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两个生物学变量怎么可能存在相反的长期趋势,却又呈正相关呢?以青春期开始时间和成人身高为例进行说明。

How can two biological variables have opposing secular trends, yet be positively related? A demonstration using timing of puberty and adult height.

机构信息

Centre for Global Child Health, The Hospital for Sick Children, Toronto, Canada.

School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.

出版信息

Ann Hum Biol. 2020 Sep;47(6):549-554. doi: 10.1080/03014460.2020.1795256. Epub 2020 Aug 5.

Abstract

Timing of puberty and adult height have opposing secular trends yet are positively associated in individuals. We demonstrate this using data from a single sample and discuss possible statistical and epidemiological reasons behind it. The sample comprised 365 females from Fels Longitudinal Study born 1929-1992. We used Super-Imposition by Translation and Rotation (SITAR) to estimate individual age at peak height velocity (PHV) and PHV from serial height data (8149 observations between 5 and 24 years). General linear regression was used to investigate the association between height and age at PHV, and secular trends in height, age at PHV and PHV. Although adult height increased 0.42 (95% CI: 0.08, 0.77) cm per decade, and age at PHV decreased 1.14 (-3.74, 1.45) weeks per decade, adult height increased by 2.44 (1.78, 3.10) cm per year higher age at PHV. We found tentative evidence of the positive association between age at PHV and adult height strengthened 0.25 (-0.09, 0.59) cm each decade. Secular trends in related variables may differ if the between-individual and between-cohort associations are different. To understand if a secular trend in one variable has contributed to a trend in another, each needs to be modelled over time, together with the changing association between them.

摘要

青春期开始时间和成年身高具有相反的长期趋势,但在个体中呈正相关。我们使用来自单个样本的数据证明了这一点,并讨论了其背后可能的统计和流行病学原因。该样本由 1929 年至 1992 年出生的 Fels 纵向研究中的 365 名女性组成。我们使用平移和旋转叠加(SITAR)来估计个体的身高增长峰值年龄(PHV)和来自连续身高数据的 PHV(5 至 24 岁之间有 8149 个观察值)。我们使用一般线性回归来研究身高与 PHV 年龄之间的关联,以及身高、PHV 年龄和 PHV 的长期趋势。尽管成年身高每十年增加 0.42 厘米(95%CI:0.08,0.77),而 PHV 年龄每十年减少 1.14 周(-3.74,1.45),但 PHV 年龄每增加 1 岁,成年身高就会增加 2.44 厘米(1.78,3.10)。我们发现,PHV 年龄与成年身高之间的正相关关系存在初步证据,每十年增加 0.25 厘米(-0.09,0.59)。如果个体间和队列间的关联不同,相关变量的长期趋势可能会有所不同。为了了解一个变量的长期趋势是否导致了另一个变量的趋势,需要随着时间的推移对每个变量进行建模,并同时对它们之间的变化关系进行建模。

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