Literature DB >> 33899665

A cohort study of dysmenorrhea and risk of low birth weight.

Baoying Feng1, Han Li1, Yang Peng2, Qunjiao Jiang1, Yanan Wu1, Shun Liu3, Xiaoyun Zeng3, Xiaoqiang Qiu3, Dongping Huang1.   

Abstract

OBJECTIVE: Little is known about the association between maternal history of dysmenorrhea and perinatal outcomes. The aim of this study was to investigate the association between maternal history of dysmenorrhea and low birth weight (LBW).
METHODS: A total of 6754 pregnant women were recruited from the ongoing prospective cohort study in Guangxi, China, in 2015-2018. Information on the maternal history of dysmenorrhea was obtained by questionnaires including visual analog scale (VAS) questions during the first antenatal care visit. The association of maternal history of dysmenorrhea and LBW was evaluated using logistic regression analyses adjusted for confounding factors (infant sex, maternal age, parity, pre-pregnancy body mass index (BMI) (kg/m2), gestational age, alcohol use during pregnancy, passive smoking, and occupational status).
RESULTS: Mothers with a history of dysmenorrhea were more likely to give birth to LBW infants (adjusted odds ratio (OR)=1.44; 95% confidence interval (CI): 1.12, 1.83). Among women with a history of dysmenorrhea, women ≥29 years old (adjusted OR 1.46; 95% CI 1.02, 2.10), multiparous (adjusted OR 1.59, 95% CI 1.12, 2.25), and women gave birth to female infant (adjusted OR = 1.53, 95% CI = 1.11, 2.11) had a higher risk of LBW.
CONCLUSIONS: As the first cohort study to investigate the association between maternal history of dysmenorrhea and LBW, our study shows that dysmenorrhea may increase the risk of LBW.

Entities:  

Keywords:  Dysmenorrhea; cohort study; low birth weight; pregnancy; risk factors

Year:  2021        PMID: 33899665     DOI: 10.1080/14767058.2021.1914581

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  1 in total

1.  Association of preconception dysmenorrhea with obstetric complications: the Japan Environment and Children's Study.

Authors:  Tsuyoshi Murata; Yuta Endo; Toma Fukuda; Hyo Kyozuka; Shun Yasuda; Akiko Yamaguchi; Akiko Sato; Yuka Ogata; Kosei Shinoki; Mitsuaki Hosoya; Seiji Yasumura; Koichi Hashimoto; Hidekazu Nishigori; Keiya Fujimori
Journal:  BMC Pregnancy Childbirth       Date:  2022-02-15       Impact factor: 3.007

  1 in total

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