Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study

Guoju Li; Yuhan Xing; Guolan Wang; Jun Zhang; Qin Wu; Wei Ni; Na Jiao; Wenjing Chen; Qing Liu; Li Gao; Zhenhong Zhang; Yao Wang; Quansheng Xing

doi:10.1186/s12916-021-02046-w

Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study

BMC Med. 2021 Aug 4;19(1):175. doi: 10.1186/s12916-021-02046-w.

Authors

Guoju Li^#¹, Yuhan Xing^#², Guolan Wang¹, Jun Zhang³, Qin Wu¹, Wei Ni¹, Na Jiao¹, Wenjing Chen³, Qing Liu³, Li Gao¹, Zhenhong Zhang⁴, Yao Wang⁴, Quansheng Xing⁵

Affiliations

¹ Qingdao Women and Children's Hospital, Qingdao University, No.6 Tongfu Road, Qingdao, 266000, Shandong Province, China.
² Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
³ Qingdao Women and Children's Health Care and Family Planning Service Center, Qingdao, Shandong Province, China.
⁴ Public Health School, Medical College of Qingdao University, Qingdao, China.
⁵ Qingdao Women and Children's Hospital, Qingdao University, No.6 Tongfu Road, Qingdao, 266000, Shandong Province, China. qsxing0532@126.com.

^# Contributed equally.

Abstract

Background: The differential effect of pre-pregnancy low BMI on macrosomia has not been fully addressed. Herein, we conducted a city-wide population-based cohort study to illuminate the association between pre-pregnancy low BMI and macrosomia, stratifying by maternal age, parity, and GDM status.

Methods: All pregnant women who paid their first prenatal visit to the hospital in Qingdao during August 1, 2018, to June 30, 2020, were recruited to this study. The interactive effect of maternal age and pre-pregnancy low BMI on macrosomia was evaluated using logistic regression models, followed by strata-specific analyses.

Results: A total of 105,768 mother-child pairs were included, and the proportion of fetal macrosomia was 11.66%. The interactive effect of maternal pre-pregnancy BMI and age was statistically significant on macrosomia irrespective of parity (nullipara: P_adjusted=0.0265; multipara: P_adjusted=0.0356). The protective effect of low BMI on macrosomia was most prominent among nullipara aged 35 years and above (aOR=0.16, 95% CI 0.05-0.49) and multipara aged 25 years and below (aOR=0.17, 95% CI 0.05-0.55). In nullipara without GDM, the risk estimates gradually declined with increasing conception age (20-to-24 years: aOR=0.64, 95% CI 0.51-0.80; 25-to-29 years: aOR=0.43 95% CI 0.36-0.52; 30-to-34 years: aOR=0.40 95% CI 0.29-0.53; and ≥35 years: aOR=0.19, 95% CI 0.06-0.60). A similar pattern could also be observed in nullipara with GDM, where the aOR for low BMI on macrosomia decreased from 0.54 (95% CI 0.32-0.93) in pregnant women aged 25-29 years to 0.30 (95% CI 0.12-0.75) among those aged 30-34 years. However, younger multiparous mothers, especially those aged 25 years and below without GDM (aOR=0.21, 95% CI 0.06-0.68), were more benefited from a lower BMI against the development of macrosomia.

Conclusions: Maternal low BMI is inversely associated with macrosomia irrespective of maternal age and parity. The impact of pre-pregnancy low BMI on macrosomia varied by maternal age and parity. The protective effect of a lower maternal BMI against fetal macrosomia was more prominent in nulliparous mothers aged 35 years and above, whereas multiparous mothers younger than 25 years of age were more benefited.

Keywords: Gestational diabetes mellitus; Macrosomia; Maternal age; Parity; Pre-pregnancy BMI.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Birth Weight
Body Mass Index
Cohort Studies
Diabetes, Gestational*
Female
Fetal Macrosomia* / epidemiology
Humans
Parity
Pregnancy
Young Adult