Abstract
Introduction
Previous literature has established positive associations between geosocial networking apps (GSNA) use and risky sexual behaviors. The current study seeks to confirm such associations and further explore the potential demographic and psychological moderators of such relationships.
Methods
The current study conducted a cross-sectional survey with young adults (n = 680) in the USA. We tested the main and interaction effects of age, sex, relationship status, Greek affiliation, sociosexuality, sexual compulsivity, and sexual sensation seeking, while controlling for race, sexual orientation, and college student status.
Results
The results showed that GSNA use was significantly associated with having three or more sexual partners, having more hookups, and having condomless sex within the last 6 months. Furthermore, moderated regression models showed that age, being male, being single, being in a Greek organization, sociosexuality, sexual compulsivity, and sexual sensation seeking moderated the relationships between GSNA use and different risky sexual behavioral outcomes. The GSNA use was not associated with having an STI in the last year, potentially due to under-testing and under-reporting of STI.
Conclusions
GSNA use has magnifying effects on risky sexual behaviors among younger single males. The relationships between GSNA and risky sexual behaviors might be more prominent among certain individuals, such as those who are sociosexually unrestricted, sexually compulsive, and sexual sensation seekers.
Policy Implications
Some risk-reduction messages promoting condom use and regular STI testing could be strategically placed on GSNA to target those susceptible GSNA users, an effective strategy for GSNA primarily used among men who have sex with men.
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Availability of Data and Material
The data is available upon request to the corresponding author.
Code Availability
SPSS 27 was used in the data analysis. The code is available upon request to the corresponding author.
References
Abramova, O., Baumann, A., Krasnova, H., & Buxmann, P. (2016). Gender differences in online dating: What do we know so far? A systematic literature review. 2016 49th Hawaii International Conference on System Sciences, 3858–3867. https://doi.org/10.1109/HICSS.2016.481
Arnocky, S., Woodruff, N., & Schmitt, D. P. (2016). Men’s sociosexuality is sensitive to changes in mate availability. Personal Relationships, 23(1), 172–181. https://doi.org/10.1111/pere.12118
Beymer, M. R., Weiss, R. E., Bolan, R. K., Rudy, E. T., Bourque, L. B., Rodriguez, J. P., & Morisky, D. E. (2014). Sex on demand: Geosocial networking phone apps and risk of sexually transmitted infections among a cross-sectional sample of men who have sex with men in Los Angeles county. Sexually Transmitted Infections, sextrans–2013–051494. https://doi.org/10.1136/sextrans-2013-051494
Botnen, E. O., Bendixen, M., Grøntvedt, T. V., & Kennair, L. E. O. (2018). Individual differences in sociosexuality predict picture-based mobile dating app use. Personality and Individual Differences, 131, 67–73. https://doi.org/10.1016/j.paid.2018.04.021
Centers for Disease Control and Prevention. (2018). 2017 sexually transmitted disease surveillance. Centers for Disease Control and Prevention. https://www.cdc.gov/std/stats17/default.htm
Centers for Disease Control and Prevention. (2019). 2018 sexually transmitted disease surveillance. Centers for Disease Control and Prevention. https://www.cdc.gov/std/stats18/default.htm
Chan, J., & Ghose, A. (2012). Internet’s dirty secret: Assessing the impact of online intermediaries on the outbreak of sexually transmitted diseases. MIS Quarterly, 38(4), 955–976.
Choi, E. P. H., Wong, J. Y. H., Lo, H. H. M., Wong, W., Chio, J. H. M., & Fong, D. Y. T. (2016a). The impacts of using smartphone dating applications on sexual risk behaviours in college students in Hong Kong. PLoS One, 11(11), e0165394. https://doi.org/10.1371/journal.pone.0165394
Choi, E. P. H., Wong, J. Y. H., Lo, H. H. M., Wong, W., Chio, J. H. M., & Fong, D. Y. T. (2016b). The association between smartphone dating applications and college students’ casual sex encounters and condom use. Sexual & Reproductive Healthcare, 9, 38–41. https://doi.org/10.1016/j.srhc.2016.07.001
Coleman, E., Raymond, N., & McBean, A. (2003). Assessment and treatment of compulsive sexual behavior. Minnesota Medicine, 86(7), 42–47.
Dai, M. (2021). Examine the associations between smartphone hookup application uses and sexual health and relationship outcomes among college students. Journal of American College Health. https://doi.org/10.1080/07448481.2021.1898406
Dai, M., & Robbins, R. (2020). Exploring the influences of profile perceptions and different pick-up lines on dating outcomes on Tinder: an online experiment. Computers in Human Behavior, 117 (106667). https://doi.org/10.1016/j.chb.2020.106667
Dai, M., Wombacher, K., Matig, J. J., & Harrington, N. G. (2018). Using the integrative model of behavioral prediction to understand college students’ hookup sex beliefs, intentions, and behaviors. Health Communication, 33(9), 1078–1087. https://doi.org/10.1080/10410236.2017.1331306
Dodge, B., Reece, M., Cole, S. L., & Sandfort, T. G. M. (2004). Sexual compulsivity among heterosexual college students. Journal of Sex Research, 41(4), 343–350. https://doi.org/10.1080/00224490409552241
Duncan, L. A., Park, J. H., Faulkner, J., Schaller, M., Neuberg, S. L., & Kenrick, D. T. (2007). Adaptive allocation of attention: Effects of sex and sociosexuality on visual attention to attractive opposite-sex faces. Evolution and Human, 28(5), 359–364. https://doi.org/10.1016/j.evolhumbehav.2007.05.001
Eberhardt, D., Rice, N. D., & Smith, L. (2003). Effects of Greek membership on academic integrity, alcohol abuse, and risky sexual behaviors at a small college. Journal of Student Affairs Research and Practice, 41(1), 137–148. https://doi.org/10.2202/1949-6605.1306
Fong, T. W. (2006). Understanding and managing compulsive sexual behaviors. Psychiatry (edgmont), 3(11), 51–58.
Garcia, J. R., Reiber, C., Massey, S. G., & Merriwether, A. M. (2012). Sexual hookup culture: a review. Review of General Psychology, 16(2), 161–176. https://doi.org/10.1037/a0027911
Greenfield, R. (2013). Tinder: a hookup app women actually use. The Atlantic. http://www.theatlantic.com/national/archive/2013/02/tinder-hook-app-women-actually-use/317875/
Griffin, M., Canevello, A., & McAnulty, R. D. (2018). Motives and concerns associated with geosocial networking app usage: an exploratory study among heterosexual college students in the united states. Cyberpsychology, Behavior and Social Networking, 21(4), 268–275. https://doi.org/10.1089/cyber.2017.0309
Grov, C., Parsons, J. T., & Bimbi, D. S. (2010). Sexual compulsivity and sexual risk in gay and bisexual men. Archives of Sexual Behavior, 39(4), 940–949. https://doi.org/10.1007/s10508-009-9483-9
Gullette, D. L., & Lyons, M. A. (2005). Sexual sensation seeking, compulsivity, and HIV Risk behaviors in college students. Journal of Community Health Nursing, 22(1), 47–60. https://doi.org/10.1207/s15327655jchn2201_5
Harrington, K. F., DiClemente, R. J., Wingood, G. M., Crosby, R. A., Person, S., Oh, M. K., & Hook, E. W. (2001). Validity of self-reported sexually transmitted diseases among African American female adolescents participating in an HIV/STD prevention intervention trial. Sexually Transmitted Diseases, 28(8), 468–471. https://doi.org/10.1097/00007435-200108000-00009
Herlitz, C. A., & Forsberg, M. (2010). Sexual behaviour and risk assessment in different age cohorts in the general population of Sweden (1989–2007). Scandinavian Journal of Public Health, 38(1), 32–39. https://doi.org/10.1177/1403494809355072
Jayawardena, M., Pepping, C. A., Lyons, A., & Hill, A. O. (2021). Geosocial networking application use in men who have sex with men: the role of adult attachment. Sexuality Research and Social Policy. https://doi.org/10.1007/s13178-020-00526-x
Johnson, T., & Fendrich, M. (2005). Modeling sources of self-report bias in a survey of drug use epidemiology. Annals of Epidemiology, 15(5), 381–389. https://doi.org/10.1016/j.annepidem.2004.09.004
Kalichman, S. C., & Cain, D. (2004). The relationship between indicators of sexual compulsivity and high risk sexual practices among men and women receiving services from a sexually transmitted infection clinic. The Journal of Sex Research, 41(3), 235–241. https://doi.org/10.1080/00224490409552231
Kalichman, S. C., Johnson, J. R., Adair, V., Rompa, D., Multhauf, K., & Kelly, J. A. (1994). Sexual sensation seeking: Scale development and predicting aids-risk behavior among homosexually active men. Journal of Personality Assessment, 62(3), 385–397. https://doi.org/10.1207/s15327752jpa6203_1
Kalichman, S. C., & Rompa, D. (1995). Sexual sensation seeking and sexual compulsivity scales: Reliability, validity, and predicting HIV risk behavior. Journal of Personality Assessment, 65(3), 586–601. https://doi.org/10.1207/s15327752jpa6503_16
Kok, G., Harterink, P., Vriens, P., de Zwart, O., & Hospers, H. J. (2006). The gay cruise: Developing a theory- and evidence-based Internet HIV-prevention intervention. Sexuality Research & Social Policy, 3(2), 52. https://doi.org/10.1525/srsp.2006.3.2.52
Landovitz, R. J., Tseng, C. H., Weissman, M., Haymer, M., Mendenhall, B., Rogers, K., & Shoptaw, S. (2012). Epidemiology, risky sexual behavior, and HIV prevention practices of men who have sex with men using GRINDR in Los Angeles, California. Journal of Urban Health, 90(4), 729–739. https://doi.org/10.1007/s11524-012-9766-7
Lehmiller, J. J., & Ioerger, M. (2014). Social networking smartphone applications and sexual health outcomes among men who have sex with men. PLoS One, 9(1). https://doi.org/10.1371/journal.pone.0086603
Mashegoane, S., Moalusi, K. P., Ngoepe, M. A., & Peltzer, K. (2002). Sexual sensation seeking and risky sexual behavior among South African university students. Social Behavior and Personality, 30(5), 475–483. https://doi.org/10.2224/sbp.2002.30.5.475
Oesch, N., & Miklousic, I. (2012). The dating mind: Evolutionary psychology and the emerging science of human courtship. Evolutionary Psychology, 10(5), 147470491201000500. https://doi.org/10.1177/147470491201000511
Owen, J. J., Rhoades, G. K., Stanley, S. M., & Fincham, F. D. (2010). Hooking up among college students: Demographic and psychosocial correlates. Archives of Sexual Behavior, 39(3), 653–663. https://doi.org/10.1007/s10508-008-9414-1
Penke, L., & Asendorpf, J. B. (2008). Beyond global sociosexual orientations: a more differentiated look at sociosexuality and its effects on courtship and romantic relationships. Journal of Personality and Social Psychology, 95(5), 1113–1135. https://doi.org/10.1037/0022-3514.95.5.1113
Reece, M., Herbenick, D., Schick, V., Sanders, S. A., Dodge, B., & Fortenberry, J. D. (2010). Condom use rates in a national probability sample of males and females ages 14 to 94 in the United States. The Journal of Sexual Medicine, 7(Suppl 5), 266–276. https://doi.org/10.1111/j.1743-6109.2010.02017.x
Rice, E. (2012). Sex risk among young men who have sex with men who use Grindr, a smartphone geosocial networking application. Journal of AIDS & Clinical Research, 01(S4). https://doi.org/10.4172/2155-6113.S4-005
Rogge, R. D., Crasta, D., & Legate, N. (2020). Is Tinder-Grindr use risky? Distinguishing venue from individuals’ behavior as unique predictors of sexual risk. Archives of Sexual Behavior, 49(4), 1263–1277. https://doi.org/10.1007/s10508-019-01594-w
Sawyer, A. N., Smith, E. R., & Benotsch, E. G. (2018). Dating application use and sexual risk behavior among young adults. Sexuality Research and Social Policy, 15(2), 183–191. https://doi.org/10.1007/s13178-017-0297-6
Scott-Sheldon, L. A. J., Carey, K. B., & Carey, M. P. (2008). Health behavior and college students: Does Greek affiliation matter? Journal of Behavioral Medicine, 31(1), 61–70. https://doi.org/10.1007/s10865-007-9136-1
Sevi, B., Aral, T., & Eskenazi, T. (2018). Exploring the hookup app: Low sexual disgust and high sociosexuality predict motivation to use Tinder for casual sex. Personality and Individual Differences, 133, 17–20. https://doi.org/10.1016/j.paid.2017.04.053
Simpson, J. A., & Gangestad, S. W. (1991). Individual differences in sociosexuality: Evidence for convergent and discriminant validity. Journal of Personality and Social Psychology, 60(6), 870–883. https://doi.org/10.1037//0022-3514.60.6.870
Sleap, N., Heflin, A., Archuleta, A., & Cook, W. (2012). Organizing community change: STD/HIV awareness in a Greek student body. Journal of Community Engagement and Scholarship. http://jces.ua.edu/organizing-community-change-stdhiv-awareness-in-a-greek-student-body/
Statista. (2018). U.S. online dating site and mobile dating app usage by age 2018. https://www.statista.com/statistics/310344/us-online-dating-app-site-usage-age
Sumter, S. R., Vandenbosch, L., & Ligtenberg, L. (2017). Love me Tinder: Untangling emerging adults’ motivations for using the dating application Tinder. Telematics and Informatics, 34(1), 67–78. https://doi.org/10.1016/j.tele.2016.04.009
Timmermans, E., De Caluwé, E., & Alexopoulos, C. (2018). Why are you cheating on Tinder? Exploring users’ motives and (dark) personality traits. Computers in Human Behavior, 89, 129–139. https://doi.org/10.1016/j.chb.2018.07.040
Tomaszewska, P., & Schuster, I. (2020). Comparing sexuality-related cognitions, sexual behavior, and acceptance of sexual coercion in dating app users and non-users. Sexuality Research and Social Policy, 17(2), 188–198. https://doi.org/10.1007/s13178-019-00397-x
Tsai, J. Y., Sussman, S., Pickering, T. A., & Rohrbach, L. A. (2019). Is online partner-seeking associated with increased risk of condomless sex and sexually transmitted infections among individuals who engage in heterosexual sex? A systematic narrative review. Archives of Sexual Behavior, 48(2), 533–555. https://doi.org/10.1007/s10508-018-1235-2
Turban, J. L., Passell, E., Scheuer, L., & Germine, L. (2020). Use of geosocial networking applications is associated with compulsive sexual behavior disorder in an online sample. The Journal of Sexual Medicine, 17(8), 1574–1578. https://doi.org/10.1016/j.jsxm.2020.03.020
Vrangalova, Z., & Ong, A. D. (2014). Who benefits from casual sex? The moderating role of sociosexuality. Social Psychological and Personality Science, 5(8), 883–891. https://doi.org/10.1177/1948550614537308
Wang, H., Zhang, L., Zhou, Y., Wang, K., Zhang, X., Wu, J., & Wang, G. (2018). The use of geosocial networking smartphone applications and the risk of sexually transmitted infections among men who have sex with men: a systematic review and meta-analysis. BMC Public Health, 18(1), 1178. https://doi.org/10.1186/s12889-018-6092-3
Wombacher, K., Dai, M., Matig, J. J., & Harrington, N. G. (2018). Using the integrative model of behavioral prediction to understand college students’ STI testing beliefs, intentions, and behaviors. Journal of American College Health, 66(7), 674–682. https://doi.org/10.1080/07448481.2018.1454928
Zheng, L., & Zheng, Y. (2014). Online sexual activity in Mainland China: Relationship to sexual sensation seeking and sociosexuality. Computers in Human Behavior, 36(c), 323–329. https://doi.org/10.1016/j.chb.2014.03.062
Zou, H., & Fan, S. (2017). Characteristics of men who have sex with men who use smartphone geosocial networking applications and implications for HIV interventions: a systematic review and meta-analysis. Archives of Sexual Behavior, 46(4), 885–894. https://doi.org/10.1007/s10508-016-0709-3
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Dai, M. The Demographic and Psychological Moderators to the Associations Between Geosocial Networking Apps (GSNA) Use and Risky Sexual Behaviors Among US Young Adults. Sex Res Soc Policy 20, 664–675 (2023). https://doi.org/10.1007/s13178-022-00706-x
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DOI: https://doi.org/10.1007/s13178-022-00706-x