• Korean Journal of Health Education and Promotion
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• v.33 no.3
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• pp.25-35
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• 2016

Objectives: The purpose of this study is to determine the fatigue, self-esteem, and depression of pregnant women with gestational diabetes mellitus (G-DM), and to reveal associated factors of depression. Methods: As a descriptive correlation study, data was collected from 119 pregnant women with G-DM. Data was analysed using t-test, ANOVA, and stepwise multiple regression. Results: Fatigue, self-esteem, and depression averaged $2.09{\pm}.62$ (range of scale 1~4), $2.63{\pm}.32$ (range of scale 1~6), and $0.45{\pm}.25$ (range of scale 0~3), respectively. The depression varied with a statistical significance according to the age (p=.008), employment (p=.014), child (p=.034), and physical and psychological adjustment of pregnancy (p<.001). We also identified fatigue as the most influencing factor and the physical and psychological adjustment of pregnancy as the second most influencing factor, self-esteem as the third, age as the fourth, and child as the influencing factor on the G-DM women's depression. Conclusions: This research provided a valuable opportunity to recognize G-DM as a personal, and societal problem, which calls for relational support as well as personal support. The healthcare providers need to recognize the emotional aspects of the women with G-DM, and make various efforts to promote the physical and psychological health of the G-DM patients.

• Women's Health Nursing
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• v.27 no.2
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• pp.75-92
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• 2021

Purpose: This study aimed to analyze the content and effectiveness of psychosocial support interventions for women with gestational diabetes mellitus (GDM). Methods: The following databases were searched with no limitation of the time period: Ovid-MEDLINE, Cochrane Library, Ovid-Embase, CINAHL, PsycINFO, NDSL, KoreaMed, RISS, and KISS. Two investigators independently reviewed and selected articles according to the predefined inclusion/exclusion criteria. ROB 2.0 and the RoBANS 2.0 checklist were used to evaluate study quality. Results: Based on the 14 selected studies, psychosocial support interventions were provided for the purpose of (1) informational support (including GDM and diabetes mellitus information; how to manage diet, exercise, stress, blood glucose, and weight; postpartum management; and prevention of type 2 diabetes mellitus); (2) self-management motivation (setting goals for diet and exercise management, glucose monitoring, and enhancing positive health behaviors); (3) relaxation (practicing breathing and/or meditation); and (4) emotional support (sharing opinions and support). Psychosocial supportive interventions to women with GDM lead to behavioral change, mostly in the form of self-care behavior; they also reduce depression, anxiety and stress, and have an impact on improving self-efficacy. These interventions contribute to lowering physiological parameters such as fasting plasma glucose, glycated hemoglobin, and 2-hour postprandial glucose levels. Conclusion: Psychosocial supportive interventions can indeed positively affect self-care behaviors, lifestyle changes, and physiological parameters in women with GDM. Nurses can play a pivotal role in integrative management and can streamline the care for women with GDM during pregnancy and following birth, especially through psychosocial support interventions.

• Genomics & Informatics
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• v.10 no.4
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• pp.239-243
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• 2012

Gestational diabetes mellitus (GDM) is a complex metabolic disorder of pregnancy that is suspected to have a strong genetic predisposition. It is associated with poor perinatal outcome, and both GDM women and their offspring are at increased risk of future development of type 2 diabetes mellitus (T2DM). During the past several years, there has been progress in finding the genetic risk factors of GDM in relation to T2DM. Some of the genetic variants that were proven to be significantly associated with T2DM are also genetic risk factors of GDM. Recently, a genome-wide association study of GDM was performed and reported that genetic variants in CDKAL1 and MTNR1B were associated with GDM at a genome-wide significance level. Current investigations using next-generation sequencing will improve our insight into the pathophysiology of GDM. It would be important to know whether genetic information revealed from these studies could improve our prediction of GDM and the future development of T2DM. We hope further research on the genetics of GDM would ultimately lead us to personalized genomic medicine and improved patient care.

• Biomedical Science Letters
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• v.14 no.4
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• pp.233-238
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• 2008

Gestational diabetes mellitus (GDM) is a common complication during pregnancy and one of the main causes of adverse fetal-maternal outcomes. However, the pathogenesis of GDM has not been clearly stated. Adiponectin, an adipose tissue-derived plasma protein, is involved in regulation of insulin resistance and glucose hemostasis, and thus is a key modulator of insulin action and glucose metabolism. In this study, we investigated to compare serum adiponectin levels in pregnant women with diabetes, pregnant women who are without diabetes, and non-pregnant women, and to evaluate relationship between serum adiponectin. levels and metabolic parameters. Forty-one pregnant women with diabetes, fifty-nine pregnant women without diabetes and forty non-pregnancy women were recruited. Adiponectin levels were significantly lower in pregnant women with diabetes when compared to non-pregnant women and pregnant women without diabetes. Pregnant women without diabetes at second trimester had lower adiponectin levels compared to non-pregnant women. Adiponectin was negatively correlated with BMI, fasting insulin, HOMA-IR, total cholesterol, and triglyceride. In conclusion, this study confirmed that the decreased level of adiponectin precedes the onset of abnormal glucose level during pregnancy and also normal pregnant women had lower adiponectin levels compared to non-pregnant women. This knowledge may help to identify strategies for lowering the occurrence of GDM in women who are at high risk of developing the disorder.

• Preventive Nutrition and Food Science
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• v.2 no.3
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• pp.225-231
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• 1997

Thirteen healthy control, 13 pre-eclamptic, 7 diabetic(DM) and 12 gestational diabetic(GDM) pregnant women participated in a study ofthe interrelationships between the levels of protein, calcium, magnesium, phosphorus, zinc and copper in urine. Urinary protein, magnesium and copper levels were significantly higher (p<0.0005, p<0.0003, p<0.005 respectively) in pre-eclamptic women than those of control, DM and GDM women. Urinary zinc excretion in pre-eclamptic women (1.61 mg/g creatinine) was higher than that of DM women (0.81mg/g creatinine); urinary zinc losses of control and GDM women were wre between the other two rups. The GDM women excreted significantly ore phosphorus in their urine in comparison to control and preeclamptic women (p<0.02), but this was not seen in DM women. Among the DM women, urinary protein excretion was positively correlated with glycosylated hemoglobin(r=0.940) and fasting blood glucose concentration (r=0.889). Urinary zinc excretion also was correlated with glycosylated hemoglobin (r=0.853) and fasting blood glucose (r=0.956). In the GDM and pre-eclamptic women there were also significant correlations between urinar calcium and magnesium (r=0.857, r=0.749 respectively) and between urinary protein and copper(r=0.638, r=0.778 respectively).

• Nutrition Research and Practice
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• v.16 no.1
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• pp.120-131
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• 2022

BACKGROUND/OBJECTIVES: Low early pregnancy serum 25-hydroxy vitamin D (25[OH]D) levels can increase gestational diabetes mellitus (GDM) risk, although inconsistent findings related to that association have been reported. This study examined the association of serum vitamin D with GDM and the possible influencers on this association. SUBJECTS/METHODS: This study included 259 pregnant women within the Seremban Cohort Study (SECOST). Blood samples at < 14 weeks of gestation were drawn to determine serum 25(OH)D levels. GDM diagnosis was made at 24 to 32 weeks of gestation using a standard procedure. Association between serum vitamin D and GDM was tested using binary logistic regression. RESULTS: Nearly all women (90%) had mild (68.3%) or severe (32.2%) vitamin D deficiency (VDD). Non-GDM women with mild VDD had a significantly higher mean vitamin D intake than GDM women with mild VDD (t = 2.04, p < 0.05). Women with higher early pregnancy serum vitamin D levels had a greater risk of GDM. However, this significant association was only identified among those with a family history of type 2 diabetes mellitus (T2DM) and in women with a body mass index indicating overweight or obese status. CONCLUSIONS: The high prevalence of VDD in this sample of pregnant women underscores the need for effective preventive public health strategies. Further investigation of this unexpected association between serum vitamin D level and GDM risk in predominantly VDD pregnant women and the potential effects of adiposity and family history of T2DM on that association is warranted.

• Women's Health Nursing
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• v.27 no.4
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• pp.358-367
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• 2021

Purpose: This study aimed to identify factors associated with diabetes management self-efficacy in pregnant women with gestational diabetes mellitus (GDM) in Korea. Methods: A total of 173 pregnant women with GDM in Korea were recruited by posting announcements at two Korean online communities focusing on pregnancy and GDM. Participants completed a structured online survey from July to September 2018. Thirteen inappropriate responses were excluded and a total of 160 questionnaires were used in the final analysis. Descriptive statistics were calculated and multiple regression with the enter method was done to identify the associations of depressive mood, anxiety, emotional intelligence, and sleep quality with diabetes management self-efficacy. Results: Respondents reported a moderately depressive mood (mean, 10.36), low to moderate anxiety (mean, 41.65), above-average emotional intelligence (mean, 78.04), moderate sleep quality (mean, 42.01), and above-average diabetes management self-efficacy (mean, 52.29). The major factor associated with diabetes management self-efficacy of pregnant women with GDM was emotional intelligence (β=.51, p<.001). Other factors, in descending order of influence, were sleep quality (β=.22, p<.001) and exercise (β=.18, p=.004). Taken together, the aforementioned factors explained 34.6% (F=39.53, p<.001) of the total variance. Conclusion: The results of this study suggest that to improve the diabetes management self-efficacy of pregnant women with GDM, it is necessary to develop an education program that can also enhance emotional intelligence, sleep quality, and exercise.

• 대한예방의학회:학술대회논문집
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• 1999.10a
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• pp.161-162
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• 1999

• Journal of radiological science and technology
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• v.40 no.1
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• pp.35-40
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• 2017

The purpose of this study was to investigate the relationship between abdominal subcutaneous fat thickness(ASFT) and maternal gestational diabetes mellitus(GDM) measured by ultrasound at period of pregnancy. We compared maternal age, pre-pregnancy body mass index, and weight gain during pregnancy in 286 pregnant women who were diagnosed with early pregnancy ASFT and high GDM screening test(50 g OGTT) of more than 140 mg/dL. ROC curve analysis was used to determine the cut-off value of ASFT for GDM prediction. Maternal age and weight gain during pregnancy were not related to GDM in the mid-trimester and pre-pregnancy body mass index and earely pregnancy ASFT were significantly different between normal and GDM high risk groups. The cut-off value of ASFT for GDM prediction was 2.23 cm(AUC 0.913. Sensitivity 76.19%, Specificity 93.72%). ASFT measured by ultrasound in early pregnancy was useful as an important index for predicting mid-trimester GDM prediction. Therefore, ASFT can be used as an auxiliary diagnostic index for early recognition of GDM.

• The Korean journal of internal medicine
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• v.33 no.6
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• pp.1143-1149
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• 2018

Background/Aims: The purpose of this study was to compare maternal and neonatal outcomes in Korean women with type 2 diabetes and nondiabetic controls. Methods: We performed a retrospective survey of 200 pregnancies in women with type 2 diabetes (n = 100) and nondiabetic controls (n = 100) who delivered from 2003 to 2010 at Cheil General Hospital & Women's Healthcare Center, Korea. We compared maternal characteristics as well as maternal and neonatal outcomes between groups matched by age, pre-pregnancy weight, body mass index, parity, and gestational age at delivery. Results: The number of infants that were small for gestational age and the rate of major congenital malformations were not significantly different. However, women with type 2 diabetes showed a slightly higher risk for primary caesarean section (35.0% vs. 18.0%, p = 0.006) as well as pre-eclampsia (10.0% vs. 2.0%, p = 0.017), infections during pregnancy (26.0% vs. 2.0%, p < 0.001), neonatal weight ($3,370{\pm}552.0$ vs. $3,196{\pm}543.3$, p = 0.025), large for gestational age (22.0% vs. 9.0%, p = 0.011), and macrosomia (15.0% vs. 5.0%, p = 0.018) compared to nondiabetic controls. Conclusions: Maternal and neonatal outcomes for women with type 2 diabetes were worse than those for nondiabetic controls. Diabetic women have a higher risk for primary caesarean section, pre-eclampsia, infections during pregnancy, large neonatal birth weight, large for gestational age, and macrosomia.