Data

GI Baby 3 Database

The University of Sydney
Professor Jennie Brand-Miller (Managed by, Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title=GI Baby 3 Database&rft.identifier=GI baby 3&rft.publisher=The University of Sydney&rft.description= The GI Baby 3 database contains numerical data and supplementary information relating to a randomised controlled trial study that measures the influence of maternal diet on the the birthweight of the infant. The study aims to identify risk factors associated with gestational diabetes, high birth weight and child obesity.  Data was collected at the Royal Prince Alfred (RPA) Hospital in Sydney, NSW, from a randomised sample of 120 women, recruited between 12 and 18 weeks pregnancy. The women were put on two diets, and data was collected at four-weekly intervals until the baby was born.  At birth, data relating to the delivery method, gestational age, birth weight and body fat percentage of the infant was collected.   The resulting dataset consists of tables of information in spreadsheet (MS Excel) format, including clinical and demographic data about each participant, including height, weight, age, ethnicity, dietary factors, and numerical data from survey responses. The dataset also contains clinical data about each infant, including the results of glucose tolerance tests, cord blood glucose tests, delivery methods, gestational age, birth weight and body fat percentage of the infant.  The dataset is delivered via a custom Filemaker Database, which is used to manage the spreadsheets and associated metadata, and track appointments and tests undertaken by each of the participants throughout the project. The project is expected to be completed in 2016. Once the project is complete, the dataset will be de-identified, and may be able to be shared, subject to the appropriate level of human ethics clearance. Project contributors include Professor Jennie Brand-Miller, Associate Professor Gareth Denyer, Dawn Tan, Dr Tania Markovik, Dr Glynis Ross, Dr Jonathan Hyett, Dr Ros Muirhead, Research Dietitian Shannon Overs, and PhD candiate Nathalie Kizirian. &rft.creator=Professor Jennie Brand-Miller&rft.date=2012&rft.coverage=151.184601,-33.887885 151.178392,-33.887885 151.178392,-33.891561 151.184601,-33.891561 151.184601,-33.887885&rft_subject=Paediatrics and Reproductive Medicine not elsewhere classified&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=PAEDIATRICS AND REPRODUCTIVE MEDICINE&rft_subject=Public Nutrition Intervention&rft_subject=NUTRITION AND DIETETICS&rft_subject=pregnancy&rft_subject=gestational diabetes&rft_subject=infant nutrition&rft_subject=reproductive health&rft_subject=maternal health&rft_subject=child health&rft_subject=child obesity prevention&rft_subject=caesarian section&rft_subject=adverse outcome&rft.type=dataset&rft.language=English Access the data

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Contact Information

School of Molecular Bioscience
The University of Sydney
NSW 2006



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Access to this database is currently restricted to the project investigators (2012). Please contact the researcher to discuss the conditions of access to this dataset.

Brief description

The GI Baby 3 database contains numerical data and supplementary information relating to a randomised controlled trial study that measures the influence of maternal diet on the the birthweight of the infant. The study aims to identify risk factors associated with gestational diabetes, high birth weight and child obesity. 

Data was collected at the Royal Prince Alfred (RPA) Hospital in Sydney, NSW, from a randomised sample of 120 women, recruited between 12 and 18 weeks pregnancy. The women were put on two diets, and data was collected at four-weekly intervals until the baby was born.  At birth, data relating to the delivery method, gestational age, birth weight and body fat percentage of the infant was collected.  

The resulting dataset consists of tables of information in spreadsheet (MS Excel) format, including clinical and demographic data about each participant, including height, weight, age, ethnicity, dietary factors, and numerical data from survey responses. The dataset also contains clinical data about each infant, including the results of glucose tolerance tests, cord blood glucose tests, delivery methods, gestational age, birth weight and body fat percentage of the infant.  The dataset is delivered via a custom Filemaker Database, which is used to manage the spreadsheets and associated metadata, and track appointments and tests undertaken by each of the participants throughout the project.

The project is expected to be completed in 2016. Once the project is complete, the dataset will be de-identified, and may be able to be shared, subject to the appropriate level of human ethics clearance.

Project contributors include Professor Jennie Brand-Miller, Associate Professor Gareth Denyer, Dawn Tan, Dr Tania Markovik, Dr Glynis Ross, Dr Jonathan Hyett, Dr Ros Muirhead, Research Dietitian Shannon Overs, and PhD candiate Nathalie Kizirian.

Data time period: 2011 to 2016

Click to explore relationships graph

151.184601,-33.887885 151.178392,-33.887885 151.178392,-33.891561 151.184601,-33.891561 151.184601,-33.887885

151.1814965,-33.889723

Identifiers
  • Local : GI baby 3