Miller Warren B, Barber Jennifer S, Schulz Paul
a Transactional Family Research Institute.
b University of Michigan.
Popul Stud (Camb). 2017 Mar;71(1):101-116. doi: 10.1080/00324728.2016.1253858. Epub 2016 Nov 29.
We explore whether young women's perceptions of their sexual partners' childbearing desires contribute to their risk of pregnancy. We used weekly journal data collected from 787 young women to measure their childbearing desires and their perceptions of their partners' childbearing desires. We then conducted hazard modelling to predict pregnancy risk with variables based on interactions between the women's desires and their perceived partners' desires. Models that include perceived partners' desires perform better than one based on women's desires alone. The best model contains three significant predictors: one confirms the importance of pronatal, ambivalent, and indifferent desires for pregnancy risk; one indicates that the perceived partners' antinatal desires reduce women's pregnancy risk; and one suggests that women who both perceive their partners accurately and are in agreement with them have a lower pregnancy risk. The results indicate that perceived partner data can improve prediction and enhance our understanding of pregnancy risk.
我们探究年轻女性对其性伴侣生育意愿的认知是否会增加她们怀孕的风险。我们使用了从787名年轻女性那里收集的每周日志数据，来衡量她们自己的生育意愿以及她们对伴侣生育意愿的认知。然后，我们进行了风险建模，以基于女性自身意愿与其所感知的伴侣意愿之间的相互作用的变量来预测怀孕风险。包含所感知的伴侣意愿的模型比仅基于女性自身意愿的模型表现更好。最佳模型包含三个显著的预测因素：一个证实了生育、矛盾和无动于衷的意愿对怀孕风险的重要性；一个表明所感知的伴侣的反生育意愿会降低女性的怀孕风险；还有一个表明那些既能准确感知伴侣意愿又与其达成一致的女性怀孕风险较低。结果表明，所感知的伴侣数据可以改善预测，并增进我们对怀孕风险的理解。
