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Sexting Behaviors Exhibited by Men Who Have Sex with Men Between the Ages of 18-70 Who Live in a Socially Conservative State.
- Source :
-
Cyberpsychology, behavior and social networking [Cyberpsychol Behav Soc Netw] 2017 Jul; Vol. 20 (7), pp. 413-418. - Publication Year :
- 2017
-
Abstract
- Sexting, defined as the sending and receiving of sexually suggestive or sexually explicit text or photos, has been growing in prevalence. Recent studies have demonstrated that over half of individuals sampled over 17 and regardless of gender participate in some type of sexting behavior. Most studies on sexting behaviors, including those looking at men who have sex with men (MSM) focus on emerging adult or university-based populations. The goal of the current study was to sample a nonuniversity-based MSM adult population to determine the prevalence of sexting behavior and the odds that a person engages in sexting behaviors based on certain sexual behaviors. The sample consisted of 213 MSM (mean age = 34.8 years, standard deviation [STD] = 12.1) who reside in Oklahoma. The majority of participants (133, 62.4 percent) participated in sexting behaviors. Logistic regression indicated that individuals had 10 times higher odds to engage in sexting if they had participated in a hookup (odds ratio [OR] = 10.44, 95% CI = [4.16-26.25]) and individuals who are married or in a committed relationship had 71 percent lower odds that they had sent a sext message (OR = 0.29, 95% CI = [0.12-0.71]). Sexting behaviors were not associated with condom use. Implications, including using third-party geolocation mobile application (such as Grindr) to deliver sexual health information, are discussed.
- Subjects :
- Adult
Aged
Humans
Logistic Models
Male
Marriage psychology
Marriage statistics & numerical data
Middle Aged
Oklahoma epidemiology
Prevalence
Sexual Behavior psychology
Young Adult
Sexual Behavior statistics & numerical data
Sexual and Gender Minorities psychology
Text Messaging statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 2152-2723
- Volume :
- 20
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Cyberpsychology, behavior and social networking
- Publication Type :
- Academic Journal
- Accession number :
- 28715262
- Full Text :
- https://doi.org/10.1089/cyber.2017.0050