The callers with gambling problems who provided data for the study included 349 men (62.1%) and 213 women (37.9%). Multivariate analyses revealed that each of the eight questionnaire categories distinguished the groups of male and female gamblers.
Male and female gamblers had significantly different demographic characteristics (χ
2=46.27, df=7, p<0.0001). Of the specific demographic characteristics examined, age, yearly income, and African American race significantly distinguished male and female gamblers (
+Table 1). Compared with the female gamblers, the male gamblers were younger, more likely to have a reported annual income of more than $60,000, and less likely to be of African American origin. The gender difference in the proportion of gamblers with Hispanic ethnicity approached but did not reach statistical significance.
Male and female gamblers were significantly different in duration of gambling (χ2=15.18, df=3, p<0.002). Male gamblers were more likely than female gamblers to report a longer duration of gambling, although neither the reported duration of problematic gambling nor the number of types of problematic gambling significantly distinguished the groups.
Secondary analyses were performed to investigate the relationship of gender to types of problematic gambling. Gambling problems, categorized by style (strategic, nonstrategic, or both strategic and nonstrategic), were found to differ significantly as a function of gender (χ2=116.81, df=2, p≤0.001). Male gamblers were more likely to report problems with only strategic forms of gambling (male gamblers: N=132 of 324, 40.7%; female gamblers: N=16 of 200, 8.0%) or both strategic and nonstrategic gambling (male gamblers: N=122 of 324, 37.7%; female gamblers: N=51 of 200, 25.5%) and less likely to report problems with only nonstrategic gambling (male gamblers: N=70 of 324, 21.6%; female gamblers: N=133 of 200, 66.5%). Significant gender-related differences were observed for the location of problematic gambling (casino, noncasino, or both casino and noncasino) (χ2=9.58, df=2, p=0.008). The majority of the difference was accounted for by the male gamblers more frequently reporting problems with only noncasino gambling (male gamblers: N=56 of 327, 17.1%; female gamblers: N=18 of 201, 9.0%) and the female gamblers more frequently reporting problems with only casino gambling (male gamblers: N=145 of 327, 44.3%; female gamblers: N=112 of 201, 55.7%).
Chi-square analyses were performed to investigate the relationship between gender and problems with each of the 12 most frequently acknowledged types of casino and noncasino gambling. Significant gender-related differences were observed for each of the six most frequently acknowledged forms of casino gambling, with male gamblers more likely than female gamblers to report problems with blackjack (N=152 of 329, 46.2%, versus N=41 of 203, 20.2%) (χ2=36.72, df=1, p≤0.001), roulette (N=44 of 329, 13.4%, versus N=9 of 203, 4.4%) (χ2=11.19, df=1, p≤0.001), poker (N=39 of 329, 11.9%, versus N=9 of 203, 4.4%) (χ2=8.42, df=1, p≤0.004), or craps/dice (N=45 of 329, 13.7%, versus N=4 of 203, 2.0%) (χ2=20.58, df=1, p≤0.001) and less likely than female gamblers to report problems with slot machines (N=122 of 329, 37.1%, versus N=157 of 203, 77.3%) (χ2=81.58, df=1, p≤0.000) or bingo (N=2 of 329, 0.6%, versus N=21 of 203, 10.3%) (χ2=28.72, df=1, p≤0.001). Significant gender-related differences were also observed for three of the six most frequently acknowledged forms of noncasino gambling, with male gamblers more likely than female gamblers to report problems with gambling on sports (N=53 of 329, 16.1%, versus N=3 of 203, 1.5%) (χ2=28.54, df=1, p≤0.001), dog racing (N=32 of 329, 9.7%, versus N=6 of 203, 3.0%) (χ2=8.68, df=1, p=0.003), or horse racing (N=31 of 329, 9.4%, versus N=2 of 203, 1.0%) (χ2=15.36, df=1, p≤0.001). No statistically significant gender differences were observed in reported frequencies of problems with lottery, jai alai, or card gambling.
Male and female gamblers had significantly different psychiatric symptoms that they perceived to be caused by gambling (χ
2=12.26, df=4, p<0.02). Although high rates of anxiety (
+Table 1) and depression (male gamblers: N=254 of 326, 77.9%; female gamblers: N=169 of 201, 84.1%) perceived to be caused by gambling were observed for both men and women, female gamblers were significantly more likely than male gamblers to report anxiety and suicide attempts attributed to gambling (
+Table 1). No statistically significant differences were observed between men and women in reports of depression or suicidality perceived to be caused by gambling.
Male and female gamblers reported significantly different problems perceived to be caused by gambling (χ
2=25.68, df=4, p<0.0001). Of the specific types of problems reported, legal problems and financial problems distinguished male and female gamblers (
+Table 1). Male gamblers were significantly more likely than female gamblers to report gambling-related arrests, and female gamblers were significantly more likely to report gambling-related illegal activities in the absence of arrest. Female gamblers were more likely to report financial problems caused by gambling, although high rates of these problems were observed in both groups.
Male and female gamblers had significantly different financial problems related to gambling (χ
2=6.11, df=2, p<0.05). Female gamblers were significantly more likely than male gamblers to report having debts, but high rates of indebtedness were observed in both groups (
+Table 1).
Male and female gamblers were distinguished by the types of debt they owed (χ
2=25.61, df=4, p<0.0001). Male gamblers were significantly more likely than female gamblers to report indebtedness to a bookie or loan shark, and female gamblers were significantly more likely to report credit debt (
+Table 1).
Male and female gamblers reported significantly different patterns of drug and alcohol problems (χ
2=9.11, df=2, p=0.01). Male gamblers were significantly more likely than female gamblers to report drug problems (
+Table 1). No statistically significant difference between the groups was observed in the rates of reported alcohol problems, with 14.9% of the female gamblers (N=30 of 202) and 20.0% of the male gamblers (N=66 of 330) acknowledging problems with alcohol.
The types of treatment received by male and female gamblers were significantly different (χ
2=13.74, df=3, p<0.004). Reported rates of nongambling, non-substance-related mental health treatment were significantly higher for female gamblers than for male gamblers (
+Table 1). Overall low and not significantly different rates between groups were observed for prior professional gambling treatment (male gamblers: N=10 of 309, 3.2%; female gamblers: N=3 of 191, 1.6%) and 12-step gambling program participation (male gamblers: N=42 of 309, 13.6%; female gamblers: N=16 of 191, 8.4%).