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Association of pre-pregnancy body mass index and gestational weight gain with labor stage
| Content Provider | Scilit |
|---|---|
| Author | Zhou, Li Yang, Hui-Xia Zhao, Rui-Fen Zhang, Wei-Yuan |
| Copyright Year | 2019 |
| Description | Journal: Journal of Mechanical Engineering |
| Abstract | To the Editor: In recent years, as marriage and childbearing have been delayed, the ages of primiparous women have, in general, increased. In addition, with changes in the dietary habits of pregnant women, the body mass index (BMI) during pregnancy, and birth weight of newborns have also increased. A retrospective multi-center study demonstrated the effects of obstetric characteristics (increased maternal age and the BMI) and clinical treatment (labor induction and painless delivery) on labor duration: cervical dilatation was slower than that described previously, especially during cervical dilatation of 4 to 6 cm. This new information on labor duration could provide new research directions pre-pregnancy. That is, whether the BMI can become an indicator of the optimization and management of labor duration. This research aimed to assess the effects of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on primipara duration of labor. This research undertook a retrospective assessment of 6786 pregnant women who had full-term, cephalic presentation, and single pregnancies delivered in Beijing Obstetrics and Gynecology Hospital from September 1st, 2014 to August 31st, 2015 to explore the association between pre-pregnancy BMI and gestational weight gain (GWG) with the duration of labor. Exclusion criteria were: age The indices that we evaluated were pregnancy age, height, education level, pre-pregnancy weight, pregnancy weight, weight at birth, gravidity history, gestational age, complications during pregnancy, birth mode, duration of labor, and neonatal data (childbirth complications and newborn condition). Based on the classification standardset by the World Health Organization (WHO), “low” and “normal” body weights were reflected by a BMI 2 According to the required variables, EpiData (Copenhagen, Denmark) was used to establish a database (including an EpiData quality-control file). Physicians or medical graduates with clinical experience in obstetrics within our hospital entered the data, after thorough training. Then, the obtained data were checked by readjustment of medical records for missing items, rechecking and correction of medical records for cases with logical errors, rechecking medical records for extreme values, and random selection of 10% of cases for a final check of data. SPSS version 20 (IBM, Armonk, NY, USA) was used for statistical analyses. Continuous variables with a normal distribution are the mean ± standard deviation (SD), and assessed by one-way analysis of variance (ANOVA) with post-hoct-test. Continuous variables with a non-normal distribution were presented as the median and interquartile range and compared by the rank sum test. Count data were expressed as frequency and percentage, and compared by the Pearson χ2 test or Fisher exact test. Binary logistic regression was used to determine odds ratios (ORs), adjusted ORs, and 95% confidence intervals (95% CIs) for CS risk during delivery in women with different levels of pre-pregnancy BMI and GWG. Covariates in the regression equation were maternal age, education level, pre-pregnancy BMI, and GWG. A P Related Topics Loading Related Articles |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595710/pdf |
| Ending Page | 487 |
| Page Count | 5 |
| Starting Page | 483 |
| ISSN | 05776686 |
| e-ISSN | 25425641 |
| DOI | 10.1097/cm9.0000000000000093 |
| Journal | Journal of Mechanical Engineering |
| Issue Number | 4 |
| Volume Number | 132 |
| Language | English |
| Publisher | Ovid Technologies (Wolters Kluwer Health) |
| Publisher Date | 2019-02-20 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Mechanical Engineering Obstetrics and Gynecology Education Level Weight Gain Pregnancy Bmi Gestational Weight Association Between Pre Weight At Birth Pregnancy Body Mass Maternal Age |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Mechanical Engineering Computer Science Applications |
