Maternal Body Mass Index, Gestational Weight Gain, and Risk of Cancer in Offspring: A Systematic Review and Meta-Analysis.

Junxiang Miao, Yan Chen, Xiaoling Liu, Changxiang Ye, Xuan Zhou, Ziqi Yang, Ziqiang Gong, Lizhang Chen, Tingting Wang

Journal: Nutrients 2023;15(7):1601

PMID: 37049442

Abstract

: Mounting evidence suggests that maternal obesity and gestational weight gain (GWG) may increase the risk of cancer in their offspring; however, results are inconsistent. The purpose of this research is to determine the association between maternal body mass index (BMI) and GWG and the risk of cancer in offspring through a systematic and comprehensive meta-analysis. : A systematic literature search of several databases was conducted on 1 October 2022 to identify relevant studies. The quality of the included studies was evaluated using the Newcastle-Ottawa scale. The overall risk estimates were pooled using a random-effects meta-analysis. : Twenty-two studies with more than 8 million participants were included. An increased risk of total cancer was found in offspring whose mothers had a high GWG (odds ratio [OR]: 1.10; 95% CI: 1.01-1.19; : 0.040) but not in offspring whose mothers had a low GWG (OR: 1.06; 95% CI: 0.96-1.17; : 0.030), when compared with offspring whose mothers had a suitable GWG. In addition, no statistically significant association was found between maternal underweight (OR: 1.05; 95% CI: 0.97-1.13; : 0.630), overweight/obesity (OR: 1.07; 95% CI: 0.99-1.16; : 0.020), and risk of total cancer in offspring. : Our study proposes evidence that maternal BMI and GWG may be associated with the risk of cancer in offspring, although statistical significance was found only for high GWG. Further well-designed research is required to clarify the potential relevance of maternal BMI and GWG on offspring cancer, especially for specific cancers.

Address: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410017, China.; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410017, China.; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha 410078, China.; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410017, China.; NHC Key Laboratory for Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410007, China.
Bant logo

© Copyright 2026, Nutrition Evidence

NED wishes to thank the following organisations for their support:

We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.