Understanding sexual behaviour and attitudes: a big data approach

该项目旨在利用对大数据集的二次分析来更好地理解性行为。起点是睾丸激素与性行为和性态度之间的联系。所有分类的数据都得出结论，睾丸激素在生理和心理功能中发挥作用。睾酮也被认为在人类的性行为和态度中起着中介作用。此外，性行为被理解为对幸福并最终对公共健康产生重要影响。然而，关于睾丸激素和性行为之间关系的研究就不那么清楚了。过去研究的问题使这种联系进一步复杂化，很难一概而论。目前的博士学位旨在通过使用15,000名参与者的大规模概率样本和大约4,500项唾液睾酮分析来解决这些问题。在博士期间，将使用其他大型二级数据集来制定和测试进一步的研究问题。

The project aims to use secondary analysis of large datasets to better understand sexual behaviour. Thestarting point is the link between testosterone and sexual behaviours and attitudes. Data across taxahave concluded that testosterone plays a role in physiological and psychological functions. Testosteronehas also been identified as having a mediating role in sexual behaviour and attitudes in humans. Further,sexual behaviour is understood to have an important influence on well-being, and ultimately, publichealth. Research into the relationship between testosterone and sexual behaviours, however, is lessclear. Problems with past research further complicate this association and are difficult to generalise. Thecurrent PhD aims to address these issues, by utilising a large-scale probability sample of 15,000participants and approximately 4,500 salivary Testosterone assays. During the PhD, further researchquestions will be formulated and tested using other, large secondary datasets.