TY - JOUR
T1 - Understanding and predicting classes of college students who use pornography
AU - Brown, Cameron C.
AU - Durtschi, Jared A.
AU - Carroll, Jason S.
AU - Willoughby, Brian J.
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Despite the widespread acceptance and use of pornography, much remains unknown about the heterogeneity among consumers of pornography. Using a sample of 457 college students from a mid-western university in the United States, a latent profile analysis was conducted to identify unique classifications of pornography users considering motivations of pornography use, level of pornography use, age of user, degree of pornography acceptance, and religiosity. Results indicated three classes of pornography users: Porn Abstainers (n = 285), Auto-Erotic Porn Users (n = 85), and Complex Porn Users (n = 87). These three classes of pornography use are carefully defined. The odds of membership in these three unique classes of pornography users was significantly distinguished by relationship status, self-esteem, and gender. These results expand what is known about pornography users by providing a more person-centered approach that is more nuanced in understanding pornography use. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
AB - Despite the widespread acceptance and use of pornography, much remains unknown about the heterogeneity among consumers of pornography. Using a sample of 457 college students from a mid-western university in the United States, a latent profile analysis was conducted to identify unique classifications of pornography users considering motivations of pornography use, level of pornography use, age of user, degree of pornography acceptance, and religiosity. Results indicated three classes of pornography users: Porn Abstainers (n = 285), Auto-Erotic Porn Users (n = 85), and Complex Porn Users (n = 87). These three classes of pornography use are carefully defined. The odds of membership in these three unique classes of pornography users was significantly distinguished by relationship status, self-esteem, and gender. These results expand what is known about pornography users by providing a more person-centered approach that is more nuanced in understanding pornography use. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
KW - Erotica
KW - Pornography
KW - Quantitative
KW - Sex
UR - http://www.scopus.com/inward/record.url?scp=84988667066&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2016.09.008
DO - 10.1016/j.chb.2016.09.008
M3 - Article
AN - SCOPUS:84988667066
SN - 0747-5632
VL - 66
SP - 114
EP - 121
JO - Computers in Human Behavior
JF - Computers in Human Behavior
ER -