The prevalence of gestational diabetes mellitus (GDM) has been increasing worldwide, as has the economic cost associated with this condition. GDM threatens the health of the mother and child, and thus proper monitoring and management are essential. Mobile healthcare services have been applied to manage some diseases, particularly chronic diseases. We aimed to evaluate the utility of a mobile application in nutritional intervention by observing cases of a mobile application in a series of patients with GDM. We provided a mobile-based intervention to GDM patients and collected biochemical and nutritional information. The mobile-based nutritional intervention was effective in controlling carbohydrate intake and improving blood glucose level for patients with GDM.
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Maternal nutritional status during pregnancy will affect the outcomes for the mother and the newborn. Maternal diet was assessed in 150 pregnant women during the first trimester of pregnancy by a 168-item food frequency questionnaire. Dietary patterns were explored by Factor analysis, and association of patterns with maternal and neonatal outcomes such as gestational diabetes mellitus (GDM), anemia and anthropometric indices were determined by analysis of variance and linear regression analysis. Three major dietary patterns were identified: 1) High Carbohydrate-Lower Fat (mean age, 27.67 ± 6.1; n = 34), 2) High Carbohydrate-Higher Fat (27.70 ± 4.1; n = 55), and 3) High Fiber (29.27 ± 5.8; n = 61). A significant difference was observed between maternal dietary patterns (p < 0.01) for GDM, while it was not significant for anemia. Also, the number of preterm and low birth weight (LBM) infants as well as mean weight, height and head circumference of the infants did not differ significantly between patterns, but there was a significant difference between the maternal dietary patterns about the number of macrosomic babies, which was higher in the second (n = 9) and third (n = 9) dietary patterns (p < 0.01). After adjusting for mothers' age, disease history, disease status, and energy intake, High Carbohydrate-Lower Fat dietary pattern was more associated with GDM than crude model (p = 0.01 vs. p = 0.02). The present study indicated a significant relationship between maternal dietary patterns before pregnancy and GDM and fetal macrosomia.
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Development of Obesity: The Driver and the Passenger
Gestational diabetes mellitus (GDM) is an impaired fasting glucose condition during pregnancy. Adiponectin is a polypeptide hormone that is extensively released by adipocytes which regulates energy homeostasis and carbohydrate and lipid metabolism. In addition, adiponectin has antidiabetic and anti-inflammatory properties. The aim of our research was to study about the relationship of adiponectin levels to GDM and glucose intolerance. We selected 25 GDM women and 35 healthy pregnant subjects (18–46 years) who were screened between 24 and 28 weeks of gestation based on the result of oral glucose tolerance test (OGTT). We designed a case-control study and measured the concentrations of serum adiponectin and compared the concentrations between the groups. Serum adiponectin concentration was measured using enzyme-linked immunosorbent assay (ELISA). Sociodemographic data were collected by personal interview. Serum adiponectin concentrations were significantly lower in the subjects with GDM (5.10 ± 2.15 ng/mL vs. 7.86 ± 3.52 ng/mL, p = 0.001) than in healthy pregnant subjects. The mean concentration of fasting blood glucose was considerably lower in control subjects (86.9 ± 9.0 mg/dL vs. 175.9 ± 20.1 mg/dL, p < 0.001) in comparison to GDM subjects. Our findings showed that serum concentrations of adiponectin were significantly lower in gestational diabetic women and this may help to predict the risk of GDM.
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Gestational diabetes mellitus (GDM) is described as glucose intolerance diagnosed during pregnancy. Increased oxidative stress has implicated in diabetic problems. The aim of the current study was to compare antioxidant capacity and antioxidant nutrient intake between women with GDM (n = 40) and healthy pregnant women (n = 40). Demographic and obstetrics data were completed using interview technique and dietary intakes by using a semi-quantitative food frequency questionnaire (FFQ) with 168 items. The total antioxidant capacity (TAC) of serum was assessed by double-antibody sandwich enzyme-linked immune-sorbent assay (ELISA) method. Multivariate logistic regression was performed to compare independent variables and other potential risk factors between 2 groups. The results showed that TAC concentration of serum in women with GDM was significantly lower than in healthy pregnant women (2.3 ± 0.7 vs. 3.7 ± 0.1 µmol/L, p < 0.001). Intakes of vitamin E (11.8 + 3.1 vs. 16.2 + 3.1 mg, p < 0.001), selenium (81 ± 26 vs. 95 ± 36 µg, p < 0.05) and zinc (7.4 ± 1.9 vs. 9.1 ± 1.7 mg, p < 0.001) were significantly lower in women with GDM as compared to healthy pregnant women. In contrast, the groups showed no significant difference in vitamin C, β-carotene, selenium, fruit, and vegetable intake. Our findings showed that antioxidant capacity is lower in women with GDM, possibly related to lower intakes of vitamin E and zinc.
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The aim of this study was to examine dietary pattern, nutritional intake, and diet quality of Korean pregnant women with gestational diabetes mellitus (GDM). Between October 2008 and May 2012, 166 pregnant women diagnosed with GDM completed a questionnaire and dietary intake was assessed using a 3-day food record. Blood pressure, fasting plasma glucose, and glycated hemoglobin (HbA1c) concentrations were measured and oral glucose tolerance test (OGTT) was performed. Two major dietary patterns ("carbohydrate and vegetable" and "western" patterns) were identified through factor analysis. Dietary pattern scores for each dietary pattern were categorized into tertiles. The dietary quality index-international (DQI-I) was used to measure overall diet quality. Subjects with higher carbohydrate and vegetable pattern scores reported less physical activity (p < 0.05) and have higher diastolic blood pressure levels (p = 0.05). After adjusting for age and energy intake, higher carbohydrate and vegetable pattern scores were associated with higher sodium intakes (p = 0.02), but lower intakes of fat (p = 0.002) and other micronutrients. On the other hand, higher western pattern scores were associated with higher fat intake (p = 0.0001), but lower intakes of sodium (p = 0.01) and other micronutrients. Higher scores for both dietary patterns were associated with lower scores in the moderation category of the DQI-I (p < 0.0001). HbA1c and fasting plasma glucose levels were significantly lower among participants with high DQI-I than those with low DQI-I (p < 0.05). The study findings suggest that many Korean women with GDM do not consume nutritionally adequate or balanced diets, regardless of dietary pattern.
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Adequate intake of nutrients by pregnant women diagnosed with gestational diabetes mellitus (GDM) or type 2 diabetes (T2DM) is very important for appropriate weight gain and maintenance of normoglycemia without ketonuria. The aim of this study was to investigate the nutritional intake of pregnant women with GDM or T2DM who had not been provided with nutritional education regarding blood glucose management. Between June 2008 and May 2010, 125 pregnant women who had been diagnosed with GDM or T2DM and had not received any nutrition education regarding glycemic control and proper diet during pregnancy were interviewed to collect data regarding background characteristics, health-related behaviors, and course of pregnancy and instructed to record their dietary intake using a 24-hour recall method for one day. Using the collected data, the index of nutritional quality, nutrient adequacy ratio, and mean adequacy ratio values of the subjects were calculated. Analysis of the values indicated that the majority of the subjects did not meet recommended intake levels for most micronutrients and consumed an undesirable ratio of macronutrients, specifically a higher percentage of total carbohydrates than the current recommendation level. The GDM and T2DM groups obtained 56.6% and 63.6%, respectively (p = 0.012), of their calories by carbohydrate intake, which exceeded the recommended levels (125.8% in GDM groups, 141.3% in T2DM groups).
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This study was performed to identify dietary behavior such as snack consumption, night-eating and nutrients intake associated with gestational diabetes mellitus (GDM). The study was conducted on 219 normal glucose tolerance (NGT) subjects and 44 GDM subjects by using a questionnaire including dietary behavior, food frequency and 3-day food record. The mean age, OGTT, and delivery weight of GDM subjects were statistically higher than those in NGT. A larger proportion of NGT subjects consumed black coffee (49.8%) while the majority of GDM subjects (61.4%) drank mixed coffee with sugar and cream. Dairy products were the most frequently consumed snack item in NGT subjects (40.7%), while fruits were most frequently consumed food item in GDM subjects (34.4%). Many of NGT subjects (49.8%) answered that they hardly took night-eating snacks whereas most of GDM subjects (61.4%) took night-eating snacks more than once a week. For change of taste preference, the proportion of NGT subjects who showed less preference for salty taste (33.3%) or greasy taste (16.9%) was higher than that of GDM subjects (11.4%). Nutrient intakes of energy, fat, cholesterol, saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), carbohydrate, vitamin B1, vitamin B2, vitamin C, and vitamin E in GDM group were significantly higher than those in NGT group. Nutrient densities of SFA and vitamin C in GDM group were higher and nutrient density of calcium was lower than those in NGT group. Taken together, it is recommended to reduce night-eating snack and choose less salty and fatty foods, black-coffee rather than coffee with cream and sugar, and more dairy products to prevent GDM.
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