Elevated risk of infectious diseases in adulthood after prenatal or early postnatal exposure to the Great Chinese Famine
Abstract
Although prenatal exposure to famine is known to increase the risk of various noncommunicable conditions, its effects on infectious diseases remain poorly understood. We examined the effect of prenatal exposure to the Great Chinese Famine on risks for 11 notifiable infectious diseases in two consecutive generations through the analysis of >4.4 million surveillance records in Sichuan Province, China. Using an approach combining cohort models with counterfactual effect imputation, we estimated the ratio of observed to expected incidence rates (incidence rate ratio, IRR) in the absence of famine among both the directly affected birth cohort (F1) and their possible offspring (F2). We further examined whether there was a dose–response relationship between famine severity and infectious disease outcomes using meta-regression at the prefecture level. We found that the risk of acquiring any of the 11 infectious diseases studied increased significantly among both the F1 (IRR: 1.13, 95% CI: 1.04 to 1.21) and the F2 cohort (IRR: 1.08, 95% CI: 1.00 to 1.15). IRRs for the F1 generation were higher in prefectures that experienced more severe famine, with one interquartile range increase in famine severity associated with a 3.95% (95% CI: 1.87 to 6.05%) increase in F1 IRR. Positive associations of varying magnitudes were estimated between increased risks in the F1 cohort and famine intensity for most individual diseases. Prenatal exposure to famine may have long-term and potential intergenerational impacts on the risk of a broad range of infectious diseases. Ensuring adequate prenatal nutrition may be crucial in reducing the burden of infectious diseases across generations.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (12)
Qi Li
Philip A. Collender
Science Branch, Santa Clara County Public Health Department
Hailan Yu
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
Kristin N. Nelson
Department of Biostatistics, Rollins School of Public Health, Emory University
Jon Zelner
Department of Epidemiology, School of Public Health, University of Michigan
Xinqiang Wang
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
Xiaolu Wang
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
Jiayi Tang
College of Pharmaceutical Sciences
Leonardo Martinez
Department of Epidemiology, School of Public Health, Boston University
Justin V. Remais
Division of Environmental Health Sciences, University of California
Changhong Yang
Institute of Health Informatics, Sichuan Center for Disease Control and Prevention
Qu Cheng
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology