检查1990-2010年间英国性生活方式的变化:一种潜在的阶级分析方法
Luke Muschialli1, Pantelis Samartsidis2, Anne M Presanis2
1UCL Medical School, Faculty of Medical Sciences, University College London, London, UK. lgm35@cam.ac.uk.
BMC public health
|February 3, 2024
概括
隐性类分析 (LCA) 有效地跟踪性生活方式的变化. 该研究发现,在1990年至2010年期间,报告有多个伴侣和更高的艾滋病毒风险的人数显著增加.
科学领域:
- 社会学 社会学 社会学
- 公共卫生 公共卫生
- 统计建模 统计建模
背景情况:
- 了解不断变化的性生活方式对于预测性健康结果至关重要.
- 传统的统计方法难以捕捉性行为的复杂性.
- 隐性类分析 (LCA) 提供了一种强大的方法来识别不同种群中的同质子组.
研究的目的:
- 评估隐性类分析 (LCA) 在评估性生活方式的时间变化的有效性.
- 将从LCA获得的见解与分析性行为模式变化的传统方法进行比较.
主要方法:
- 使用了来自全国性态度和生活方式调查 (Natsal) 三波 (1990,2000,2010) 的概率采样数据.
- 专注于16至44岁的性活跃参与者,分析了包括伴侣数量,无避孕套性行为,第一次性行为的年龄和感知到的艾滋病毒风险在内的变量.
- 采用LCA模型和多项回归分析来识别不同的性生活方式类别并跟踪它们随时间的变化.
主要成果:
- 两十年来,LCA成功地识别和跟踪了性生活方式课程的变化.
- 在一个潜伏类中观察到显著的增加,其特点是多个伴侣,无避孕套的性行为,感知到的艾滋病毒风险和早期开始性活动.
- 这一趋势在1990年至2010年间,在男性 (19.5%至31.1%) 和女性 (9.9%至22.1%) 两种群体中都明显.
结论:
- LCA是一种可行的方法来分析随着时间的推移复杂的行为变化,为性生活方式提供细微的见解.
- 调查结果证实了英国性生活方式的变化,突出了伙伴关系数量和性别差异的重要作用.
- 这种方法可以为公共卫生政策提供信息,并可以扩展到研究当代问题,例如COVID-19对性行为的影响.
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