ABSTRACT
Objective: To investigate the association between maternal pre-pregnant body mass index and gestational weight gain, as well as their interaction on neonatal birthweight. Methods: We built a cohort in Anqing Municipal Hospital from January 2014 to March 2015, enrolling pregnant women who decided to give birth in this hospital. All women were asked to fill a questionnaire for basic information collection. Medical information of both pregnant women and their newborns were obtained through electronic medical record. Chi-square analysis, multinomial logistic regression, multiplicative and additive interaction methods were used to analyze the association between pre-pregnant body mass index and gestational weight gain as well as their interactions on birth weight of the neonates. Results: A total of 2 881 pregnant women were included in this study. Of the 2 881 newborns, 359 (12.46%) were small for gestational age (SGA) and 273 (9.48%) were large for gestational age (LGA). After adjusting the possible confounding factors, results from the multinomial logistic regression showed that pre-pregnancy underweight women were more possible to deliver SGA (aRR=1.33, 95%CI: 1.02-1.73). If the gestational weight gain was below the recommended criteria, the risk of SGA (aRR=1.64, 95%CI: 1.23-2.19) might increase. Pre-pregnancy overweight/obese could increase the risk of being LGA (aRR=1.86, 95%CI: 1.33-2.60). Maternal gestational weight gain above the recommendation level was associated with higher rates of LGA (aRR=2.03, 95%CI: 1.49-2.78). Results from the interaction analysis showed that there appeared no significant interaction between pre-pregnancy BMI and gestational weight on birthweight. Conclusion: Pre-pregnancy body mass index and gestational weight gain were independently associated with neonatal birthweight while pre-pregnancy BMI and gestational weight gain did not present interaction on birthweight.
Subject(s)
Female , Humans , Infant, Newborn , Pregnancy , Birth Weight , Body Mass Index , Body Weight , China/epidemiology , Cohort Studies , Gestational Weight Gain , Infant, Small for Gestational Age , Logistic Models , Obesity/epidemiology , Overweight/epidemiology , Pregnancy Complications , Pregnant Women , Risk Factors , Thinness/epidemiology , Weight GainABSTRACT
Objective: To analyze the effect of the identification and evaluation of Escherichia (E.) coli and Shigella, based on the upstream flanking sequences of CRISPR1. Methods: Both CRISPR and cas sequences were obtained through the BLAST with repeating sequences against the publicly complete genome in GenBank that related to E. coli and Shigella. Clustal X was used to perform multi-sequences alignment of the flanking sequences. PCR method was used to amplify the upstream flanking sequences of CRISPR1 in order to appraise the effect of identification and evaluation of upstream flanking sequences on E. coli and Shigella, which were based on the upstream flanking sequences of CRISPR1. Results: The results showed that 73.4% of the strains containing the I-E CRISPR/Cas that belonged to the phylogroups A, B1, D while 8.4% strains carried the I-F CRISPR/Cas. Another 17.2% of the strains owned CRISPR3-4 (non-CRISPR/Cas) only belonged to the phylogroups B2. All the Shigella strains carried I-E CRISPR/Cas. More than 99% of similarity the CRISPR1 upstream-flanking sequences was seen in E. coli (except B2) and Shigella and E. coli (B2). Both sensitivity and specificity were greater than 91% after PCR amplification in the region to identify the E.coli and Shigella. Conclusion: The upstream of CRISPR1 could achieve a preliminary identification effect on E.coli and Shigella.