Bibliographies thématiques / Exercise, Gestational diabetes mellitus

Littérature scientifique sur le sujet « Exercise, Gestational diabetes mellitus »

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Publié le 11 mars 2023

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Articles de revues sur le sujet "Exercise, Gestational diabetes mellitus"

Padayachee, Cliantha. « Exercise guidelines for gestational diabetes mellitus ». World Journal of Diabetes 6, n^o 8 (2015) : 1033. http://dx.doi.org/10.4239/wjd.v6.i8.1033.

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Begum, SA, R. Afroz, Q. Khanam, A. Khanom et TS Choudhury. « Diabetes Mellitus and Gestational Diabetes Mellitus ». Journal of Paediatric Surgeons of Bangladesh 5, n^o 1 (30 juin 2015) : 30–35. http://dx.doi.org/10.3329/jpsb.v5i1.23887.

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Diabetes mellitus (DM), also known as simply diabetes, is a group of metabolic diseases in which there are high blood sugar levels over a prolonged period. Worldwide in 2012 and 2013 diabetes resulted in 1.5 to 5.1 million deaths per year, making it the 8th leading cause of death. Diabetes overall at least doubles the risk of death. This high blood sugar produces the symptoms of frequent urination, increased thirst, and increased hunger. Untreated, diabetes can cause many complications. Acute complications include diabetic ketoacidosis and nonketotic hyperosmolar coma. Serious long-term complications include heart disease, stroke, kidney failure, foot ulcers and damage to the eyes. The number of people with diabetes is expected to rise to 592 million by 2035. The economic costs of diabetes globally were estimated in 2013 at $548 billion and in the United States in 2012 $245 billion. [3]Globally, as of 2013, an estimated 382 million people have diabetes worldwide, with type 2 diabetes making up about 90% of the cases. This is equal to 8.3% of the adults population, with equal rates in both women and men. There are three main types of diabetes mellitus: In case of type 1 Diabetes mellitus, results from the bodys failure to produce enough insulin. This form was previously referred to as insulin-dependent diabetes mellitus (IDDM) or juvenile diabetes. The cause is unknown. Another type is type 2 diabetes mellitus begins with insulin resistance, a condition in which cells fail to respond to insulin properly. As the disease progresses a lack of insulin may also develop. This form was previously referred to as non insulin-dependent diabetes mellitus (NIDDM) or adult-onset diabetes. The primary cause is excessive body weight and not enough exercise. Gestational diabetes is the third main form and occurs when pregnant women without a previous history of diabetes develop a high blood glucose level. Gestational diabetes usually resolves after the birth of the baby. It occurs in about 210% of all pregnancies and may improve or disappear after delivery. However, after pregnancy approximately 510% of women with gestational diabetes are found to have diabetes mellitus, most commonly type 2. Gestational diabetes is fully treatable, but requires careful medical supervision throughout the pregnancy.J. Paediatr. Surg. Bangladesh 5(1): 30-35, 2014 (January)

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Laredo-Aguilera, José Alberto, María Gallardo-Bravo, Joseba Aingerun Rabanales-Sotos, Ana Isabel Cobo-Cuenca et Juan Manuel Carmona-Torres. « Physical Activity Programs during Pregnancy Are Effective for the Control of Gestational Diabetes Mellitus ». International Journal of Environmental Research and Public Health 17, n^o 17 (24 août 2020) : 6151. http://dx.doi.org/10.3390/ijerph17176151.

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Gestational diabetes mellitus has an incidence of 14% worldwide and nursing is responsible for its monitoring during pregnancy. Excessive weight gain during pregnancy is directly related to gestational diabetes mellitus development. Gestational diabetes mellitus (GDM) has negative repercussions on the evolution of the pregnancy and the fetus. The objective of this systematic review is to establish how physical activity influences pregnant women with gestational diabetes mellitus and to analyze what benefits physical activity has in the control of gestational diabetes mellitus. A systematic search was carried out in different databases (Cochrane, Superior Council of Scientific Investigations (CSIC), EBSCOhost, Pubmed, Scopus, Web os Science, and Proquest) for papers published within the last 12 years, taking into account different inclusion and exclusion criteria. Six randomized controlled studies and one observational case-control study of a high quality were selected. Fasting, postprandial glucose and HbcA1 were assessed, as well as the requirement and amount of insulin used. Thus, there is a positive relationship between the performance of physical activity and the control of gestational diabetes mellitus. Resistance, aerobic exercise, or a combination of both are effective for the control of glucose, HbcA1, and insulin. Due to the variability of the exercises of the analyzed studies and the variability of the shape of the different pregnant women, it does not permit the recommendation of a particular type of exercise. However, any type of physical activity of sufficient intensity and duration can have benefits for pregnant women with GDM. Pregnant women with gestational diabetes mellitus should exercise for at least 20–50 min a minimum of 2 times a week with at a least moderate intensity.

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Sun, Ruoyao. « The Harm and Prevention and Control of Gestational Diabetes Mellitus ». Highlights in Science, Engineering and Technology 19 (17 novembre 2022) : 106–11. http://dx.doi.org/10.54097/hset.v19i.2701.

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Gestational diabetes is one of the challenges that many pregnant mothers face during this particular stage. Gestational diabetes is not only harmful to pregnant women, but also has adverse effects on offspring. Overcoming this difficulty is not so easy, expectant mothers need to control many aspects, from exercise, medication, and diet. This article analyzes the etiology and risk factors of gestational diabetes and makes recommendations based on this. The diet for gestational diabetes should be small and frequent meals, and the corresponding calorie intake should be based on one's body weight. The type of food should be less fat and easy to digest and eat more foods that have a low impact on blood sugar, such as whole grains, beans, cucumbers, and tomatoes. Patients with gestational diabetes are suitable for soothing aerobic exercise. Exercises ideal for pregnant women mainly include yoga, walking, gymnastics, etc. The time for each activity is generally 20 to 30 minutes.

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Pascual-Morena, Carlos, Vicente Martínez-Vizcaíno, Celia Álvarez-Bueno, Diana P. Pozuelo-Carrascosa, Blanca Notario-Pacheco, Alicia Saz-Lara, Rubén Fernández-Rodriguez et Iván Cavero-Redondo. « Exercise vs metformin for gestational diabetes mellitus ». Medicine 98, n^o 25 (juin 2019) : e16038. http://dx.doi.org/10.1097/md.0000000000016038.

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Snapp, Carol. « MATERNAL PHYSICAL EXERCISE AND GESTATIONAL DIABETES MELLITUS ». Journal of Midwifery & ; Women's Health 51, n^o 5 (10 septembre 2006) : 389. http://dx.doi.org/10.1016/j.jmwh.2006.04.016.

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Snapp, Carol A., et Sue K. Donaldson. « Gestational Diabetes Mellitus : Physical Exercise and Health Outcomes ». Biological Research For Nursing 10, n^o 2 (octobre 2008) : 145–55. http://dx.doi.org/10.1177/1099800408323728.

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Purpose: Gestational diabetes mellitus (GDM) is a serious complication of pregnancy associated with increased risk of adverse outcomes for both mother and infant. This study assesses the association of maternal exercise during GDM pregnancy and selected maternal and infant adverse GDM-related outcomes. The analysis uses information derived from the 1988 National Maternal Infant Health Survey (NMIHS) data. Methods: Women in the 1988 NMIHS database were identified and grouped as to having experienced a non-GDM (n = 2,952,482) or GDM (n = 105,600) pregnancy. Non-GDM and GDM groups were compared as to demographic and personal-attribute variables. The second part of this study focused on the women with GDM pregnancy, specifically a subset (n = 75,160) who met inclusion/exclusion criteria for the study of exercise during pregnancy. Each was categorized to either the exercise group or the nonexercise group. Results: The non-GDM and GDM groups of pregnant women were not different as to the variables studied, except that older age and increased body mass index (BMI) were associated with GDM pregnancy. For the study of exercise during GDM pregnancy, the only variable that was associated with the exercise group was size of the infant. Participants in the exercise group were less likely than those in the nonexercise group to have delivered a large for gestational age (LGA) infant (F [1, 4314] = 9.82, p = .0017). Implications: The results of this study suggest that moderate maternal leisure time physical exercise during GDM pregnancy may reduce the risk of delivery of an LGA infant.

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Madhuvrata, P., Gemma Govinden, R. Bustani, S. Song et TA Farrell. « Prevention of gestational diabetes in pregnant women with risk factors for gestational diabetes : a systematic review and meta-analysis of randomised trials ». Obstetric Medicine 8, n^o 2 (2 avril 2015) : 68–85. http://dx.doi.org/10.1177/1753495x15576673.

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Background Gestational diabetes mellitus can be defined as ‘glucose intolerance or hyperglycaemia with onset or first recognition during pregnancy.’ Objective The objective of our systematic review was to see if there was any intervention that could be used for primary prevention of gestational diabetes mellitus in women with risk factors for gestational diabetes mellitus. Search strategy Major databases were searched from 1966 to Aug 2012 without language restriction. Selection criteria Randomised trials comparing intervention with standard care in women with risk factors for gestational diabetes were included. Meta-analysis was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement. The primary outcome assessed was the incidence of gestational diabetes. Data collection and analysis Data from included trials were extracted independently by two authors and analysed using Rev-Man 5. Main results A total of 2422 women from 14 randomised trials were included; which compared diet (four randomised trials), exercise (three randomised trials), lifestyle changes (five randomised trials) and metformin (two randomised trials) with standard care in women with risk factors for gestational diabetes mellitus. Dietary intervention was associated with a statistically significantly lower incidence of gestational diabetes (Odds ratio 0.33, 95% CI 0.14 to 0.76) and gestational hypertension (Odds ratio 0.28, 95% CI 0.09, 0.86) compared to standard care. There was no statistically significant difference in the incidence of gestational diabetes mellitus or in the secondary outcomes with exercise, lifestyle changes or metformin use compared to standard care. Conclusions The use of dietary intervention has shown a statistically significantly lower incidence of gestational diabetes mellitus and gestational hypertension compared to standard care in women with risk factors for gestational diabetes mellitus.

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Dipla, Konstantina, Andreas Zafeiridis, Gesthimani Mintziori, Afroditi K. Boutou, Dimitrios G. Goulis et Anthony C. Hackney. « Exercise as a Therapeutic Intervention in Gestational Diabetes Mellitus ». Endocrines 2, n^o 2 (26 mars 2021) : 65–78. http://dx.doi.org/10.3390/endocrines2020007.

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Gestational Diabetes Mellitus (GDM) is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. Regular exercise is important for a healthy pregnancy and can lower the risk of developing GDM. For women with GDM, exercise is safe and can affect the pregnancy outcomes beneficially. A single exercise bout increases skeletal muscle glucose uptake, minimizing hyperglycemia. Regular exercise training promotes mitochondrial biogenesis, improves oxidative capacity, enhances insulin sensitivity and vascular function, and reduces systemic inflammation. Exercise may also aid in lowering the insulin dose in insulin-treated pregnant women. Despite these benefits, women with GDM are usually inactive or have poor participation in exercise training. Attractive individualized exercise programs that will increase adherence and result in optimal maternal and offspring benefits are needed. However, as women with GDM have a unique physiology, more attention is required during exercise prescription. This review (i) summarizes the cardiovascular and metabolic adaptations due to pregnancy and outlines the mechanisms through which exercise can improve glycemic control and overall health in insulin resistance states, (ii) presents the pathophysiological alterations induced by GDM that affect exercise responses, and (iii) highlights cardinal points of an exercise program for women with GDM.

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Woodside, Ashley, et Heather Bradford. « Exercise and the Prevention of Gestational Diabetes Mellitus ». Nursing for Women's Health 25, n^o 4 (août 2021) : 304–11. http://dx.doi.org/10.1016/j.nwh.2021.05.009.

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Thèses sur le sujet "Exercise, Gestational diabetes mellitus"

Imakawa, Cibele Santini de Oliveira. « Influência do índice de massa corporal sobre a taxa de atividade física de gestantes e puérperas portadoras ou não de diabetes mellitus gestacional ». Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/17/17145/tde-06042018-112419/.

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A prática de atividade física durante a gestação está relacionada a controle de ganho de peso materno, redução de desenvolvimento de distúrbios metabólicos e síndromes hipertensivas. Está indicada também como intervenção importante no tratamento de Diabetes mellitus, distúrbio metabólico mais comum durante a gravidez. Para a orientação de um adequado programa de exercícios físicos durante o período gestacional, torna-se necessário o conhecimento do conjunto de atividades e do gasto energético de cada paciente durante este período da vida da mulher. O Objetivo do trabalho foi avaliar a taxa de atividade física durante o ciclo gravídico-puerperal e a influência do Índice de Massa Corporal (IMC) em mulheres com ou sem Diabetes Mellitus Gestacional (DMG). As pacientes foram estratificadas de acordo com presença ou ausência de diagnóstico de DMG e IMC pré- concepcional, resultando em quatro grupos com 66 participantes cada (grupo de gestação de risco habitual - GRH com IMC adequado, >=18,5 e <= 24,9 kg/m2, e IMC alterado, >= 25 kg/m e grupo com DMG com IMC adequado, >=18,5 e <= 24,9 kg/m2, e IMC alterado, >= 25 kg/m2). As pacientes selecionadas foram submetidas a análise socioeconômica e foi aplicada a versão validada para o português do Questionário de Atividade Física para Mulheres Grávidas-QAFMG (do inglês Pregnancy Physical Activity Questionnaire-PPAQ) para avaliação do nível de atividade física no período pré-gestacional, no terceiro trimestre da gestação e três meses após o parto, que foram expressos em Equivalente Metabólico da Tarefa (do inglês Metabolic Equivalent of Task-MET). Os resultados mostraram que classificaram-se como de etnia branca 54,55% das entrevistadas no grupo DMG - IMC 0; 63,10% no grupo DMG - IMC 1; 60,24% no grupo GRH- IMC 0; 53,25% no grupo GRH - IMC1; como donas de casa 49,35%; 54,76%; 62,65 e 53,25% nos respectivos grupos. Já em estado civil as porcentagens encontradas foram de 80,52%; 89,29%; 75,90% e 80,52%.A variável escolaridade mostrou que 63,03% das gestantes do grupo DMG de IMC 0, 65,48% das gestantes do grupo DMG - IMC 1, 75,90% das gestantes do 8 grupo GRH e IMC 0 e 72,73% das gestantes do grupo GRH e IMC 1 apresentava entre 8 e 11 anos de estudo. A classe econômica mais predominante em todos os grupos foi a C2 em que a renda familiar é de 1.446,24 reais. (DMG - IMC 0 = 40,26%; DMG - IMC 1 = 31,33%; GRH - IMC 0 = 43,90%; GRH - IMC 1 = 38,96%). Ao comparar as médias dos valores de MET´s encontrados na amostra, notou-se que os valores encontrados na avaliação três meses após o parto (representado pelo tempo 2) foram superiores a 1 (1,10 MET para grupo DMG de IMC adequado e 1,06 MET para IMC alterado e no grupo GRH 1,02 MET de IMC adequado e 1,07 MET de IMC alterado). Já nas análises pré-gestacional (tempo 0) e de terceiro trismestre (tempo 1), os valores foram inferiores a 1 MET. Concluiu-se que o nível de atividade física não foi influenciado pelo diagnóstico de DMG e nem pelo IMC pré- gestacional. No entanto, alterou-se de acordo com a evolução temporal, com aumento da atividade física no período pós-parto.
The practice of physical activity during pregnancy is related to the control of weight gain in the mother\'s part, and the reduced development of metabolic disorders and hypertensive syndromes. It is also indicated as an important intervention in the treatment of Diabetes mellitus, the most common metabolic disorder during pregnancy. In order to achieve an adequate program of physical exercises to be done during the gestational period, it becomes necessary the knowledge of a set of activities and the energy expenditure of each patient during this period of a woman\'s life. The goal of this study was to evaluate the rate of physical activity during the pregnancy- postpartum cycle and the influence of the Body Mass Index (BMI) in women with or without Gestational Diabetes Mellitus (GDM). Patients were stratified according to the presence or absence of the GDM diagnosis and their preconception BMI, resulting in four groups with 66 participants in each (group of gestational habitual risk - GHR with normal BMI >=18.5 and <= 24.9 kg/m², and with altered BMI, >= 25 kg/m² and group with GDM, with normal BMI, >=18.5 and <= 24.9 kg/m², and with altered BMI, >= 25 kg/m²). The selected patients were submitted to a socioeconomic analysis and to did the Portuguese-validated version of the Pregnancy Physical Activity Questionnaire (PPAQ) to assess the level of physical activity in the pregestational period, in the third trimester of gestation and three months postpartum, which were expressed in Metabolic Equivalent of Task (MET). The results showed that 54.55% of the interviewees in the GDM - BMI 0 group; 63.10% GDM - BMI 1 group; 60.24% in the GHR-BMI 0 group; 53.25% no GHR - BMI 1 group; as housewives 49.35%; 54.76%; 62.65 and 53.25% in the respective groups. Already in civil status as percentages found were of 80.52%; 89.29%; 75.90% and 80.52%. The educational variable showed that 63.03% of the pregnant women in the GDM - BMI 0 group, 65.48% of the pregnant women in the GDM - BMI 1 group, 75.90% of the pregnant women in the GRH - BMI 0 group and 72.73% of the pregnant women in the GHR - BMI 1 group had between 8 and 11 years of study. The most predominant economic class in all groups for a C2 in which the family income is 1.446,24 reais. (GDM - BMI 0 = 40.26%, DMG - BMI 1 = 31.33%, GHR - BMI 0 = 43.90%, GHR - 10 BMI 1 = 38.96%). When comparing as mean values of METs found in the sample, it was observed that the values found in the evaluation three months after childbirth (represented by time 2) were higher than 1 (1.10 MET for adequate BMI of GDM group 1.06 MET for altered BMI and no GHR 1.02 MET for adequate BMI and 1.07 MET for altered BMI). In the pre-gestational analyses (time 0) and the third trimester (time 1), the values lower than 1 MET.It was concluded that the level of physical activity was not influenced by the diagnosis of GDM neither by the pre-gestational BMI. However, it changed according to a temporal development, with increased physical activity in the postpartum period.

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Bgeginski, Roberta. « Efeito do exercício físico no tratamento de gestantes disgnosticadas com diabetes mellitus gestacional ». reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/139751.

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Introdução: O exercício físico como parte do tratamento do diabetes mellitus gestacional (DMG) pode ajudar na manutenção das concentrações da glicemia de jejum. Objetivos: Conduzir uma revisão sistemática, com metanálise de ensaios clínicos randomizados, para avaliar o efeito do exercício supervisionado e estruturado ou o efeito do aconselhamento de atividade física, em mulheres com DMG, e comparar ao pré-natal usual para o controle da glicemia. Métodos: Os estudos elegíveis foram identificados a partir das bases de dados MEDLINE, EMBASE, Web of Science, Scopus e SportDiscus até 4 de Junho de 2015. Os dados foram extraídos de ensaios clínicos randomizados que compararam o pré-natal usual ao pré-natal usual somado ao exercício supervisionado e estruturado (pelo menos uma vez na semana) ou ao aconselhamento de atividade física, pelas quais os valores de glicemia de jejum pré e pós-intervenção estavam disponíveis. A metanálise de efeitos randômicos foi conduzida para a diferença entre as médias pós-intervenção da glicemia de jejum. Resultados: Foram encontradas 664 publicações, nas quais 82 foram avaliadas pela elegibilidade e oito foram incluídas na análise final. O efeito total do exercício nas concentrações absolutas da glicemia de jejum não foi significativamente diferente (P = 0,11) comparado ao pré-natal usual. Entretanto, o aconselhamento de atividade física comparado ao pré-natal usual demonstrou uma redução significativa nas concentrações da glicemia de jejum (diferença da média ponderada -3,88 mg/dL, 95% CI-7,33 a -0,42; I2, 48%; P para heterogeneidade < 0,15). Conclusão: O exercício supervisionado ou o aconselhamento de atividade física em mulheres com DMG não foi significativamente diferente comparado ao pré-natal usual nas concentrações de glicemia de jejum. Visto que o pré-natal usual inclui algum tipo de recomendação de atividade física, estes resultados não são surpreendentes. O aconselhamento de atividade física com o pré-natal usual inclui modificações da dieta que podem motivar as mulheres com DMG a serem mais ativas e aderentes ao aconselhamento nutricional, enquanto que o exercício estruturado pode ser mais difícil de atingir.
Background: Exercise as part of the treatment for gestational diabetes mellitus (GDM) may help maintain fasting glucose concentrations. Objective: A systematic review with meta-analysis was performed to evaluate the effect of weekly-supervised exercise or physical activity (PA) counseling in GDM women compared to standard care (SC) on glycemic control. Methods: Eligible trials were identified from MEDLINE, EMBASE, Web of Science, Scopus and SportDiscus up to 4 June 2015. Data were retrieved from randomized controlled trials comparing SC with SC plus weekly-supervised (at least once a week) prenatal exercise or PA counseling for which fasting blood glucose (FBG) values pre and post intervention were available. Random-effects meta-analysis was conducted for mean difference in FBG post exercise intervention. Results: Our search yielded 664 publications of which 82 were assessed for eligibility. Eight were analyzed and all were included in the meta-analysis. The overall effect of exercise on absolute FBG concentrations was not different (P=0.11) compared to SC. However, PA counseling versus SC showed a significant reduction in the absolute FBG concentrations (weighted mean difference -3.88 mg/dL, 95% CI-7.33 to -0.42; I2, 48%; P for heterogeneity<0.15). Conclusions: Supervised exercise or PA counseling in GDM women was not significantly different compared to SC on FBG concentrations. Since SC includes some type of PA recommendation, these results are not surprising. PA counseling with SC including dietary modifications may help motivate GDM women to be more active and adherent to nutrition advice, while structured exercise may be more difficult to achieve.

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Opoku, Emeline. « Screening for gestational diabetes mellitus ». Thesis, Буковинський державний медичний університет, 2012. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/1461.

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Rudland, Victoria Louise. « HETEROGENEITY OF GESTATIONAL DIABETES MELLITUS ». Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15872.

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Gestational diabetes mellitus (GDM) is a complex, heterogeneous disorder. As the prevalence of GDM increases, it is increasingly important to identify subgroups of women within the GDM umbrella whose pathophysiology and associated pregnancy risk necessitates a different management approach in order to optimise maternal and neonatal outcomes. Glucokinase maturity-onset diabetes of the young (GCK-MODY) and islet autoimmunity are two such clinical entities. Recently, new pregnancy-specific screening criteria (NSC) for GCK-MODY were proposed to identify women with GDM who warrant GCK genetic testing. We tested the NSC and HbA1c in a multiethnic GDM cohort. The prevalence of GCK-MODY in women with GDM was ~1%. The NSC performed well for Anglo-Celtic women, but less well for women from other ethnic backgrounds. Antepartum HbA1c was not higher in those with GCK-MODY. We report the first two cases of antepartum fetal GCK genotyping and demonstrate how knowledge of fetal GCK genotype guides the management of maternal hyperglycaemia. We examined the prevalence, clinical significance and antepartum to post-partum trajectory of glutamic acid decarboxylase autoantibodies (GADA), insulinoma-associated antigen-2 autoantibodies (IA-2A), insulin autoantibodies (IAA) and zinc transporter 8 autoantibodies (ZnT8A) in a multiethnic GDM cohort. 9.9% of women were positive for one islet autoantibody antepartum. No participant had multiple islet autoantibodies. ZnT8A were the most common islet autoantibody. For women with positive GADA, IA-2A or IAA antepartum, islet autoantibody positivity typically persisted post-partum and 20% of women had post-partum glucose levels consistent with diabetes. In contrast, women with positive ZnT8A antepartum typically demonstrated normal ZnT8A titres post-partum and normal post-partum glucose tolerance. ZnT8A may be a marker for islet autoimmunity in a proportion of women with GDM, but the clinical relevance of ZnT8A in GDM needs further research.

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Khin, May Oo. « Metformin in gestational diabetes mellitus ». Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/77511/.

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Gestational diabetes mellitus (GDM) can affect up to 1 in 5 of pregnancies and is associated with adverse pregnancy outcomes including pre-eclampsia, neonatal hypoglycaemia, large for gestational age, increased adiposity and birth trauma. Good glycaemic control is the key to reduce these outcomes. Diet and lifestyle modification followed by insulin as necessary is the conventional type of management. Metformin is increasingly used in pregancy but with limited evidence, its role in GDM has not been well-established. A systematic review including both randomized and non-randomized controlled studies have been conducted to evaluate the contemporary evidence of metformin in GDM. It is suggested that metformin in GDM could be a useful alternative to insulin and is regarded as the best oral anti-hyperglycaemic agent in GDM management currently. However, almost half of metformin-treated GDM patients required supplementary insulin to achieve target glucose levels (metformin failure). Women with higher metabolic risk factors are likely to develop metformin failure. A clinical cohort of metformin-treated GDM is used to develop the predictive model to identify GDM women who are at risk of metformin failure. It has been found that women identified by new IADPSG and NICE 2015 fasting criteria are highly likely to develop metformin failure. It has also been established a number of algorithm based on various baseline characters of GDM women which will help primary healthcare physicians choose the best medication for GDM management. One of the possible side-effects of metformin includes lowering of serum vitamin B12 levels whereas serum vitamin B12 deficiency during pregnancy which is associated with increased insulin resistance. It is reported that in low vitamin B12 state, offspring’s insulin resistance is found to be higher among women with high folate low B12 state. Hence, in order to fully appreciate the role of vitamin B12 deficiency in metformin failure, it is first necessary to understand the effects of folate in low vitamin B12 condition on pregnancy outcomes in GDM. It has also been found that in normal vitamin B12 GDM women, serum folate levels are negatively associated with plasma glucose levels but not low B12 state. This underlines the fact that in order for folate to have its role, it is important to have normal vitamin B12 levels. Despite increasing use of metformin, it is not yet routine to check vitamin B12 levels before it is given. It is important to understand whether vitamin B12 has a role in metformin action. Thus, the mechanism by which vitamin B12 deficiency might interfere with metformin action was studied. In vitamin B12 deficient hepatocytes, metformin stimulation of AMPK was reduced which was followed by reduced downstream signalling in lipid metabolism. This effects were reversed by vitamin B12 supplementation. Thus, it is concluded that vitamin B12 deficiency could interfere with metformin action and before metformin is given, every GDM woman should be checked for serum vitamin B12 levels and should be supplemented if deficient. Overall, vitamin B12 could play a critical role in GDM management and it is important for every GDM woman to have normal vitamin B12 levels.

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Dias, Stephanie Charmaine. « Investigating Molecular Biomarkers During Gestational Diabetes Mellitus ». Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/73566.

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Introduction: Gestational diabetes mellitus (GDM) is a significant public health concern, due to its association with short- and long-term complications in both mothers and offspring. DNA methylation and single nucleotide polymorphisms (SNPs) offer potential to serve as molecular biomarkers, which may lead to improved detection of GDM with positive effects on health outcomes. Aim: The aim of this study was to investigate whether DNA methylation and SNPs are associated with GDM and may offer potential as molecular biomarkers for GDM in South Africa (SA). Methods: This study followed a two-pronged approach. Firstly, literature searches were conducted to collate and synthesise all published articles reporting on the prevalence of GDM in SA, the screening and diagnostic strategies used, and the current status of DNA methylation and SNPs as biomarkers for GDM. Secondly, we conducted experiments to investigate global (n=201), genome-wide (n=24) and gene-specific DNA methylation (n=286) of the adiponectin gene (ADIPOQ) in whole blood of women with and without GDM, using an Enzyme-Linked Immunosorbent Assay, a methylationEPIC BeadChip Array and pyrosequencing, respectively. In addition, genotype and allele frequencies of ADIPOQ rs266729 and rs17300539, and methylenetetrahydrofolate reductase (MTHFR) rs1801133 were determined, using quantitative real-time PCR (n=449) and DNA sequencing for validation. Results: The literature search showed that the prevalence of GDM in SA has increased over the years. Furthermore, it showed that the lack of uniformity in screening and diagnosis between and within countries hamper the accurate detection of GDM. Lastly, the literature search identified several studies that support the use of DNA methylation and SNPs as potential biomarkers for GDM. Experimentally, we showed no differences in global DNA methylation between GDM and non-GDM groups. Interestingly, global DNA methylation levels were 18% (p=0.012) higher in obese compared to non-obese pregnant women. Genome-wide methylation analysis identified 1046 differentially methylated CpG sites (associated with 939 genes) (Cut-off threshold: M>0.06 and p<0.01). Among the top five CpG sites identified, one CpG mapped to the calmodulin-binding transcription activator 1 (CAMTA1) gene, which has been shown to regulate insulin production and secretion. Two CpG sites (-3410: p=0.048 and -3400: p=0.004) in the ADIPOQ promoter were hypomethylated during GDM in HIV negative, but not in HIV positive women. Lastly, no association between the ADIPOQ and MTHFR polymorphisms and GDM was observed in our population. Conclusion: To our knowledge, this is the first study to investigate the association between DNA methylation or ADIPOQ (rs266729 and rs17300539) and MTHFR (rs1801133) polymorphisms and GDM in SA. Findings suggest that gene-specific, but not global methylation nor SNPs rs266729, rs17300539 and rs1801133, may offer potential as molecular biomarkers of GDM in this population. Future longitudinal studies in larger samples that include both HIV negative and positive pregnant women are warranted to explore the candidacy of DNA methylation as molecular biomarkers for GDM.
Thesis (PhD)--University of Pretoria, 2019.
National Research Foundation (NRF) of South Africa, Thuthuka Grant (unique grant no. 99391).
South African Medical Research Council (SAMRC)
Obstetrics and Gynaecology
PhD
Unrestricted

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Makgoba, Mahlatse. « The epidemiology and prediction of gestational diabetes mellitus ». Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/28573.

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Objectives: To examine the relationship between particular traditional risk factors and their effect on the development of gestational diabetes mellitus (GDM) and birthweight (Part 1) as well as to assess first trimester maternal biochemical predictors of development of GDM (Part 2). Methods: Part 1. A retrospective study of prospectively collected data from fifteen maternity units in North West London between 1988-2000- the St Mary's Maternity Information System (SMMIS) dataset. The dataset was modified to include only those who were nulliparous (thus ensuring that only one pregnancy per woman was included) and excluding women with pre-existing diabetes (thus studying only women who either did or didn't develop gestational diabetes). Birthweight z-scores were calculated. Part 2. A nested case-control study using first-trimester (11+0 to 13+6 weeks of gestation) samples. that were obtained as part of a large prospective observational on-going study aimed at identifying first-trimester predictors of adverse pregnancy outcomes. Maternal levels of lipids (cholesterol, low density lipoprotein cholesterol (LDL), high density lipoprotein cholesterol (HDL), non-fasting triglycerides, C-reactive protein (CRP), γ-glutamyl transferase (γ- GT), adiponectin, E-selectin, tissue plasminogen activator (t-PA) and vitamin D (25(OH)D) were measured. Statistical Package for the Social Sciences (SPSS) Version 17.0 and R (version 2.11.0) was used for statistical analysis. Results Part 1. There was a strong association between advancing maternal age and increasing body mass index (BMI) on the development of GDM (p < 0.01 for both). This varied within each racial group and was more pronounced in Black African and South Asian groups. Using White European women with a BMI of 18.5-24.9 as a reference group, Black African and South Asian pregnant women had higher Odds Ratios (ORs) for GDM development within all BMI categories compared to the reference group. Maternal BMI was positively associated with birthweight z-scores within all racial groups (p < 0.001 for all) irrespective of glycaemic status but its effect was much greater in women with GDM. The difference in birthweight z-scores between GDM and non-GDM women varied according to racial group and was much higher in non-white racial groups and at high rather than at low BMIs. Part 2. Simple maternal demographic and clinical characteristics obtained at the first antenatal visit provide a good prediction of GDM. Low levels of HDL and high levels of t-PA are independent predictors of GDM. (p=0.001 and p < 0.001 respectively). First trimester maternal serum 25(OH)D levels are not associated with the development of GDM. Conclusions Maternal age and BMI interact with racial group in relation to the development of GDM. Both factors are important in the development of GDM, particularly so in Black African and South Asian women. GDM strongly accentuates the effect of BMI on birthweight, especially within non-white populations. First trimester prediction of GDM can be enhanced by the measurement of specific maternal biomarkers.

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Mijatovic, Jovana. « Diet for the Treatment of Gestational Diabetes Mellitus ». Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20651.

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Medical Nutrition Therapy is currently the cornerstone of gestational diabetes mellitus (GDM) management, but conflicting clinical evidence has led to a lack of expert consensus. Low carbohydrate (LC) diets are popular to help lower blood glucose levels but can increase the formation of ketones (beta-hydroxybutyrate, BHB) through increased fat catabolism. While LC diets have been endorsed by endocrine societies for GDM management, findings from a well-designed observational study indicated that high 3rd trimester serum BHB levels negatively impact child intelligence. Our literature search showed a knowledge gap related to the safety of LC diets in GDM. To address this knowledge gap, we conducted a 6-week pilot, 2-arm randomised controlled trial (MAMI 1 study) comparing the effects of a Modestly Lower Carbohydrate diet (MLC, 135 g/d carbohydrate) and Routine Care (RC, 180-200 g/d carbohydrate) on blood BHB levels and GDM outcomes. While there were no differences in BHB levels between study groups (mean ± SEM, MLC 0.1 ± 0.0 vs RC 0.1 ± 0.0 mmol/L; P = 0.308), glycaemia (6.1 ± 0.1 vs 6.0 ± 0.1 mmol/L, P = 0.317) or insulin dose (14.6 ± 1.8 vs 21.2 ± 3.9 units, P = 0.126), food analysis confirmed lower carbohydrate (165 ± 7 vs 190 ± 9 g/d, P = 0.042), energy (7040 ± 240 vs 8230 ± 320 kJ/d, P = 0.006), protein (85 vs 103 g/d, P = 0.006), and micronutrient intake (including iron and iodine) in the MLC group. The most surprising finding was a statistically smaller infant head circumference in the MLC group (33.9 ± 0.1 vs 34.9 ± 0.3 cm; P = 0.046), which remained significant after adjustment for gestational weight gain, gestational age at delivery and infant sex (P = 0.043). Head circumference ranged from the 10-25th percentile in the MLC group and between 25-50th percentile for the RC diet group. Head circumference is a proxy measure for brain volume and development, therefore this finding suggests the need for caution on LC dietary advice in GDM.

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Donovan, Brittney Marie. « Early risk prediction tools for gestational diabetes mellitus ». Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6408.

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Gestational diabetes mellitus (GDM) is the most common metabolic complication in pregnancy and is associated with substantial maternal and neonatal morbidity. The standard of care for GDM in most developed countries is universal mid- to late- pregnancy (24-28 weeks gestation) glucose testing. While earlier diagnosis and treatment could improve pregnancy outcomes, tools for early identification of risk for GDM are not commonly used in practice. Existing models for predicting GDM risk within the first trimester of pregnancy based on maternal risk factors perform only modestly in the clinical setting. Heavy reliance on history of GDM to predict GDM development in the current pregnancy prevents these tools from being applicable to nulliparous women (i.e., women who have never given birth). In order to offer timely preventive intervention and enhanced antenatal care to nulliparous women, we need to be able to accurately identify those at high risk for GDM early in pregnancy. Data from the California Office of Statewide Health Planning and Development Linked Birth File was used to address three aims: 1) improve early pregnancy prediction of GDM risk in nulliparous women through development of a risk factor-based model, 2) conduct a systematic review and meta-analysis assessing the relationship between first trimester prenatal screening biomarker levels and development of GDM, and 3) determine if the addition of first and second trimester prenatal screening biomarkers to risk factor-based models will improve early prediction of GDM in nulliparous women. We developed a clinical prediction model including five well-established risk factors for GDM (race/ethnicity, age at delivery, pre-pregnancy body mass index, family history of diabetes, and pre-existing hypertension). Our model had moderate predictive performance among all nulliparous women, and performed particularly well among Hispanic and Black women when assessed within specific racial/ethnic groups. Our risk prediction model also showed superior performance over the commonly used American College of Obstetricians and Gynecologists (ACOG) screening guidelines, encouraging the prompt incorporation of this tool into preconception and prenatal care. Biomarkers commonly assessed in prenatal screening have been associated with a number of adverse perinatal and birth outcomes. However, reports on the relationship between first trimester measurements of prenatal screening biomarkers and GDM development are inconsistent. Our meta-analysis demonstrated that women who are diagnosed with GDM have lower first trimester multiple of the median (MoM) levels of both pregnancy associated plasma protein-A (PAPP-A) and free β-human chorionic gonadotropin (free β-hCG) than women who remain normoglycemic throughout pregnancy. Findings from our meta-analysis suggested that incorporation of prenatal screening biomarkers in clinical risk prediction models could aid in earlier identification of women at risk of developing GDM. Upon linkage of California Office of Statewide Health Planning and Development Linked Birth File and California Prenatal Screening Program records, we found that decreased levels of first trimester PAPP-A, increased second trimester unconjugated estriol, and increased second trimester dimeric inhibin A were associated with GDM development in nulliparous women. However, the addition of these biomarkers in clinical models did not offer improvements to the clinical utility (i.e., risk stratification) of models including maternal risk factors alone. Our findings demonstrate that incorporation of maternal risk factors in a clinical risk prediction model can more accurately identify nulliparous women at high risk for GDM early in pregnancy compared to current standard practice. The maternal characteristics model we developed is based on clinical history and demographic variables that are already routinely collected by clinicians in the United States so that it may be easily adapted into existing prenatal care practice and screening programs. Future work should focus on evaluating the clinical impact of model implementation on maternal and infant outcomes as well as financial costs to the health care system.

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Sweeting, Arianne Natasha. « Risk Management in Gestational Diabetes Mellitus : The Impact of Early Gestational Diabetes Mellitus and the Utility of Early Antenatal Risk Assessment ». Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18967.

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Gestational diabetes mellitus (GDM), increasing in prevalence, is placing significant demands on limited health resources. In this context, to better target finite resources to those at highest risk we aimed to improve GDM risk stratification approaches and examined whether the timing of GDM diagnosis could infer risk. We found that early GDM (diagnosed before 24 weeks’ gestation) was associated with the highest risk of adverse pregnancy outcomes, despite treatment. Secondly, we explored the utility of a single HbA1c as a pragmatic index of risk at GDM diagnosis. In standard GDM, a threshold HbA1c >5.9% (41 mmol/mol) identified women at increased risk of adverse outcomes and thus baseline HbA1c would have utility as a risk stratification tool at diagnosis. In contrast, HbA1c did not have the same utility in early GDM which should be considered a high-risk cohort. These studies confirm a heterogeneity of risk within GDM and the potential utility of timing of diagnosis and baseline HbA1c as risk stratification tools. The ability in early pregnancy to accurately assess the risk for the development of GDM would allow for limited resources and preventative interventions to be applied in a targeted manner. Thus, we examined the utility of several first trimester multivariate prediction models for GDM. A clinical model achieved an area under the curve (AUC) of 0.88 [95% CI 0.85-0.92], improving on the binary clinical risk scoring systems in current use. The addition of routinely tested first trimester aneuploidy/ pre-eclampsia markers (maternal pregnancy associated plasma protein A, free-β human chorionic gonadotropin, mean arterial pressure and uterine artery pulsatility index), improved prediction and best predicted early GDM (AUC 0.96 [95% CI 0.94-0.98]). Finally, a novel multivariate risk prediction model combining previous markers, glucose, lipids and adipokine biomarkers achieved the highest detection rate for GDM for any given false positive rate of all models tested. Dependent on validation and cost benefit studies, such a model could have potential application to best define a population for GDM preventive strategies or as an alternative to universal screening. Taken together, these findings have important implications for the risk management of GDM.

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D, Matthews Dawn, dir. Diabetes sourcebook : Basic consumer health information about Type 1 diabetes (insulin-dependent or juvenile-onset diabetes), Type 2 diabetes (noninsulin-dependent or adult-onset diabetes, gestational diabetes, impaired glucose tolerance (IGT), and related complications, such as amputation, eye disease, gum disease, nerve damage, and end-stage renal disease : including facts about insulin, oral diabetes medications, blood sugar testing, and the role of exercise and nutrition in the control of diabetes : along with a glossary and resources for further help and information. 3^e éd. Detroit, Mich : Omnigraphics, 2003.

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Templeton, Mardi. Gestational diabetes mellitus in Australia, 2005-06. Canberra : Australian Institute of Health and Welfare, 2008.

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Rybka, Jaroslav. Diabetes mellitus and exercise. Praha, Czechoslovakia : Univerzita Karlova, 1987.

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Association, American Diabetes, dir. Gestational diabetes : What to expect. 3^e éd. Alexandria, Va : American Diabetes Association, 1997.

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Karen, Bellenir, et Dresser Peter D, dir. Diabetes sourcebook : Basic information about insulin-dependent and noninsulin-dependent diabetes mellitus, gestational diabetes, and diabetic complications symptoms, treatments, and research results ... Detroit, MI : Omnigraphics, 1994.

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Srikanta, S. S. Diabetes mellitus : Modern medical & yoga perspectives. Bangalore, Karnataka, India : Swami Vivekananda Yoga Prakashana, 2010.

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Franz, Marion J. Diabetes actively staying healthy : Your game plan for diabetes and exercise. [Minneapolis, MN] : International Diabetes Center, 1990.

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Association, American Diabetes, dir. Handbook of exercise in diabetes. 2^e éd. Alexandria, VA : American Diabetes Association, 2002.

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Dinesh, Nagi, dir. Exercise and sport in diabetes. 2^e éd. Chichester, West Sussex, England : Wiley, 2005.

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Karen, Bellenir, dir. Diabetes sourcebook : Basic consumer health information about type 1 diabetes (insulin-dependent or juvenile-onset diabetes), Type 2 diabetes (noninsulin-dependent or adult-onset diabetes), gestational diabetes, and related disorders... 2^e éd. Detroit, MI : Omnigraphics, 1999.

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Chapitres de livres sur le sujet "Exercise, Gestational diabetes mellitus"

Artal, Raul, Gerald S. Zavorsky et Rosemary B. Catanzaro. « Exercise Recommendations in Women with Gestational Diabetes Mellitus ». Dans Gestational Diabetes During and After Pregnancy, 243–57. London : Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-120-0_17.

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Guelfi, Kym J., Rhiannon E. Halse et John P. Newnham. « The Role of Exercise in the Management of Gestational Diabetes Mellitus ». Dans Nutrition and Diet in Maternal Diabetes, 289–300. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56440-1_23.

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Pesicka, Deborah, Judith Riley et Cynthia Thomson. « Gestational Diabetes Mellitus ». Dans Obstetrics/Gynecology, 52–55. Boston, MA : Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-7174-6_7.

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Imam, Khalid. « Gestational Diabetes Mellitus ». Dans Advances in Experimental Medicine and Biology, 24–34. New York, NY : Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5441-0_4.

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Shaunak, Reena. « Gestational diabetes mellitus ». Dans Dietetic and Nutrition Case Studies, 117–20. Chichester, UK : John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119163411.ch31.

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Conway, Deborah L. « Gestational Diabetes Mellitus ». Dans Queenan's Management of High-Risk Pregnancy, 168–73. Oxford, UK : Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781119963783.ch20.

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Vounzoulaki, Elpida, et Samuel Seidu. « Gestational Diabetes Mellitus ». Dans Obesity and Diabetes, 479–92. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53370-0_35.

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Artal, Raul. « Exercise in Gestational Diabetes ». Dans Controversies in Diabetes and Pregnancy, 101–11. New York, NY : Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3792-1_7.

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Kintiraki, Evangelia, Gesthimani Mintziori et Dimitrios G. Goulis. « Pathogenesis of Gestational Diabetes Mellitus ». Dans The Diabetes Textbook, 215–25. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11815-0_14.

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Oskovi-Kaplan, Z. Asli, et A. Seval Ozgu-Erdinc. « Management of Gestational Diabetes Mellitus ». Dans Advances in Experimental Medicine and Biology, 257–72. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/5584_2020_552.

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Actes de conférences sur le sujet "Exercise, Gestational diabetes mellitus"

TAVARES, Lívia Hygino, et Bruno MOURA. « DIABETES IN PREGNANCY AND FETAL CARDIAC RISK : LITERATURE REVIEW ». Dans SOUTHERN BRAZILIAN JOURNAL OF CHEMISTRY 2021 INTERNATIONAL VIRTUAL CONFERENCE. DR. D. SCIENTIFIC CONSULTING, 2022. http://dx.doi.org/10.48141/sbjchem.21scon.45_abstract_tavares.pdf.

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Gestational diabetes mellitus (MGD) is associated with poor cardiac malformation in the fetus. It is related to changes in the clinical course of the disease and pre-gestational periods. The prevalence and incidence of MGD have been increasing worldwide. Early screening, diagnosis, and lifestyle change, such as physical exercise and healthy eating, provide better outcomes for children's health. This study aims to analyze the data concerning gestational diabetes and fetal malformations and to group the various protocols for diagnosis, highlighting the risk factors associated with MGD and their prevention. A systematic review of the literature was conducted with the PubMed, Scielo, Medline databases with English, Portuguese, and Spanish articles. The studies gathered clinical trials, randomized clinical trials, and original articles. In 12 articles analyzed maternal alterations, while 11 articles analyzed fetal alterations, and 9 articles analyzed how to diagnose cardiac changes in the fetus. The patient with MGD should be inserted in multidisciplinary activities seeking the change of lifestyle, physical exercises, and food reeducation, intending to give the fetus the appropriate nutrients and optimize the drug treatment; cardiac malformations are among the most severe and recurrent complications. However, they can be avoided with the control of pre-gestational diabetes (stricter follow-up from the moment the patient feels the desire to become pregnant) and the diagnosis and treatment of early gestational diabetes, as strict control of maternal blood glucose during pregnancy reduces morbidities and mortality. The study showed that hyperglycemic status during pregnancy is related to increased mortality and morbidity, even if it is asymptomatic. Therefore, it is necessary to guide the diabetic woman to plan her pregnancy in a euglycemic period because only this control can guarantee health to the fetus. The diagnosis of pregnant women with gestational diabetes needs to be early to optimize treatment.

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Ammutammima, Ummu Fatihah, Didik Gunawan Tamtomo et Bhisma Murti. « Family History with Diabetes Mellitus and the Gestational Diabetes Mellitus : Meta-Analysis ». Dans The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.54.

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Background: Gestational diabetes mellitus (GDM) is a major public health problem because of its associated complications during pregnancy. Studies have suggested that women with positive parental history of diabetes may be predisposed to an increased GDM risk. This study aimed to examine the correlation between family history with diabetes mellitus and the gestational diabetes mellitus. Subjects and Method: This was a meta-analysis and systematic review. The study was collected articles from PubMed, Science Direct, and Google Scholar databases, from year 2017 to 2020. Keywords used “gestational diabetes mellitus” OR “GDM” AND “pregnancy induced diabetes” AND “family history of diabetes” AND “crosssectional”. The study subject was pregnant women. Intervention was family history with diabetes mellitus with comparison no family history of diabetes mellitus. The study outcome was gestational diabetes mellitus. The articles were selected by PRISMA flow chart. The quantitative data were analyzed by ReVman 5.3. Results: 7 studies from Kuwait, Ethiopia, Fiji, Malaysia, and China, reported that family history with diabetes mellitus increased the risk of gestational diabetes mellitus (aOR= 1.68; 95% CI= 0.87 to 3.26; p= 0.120). Conclusion: Family history with diabetes mellitus increases the risk of gestational diabetes mellitus. Keywords: gestational diabetes mellitus, pregnancy induced diabetes, family history of diabetes Correspondence: Ummu Fsatihah Ammutammima. Masters Program Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: ummuftha64@gmail.com. Mobile: 081717252573. DOI: https://doi.org/10.26911/the7thicph.05.54

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Stepan, J., T. Ebert, S. Maier, C. Fazelnia, H. Jaksch-Bogensperger et N. Gassen. « Autophagic Flux in Gestational Diabetes Mellitus ». Dans 30. Kongress der Deutschen Gesellschaft für Perinatale Medizin – „Wandel als Herausforderung“. Georg Thieme Verlag, 2021. http://dx.doi.org/10.1055/s-0041-1739752.

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Sitorukmi, Galuh, Bhisma Murti et Yulia Lanti Retno Dewi. « Effect of Family History with Diabetes Mellitus on the Risk of Gestational Diabetes Mellitus : A Meta-Analysis ». Dans The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.55.

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Background: Gestational diabetes mellitus (GDM) is a serious pregnancy complication, in which women without previously diagnosed diabetes develop chronic hyperglycemia during gestation. Studies have revealed that the family history of diabetes is an important risk factor for the gestational diabetes mellitus. The purpose of this study was to investigate effect of family history with diabetes mellitus on the risk of gestational diabetes mellitus. Subjects and Method: This was meta-analysis and systematic review. The study was conducted by collecting published articles from Pubmed, Google Scholar, Scopus, Science Direct, and Springer Link electronic databases, from year 2010 to 2020. Keywords used risk factor, gestational diabetes mellitus, family history, and cross-sectional. The inclusion criteria were full text, using English language, using cross-sectional study design, and reporting adjusted odds ratio. The study population was pregnant women. Intervention was family history of diabetes mellitus with comparison no family history of diabetes mellitus. The study outcome was gestational diabetes mellitus. The collected articles were selected by PRISMA flow chart. The quantitative data were analyzed by random effect model using Revman 5.3. Results: 7 studies from Ethiopia, Malaysia, Philippines, Peru, Australia, and Tanzania were selected for this study. This study reported that family history of diabetes mellitus increased the risk of gestational diabetes mellitus 2.91 times than without family history (aOR= 2.91; 95% CI= 2.08 to 4.08; p<0.001). Conclusion: Family history of diabetes mellitus increases the risk of gestational diabetes mellitus. Keywords: gestational diabetes mellitus, diabetes mellitus, family history Correspondence: Galuh Sitorukmi. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: galuh.sitorukmi1210@gmail.com. Mobile: 085799333013. DOI: https://doi.org/10.26911/the7thicph.05.55

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Munir, Sadia. « Understanding Susceptibility Gene Loci Of Gestational Diabetes Mellitus ». Dans Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2014. http://dx.doi.org/10.5339/qfarc.2014.hbpp1012.

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Maskalova, Erika. « DIETARY HABITS AMONG WOMEN AFTER GESTATIONAL DIABETES MELLITUS ». Dans SGEM 2014 Scientific SubConference on PSYCHOLOGY AND PSYCHIATRY, SOCIOLOGY AND HEALTHCARE, EDUCATION. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgemsocial2014/b12/s2.030.

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Palawat, Nattacha, Supaporn Kiattisin et Theeraya Mayakul. « A Smart Prevention Management in Gestational Diabetes Mellitus ». Dans 2022 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2022. http://dx.doi.org/10.1109/ghtc55712.2022.9911041.

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Krishnan, Devi R., Chakravarthy Maddipati, Gayathri P. Menakath, Anagha Radhakrishnan, Yarrangangu Himavarshini, Aparna A., Kaveri Mukundan, Rahul Krishnan Pathinarupothi, Bithin Alangot et Sirisha Mahankali. « Evaluation of predisposing factors of Diabetes Mellitus post Gestational Diabetes Mellitus using Machine Learning Techniques ». Dans 2019 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2019. http://dx.doi.org/10.1109/scored.2019.8896323.

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B. Prudencio, Caroline, Fabiane A. Pinheiro, Carlos I. Sartorão Filho, Cristiane Rodrigues, Pedroni Pedroni, Angélica M. P. Barbosa et Marilza V. C. Rudge. « Gestational Diabetes Mellitus and Pelvic Floor Contraction : Cohort Study ». Dans Congresso Brasileiro de Eletromiografia e Cinesiologia (COBEC) e o Simpósio de Engenharia Biomédica (SEB) - COBECSEB. Uberlândia, Minas Gerais : Even3, 2018. http://dx.doi.org/10.29327/cobecseb.79090.

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Srivastava, Yashi, Pooja Khanna et Sachin Kumar. « Estimation of Gestational Diabetes Mellitus using Azure AI Services ». Dans 2019 Amity International Conference on Artificial Intelligence (AICAI). IEEE, 2019. http://dx.doi.org/10.1109/aicai.2019.8701307.

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Rapports d'organisations sur le sujet "Exercise, Gestational diabetes mellitus"

Zhu, Jing, Xiaohong Jiang, Kaiming Luo, Xiaolin Huang et Fei Hua. Association between Lipocalin-2 levels and Gestational Diabetes Mellitus : A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, septembre 2021. http://dx.doi.org/10.37766/inplasy2021.9.0097.

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Raghavan, Ramkripa, Carol Dreibelbis, Brittany Kingshipp, Yat Ping Wong, Nancy Terry, Barbara Abrams, Anne Bartholomew et al. Dietary Patterns before and during Pregnancy and Risk of Gestational Diabetes Mellitus : A Systematic Review. U.S. Department of Agriculture, Food and Nutrition Service, Center for Nutrition Policy and Promotion, Nutrition Evidence Systematic Review, avril 2019. http://dx.doi.org/10.52570/nesr.pb242018.sr0102.

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Shi, Jinping, Feng L, Liting X, Jing L et Xing L. Meta analysis of efficacy and safety of insulin aspart and biosynthetic human insulin in the treatment of gestational diabetes mellitus. Xi'an International Medical Center Hospital, juillet 2021. http://dx.doi.org/10.37766/inplasy2021.7.0047.

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Hu, Hengchang, Yuanhong Lei, Xiaoqiong Luo et Liping Yin. Evaluation of walking exercise on glycemic control in patients with type 2 diabetes mellitus : a protocol for systematic review and meta analysis of randomized cross-over controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, septembre 2020. http://dx.doi.org/10.37766/inplasy2020.9.0046.

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