GDM Clinical Trial
— CNOfficial title:
Chrono Nutrition Intervention Program in Gestational Diabetes Mellitus
Working hypothesis and aims:
To asses Chrono Biological factors during the third trimester of gestational diabetes
melittus (GDM) with birth weight and related complications. The investigators hypothesize
that participants with GDM pregnancies with higher Chrono Biologocal status will be ended
with higher birth weight compared to participants with GDM pregnancies with lower status. In
addition, the investigators hypothesize that the Chrono Nutritional intervention program
will contribute to the reduction of the rate of birth weight above percentile 90 compared
with the participants with GDM in the control group.
Status | Not yet recruiting |
Enrollment | 280 |
Est. completion date | December 2018 |
Est. primary completion date | October 2017 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 18 Years to 40 Years |
Eligibility |
Inclusion Criteria: - GDM first screened in 24-32 week of prenancy - singleton pregnancy - GDM screened in "Rabin medical center" - signing an informed consent Exclusion Criteria: - women with history of metabolic disorder such as dislipidemia, heart disease, cancer, type 1 diabetes, type 2 diabetes, hypertension, kidney disease,liver disease, thyroids disorder, cancer. - women with history of fertility drug therapy such as IVF or progsterone - women who work night shifts - women who work in air crew |
Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Subject), Primary Purpose: Prevention
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Rabin Medical Center |
Asher G, Sassone-Corsi P. Time for food: the intimate interplay between nutrition, metabolism, and the circadian clock. Cell. 2015 Mar 26;161(1):84-92. doi: 10.1016/j.cell.2015.03.015. Review. — View Citation
Cagampang FR, Bruce KD. The role of the circadian clock system in nutrition and metabolism. Br J Nutr. 2012 Aug;108(3):381-92. doi: 10.1017/S0007114512002139. Epub 2012 Jun 8. Review. — View Citation
Donnelly JM, Walsh JM, Byrne J, Molloy EJ, McAuliffe FM. Impact of maternal diet on neonatal anthropometry: a randomized controlled trial. Pediatr Obes. 2015 Feb;10(1):52-6. doi: 10.1111/j.2047-6310.2013.00216.x. Epub 2014 Jan 20. — View Citation
Hiersch L, Yogev Y. Impact of gestational hyperglycemia on maternal and child health. Curr Opin Clin Nutr Metab Care. 2014 May;17(3):255-60. doi: 10.1097/MCO.0000000000000030. Review. — View Citation
Jakubowicz D, Barnea M, Wainstein J, Froy O. High caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women. Obesity (Silver Spring). 2013 Dec;21(12):2504-12. doi: 10.1002/oby.20460. Epub 2013 Jul 2. — View Citation
O'Keeffe M, St-Onge MP. Sleep duration and disorders in pregnancy: implications for glucose metabolism and pregnancy outcomes. Int J Obes (Lond). 2013 Jun;37(6):765-70. doi: 10.1038/ijo.2012.142. Epub 2012 Sep 4. Review. — View Citation
Reutrakul S, Van Cauter E. Interactions between sleep, circadian function, and glucose metabolism: implications for risk and severity of diabetes. Ann N Y Acad Sci. 2014 Apr;1311:151-73. doi: 10.1111/nyas.12355. Epub 2014 Mar 14. Review. — View Citation
Schellong K, Schulz S, Harder T, Plagemann A. Birth weight and long-term overweight risk: systematic review and a meta-analysis including 643,902 persons from 66 studies and 26 countries globally. PLoS One. 2012;7(10):e47776. doi: 10.1371/journal.pone.0047776. Epub 2012 Oct 17. Review. — View Citation
Tahara Y, Shibata S. Chrono-biology, chrono-pharmacology, and chrono-nutrition. J Pharmacol Sci. 2014;124(3):320-35. Epub 2014 Feb 27. Review. — View Citation
Yogev Y, Hiersch L. Pregnancy: impact of maternal nutrition on intrauterine fetal growth. World Rev Nutr Diet. 2014;109:101-8. doi: 10.1159/000356110. Epub 2014 Jan 16. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Offspring of participants with GDM with higher Chrono Biological score will be reported with higher birth weight (+100 gr) compared to offspring of participants with GDM with lower Chrono Biological score. | 2 year | No | |
Secondary | Offspring of participants with GDM with higher Chrono Biological score will be reported with higher birth weight above the 90 percentile compared to offspring of participants with GDM with lower Chrono Biological score. | 2 year | No |
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