Xun Li1, Hongzhuan Tan2, Xin Huang3, Shujin Zhou4, Shimin Hu5, Xiaojuan Wang6, Xin Xu7, Qian Liu8, Shi Wu Wen9. 1. School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan, China. Electronic address: li.xunxx@hotmail.com. 2. School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan, China. Electronic address: tanhz99@qq.com. 3. School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan, China. Electronic address: monaxinhuang@qq.com. 4. Liuyang Municipal Hospital of Maternal and Child Health, 53 Beizheng North Road, Liuyang, Hunan, China. Electronic address: 563999542@qq.com. 5. School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan, China. Electronic address: 583534035@qq.com. 6. School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan, China. Electronic address: 646829625@qq.com. 7. School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan, China. Electronic address: 787762507@qq.com. 8. School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan, China; Criminal Investigation Division, Changsha Public Security Bureau, Hunan, China. Electronic address: sean-6868@163.com. 9. OMNI Research Group, Department of Obstetrics and Gynecology, University of Ottawa, 501 Smyth Road, Box 241, Ottawa, Ontario K1H 8L6, Canada. Electronic address: swwen@ohri.ca.
Abstract
OBJECTIVES: To compare the risk factors for gestational hypertension (GH) and preeclampsia (PE) in the same population, which may provide clues to better understanding of their etiologic mechanisms. METHODS: We conducted a cohort study in Liuyang, China, during 2010-2011. Twelve potential risk factors were investigated, including maternal age, body mass index at first antenatal visit, gender of newborn, parity, abortion history, smoking history, family history of hypertension, gestational diabetes mellitus, pregnancy complications of diabetes mellitus/renal disease/cardiac disease, reproductive tract infection, season of delivery, and district level average per capita income. Logistic regression were used to estimate odds ratios for potential risk factors. RESULTS: Of 6223 pregnancies, 1.8% was complicated by PE, and 5.4% by GH. Maternal age older than 35, body mass index above 24, and pregnancy complicated with gestational diabetes mellitus increased the risk of both PE and GH, while with different effect sizes. Primiparity and deliver in winter and spring (compared with summer delivery) were risk factors for GH only. Pregnancy complicated with diabetes mellitus/renal disease/cardiac disease was risk factor for PE only. Significantly lower risk of GH was observed for women younger than 25 or with low body mass index in the first trimester. Mothers carrying a male fetus were more likely to develop PE. CONCLUSIONS: Risk factors for GH and PE were not exactly the same. Underling those differences might be their different etiology and mechanism. To confirm the similarities and differences been found in single study, it is important to conduct investigation in other population.
OBJECTIVES: To compare the risk factors for gestational hypertension (GH) and preeclampsia (PE) in the same population, which may provide clues to better understanding of their etiologic mechanisms. METHODS: We conducted a cohort study in Liuyang, China, during 2010-2011. Twelve potential risk factors were investigated, including maternal age, body mass index at first antenatal visit, gender of newborn, parity, abortion history, smoking history, family history of hypertension, gestational diabetes mellitus, pregnancy complications of diabetes mellitus/renal disease/cardiac disease, reproductive tract infection, season of delivery, and district level average per capita income. Logistic regression were used to estimate odds ratios for potential risk factors. RESULTS: Of 6223 pregnancies, 1.8% was complicated by PE, and 5.4% by GH. Maternal age older than 35, body mass index above 24, and pregnancy complicated with gestational diabetes mellitus increased the risk of both PE and GH, while with different effect sizes. Primiparity and deliver in winter and spring (compared with summer delivery) were risk factors for GH only. Pregnancy complicated with diabetes mellitus/renal disease/cardiac disease was risk factor for PE only. Significantly lower risk of GH was observed for women younger than 25 or with low body mass index in the first trimester. Mothers carrying a male fetus were more likely to develop PE. CONCLUSIONS: Risk factors for GH and PE were not exactly the same. Underling those differences might be their different etiology and mechanism. To confirm the similarities and differences been found in single study, it is important to conduct investigation in other population.
Authors: Minxue Shen; Graeme N Smith; Marc Rodger; Ruth Rennicks White; Mark C Walker; Shi Wu Wen Journal: PLoS One Date: 2017-04-24 Impact factor: 3.240
Authors: Zoe A Broere-Brown; Maria C Adank; Laura Benschop; Myrte Tielemans; Taulant Muka; Romy Gonçalves; Wichor M Bramer; Josje D Schoufour; Trudy Voortman; Eric A P Steegers; Oscar H Franco; Sarah Schalekamp-Timmermans Journal: Biol Sex Differ Date: 2020-05-11 Impact factor: 5.027