Estimating the longitudinal association between adolescent sexual behavior and exposure to sexual media content
- PMID: 19382030
- PMCID: PMC2783973
- DOI: 10.1080/00224490902898736
Estimating the longitudinal association between adolescent sexual behavior and exposure to sexual media content
Abstract
The purpose of this study is to estimate the association between adolescent sexual behavior and exposure to sexual media content. A three-wave, longitudinal survey sample (N = 506) of 14- to 16-year-olds at baseline is analyzed using growth curves. Growth trajectories are linear for sexual behavior but not for exposure to sexual media content. The signs of the exposure slopes are not uniformly positive: Hispanic and African American respondents show declines of exposure to sexual media content over the age range investigated here. Although changes in exposure to sex content are highly associated with changes in sexual behavior among Whites, there is little or no association between changes in these variables among Blacks.
Figures
Similar articles
-
Exposure to degrading versus nondegrading music lyrics and sexual behavior among youth.Pediatrics. 2006 Aug;118(2):e430-41. doi: 10.1542/peds.2006-0131. Pediatrics. 2006. PMID: 16882784
-
Sexy media matter: exposure to sexual content in music, movies, television, and magazines predicts black and white adolescents' sexual behavior.Pediatrics. 2006 Apr;117(4):1018-27. doi: 10.1542/peds.2005-1406. Pediatrics. 2006. PMID: 16585295
-
The Relationship Between Sexual Content on Mass Media and Social Media: A Longitudinal Study.Cyberpsychol Behav Soc Netw. 2015 Dec;18(12):697-703. doi: 10.1089/cyber.2015.0197. Epub 2015 Nov 20. Cyberpsychol Behav Soc Netw. 2015. PMID: 26588715
-
Gender and ethnic differences in the timing of first sexual intercourse.Fam Plann Perspect. 1998 May-Jun;30(3):121-7. Fam Plann Perspect. 1998. PMID: 9635260
-
Contributions of Mainstream Sexual Media Exposure to Sexual Attitudes, Perceived Peer Norms, and Sexual Behavior: A Meta-Analysis.J Adolesc Health. 2019 Apr;64(4):430-436. doi: 10.1016/j.jadohealth.2018.11.016. Epub 2019 Jan 26. J Adolesc Health. 2019. PMID: 30691937 Review.
Cited by
-
Pornography Use Profiles and the Emergence of Sexual Behaviors in Adolescence.Arch Sex Behav. 2022 Feb;51(2):1141-1156. doi: 10.1007/s10508-021-02140-3. Epub 2021 Nov 22. Arch Sex Behav. 2022. PMID: 34811657 Free PMC article.
-
Differences in the Portrayal of Health Risk Behaviors by Black and White Characters in Popular Films.J Health Commun. 2017 Jun;22(6):451-458. doi: 10.1080/10810730.2017.1290165. Epub 2017 May 8. J Health Commun. 2017. PMID: 28481166 Free PMC article.
-
"A man's gonna do what a man wants to do": African American and Hispanic women's perceptions about heterosexual relationships: a qualitative study.BMC Womens Health. 2013 May 24;13:27. doi: 10.1186/1472-6874-13-27. BMC Womens Health. 2013. PMID: 23705954 Free PMC article.
-
Do you see what I see? A character analysis of health risk behaviors in television shows popular with Black adolescents in the US.J Child Media. 2018;12(4):478-495. doi: 10.1080/17482798.2018.1487310. Epub 2018 Jul 9. J Child Media. 2018. PMID: 30643541 Free PMC article.
-
A model of adolescents' seeking of sexual content in their media choices.J Sex Res. 2011 Jul;48(4):309-15. doi: 10.1080/00224499.2010.497985. J Sex Res. 2011. PMID: 20672214 Free PMC article.
References
-
- Ajzen I, Albarracín D. Predicting and changing behavior: a reasoned action approach. In: Ajzen I, Albarracín D, Hornik R, editors. Prediction and Change of Health Behavior. Lawrence Erlbaum; Mahwah: 2007. pp. 1–22.
-
- Ashby S, Arcari C, Edmonson B. Television viewing and risk of sexual initiation by young adolescents. Archives of Pediatric and Adolescent Medicine. 2006;160:375–380. - PubMed
-
- Aubrey J, Harrison K, Kramer L, Yellin J. Variety versus timing: gender differences in college students’ sexual expectations as predicted by exposure to sexually oriented television. Communication Research. 2003;30:432–460.
-
- Barnes G, Reifman A, Farrell M, Dintcheff B. The effects of parenting on the development of adolescent alcohol misuse: A six-wave latent growth model. Journal of Marriage and the Family. 2000;62:175–186.
-
- Biesanz J, Deeb-Sossa N, Papadakis A, Bollen K, Curran P. The role of coding time in estimating and interpreting growth curve models. Psychological Methods. 2004;9:30–52. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical