Objective
This observational cross‐sectional study aimed to evaluate systemic and oral conditions in pregnant women with excessive pre‐pregnancy weight (PEW) and normal pre‐pregnancy weight (PNW) who underwent follow‐up in the private healthcare system during the third trimester of pregnancy.
Methods
Fifty pregnant women were evaluated from August 2017 to February 2018 and divided into two groups: women with PEW (n = 25); and those with PNW (n = 25). Their weight and body mass index (BMI), periodontal disease status, stimulated salivary flow, and systemic condition were evaluated. Statistical analyses were conducted using t‐test, Mann–Whitney test, chi‐square test and binary logistic regression (P < 0.05).
Results
The groups did not differ in age, educational level or monthly household income (P > 0.05). The PEW group had a higher frequency of arterial hypertension (P = 0.019) and excessive weight gain during gestation (P = 0.010), sought dental services less frequently, and had increased severity of periodontitis (P < 0.0001). Both groups presented low salivary flow, with no intergroup difference. In the final binary logistic regression models, high maternal pre‐pregnancy BMI was a significant predictor of arterial hypertension and periodontitis during the third trimester of gestation; maternal excessive weight gain was also a significant predictor of periodontitis during pregnancy.
Conclusion
Women with PEW who underwent follow‐up in a private healthcare system had a higher prevalence of arterial hypertension and worse periodontal status during the third trimester of pregnancy as compared to women with normal weight.
Objective: This thesis addresses a neglected aspect of bioinformatics research of hemifacial microsomia (HFM). Existing research stops short of prediction based on big data. This study combines multiple databases to explore underlying pathogenesis using bioinformatic approach. Methods: The research consisted of multiple bioinformatic methods, included pathogenic genes analyses, protein-protein interaction network construction, functional enrichment, and mining target genes related miRNA, for studying pathogenic genes of HFM.
Periodontitis in pregnancy may be associated with several determinants of health and knowing these determinants makes possible an integral approach of the patients. The aim of this study was to evaluate the determinants of health and periodontitis-related quality of life in pregnant women. Sample was composed by 128 patients divided into two groups: pregnant women with periodontitis (GP = 64) and without periodontitis (GWP = 64) during the third trimester of pregnancy. They were evaluated regarding: a) socioeconomic level; b) anthropometric parameters; c) systemic conditions - presence of arterial hypertension and diabetes mellitus; d) behaviors regarding oral hygiene; and e) oral health impact profile (OHIP-14). T-test, Mann-Whitney U-test, chi-square and logistic regression were applied, considering a significance level of 5%. GP showed low socioeconomic level (P = 0.0008), high maternal body mass index (BMI) (P = 0.0002) and excessive gestational weight gain (P = 0.008). No intergroup differences were observed in systemic conditions. Patients with periodontitis presented low daily dental floss use (P = 0.021) and strong impact on quality of life for all evaluated dimensions (P < 0.05). Periodontitis in pregnancy was associated with high BMI, excessive gestational weight gain, low socioeconomic level, poor oral hygiene behaviors and negative impact on quality of life.
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