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Urinary cotinine levels versus self-reported smoking status for assessing placental abruption risk: the Japan Environment and Children’s study

Toma Fukuda, H. Kyozuka, Tsuyoshi Murata, Shun Yasuda, A. Yamaguchi, Akiko Sato, Yuka Ogata, M. Hosoya et al.

Journal of Maternal-Fetal & Neonatal Medicine, 2025

82,637 participants · 1 citation

Abstract

Abstract Introduction Placental abruption is a serious complication of pregnancy, and smoking is a well-known risk factor thereof. However, evaluations of the effects of smoking mostly rely on self-reported questionnaires, resulting in incorrect representation of smoke exposure owing to incorrect reporting and missing data on passive smoking. Cotinine is a major nicotine metabolite and a sensitive biomarker in smokers. However, to date, there have been no reports on the relationship between urinary cotinine levels and onset of placental abruption. Hence, this study aimed to compare smoking status assessed using self-reports and urinary cotinine levels with placental abruption. Material and methods We analyzed data from the largest nationwide Japanese birth cohort study conducted between January 2011 and March 2014. Women with multiple pregnancies and insufficient data were excluded, leaving 82,637 women eligible for the study. Participants were classified as nonsmokers (<0.31 µg/gCr), passive smokers (0.31–36.7 µg/gCr), or active smokers (≥36.8 µg/gCr) based on comparable cutoffs for urinary cotinine levels, as reported previously. Participants were also classified as never-smokers, quitting before pregnancy, quitting after pregnancy, or current smokers according to a self-reported questionnaire. Logistic regression was used to calculate the adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for the association of urinary cotinine levels and self-reported…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 82,637 participants or records.

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