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双胞胎和单胞胎出生时间序列的Box-Jenkins建模

Box-Jenkins modeling of chronological series of twin births and single births.

作者信息

Philippe P

机构信息

Department of Social and Preventive Medicine, Faculty of Medicine, University of Montreal, Canada.

出版信息

Hum Biol. 1991 Jun;63(3):367-87.

PMID:2055592
Abstract

A time-series analysis by Box-Jenkins modeling of the monthly observations of twin births and singleton births was attempted. The study is population based. The single-birth series has been matched to the twin-birth series for maternal birth cohort, parity of the twin birth, and residence of the parents. Three-hundred forty-one twin pairs and 340 singleton births were grouped into chronological series spanning 72 months of observation. Univariate and bivariate time-series analyses were used. Box-Jenkins modeling shows that both series share the same basic demographic and reproductive risk factors, such as ovulation and conception rates, abortions, sexual intercourse, and the less well-known random events that determine the time of delivery. These factors are randomly related to both birth processes but exert a more important influence on twin births. Beyond these crude features, twin- and single-birth series differ by the frequency of their seasonal cycle. Twin births show low-frequency variations because of a rather limited number of factors that impinge markedly on the twinning process. Single births are subjected to higher frequency variations that can be ascribed to a greater number of structuring factors, the action of which is less pervasive. Only the January peak is common to both types of births. Aside from the common features, the bivariate analysis shows that both series of births are independent, neither being related to the other. It is concluded that the subtle structuring of both processes is largely distinct. The large fraction of the unaccounted variation of each birth process (about 70%) suggests that most of the variation is due to as yet unidentified factors. The search for environmental and geocosmic factors at the origin of conception and confinement should be considered in future undertakings.

摘要

尝试通过Box-Jenkins建模对双胞胎出生和单胎出生的月度观察数据进行时间序列分析。该研究基于人群。单胎出生序列已与双胞胎出生序列在母亲出生队列、双胞胎出生的胎次以及父母居住地方面进行了匹配。341对双胞胎和340例单胎出生被分组为跨越72个月观察期的时间序列。使用了单变量和双变量时间序列分析。Box-Jenkins建模表明,这两个序列具有相同的基本人口统计学和生殖风险因素,如排卵和受孕率、流产、性交以及那些决定分娩时间但不太为人所知的随机事件。这些因素与两种出生过程均呈随机相关,但对双胞胎出生的影响更为重要。除了这些粗略特征外,双胞胎和单胎出生序列在季节性周期的频率上有所不同。由于对双胞胎孕育过程有显著影响的因素数量相当有限,双胞胎出生显示出低频变化。单胎出生则受到更高频率的变化影响,这可归因于更多的结构化因素,其作用范围较小。只有1月的峰值在两种出生类型中都很常见。除了共同特征外,双变量分析表明这两个出生序列是独立的,彼此之间没有关联。结论是,这两个过程的细微结构在很大程度上是不同的。每个出生过程中未解释的变异比例很大(约70%),这表明大多数变异是由尚未确定的因素引起的。在未来的研究中应考虑寻找受孕和分娩起源的环境和地球宇宙因素。

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