使用关于父亲/伴侣的数据来研究产前暴露和后代健康的挑战
Kayleigh E Easey1,2,3, Apostolos Gkatzionis1,2, Louise A C Millard1,2
1MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Journal of developmental origins of health and disease
|October 28, 2024
概括
妊娠研究中的合作伙伴数据可能会有偏见,因为较低社会经济地位的合作伙伴不太可能参与. 然而,模拟显示这种选择偏差对后代出生体重发现的影响很小.
科学领域:
- 生殖流行病学 生殖流行病学
- 围产期健康研究研究
- 生物统计学 生物统计学
背景情况:
- 怀孕期间父亲的暴露会影响后代的健康.
- 使用合作伙伴数据的研究面临潜在的选择偏差,由于子组数据的可用性,限制了概括性.
- 了解和量化合作伙伴数据中的选择偏差对于准确的围产期健康研究至关重要.
研究的目的:
- 调查使用伴侣数据围绕怀孕的研究中选择偏差的可能性.
- 描述英国队列研究中父亲/伴侣健康行为数据的可用性和代表性.
- 评估缺少的合作伙伴数据对研究结果的概括性的影响,以父母吸烟和儿童出生体重为案例研究.
主要方法:
- 在三项英国队列研究 (ALSPAC,出生在布拉德福德,千年队列研究) 中,参与与非参与的父亲/伴侣的比较特征.
- 在怀孕期间分析了父母健康行为 (吸烟,酒精,咖啡因,身体活动) 的数据.
- 使用ALSPAC数据进行模拟,以量化父母吸烟与儿童出生体重之间的相关性选择偏差.
主要成果:
- 父亲/伴侣数据不那么详细,并且在所有队列中收集的频率都低于母亲数据.
- 具有较低社会经济地位的伴侣不太可能参与研究.
- 模拟显示,对母亲吸烟和出生体重的选择偏差的证据很少;对父亲吸烟的偏差相对较小.
结论:
- 缺少的伴侣数据可以在围产期研究中引入选择偏差.
- 虽然存在选择偏差,但在本次分析中,其对父母吸烟和后代出生体重之间的关联的影响相对较小.
- 选择偏差的实际影响取决于具体的分析模型和底层的选择机制.
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