| Title |
Gambling behavior among Macau college and university students
|
|---|---|
| Published in |
Asian Journal of Gambling Issues and Public Health, April 2017
|
| DOI | 10.1186/s40405-017-0022-7 |
| Pubmed ID | |
| Authors |
Sut Mei Kam, Irene Lai Kuen Wong, Ernest Moon Tong So, David Kin Cheong Un, Chris Hon Wa Chan |
| Abstract |
This survey investigated gambling behavior among Chinese students studying in Macau colleges and universities. It also aimed to examine the relationship between problem gambling, affect states and sensation seeking propensity. A convenience sample of 999 students (370 men, 629 women) filled a self-administered questionnaire consisted of the Problem Gambling Severity Index (PGSI) (Ferris and Wynne in The Canadian problem gambling index: User manual. Canadian Centre on Substance Abuse, Toronto 2001a), the 8-item Brief Sensation Seeking Scale (BSSS-8) (Hoyle et al. Pers Individ Diff 32(3): 401-414, 2002), Bradburn's Affect Balance Scale (BABS) (Bradburn in The structure of psychological well-being. Aldine, Chicago 1969) and questions on gambling activities. The response rate is 65%. Results indicate 32.3% (n = 323) of the survey participants wagered on mahjong (61.8%), soccer matches (40.2%), Mark Six lottery (37.2%), card games (28.1%), land-based casino gambling (13.1%), slot machines (7.5%) and online casino games (2.0%). The average monthly stake was MOP $411. Seeking entertainment (18.7%), killing time (12.5%) and peer influence (11.1%) were the three main reasons for gambling. Using the PGSI, 3.6 and 5.3% of the students could be identified as moderate-risk and problem gamblers respectively. Men were significantly more vulnerable to gambling problems (X2(1) = 35.00, p < 0.01) than women. Most of the problematic gamblers (76%) made their first bet before 14 years. The PGSI scores are significantly correlated with the BSSS-8 scores (r = 0.23, p < 0.01) but not with the overall ABS scores (r = -0.06, p > 0.05). The study findings inform campus prevention programs and future research. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Australia | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 15% |
| Researcher | 8 | 14% |
| Student > Master | 5 | 8% |
| Student > Ph. D. Student | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 14% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 19% |
| Psychology | 8 | 14% |
| Social Sciences | 4 | 7% |
| Nursing and Health Professions | 4 | 7% |
| Arts and Humanities | 1 | 2% |
| Other | 7 | 12% |
| Unknown | 24 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2019.
All research outputs
#13,035,655
of 22,968,808 outputs
Outputs from Asian Journal of Gambling Issues and Public Health
#16
of 37 outputs
Outputs of similar age
#149,441
of 308,994 outputs
Outputs of similar age from Asian Journal of Gambling Issues and Public Health
#1
of 3 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one scored the same or higher as 21 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 308,994 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them