This chapter describes the
prevalence of gambling, including the differences in prevalence among various
segments of the population and for various forms of gambling including the
lottery, casino, and other forms of gambling.
Additionally, this chapter examines factors associated with gambling
including age of onset, influence of parental gambling, gambling and substance
use, advertising recall, and attitudes about gambling. The overall prevalence rates for gambling
presented in this chapter are estimates derived from a probability sample, and
as such are subject to a margin of error of ± 3%.
Some rates for subgroups may be associated with a slightly higher margin
of error due to the smaller sample sizes.
The majority of adolescents
gamble. Table 2.1. shows that
three-quarters of Oregon adolescents have gambled at least once in their lives
and 66% gambled within the last 12 months.
Table
2.1. Lifetime and One-year Gambling Prevalence Rates
(In Percent)
Group (N) |
Gambled Lifetime |
Gambled Past 12 Months |
|
|
|
Total
(997) |
75.9 |
66.0 |
|
|
|
Gender
[5] |
|
|
Boys (539) |
81.3 |
74.0 |
Girls (459) |
73.7 |
57.1 |
|
|
|
Age [6] |
|
|
13 (151) |
69.3 |
58.9 |
14 (205) |
74.6 |
65.4 |
15 (221) |
76.9 |
66.1 |
16 (220) |
76.4 |
69.1 |
17 (200) |
80.4 |
68.5 |
|
|
|
Race |
|
|
Anglo (898) |
76.7 |
66.9 |
Non-Anglo (99) |
68.7 |
58.2 |
Boys are significantly more likely
to gamble than girls, and older youth are significantly more likely to gamble
than younger youth. Percentages
reported are row percentages. Thus, 74%
of the 539 boys in the sample reported gambling last year compared to 57.1% of
the 459 girls in the sample [7]. Although previous studies have shown a
relationship between race and gambling (Wallisch, 1996) our sample does not
bear this out.
Although most youth gamble, only
one-third of the sample reported gambling on the lottery in the 12 months prior
to the survey. Table 2.2 shows the
rates of lottery playing. The patterns
of lottery play are similar to gambling overall: Boys and older adolescents are
more likely to play the lottery than are girls and younger adolescents.
Table
2.2. Lottery Gambling
(In Percent)
Group (N) |
Gambled Lifetime |
Gambled Past 12 Months |
|
|
|
Total
(997) |
38.9 |
29.6 |
|
|
|
Gender [8] |
|
|
Boys (539) |
42.3 |
33.3 |
Girls |
34.9 |
25.3 |
|
|
|
Age [9] |
|
|
13 (151) |
35.1 |
25.8 |
14 (205) |
38.5 |
27.3 |
15 (221) |
39.5 |
29.5 |
16 (220) |
37.3 |
27.3 |
17 (200) |
43.2 |
37.7 |
|
|
|
Race |
|
|
Anglo (898) |
39.5 |
30.1 |
Non-Anglo (99) |
32.7 |
25.3 |
|
|
|
Table 2.3 identifies the most
popular lottery games for 13 to 17 year olds.
Nearly 23% of the sample reported playing scratch-off tickets; Sports
Action and Keno, respectively, are the next most popular lottery games,
however, less the 10% of the sampled played either of these games.
Table
2.3. Lottery Gambling by Game
(In Percent)
Lottery Game |
Percent |
|
|
Scratch-its |
22.6 |
Sports
Action |
7.8 |
Keno |
5.3 |
Pull-tabs |
4.6 |
Powerball |
4.6 |
Video
Poker |
4.3 |
Megabucks |
3.3 |
Daily
four |
0.8 |
|
|
Although minors are not legally allowed to purchase lottery tickets, approximately 35% of those who had gambled on the lottery indicated they had done so in the 12 months preceding the survey (see Table 2.4). Most of the illegally purchased lottery tickets were purchased in grocery stores. The majority of young lottery players, however, obtain the tickets from family members (50%).
Table
2.4. Where Lottery Tickets are Obtained
(In Percent)
Access Type |
Percent |
|
|
Buy
them myself at a convenience store |
12.9 |
Buy
them myself at a grocery store |
18.6 |
Buy
them myself at a vending machine |
1.3 |
Buy
them myself at a deli, restaurant, tavern, or bar |
2.4 |
A
parent, sibling, or other relative buys them for me |
50.0 |
Other |
15.0 |
|
|
Total
(379) |
100.0 |
|
|
Table 2.5 shows the rates of
reported illegal casino gambling.
Approximately 19% of the sample reported betting money at a casino at
least once in their life and approximately 12% (± 2) of the sample did so last year.
Table
2.5. Casino Gambling
(In Percent)
Group (N) |
Gambled Lifetime |
Gambled Past 12 Months |
|
|
|
Total
(997) |
18.6 |
12.1 |
|
|
|
Gender |
|
|
Boys (539) |
18.6 |
13.4 |
Girls (459) |
18.6 |
10.5 |
|
|
|
Age |
|
|
13 (151) |
13.9 |
7.3 |
14 (205) |
19.0 |
11.7 |
15 (221) |
22.7 |
15.0 |
16 (220) |
14.5 |
10.5 |
17 (200) |
21.6 |
15.0 |
|
|
|
Race[10] |
|
|
Anglo (898) |
17.6 |
11.8 |
Non-Anglo (99) |
28.3 |
15.2 |
|
|
|
The pattern of casino gambling is
somewhat different than other forms of gambling. For example, teenage girls reported gambling in casinos as often
as did boys. Although there is a trend
towards older youth gambling in casinos more often that their younger
counterparts, it is not statistically significant. Non-Anglos were significantly more likely to have gambled at a
casino at least once in their lives, however, the one-year rates were not
significantly higher. Surprisingly,
about half of the casino gambling is done outside of Oregon. Of those who reported gambling in a casino
at least once in the last 12 months, 51% reported doing so outside Oregon. The remaining 49% reported gambling in a
casino in Oregon.
Other gambling activities in which
adolescents commonly engaged included purchasing raffle tickets, betting on
sports with friends or relatives, and playing cards for money (see Table
2.7). In fact, as Table 2.6 indicates,
youth were more likely to participate in these other forms of gambling than
play the lottery or gamble in a casino.
Table
2.6. Other Gambling Activities
(In Percent)
Group (N) |
Gambled Lifetime |
Gambled Past 12 Months |
|
|
|
Total
(997) |
73.2 |
62.9 |
|
|
|
Gender [11] |
|
|
Boys (539) |
79.7 |
71.2 |
Girls (459) |
65.6 |
53.2 |
|
|
|
Age [12] |
|
|
13 (151) |
66.2 |
56.0 |
14 (205) |
72.2 |
59.7 |
15 (221) |
74.5 |
65.0 |
16 (220) |
73.2 |
66.4 |
17 (200) |
77.9 |
65.3 |
|
|
|
Race |
|
|
Anglo (898) |
73.8 |
63.6 |
Non-Anglo (99) |
67.7 |
56.6 |
|
|
|
As table 2.7 shows, purchasing
raffle tickets, betting on sports teams with friends and relatives, and playing
cards are the most popular forms of gambling among those respondents that
reported gambling in the 12 months prior to the survey.
Table
2.7 Prevalence Rates for Other Forms of Gambling
(In Percent)
Forms of Gambling |
Percent |
|
|
Purchased
raffle tickets for a charitable organization |
40.5 |
Bet
on sports teams with friends/relatives |
31.6 |
Played
cards at someplace other than a casino |
30.9 |
Bet
on games of skill |
25.4 |
Played
bingo other than at a casino |
14.8 |
Played
dice games not at a casino |
10.1 |
Flipped
coins for money |
6.9 |
Bet
on horse or dogs |
3.3 |
Bet
on sports teams with bookies |
3.3 |
Gambled
on the Internet |
0.3 |
Other |
4.0 |
|
|
Participants in the survey were
allowed to respond to more than one answer for this question.
Internet gambling is the least
common form of gambling with less than 1% of the sample reporting gambling with
money on the internet in the 12 months prior to the survey.
In order to examine the geographic
distribution of gambling, the five largest counties were analyzed
separately. As stated above, the data
were weighted to accurately reflect the proportion of the population residing
in each county as reported by the Center For Population Research 1996
population estimates. Table 2.8 shows
that there are significant differences in the prevalence of gambling by county.
Table
2.8. Gambling Prevalence by County
(In Percent)
County (N) |
Any Gambling |
Casino Gambling |
Lottery Gambling |
|
|
|
|
Multnomah
(198) |
67.7 |
8.1 |
38.2 |
Washington
(120) |
66.7 |
10.8 |
20.8 |
Clackamas
(99) |
70.7 |
6.1 |
32.3 |
Lane
(95) |
66.7 |
18.9 |
31.3 |
Marion
(83) |
53.7 |
12.0 |
30.1 |
All
Others (402) |
66.4 |
14.4 |
26.9 |
|
|
|
|
Marion county's prevalence rates,
for all gambling activities combined, are significantly lower than for
Multnomah County, Washington County, and the Other Counties group, which is
composed of all other counties [13]. As for casino gambling, respondents from
Lane County appeared to report higher levels of casino gambling than
respondents from any of the other counties, although the differences are not
statistically significant. Multnomah
County had the highest rates of lottery gambling. Rates in Multnomah County were significantly higher than for
Washington and the Other counties[14].
Most youth gamble very
infrequently. As Table 2.9 shows, more
than half of the 658 adolescents who reported gambling in the last 12 months,
did so less than monthly (55%). Not
only are boys more likely to gamble than girls, but boys are also more frequent
gamblers than girls. Although the
differences are not statistically significant, it appears that the older
respondents are less likely to report gambling "less than monthly"
and more likely to report gambling on a monthly basis. However, the youngest age groups appear just
as likely as their older counterparts to gamble on a daily or weekly basis. Non-Anglos appear to be more likely to
gamble daily and weekly and less likely to gamble "less than monthly"
than their Anglo counterparts, but the differences are not statistically
significant.
Table
2.9. Frequency of Gambling
(In Percent)
Group (N) |
Daily |
Weekly |
Monthly |
Less Than Monthly |
|
|
|
|
|
Total
(658) |
4.0 |
13.3 |
28.1 |
54.5 |
|
|
|
|
|
Gender [15] |
|
|
|
|
Boys (396) |
5.1 |
16.7 |
29.8 |
48.5 |
Girls (262) |
2.7 |
8.4 |
25.6 |
63.4 |
|
|
|
|
|
Age |
|
|
|
|
13 (89) |
3.4 |
13.5 |
18.0 |
65.2 |
14 (133) |
0.8 |
19.5 |
30.8 |
48.9 |
15 (147) |
7.5 |
12.9 |
25.9 |
53.7 |
16 (152) |
3.9 |
10.5 |
27.0 |
58.6 |
17 (137) |
3.6 |
10.9 |
35.8 |
49.6 |
|
|
|
|
|
Race |
|
|
|
|
Anglo (600) |
3.7 |
13.0 |
28.3 |
55.2 |
Non-Anglo (57) |
7.0 |
15.8 |
28.1 |
49.1 |
|
|
|
|
|
Not only do most youth gamble
infrequently, youth report spending very little money gambling. Most of the respondents who gambled last
year reported spending less than $10.00 per month. However, the expenditure figures reported in Table 2.10 should be
considered only with caution. In
analyses not shown here, approximately 80% of the respondents who reported
spending no money last year also reported that they gambled at least once in
the previous year and 20% reported gambling more than monthly. One possible explanation of this is that
these adolescents considered the amount so trivial that they simply reported
spending nothing. Nonetheless, it is
still instructive to examine expenditures to get some sense of the overall
spending patterns which confirm other measures of gambling. On average, older youth and boys tend to
spend more than the younger adolescents and girls.
It appears that boys spend
significantly more than girls despite the fact that they do not make
significantly more. Table 2.11 shows
the reported incomes. By comparing
Tables 2.10 and 2.11, one can see that boys report spending more on gambling
than girls, despite the fact they do not report significantly higher
incomes. By the same token, older
adolescents report spending more (though the differences are not statistically
significant) but they also report higher incomes than their younger
counterparts.
Table
2.10 Average Monthly Gambling Expenditures
(In Percent)
Group (N) |
$0.00- $9.00 |
$10.00- $49.00 |
More Than $49.00 |
|
|
|
|
Total
(647) |
87.9 |
8.6 |
1.9 |
|
|
|
|
Gender [16] |
|
|
|
Boys (393) |
76.3 |
11.3 |
2.3 |
Girls (254) |
94.5 |
4.3 |
1.2 |
|
|
|
|
Age |
|
|
|
13 (84) |
91.6 |
8.3 |
0.0 |
14 (134) |
91.8 |
6.7 |
1.5 |
15 (143) |
86.1 |
11.2 |
2.8 |
16 (153) |
92.8 |
5.3 |
2.0 |
17 (136) |
84.6 |
12.5 |
2.9 |
|
|
|
|
Race |
|
|
|
Anglo (593) |
90.3 |
8.1 |
1.7 |
Non-Anglo (54) |
79.6 |
14.8 |
5.6 |
|
|
|
|
Table 2.11 Average
Weekly Income
(In Percent)
Group (N) |
$0.00- $19.00 |
$20.00- $49.00 |
$50.00- $99.00 |
More Than $99.00 |
|
|
|
|
|
Total
(609) |
36.2 |
20.2 |
13.3 |
30.3 |
|
|
|
|
|
Gender |
|
|
|
|
Boys (362) |
36.2 |
18.8 |
13.0 |
32.0 |
Girls (247) |
36.5 |
22.3 |
13.4 |
27.9 |
|
|
|
|
|
Age |
|
|
|
|
13 (79) |
57.0 |
34.2 |
2.5 |
6.3 |
14 (117) |
70.1 |
19.7 |
5.1 |
5.1 |
15 (135) |
37.8 |
27.4 |
14.1 |
20.7 |
16 (143) |
19.6 |
16.8 |
24.5 |
39.2 |
17 (131) |
10.7 |
7.6 |
15.3 |
66.4 |
|
|
|
|
|
Race |
|
|
|
|
Anglo (560) |
35.4 |
20.5 |
13.8 |
30.4 |
Non-Anglo (48) |
45.8 |
16.7 |
8.3 |
29.2 |
|
|
|
|
|
Younger gamblers are
significantly more likely to have begun gambling in grade school (compared to
junior or high school) than their older counterparts. The left-hand column in Table 2.12 reveals that only 25% of 17
year olds reported gambling in grade school compared to nearly 77% of 13 year
olds. However, many respondents did not
report a specific grade at which they began gambling--only 632 of the 757
respondents answered the question "In what age grade did you first
gamble." Several analyses were
undertaken to be sure that the differences in grade of onset weren't affected
by the missing data. The analyses of
missing data revealed that nearly all of the respondents who failed to specify
the grade in which they began gambling were those that gambled infrequently and
were primarily younger gamblers. In
order to provide a better estimate for group differences in age of onset, only
youth who reported gambling at least monthly were compared to reduce the number
of missing responses.
The right-hand column in Table 2.12
shows that when excluding infrequent gamblers, the estimated relationship
between age and grade of onset is still significant. These two analyses, taken together, strongly suggest that,
compared to their older counterparts, the youngest adolescents in the sample
began their gambling at a younger age.
Table
2.12. Grade of Onset
(In Percent)
Group |
Beginning in Grade School: All Gamblers (n=632) |
Beginning in Grade School: At least Monthly Gambling (n=265) |
|
|
|
Total |
43.5 |
47.5 |
|
|
|
Gender [17] |
|
|
Boys |
46.4 |
51.4 |
Girls |
38.6 |
39.0 |
|
|
|
Age [18] |
|
|
13 |
76.6 |
73.1 |
14 |
55.2 |
53.6 |
15 |
43.7 |
54.0 |
16 |
34.2 |
47.4 |
17 |
24.5 |
26.6 |
|
|
|
Race |
|
|
Anglo |
43.3 |
47.5 |
Non-Anglo |
44.4 |
48.1 |
|
|
|
Those who started gambling in grade
school are significantly more likely to gamble and are more frequent gamblers
than those who abstain until after grade school. Table 2.13 shows the significant estimated relationship between
grade of onset and frequency of gambling.
Of the 276 respondents who began gambling in grade school, slightly less
than 15% abstained from gambling in the last 12 months, compared to a little
more than 20% of those who waited until high school to begin gambling. Furthermore, slightly more than 20% of those
who began gambling in grade school do so on at least a weekly basis compared to
only 11% of those who didn't gamble in grade school.
Table
2.13. Grade of Onset and Frequency of Gambling
(In Percent)
Grade of Onset [19] |
Not Gambled |
Less Than Monthly or Monthly |
Weekly or Daily |
|
|
|
|
1-6
(276) |
14.5 |
65.2 |
20.3 |
7-8
(241) |
18.3 |
70.4 |
11.3 |
9-12
(116) |
19.8 |
69.0 |
11.2 |
|
|
|
|
It is interesting to note the
authors found an increasing age of onset for adults presenting at treatment and
indicating video poker machines as their primary choice of gambling (Moore,
T.L. and Carlson, M.J., 1998)
Previous research suggests that
children are more likely to gamble if their parents gamble (Lesieur,
forthcoming). Evidence from the current
study supports this finding. Table 2.14
shows that the children of parents who gamble are more likely to gamble. They are also likely to gamble more
frequently than children of parents who do not gamble. Children of parents who gamble are nearly
twice as likely to be weekly or daily gamblers than children whose parents do
not gamble. In analyses not shown, it
was found that older adolescents are not more likely than their younger
counterparts to have parents who gamble.
Thus, it is not likely that the relationship between parents' and
children's gambling is spurious.
Table
2.14. Youth Gambling and Parental Gambling
(In Percent)
Frequency of Youth Gambling [20] |
Parents Gamble (425) |
Parents Don't Gamble (559) |
|
|
|
Never |
23.0 |
41.9 |
Less
than monthly |
35.8 |
36.3 |
Monthly |
25.6 |
13.2 |
Weekly/Daily |
15.6 |
8.6 |
|
|
|
Total |
100.0 |
100.0 |
|
|
|
Not only do children of gambling
parents appear to be more likely to gamble, but they also appear to begin
gambling sooner. Table 2.15 describes
the relationship between grade on onset and parental gambling among children
who gamble at least monthly (to reduce bias associated with missing data).
Adolescents whose parents gamble
appear to be more likely to have started in grade school than children of
non-gambling parents. Conversely,
respondents who report that their parents don't gamble are more likely to
abstain from gambling until high school.
Table
2.15. Grade of Onset and Parental Gambling
(In Percent)
Grade of Onset [21] |
Parents Gamble (161) |
Parents Don't Gamble (101) |
|
|
|
Grades
1-6 |
52.2 |
41.6 |
Grades
7-8 |
36.6 |
36.6 |
Grades
9-12 |
11.2 |
21.8 |
|
|
|
Total |
100.0 |
100.0 |
|
|
|
Previous studies have suggested that
teen gambling is part of a larger set of risky behaviors including smoking,
drinking, and drug use (Westphal, 1998).
The current study indicates this is true in Oregon. Youth in this study who gambled were also
more likely to smoke, drink alcohol, and use drugs. Additionally, the frequency of youth gambling was also related to
the frequency of substance use.
Tables 2.16 and 2.17 show the
patterns of tobacco use (smoking and chewing tobacco), drinking alcohol, and
using marijuana and other drugs (including cocaine, heroin, and LSD). As expected, older youth are more likely to
use tobacco, alcohol, and other drugs.
Table
2.16. Drug Use and Gambling
(In Percent)
|
% Using Tobacco |
% Drinking |
% Using Other Drugs |
|||
|
Less Than Monthly/ Monthly |
At Least Weekly |
Less Than Monthly/ Monthly |
At Least Weekly |
Less Than Monthly/ Monthly |
At Least Weekly |
|
|
|
|
|
|
|
Total
(997) |
8.8 |
9.0 |
19.9 |
3.1 |
9.3 |
2.2 |
|
|
|
|
|
|
|
Gender |
|
|
|
|
|
|
Boys (538) |
9.3 |
9.4 |
18.5 |
3.9 |
9.1 |
2.8 |
Girls (459) |
8.3 |
8.3 |
21.7 |
1.9 |
9.6 |
1.6 |
|
|
|
|
|
|
|
Age [22] |
|
|
|
|
|
|
13
(151) |
5.3 |
3.3 |
4.7 |
1.4 |
0.7 |
0.7 |
14 (206) |
6.8 |
4.4 |
9.8 |
1.0 |
8.7 |
2.0 |
15 (220) |
7.7 |
9.0 |
21.7 |
3.2 |
7.7 |
3.6 |
16
(220) |
10.5 |
10.0 |
26.8 |
3.6 |
11.8 |
1.4 |
17
(200) |
13.5 |
17.0 |
32.0 |
6.0 |
15.5 |
3.5 |
|
|
|
|
|
|
|
Race [23] |
|
|
|
|
|
|
Anglo (898) |
8.8 |
9.4 |
19.7 |
3.7 |
9.6 |
1.9 |
Non-Anglo (98) |
9.1 |
6.0 |
18.3 |
3.1 |
5.1 |
5.1 |
|
|
|
|
|
|
|
Table 2.17 reports the correlation
coefficients for gambling and substance use.
The significant coefficients show that there is a modest but significant
correlation between gambling and all forms of substance use.
Table
2.17. Correlation Between Frequency of Gambling and Frequency of Substance Use.
(In Percent)
Substance Used |
Gambling Frequency |
|
|
Smoking |
.224** |
Drinking |
.207** |
Drug
Use |
.199** |
|
|
Note: ** = p<.01 (Spearman's rho, 2-tailed)
As discussed, gambling, for many
adolescents, is one part of a larger set of risky behaviors including smoking,
alcohol, and drug use. Part of this is
due to the fact that older adolescents, as they near adulthood, are more likely
to experiment with a wide range of adult behaviors. Although it is also true that boys are significantly more likely
to gamble than girls are, they are not significantly more likely to smoke,
drink, or use drugs.
As would be expected, youth who
gamble on the lottery are much more likely to recall seeing advertising than
non-players. The percentages in Table
2.18 report the number of respondents who report seeing advertising
"always" or "often" (compared to sometimes, rarely, or
never) when asked questions such as the following: Think about the television programs you like to watch. In the last month, how often have you seen
TV advertising for the lottery? (see
appendix 2 for a complete list of advertising questions). Obviously, this is not meant to show a
causal relationship, which cannot be done with cross-sectional data. However, what the relationship between
advertising recall and frequency of lottery play does suggest is that youth who
play the lottery more frequently are, in fact, more aware of the advertising
than youth who play less frequently.
Table
2.18. Frequency of Lottery Gambling and Advertising Recall
(In Percent)
Gambling Frequency |
Recall Seeing Advertisements Always or Often [24] |
|
|
Never
(702) |
66.8 |
Less
than monthly/monthly (252) |
71.4 |
Weekly/daily
(42) |
85.7 |
|
|
Table 2.19 indicates the proportion
of youth who report seeing casino advertising.
There is no significant difference in advertising recall between the
different levels of casino gamblers.
Although the percentage of weekly/daily casino gamblers appears much
higher, because there are so few (n=10) the difference is not statistically
significant.
Table
2.19. Frequency of Casino Gambling and Advertising Recall
(In Percent)
Gambling Frequency |
Recall Seeing Advertisements Always or Often |
|
|
Never
(880) |
34.2 |
Less
than monthly/monthly (107) |
33.6 |
Weekly/daily
(10) |
60.0 |
|
|
The rates of recall for each form of
advertising are broken down in the following Table 2.20. Percentages reported are row percentages.
Table
2.20. Frequency of Advertising Recall by Type
(In Percent)
Lottery Advertising |
Casino Advertising |
|||||||||
Advertising Type |
Always/ Often |
Some- times |
Rarely/ Never |
Always/ Often |
Some- times |
Rarely/ Never |
||||
|
|
|
|
|
|
|
||||
Billboards |
27.0 |
31.2 |
41.8 |
15.8 |
25.9 |
58.3 |
||||
Radio |
20.1 |
32.8 |
47.1 |
16.9 |
26.7 |
56.4 |
||||
Television |
26.9 |
32.1 |
41.0 |
15.8 |
32.0 |
52.2 |
||||
Magazines/Papers |
11.1 |
20.3 |
69.6 |
7.5 |
13.7 |
78.8 |
||||
|
|
|
|
|
|
|
||||
Nearly all the adolescents in the
sample believed that hard work is more important than luck, and that gambling
is not a good way to make money.
However, this study found that gambling is associated with certain attitudes
about money and work. Tables 2.21 and
2.22 report the distribution of responses to two attitudinal questions. Gamblers were, not surprisingly,
significantly more likely to believe that gambling is a "somewhat" or
"very good" way to make money (p<. 001). Additionally, when asked whether luck or hard work is most
important for getting ahead in life, young gamblers were significantly less
likely to say that hard work is most important compared to non-gamblers
(p<.01).
Table
2.21. Responses to the question: To what extent, in general, do you feel
gambling is a good way to make money?
(In Percent)
Response |
Total (n=997) |
Non- gamblers (n=338) |
Gamblers (n=658) |
|
|
|
|
Very
good |
0.7 |
0.3 |
0.9 |
Somewhat
good |
11.2 |
6.2 |
13.8 |
Not
good |
88.1 |
93.5 |
85.3 |
|
|
|
|
Table
2.22. Responses to the question: Some say that people get ahead by their own
hard work; others say that lucky breaks or help from other people are more
important. Which do you think is most
important?
(In Percent)
Response |
Total (n=997) |
Non- gamblers (n=338) |
Gamblers (n=658) |
|
|
|
|
Lucky
breaks are most important |
5.0 |
2.7 |
6.1 |
Hard
work is most important |
85.9 |
90.6 |
82.5 |
Hard
work and luck are equally important |
9.1 |
6.7 |
10.4 |
|
|
|
|
Most teenagers in Oregon
gamble. In fact, three-quarters of the
respondents in this survey reported gambling at least once in their life, and
two-thirds reported gambling in the last 12 months. When these results are generalized to the 223,456 youth in Oregon
who are 13 to 17 years old (Center for Population Research and Census, 1996)
this study suggests that between 162,899 and 176,307 youth have gambled for
money at least once in their life, and between 140,777 and 154,185 gambled in
the last 12 months.[25] As would be expected, based on previous
research, males and older adolescents are significantly more likely to gamble
than females and younger adolescents.
There were no significant racial differences in gambling behavior.
It is illegal for minors to purchase
lottery tickets or gamble in casinos; however, in the 12 months prior to this
survey approximately 30% of youth reported gambling on the lottery and 12%
reported gambling in casinos. Nearly
half of those reporting casino gambling indicated they had gambled in casinos
outside Oregon. Of those reporting
gambling on the lottery, approximately 50% said they obtained the tickets from
a parent or family member and 35% indicated that had illegally purchased the
tickets themselves, typically at a grocery or convenience store.
Two findings which should be
considered very carefully are that the younger adolescents were significantly
more likely to report gambling in grade school than their older counterparts,
which suggests that age of onset for gambling may be decreasing over time. It is possible that older respondents are
less likely to remember when they started gambling than the younger
respondents. Nonetheless, other
prevalence studies done in Minnesota and Louisiana dating back to 1991 also
show that grade, or age, of onset may be lower in younger respondents (Winters,
et al., 1993b; Westphal et al., 1998).
Taken together, there is reason to believe that in the last few years,
as gambling has increased in availability, young people across the country are
being exposed to gambling at an earlier age.
Another finding which should be
carefully considered is the relationship between parental gambling and youth
gambling. Not only are children of
gambling parents more likely to start gambling earlier themselves, but they are
also more frequent gamblers than children of non-gamblers.
Gambling, for many adolescents, is
one part of a larger set of risky behaviors including smoking, alcohol, and
other drug use. Part of this is due to
the fact that older adolescents, as they near adulthood, are more likely to
experiment with a wide range of adult behaviors. Although this study found that boys are significantly more likely
to gamble than girls it also found boys are not significantly more likely to
smoke, drink, or use drugs than are girls.
Understanding the distribution of
gambling behaviors is important.
However, gambling constitutes a wide range of behavior from occasionally
playing a scratch-off lottery ticket with family members, to gambling on a
daily basis in the face of social and financial consequences. In the following chapter, the rates of level
2 and level 3 gambling among Oregon youth are assessed.
[5] One-year: chi-square=30.36, df=1, p.<.001; lifetime: chi-square=18.75 df=1, p.<.001.
[6] One-year: chi-square (Mantel-Haenszel)=5.32, df=1, p.<.05.
[7] Proportions add up to 998 due to weighting..
[8] One-year: chi-square=6.06, df=1, p.<.01; lifetime: chi-square=5.37 df=1, p.<.05.
[9] One-year: chi-square (Mantel-Haenszel)=4.91, df=1, p.<.05.
[10] Lifetime: chi-square=5.37, df=1, p.<.01.
[11] Lifetime: chi-square=25.33, df=1, p.<.001; past-year: chi-square=34.5, df=1, p.<.001.
[12] Lifetime: chi-square (Mantel-Haenszel)=4.9, df=1 p.<.05; past-year chi-square (Mantel-Haenszel) =4.6, df=1, p.<.05.
[13] In two-tailed t-tests, p<.05.
[14] In two-tailed t-tests, p<.01.
[15] Boys are more likely to be frequent gambles (chi-square=17.7, df=1, p<.001).
[16] Chi-square=13.07, df=1, p.<.01.
[17] Chi-square=8.2, df=1, p.<.017.
[18] All gamblers: chi-square (Mantel-Haenszel)=104.5, df=1, p<.001; at least monthly gamblers chi-square (Mantel-Haenszel)=31.1, df=1, p.<.001.
[19] Chi-square=10.75, df=4, p.<.05)
[20] Chi-square (Mantel-Haenszel)=48.3, df=1, p.<.001.
[21] Chi-square (Mantel-Haenszel)=5.3, df=1, p.<.05.
[22] Drugs: chi-square, (Mantel-Haenszel)=13.1, df=1, p.<.001. Alcohol chi-square (Mantel-Haenszel)=58.6, df=1, p.<.001. Smoking: chi-square (Mantel-Haenszel) =36.4, df=1, p.<.001
[23] Drugs: chi-square=11.3, df=4, p.<.05.
[24] Chi-square (Mantel-Haenszel)=6.26, p.<.01.
[25] The census estimates group 12 and 13 year-olds together. Therefore an estimation was made for the number of 13 year-olds. Range estimates are based on a margin of error of ±3 %, 95% confidence level.