TY - JOUR
T1 - Patterns of sexting and sexual behaviors in youth
T2 - A Latent Class Analysis
AU - Mori, Camille
AU - Choi, Hye Jeong
AU - Temple, Jeff R.
AU - Madigan, Sheri
N1 - Funding Information:
This work was supported by the National Institute of Justice [Grant/Award Number: 2012-WG-BX-0005 ]; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development [Grant/Award Number: K23HD059916 ]. Dr. Madigan receives funding support from the Canada Research Chairs program . The authors confirm no other significant contributors to this work. The authors have no financial relationships or conflicts of interest relevant to this article to disclose.
Publisher Copyright:
© 2021 The Foundation for Professionals in Services for Adolescents
PY - 2021/4
Y1 - 2021/4
N2 - Introduction: A sizable minority of youth are sexting; however there are likely large individual differences in sexting and sexual behaviors, yet to be captured. A Latent Class Analysis was used to identify subgroups of youth characterized by differential engagement in sexting and sexual behaviors. Methods: Participants were an ethnically diverse sample of 894 youth (55.8% female; Mage = 17.04, SD = 0.77) from a longitudinal survey study in southeast Texas. Latent classes were identified through participants’ responses to the following indicator variables: sending, receiving, and requesting sexts, sexual activity, contraception use, ≥ three partners, and substance use prior to sexual activity. Gender, ethnicity, impulsivity, and living situation were analyzed as predictors, and depressive symptoms as an outcome, of class membership. Results: The analysis revealed four distinct classes: No sexting-Low sex (42.2%), Sexting-Low sex (4.5%), No sexting-Moderately risky sex (28.3%), and Sexting-Moderately risky sex (24.9%). Gender and ethnicity predicted class membership wherein females and ethnic minority youth were less likely to be in groups displaying higher rates of sexting. Impulsivity and living situation predicted class membership, such that youth reporting higher impulsivity and living in a situation other than with two biological parents were less likely to be in classes displaying low sexting and sexual behaviors. Group membership predicted depressive symptoms. Conclusions: Results suggest that not all youth who are sexting are having sex, and not all youth who are having sex are sexting. Evidence of individual differences in youth sexual behaviors should inform educational initiatives aimed at teaching youth about sexual and online health.
AB - Introduction: A sizable minority of youth are sexting; however there are likely large individual differences in sexting and sexual behaviors, yet to be captured. A Latent Class Analysis was used to identify subgroups of youth characterized by differential engagement in sexting and sexual behaviors. Methods: Participants were an ethnically diverse sample of 894 youth (55.8% female; Mage = 17.04, SD = 0.77) from a longitudinal survey study in southeast Texas. Latent classes were identified through participants’ responses to the following indicator variables: sending, receiving, and requesting sexts, sexual activity, contraception use, ≥ three partners, and substance use prior to sexual activity. Gender, ethnicity, impulsivity, and living situation were analyzed as predictors, and depressive symptoms as an outcome, of class membership. Results: The analysis revealed four distinct classes: No sexting-Low sex (42.2%), Sexting-Low sex (4.5%), No sexting-Moderately risky sex (28.3%), and Sexting-Moderately risky sex (24.9%). Gender and ethnicity predicted class membership wherein females and ethnic minority youth were less likely to be in groups displaying higher rates of sexting. Impulsivity and living situation predicted class membership, such that youth reporting higher impulsivity and living in a situation other than with two biological parents were less likely to be in classes displaying low sexting and sexual behaviors. Group membership predicted depressive symptoms. Conclusions: Results suggest that not all youth who are sexting are having sex, and not all youth who are having sex are sexting. Evidence of individual differences in youth sexual behaviors should inform educational initiatives aimed at teaching youth about sexual and online health.
KW - Adolescence
KW - Depressive symptoms
KW - Latent class analysis
KW - Sexting
KW - Sexual behaviors
KW - Substance use
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U2 - 10.1016/j.adolescence.2021.01.010
DO - 10.1016/j.adolescence.2021.01.010
M3 - Article
C2 - 33684725
AN - SCOPUS:85102080455
SN - 0140-1971
VL - 88
SP - 97
EP - 106
JO - Journal of Adolescence
JF - Journal of Adolescence
ER -