Attachment Fertility Theory: Complex Systems of Mechanisms Simplify Sex, Mating, and Sexual Risks.
Attachment Fertility Theory: Complex Systems of Mechanisms Simplify Sex, Mating, and Sexual Risks.
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DOI:
10.1080/1047840x.2013.817322
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发表时间:
2013-07
影响因子:
9.3
通讯作者:
Appleby PR
中科院分区:
文献类型:
--
作者:
Miller LC;Christensen JL;Pedersen WC;Putcha-Bhagavatula A;Appleby PR
Sex and mating are central to evolutionary processes. Understanding the factors, including the evolved mechanisms, affecting men’s and women’s sexual decision making, is of interest to scientists, and the public at large. But “getting it right” is critical to researchers trying to develop more effective interventions to address today’s important health issues (eg, preventing HIV, the sexually transmitted virus that causes AIDS, in high-risk populations). In the current work, we briefly describe attachment fertility theory (AFT; Miller & Fishkin, 1997; Miller, Pedersen, & Putcha-Bhagavatula, 2005; Miller, Putcha-Bhagavatua, & Pedersen, 2002; Pedersen, Miller, Putcha-Bhagavatula, & Yang, 2002; Pedersen, Putcha-Bhagavatula, & Miller, 2011), and Stewart-Williams and Thomas’s (this issue) approach, then we discuss the communalities and differences between these approaches. AFT’s ability to provide a unified, universal (sex-similar) framework for understanding intraindividual and interindividual sexual diversity (eg, from short-term relationships to pair-bonds) has guided unique research questions, including in HIV prevention research. It has done so with high-risk populations (eg, men who have sex with men) who engage in high levels of sex (and unprotected anal intercourse [UAI]) with numerous sexual partners. One might think that high-risk men who have sex with men (MSM) might be an unlikely population for testing AFT’s predictions. Nevertheless, we briefly present a new set of findings that demonstrates how generalizable and useful AFT can be in developing testable hypotheses regarding sexual behaviors and sexual risk taking. Finally, along with our conclusions, we discuss what tools are needed to better understand systems of evolved mechanisms and advance future work in this field.