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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 5
Jun.  2021
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Article Contents
YAN Huan, CAO Yong-wen, YE Jia-xin, SHEN Yan-fei, GE Xiao-jie, YANG Na, LIU Qian-qian, WU-YANG Hao-tian, HAN Xue-mei. Study on influencing factors of congenital heart disease in children aged 0-6 years based on case-control and dose-esponse relationship[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(5): 559-565. doi: 10.16462/j.cnki.zhjbkz.2021.05.012
Citation: YAN Huan, CAO Yong-wen, YE Jia-xin, SHEN Yan-fei, GE Xiao-jie, YANG Na, LIU Qian-qian, WU-YANG Hao-tian, HAN Xue-mei. Study on influencing factors of congenital heart disease in children aged 0-6 years based on case-control and dose-esponse relationship[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(5): 559-565. doi: 10.16462/j.cnki.zhjbkz.2021.05.012

Study on influencing factors of congenital heart disease in children aged 0-6 years based on case-control and dose-esponse relationship

doi: 10.16462/j.cnki.zhjbkz.2021.05.012
YAN Huan and CAO Yong-wen contributed equally to this article
Funds:

Gansu Natural Science Foundation Project 18JR3RA054

Gansu Health Industry Scientific Research Plan Project GSWSKY2017-43

More Information
  • Corresponding author: HAN Xue-mei, E-mail: xmhan@lzu.edu.cn
  • Received Date: 2020-07-16
  • Rev Recd Date: 2020-10-22
  • Available Online: 2021-06-16
  • Publish Date: 2021-05-10
  •   Objective  By analyzing the non-genetic factors of congenital heart disease (CHD) in children aged 0 to 6 years in Gansu Province, suggestions were put forward to prevent CHD in children.  Methods  We chose 29 566 children aged 0 to 6 from 5 districts and counties in Gansu Province from September to December 2016 by stratified isometric sampling method. We selected 106 children with CHD as the case group, and randomly selected 318 children of the same age, gender and living environment from healthy children as the control group for 1∶3 case-control matching. Then, we used logistic regression analysis method fitted by Cox proportional hazard model to analyze the influencing factors of CHD in children. At the same time, the dose-response relationship between birth weight and CHD disease in children was analyzed using a restrictive cubic spline model.  Results  Low birth weight (P= 0.028), low educational level of the mother (P=0.035), consumption of salted food (P=0.007), medical abortion history (P=0.001), ovulation medication before pregnancy (P < 0.001), consumption of fish during pregnancy (P=0.020) and appropriate physical exercise (P < 0.001) were related to the risk of CHD in children. The results of restrictive cubic spline response analysis showed a linear dose-response relationship between birth weight and congenital heart disease (overall trend P < 0.001, non-linear P=0.246).  Conclusions   It is suggested that women of childbearing age should take pre-pregnancy examination and rationally use ovulatory drugs. Pregnant women should pay attention to health care and screening during pregnancy, eat more fish, shrimp and other seafood, not eat salted and dried food, take physical exercise appropriately and strengthen the study of maternal and child health care knowledge to reduce the risk of congenital heart disease in children.
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