Smith A M A, Subramanian S V
Australian Research Centre in Sex, Health and Society, La Trobe University, 215 Franklin Street, Melbourne 3000, Australia.
Sex Transm Infect. 2006 Jun;82(3):250-4; discussion 254. doi: 10.1136/sti.2005.018549.
The study examines whether an individual's sexual behaviour is associated with the demographic context within which they live.
Data from a large behavioural survey were matched to the census and the number of opposite sex partners individuals reported having in the year before interview was modelled against a suite of individual characteristics and analogous characteristics for the population in which they lived.
The number of partners reported (none, one, two, three, or more) were variously associated with an individual's gender, age, marital status, sexual identity, and same sex activity in the previous year. Additionally, population age structure, sex ratio, and the proportion of the population reporting specific patterns of sexual activity were associated with the behaviour of individuals.
This study demonstrates that population context is associated with individual behaviour even after individual characteristics have been taken into account. This suggests that multilevel modelling of sexual behaviour data can provide new insights into the pattern of sexual behaviour.
本研究探讨个体的性行为是否与其所处的人口统计学背景相关。
将一项大型行为调查的数据与人口普查数据相匹配，并根据一系列个体特征以及他们所居住人群的类似特征，对个体在访谈前一年报告的异性伴侣数量进行建模。
报告的伴侣数量（无、一个、两个、三个或更多）与个体的性别、年龄、婚姻状况、性取向以及上一年的同性性行为存在不同程度的关联。此外，人口年龄结构、性别比以及报告特定性行为模式的人口比例与个体行为有关。
本研究表明，即使考虑了个体特征，人口背景仍与个体行为相关。这表明对性行为数据进行多层次建模可以为性行为模式提供新的见解。
