Case-control study on the relationship between oral health behavior during pregnancy and gestational diabetes mellitus
Objective To explore the effect of oral health behavior during pregnancy on gestational diabetes mellitus(GDM).Methods A total of 146 pregnant women with GDM who underwent gestational blood glucose monitoring in the obstetrics department of Northwest Women's and Children's Hospital from January to December 2022 were included in case group,and 634 healthy pregnant women were included in control group.The general demographic characteristics,life behavior during pregnancy,pregnancy-related information,oral health behavior during pregnancy and other related data of the objects were collected;Oral Health Impact Profile-14(OHIP-14)was used to assess the oral health-related quality of life of pregnant women;multiple regression model was used to analyze the oral health behavior during pregnancy that affected the occurrence of GDM.Results The proportions of frequent mouthwash after meals,rarely eating after brushing teeth,using dental floss,seeking timely medical attention for oral discomfort,brushing times≥2 times/d,brushing time≥3 min/time in the case group were lower than those in the control group(P<0.05).The pain and discomfort,functional limitation,decreased independent ability scores and total score in the case group were higher than those in the control group(P<0.05).The results of multiple regression analysis showed that seldom mouthwash after meals,frequent or occasional eating after brushing teeth,failed to seek timely medical attention for oral discomfort,and high OHIP-14 score increased the risk of GDM,while using dental floss reduced the risk of GDM(P<0.05).Conclusion Poor oral health behavior during pregnancy may increase the risk of GDM.Oral health promotion activities during pregnancy should be actively carried out to improve oral health-related quality of life and promote maternal and child health.
oral health behaviorgestational diabetes mellitusoral health-related quality of lifematernal and child health
NETL
NSTL
万方数据
维普
