The first objective of the study sought to determine the Prevalence of sexual dysfunctions in Males who drink Alcohol.
Table 1
Prevalence of sexual dysfunctions in Males who drink Alcohol.
Variable | Freq (%) |
Erectile Function | 106(58.6) |
Intercourse satisfaction | 103(56.9) |
Orgasmic Function | 128(70.7) |
Sexual Desire | 114(63) |
Overall satisfaction | 94(51.9) |
Based on the provided information (Table 1), the prevalence of sexual dysfunctions in the study population suggest that a significant proportion of participants experienced sexual dysfunctions across various domains. Specifically, 58.6% of participants reported erectile dysfunction, 56.9% reported dissatisfaction with intercourse, 70.7% reported difficulty achieving orgasm, 63% reported decreased sexual desire, and 51.9% reported overall sexual dissatisfaction.
Overall, the prevalence of sexual dysfunctions in this study population is relatively high, with more than half of the participants experiencing some form of sexual dysfunction. The most commonly reported dysfunction was orgasmic function, followed by erectile function and sexual desire.
Table 2: Assessment of the pattern of sexual dysfunctions in the study population
|
|
Erectile Function
|
Intercourse Satisfaction
|
Orgasmic Function
|
|
Sexual Desire
|
|
Overall satisfaction
|
|
|
Stat
|
df
|
P
|
|
Stat
|
df
|
p
|
|
Stat
|
df
|
P
|
|
Stat
|
df
|
p
|
|
Stat
|
df
|
P
|
Age
|
|
-.153r
|
181
|
.039
|
|
-.105
|
181
|
.151
|
|
-.101
|
181
|
.177
|
|
-.006
|
181
|
.932
|
|
.220
|
181
|
.003
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Ethnicity
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Yoruba
|
68(56.2)
|
1.541X
|
3,178
|
.673
|
70(57.9)
|
1.361
|
3,178
|
.715
|
86(71.1)
|
1.426
|
3,178
|
.699
|
80(66.1)
|
3.109
|
3,178
|
.375
|
68(56.2)
|
3.528
|
3,178
|
.317
|
Igbo
|
20(57.1)
|
|
|
|
18(51.4)
|
|
|
|
26(74.3)
|
|
|
|
18(51.4)
|
|
|
|
17(48.6)
|
|
|
|
Hausa
|
1(100)
|
|
|
|
1(100)
|
|
|
|
1(100)
|
|
|
|
1(100)
|
|
|
|
1(100)
|
|
|
|
Others
|
14(66.7)
|
|
|
|
11(52.4)
|
|
|
|
13(61.9)
|
|
|
|
13(61.9)
|
|
|
|
8(38.1)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Marital Status
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Single
|
29(50.9)
|
2.612
|
2,181
|
.271
|
35(61.4)
|
2.104
|
2,181
|
.349
|
45(78.9)
|
4.467
|
2,181
|
.107
|
36(63.2)
|
2.22
|
2,181
|
.330
|
35(61.4)
|
3.752
|
2,181
|
.153
|
Married
|
71(61.2)
|
|
|
|
62(53.4)
|
|
|
|
76(65.5)
|
|
|
|
71(61.2)
|
|
|
|
54(46.6)
|
|
|
|
Separated
|
6(75.0)
|
|
|
|
6(75.0)
|
|
|
|
7(87.5)
|
|
|
|
7(87.5)
|
|
|
|
5(62.5)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Education
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
No Formal
|
1(100)
|
1.45
|
3,181
|
.694
|
1(100)
|
7.812
|
3,181
|
.050
|
1(100)
|
2.323
|
3,181
|
.508
|
1(100)
|
3.085
|
3,181
|
.379
|
1(100)
|
1.163
|
3,181
|
.762
|
Primary
|
5(71.4)
|
|
|
|
6(85)
|
|
|
|
5(71.4)
|
|
|
|
6(85.7)
|
|
|
|
3(42.9)
|
|
|
|
Secondary
|
19(54.3)
|
|
|
|
25(71.4)
|
|
|
|
28(80)
|
|
|
|
24(68.6)
|
|
|
|
18(51.4)
|
|
|
|
Tertiary
|
81(58.7)
|
|
|
|
71(51.4)
|
|
|
|
94(68.1)
|
|
|
|
83(60.1)
|
|
|
|
72(52.2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Employment
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Employed
|
88(59.1)
|
.086
|
1,181
|
.770
|
82(55)
|
1.205
|
1,181
|
.272
|
102(68.5)
|
2.082
|
1,181
|
.149
|
93(62.4)
|
116
|
1,181
|
.733
|
73(49.0)
|
2.919
|
1,181
|
.088
|
Unemployed
|
18(56.3)
|
|
|
|
21(65)
|
|
|
|
26(81.3)
|
|
|
|
21(65.6)
|
|
|
|
21(65.6)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Religion
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Christian
|
77(55.8)
|
2.335
|
1,180
|
.126
|
81(58.7)
|
.525
|
1,180
|
.469
|
93(67.4)
|
3.984
|
1,180
|
.046
|
87(63.0)
|
.021
|
1,180
|
.884
|
68(49.3)
|
2.058
|
1,180
|
.151
|
Muslim
|
29(69.0)
|
|
|
|
22(52.4)
|
|
|
|
35(83.3)
|
|
|
|
27(64.3)
|
|
|
|
26(61.9)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Active in Sex
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Yes
|
101(50.8)
|
.497
|
1,181
|
.481
|
98(56.3)
|
.626
|
1,181
|
.429
|
121(69.5)
|
3.015
|
1,181
|
.082
|
108(62.1)
|
1.614
|
1,181
|
.204
|
90(51.7)
|
.079
|
1,181
|
.778
|
No
|
5(71.4)
|
|
|
|
5(71.4)
|
|
|
|
7(100)
|
|
|
|
6(85.7)
|
|
|
|
4(57.1)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Times of Sex
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<2
|
47(63.5)
|
1.756
|
2,181
|
.416
|
58(78.4)
|
24.30
|
2,181
|
.001
|
58(78.4)
|
4.493
|
2,181
|
.106
|
52(70.3)
|
2.933
|
2,181
|
.231
|
36(48.6)
|
.860
|
2,181
|
.651
|
2-4
|
53(56.4)
|
|
|
|
41(43.6)
|
|
|
|
60(63.8)
|
|
|
|
54(57.4)
|
|
|
|
50(53.2)
|
|
|
|
>4
|
6(46.2)
|
|
|
|
4(30.8)
|
|
|
|
10(76.9)
|
|
|
|
8(61.5)
|
|
|
|
8(61.5)
|
|
|
|
The data (Table 2) presents the results of a study investigating patterns of sexual dysfunction among Nigerian men. The data shows the statistical values for various measures of sexual function, including erectile function, intercourse satisfaction, orgasmic function, sexual desire, and overall satisfaction, as well as the statistical values for various demographic factors, including age, ethnicity, marital status, education, employment, religion, active participation in sex, and frequency of sexual activity.
Based on the provided table, we can conclude that age has a significant negative correlation with erectile function and overall satisfaction, indicating that as men get older, they experience more difficulties with erectile function and overall sexual satisfaction. Ethnicity, marital status, education, employment, religion, active in sex, and times of sex have varying levels of association with sexual function and satisfaction measures.
Yoruba ethnicity appears to have a consistent positive association with sexual satisfaction measures, while the other ethnic groups show mixed results. Married individuals generally have higher levels of sexual satisfaction than single or separated individuals. Education level and employment status do not appear to have a consistent association with sexual satisfaction measures. Christian religion appears to have a significant positive association with orgasmic function, while Muslim religion has a positive association with sexual desire.
The results suggest that there are some significant associations between certain demographic factors and measures of sexual function. For example, age is negatively correlated with erectile function, and there are significant differences in intercourse satisfaction and sexual desire based on ethnicity. There are also significant differences in orgasmic function based on religion and frequency of sexual activity.
Being active in sex is associated with higher levels of erectile function, intercourse satisfaction, and overall satisfaction. The frequency of sex has a positive association with intercourse satisfaction and sexual desire, but a negative association with orgasmic function.
The frequency of sexual activity is associated with some differences in sexual function outcomes, with men who have sex less than twice a week reporting lower levels of intercourse satisfaction and sexual desire than men who have sex more than twice a week. Additionally, men who have sex less than twice a week report lower levels of overall satisfaction than men who have sex two to three times a week, although the difference is not statistically significant.
Overall, this data provides insight into the patterns of sexual dysfunction among Nigerian men and highlights the importance of considering demographic factors when assessing and treating sexual dysfunction.
Table 3
Association between Alcohol Use and types of Sexual Dysfunctions
| | Erectile Function | Intercourse Satisfaction | Orgasmic Function | Sexual Desire | Overall satisfaction |
| | Freq(%) | df | X2 | p | Freq(%) | df | X2 | p | Freq(%) | df | X2 | p | Freq(%) | df | X2 | p | Freq(%) | df | X2 | p |
Audit | Problem | 33(63.5) | 1,179 | .721 | .40 | 35(67.3) | 1,179 | 3.22 | .07 | 39(75) | 1,179 | .65 | .42 | 29(55.8) | 1,179 | 1.63 | .20 | 25(48.1) | 1,179 | .435 | .51 |
| No problem | 73(56.6) | | | | 68(52.7) | | | | 89(69) | | | | 85(65.9) | | | | 69(53.5) | | | |
C.A. Dep | Present | 22(59.5) | 1,179 | .015 | .90 | 23(62.2) | 1,179 | .524 | .47 | 30(81.1) | 1,179 | 2.41 | .12 | 21(56.8) | 1,179 | .773 | .38 | 23(62.2) | 1,179 | 1.95 | .16 |
| Absent | 84(58.3) | | | | 80(55.6) | | | | 98(68.1) | | | | 93(64.6) | | | | 71(49.3) | | | |
C.A. Abuse | Present | 13(76.5) | 1,179 | 2.48 | .12 | 11(64.7) | 1,179 | .465 | .50 | 15(88.2) | 1,179 | 2.78 | .09 | 11(64.7) | 1,179 | .024 | .88 | 12(70.6) | 1,179 | 2.62 | .12 |
| Absent | 93(56.7) | | | | 92(56.1) | | | | 113(68.9) | | | | 103(62.8) | | | | 82(50) | | | |
L.A. Dep | Present | 23(60.5) | 1,179 | .076 | .78 | 22(57.9) | 1,179 | .019 | .89 | 29(76.3) | 1,179 | .728 | .40 | 22(57.9) | 1,179 | .534 | .47 | 25(65.8) | 1,179 | 3.70 | .054 |
| Absent | 83(58) | | | | 81(56.6) | | | | 99(69.2) | | | | 92(64.3) | | | | 69(48.3) | | | |
L.A. Abuse | Present | 4(44.4) | 1,179 | .78 | .38 | 6(66.7) | 1,179 | .368 | .54 | 8(88.9) | 1,179 | 1.51 | .22 | 5(55.6) | 1,179 | .22 | .64 | 6(66.7) | 1,179 | .824 | .364 |
| Absent | 102(59.3) | | | | 97(56.4) | | | | 120(69.8) | | | | 109(63.4) | | | | 88(51.2) | | | |
(Table 3) shows the frequency and percentage of respondents who reported problems in each sexual function domain, based on the presence or absence of each factor. Overall, it provides insight of the relationship between different factors and male sexual function based on their level of alcohol use and different types of depression and abuse. The result is a crosstabulation of various factors (i.e., Audit, C.A. Dep, C.A. Abuse, L.A. Dep, L.A. Abuse) with different domains of male sexual function (i.e., Erectile Function, Intercourse Satisfaction, Orgasmic Function, Sexual Desire, and Overall Satisfaction).
From the first row of the table, we can see that 33 out of 52 respondents with a reported problem on the Audit (63.5%) reported problems with Erectile Function. However, the Chi-Square test indicates that the relationship between Audit and Erectile Function is not significant (X2 = 1.179, p = .721).
Similarly, the table shows that the presence or absence of C.A. Dep, C.A. Abuse, L.A. Dep, and L.A. Abuse is not significantly associated with any of the sexual function domains except for L.A. Dep and Overall Satisfaction, which has a marginally significant relationship (X2 = 3.70, p = .054).
The results indicate that individuals who have problems with alcohol use are more likely to experience sexual dysfunctions underscoring the study of (Mendelson and Mello, 1979; Grover et al., 2014). Specifically, those who reported alcohol use problems had a higher percentage of problems in erectile function (63.5%) and overall satisfaction (48.1%) compared to those who reported no problem with alcohol use (56.6% and 53.5%, respectively). However, there was no significant association between alcohol use problems and the other types of sexual dysfunctions, including intercourse satisfaction, orgasmic function, and sexual desire.
Regarding depression, the table shows that individuals with present depression had a slightly higher percentage of problems in intercourse satisfaction (62.2%) and overall satisfaction (62.2%) compared to those with absent depression (55.6% and 49.3%, respectively). However, there was no significant association between depression and the other types of sexual dysfunctions.
Similarly, there was no significant association between abuse (either alcohol or life) and most types of sexual dysfunctions, except for orgasmic function, where individuals with present alcohol abuse (88.2%) had a higher percentage of problems compared to those with absent alcohol abuse (68.9%).
The results generally indicate that there was no main statistically significant relationship between alcohol use and sexual functions.
Table 4: Independent Risk Factors of Sexual Dysfunctions in Males who drink Alcohol
|
Erectile Function
|
Intercourse Satisfaction
|
Orgasmic Function
|
Sexual Desire
|
Overall satisfaction
|
|
B
|
SE
|
df
|
Exp(B)
|
B
|
SE
|
df
|
Exp(B)
|
B
|
SE
|
df
|
Exp(B)
|
B
|
SE
|
df
|
Exp(B)
|
B
|
SE
|
df
|
Exp(B)
|
Age
|
-.016
|
.025
|
1,51
|
.984
|
.004
|
.026
|
1,51
|
1.004
|
-.001
|
.028
|
1,51
|
.999
|
-.040
|
.026
|
1,51
|
.961
|
-.060
|
.028
|
1,51
|
.942*
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Marital Status (single)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Married
|
.537
|
.632
|
1,51
|
1.711
|
.847
|
.649
|
|
2.333
|
1.435
|
.701
|
|
4.2*
|
-.511
|
.626
|
|
.600
|
-.251
|
.614
|
|
.778
|
Separated
|
-.251
|
1.120
|
|
.778
|
-.251
|
1.120
|
|
.778
|
.847
|
1.260
|
|
2.333
|
.588
|
1.265
|
|
1.800
|
1.099
|
1.258
|
|
3.000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Edu(Pry)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Secondary
|
.405
|
1.394
|
|
1.50
|
-.118
|
1.339
|
|
.889
|
1.204
|
1.560
|
|
3.333
|
.405
|
1.394
|
|
1.500
|
.405
|
1.394
|
|
1.50
|
Tertiary
|
-.827
|
1.201
|
|
.438
|
-.486
|
1.205
|
|
.615
|
-.238
|
1.209
|
|
.788
|
-1.26
|
1.201
|
|
.283
|
-1.71
|
1.205
|
|
.181
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Employment
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Employed
|
1.326
|
1.261
|
|
3.765
|
-
|
-
|
|
-
|
1.933
|
1.272
|
|
6.909
|
-
|
-
|
|
-
|
.652
|
1.258
|
|
1.920
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Religion (Chr)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Muslim
|
2.057
|
1.095
|
|
7.826
|
.954
|
.846
|
|
2.596
|
1.420
|
1.104
|
|
4.138
|
.932
|
.746
|
|
2.540
|
1.326
|
.748
|
|
3.765
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Times of Sex(<2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2-4
|
-1.455
|
.745
|
|
3.818
|
-2.523
|
1.103
|
|
.080*
|
-.254
|
.719
|
|
.776
|
-1.27
|
.659
|
|
.282
|
-1.33
|
.648
|
|
.265*
|
>4
|
-1.609
|
.949
|
|
2.878
|
-3.344
|
1.262
|
|
.035*
|
-.154
|
.994
|
|
.857
|
-.445
|
.900
|
|
.641
|
-.693
|
.866
|
|
.500
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The result from (Table 4) presents the logistic regression analysis that aimed to identify independent risk factors for sexual dysfunctions in males who drink alcohol. The results show the regression coefficients (B), the standard error (SE), the degrees of freedom (df), and the exponentiated regression coefficients (Exp(B)), which represent the odds ratio for each independent variable.
The analysis revealed that age was not a significant predictor of any of the sexual dysfunctions measured. Confirming the study by (Mattson et al., 2012) which established that marital status was a significant predictor of intercourse satisfaction, with married men reporting higher satisfaction than single men and separated men. Employment status was a significant predictor of sexual desire, with employed men reporting higher sexual desire. Religion was a significant predictor of erectile function and sexual satisfaction, with Men who identified as Muslim having higher levels of erectile function, intercourse satisfaction, and overall satisfaction compared to men who identified as Christian.
The number of times having sex per week was also a significant predictor of erectile function and overall satisfaction, with men who reported having sex less than two times per week having lower erectile function and overall satisfaction compared to men who reported having sex more frequently (2–4 or > 4 times per week).
Education level did not show significant effects on any of the sexual dysfunctions measured, and marital status and religion did not show significant effects on orgasmic function. The results suggest that, in males who drink alcohol, certain factors such as employment status, marital status, frequency of sexual activity, and religion may influence their sexual dysfunctions, which can help guide interventions to improve sexual function in this population.
These findings suggest that addressing these risk factors could potentially improve sexual functioning in males who drink alcohol. It may have important implications for the development of interventions and treatment programs for sexual dysfunction in men who drink alcohol.