Carbohydrate Counting and DASH Intervention and Pregnancy Outcomes Among Women With Gestational Diabetes
Studying the Effectiveness of Carbohydrate Counting and Dietary Approach to Stop Hypertension Dietary Intervention on Glycemic Control and Maternal and Newborn Health Outcomes Among Jordanian Pregnant Women With Gestational Diabetes
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Sabika S Allehdan, Msc
- Phone Number: +962799232789
- Email: sabika_1986@yahoo.com
Study Contact Backup
- Name: Reema F Tayyem, PhD
- Phone Number: +962797902535
- Email: r_tayyem@yahoo.com
Study Locations
-
-
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Amman, Jordan, 009626
- Recruiting
- Sabika Allehdan
-
Contact:
- Sabika Allehdan, MSc
- Phone Number: 799232789
- Email: sabika_1986@Yahoo.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Jordanian pregnant women with GDM at 24 -28 gestational weeks.
- Aged 25-40 with no-personal history of type 1 or 2 diabetes, or impaired fasting glucose (Koivusalo et al., 2016).
- Singleton gestation (Louie et al., 2011).
- Absence of chronic diseases such as hypertension, hepatic and kidney disease and cancer, and psychiatric disorder (Ma et al., 2014).
- Absence of the use of medication that influences glucose metabolism, such as continuous therapy with oral corticosteroids (Koivusalo et al., 2016)
- Pregnant women who do not have special dietary requirements (Louie et al., 2011).
Nonsmoker or nonalcoholic drinker during pregnancy (Louie et al., 2011) Well educated and well cooperative, more than 10 years of formal schooling (Ma et al., 2014).
Exclusion Criteria:
- Non- Jordanian pregnant women or Jordanian pregnant women with GDM at <24 or >28 gestational weeks.
- Aged > 40 years with multiple gestation and suspected over-diabetes (Koivusalo et al., 2016).
- Multiple gestations (Louie et al., 2011).
- Presence of chronic diseases, severe psychiatric disorder. Women with the risk factors for placental insufficiency, or history of preeclampsia (Ma et al., 2014; Koivusalo et al., 2016).
- Presence of the use of medication that influences glucose metabolism, such as continuous therapy with oral corticosteroids (Koivusalo et al., 2016)
- Pregnant women who have special dietary requirements (Louie et al., 2011).
- Who smoked or consumed alcohol during pregnancy (Louie et al., 2011)
- Less than 10 years of formal schooling or previous intensive nutrition education or intervention for diabetes (Ma et al., 2014).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Dietary intervention CHO counting
Carbohydrate counting diet will be prepared according to Kulkarni, (2005).
Tailored diet plans according to patient's food preference, physical activity level and appropriate insulin: Carbohydrates ratio will be prescribed for each participants.
Diets were based on each participants's recommended intakes of energy, protein (15-25%), fat (30-40%) and carbohydrate (40-50%) (Thomas and Gutierrez, 2005; Kleinwechter et al., 2014).
Energy requirement will be determined in the participants' pre-pregnancy weight with adding the extra requirement (450 kcal) due to pregnancy.
The carbohydrate counts will be distributed into three main meals and 3 snacks.
|
Adjusting the quantity and quality of food intake to improve glycemic control, maternal and newborn health outcomes of women with gestational diabetes.
Other Names:
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|
Experimental: Dietary intervention CHO Counting & DASH
The recommended intakes of energy, protein (15-25%), fat (30-40%) and carbohydrate (40-50%) will be similar to that in carbohydrate counting diet which mentioned above.
DASH diet food choices will be inserted in the diet of the participants assigned for the combined diet of DASH and carbohydrate counting.
The emphasis will be more on the fruits and vegetables group (>8 servings/day), whole grains (at least half of the amount of the total servings of cereals; 6-8 servings/day), fat free dairy products (2-3 servings/day), lean meat and plant proteins (0-2 servings/day) and nuts (5-7 servings/week).
From the fat group olive oil will represent the main type of fat (20-25% of total fat %).
Adequate intake of sodium (2000mg) will be applied into participants' diet.
|
Adjusting the quantity and quality of food intake to improve glycemic control, maternal and newborn health outcomes of women with gestational diabetes.
Other Names:
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No Intervention: General Dietary guidlines
the general dietary advice and diet that will be prescribed by hospital for participants
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Fasting blood glucose
Time Frame: one year
|
Fasting blood glucose in mg/dL at 24 -28 weeks of gestation (baseline) and at 36-37) weeks of gestation(endline) of intervention.
|
one year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Hemoglobin A1c level
Time Frame: one year
|
Hemoglobin A1c% at both baseline and endline of intervention
|
one year
|
|
Fasting insulin level
Time Frame: one year
|
Fasting insulin level in µIU/mL at both baseline and endline of intervention.
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one year
|
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Fructosamine level
Time Frame: one year
|
fructosamine in µmol/L at both baseline and endline of intervention.
|
one year
|
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Total maternal weight gain
Time Frame: one year
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Total maternal weight gain during pregnancy in kilograms
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one year
|
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Weekly weight gain
Time Frame: one year
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weight in kilogram will be measured weekly for all participants
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one year
|
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Insulin Therapy
Time Frame: one year
|
Number of participants who need insulin therapy to normalize blood sugar.
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one year
|
|
Emergency caesarean section
Time Frame: one year
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Number of participants who need for emergency caesarean section versus vaginal delivery.
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one year
|
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Pregnancy-induced hypertension
Time Frame: one year
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Number of participants with existence of hypertension (defined as a blood pressure of at least 140/90 mmHg on two occasions).
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one year
|
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Newborn weight
Time Frame: one year
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The newborn weight in grams
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one year
|
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Newborn Length
Time Frame: one year
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The new born length in centimeters.
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one year
|
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Newborn head circumference
Time Frame: one year
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The newborn head circumference in centimeters.
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one year
|
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Hypoglycemic
Time Frame: one year
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Number of newborn babies who will suffer from hypoglycemia
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one year
|
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Shoulder dystocia
Time Frame: one year
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Number of newborn babies with shoulder dystocia.
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one year
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Reema F Tayyem, PhD, University of Jordan
Publications and helpful links
General Publications
- Kulkarni DK. Carbohydrate counting: A practical meal-planning option for people with diabetes. Clinical Diabetes 23:120-22, 2005.
- Koivusalo SB, Rono K, Klemetti MM, Roine RP, Lindstrom J, Erkkola M, Kaaja RJ, Poyhonen-Alho M, Tiitinen A, Huvinen E, Andersson S, Laivuori H, Valkama A, Meinila J, Kautiainen H, Eriksson JG, Stach-Lempinen B. Erratum. Gestational Diabetes Mellitus Can Be Prevented by Lifestyle Intervention: The Finnish Gestational Diabetes Prevention Study (RADIEL). A Randomized Controlled Trial. Diabetes Care 2016;39:24-30. Diabetes Care. 2017 Aug;40(8):1133. doi: 10.2337/dc17-er08a. Epub 2017 Jun 14. No abstract available.
- Ma WJ, Huang ZH, Huang BX, Qi BH, Zhang YJ, Xiao BX, Li YH, Chen L, Zhu HL. Intensive low-glycaemic-load dietary intervention for the management of glycaemia and serum lipids among women with gestational diabetes: a randomized control trial. Public Health Nutr. 2015 Jun;18(8):1506-13. doi: 10.1017/S1368980014001992. Epub 2014 Sep 15.
- Louie JC, Markovic TP, Perera N, Foote D, Petocz P, Ross GP, Brand-Miller JC. A randomized controlled trial investigating the effects of a low-glycemic index diet on pregnancy outcomes in gestational diabetes mellitus. Diabetes Care. 2011 Nov;34(11):2341-6. doi: 10.2337/dc11-0985. Epub 2011 Sep 6.
- Thomas, A. M. and Gutierrez, Y.M. (2005), American Dietetic Association guide to gestational diabetes mellitus. Chicago, IL: American Dietetic Association. Received from http://www.eatright.org/Public/ProductCatalog/ SearchableProducts/104_20728.cfm. Accessed 23 January 2016.
- Kleinwechter H, Schafer-Graf U, Buhrer C, Hoesli I, Kainer F, Kautzky-Willer A, Pawlowski B, Schunck K, Somville T, Sorger M; German Diabetes Association; German Association for Gynaecology and Obstetrics. Gestational diabetes mellitus (GDM) diagnosis, therapy and follow-up care: Practice Guideline of the German Diabetes Association(DDG) and the German Association for Gynaecologyand Obstetrics (DGGG). Exp Clin Endocrinol Diabetes. 2014 Jul;122(7):395-405. doi: 10.1055/s-0034-1366412. Epub 2014 Jul 11. No abstract available.
- Allehdan S, Basha A, Hyassat D, Nabhan M, Qasrawi H, Tayyem R. Effectiveness of carbohydrate counting and Dietary Approach to Stop Hypertension dietary intervention on managing Gestational Diabetes Mellitus among pregnant women who used metformin: A randomized controlled clinical trial. Clin Nutr. 2022 Feb;41(2):384-395. doi: 10.1016/j.clnu.2021.11.039. Epub 2021 Dec 3.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2 (Other Identifier: Instituto Cardiovascular de Buenos Aires)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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