在ALSPAC研究中估计母亲更年期的年龄:数据说明
Rochelle Knight1,2, Abigail Fraser1,2, Carol Joinson1,2
1MRC Integrative Epidemiology Unit, Bristol, England, UK.
Wellcome open research
|December 26, 2025
概括
一个算法使用纵向数据估计了自然更年期的年龄,并考虑了HRT等因素. 这种方法有助于研究生殖衰老和相关的健康风险.
科学领域:
- 生殖健康 生殖健康
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 早期更年期与慢性疾病和死亡率的风险增加有关.
- 从纵向数据准确估计更年期的开始,存在重大挑战.
研究的目的:
- 通过使用前性数据,提出估计自然更年期年龄的算法.
- 从纵向研究中突出确定更年期时间的复杂性.
主要方法:
- 开发了一个使用自我报告的最后一次月经周期 (LMP),最近的月经和12个月的月经状态的算法.
- 包含的变量如手术,避孕和激素替代疗法 (HRT) 使用.
- 从ALSPAC母亲队列中重复的LMP估计得出的自然更年期的年龄.
主要成果:
- 该算法估计了2422名女性的自然更年期的年龄 (平均年龄为49.4岁).
- 分析包括5949名女性,平均每名参与者3.6个数据时间点.
- 确定了包括不规则出血,缺失数据和相互矛盾的报告在内的挑战.
结论:
- 开发的算法提供了一种从纵向数据估计更年期年龄的方法.
- 了解更年期的时间对于研究生殖衰老和相关健康结果至关重要.
- 本数据说明支持研究人员使用ALSPAC数据集进行生殖健康研究.
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