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dc.contributor.advisorSarbakhsh, Parvin
dc.contributor.authorAlizadeh, Mahla
dc.date.accessioned2019-08-28T07:05:04Z
dc.date.available2019-08-28T07:05:04Z
dc.date.issued2019en_US
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/60520
dc.description.abstractGestational diabetes is an increasing health problem and one of the most common disorders during pregnancy all over the world. In the fourth conference on ADM and GDM, the selective screening method based on risk factors such as age, BMI, family diabetes background, high-risk pregnancy history and belonging to races with high outbreak of diabetes was suggested. In this respect, all pregnant woman are classified as 3 groups namely high-risk, middle-risk and low risk. Considering pregnancy, diabetes, low-risk pregnant woman are not studied. The present study focuses on the risk factors in high and middle –risk groups. Methodology: The studied population of this study was all the pregnant woman in Villages of Malayer City in 2016. The required information was collected using the documents in diabetes and high blood pressure questionnaires executed in the city. The information after childbirth was gathered through childbirth files. Then the data were analyzed using SPSS software. The variables were obesity, diabetes type2 family background, age, gestational diabetes background, glucosezori, previous macro mosal childbirth, stillbirth, location method, exclusive location with breast milk, blood sugar level 2 hours after eating food, systolic and diastolic blood pressure that showed a significant relationship with gestational diabetes. Results: in this study 900 pregnant woman visiting the health homeof Malayer city for pregnancy care were studied. Variables such as obesity, diabetes type 2 family background,macrozom background age and diabetes- predicting glucosezori - GDM predicting were studied. The prevalence of GDM in this study was 17/45%.Mean age of The studied population was 27.07 Conclusion: This study showed that using motherhood indices, pregnancy and disease background in individual and family can lead to making a model for predicting pregnancy diabetes.en_US
dc.language.isofaen_US
dc.publisherTabriz University of Medical Sciences, Faculty of Nutrition and Food Sciencesen_US
dc.subjectpregnancyen_US
dc.subjectpregnancy diabetesen_US
dc.subjectrisk factorsen_US
dc.subjectglucosezorien_US
dc.titleA study on Predictive Risk Factors of Gestational Diabetes in Pregnant Women in Villages of Malayeren_US
dc.typeThesisen_US
dc.contributor.supervisorJahangiri, Leila
dc.identifier.callno402/Ben_US
dc.description.disciplineCommunity based Education health systemen_US
dc.description.degreeMSc degreeen_US


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