Objectives: We examined correlates of 1) being a virgin; 2) drug or alcohol use prior to the last intercourse; and 3) condom use during the last intercourse in a sample of college students. Methods: We recruited 24,055 students at six colleges in the Southeast to complete an online survey, yielding 4840 responses (20.1% response rate), with complete data from 4514. Results: Logistic regression indicated that correlates of virginity included being younger (p < 0.001), male (p = 0.01), being White or other ethnicity (p < 0.001), attending a four- vs. two-year school (p < 0.001), being single/never married (p < 0.001), lower sensation seeking (p < 0.001), more regular religious service attendance (p < 0.001), lower likelihood of smoking (p < 0.001) and marijuana use (p = 0.002), and less frequentdrinking (p < 0.001). Correlates of alcohol or drug use prior to most recent intercourse including being older (p = 0.03), being White (p < 0.01), attending a four-year college (p < 0.001), being homosexual (p = 0.041) or bisexual (p = 0.011), having more lifetime sexual partners (p = 0.005), lower satisfaction with life (p = 0.004), greater likelihood of smoking (p < 0.001) and marijuana use (p < 0.001), and more frequent drinking (p < 0.001). Correlates of condom use during the last sexual intercourse including being older (p = 0.003), being female (p < 0.001), being White (p < 0.001), attending a two-year school (p = 0.04), being single/never married (p = 0.005), being homosexual or bisexual (p = 0.04), and a more frequent drinking (p = 0.001). Conclusions: Four-year college attendees were more likely to be a virgin but, if sexually active, reported higher sexual risk behaviors. These nuances regarding sexual risk may provide targets for sexual health promotion programs and interventions.
Young adults are likely to initiate risky health behaviors during college years. Sexual risk behaviors (e.g., number of partners, alcohol or drug use prior to intercourse, condom use) are particularly pervasive among college students (Lao, 2014; O’Malley, 2002). Most college students are or have been sexually active, with only 36.3% of students reporting being a virgin (American College Health Association, 2012) [
One safe sex practice involves consistent use of condoms or other contraceptives. The consistent and correct use of condoms is a potentially efficacious strategy to avert many of the sexually transmitted infections (STIs) commonly diagnosed in the United States (Centers for Disease Control and Prevention, 2010) [
Problem Behavior Theory (Jessor & Jessor, 1977) [
In light of this aforementioned research, the goal of the current study was to identify sociodemographic characteristics, psychosocial factors (i.e., satisfaction with life, sensation seeking, religious service attendance), and substance use patterns related to three sexual behavior outcomes among a sample of racially/ethnically diverse young adult college students in the Southeastern US. Specifically, we examined the outcomes of lifetime abstinence from sexual intercourse, alcohol or drug use prior to most recent intercourse experience, and condom use during the most recent intercourse.
In October 2010, students at six colleges in the Southeast were recruited to complete an online survey. A random sample of 5000 students at each school (with the exclusion of two schools who had enrollment less than 5000) were invited to complete the survey (total invited N = 24,055). Students received an e-mail containing a link to the consent form with the alternative of opting out. The consent form included information about the study (i.e., cross-sectional survey about college student health), including the fact that their participation was strictly voluntary and that they could withdraw at any time without penalty. Students who consented to participate were directed to the online survey. To encourage participation, students received up to three e-mail invitations to participate. As an incentive for participation, all students who completed the survey were entered into a drawing for cash prizes of $1000 (one prize), $500 (two prizes), and $250 (four prizes) at each participating school.
Of students invited to participate, 4840 (20.1%) returned a completed survey. Consistent with our focus on young adults who may be initiating or escalating their smoking, the present study focused on students aged 18 - 30 years who also had complete sexual behavior data. Thus, the analyses were conducted on a final sample size of N = 4514. The Emory University Institutional Review Board approved this study, IRB# 00030631.
The online survey contained 230 questions assessing a variety of health topic areas, which took approximately 20 - 25 minutes to complete. For the current investigation, only questions related to sociodemographic characteristics, sexual behaviors, and the predictor factors of interest were included.
We assessed students’ age, gender, ethnicity, highest parental educational attainment, and relationship status. Race/ethnicity was categorized as non-Hispanic White, Black, or other due to the small numbers of participants who reported other race/ethnicities. Relationship status was categorized as single/never married versus other. For ease of interpretation, these categorizations were chosen.
To assess sexual orientation, we asked, “What best describes your sexual orientation? Heterosexual; Homosexual; or Bisexual”. To assess sexual activity, we asked, “During your life, with how many people have you had sexual intercourse?” and “During the past 12 months, with how many people did you have sexual intercourse?” To assess two important indicators of sexual risk, we asked “Did you drink alcohol or use drugs before you had sexual intercourse the last time?” and “The last time you had sexual intercourse, did you or your partner use a condom?” with response options of “I have never had sexual intercourse; Yes; or No.”
To assess satisfaction with life, we administered the Satisfaction with Life Scale (Diener, Emmons, Larsen, & Griffin, 1985) [
To assess other substance use, students were asked, “In the past 30 days, on how many days did you smoke a cigarette (even a puff)? Use marijuana (pot, weed, hashish, hash oil)? Drink alcohol? Drink more than 5 alcoholic drinks on one occasion?” These questions have been used to assess tobacco use in the American College Health Association (ACHA) surveys, National College Health Risk Behavior Survey (NCHRBS), and Youth Risk Behavior Survey (YRBS), and their reliability and validity have been documented by previous research (ACHA, 2008; CDC, 1997) [
Participant characteristics were summarized using descriptive statistics. Bivariate analyses were conducted com- paring those who reported never having engaged in sex versus those who have. Then, among those who had previously engaged in sexual activity, we examined differences among those who reported using drugs or alcohol prior to the last intercourse versus not and among those who reported using a condom during the last intercourse versus not. We used chi-squared tests for categorical variables and t-tests for continuous variables. Binary logistic regression was used to determine factors associated with having previously been sexually active versus not among all participants. Then, among sexually active participants, we conducted binary logistic regression to determine factors associated with the two sexual behaviors of interest. Thus, we conducted three multivariate models. The predictors of interest (i.e., sociodemographics, psychosocial factors, and substance use) were forced into each model. To account for number of previous sex partners in the regression models, we used lifetime number of sexual partners rather than past-year number of partners given the population of younger adults and relatively shorter sexual history for this group. To account for alcohol consumption in the regression models, we used number of days of alcohol use rather than binge drinking to account for frequency of consumption. SPSS 21.0 was used for all data analyses. Statistical significance was set at p = 0.05 for all tests.
In terms of bivariate associations related to lifetime sexual activity (
Bivariate analyses (
. Participant characteristics and bivariate analyses of sexual risk variables.
Variable | Total | Virgin | Used Alcohol or Drugs Prior to Last Intercourse | Used Condom during Last Intercourse | ||||||
---|---|---|---|---|---|---|---|---|---|---|
N (%) or M (SD) | No N (%) or M (SD) | Yes N (%) or M (SD) | p | No N (%) or M (SD) | Yes N (%) or M (SD) | p | No N (%) or M (SD) | Yes N (%) or M (SD) | p | |
Sociodemographics | ||||||||||
Age (SD) | 23.54 (7.20) | 24.13 (7.40) | 20.40 (3.99) | <0.001 | 24.19 (7.50) | 23.86 (6.91) | 0.310 | 26.03 (5.80) | 25.71 (8.45) | <0.001 |
Gender (%) | 0.010 | <0.001 | <0.001 | |||||||
Male | 1035 (28.7) | 1035 (27.9) | 259 (32.0) | 796 (25.8) | 239 (38.2) | 576 (30.8) | 459 (25.0) | |||
Female | 3220 (71.3) | 2670 (72.1) | 550 (68.0) | 2284 (74.2) | 386 (61.8) | 1296 (69.2) | 1374 (75.0) | |||
Race (%) | <0.001 | <0.001 | <0.001 | |||||||
White | 2056 (45.5) | 1733 (46.8) | 323 (39.9) | 1378 (44.7) | 355 (56.8) | 752 (40.2) | 981 (53.5) | |||
Black | 1766 (39.1) | 1463 (39.5) | 303 (37.5) | 1276 (41.4) | 187 (29.9) | 860 (45.9) | 603 (32.9) | |||
Other | 692 (15.3) | 509 (13.7) | 183(22.6) | 426 (13.8) | 83 (13.3) | 260 (13.9) | 249 (13.6) | |||
School Type (%) | <0.001 | <0.001 | <0.001 | |||||||
Four-year | 2805 (62.1) | 2171 (58.6) | 634 (78.4) | 1767 (57.4) | 404 (64.6) | 1251 (66.8) | 920 (50.2) | |||
Two-year | 1709 (37.9) | 1534 (41.4) | 175 (21.6) | 1313 (42.6) | 221 (35.4) | 621 (33.2) | 913 (49.8) | |||
Relationship Status (%) | <0.001 | <0.001 | <0.001 | |||||||
Single/Never Married | 3337 (73.9) | 2546 (68.7) | 791 (97.8) | 2070 (67.2) | 476 (76.2) | 1551 (82.9) | 995 (54.3) | |||
Other | 1177 (26.1) | 1159 (31.3) | 18 (2.2) | 1010 (32.8) | 149 (23.8) | 321 (17.1) | 838 (45.7) | |||
Sexual Orientation (%) | 0.021 | <0.001 | 0.020 | |||||||
Heterosexual | 4218 (93.4) | 3447 (93.0) | 771 (95.3) | 2899 (94.1) | 548 (87.7) | 1758 (93.9) | 1689 (92.1) | |||
Homosexual | 131 (2.9) | 110 (3.0) | 21 (2.6) | 84 (2.7) | 26 (4.2) | 42 (2.2) | 68 (3.7) | |||
Bisexual | 165 (3.7) | 148 (4.0) | 17 (2.1) | 97 (3.1) | 51 (8.2) | 72 (3.8) | 76 (3.8) | |||
Psychosocial Risk Factors | ||||||||||
No. Partners in Lifetime (SD) | 6.58 (13.25) | 8.01 (14.23) | -- | <0.001 | 7.10 (12.40) | 12.52 (20.48) | <0.001 | 6.76 (10.97) | 9.29 (16.83) | 0.471 |
No. Partners, Past 12 Months (SD) | 3.27 (5.16) | 1.84 (4.11) | -- | <0.001 | 1.68 (3.93) | 2.65 (4.83) | <0.001 | 2.04 (5.48) | 1.64 (1.84) | 0.131 |
Satisfaction with Life (SD) | 22.20 (7.50) | 22.08 (7.48) | 22.81 (7.55) | 0.022 | 22.28 (7.44) | 21.03 (7.61) | <0.001 | 22.37 (7.36) | 21.77 (7.60) | 0.022 |
Sensation Seeking (SD) | 3.32 (0.90) | 3.34 (0.89) | 3.22 (0.92) | 0.001 | 3.30 (0.89) | 3.58 (0.86) | <0.001 | 3.38 (0.87) | 3.31 (0.91) | 0.031 |
Religious Services Attendance (SD) | 3.01 (1.48) | 2.90 (1.45) | 3.46 (1.48) | <0.001 | 2.98 (1.46) | 2.52 (1.38) | <0.001 | 2.98 (1.42) | 2.83 (1.49) | 0.004 |
Substance Use Risk Factors | ||||||||||
Past 30-Day: | ||||||||||
Cigarette Use (%) | <0.001 | <0.001 | <0.001 | |||||||
No | 3364 (76.3) | 2635 (72.8) | 729 (92.5) | 2333 (77.4) | 302 (49.8) | 1382 (75.9) | 1253 (69.6) | |||
Yes | 1045 (23.7) | 986 (27.2) | 59 (7.5) | 682 (22.6) | 304 (50.2) | 440 (24.1) | 546 (30.4) | |||
Marijuana Use (%) | <0.001 | <0.001 | 0.062 | |||||||
No | 3771 (86.3) | 3028 (84.4) | 743 (94.5) | 2671 (89.5) | 357 (59.3) | 1540 (85.4) | 1488 (83.5) | |||
Yes | 601 (13.7) | 558 (15.6) | 43 (5.5) | 313 (10.5) | 245 (40.7) | 263 (14.6) | 295 (16.5) | |||
High Risk Drinking (%) | <0.001 | <0.001 | 0.132 | |||||||
No | 3497 (77.5) | 2766 (74.7) | 731 (90.4) | 2498 (81.1) | 268 (42.9) | 1413 (75.5) | 1353 (73.8) | |||
Yes | 1017 (22.5) | 939 (25.3) | 78 (9.6) | 582 (18.9) | 357 (57.1) | 459 (24.5) | 480 (26.2) | |||
No. Days Drinking Alcohol (SD) | 3.27 (5.16) | 3.71 (5.43) | 1.29 (3.02) | 0.001 | 2.85 (4.60) | 7.96 (6.97) | <0.001 | 3.45 (5.08) | 3.98 (5.76) | 0.181 |
. Binary logistic regression indicating correlates of sexual behavior factors.
Variable | Virgin | Used Alcohol or Drugs Prior to Last Intercourse | Used Condom during Last Intercourse | ||||||
---|---|---|---|---|---|---|---|---|---|
OR | CI | p | OR | CI | p | OR | CI | p | |
Sociodemographics | |||||||||
Age | 0.89 | 0.86, 0.93 | <.001 | 1.02 | 1.00, 1.04 | 0.031 | 1.02 | 1.01, 1.04 | 0.003 |
Gender | |||||||||
Male | Ref | -- | -- | Ref | -- | -- | Ref | -- | -- |
Female | 0.68 | 0.56, 0.84 | <0.001 | 1.07 | 0.85, 1.36 | 0.551 | 1.52 | 1.28, 1.81 | <0.001 |
Race | |||||||||
White | Ref | -- | -- | Ref | -- | -- | Ref | -- | -- |
Black | 0.49 | 0.40, 0.61 | <0.001 | 0.65 | 0.50, 0.85 | 0.007 | 0.70 | 0.58, 0.83 | <0.001 |
Other | 1.17 | 0.91, 1.51 | 0.211 | 0.85 | 0.61, 1.19 | 0.002 | 0.93 | 0.74, 1.18 | 0.562 |
School Type | |||||||||
Four-year | Ref | -- | -- | Ref | -- | -- | Ref | -- | -- |
Two-year | 0.63 | 0.50, 0.79 | <0.001 | 0.76 | 0.58, 0.99 | <0.001 | 1.20 | 1.00, 1.44 | 0.040 |
Relationship Status | |||||||||
Single/Never Married | Ref | -- | -- | Ref | -- | -- | Ref | -- | -- |
Other | 0.07 | 0.04, 0.13 | <0.001 | 0.56 | 0.42, 0.75 | 0.331 | 3.36 | 2.77, 4.07 | 0.005 |
Sexual Orientation | |||||||||
Heterosexual | Ref | -- | -- | Ref | -- | -- | Ref | -- | -- |
Homosexual | 1.24 | 0.70, 2.19 | 0.471 | 1.68 | 1.00, 2.94 | 0.041 | 1.63 | 1.03, 2.58 | 0.040 |
Bisexual | 0.87 | 0.47, 1.61 | 0.662 | 2.00 | 1.24, 3.23 | 0.011 | 0.87 | 0.58, 1.30 | 0.509 |
Psychosocial Risk Factors | |||||||||
No. Partners in Lifetime | -- | -- | -- | 1.01 | 1.00, 1.02 | 0.005 | 1.01 | 1.00, 1.01 | 0.069 |
Satisfaction with Life | 0.99 | 0.98, 1.00 | 0.051 | 0.99 | 0.97, 1.00 | 0.004 | 0.99 | 0.98, 1.01 | 0.264 |
Sensation Seeking | 0.81 | 0.73, 0.90 | <0.001 | 1.09 | 0.96, 1.24 | 0.192 | 0.99 | 0.91, 1.09 | 0.884 |
Religious Services Attendance | 1.26 | 1.17, 1.34 | <0.001 | 1.01 | 0.93, 1.10 | 0.792 | 0.97 | 0.92, 1.03 | 0.343 |
Substance Use Risk Factors | |||||||||
Past 30-Day: | |||||||||
Cigarette Use | |||||||||
No | Ref | -- | -- | Ref | -- | -- | Ref | -- | -- |
Yes | 0.43 | 0.31, 0.59 | <0.001 | 2.07 | 1.63, 2.62 | <0.001 | 0.92 | 0.76, 1.11 | 0.403 |
Marijuana Use | |||||||||
No | Ref | -- | -- | Ref | -- | -- | Ref | -- | -- |
Yes | 0.56 | 0.38, 0.81 | 0.002 | 3.57 | 2.77, 4.60 | <0.001 | 1.02 | 1.00, 1.03 | 0.060 |
No. Days Drinking Alcohol | 0.89 | 0.86, 0.92 | <0.001 | 1.11 | 1.09, 1.13 | <0.001 | 1.47 | 1.17, 1.84 | 0.001 |
were more likely to be male (p < 0.001), White (p < 0.001), four-year college attendees (p < 0.001), single/never married (p < 0.001), and heterosexual (p < 0.001). They also reported higher satisfaction with life (p < 0.001), greater sensation seeking (p < 0.001), and more regular church attendance (p < 0.001). In terms of substance use in the past 30 days, those who had not used a condom during their most recent intercourse were more likely to use cigarettes (p < 0.001) and marginally more likely to use marijuana (p = 0.06). Binary logistic regression (
In terms of bivariate relationships (
This study documented sociodemographic characteristics, psychosocial factors, and substance use behaviors associated with ever having sex and, among those sexually active, substance use prior to last sexual intercourse and condom use at last sexual intercourse among a racially diverse college student population. Particularly important correlates of sexual risk behavior included race, type of school attended, sexual orientation, and substance use including past 30-day cigarette, marijuana, and alcohol use.
Sociodemographic characteristics were significantly associated with all three behavioral outcomes of interest and warrant elaboration. Those who were younger were more likely to be virgins, and if sexually active, were less likely to have used substances prior to intercourse. However, they were also less likely to have used condoms. Whites were less likely to be sexually active, but if active, were more likely to have used substances but also more likely to have used condoms. Interestingly, compared with two-year college students, four-year college attendees were more likely to be a virgin but, if sexually active, reported higher sexual risk behaviors. Recent literature shows that sexually active two year college students have higher sexual risk behaviors than their four-year college counterparts (Eisenberg, Lust, & Garcia, 2014) [
Relationship factors were also important. Being single was associated with being a virgin, while those in relationships were less likely to have used condoms. In terms of sexual orientation, being homosexual or bisexual was associated with substance use prior to sex, which is consistent with prior research (Mereish, O’Cleirigh, & Bradford, 2014) [
We also found the anticipated associations with substance use and sexual risk behaviors. Specifically, substance use generally was associated with being sexually active, having used substances prior to intercourse, and lack of condom use, which is consistent with prior research (Simons, Maisto, & Wray, 2010) [
Psychosocial factors only played a significant role in differentiating groups in the bivariate analysis and were less predictive of sexual risk behavior in the logistic regressions. Satisfaction with life, sensation seeking, and religious attendance were significantly different among students engaging in all three sexual behavior outcomes of interest. However, these psychosocial factors were significantly correlated only with virginity in the regressions. Virgins were more likely to attend religious services and report less sensation seeking behaviors compared to sexually active students. Psychosocial factors were not significantly correlated with alcohol use prior to last intercourse or condom use prior to last intercourse. This finding suggests that psychosocial factors may offer a protective effect for sexual initiation thereby mitigating or delaying some sexual risk behaviors among college students.
This study has implications for research and practice. In research, further studies are needed to understand the psychosocial and demographic factors that influence multi-risk behaviors among college students. Particularly important groups to study are students attending two versus four year colleges as well as sexually active versus non-sexually active students. In practice, health promotion program development needs to account for concurrent and multiple risk behaviors among collegiate populations. College is a time of emerging adulthood where new risk behaviors are often initiated and health behavior patterns are established (Wetherill, Neal, & Fromme, 2010) [
Limitations to this study include limited generalizability due to recruitment at six colleges in the Southeast, with the participants being primarily female and White. This is important because minority smokers are more likely to be nondaily smokers. An additional limitation is the low response rate (20.1%), which may suggest response bias. However, previous research has found that the average email survey response rate is 24%, which is only slightly higher than the response rate for this survey (Sheehan, 2001). In addition, it is possible that some recruited students did not open the e-mail or had inactive accounts, which would influence the response rate. How- ever, this cannot be assessed in the current study. Furthermore, previous research has indicated that, despite low- er response rates, internet surveys yield similar data regarding health behaviors compared to mail and phone sur- veys (An, 2007). Despite these limitations, this study provides novel findings regarding sexual risk behavior among racially diverse college students.
In conclusion, our study shows that sociodemographic, psychosocial, and health behavior risk factors play a role in determining sexual risk behavior in students attending colleges in the Southeastern US. Consistent with existing literature, our data shows that college is a time when young adults may initiate or engage in risky health behaviors and interventions considering these factors are necessary to promote healthy behaviors and sexual risk reduction strategies. This analysis provides insight into specific individual factors like sexual orientation, school type, and substance use that are significantly associated with sexual risk behaviors. Given the variety of factors that influence sexual risk behavior, multi-risk behavior interventions may be necessary to target sexual risk behavior from multiple angles of influence.
This research was supported by the National Cancer Institute (1K07CA139114-01A1; PI: Berg) and the Georgia Cancer Coalition (PI: Berg).
The authors declare no conflicts of interest.
We would like to thank our collaborators across the state of Georgia in developing and administering this survey.