J
2018
Sexting as a predictor of sexual behavior in a sample of Czech adolescents
ŠEVČÍKOVÁ, Anna, Lukas BLINKA and Kristian DANEBACK
Basic information
Original name
Sexting as a predictor of sexual behavior in a sample of Czech adolescents
Authors
ŠEVČÍKOVÁ, Anna (203 Czech Republic, guarantor, belonging to the institution),
Lukas BLINKA (203 Czech Republic, belonging to the institution) and Kristian DANEBACK (752 Sweden)
Edition
European Journal of Developmental Psychology, Abingdon, Routledge, 2018, 1740-5629
Other information
Type of outcome
Článek v odborném periodiku
Field of Study
50100 5.1 Psychology and cognitive sciences
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 1.667
RIV identification code
RIV/00216224:14230/18:00100702
Organization unit
Faculty of Social Studies
Keywords in English
Adolescence; online sexual behavior; longitudinal; sexual development
Tags
International impact, Reviewed
V originále
The purpose of this longitudinal study is to examine the relationship between teen sexting and offline sexual behavior. Using a sample of 1134 Czech adolescents aged 10–18 (Mage = 13.84, SD = 1.94, girls = 58.8%) from 55 schools, the latent growth model of offline sexual behavior with sexting as a time-varying covariate was employed. Participants differed at baseline for offline sexual behavior at both individual and school levels, and they varied in the growth rate of offline sexual behavior at the individual level. Only age and sensation seeking explained the variability at baseline of offline sexual behavior. The positive association between sexting and offline sexual behavior was not constant across time. However, sexting at baseline predicted offline sexual behavior a half year and one year later. Sexting may be treated as a precursor of offline sexual behavior.
Links
GA15-19221S, research and development project | Name: Nové behaviorální závislosti: hry a sexualita online (Acronym: NOBEZ) | Investor: Czech Science Foundation |
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