MEDIA RELEASE
More than Half of Singapore Gambles;
But Only 2 in 100 at
Risk of Gambling Addiction
A Ministry of Community Development, Youth and Sports (MCYS) survey conducted from December 2004 to February 2005 found that 58% of Singapore residents aged 18 years and above have taken part in some form of gambling activity over a one year period.
However, only a small minority of 2.1% reported symptoms suggesting probable pathological gambling. This is comparable to the results of similar studies in Hong Kong and Macau, which are also majority-Chinese urban societies.
CAMP, which stands for the Community Addictions Management Programme, has a treatment programme for gamblers with problems. Since 2002, it has seen only about 90 cases. This suggests that most depend on the support of their families and friends, and from the community in general. However, some may not have come forward to seek help.
Overall, the survey findings show that gambling is prevalent among Singaporeans. However, only a small minority may be at risk of being addicted to gambling. Nevertheless, more can be done to address the problem.
Government measures to tackle gambling problems will be announced in Parliament next week.
Please see attached report at Annex on the survey findings
ISSUED BY MINISTRY OF COMMUNITY DEVELOPMENT, YOUTH AND SPORTS
13 APRIL 2005
REPORT ON THE SURVEY FINDINGS
1. The objectives of the MCYS survey, conducted between December 2004 and February 2005, were to:
a) Assess the extent and pattern of gambling among Singapore residents aged 18 years and above;
b) Assess the prevalence and profile of probable problem and pathological gamblers (PPGs); and
c) Provide inputs for the development of preventive, treatment and support services for pathological gamblers.
2. Screening questions were included in the survey to identify symptoms suggestive of probable pathological gambling, or in layman’s terms, those who may be at risk of gambling addiction. These questions were based on an internationally established diagnostic tool (DSM-IV1 ) used in similar studies in Hong Kong2 and Macau3 . The questions were further refined with professional inputs from the staff of the Community Addictions Management Programme (CAMP) at Institute of Mental Health (IMH) who have been treating local problem gamblers.
3. Details on the design and methodology of the study are provided at Appendix 1.
Participation in Gambling Activities
4. Overall, 58% of Singapore residents aged 18 and above reported that they have participated in at least one form of gambling activity over the last 12 months. This is lower than the gambling participation rate reported in Hong Kong (78%) and Macau (68%).
5. Groups with relatively higher gambling participation included (See Table 1, Appendix 2):
- Chinese (68%);
- Residents aged 30 to 49 years (63%-69%);
- Residents with post-secondary education (66%-67%); and
- Residents with average monthly personal income of $2,000 or more (70%-74%).
1 Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV). See Appendix 3 for details.
2 Hong Kong’s Home Affairs Bureau commissioned the Hong Kong Polytechnic University to conduct a study of the Hong Kong people’s participation in gambling activities in 2001/2.
3 The University of Macau conducted a study on gambling participation in Macau in 2003.
6. In terms of participation by types of gambling activities, lotteries - 4D (53%), Toto (39%) and Singapore Sweep (31%) - were the most popular among residents. Social gambling, which refers to playing mahjong, card games or other games with friends or relatives involving money, was a distant fourth (17%). (See Table 2, Appendix 2.)
7. The median monthly betting amount on games in the last 12 months was $83. Sports betting ($200) ranked top in terms of median monthly betting amount by game. (See Table 3 in Appendix 2.). The median monthly betting amount is higher for those with higher personal incomes. (See Table 4 in Appendix 2.)
8. Some 63% of the respondents first gambled at 24 years old or below. Most started with 4D (64%) or social gambling (20%). (See Tables 5 and 6 in Appendix 2.)
Probable Problem and Pathological Gambling
9. Based on the screening criteria (at Appendix 3), 2.1% of respondents were classified as probable pathological gamblers. These respondents had responded positively to questions relating to 5 or more of the screening criteria. This figure is comparable to the rate reported in Hong Kong (1.9%) and Macau (1.8%). Among this group, some could be more severe cases who may require specialized help and treatment by gambling addiction counselors (See Table 7 in Appendix 2.)
10. Specifically, higher prevalence of probable pathological gambling was found among (See Table 8 in Appendix 2):
- Males (3.1%)
- Chinese (2.7%);
- Those aged 30 to 49 years (3.3 - 4.3%);
- Those with “A?level/polytechnic and below education (2.3 - 3.2%); and
- Those earning $2,000 or more (4.2% - 5.9%).
11. Another 2.0% had responded positively to questions relating to 3 or 4 of the screening criteria, and were classified in the less severe category of probable problem gamblers. This figure is lower than the rates reported in Hong Kong (4.0%) and comparable to that reported in Macau (2.5%).
12. The most popular games among probable pathological gamblers, in decreasing order of popularity are: 4D (91%), Toto (70%) and social gambling (65%).
13. The median monthly betting amount of probable pathological gamblers was $400. In comparison, the median monthly betting amount among all gamblers was much lower, at $83. (See Table 9 in Appendix 2).
14. In terms of gambling frequency, all probable pathological gamblers reported having gambled at least once a week in the last 12 months, whereas 30% of all gamblers gambled less than once a week, and the remaining 70% at least once a week. (See Table 10 in Appendix 2.)
15. Relatively higher proportions of probable pathological gamblers started gambling regularly (at least once a week) from 18 ?29 years. (See Table 11 in Appendix 2.)
16. Further details of the above findings are provided at Appendix 2.
SURVEY METHODOLOGY
Questionnaire Design
1. The survey was conducted via face-to-face interviews. The screening questions to detect probable problem and pathological (PPG) gamblers were based on diagnostic criteria in the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) developed by the American Psychiatric Association (APA)4 . The same diagnostic criteria were used in similar studies in Hong Kong5 , Macau6 and the United States7 . The screening questions for problem and pathological gambling were further refined with professional inputs from staff of the Community Addictions Management Programme (CAMP) at Institute of Mental Health (IMH) who have been treating problem and pathological gamblers.
Sampling and Data Weighting
2. A probability disproportionate stratified sampling method was used to select the subjects. From a sampling frame of residents?addresses, a randomly selected sample of 2,004 Singapore residents was interviewed using a structured questionnaire between December 2004 and February 2005. The minority ethnic groups were over-sampled to allow for meaningful analysis.
3. The survey achieved a response rate of 90%, thus ensuring that the results were representative. Post-survey weightings were applied based on corresponding cohort proportions from published resident figures by the Department of Statistics as of June 2004.
Qualifications and mitigating factors
4. Given that the main instrument used in the study is a survey, we can only capture “self-professed?behaviour rather than actual behaviour. Some respondents could find the questions on personal participation and gambling patterns sensitive. To mitigate this, surveyors were asked to assure interviewees about the strict confidentiality of individual responses at two prescribed junctures of each interview.
5. A statistical test on the reliability of the tool revealed that the screening questions were reasonably consistent (Cronbach’s alpha of 0.87).
4 A clinical validation test had been conducted in the US as part of the refinement process of the DSM-IV diagnostic tool on problem and pathological gambling. Gerstein, D. R., R. A. Volberg, M. T. Toce, H. Harwood et al. 1999. Gambling Impact and Behavior Study: Report to the National Gambling Impact Study Commission. Chicago, IL: National Opinion Research Center at the University of Chicago. Toce-Gerstein, Marianna, Dean R. Gerstein & Rachel A. Volberg. 2003. "A Hierarchy of Gambling Disorders in the General Population," Addiction 98: 1661-1672.
5 Hong Kong’s Home Affairs Bureau commissioned the Hong Kong Polytechnic University to conduct a study of Hong Kong people’s participation in gambling activities in 2001/2.
6 The University of Macau conducted a study on gambling participation in Macau in 2003.
7 Gerstein, D. R., R. A. Volberg, M. T. Toce, H. Harwood et al. 1999. Gambling Impact and Behavior Study: Report to the National Gambling Impact Study Commission. Chicago, IL: National Opinion Research Center at the University of Chicago.
DETAILED SURVEY FINDINGS
Table 1 ?Gambling Participation Rates
by Demographic Groups (%) in the last 12 months
|
% |
|
|
Overall |
58 |
|
Ethnicity |
|
|
Chinese |
68 |
|
Malay |
12 |
|
Indian |
30 |
|
Gender |
|
|
Male |
61 |
|
Female |
56 |
|
Age Group (Years) |
|
|
18 to 29 |
47 |
|
30 to 39 |
63 |
|
40 to 49 |
69 |
|
50 to 59 |
57 |
|
60 and above |
52 |
|
Highest Education Level |
|
|
PSLE and below |
60 |
|
GCE ‘O?Level/ ITE/ VITB |
53 |
|
GCE ‘A?Level or Polytechnic |
67 |
|
University Degree and above |
66 |
|
Monthly Personal Income ($) |
|
|
No Income |
50 |
|
1 ?999 |
50 |
|
1,000 ?1,999 |
63 |
|
2,000 ?2,999 |
72 |
|
3,000 ?3,999 |
70 |
|
4,000 and above |
74 |
|
Marital Status |
|
|
Never Married |
51 |
|
Married with no Kids |
68 |
|
Married with Kids |
61 |
|
Divorced/Separated/ Widowed |
48 |
|
Religion |
|
|
Taoism |
77 |



|
Buddhism |
72 |
|
No Religion/ Freethinker |
67 |
|
Christianity |
55 |
|
Hinduism |
34 |
|
Islam |
13 |
Note:
Percentages were based on the corresponding demographic cohort size in the sample.
Table 2 ?Gambling Participation Rates by Type of Games (%)
in the last 12 months
|
Types of Games |
% |
|
All Games |
58 |
|
4D |
53 |
|
Toto |
39 |
|
Singapore Sweep |
31 |
|
Social Gambling |
17 |
|
Scratch it! |
12 |
|
Table games and slot machines in local and overseas venues |
9 |
|
Slot machines in Cruises/ Casinos in other countries
|
4 |
|
Slot machines in Local Clubs
|
3 |
|
Table games in Cruises/ Casinos in other countries
|
2 |
|
Sports Betting |
8 |
|
Horse Betting |
4 |
|
Online Gambling |
0.1 |
Table 3 ?Monthly Median (Average) Betting Amount
in Gambling Activities ($) in last 12 months
|
Types of Games |
Monthly Median Betting Amount (average figures in brackets) |
|
All Games |
$83 ($244) |
|
Sports Betting |
$200 ($387) |
|
Table games in Cruises/ Casinos in other countries |
$100 ($288) |
|
Horse Betting |
$100 ($194) |
|
Social Gambling |
$100 ($151) |
|
Slot machines in Local Clubs |
$100 ($127) |
|
Slot machines in Cruises/ Casinos in other countries |
$50 ($168) |
|
4D |
$50 ($93) |
|
Toto |
$20 ($48) |
|
Scratch it! |
$20 ($27) |
|
Singapore Sweep |
$10 ($27) |
Table 4 ?Monthly Average Betting Amount (last 12 months)
by Monthly Personal Income8 (%)
|
Monthly Personal Income |
Average Betting Amount per month |
|||||
|
$100 and below |
$101-$300 |
$301-$500 |
$501-$1,000 |
More than $1,000 |
Total |
|
|
No Income |
78 |
14 |
4 |
4 |
0.4 |
100% |
|
$1-$999 |
75 |
19 |
6 |
0 |
0 |
100% |
|
$1,000-$1,999 |
53 |
35 |
8 |
4 |
0 |
100% |
|
$2,000-$2,999 |
49 |
31 |
11 |
8 |
1 |
100% |
|
$3,000-$3,999 |
43 |
23 |
16 |
10 |
9 |
100% |
|
$4,000 and above |
47 |
17 |
12 |
8 |
17 |
100% |
Table 5 ?Starting Age of First Gambling and Regular Gambling Participation (at least once a week) (%)
|
Age group |
First Gambling Participation (%) |
First Regular Gambling Participation (at least once a week) % |
|
Below 18 Years |
14 |
4 |
|
18-24 |
49 |
38 |
|
25-29 |
15 |
19 |
|
30-39 |
15 |
24 |
|
40-49 |
5 |
9 |
|
50-59 |
1 |
5 |
|
60 and above |
1 |
1 |
Figures are estimates reported by the respondents, and may exclude some sources of income.
Table 6 ?First and First Regular Gambling Activity (at least once a week) (%)
|
Types of Games |
First Gambling Activity (%) |
First Regular Gambling Activity (at least once a week) (%) |
|
4D |
64 |
78 |
|
Social Gambling |
20 |
9 |
|
Toto |
7 |
6 |
|
Singapore Sweep |
4 |
2 |
|
Sports Betting |
2 |
2 |
|
Horse Betting |
1 |
2 |
|
Slot machines in Cruises/ Casinos in other countries |
0.7 |
0.3 |
|
Slot machines in Local Clubs |
0.4 |
0.3 |
|
Scratch-it! |
0.3 |
0.3 |
|
Table games in Cruises/ Casinos in other countries |
0.2 |
0 |
|
Others |
0.9 |
0 |
Table 7 ?Prevalence of Probable Pathological and Problem Gambling in selected countries
|
Singapore (2004) |
Hong Kong (2001) |
Macau (2003) |
|
|
Pathological Gambling |
2.1% |
1.9% |
1.8% |
|
Problem Gambling |
2.0% |
4.0% |
2.5% |
|
Total ?last 12 months |
4.1% |
5.9% |
4.3% |
Table 8 ?Prevalence of Probable Pathological Gambling in Singapore
by Demographic Groups (last 12 months)
|
Profiles |
Probable Pathological Gamblers (%) |
|
Ethnicity |
|
|
Chinese |
2.7 |
|
Malay |
0.4 |
|
Indian |
0* |
|
Gender |
|
|
Male |
3.1 |
|
Female |
1.2 |
|
Age Group (Years) |
|
|
18 to 29 |
0.9 |
|
30 to 39 |
4.3 |
|
40 to 49 |
3.3 |
|
50 to 59 |
0.9 |
|
60 and above |
0* |
|
Highest Education Level |
|
|
PSLE and below |
2.3 |
|
GCE ‘O?Level/ ITE or VITB |
2.5 |
|
GCE ‘A?Level and Polytechnic |
3.2 |
|
University and above |
0.8 |
|
Monthly Personal Income ($) |
|
|
No Income |
0.5 |
|
1 ?999 |
0.7 |
|
1,000 ?1,999 |
2.1 |
|
2,000 ?2,999 |
4.2 |
|
3,000 ?3,999 |
5.9 |
|
4,000 and above |
4.7 |
11Profiles Probable Pathological Gamblers (%)
|
Marital Status |
|
|
Never Married |
2.3 |
|
Married with no Kids |
3.2 |
|
Married with Kids |
1.7 |
|
Divorced/ Separated/ Widowed |
5.6 |
|
Religion |
|
|
Taoism |
3.0 |
|
No Religion / Freethinker |
3.8 |
|
Buddhism |
2.9 |
|
Christianity |
1.5 |
|
Islam |
0.4 |
|
Hinduism |
0* |
Note:
Percentages were based on the corresponding demographic cohort size in the sample.
* none detected as probable pathological gamblers in the sample.
Table 9 - Monthly Median (Average) Betting Amount
in Gambling Activities ($) in last 12 months
|
Types of Ga |
mes Median (Average) |
Betting Amount Median (Average) Betting Amount |
(among Probable Pathological Gamblers) All Games $83 ($244) $400 ($637) 12
Table 10 - Frequency of Gambling Participation in last 12 months (%) All )
|
Gamblers (% |
Probable Pathological |
||
|
Gamblers (%) Gambled less than once a week in last 2 month 1 |
30 |
0 |
|
|
Gambled |
|||
at least once a week in last 12 month 70 100 Table 11 - Age of first regular gambling participation (a e a w
|
t least onc Probable |
eek) |
||
|
Pathological gamblers (%) All gamblers (%) Below |
18 Years 5 |
4 |
|
|
18-24 |
44 |
38 |
|
|
25-29 |
23 |
19 |
|
|
30-39 |
19 |
24 |
|
|
40-49 |
5 |
9 |
|
50-59 0 5
60 and above 0 1
* figures may not add up to 100% due to rounding off error 13
PROBABLE PATHOLOGICAL GAMBLING SCREENING CRITERIA
1. The diagnostic criteria (see Table 12) in the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) was developed by the American Psychiatric Association (APA)9 .
Table 12 ?DSM-IV Diagnostic Criteria for Pathological Gambling
|
Preoccupation |
Is preoccupied with gambling (eg. preoccupied with reliving past gambling experiences, handicapping or planning the next venture, or thinking of ways to get money with which to gamble). |
|
Tolerance |
Needs to gamble with increasing amounts of money in order to achieve the desired excitement. |
|
Withdrawal |
Is restless or irritable when attempting to cut down or stop gambling. |
|
Escape |
Gambles as a way of escaping from problems or relieving dysphoric mood (eg. feelings of depression, guilt, anxiety or depression). |
|
Chasing |
After losing money gambling, often returns another day in order to get even (“chasing one’s losses?. |
|
Lying |
Lies to family members, therapists, or others to conceal the extent of involvement with gambling. |
|
Loss of control |
Has made repeated unsuccessful efforts to control, cut back, or stop gambling. |
|
Illegal acts |
Has committed illegal acts (eg. forgery, fraud, theft or embezzlement) in order to finance gambling. |
|
Risked significant relationship |
Has jeopardised or lost a significant relationship, job, or educational or career opportunity because of gambling. |
|
Bailout |
Has relied on others to provide money to relieve a desperate financial situation caused by gambling. |
9 Gerstein, D. R., R. A. Volberg, M. T. Toce, H. Harwood et al. 1999. Gambling Impact and Behavior Study: Report to the National Gambling Impact Study Commission. Chicago, IL: National Opinion Research Center at the University of Chicago. Toce-Gerstein, Marianna, Dean R. Gerstein & Rachel A. Volberg. 2003. "A Hierarchy of Gambling Disorders in the General Population," Addiction 98: 1661-1672.


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