A Multidisciplinary Approach to Sexual Behavior Profiles: The SEX360 Model
The diversity of sexual behaviors is driven by multiple determinants, including physiological, cultural, educational, and sociological factors. However, the definition of sexual behavior profiles has been barely addressed from a comprehensive point of view. We aimed to develop a multidisciplinary questionnaire for defining individual sexual behavior profiles. The questionnaire was developed by a panel of experts with research experience in the fields of urology, gynecology, psychology, anthropology, and sexology. The list of items was defined in a focus group session and was based on four categories—family-oriented, loving, recreational, and functional—resulting from the combination of two axes: traditional versus non-traditional and sexual benefit versus extra-sexual benefit. Real-time Delphi dynamics was used to assign a weight to each question and a bias to the corresponding responses. The final questionnaire included 50 items considered relevant for describing sexual profiles; the final questionnaire was named SEX360. Of the 50 items included in SEX360, 14 were considered essential for computing the final score; 9 of them were associated with 2 categories, 4 of them with 4 categories, and 1 of them with 3. Nine items referred to the category “family-oriented”, 10 to “loving”, 8 to “recreational”, and 9 to “functional”. The weights assigned to each question ranged from 3.00 to 4.33, and the centers of gravity ranged from 1 to 4. The questionnaire proposed shows the existence of a vast diversity of sexual behavior profiles and may serve as a tool for sexual behavior research.
KeywordsSexual behavior Sexology Anthropology Psychosexual development
The authors would like to thank the whole team of i2e3 Research Institute for providing medical writing assistance during the preparation of this manuscript.
Compliance with Ethical Standards
Conflicts of interest
E. García, J. M. Monguet, M. F. Peraza, M. González, D. Marre, C. Sánchez, C. Suso, A. Trejo, and A. Alcaraz declare that they have no conflicts of interest regarding the content of this manuscript.
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Human and Animal Rights
This article does not contain any studies with human participants or animals performed by any of the authors.
- Green, K. C., Armstrong, J. S., & Graefe, A. (2007). Methods to elicit forecasts from groups: Delphi and prediction markets compared. Foresight: The International Journal of Applied Forecasting (forthcoming), Munich Personal RePEc Archive. MPRA Paper, 4663.Google Scholar
- Hayes, R. D., Dennerstein, L., Bennett, C. M., et al. (2008). Risk factors for female sexual dysfunction in the general population: Exploring factors associated with low sexual function and sexual distress. The Journal of Sexual Medicine, 5, 1681–1693. doi:10.1111/j.1743-6109.2008.00838.x.CrossRefGoogle Scholar
- Johnson, A. M., Wadsworth, J., Wellings, K., & Field, J. (1994). Sexual attitudes and lifestyles. Oxford: Blackwell Scientific Publications.Google Scholar
- Masters, W. H., Johnson, V. E., & Kolodny, R. C. (1995). Human sexuality. New York: Harper Collins College Publishers.Google Scholar
- Masters, W. H., & Masters, V. J. (1980). Human sexual inadequacy. New York: Bantam Books.Google Scholar
- Melnik, T., Abdo, C. H. N., de Moraes, J. F., & Riera, R. (2012). Satisfaction with the treatment, confidence and “naturalness” in engaging in sexual activity in men with psychogenic erectile dysfunction: Preliminary results of a randomized controlled trial of three therapeutic approaches. BJU International, 109, 1213–1219. doi:10.1111/j.1464-410X.2011.10516.x.CrossRefGoogle Scholar
- Monguet, J. M., Trejo, A., Martí, T., et al. (2016). Assessment of chronic health care through an internet consensus tool. In Handbook of research on trends in the diagnosis and treatment of chronic conditions (pp. 424–443). IGI Global Publisher.Google Scholar
- Rowe, G., & Wright, G. (2001). Expert opinions in forecasting: The role of the Delphi technique. In Principles of forecasting (pp. 125–144). Springer US. https://www.gwern.net/docs/predictions/2001-rowe.pdf.