Interpopulation, interindividual, intercycle, and intracycle natural variation in progesterone levels: A quantitative assessment and implications for population studies
Interpopulation, interindividual, intercycle, and intracycle natural variation in progesterone levels: A quantitative assessment and implications for population studies
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DOI：
10.1002/ajhb.20686
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发表时间：
2008-01-01
影响因子：
2.9
通讯作者：
Jasienski, Michal
中科院分区：
文献类型：
--
作者：
Jasienska, Grazyna;Jasienski, Michal
研究绝经前女性性类固醇激素的方法学挑战源于三个层面上存在的变异：同一人群的女性之间、一年中不同时间记录的女性月经周期之间以及同一周期的几天之间。对于波兰农村人口，我们将唾液黄体酮浓度的自然非病理性变化（在黄体期的 14 天期间测量）分为周期内成分（占总变化的 65%）和周期间成分（占总变化的其余 35%）。在唾液黄体酮的周期间差异中，多达 46% 表现为个体女性之间的差异（个体间成分）；其余 54% 的变化是由于女性个体周期之间的差异（周期间、女性内部成分）造成的。这种周期间的变化可能是由农业工作量的季节性引起的，并且远高于非季节性的工业人口。我们还使用引导分析来生成启发式建议，以选择受试者数量、每个女性的周期数以及每个周期的天数的样本量。对具有季节性生活方式的人群的研究应依赖于对每位女性至少三个周期的测量。鉴于激素水平的周期内波动很大，为了可靠地评估卵巢功能的生物学和医学相关变化，每个周期至少应测量 7-8 天。
Methodological challenges in studying sex steroid hormones in premenopausal women result from the existence of variation at three levels: among women from the same population, among menstrual cycles recorded for women at different times of the year, and among days of the same cycle. We partitioned, for a Polish rural population, the natural, nonpathological, variation in salivary progesterone concentrations (measured during 14 days of the luteal phase) into the intracycle component (which accounts for 65% of the total variation) and the among-cycle component (the remaining 35% of the total variation). Out of the among-cycle variation in salivary progesterone, as much as 46% is expressed as differences among individual women (interindividual component); the remaining 54% of variation is due to differences among cycles of individual women (intercycle, within-women component). Such intercycle variation is probably caused by a seasonality of agricultural workload and is much higher than in nonseasonal, industrial populations. We also used bootstrap analyses to generate heuristic recommendations for choosing sample sizes of the number of subjects, number of cycles per woman, and number of days per cycle. Studies in populations with seasonal lifestyles should rely on measurements of at least three cycles per woman. Given the substantial intracycle amplitude in hormone levels to reliably assess biologically and medically relevant variation in ovarian function, at least 7-8 days/cycle should be measured.