ArticlePDF Available

Abstract and Figures

Objectives The aim of this study is to look at an Irish population in relation to the online gambling activities people are engaging with, the reasons for gambling online, their attitudes to online gambling and the financial/mental health consequences of online gambling. Methods The outline for this study was adapted from a study by McCormack et al . (2014) in relation to online gambling, with the aim of replicating this study in an Irish population. An online survey consisting of 11 categories related to online gambling was advertised online over a 7-month period. Participants answered on activities gambled online, devices used, duration of time gambling, as well mental health/financial consequences of their gambling. Results A total of 208 users participated in the online survey. The most popular gambling activity played was Sports Betting (26.9%) and the most commonly used device was Mobile app (68.6%). The main reason for gambling online was ‘To win money’ (84.6%), the main reason for ending gambling sessions – ‘Had something else to do’ (67.3%) and the most prominent emotion experienced – Excitement (60.6%). There were findings related to the severity of gambling addiction (75% – had to borrow or sell to fund gambling) and their attitudes towards online gambling (strongly agreed – 39.9% – The potential dangers of gambling should be advertised). Conclusions Online gamblers in Ireland share similar behavioural profiles to online gamblers in the United Kingdom and worldwide. The majority of participants in this research have been adversely affected from both a mental and financial perspective due to their gambling behaviours.
Content may be subject to copyright.
A national survey of online gambling behaviours
D. Columb
1
and C. OGara
2,
*
1
St John of Gods Hospital, Stillorgan, Co Dublin, Ireland
2
Addictions Department, St John of Gods Hospital, Stillorgan, Co Dublin, Ireland; UCD School of Medicine and Medical Science, University College Dublin,
Dublin, Ireland
Objectives. The aim of this study is to look at an Irish population in relation to the online gambling activities people are
engaging with, the reasons for gambling online, their attitudes to online gambling and the nancial/mental health
consequences of online gambling.
Methods. The outline for this study was adapted from a study by McCormack et al. (2014) in relation to online gambling,
with the aim of replicating this study in an Irish population. An online survey consisting of 11 categories related to online
gambling was advertised online over a 7-month period. Participants answered on activities gambled online, devices used,
duration of time gambling, as well mental health/nancial consequences of their gambling.
Results. A total of 208 users participated in the online survey. The most popular gambling activity played was Sports
Betting (26.9%) and the most commonly used device was Mobile app (68.6%). The main reason for gambling online was
To win money(84.6%), the main reason for ending gambling sessions –‘Had something else to do(67.3%) and the most
prominent emotion experienced Excitement (60.6%). There were ndings related to the severity of gambling addiction
(75% had to borrow or sell to fund gambling) and their attitudes towards online gambling (strongly agreed 39.9%
The potential dangers of gambling should be advertised).
Conclusions. Online gamblers in Ireland share similar behavioural proles to online gamblers in the United Kingdom
and worldwide. The majority of participants in this research have been adversely affected from both a mental and
nancial perspective due to their gambling behaviours.
Received 18 July 2017; Revised 26 September 2017; Accepted 27 September 2017
Key words: Gambling, humans, internet, surveys and questionnaires.
Introduction
Over the last 20 years, we have seen an exponential rise
in the content that we can access almost instantaneously
via the internet and gambling is no exception. Online
gambling has proven to be a popular activity, with the
British Gambling Prevalence Study 2010 showing that
14% of participants surveyed had used the internet to
gamble in the past year (Wardle et al. 2011).
There are many reasons why online gambling has
gained popularity for some over conventional gambling,
such as permanent availability, anonymity and increased
speed of play (Barrault & Varescon, 2016). The ability to
gamble from the comfort of your own home has also
been cited as a reason to gamble online (King & Barak,
1999). Indeed, these improvements in accessibility and
ease of betting are some of the reasons why online gam-
bling can be more addictive than conventional gambling,
especially in young gamblers (Chóliz, 2016).
This is of concern as this addictive nature could lead to
an increase in the incidence and prevalence of problem
gambling. Problem gambling is an urge to gamble
despite harmful negative consequences or a desire to
stop (Jazaeri & Habil, 2012). There are many factors
that could indicate problem gambling amongst online
gamblers. Participants that engaged in two or more
activities online or in certain activities, such as live action
sports betting or poker, were more likely to be problem
gamblers (McCormack et al. 2013; LaPlante et al. 2014).
Also, participants that owned multiple online accounts
were more involved gamblers and engaged in gambling
more frequently with higher rates of gambling problems
(Gainsbury et al. 2015). Interestingly, multiple account
holders engaged with websites based on price, betting
options and payout rates versus legality and consumer
protection features that would be characteristic of single
account holders (Gainsbury et al. 2015). In addition, there
is evidence that use of state licensed websites for online
gambling cause less overall harm (Costes et al. 2016) and
that rates of sub-clinical disordered gambling were
higher in environments with less strict regulation of
advertising for online gambling (Planzer et al. 2014).
There is also a large body of evidence looking at the
effect that problem gambling can have on mental health
(Scholes-Balog & Hemphill, 2012). Responsible gamblers
tend to use gambling as a leisure activity whereas pro-
blem gamblers try and use gambling as a way of
* Address for correspondence: Dr C. OGara, Addictions Depart-
ment, St John of Gods Hospital, Stillorgan, Co Dublin, Ireland.
(Email: columbd@tcd.ie)
Irish Journal of Psychological Medicine, page 1 of 9. © College of Psychiatrists of Ireland 2017 ORIGINAL RESEARCH
doi:10.1017/ipm.2017.64
modifying their current mood state (Wood & Grifths,
2015). Problem gamblers reported negative mood states
after gambling online and negative mood states in general
(King & Barak, 1999). In line with multiple account users,
people engaging in multiple gambling activities online
had the highest prevalence of mental health disorder
(Lloyd et al. 2010b) and online gamblers were more at risk
of alcohol and cannabis misuse (Kairouz et al. 2012;
Scholes-Balog & Hemphill, 2012).
Currently, there is very little information on the
attitudes and behaviours of online gamblers in Ireland.
Therefore, the aim of this survey is to highlight what
online gambling activities people are engaging with
online, their reasons for choosing to gamble online,
their attitudes to online gambling and the consequences
of their online gambling from both a nancial and
mental health perspective.
Methods
Participants
In total, 209 participants engaged in the online survey;
one participant was excluded as they only answered
demographic questions. Overall 208 participants
responses were analysed. The survey was online from
December 2014 to June 2015 and was advertised online
and with general media outlets. An information sheet
preceded taking the survey including information on
what the research is about, the reason for conducting
the research, how the data will be used, how privacy of
data will be maintained, the benets and risks of taking
part in the survey, information about if you change
your mind during the survey and nding out about the
results of the survey, along with contact details for
further information. Ethical approval was obtained
from the Human Research Ethics Committee Sciences
based in the UCD Ofce of Research Ethics, Roebuck
Castle, University College Dublin, Beleld, Dublin 4.
Survey design
The survey consisted of demographic data questions
and 11 main categories of questions related to gambling
adapted from a similar UK study (McCormack et al.
2014). In terms of demographic data, there were ques-
tions on gender, age and county of residence. In terms
of questions related to gambling, there were questions
pertaining to the activities gambled online (poker, sport
betting, horse racing, spread betting, lottery, blackjack,
dog racing, bingo, fruit machine, roulette, instant win
scratch cards). This question was measured on a Likert
scale ranging from neverto most days. The devices
used to gamble online (desktop, mobile app, laptop,
tablet) and duration of time spent gambling, in terms of
average session length and years spent gambling
online, were also measured.
The survey also contained questions regarding rea-
sons for gambling online (to win money, enjoyment,
access, convenience, availability, challenge, bet at own
pace, better value, comfort, bet in play, stimulation,
anonymity, competition, greater exibility in stake size,
free bets, dislike atmosphere in ofine venues, high
speed of play online, safer, escape, ofine venues too far
away, spend less online, multiple games, inuenced by
others, adverts, free practice games and other) and
reasons for ending a gambling session (won a lot of
money, tiredness, frustration, boredom, had something
else to do, lost too much money, reached a target, run
out of money). There was also data collected on the
aspects important to people when choosing a gambling
app or website (recommendations, variety of games,
advertisements, celebrity endorsement, ease of use, free
offers, brand name, graphics, friends use it).
The emotions experienced when gambling online
were also assessed (excitement, happy, no difference,
frustrated, escape, anger, ashamed, empty, lonely,
irritable, relaxed, euphoria, other) as well as the seve-
rity and impact of gambling online has had on the
participant in the previous 12 months (borrowing
money, nancial problems, health problems, gambling
larger amounts, felt that you might have a problem
with gambling, betting more than can afford, criticised
for having a gambling problem, felt guilty about your
gambling, trying to win back lost money). Participants
were also asked about previous treatments, if any, were
received for gambling addiction.
Participants were also asked to answer questions
around statements pertaining to gambling and their
attitude around gambling. These 18 statements have
previously been used in research around gambling and
online gambling (Wardle et al. 2011; McCormack et al.
2014) and answered on a Likert scale ranging from
disagree stronglyto agree strongly.
Analysis
Descriptive statistics were performed on all 11 ques-
tions pertaining to gambling. The variables included
activities gambled online, device used to gamble online,
reasons for gambling online, duration gambling online,
average gambling session time, severity of gambling,
emotions experienced gambling online, reasons for
choosing website, reasons to end gambling sessions
and attitude statements around gambling.
Results
In total, 209 participants undertook the online survey
(179 male, 30 female); one male was excluded due to
2D. Columb and C. OGara
lling out only their age and gender and no responses
to the survey questions. Participants were asked to
complete 12 survey questions along with information
on gender, age and county of residence. There was
variable uptake for some of the multiple option ques-
tions and these are addressed in the relevant questions
section. Participants from all over Ireland completed
the survey, with 42% of applicants from Dublin.
The mean age of participants was 39 years for males
(S.D.=12.7) and 38.5 years for females (S.D.=14.0), as
shown in Table 1.
Activities gambled online
The most popular activities engaged by males online
were Horse Race Betting (26.9% 56 participants) and
Sports Betting (24.0% 50 participants), with just over
half of the total sample size engaging in these activities
for most days of the week. Both these activities were also
engaged in on a less frequent basis (14 times per month,
<1 per month) by a large proportion of the male and
female population Horse Race Betting (14times
per month 23.6% 49 participants), <1 per month
(19.7% 41 participants) and Sports Betting (14times
per month (26.9% 56 participants), <1 per month
(18.8% 39 participants).
Lottery was not played online with the same freq-
uency (most days) compared with Horse Race Betting
and Sports Betting, but was played by a higher
proportion of males and females on a less frequent basis
(14 times per month (males 21.2% 44 participants,
females 4.3% 9 participants) and <1 per month
(males 22.1% 46 participants, females 4.8% 10 parti-
cipants)). A higher proportion of males also engaged in
Poker on a less frequent basis (14 times per month
(males 9.6% 20 participants) and <1 per month (males
18.8% 39 participants)). Instant Win Scratch Cards,
despite being very infrequently played for most days
of the week, were popular amongst both males and
females on a less frequent basis (14 times per month
(males 5.8% 12 participants, females 1.9% 4 partici-
pants) and <1 per month (males 16.3% 34 partici-
pants, females 2.9% 6 participants)).
The least engaged with activities online were Bingo
(92.8% 193 participants), Fruit Machines (88.5% 184
participants) and Spread Betting (87.5% 182 partici-
pants), with the majority of participants stating they
had never engaged with these games online. The full
list of responses are outlined in Table 2.
Devices used
In total, 188 patients answered questions about the
devices that they use to gamble. Participants were
allowed to select more than one option. Mobile app
(129 participants 68.6%) was the most common device
used to gamble online, followed by laptop (114 parti-
cipants 60.6%) and desktop (82 participants 43.6%).
Tablet was the least commonly used (53 participants
28.2%). 58.5% (110) of participants used more than one
device, with 28.7% (54) using two devices, 17.0% (32)
using three devices and 12.8% (24) using all four
devices listed.
Reasons for gambling online
Participants were advised to select which of the aspects
of the gambling experience listed were important to
them. The total responses for each gambling experience
are listed in Table 3. The most important aspect of the
gambling experience selected was To win money
(84.6%), followed by Enjoyment (76.0%), Access
(71.6%), Convenience (71.2%) and Availability (65.4%).
The least important aspects according to the survey
were Adverts (12.0%) and Free practice games (9.1%).
Duration of gambling session/years gambling online
On average, participants spent 2.8 hours (S.D. 3.3) per
gambling session with female participants spending
more time on average [3.4 hours (S.D. 4.2)] than male
participants. Male participants, however, had a higher
median duration of time spent per gambling session
(3 hours) compared with female participants (1 hour).
The median duration for the total sample was 1.5 hours.
Male participants spent an average duration of 8.0
years (S.D. 5.1) gambling online with a median duration
Table 1. Participant demographics
nAge [Mean (S.D.)]
Gender
Male 178 39.0 (12.7)
Female 30 38.5 (14.0)
Total 208 38.9 (12.9)
Counties
Antrim 6 Limerick 7
Armagh 3 Longford 1
Carlow 4 Louth 3
Cavan 3 Mayo 7
Clare 3 Meath 9
Cork 13 Monaghan 2
Donegal 1 Offaly 2
Down 2 Roscommon 2
Dublin 89 Sligo 1
Galway 8 Tipperary 5
Kerry 3 Westmeath 3
Kildare 12 Wexford 4
Kilkenny 3 Wicklow 8
Laois 4
A national survey of online gambling behaviours 3
of 7 years. Female participants had spent less years
gambling online, with an average duration of 3.6 years
(S.D. 4.4) and a median duration of 2 years. The total
average years spent gambling was 7.3 years (S.D. 5.2)
and a total median duration of 6 years.
Emotions when gambling online
Participants were asked to select the emotions they feel
when they gamble online. The most experienced emo-
tion during online gambling according to the survey
was Excitement (60.6% 126 participants), followed by
Happy (36.5% 76 participants) and No difference
(31.7% 66 participants). The least experienced emo-
tions were feeling Lonely (13.0% 27 participants),
Empty (13.5% 28 participants) and Ashamed
(14.4% 30 participants). The other responses were as
follows: Frustrated (27.4% 57 participants), Irritable
(24.5% 51 participants), Relaxed (22.6% 47 partici-
pants), Euphoria (21.6% 45 participants), Escape
(19.2% 40 participants), Anger (18.8% 39 partici-
pants) and Other (9.6% 20 participants).
Severity of gambling addiction
Participants were asked to select whether or not the
following statements applied to them as a gauge of the
severity of their online gambling over the past
12 months. 75.0% (156 participants) of participants had
to borrow money or sell to fund their online gambling
participation and 74.5% (155 participants) had experi-
enced nancial problems in their household as a result
of their online gambling. 67.3% (140 participants) also
reported health problems including stress and anxiety
as a result of their online gambling. Trying to win back
money lost the next day was the least selected with
53.4% (111) of the surveyed group. At least 50% of the
participants surveyed identied with at least one of the
statements. The responses to all the statements are lis-
ted in Table 4.
Reasons for selecting website/gambling app
Participants were asked to select one or more reasons why
they would choose a gambling app or website. The most
important reason cited by the participants for choosing a
website was Ease of use (64.4% 134 participants). Other
important reasons were Free offers (31.3% 65 parti-
cipants) and Brand name (28.4% 59 participants) with
Celebrity endorsement (1.9% 4participants)beingthe
least important reason for choosing a gambling app or
website from the options listed. The other responses were
as follows: Graphics (13.5% 28 participants), Friends use
it (13.0% 27 participants), Recommendations (11.1% 23
participants), Variety of games (9.1% 19 participants)
and Advertisements (7.2% 15 participants).
Reasons for ending gambling sessions
Participants were asked to select one or more reasons
why they end their gambling sessions. The most
common reason for ending a gambling session is Had
something else to do(67.3% 140 participants). The
other main reasons for ending a gambling session were
Lost too much money(41.3% 86 participants) and
Reached a target(38.0% 79 participants). Boredom
(26.0% 54 participants), Frustration (27.9% 58 parti-
cipants) and Tiredness (28.8% 60 participants) were
the least common reasons for ending a gambling
session. The other responses were Run out of money
Table 2. Responses to the question –‘How often do you engage in any of the following activities online?
Never [n(%, based on
total n)]
<1 per month [n
(%, based on total n)]
14 times per month [n
(%, based on total n)]
Most days [n(%, based
on total n)]
Male
(n=178)
Female
(n=30)
Male
(n=30)
Female
(n=30)
Male
(n=30)
Female
(n=30)
Male
(n=30)
Female
(n=30)
Horse race betting 47 (22.6) 14 (6.7) 31 (14.9) 10 (4.8) 44 (21.2) 5 (2.4) 56 (26.9) 1 (0.5)
Sports betting 38 (18.3) 18 (8.7) 38 (18.3) 1 (0.5) 52 (25.0) 4 (1.9) 50 (24.0) 0 (0.0)
Dog racing 133 (63.9) 24 (11.5) 28 (13.5) 4 (1.9) 5 (2.4) 1 (0.5) 12 (5.8) 1 (0.5)
Roulette 145 (69.7) 26 (12.5) 19 (9.1) 1 (0.5) 6 (2.9) 1 (0.5) 8 (3.8) 1 (0.5)
Lottery 81 (38.9) 9 (4.3) 46 (22.1) 10 (4.8) 44 (21.2) 9 (4.3) 7 (3.4) 2 (1.0)
Poker 112 (53.8) 25 (12.0) 39 (18.8) 2 (1.0) 20 (9.6) 2 (1.0) 7 (3.4) 1 (0.5)
Spread betting 153 (73.6) 29 (13.9) 13 (6.3) 1 (0.5) 6 (2.9) 0 (0.0) 6 (2.9) 0 (0.0)
Fruit machines 161 (77.4) 23 (11.1) 9 (4.3) 3 (1.4) 4 (1.9) 1 (0.5) 4 (1.9) 2 (1.0)
Blackjack 141 (67.8) 26 (12.5) 28 (13.5) 1 (0.5) 5 (2.4) 1 (0.5) 4 (1.9) 1 (0.5)
Instant Win scratch
cards
128 (61.5) 18 (8.7) 34 (16.3) 6 (2.9) 12 (5.8) 4 (1.9) 4 (1.9) 1 (0.5)
Bingo 169 (81.3) 24 (11.5) 5 (2.4) 4 (1.9) 3 (1.4) 0 (0.0) 1 (0.5) 1 (0.5)
4D. Columb and C. OGara
(37.5% 78 participants) and Won a lot of money
(36.1% 75 participants).
Treatment of gambling behaviour
Participants were asked to choose which treatment
option they had received for gambling behaviour in the
past or if they had never received treatment. In total, six
participants were excluded as they answered both
Neverand a treatment option; 22 participants did not
complete this question in the survey.
The majority of participants surveyed reported that
they had never received treatment for gambling beha-
viour (79.2% 153 participants). Gamblers Anonymous
was the most accessed treatment option (10.3% 20
participants), followed by Counselling (8.8% 17 par-
ticipants) and Medication (1.6% 3 participants). Two
(1.0%) participants had tried all three listed treatments,
8 (4.1%) participants had tried two treatments and 18
(9.3%) participants had tried just one treatment.
Attitude statements
Participants were asked to comment on a number of
statements about online gambling, rating each on a
5-point Likert scale ranging from agree stronglyto
disagree strongly. The responses to each of the
statements are included in Table 5.
The statement that participants agreed most strongly
with was The potential dangers of gambling should be
advertisedwith 39.9% (83 participants) stating that they
Agree Strongly.ThisisfollowedbySome gambling
websites are more trustworthy than others(27.9%
58 participants) and I would prefer to gamble on
websites that regularly tell me how much Ive lost
(26.0% 54 participants). The statements that partici-
pants least agreed with (selected Disagree Strongly)
Table 3. Responses to the question –‘Which of the following aspects
of the gambling experience are important to you?
Gambling experience [n(%, based
on a total n)]
Male
(n=178)
Female
(n=30)
Total
(n=208)
To win money 153 (73.6) 23 (11.1) 176 (84.6)
Enjoyment 138 (66.3) 20 (9.6) 158 (76.0)
Access 131 (63.0) 18 (8.7) 149 (71.6)
Convenience 129 (62.0) 19 (9.1) 148 (71.2)
Availability 123 (59.1) 13 (6.3) 136 (65.4)
Challenge 115 (55.3) 12 (5.8) 127 (61.1)
Bet at own pace 104 (50.0) 11 (5.3) 115 (55.3)
Better value 106 (51.0) 6 (2.9) 112 (53.8)
Comfort 93 (44.7) 12 (5.8) 105 (50.5)
Bet in play 85 (40.9) 8 (3.8) 93 (44.7)
Stimulation 70 (33.7) 11 (5.3) 81 (38.9)
Anonymity 66 (31.7) 12 (5.8) 78 (37.5)
Competition 67 (32.2) 9 (4.3) 76 (36.5)
Greater exibility in stake
size
64 (30.8) 12 (5.8) 76 (36.5)
Free bets 63 (30.3) 10 (4.8) 73 (35.1)
Dislike atmosphere in
ofine venues
55 (26.4) 7 (3.4) 62 (29.8)
High speed of play online 46 (22.1) 10 (4.8) 56 (26.9)
Safer 49 (23.6) 7 (3.4) 56 (26.9)
Escape 46 (22.1) 8 (3.8) 54 (26.0)
Ofine venues too far
away
44 (21.2) 8 (3.8) 52 (25.0)
Spend less online 33 (15.9) 9 (4.3) 42 (20.2)
Multiple games 24 (11.5) 9 (4.3) 33 (15.9)
Inuenced by others 19 (9.1) 7 (3.4) 26 (12.5)
Others 20 (9.6) 6 (2.9) 26 (12.5)
Adverts 18 (8.7) 7 (3.4) 25 (12.0)
Free practice games 14 (6.7) 5 (2.4) 19 (9.1)
Table 4. Responses to the question –‘Thinking about the last 12 months
Yes responses [n(%, based on a
total n)]
Male
(n=178)
Female
(n=30)
Total
(n=208)
Have you borrowed money or sold anything to get money to gamble? 135 (64.9) 21 (10.1) 156 (75.0)
Has gambling caused any nancial problems for you and your household? 134 (64.4) 21 (10.1) 155 (74.5)
Has gambling caused you any health problems including stress and anxiety? 120 (57.7) 20 (9.6) 140 (67.3)
Have you needed to gamble with larger amounts of money to get the same feeling of
excitement?
116 (55.8) 21 (10.1) 137 (65.9)
Have you felt that you might have a problem with gambling? 113 (54.3) 21 (10.1) 134 (64.4)
Have you bet more than you could really afford to lose? 110 (52.9) 19 (9.1) 129 (62.0)
Have people criticised your betting or told you that you had a gambling problem regardless of
whether or not you thought it was true?
109 (52.4) 17 (8.2) 128 (61.5)
Have you felt guilty about the way you gamble or what happens when you gamble? 103 (49.5) 20 (9.6) 123 (59.1)
When you gambled, did you go back another day to try and win the money you lost? 94 (45.2) 17 (8.2) 111 (53.4)
A national survey of online gambling behaviours 5
were I am attracted by the sound effects on gambling
websites(40.4% 84 participants), I am attracted by the
graphics on gambling websites(27.4% 57 parti-
cipants) and I prefer online games with large jackpots
(23.1% 48 participants).
Discussion
The aim of this study was to examine online gambling
from an Irish perspective; to examine what online
activities people are engaging with, their reasons for
choosing to gamble online, their attitudes to online
gambling and the consequences of their online
gambling from both a nancial and mental health pers-
pective. As stated previously, this study was adapted
from a previous study conducted by McCormack et al.
(2014), with the aim of replicating this study in an Irish
population. The majority of the respondents were
male (85.6%) which is largely similar to other studies
conducted on this topic (Wardle et al. 2011; Wood &
Williams, 2009).
Females tended to spend more time on average in
a typical gambling session compared with males, which
is surprising given that previous studies have shown
that females tend to spend less time per session
(McCormack et al. 2014) than males. However, if we
look at the median hours spent gambling, females are
spending 1 hour per session compared with males
spending 3 hours per session. This would correlate with
other studies suggesting that females were signicantly
more likely to gamble for less than 1 hour per session
compared with males (McCormack et al. 2014).
The difference in the average values for females
may be reected in the small sample size obtained.
Females were also noted to have been gambling
online for a much shorter duration of time than males
(females median 2 years v. males median 7 years).
This would correlate with previous studies which show
that females generally start gambling at a later
stage than their male counterparts, which would lead to
a shorter duration of years gambling overall (Slutske
et al. 2015).
Table 5. Responses to the question –‘How do you feel about the following statements?
Agree strongly
[n(%)] Agree [n(%)]
Neither agree nor
disagree [n(%)]
Disagree
[n(%)]
Disagree
strongly [n(%)]
The potential dangers of gambling should be
advertised
83 (39.9) 75 (36.1) 20 (9.6) 3 (1.4) 5 (2.4)
Some gambling websites are more trustworthy
than others
58 (27.9) 59 (28.4) 50 (24.0) 12 (5.8) 16 (7.7)
I would prefer to gamble on websites that regularly
tell me how much Ive lost
54 (26.0) 69 (33.2) 47 (22.6) 12 (5.8) 15 (7.2)
Online gambling is more addictive than ofine
gambling
50 (24.0) 59 (28.4) 52 (25.0) 19 (9.1) 8 (3.8)
I would prefer to gamble on websites that regularly
tell me how long I have been playing
40 (19.2) 50 (24.0) 69 (33.2) 17 (8.2) 18 (8.7)
It is easy for children to gamble online 40 (19.2) 56 (26.9) 47 (22.6) 29 (13.9) 16 (7.7)
Gambling advertisements do not inuence my
gambling behaviour
40 (19.2) 51 (24.5) 57 (27.4) 25 (12.0) 14 (6.7)
I would prefer to gamble on websites that have
information about responsible gambling
38 (18.3) 42 (20.2) 86 (41.3) 16 (7.7) 21 (10.1)
I prefer online games with some element of skill 33 (15.9) 42 (20.2) 59 (28.4) 21 (10.1) 31 (14.9)
I tend to spend more gambling using virtual money
(online) than gambling using real money
31 (14.9) 29 (13.9) 43 (20.7) 38 (18.3) 46 (22.1)
I prefer gambling activities that are quick 28 (13.5) 40 (19.2) 62 (29.8) 28 (13.5) 34 (16.3)
I prefer online games that are easy to learn 20 (9.6) 22 (10.6) 74 (35.6) 28 (13.5) 47 (22.6)
If I nearly win in an online game, then I am more
likely to play again
20 (9.6) 49 (23.6) 55 (26.4) 32 (15.4) 30 (14.4)
Online gambling is safe 17 (8.2) 43 (20.7) 41 (19.7) 48 (23.1) 45 (21.6)
I like to gamble against other people online 17 (8.2) 33 (15.9) 48 (23.1) 46 (22.1) 46 (22.1)
I prefer online games with large jackpots 16 (7.7) 26 (12.5) 67 (32.2) 35 (16.8) 48 (23.1)
I am attracted by the graphics on gambling
websites
15 (7.2) 31 (14.9) 51 (24.5) 41 (19.7) 57 (27.4)
I am attracted by the sound effects on gambling
websites
7 (3.4) 8 (3.8) 47 (22.6) 48 (23.1) 84 (40.4)
6D. Columb and C. OGara
There was a tendency towards activities with a live
action component. Examples such as horse racing,
sports betting and dog racing were the most popular
among regular (most days) and non-regular gamblers
(14 times per month and <1 per month), which
suggests the live action component may contribute to
the enjoyment of these activities. This is in line with
previous studies (McCormack et al. 2014; Hing et al.
2016) which identied these activities as the main
gambling activities engaged in by males.
Females tended to be non-regular gamblers com-
pared with male gamblers and engage in more socially
acceptable forms of gambling, such as playing the
lottery or using instant win scratch cards. Females
have been shown to engage more in these activities
compared with their male counterparts (McCormack
et al. 2014; Hing et al. 2016) and, interestingly, use of
instant win scratch cards in females is associated with
an increased risk of problem gambling (Hing et al. 2016).
Accessibility appears to play a key role in the use of
online gambling amongst the participants surveyed.
There is evidence from previous studies that there is a
relationship between the availability of gambling
opportunities online and increased levels of related
problems (Gainsbury, 2015). When asked about what
aspects of the gambling experience were most impor-
tant to them, most participants (both male and female)
stated that the main aspect of the gambling experience
that was important for them was winning money.
However, both males and females tended to highly
value similar aspects of the gambling experience related
to accessibility, namely enjoyment, access and conveni-
ence. This is also reected in the ndings related to
choosing a website where ease of use was noted as the
most important factor when choosing a gambling app
or website for both males and females in our survey.
It is interesting to note that mobile apps were also
the most commonly used device, which would
intuitively be the easiest to access compared with
computers or tablets.
As stated before, participants valued the enjoyment
of the experience as one of the most important aspects
of the gambling experience, with 76.0% of our study
participants citing it as a reason to gamble online.
Enjoyment has also been noted as a frequently cited
reason for gambling online in other studies, with other
studies citing gures between 48.7% (McCormack et al.
2014) and 59.9% (Goldstein et al. 2016) of all partici-
pants. Following on from this, participants were asked
about the emotions they experience when gambling
online. The results were mainly positive emotions,
with the majority of participants stating that they feel
excitement and happiness while gambling. Interest-
ingly, the next most common emotion experienced was
that participants felt no difference when gambling
online, followed then by primarily negative emotions
such as frustration and irritability. We know from
previous studies that gambling to relieve negative mood
states increases the likelihood of problem gambling
(Blaszczynski & Nower, 2002; Matthews et al. 2009;
Nower & Blaszczynski, 2010), which may indicate
problem gamblers identifying with these emotions in
our study.
The main reason for ending a gambling session was
that the participant had something else to do, with the
majority (67.3%) of participants stating this as the main
reason. This nding would correlate with previous
studies (McCormack et al. 2014). However, boredom is
frequently cited in other studies as a main reason to
end gambling sessions (McCormack et al. 2014;
Goldstein et al. 2016) and was cited as one of the least
common reasons in this study. Problem gamblers
have been shown to use gambling as a means to escape
boredom (Lloyd et al.2010a) and the alternative nding
in these studies may reect the higher number
of regular gamblers (>4 times per month) in these
studies compared with our survey.
As mentioned earlier, the majority of participants
stated that ease of use was the most important factor
when choosing a gambling website. The other factors
people identied were free offers advertised and the
brand name gambling websites. The participants in
the study also stated that they nd some gambling
websites more trustworthy than others, and this may be
a large factor into deciding to choose the brand name
websites over other websites. Females were also more
likely to use a website if their friends recommended it,
which has also been found in previous studies
(McCormack et al. 2014).
This survey also looked at the severity and impact of
online gambling in their lives. The questions listed in
the survey were taken from the Problem Gambling
Severity Index (PGSI), a widely used nine item scale for
measuring the severity of gambling problems in the
general population (Currie et al. 2013). The majority of
people surveyed identied with at least one of the
statements listed. The most common impact that
gambling had on the participants lives was nancial,
followed by signicant mental health difculties,
indicating the presence of problem gambling. This is
also reected internationally as only 24.3% of patients
in a recent study by McCormack et al. were identied
as non-problem gamblers, according to the PGSI
(McCormack et al. 2014).
Most of the participants surveyed have never taken
part in any treatment for their gambling behaviours.
We know from previous studies that land based
gamblers are more likely to acknowledge the need for
treatment for gambling addiction (Blaszczynski et al.
2016) compared with online users. Around 80% of all
A national survey of online gambling behaviours 7
participants have never sought any treatment for a
gambling problem. This contrasts with the 64.4% of
participants that felt that they may have a problem with
gambling. This would suggest that, while the majority
of participants can recognise they have a problem, few
are seeking help and treatment for this.
The participants in this survey were also asked
about their attitudes and beliefs in relation to online
gambling. Most participants agreed with statements
that would help minimise the harmful effect of online
gambling, such as wanting the potential dangers of
online gambling advertised and websites to state how
long someone has been playing or how much they have
lost. The participants also stated that that they felt
that online gambling was more addictive than ofine
gambling and that some gambling websites are more
trustworthy than others. This level of agreement would
suggest that online gamblers would welcome certain
restrictions and warning on gambling websites in order
to minimise the impact they can potentially have.
The participants tended to disagree that they were
attracted to websites by the sound effects or graphics.
This would support the suggestion that online
gamblers generally are not attracted to the physical
appearance of the site or other commonly used
methods to entice people to a website including cele-
brity endorsement. This nding would be in line with
other previous studies (McCormack et al. 2014).
There are some limitations identied in this study.
Given that this is a self-report online study, it may be
difcult to interpret the results as problem gamblers have
been shown to have difculty estimating their gambling
experiences, especially the gamblers with higher losses
(Auer & Grifths, 2016). Ideally this study would
also look for signicant differences between genders.
However, given the low overall number of female parti-
cipants, the study would not yield accurate statistical
differences. Further, large-scale studies would be needed
to identify gender differences in relation to online gam-
bling. There is also a risk of selection bias with this online
survey, given that it is more likely to attract online gam-
blers with some strong opinions around online gambling,
as well as some insight into their gambling difculties.
In conclusion, this survey has shown that online
gamblers in Ireland share similar behavioural
proles to online gamblers in the United Kingdom and
worldwide. There are many people in Ireland suffering
from nancial and mental health difculties related to
online gambling and there is a desire amongst this
cohort to have the dangers of online gambling adver-
tised on these websites in order to limit the damage
they can cause. We have identied different factors that
contribute to problems with online gambling such as
the emotions experienced during online gambling and
the reasons for starting and ending online gambling
sessions. Further studies are needed to explore these
ndings and their usefulness as possible targets for
intervention to reduce levels of problem gambling.
Acknowledgements
The authors wish to acknowledge the contribution of
Dr Emma McAdams, who contributed to the format-
ting of results of the survey, as well as Dr Barbara
Dooley who contributed to the study design and
request for ethical approval.
Financial Support
This research received no specic grant from any
funding agency, commercial or not-for-prot sectors.
Conicts of Interest
The authors declare that there are no conicts of
interest.
Ethical Standards
The authors assert that all procedures contributing to this
work comply with the ethical standards of the relevant
national and institutional committee on human experi-
mentation with the Helsinki Declaration of 1975, as
revised in 2008. The study protocol was approved by the
ethic committee of UCD Ofce of Research Ethics, Roe-
buck Castle, University College Dublin, Beleld, Dublin 4.
Supplementary material
To view supplementary material for this article, please
visit https://doi.org/10.1017/ipm.2017.64
References
Auer M, Grifths MD (2016). Self-reported losses versus
actual losses in online gambling: an empirical study. Journal
of Gambling Studies 33, 795806.
Barrault S, Varescon I (2016). Online and live regular poker
players: do they differ in impulsive sensation seeking and
gambling practice? Journal of Behavioural Addictions 5,4150.
Blaszczynski A, Nower L (2002). A pathways model of
problem and pathological gambling. Addiction 97, 48799.
Blaszczynski A, Russell A, Gainsbury S, Hing N (2016).
Mental health and online, land-based and mixed gamblers.
Journal of Gambling Studies 32, 261275.
Chóliz M (2016). The challenge of online gambling: the effect
of legalization on the increase in online gambling addiction.
Journal of Gambling Studies 32, 749756.
Costes JM, Kairouz S, Eroukmanoff V, Monson E (2016).
Gambling patterns and problems of gamblers on licensed
and unlicensed sites in France. Journal of Gambling Studies
32,7991.
8D. Columb and C. OGara
Currie SR, Hodgins DC, Casey DM (2013). Validity of the
problem gambling severity index interpretive categories.
Journal of Gambling Studies 29, 311327.
Gainsbury S (2015). Online gambling addiction: the
relationship between internet gambling and disordered
gambling. Current Addiction Reports 2, 185193.
Gainsbury SM, Russell A, Blaszczynski A, Hing N (2015).
Greater involvement and diversity of internet gambling as a
risk factor for problem gambling. European Journal of Public
Health 25, 723728.
Goldstein A, Vilhena-Churchill N, Stewart S, Hoaken P,
Flett G (2016). Mood, motives, and money: an examination
of factors that differentiate online and non-online young
adult gamblers. Journal of Behavioural Addictions 5,6876.
Hing N, Russell A, Tolchard B, Nower L (2016). Risk factors
for gambling problems: an analysis by gender. Journal of
Gambling Studies 32, 511534.
Jazaeri SA, Habil MH (2012). Reviewing two types of
addiction pathological gambling and substance use. Indian
Journal of Psychological Medicine 34,511.
Kairouz S, Paradis C, Nadeau L (2012). Are online gamblers
more at risk than ofine gamblers? Cyberpsychology,
Behaviour, and Social Networking 15, 175180.
King SA, Barak A (1999). Compulsive internet gambling: a
new form of an old clinical pathology. Cyberpsychology,
Behaviour, and Social Networking 2, 44156.
LaPlante DA, Nelson SE, Gray HM (2014). Breadth and depth
involvement: understanding internet gambling involvement
and its relationship to gambling problems. Psychology of
Addictive Behaviours 28, 396403.
Lloyd J, Doll H, Hawton K, Dutton WH, Geddes JR,
Goodwin GM, Rogers RD (2010a). How psychological
symptoms relate to different motivations for gambling:
an online study of internet gamblers. Biological Psychiatry
68, 733740.
Lloyd J, Doll H, Hawton K, Dutton WH, Geddes JR,
Goodwin GM, Rogers RD (2010b). Internet gamblers:
a latent class analysis of their behaviours and health
experiences. Journal of Gambling Studies 26, 387399.
Matthews N, Farnsworth B, Grifths MD (2009). A pilot
study of problem gambling among student online gamblers:
mood states as predictors of problematic behaviour.
Cyberpsychology, Behaviour and Social Networking
12, 741745.
McCormack A, Shorter GW, Grifths MD (2013). An
examination of participation in online gambling activities
and the relationship with problem gambling. Journal of
Behavioural Addictions 2,3141.
McCormack A, Shorter GW, Grifths MD (2014). An
empirical study of gender differences in online gambling.
Journal of Gambling Studies 30,7188.
Nower L, Blaszczynski A (2010). Gambling motivations,
money-limiting strategies, and precommitment preferences
of problem versus non-problem gamblers. Journal of
Gambling Studies 26, 361372.
Planzer S, Gray HM, Shaffer HJ (2014). Associations between
national gambling policies and disordered gambling
prevalence rates within Europe. International Journal of Law
and Psychiatry 37, 21729.
Scholes-Balog KE, Hemphill SA (2012). Relationships
between online gambling, mental health, and substance use:
a review. Cyberpsychology, Behaviour, and Social Networking
15, 688692.
Slutske W, Piasecki T, Deutsch A, Statham D, Martin N
(2015). Telescoping and gender differences in the time
course of disordered gambling: evidence from a general
population sample. Addiction 110, 144151.
Wardle H, Moody A, Spence S, Orford J, Volberg R,
Jotangia D, Grifths M, Hussey D, Dobbie F (2011).
British Gambling Prevalence Survey 2010. HMSO: London.
Wood RT, Grifths MD (2015). Understanding positive
play: an exploration of playing experiences and responsible
gambling practices. Journal of Gambling Studies 31,
17151734.
Wood RT, Williams RJ (2009). Internet gambling: prevalence,
patterns, problems, and policy options. Final Report
prepared for the Ontario Problem Gambling Research
Centre, Guelph, Ontario, Canada. 5 January 2009.
A national survey of online gambling behaviours 9
... Studies have shown that younger individuals, particularly those aged 15-26, are at a heightened risk for gambling disorders, often due to their greater exposure to online gambling platforms and the influence of peer behaviors (Marmet et al., 2021;Pallesen et al., 2021). Furthermore, gender differences have been observed, with males generally exhibiting higher rates of gambling participation and addiction compared to females (Columb and O'Gara, 2017;Pallesen et al., 2021). The social environment, including peer pressure and the normalization of gambling behaviors through social media and influencer marketing, can further exacerbate the risk of addiction among young people (Serna, 2023;Vallé s et al., 2021). ...
... Many individuals who develop problematic gambling behaviors often find themselves in significant debt, which can lead to a range of negative consequences, including loss of employment, strained relationships, and even criminal behavior to fund their gambling habits (Elie, 2023;Winarsih and Salsabila, 2022). In Indonesia, where economic disparities exist, the financial repercussions of gambling addiction can be particularly devastating, affecting not only the individuals but also their families and communities (Columb and O'Gara, 2017). The normalization of gambling through online platforms further complicates this issue, as individuals may underestimate the risks involved, leading to reckless financial decisions (Gainsbury, 2015). ...
Article
Full-text available
The rise of online gambling in Indonesia has emerged as a significant public health concern, driven by various psychological, social, and regulatory factors. Despite stringent laws prohibiting gambling, the accessibility and appeal of online platforms have led to increased participation, particularly among young adults. This phenomenon is characterized by a paradoxical sense of control that users feel while gambling online, which can lead to compulsive behaviors and addiction. The structural characteristics of online gambling platforms, including fast-paced games and easy accessibility, further exacerbate this issue. Social influences, particularly through social media and peer interactions, normalize gambling behaviors, making them more appealing to adolescents. Mental health issues, such as anxiety and depression, are closely linked to online gambling addiction, as individuals may use gambling as a coping mechanism. The COVID-19 pandemic has intensified these challenges, with many individuals turning to online gambling for entertainment during lockdowns. To address the growing prevalence of online gambling addiction, comprehensive regulatory frameworks are needed, alongside responsible gambling initiatives and public awareness campaigns. Collaboration among stakeholders, including government agencies, healthcare providers, and gambling operators, is crucial for effective intervention. Continuous monitoring and evaluation of online gambling trends will inform future policies and help identify emerging risks. By adopting a multifaceted approach, Indonesian policymakers and stakeholders can work towards minimizing the risks associated with online gambling and fostering a healthier environment for its citizens.
... In addition to structural characteristics of gambling formats, gambling behavior is motivated by a number of interrelated psychological and social factors (Lloyd et al., 2010). Some researchers described winning money, need for enjoyment and demonstrating skills as frequent reasons to gamble online, in opposition to land-based gambling, which seems to be motivated by social reasons and desire for excitement (Columb & O'Gara, 2018;Goldstein et al., 2016). Again, though, these studies do not assess what might lead someone who gambles in land-based venues to migrate toward online gambling. ...
... As noted in the introduction, cross-sectional studies have shown that online gambling may be motivated by the desire to win money, need for enjoyment, and the desire to demonstrate or develop one's skills (Columb & O'Gara, 2018;Goldstein et al., 2016). Our longitudinal analyses reveal certain nuances to these results. ...
Article
Full-text available
Online gambling is associated with higher levels of problem gambling and an array of adverse mental health characteristics. No longitudinal study has identified factors that lead people who gamble in land-based venues to migrate toward online gambling, keeping accessibility to land-based venues constant (i.e., not in the context of a pandemic lockdown). This study involved 3,753 Canadian adults who gambled but not online. One year later, 367 had started gambling online, falling into three groups - lottery players, sports betters, and casino players. Mental health, substance use, gambling motivations, and gambling involvement intensity assessed at both time-points, were used as prospective and concurrent predictors of follow-up online gambling. Results distinguished risk factors that precede the migration to online gambling from those that may appear concurrently. Males with substance use disorders and females with anxiety disorders and who gamble to escape are particularly likely to migrate to riskier forms of gambling.
... These activities can also negatively impact certain aspects of a person's mental health and economic stability. However, today we see an increase in the number and variety of forms of play in everyday life, both overt and covert (Columb & O'Gara, 2018;Cunningham et al., 2019). ...
Article
Full-text available
This study aims to evaluate the effect of online gambling on mental health in a group of teenagers in Panimbang District, Banten. The research was conducted to understand the impact of online gambling activities on the mental well-being of teenagers, focusing on factors such as stress, anxiety, depression and impulsive behavior. Survey and interview methods were used to collect data from selected samples, which included teenagers aged 15-19 years who were involved in online gambling activities. The results of this research indicate that engaging in online gambling has a negative impact on the mental health of adolescents in Panimbang District. Respondents who were involved in online gambling tended to experience higher levels of stress and anxiety than those who were not involved. Apart from that, the level of depression was also found to be higher in the group of teenagers who were involved in online gambling. This research also shows a positive correlation between online gambling activities and impulsive behavior. Teenagers who engage in online gambling tend to exhibit higher levels of impulsive behavior, which can impact their decisions in everyday life. These findings underscore the importance of awareness of the negative impact of online gambling on adolescent mental health. Preventive and intervention steps need to be taken to reduce the risk of these negative impacts.
... The lower percentage could have led to less potential matches. Several previous studies have reported lower percentages of females being online gamblers compared to males (e.g., Columb & O'Gara, 2018;McCormack et al., 2014). ...
Article
Full-text available
A number of scholars have argued that online gambling can be more problematic than land-based gambling. Motivating gamblers to withdraw money from their online gambling account could lower losses because there would be less money available to lose. Therefore, the present study investigated whether personalized messages are an effective way of ‘nudging’ gamblers to withdraw money from their online gambling account. The authors were given access to a secondary dataset by Nederlandse Loterij (the national Dutch Lottery operator) comprising 4049 online gamblers. Two types of messages were used to ‘nudge’ gamblers to withdraw money from their gambling account (i.e., a ‘winning streak’ message and a ‘withdrawal’ message). The findings indicated that (i) 38% of gamblers reading the ‘winning streak’ messages withdrew money from their gambling account on the same day, and (ii) 18% of gamblers reading the ‘withdrawal’ messages withdrew money from their gambling account on the same day. Gamblers who read personalized messages also withdrew larger amounts of money from their gambling accounts compared to gamblers who did not read personalized messages. The findings suggest that the personalized messages can have an impact on both the likelihood to withdraw money as well as the amount of money which was withdrawn and could help reduce gambling-related harm.
Chapter
Human behavior in cyber space is extremely complex. Change is the only constant as technologies and social contexts evolve rapidly. This leads to new behaviors in cybersecurity, Facebook use, smartphone habits, social networking, and many more. Scientific research in this area is becoming an established field and has already generated a broad range of social impacts. Alongside the four key elements (users, technologies, activities, and effects), the text covers cyber law, business, health, governance, education, and many other fields. Written by international scholars from a wide range of disciplines, this handbook brings all these aspects together in a clear, user-friendly format. After introducing the history and development of the field, each chapter synthesizes the most recent advances in key topics, highlights leading scholars and their major achievements, and identifies core future directions. It is the ideal overview of the field for researchers, scholars, and students alike.
Chapter
Human behavior in cyber space is extremely complex. Change is the only constant as technologies and social contexts evolve rapidly. This leads to new behaviors in cybersecurity, Facebook use, smartphone habits, social networking, and many more. Scientific research in this area is becoming an established field and has already generated a broad range of social impacts. Alongside the four key elements (users, technologies, activities, and effects), the text covers cyber law, business, health, governance, education, and many other fields. Written by international scholars from a wide range of disciplines, this handbook brings all these aspects together in a clear, user-friendly format. After introducing the history and development of the field, each chapter synthesizes the most recent advances in key topics, highlights leading scholars and their major achievements, and identifies core future directions. It is the ideal overview of the field for researchers, scholars, and students alike.
Article
This systematic review examines the ravaging effects of online gambling on the social functioning of male breadwinners in African families. Online gambling negatively impacts the social functioning of male breadwinners in African families. The researcher realized that online gambling among male African breadwinners leads to habitual neglect of the family and deterioration in socialization. As a result, the way African families function socially is often changed negatively by the male gambler's behaviour. Additionally, because these men are seen as the heads of the families and superiors in their communities, families are further burdened as they fear confronting the situation. The researcher adopted the PRISMA methods for this paper. Based on their excellent reputation and strong recommendations, the researcher used the following scientific search databases to gather data for this study: Google Scholar; Taylor and Francis; Scopus, ScienceDirect, and ResearchGate. The researcher gathered 23 peer-reviewed journal articles, published between 2011 and 2024, and verified them after screening to ensure the study's eminence. Online gambling is growing daily across the globe, particularly in African continents. Some families rely on online gambling for survival due to the poverty rate and high unemployment among African communities. Male breadwinners are opting for online gambling to support their families financially despite its addictive nature and lack of monitoring in many parts of Africa. Because online gambling is so addictive, some male breadwinners find that they spend less time with their families, being more focused on gaming. This study is pivotal as it creates awareness in African continents about the ravaging effects of online gambling among male breadwinners. This study can be further expanded by focusing on African continents, especially in South Africa, where online gaming has been recorded as high in the past few years among males.
Article
People with mental health problems are more likely to experience problems due to gambling, an intersection of two sources of social disadvantage. However, the mechanisms by which this occurs remain unclear. Analysing if choices while gambling differ for people with mental health problems, and whether these differences involve characteristics linked with gambling harms, can improve this understanding. Evidence on this is limited because most studies rely on survey questions or aggregate data which are either self-reported, unlikely to allow for identification of separate features of gambling options, or do not observe the full set of options people are choosing between. Discrete Choice Experiments can circumvent these issues by observing the gambling environment and individual's gambling choices. This study uses a Discrete Choice Experiment to analyse people's choices while gambling, and if these differ for people with mental health problems. Participants were offered a series of 6 choice sets representing online gambling on horse racing; each presented two hypothetical horse races, both with eight horses, differing in the information they provided. Participants chose which race (if any) and horse they would bet on. The choices were modelled using mixed logit models. People with mental health problems had (i) a lower preference for betting on races with information about horses' recent form and (ii) preferred betting on horses with higher odds. (i) Could indicate that they put less thought into their bet, a sign of gambling as an escape. (ii) Could indicate that they are more risk seeking. These are two gambling characteristics linked with problems due to gambling and are plausible mechanisms by which people with mental health problems may be more likely to develop problems due to gambling.
Article
With the rapid development of information and communication technology, online gambling has flourished in Taiwan and caused severe social problems. Online gambling is often combined with various crimes, such as organized crime, fraud, and money laundering, severely affecting social security. Moreover, as the exponential development of technology has given rise to many high-tech crime tools, the police force has encountered many investigation challenges. This paper intends to understand crime and investigate the patterns of online gambling websites through case studies. It is found that online gambling operators have invented a sophisticated business model to circumvent police investigations and to facilitate their defense in the future. This paper summarizes and analyzes the modus operandi and police investigation model and puts forward recommendations on the current difficulties for the reference of practical criminal justice personnel.
Article
Full-text available
Many research findings in the gambling studies field rely on self-report data. A very small body of empirical research also suggests that when using self-report, players report their gambling losses inaccurately. The aim of the present study was to evaluate the differences between objective and subjective gambling spent data by comparing gambler’s actual behavioral tracking data with their self-report data over a 1-month period. A total of 17,742 Norwegian online gamblers were asked to participate in an online survey. Of those surveyed, 1335 gamblers answered questions relating to gambling expenditure that could be compared with their actual gambling behavior. The study found that the estimated loss self-reported by gamblers was correlated with the actual objective loss and that players with higher losses tended to have more difficulty estimating their gambling expenditure (i.e., players who spent more money gambling also appeared to have more trouble estimating their expenses accurately). Overall, the findings demonstrate that caution is warranted when using self-report data relating to amount of money spent gambling in any studies that are totally reliant on self-report data.
Article
Full-text available
Background and aims Online gambling appears to have special features, such as anonymity, speed of play and permanent availability, which may contribute to the facilitation and increase in gambling practice, potentially leading to problem gambling. The aims of this study were to assess sociodemographic characteristics, gambling practice and impulsive sensation seeking among a population of regular poker players with different levels of gambling intensity and to compare online and live players. Methods 245 regular poker players (180 online players and 65 live players) completed online self-report scales assessing sociodemographic data, pathological gambling (SOGS), gambling practice (poker questionnaire) and impulsive sensation seeking (ImpSS). We used SOGS scores to rank players according to the intensity of their gambling practice (non-pathological gamblers, problem gamblers and pathological gamblers). Results All poker players displayed a particular sociodemographic profile: they were more likely to be young men, executives or students, mostly single and working full-time. Online players played significantly more often whereas live players reported significantly longer gambling sessions. Sensation seeking was high across all groups, whereas impulsivity significantly distinguished players according to the intensity of gambling. Discussion Our results show the specific profile of poker players. Both impulsivity and sensation seeking seem to be involved in pathological gambling, but playing different roles. Sensation seeking may determine interest in poker whereas impulsivity may be involved in pathological gambling development and maintenance. Conclusions This study opens up new research perspectives and insights into preventive and treatment actions for pathological poker players.
Article
Full-text available
Background and aims To date, there is a lack of research on psychological factors associated with young adult online gambling. The current study examined differences between young adult online and non-online gamblers, using information gathered at baseline and over 30 days during which participants reported on their moods, gambling behaviors, and reasons for initiating and discontinuing gambling. Methods Participants were 108 young adult regular gamblers (i.e., gambling four or more times in the past month) who participated in a 30-day daily diary study. Results Male gender, baseline coping motives for gambling and negative affect averaged across the 30 days emerged as significant correlates of online gambling, over and above other background variables. Online gamblers also scored higher on a baseline measure of pathological gambling. Over the 30 days of self-monitoring, online gamblers spent more time gambling, and won more money gambling, whereas non-online gamblers consumed more alcohol while gambling. Online gambling was more often initiated to make money, because of boredom and to demonstrate skills, whereas non-online gambling was more often initiated for social reasons and for excitement. Online gambling was more often discontinued because of boredom, fatigue or distress, whereas non-online gambling was discontinued because friends stopped gambling or mood was improved. Discussion and conclusions This study provides preliminary evidence that coping strategies may be particularly important to reduce risks for online gamblers, whereas strategies for non-online gamblers should focus on the social aspects of gambling.
Article
Full-text available
It is possible that the growth and promotion of online gambling will result in substantially increased use of these types of games in countries where they are legal. This may be especially true for young people due to their interest in such games. In this context, it is important to note that online gambling is more addictive than any other type of game due its structural characteristics, such as immediacy, accessibility, ease of betting, and so on. This study examined the effect of online gambling in Spain 2 years after its legalization. The sample included 1277 pathological gamblers in recovery at 26 gambling addiction treatment centers. Our results showed a significant increase in young pathological gamblers since the legalization of this activity. This is a very relevant issue because, as in the case of Spain, many countries are currently in process of legalization of many types of online games. Scientific research can be useful to adapt the adequate gambling policies in order to prevent the gambling addiction.
Article
Full-text available
Differences in problem gambling rates between males and females suggest that associated risk factors vary by gender. Previous combined analyses of male and female gambling may have obscured these distinctions. This study aimed to develop separate risk factor models for gambling problems for males and for females, and identify gender-based similarities and differences. It analysed data from the largest prevalence study in Victoria Australia (N = 15,000). Analyses determined factors differentiating non-problem from at-risk gamblers separately for women and men, then compared genders using interaction terms. Separate multivariate analyses determined significant results when controlling for all others. Variables included demographics, gambling behaviour, gambling motivations, money management, and mental and physical health. Significant predictors of at-risk status amongst female gamblers included: 18-24 years old, not speaking English at home, living in a group household, unemployed or not in the workforce, gambling on private betting, electronic gaming machines (EGMs), scratch tickets or bingo, and gambling for reasons other than social reasons, to win money or for general entertainment. For males, risk factors included: 18-24 years old, not speaking English at home, low education, living in a group household, unemployed or not in the workforce, gambling on EGMs, table games, races, sports or lotteries, and gambling for reasons other than social reasons, to win money or for general entertainment. High risk groups requiring appropriate interventions comprise young adults, especially males; middle-aged female EGM gamblers; non-English speaking populations; frequent EGM, table games, race and sports gamblers; and gamblers motivated by escape.
Article
Full-text available
One of the most significant changes to the gambling environment in the past 15 years has been the increased availability of Internet gambling Internet, including mobile, gambling is the fastest growing mode of gambling and is changing the way that gamblers engage with this activity. Due to the high level of accessibility, immersive interface, and ease at which money can be spent, concerns have been expressed that Internet gambling may increase rates of disordered gambling. The current paper aimed to provide an overview of the research to date as well as highlight new and interesting findings relevant to Internet gambling addiction. A comprehensive review was conducted of existing literature to provide an overview of significant trends and developments in research that relates to disordered Internet gambling. This paper presents research to inform a greater understanding of adult participation in Internet gambling, features of this interface that may impact problem severity, the relationship between Internet gambling and related problems, as well as considering the role of the wider spectrum of gambling behaviour and relevant individual factors that moderate this relationship.
Article
Full-text available
In 2010 France enacted a law to regulate supply and consumption of online gambling. Its primary aim was to protect citizens from gambling-related harm. This study aims to assess differences in gambling patterns and related harm between online gamblers who use licensed versus unlicensed sites. Participants (N = 3860) completed a self-administered online survey on gambling practices. Pairwise logistic regressions examined the association between the legal statuses of gambling sites people patronized and demographic variables and gambling types. Multivariate logistic regression models explored associations between gambling patterns and related problems according to the legal status of sites people have gambled on. Overall, 53.7 % of online gamblers report gambling exclusively on licensed sites. Those who bet on regulated activities on unlicensed sites, versus licensed sites, are more likely to be female, younger, less educated, inactive in the labor market and are more likely to perceive their financial situation to be difficult. Gambling on unlicensed sites is associated with more intense gambling patterns and more gambling-related problems compared to licensed sites. Findings demonstrate that gambling activities carried out on state licensed sites are associated with less overall harm to gamblers. Implications of these findings on future policy are discussed and prospective research directions are outlined.
Article
Full-text available
Concerns that Internet gambling has elevated the prevalence of problem gambling have not been substantiated; however, evidence suggests a subgroup of Internet gamblers do experience higher rates of gambling harms. Greater overall involvement in gambling appears to be predictive of harms. The purpose of this study was to examine differences between Internet gamblers with a single or multiple online gambling accounts, including their gambling behaviours, factors influencing their online gambling and risk of experiencing gambling problems. Internet gamblers (3178) responding to an online survey that assessed their gambling behaviour, and use of single or multiple online gambling accounts. Results revealed that multiple account holders were more involved gamblers, gambling on more activities and more frequently, and had higher rates of gambling problems than single account holders. Multiple account holders selected gambling sites based on price, betting options, payout rates and game experience, whereas single account holders prioritized legality and consumer protection features. Results suggest two different types of Internet gamblers: one motivated to move between sites to optimize preferred experiences with a tendency to gamble in a more volatile manner; and a smaller, but more stable group less influenced by promotions and experiences, and seeking a reputable and safe gambling experience. As the majority of Internet gamblers use multiple accounts, more universal responsible gambling strategies are needed to assist gamblers to track and control their expenditure to reduce risks of harm. © The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.
Article
Although high rates of problem gambling have been identified among Internet gamblers, most studies have failed to identify the relative contribution of multiple forms of gambling as opposed to the exclusive participation in online forms. The aim of this study was to investigate differences in mental health status in exclusive online, exclusive land-based, and mixed Internet and land-based samples of gamblers drawn from the general population. A sample of 4594 respondents completing an online survey were categorised as exclusive online, land-based and mixed form gamblers. Participants completed a questionnaire eliciting demographic details, participation on all forms of gambling, use of alcohol, tobacco and drugs, help-seeking, and personal problems experienced due to gambling, as well as measures of problem gambling and psychological distress. Findings indicated that mixed gamblers exhibited higher problem gambling scores, level of gambling involvement, and consumption of alcohol during gambling than exclusive online gamblers. Land-based gamblers experienced higher levels of psychological distress, self-acknowledged need for treatment, and help-seeking behaviour. These findings suggest that exclusive online gamblers represent a different subpopulation at lower risk of harm compared to gamblers engaging in multiple forms. Understanding the characteristics of different problem gambling subpopulations may inform the development of more effective targeted interventions.
Article
This study is one of the first to explore in detail the behaviors, attitudes and motivations of players that show no signs of at-risk or problem gambling behavior (so-called 'positive players'). Via an online survey, 1484 positive players were compared with 209 problem players identified using the Lie/Bet screen. The study identified two distinct groups of positive players defined according to their motivations to play and their engagement with responsible gambling (RG) practices. Those positive players that played most frequently employed the most personal RG strategies. Reasons that positive players gave for gambling were focused on leisure (e.g., playing for fun, being entertained, and/or winning a prize). By contrast, problem gamblers were much more focused upon modifying mood states (e.g., excitement, relaxation, depression and playing when bored or upset). The present study also suggests that online gambling is not, by default, inherently riskier than gambling in more traditional ways, as online gambling was the most popular media by which positive players gambled. Furthermore, most positive players reported that it was easier to stick to their limits when playing the National Lottery online compared to traditional retail purchasing of tickets. Problem players were significantly more likely than positive players to gamble with family and friends, suggesting that, contrary to a popular RG message, social play may not be inherently safer than gambling alone. It is proposed that players (generally) may identify more with the term 'positive play' than the term 'RG' which is frequently interpreted as being aimed at people with gambling problems, rather than all players.