妊娠高血压疾病的多因素logistic回归分析

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Abstract Objective To analyze the risk factors of pregnancy-induced hypertension and provide evidence support for its prevention. Methods A total of 3747 pregnant women with pregnancy outcomes were randomly selected from a cohort of pregnant women in Dongli District, Hedong District and Hebei District of Tianjin from January 2016 to December 2017. Three hundred and nine patients with gestational hypertension were selected as the observation group, and the remaining 3438 cases were regarded as the control group for statistical analysis. Single factor logistic analysis was conducted on potential influencing factors. Considering the possible interaction among all factors, a multi-factor logistic model was further used for analysis. Finally, a univariate analysis was conducted to investigate the severe adverse outcomes of pregnancy-induced hypertension and the developmental status of newborns within 42 days of birth. Results Single factor logistic analysis showed that gestational hypertension was related to age, body mass index at initial examination, family history of hypertension, hypertension, and high-risk conditions during pregnancy, such as assisted reproductive technology, diabetes during pregnancy, and abnormal serum free thyroid hormone, etc. Multivariate logistic analysis showed that initial BMI (OR=1.172, 95%CI:1.138-1.207), family history of hypertension (OR=6.599, 95%CI: 3.670-11.865), history of hypertension (OR=7.415, 95%CI:3.431-16.027), and assisted reproductive technology (OR=3.406, 95%CI:1.767-6.566) were risk factors for gestational hypertension. Through univariate analysis, it was found that gestational hypertension had an impact on delivery mode, gestational week, postpartum blood pressure at 42 days, birth weight, length and weight of newborns at 42 days. Conclusions Early prevention measures should be carried for pregnant women with high initial BMI, family history of hypertension, history of hypertension, and pregnancy with assisted reproductive technology, so as to reduce the impact on delivery methods, gestational weeks, postpartum blood pressure at 42 days and neonatal development.

Key words： pregnancy-induced hypertension generalized linear regression model risk factor

Received: 27 March 2023

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	NI Jianmei
	NIU Xiulong
	WANG Xiaojing
	WANG Tao
	ZHANG Xin

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NI Jianmei,NIU Xiulong,WANG Xiaojing等. Multivariate logistic regression analysis of pregnancy-induced hypertension[J]. Med. J. Chin. Peop. Armed Poli. Forc., 2024, 35(1): 56-60.

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http://journal08.magtechjournal.com/Jwk_wjyx/EN/ OR http://journal08.magtechjournal.com/Jwk_wjyx/EN/Y2024/V35/I1/56

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