, among those who did not any or risky, was the most mode of.,, and were using (). was used as the group for both and.:, and with mode
Male (OR 1.48), age 18 and 54 (OR 1.88), and high (Q3–Q4; OR 1.87) were with. The odds of were among those who at least (OR 1.34) and among those who spent the most money on (Q2–Q4; OR 3.62). Ages 18 and 54 (OR 2.31) and high (Q3–Q4; OR 1.51) were with. The odds of were also among those who at least four game types (OR 2.96), spent the most money on (Q2–Q4; OR 4.56), and in at least three (OR 5.59). were not with or.
The model was with more about. All were (p < 0.001) with modes (Fig.1). The of were the among those in daily life,, and other. Daily life or malls,, and gas, while and cafes. In the these are by EGM. Other refer to, for,,,,, or a’s house. The of were the among those in and work. The of were the among those in and. refer to both and. and with mode, more than half (53 %) of those who on the had only in (Fig.2). All game types were (p < 0.001) with modes. In the, the of was the among those on cards, games, and EGMs the. The of was the among those on games, daily games, and games. The of was the among those poker, games in, and table games by a the. On the other hand, 54 % of those the were. The of was the among those PAF games or other games. It is that all the had also on the (98.1 %).
Game types with mode
This paper has how,, and in terms of,,, and. The that the three modes have that may also be to their harm. This the of the modes of also as (also et al.2021).
Our model that in the study, the male was to, but not to. This from from and ( et al.2011; et al.2018) that have the male also to. It is that in years, with in (e.g.,), have moved and to.
Our also link age and with both and. This is in line with. Both and have been to age also in other (e.g., et al.2015; et al.2011; et al.2021). in older age are still in. Even many can also be found, older may since an,, and (cf. et al.2021). have also been to cause less “” to older than where the load is high ( et al.2006)., older have more free time and also more as a means to (Tse et al.2012). are more with and, and more to ( et al.2021; Hume and).
Based on our, was to the mode, ( in terms of the of types in) were to. have been ( et al.2021). In our study, high was to both and., and, is by and ease of, usage (Hume and). This may the high and in to., on the other hand, to be by an of in terms of,, and (cf. et al.2018)., the high and in among, this does not to be in harms in the. This is, as have to ( et al.2011; et al.2015; et al.2016) and more to due to such as,, ease of, and speed ( et al.2021; et al.2019). It is that our is less to the and more a of the of the. The is by a high of EGMs in. EGMs and games make up over half of the gross ( and). EGM in and is also to harms (e.g., et al.2019). The of in the may, at least, the harms of and.
The study is by some. The rate was lower in the than in the age ( et al.2020a). most, men more than women in all age. It is that is a topic that men to. In 2019, the rate in all age to 2015, most among those aged 55 to 64. The of the rate was also in terms: the rate was lower for in than for those in rural areas. to the study from 2015, a lower was with a lower rate ( et al.2020). It is that a may have also a bias in our of the of in the 2019.
In to to the field, the fact that was not with the mode of after for other may also to other. First, our study main only. It is that the and the mode of on the of a third (i.e.,). This may for be the case of the., a small of in some, such as, may be the for the OR an the and a. These be in.
The study also a few gaps that be in. First, we only and harms. or other are to modes (cf. et al.2011)., also the of how modes are to other and. As may be to at least among men ( et al.2017), it is that also have a in terms of. Third, more would be on the of types of ( or) on and harms., and,, were of modes. to, were more often men. were older and had a lower level than and., based on their: they more and spent more money on to. more than, but also in a more way. in types of games and in types of. were in daily life, in and work, and in and.: AHS, VM, JJT;: KL, AHS;: KL, AHS, VM, JJT; draft: KL, AHS, VM, JJT; and: KL, AHS, VM, JJT. All have read and to the of the.
The 2019 study and the daily work of the KL, VM, JJ-T and AHS were by the of and,, the of the §52 of the Act. VM also from the of (Grant , The of, PI Pekka). These had no role in the study,, or the of of this at any phase of the. for and (THL)Open by for and (THL).
The 2019 data is for from the Data (
Not.
The study was in with the of the of. The of the for and,, the.
The have no of to that are to the of this.
The that they have no of. was from all in the study.
Not.’s Note with to in maps and.
Kalle Lind, Email:
Virve, Email: Jä, Email:
Anne H., Email:
This any data, data, or in this.
The 2019 data is for from the Data (
Not.
