Impact of the use of sexual material and online sexual activity during preventive social isolation due to COVID-19
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Abstract
Objective. To quantify the impact on the use and type of online sexual material and to determine the predictors of online sexual activity in people in preventive social isolation due to COVID-19.
Method. Multivariate cross-sectional study; 385 participants were studied and contacted through an online survey.
Results. Internet pages and social networks are the main platforms for the use of online sexual material, and its consumption was more frequent in those who had more days of preventive social isolation. Predictors of sexual activity were cybersex (β = .38), excitation (β = .36), masturbation (β = .34), and adventure (β = .33), which were found to be statistically significant (p ˂ .001).
Discussion and conclusion. Privacy plays an important role in the use of online sexual material and activities, and greater consumption can be found in intimacy. It is important to be alert to the effects of the pandemic on sexual risk behavior and further research is needed.
References
Asociación Mexicana de Internet [AMIPCI]. (2016). 12ª Estudio sobre los Hábitos de los Usuarios de Internet en México 2016 (pp. 1-5). Retrieved from https://www.asociaciondeinternet.mx/estudios/habitos-de-internet
Bandura, A. (2011). The social and policy impact of social cognitive theory. In M. Mark, S. Donaldson, & B. Campbell (Eds.). Social psychology and evaluation (pp. 33-70). New York, NY: Guilford Press.
Benavides, R. A., Valdez Moreno, C., González, V. M., & Onofre Rodríguez, D. J. (2012). Use of Sexual Material Online and At-Risk Sexual Behavior Regarding HIV/AIDS among College Students. In NI 2012: 11th International Congress on Nursing Informatics, June 23-27, 2012, Montreal, Canada. (Vol. 2012). American Medical Informatics Association.
Bontempi, J. B., Mugno, R., Bulmer, S. M., Danvers, K., & Vancour, M. L. (2009). Exploring gender differences in the relationship between HIV/STD testing and condom use among undergraduate college students. American Journal of Health Education, 40(2), 97-105. doi: 10.1080/19325037.2009.10599084
Castillo-Arcos, L., Benavides-Torres, R. A., & López-Rosales, F. (2012). Intervención por Internet para Reducir Conductas Sexuales de Riesgo para VIH/SIDA: Una Propuesta Innovadora. Desarrollo Científico de Enfermería, 20(8), 266-270. Retrieved from http://www.index-f.com/dce/20pdf/20-266.pdf
Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. New York, NY: Academic Press.
Eversole, J. S., Berglas, N. F., Deardorff, J., & Constantine, N. A. (2017). Source of Sex Information and Condom Use Intention Among Latino Adolescents. Health Education & Behavior, 44(3), 439-447. doi: 10.1177/1090198116671704
Fernández Velasco,V. (2018). Influencia de internet en la educación sexual de los adolescentes y el papel de enfermería. Universidad Complutense Madrid. Retrieved from https://eprints.ucm.es/51624/
Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. New York, NY: Taylor & Francis.
Folch, C., Álvarez, J. L., Casabona, J., Brotons, M., & Castellsagué, X. (2015). Determinantes de las conductas sexuales de riesgo en jovenes de Cataluña. Revista Española de Salud Pública, 89(5), 471-485. doi: 10.4321/s1135-57272015000500005
García-Vega, E., Menéndez, E., Fernández, P., & Cuesta, M. (2012). Sexualidad, Anticoncepción y Conducta Sexual de Riesgo en Adolescentes. International Journal of Psychological Research, 5(1) 79-87.
Glanz, K., Rimer, B. K., & Viswanath, K. (Eds.). (2008). Health behavior and health education: theory, research, and practice. San Francisco, CA: John Wiley & Sons, Inc.
Grove, S. K., Burns, N., & Gray, J. (2013). The Practice of Nursing Research: Appraisal, Synthesis, And Generation of Evidence. St. Louis, Missouri: Elsevier Health Sciences.
Hald, G. M., Kuyper, L., Adam, P. C. G., & de Wit, J. B. F. (2013). Does Viewing Explain Doing? Assessing the Association Between Sexually Explicit Materials Use and Sexual Behaviors in a Large Sample of Dutch Adolescents and Young Adults. The Journal of Sexual Medicine, 10(12), 2986-2995. doi: 10.1111/jms.12157
Hernández Torres, J. L., Benavides Torres, R. A., González y González, V., & Onofre Rodríguez, D. J. (2019). Prototipo móvil para fomentar el uso de condón en jóvenes mexicanos: un estudio de caso. Revista Cubana de Informática Médica, 11(2), 65-79.
Hernández Torres, J. L., Benavides Torres, R. A., Onofre Rodríguez, D. J., & Jiménez Vázquez, V. (2018). Valoración cualitativa de cuidado en jóvenes mexicanos con riesgo de VIH/Sida. Revista Científica de Enfermería, 15, 5-18. doi: 10.14198/recien.2018.15.02
Ibarra, F. P., Mehrad, M., Di Mauro, M., Godoy, M. F. P., Cruz, E. G., Nilforoushzadeh, M. A., & Russo, G. I. (2020). Impact of the COVID-19 pandemic on the sexual behavior of the population. The vision of the east and the west. International Braz J Urol, 46(Suppl. 1), 104-112. doi: 10.1590/s1677-5538.ibju.2020.s116
Koletić, G., Štulhofer, A., Tomić, I., & Knežević Ćuća, J. (2019). Associations between Croatian adolescents’ use of sexually explicit material and risky sexual behavior: A latent growth curve modeling approach. International Journal of Sexual Health, 31(1) 77-91. doi: 10.1080/19317611.2019.1567640
Miles, M. B., Huberman, A. M., & Saldana. J. (2013). Qualitative data analysis. A Methods Sourcebook. Sage publications.
Organización de Estados Iberoamericanos [OEI]. (2016). Cibersexo: Encuesta 2016 para conocer la conducta sexual del mexicano en internet. Retrieved from https://www.oei.es/historico/divulgacioncientifica/?Cibersexo-Encuesta-2016-para-conocer-la-conducta-sexual-del-mexicano-en
Prochaska, J. O., Velicer, W. F., Rossi, J. S., Goldstein, M. G., Marcus, B. H., Rakowski, W., … Rossi, S. R. (1994). Stages of change and decisional balance for 12 problem behaviors. Health Psychology, 13(1) 39-46. doi: 10.1037/0278-6133.13.1.39
Secretaría de Salud [SSA]. (1987). Reglamento de Ley General de Salud en Materia de Investigación para la Salud. Diario Oficial. Retrieved from http://www.salud.gob.mx/unidades/cdi/nom/compi/rlgsmis.html
Shallo, S. A., & Mengesha, W. W. (2019). Exposure to Sexually Explicit Materials and Its Association with Sexual Behaviors of Ambo University Undergraduate Students, 2018. Ethiopian Journal of Health Sciences, 29(4), 461-470. doi: 10.4314/ejhs.v29i4.7
Subía-Arellano, A., Muñoz, N., & Navarrete, A. (2020). Comportamiento sexual y aislamiento social a causa del COVID-19. CienciAmérica, 9(2), 256-260. doi: 10.33210/ca.v9i2.315
Uzieblo, K., & Prescott, D. (2020). Online pornography use during the COVID-19 pandemic: Should we worry? Part I. Sexual Abuse-blogspot, 1-3.
Valdez Montero, C. (2011). Uso De Material Sexual En Linea Y Conducta Sexual De Riesgo para VIH/SIDA en jovenes universitarios. (Doctoral dissertation). Universidad Autónoma de Nuevo León. Retrieved from http://eprints.uanl.mx/2901/1/1080211210.pdf
Valdez Montero, C. M., Benavides Torres, R. A., González y González, V., Onofre Rodríguez, D. J., & Castillo Arcos, L. (2015). Internet and sexual risk behavior for HIV/AIDS in young people. Enfermería Global, 14(38), 151-159. Retrieved from http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1695-61412015000200008&lang=pt
World Health Organization [WHO]. (2019). Situación de COVID-19 en la Región de las Américas. Rerieved from https://www.paho.org/es/temas/coronavirus/brote-enfermedad-por-coronavirus-COVID-19
Yzer, M. C. (2012). The integrative model of behavioral prediction as a tool for designing health messages: Yheory and practise. In Cho, H. (Ed.). (2011). Designing Messages for Health communication: Theory and Practice. Sage Publications, Thousand Oaks, CA. Retrieved from https://experts.umn.edu/en/publications/the-integrated-model-of-behavioral-prediction-as-a-tool-for-desig
