A Prospective Cohort Study of Seasonal Variation in Spontaneous Abortion

Epidemiology. 2022 May 1;33(3):441-448. doi: 10.1097/EDE.0000000000001474.

Abstract

Background: Up to 30% of pregnancies end in spontaneous abortion, yet few risk factors have been identified. Examining seasonal patterns in risk of spontaneous abortion can generate new hypotheses regarding environmental and lifestyle determinants.

Methods: We used data from Pregnancy Study Online-a preconception cohort study of pregnancy planners from the United States and Canada-to examine seasonal variation in spontaneous abortion risk. We enrolled 12,197 women during 2013 to 2020, 6104 of whom reported a conception within 12 months of enrollment. On follow-up questionnaires, participants reported date of spontaneous abortion and weeks gestation at time of loss. We used periodic regression to estimate two aspects of seasonal occurrence: peak/low ratio-a measure of intensity of seasonal variation-and peak timing. We examined season at risk (from the date of each gestational week) in relation to spontaneous abortion; in a secondary analysis, we examined season of conception in relation to spontaneous abortion. We controlled for seasonal patterns in attempt initiation via month the pregnancy attempt began.

Results: Almost 20% of women experienced spontaneous abortion. Risk was highest in late August, with a peak/low ratio of 1.3 (95% confidence interval [CI] = 1.1, 1.6). This seasonal pattern was evident almost exclusively for spontaneous abortion at <8 weeks since the last menstrual period date (peak/low ratio = 1.4; 95% CI = 1.2, 1.8), and associations were stronger among women living in the Southern and Midwestern United States.

Conclusions: Environmental or lifestyle factors more prevalent in late summer may be associated with increased risk of early spontaneous abortion.

MeSH terms

  • Abortion, Spontaneous* / epidemiology
  • Abortion, Spontaneous* / etiology
  • Cohort Studies
  • Female
  • Gestational Age
  • Humans
  • Pregnancy
  • Prospective Studies
  • Seasons
  • United States / epidemiology