Tags

Type your tag names separated by a space and hit enter

[A cohort study on the impacts of pre-pregnancy maternal body mass index, gestational weight gain on neonate birth status and perinatal outcomes in Fujian province].
Zhonghua Liu Xing Bing Xue Za Zhi. 2014 Jun; 35(6):635-40.ZL

Abstract

OBJECTIVE

To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG) on pregnancy outcomes.

METHODS

We adopted a prospective cohort study with cluster sampling in single pregnant women, who were not with hypertension, diabetes, hyperlipidemia or other diseases in the previous history, neither did they have diseases of heart, liver, kidney, thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under 'informed consent' were surveyed with questionnaire to track their peri-natal complications, delivery mode and neonate birth outcomes etc. Pearson and partial correlations, chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI, GWG and pregnancy outcomes.

RESULTS

A total of 623 pregnant women were recruited in the cohort, with 592 (95%) of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that, after controlling the potential confounding factors, when compared to women with pre-pregnancy BMI between 18.5 and 24.0, the odds ratios (ORs) for low birth ponderal index (PI) were 2.34 [95% confidence interval (CI), 1.24-4.42)]among those with BMI<18.5, respectively, while 2.73 (1.12-6.68) for high birth PI among those with BMI > 24.0. Similarly, when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI), low GWG (<P15) seemed to be the risk factor for preterm birth, low birth weight, gestational diabetes mellitus, with low birth PI [ORs as 4.85(1.35-17.51), 10.30 (2.29-46.35), 2.29 (1.07-4.93) and 2.65(1.24-5.68), respectively. High GWG (>P 85)appeared the risk factor for high birth weight, high birth PI, and gestational diabetes mellitus, with ORs as 3.83(1.74-8.44), 2.39(1.14-5.01)and 2.21(1.07-4.55), respectively.

CONCLUSION

Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes.

Authors+Show Affiliations

Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China. Email: fjcsqx@sina.com.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Center for Disease Control and Prevention.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.Fujian Provincial Maternal and Child Health Hospital, Fuzhou 350001, China.

Pub Type(s)

English Abstract
Journal Article
Research Support, Non-U.S. Gov't

Language

chi

PubMed ID

25174462

Citation

Li, Yanhua, et al. "[A Cohort Study On the Impacts of Pre-pregnancy Maternal Body Mass Index, Gestational Weight Gain On Neonate Birth Status and Perinatal Outcomes in Fujian Province]." Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi, vol. 35, no. 6, 2014, pp. 635-40.
Li Y, Chen X, Chen S, et al. [A cohort study on the impacts of pre-pregnancy maternal body mass index, gestational weight gain on neonate birth status and perinatal outcomes in Fujian province]. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35(6):635-40.
Li, Y., Chen, X., Chen, S., Wu, J., Zhuo, X., Zheng, Q., Wei, X., Zhang, R., Huang, H., Zheng, C., & Lin, J. (2014). [A cohort study on the impacts of pre-pregnancy maternal body mass index, gestational weight gain on neonate birth status and perinatal outcomes in Fujian province]. Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi, 35(6), 635-40.
Li Y, et al. [A Cohort Study On the Impacts of Pre-pregnancy Maternal Body Mass Index, Gestational Weight Gain On Neonate Birth Status and Perinatal Outcomes in Fujian Province]. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35(6):635-40. PubMed PMID: 25174462.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [A cohort study on the impacts of pre-pregnancy maternal body mass index, gestational weight gain on neonate birth status and perinatal outcomes in Fujian province]. AU - Li,Yanhua, AU - Chen,Xiaomei, AU - Chen,Shuixian, AU - Wu,Jiangnan, AU - Zhuo,Xiuyun, AU - Zheng,Qiaoling, AU - Wei,Xiuqing, AU - Zhang,Ronghua, AU - Huang,Huiqing, AU - Zheng,Cuixian, AU - Lin,Juan, PY - 2014/9/2/entrez PY - 2014/9/2/pubmed PY - 2015/1/23/medline SP - 635 EP - 40 JF - Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi JO - Zhonghua Liu Xing Bing Xue Za Zhi VL - 35 IS - 6 N2 - OBJECTIVE: To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG) on pregnancy outcomes. METHODS: We adopted a prospective cohort study with cluster sampling in single pregnant women, who were not with hypertension, diabetes, hyperlipidemia or other diseases in the previous history, neither did they have diseases of heart, liver, kidney, thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under 'informed consent' were surveyed with questionnaire to track their peri-natal complications, delivery mode and neonate birth outcomes etc. Pearson and partial correlations, chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI, GWG and pregnancy outcomes. RESULTS: A total of 623 pregnant women were recruited in the cohort, with 592 (95%) of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that, after controlling the potential confounding factors, when compared to women with pre-pregnancy BMI between 18.5 and 24.0, the odds ratios (ORs) for low birth ponderal index (PI) were 2.34 [95% confidence interval (CI), 1.24-4.42)]among those with BMI<18.5, respectively, while 2.73 (1.12-6.68) for high birth PI among those with BMI > 24.0. Similarly, when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI), low GWG (<P15) seemed to be the risk factor for preterm birth, low birth weight, gestational diabetes mellitus, with low birth PI [ORs as 4.85(1.35-17.51), 10.30 (2.29-46.35), 2.29 (1.07-4.93) and 2.65(1.24-5.68), respectively. High GWG (>P 85)appeared the risk factor for high birth weight, high birth PI, and gestational diabetes mellitus, with ORs as 3.83(1.74-8.44), 2.39(1.14-5.01)and 2.21(1.07-4.55), respectively. CONCLUSION: Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes. SN - 0254-6450 UR - https://www.unboundmedicine.com/medline/citation/25174462/[A_cohort_study_on_the_impacts_of_pre_pregnancy_maternal_body_mass_index_gestational_weight_gain_on_neonate_birth_status_and_perinatal_outcomes_in_Fujian_province]_ L2 - http://journal.yiigle.com/LinkIn.do?linkin_type=pubmed&amp;issn=0254-6450&amp;year=2014&amp;vol=35&amp;issue=6&amp;fpage=635 DB - PRIME DP - Unbound Medicine ER -