The Nature and Extent of Sexting Among a National Sample of Middle and High School Students in the U.S.


Journal

Archives of sexual behavior
ISSN: 1573-2800
Titre abrégé: Arch Sex Behav
Pays: United States
ID NLM: 1273516

Informations de publication

Date de publication:
11 2019
Historique:
received: 31 07 2017
accepted: 02 04 2019
revised: 01 04 2019
pubmed: 17 7 2019
medline: 22 4 2020
entrez: 17 7 2019
Statut: ppublish

Résumé

Sexting is the sending or receiving of sexually explicit or sexually suggestive images or video, usually via mobile devices. Despite widespread public concern about these behaviors as they occur among adolescents, including potentially serious legal consequences, relatively little research has been done to estimate the frequency of sexting among middle and high school students. The current study contributes to this scant body of knowledge by reporting prevalence rates for sending and receiving sexually explicit images or video among a nationally representative sample of 5593 American middle and high school students. Overall, approximately 13% of students reported that they had sent a sext, while 18.5% had received a sext. About one-third of those who sext had done it just one time. Rates of asking for, being asked for, and sharing of sexts are also presented, and are broken down further by gender, sexual orientation, race, and age. Implications for preventing sexting behaviors with these results in mind are also discussed.

Identifiants

pubmed: 31309428
doi: 10.1007/s10508-019-1449-y
pii: 10.1007/s10508-019-1449-y
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2333-2343

Subventions

Organisme : Digital Trust Foundation
ID : 31-1
Pays : International

Auteurs

Justin W Patchin (JW)

Department of Political Science, University of Wisconsin-Eau Claire, Eau Claire, WI, 54701, USA. patchinj@uwec.edu.

Sameer Hinduja (S)

School of Criminology and Criminal Justice, Florida Atlantic University, Jupiter, FL, USA.

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Classifications MeSH