Due to the widespread popularity of pornography, some studies explored which individual factors are associated with the frequency of pornography use. However, knowledge about the relationship between socioecological environment and pornography consumption remains scant. Based on life history theory, the current research investigated the association between state-level mortality and search interest for pornography using Google trends. We observed that, in the U.S., the higher mortality or violent crime rate in a state, the stronger search interest for pornography on Google. The results expand the literature regarding the relationship between socioecological environment and individuals’ online sexual behavior at the state level.
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Albright, J. M. (2008). Sex in America online: An exploration of sex, marital status, and sexual identity in internet sex seeking and its impacts. Journal of Sex Research, 45(2), 175–186.
American Community Survey. (2013–2017). Demographic and housing estimates, sex ratio. Retrieved July 15, 2019 from https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml.
Buzzell, T. (2005). Demographic characteristics of persons using pornography in three technological contexts. Sexuality and Culture, 9(1), 28–48.
Cameron, N. M., Champagne, F. A., Parent, C., Fish, E. W., Ozaki-Kuroda, K., & Meaney, M. J. (2005). The programming of individual differences in defensive responses and reproductive strategies in the rat through variations in maternal care. Neuroscience and Biobehavioral Reviews, 29(4–5), 843–865.
Chisholm, J. S. (1993). Death, hope, and sex: Life-history theory and the development of reproductive strategies. Current Anthropology, 34, 1–24.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Cooper, A., Galbreath, N., & Becker, M. A. (2004). Sex on the internet: Furthering our understanding of men with online sexual problems. Psychology of Addictive Behaviors, 18(3), 223–230.
Cooper, A., Morahan-Martin, J., Mathy, R. M., & Maheu, M. (2002). Toward an increased understanding of user demographics in online sexual activities. Journal of Sex and Marital Therapy, 28(2), 105–129.
Dinh, T., Pinsof, D., Gangestad, S. W., & Haselton, M. G. (2017). Cycling on the fast track: Ovulatory shifts in sexual motivation as a proximate mechanism for regulating life history strategies. Evolution and Human Behavior, 38(6), 685–694.
Dunkel, C. S., Mathes, E., & Decker, M. (2010). Behavioral flexibility in life history strategies: The role of life expectancy. Journal of Social, Evolutionary and Cultural Psychology, 4, 51–61.
Dunkel, C. S., Summerville, L. A., Mathes, E. W., & Kesserling, S. N. (2015). Using the California Q-sort measure of life history strategy to predict sexual behavioral outcomes. Archives of Sexual Behavior, 44(6), 1705–1711.
Ellis, B. J. (2004). Timing of pubertal maturation in girls: An integrated life history approach. Psychological Bulletin, 130(6), 920–958.
Ellis, B. J., Figueredo, A. J., Brumbach, B. H., & Schlomer, G. L. (2009). Fundamental dimensions of environmental risk: The impact of harsh versus unpredictable environments on the evolution and development of life history strategies. Human Nature, 20(2), 204–268.
Ellis, B. J., & Symons, D. (1990). Sex differences in sexual fantasy: An evolutionary psychological approach. Journal of Sex Research, 27(4), 527–555.
Fernandes, H. B. F., Menie, M. A. W. O., Hutz, C. S., Kruger, D. J., & Figueredo, A. J. (2016). The strength of associations among sexual strategy traits: Variations as a function of life history speed. Personality and Individual Differences, 98, 275–283.
Fisher, W. A., & Barak, A. (2001). Internet pornography: A social psychological perspective on internet sexuality. Journal of Sex Research, 38(4), 312–323.
Gangestad, S. W., & Simpson, J. A. (2000). The evolution of human mating: Trade-offs and strategic pluralism. Behavioral and Brain Sciences, 23(4), 573–587.
Goodson, P., McCormick, D., & Evans, A. (2000). Sex on the internet: College students’ emotional arousal when viewing sexually explicit materials on-line. Journal of Sex Education and Therapy, 25(4), 252–260.
Griskevicius, V., Delton, A. W., Robertson, T. E., & Tybur, J. M. (2011). Environmental contingency in life history strategies: The influence of mortality and socioeconomic status on reproductive timing. Journal of Personality and Social Psychology, 100(2), 241–254.
Hill, K. (1993). Life history theory and evolutionary anthropology. Evolutionary Anthropology, 2, 78–88.
Hochstotter, N., & Koch, M. (2008). Standard parameters for searching behavior in search engines and their empirical evaluation. Journal of Information Science, 35(1), 45–65.
Kaplan, H., Hill, K., Lancaster, J., & Hurtado, A. M. (2000). A theory of human life history evolution: Diet, intelligence, and longevity. Evolutionary Anthropology, 9(4), 156–185.
Kochanek, K. D., Murphy, S. L., Xu, J. Q., & Arias, E. (2019). Deaths: Final data for 2017 (National Vital Statistics Reports Volume 68, Number 9). Centers for Disease Control and Prevention. Retrieved July 15, 2019 from https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.
Kochanek, K. D., Murphy, S. L., Xu, J. Q., & Tejada-Vera, B. (2016). Deaths: Final data for 2014 (National Vital Statistics Reports Volume 65, Number 4). Centers for Disease Control and Prevention. Retrieved July 15, 2019 from https://www.cdc.gov/nchs/data/nvsr/nvsr65/nvsr65_04.pdf.
MacInnis, C. C., & Hodson, G. (2015). Do American states with more religious or conservative populations search more for sexual content on Google? Archives of Sexual Behavior, 44(1), 137–147.
Malamuth, N. M. (1996). Sexually explicit media, gender differences, and evolutionary theory. Journal of Communication, 46(3), 8–31.
Markey, P. M., & Markey, C. N. (2010). Changes in pornography-seeking behaviors following political elections: An examination of the challenge hypothesis. Evolution and Human Behavior, 31(6), 442–446.
Markey, P. M., & Markey, C. N. (2013). Seasonal variation in internet keyword searches: A proxy assessment of sex mating behaviors. Archives of Sexual Behavior, 42(4), 515–521.
Murphy, S. L., Xu, J. Q., Kochanek, K. D., Curtin, S. C., & Arias, E. (2017). Deaths: Final data for 2015 (National Vital Statistics Reports Volume 66, Number 6). Centers for Disease Control and Prevention. Retrieved July 15, 2019 from https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.
Olderbak, S., & Figueredo, A. J. (2009). Predicting romantic relationship satisfaction from life history strategy. Personality and Individual Differences, 46, 604–610.
Patch, E. A., & Figueredo, A. J. (2016). Childhood stress, life history, psychopathy, and sociosexuality. Personality and Individual Differences, 115, 108–113.
Paul, B., & Shim, J. W. (2008). Gender, sexual affect, and motivations for Internet pornography use. International Journal of Sexual Health, 20(3), 187–199.
Peter, J., & Valkenburg, P. M. (2006). Adolescents’ exposure to sexually explicit material on the internet. Communication Research, 33(2), 178–204.
Peter, J., & Valkenburg, P. M. (2011). The influence of sexually explicit internet material on sexual risk behavior: A comparison of adolescents and adults. Journal of Health Communication, 16(7), 750–765.
Salmon, C. (2012). The pop culture of sex: An evolutionary window on the worlds of pornography and romance. Review of General Psychology, 16(2), 152–160.
Scheitle, C. P. (2011). Google’s insights for search: A note evaluating the use of search engine data in social research. Social Science Quarterly, 92(1), 285–295.
Sear, R. (2015). Evolutionary contributions to the study of human fertility. Population Studies, 69, S39–S55.
Simpson, J. A., Griskevicius, V., Kuo, S. I., Sung, S., & Collins, W. A. (2012). Evolution, stress, and sensitive periods: The influence of unpredictability in early versus late childhood on sex and risky behavior. Developmental Psychology, 48(3), 674–686.
Spink, A., Ozmutlu, H. C., & Lorence, D. P. (2004). Web searching for sexual information: An exploratory study. Information Processing and Management, 40(1), 113–123.
Stearns, S. (1992). The evolution of life histories. New York: Oxford University Press.
U.S. Bureau of Economic Analysis. (2013–2017). Per capita real GDP by state (Chained 2012 dollars). Retrieved July 15, 2019 from https://apps.bea.gov/itable/iTable.cfm?ReqID=70&step=1.
U.S. Census Bureau. (2016). Computer and Internet use in the United States: 2016. Retrieved June 20, 2018 from https://www.census.gov/library/publications/2018/acs/acs-39.html.
U.S. Federal Bureau of Investigation. (2013–2017). Crime in the U.S. Retrieved July 15, 2019 from https://ucr.fbi.gov/crime-in-the-u.s.
Willoughby, B. J., Carroll, J. S., Nelson, L. J., & Padillawalker, L. M. (2014). Associations between relational sexual behaviour, pornography use, and pornography acceptance among us college students. Culture Health & Sexuality, 16(9), 1052–1069.
Xu, J. Q., Murphy, S. L., Kochanek, K. D., Bastian, B., & Arias, E. (2018). Deaths: Final data for 2016 (National Vital Statistics Reports Volume 67, Number 5). Centers for Disease Control and Prevention. Retrieved July 15, 2019 from https://www.cdc.gov/nchs/data/nvsr/nvsr67/nvsr67_05.pdf.
Xu, J. Q., Murphy, S. L., Kochanek, K. D., & Bastian, B. A. (2016). Deaths: Final data for 2013 (National Vital Statistics Reports Volume 64, Number 2). Centers for Disease Control and Prevention. Retrieved July 15, 2019 from https://www.cdc.gov/nchs/data/nvsr/nvsr64/nvsr64_02.pdf.
We extend warm thanks to Dr. Zucker and anonymous reviewers for their insights and detailed comments which helped us to substantially improve the paper. We would also like to thank the support of the National Natural Science Foundation of China (Grant No. 31600910).
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No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.
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Cheng, L., Zhou, X., Wang, F. et al. A State-Level Analysis of Mortality and Google Searches for Pornography: Insight from Life History Theory. Arch Sex Behav 49, 3005–3011 (2020). https://doi.org/10.1007/s10508-020-01765-0
- Violent crime rate
- Life history theory
- Google trends