12 research outputs found

    Intuitive Eating Behavior, Diet Quality and Metabolic Health in the Postpartum in Women with Gestational Diabetes

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    Little is known regarding intuitive eating (IE), diet quality and adherence. We investigated the associations between IE, diet quality and metabolic health after gestational diabetes (GDM), who have an increased diabetes risk. Data from 179 women with GDM from MySweetheart trial (NCT02872974) were analyzed. IE was assessed using the eating for physical rather than emotional reasons (EPR) and reliance on hunger and satiety cues (RHSC) subscales of the French Intuitive Eating Scale-2. Metabolic outcomes included weight, central body fat and insulin resistance. Diet quality was calculated using the Alternative Health Eating Index (AHEI) and compliance with national recommendations was evaluated. Both IE subscales were associated with lower BMI and fat mass (BIA) at 1-year postpartum (all p ≤ 0.034). The EPR subscale inversely correlated with fat mass (DXA) and visceral adipose tissue (both p ≤ 0.028), whereas RHSC with higher insulin sensitivity (Matsuda, p = 0.034). RHSC during pregnancy predicted increased AHEI (p = 0.043) at 1-year postpartum, whilst EPR predicted lower fat mass and insulin resistance (HOMA-IR) (all p ≤ 0.04). In longitudinal analyses, both subscales were associated with increased adherence to dairy and fiber intake recommendations (both p ≤ 0.023). These data suggest IE may be an interesting approach to improve diet quality and metabolic outcomes in women with GDM

    Effect of the MySweetheart randomized controlled trial on birth, anthropometric and psychobehavioral outcomes in offspring of women with GDM

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    IntroductionGestational diabetes mellitus (GDM) may negatively affect offspring outcomes. A lifestyle intervention may therefore not only improve maternal, but also offspring outcomes. The effects of lifestyle interventions on birth, anthropometric, and psychobehavioral outcomes in offspring of women with GDM need further evidence.DesignThe MySweetheart trial is a monocentric single-blind randomized controlled trial in 211 women with GDM. It tested the effect of a pre- and postpartum multidimensional interdisciplinary lifestyle and psychosocial intervention focusing on both the mothers and their infants and its effects on maternal (primary outcomes) and offspring (secondary outcomes) metabolic and psychobehavioral outcomes compared with guidelines-based usual-care. This paper focuses on offspring’s birth, anthropometric, and maternal report of psychobehavioral outcomes at singular timepoints.MethodsWomen with GDM aged ≥18 years, between 24-32 weeks of gestation, speaking French or English were included and randomly allocated to either the intervention or to an active guidelines-based usual-care group using a 1:1 allocation ratio. The intervention lasted from pregnancy until 1 year postpartum and focused on improving diet, physical activity, and mental health in the mother. For the offspring it focused on supporting breastfeeding, delaying the timing of introduction of solid foods, reducing the consumption of sweetened beverages, increasing physical activity of the family, and improving parental responsiveness to infant distress, hunger, satiety and sleeping cues, and difficult behavior.ResultsAdverse birth and neonatal outcomes rarely occurred overall. There were no differences between groups in offspring birth, neonatal, anthropometric, or psychobehavioral outcomes up to one year. After adjustments for maternal age and the offspring’s sex and age, there was a borderline significant between-group difference in birth length (β:-0.64, CI:-1.27; -0.01, p: 0.05), i.e., offspring of mothers in the intervention group were born 0.64 cm shorter compared to those in the usual-care group.ConclusionThis is the first pre- and postpartum multidimensional interdisciplinary lifestyle and psychosocial intervention in GDM focusing on both the mother and the offspring. It did not lead to a significant improvement in most birth, anthropometric, and psychobehavioral outcomes in offspring of women with GDM. ClinicalTrials.gov Identifier: NCT0289069

    Weight Categories, Trajectories, Eating Behavior, and Metabolic Consequences during Pregnancy and Postpartum in Women with GDM

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    Pre-pregnancy overweight and obesity are associated with increased risk for adverse outcomes, such as gestational diabetes mellitus (GDM). This study investigated weight trajectories, eating behaviors, and metabolic consequences in women with GDM during pregnancy and postpartum according to pre-pregnancy BMI. We prospectively included 464 women with GDM. Intuitive eating (Intuitive Eating Scale-2 questionnaire), gestational weight gain (GWG), postpartum weight retention (PPWR) at 6–8 weeks and 1-year postpartum, and glucose intolerance (prediabetes and diabetes) at 1-year were assessed. Women with obesity (WOB) had lower GWG but gained more weight in the postpartum (p p = 0.63), whereas postpartum weight loss was most pronounced in women with normal weight (p p p < 0.001), and the adverse metabolic impact of PPWR was most pronounced in WOB with odds of increased risk of glucose intolerance 8.9 times higher (95% CI 2.956;26.968). These findings suggest an adaptive capacity to relatively rapid weight changes in the perinatal period that is less present with higher BMI

    Brain responses to food viewing in women during pregnancy and post partum and their relationship with metabolic health: study protocol for the FOODY Brain Study, a prospective observational study

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    Introduction Food cravings are common in pregnancy and along with emotional eating and eating in the absence of hunger, they are associated with excessive weight gain and adverse effects on metabolic health including gestational diabetes mellitus (GDM). Women with GDM also show poorer mental health, which further can contribute to dysregulated eating behaviour. Food cravings can lead to greater activity in brain centres known to be involved in food ‘wanting’ and reward valuation as well as emotional eating. They are also related to gestational weight gain. Thus, there is a great need to link implicit brain responses to food with explicit measures of food intake behaviour, especially in the perinatal period. The aim of this study is to investigate the spatiotemporal brain dynamics to visual presentations of food in women during pregnancy and in the post partum, and link these brain responses to the eating behaviour and metabolic health outcomes in women with and without GDM.Methods and analysis This prospective observational study will include 20 women with and 20 without GDM, that have valid data for the primary outcomes. Data will be assessed at 24–36 weeks gestational age and at 6 months post partum. The primary outcomes are brain responses to food pictures of varying carbohydrate and fat content during pregnancy and in the post partum using electroencephalography. Secondary outcomes including depressive symptoms, current mood and eating behaviours will be assessed with questionnaires, objective eating behaviours will be measured using Auracle and stress will be measured with heart rate and heart rate variability (Actiheart). Other secondary outcome measures include body composition and glycaemic control parameters.Ethics and dissemination The Human Research Ethics Committee of the Canton de Vaud approved the study protocol (2021-01976). Study results will be presented at public and scientific conferences and in peer-reviewed journals

    Transformation, Zirkulation, System of Systems: Für ein dynamisches Verständnis netzgebundener Infrastrukturen

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    Der Aufsatz plädiert dafür, die Dynamik technischer netzgebundener Infrastrukturen mit einem dreifachen Ansatz zu untersuchen: Transformation, Zirkulation und System of Systems. Transformation repräsentiert dabei die Veränderung von Infrastrukturen als Gesamtsysteme. Zirkulation repräsentiert die in jeder Infrastrukturfunktion eingeschriebene Dynamik. Gemeint ist der Austausch von Gütern, Menschen, Informationen oder Energie in Netzen. System of Systems ist ein Konzept zur Beschreibung der Interdependenzen verschiedener verbundener Sektoren und Systeme. Die drei Merkmale der Transformation sind aufeinander bezogen: Das Konzept des System of System liefert einen Erklärungsansatz, auf welchen Wegen Zirkulation stattfindet (in und zwischen Netzwerken) und welche Faktoren die Zirkulation beeinflussen. Diese Phänomene können wiederum als Ursachen oder Anreize für Transformation auf der Systemebene begriffen werden. Umgekehrt ist zu fragen, inwieweit Transformationsprozesse der Infrastrukturnetze die Konfiguration des System of Systems verändern

    Transformation, Zirkulation, System of Systems : Für ein dynamisches Verständnis netzgebundener Infrastrukturen

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    Der Aufsatz plädiert dafür, die Dynamik technischer netzgebundener Infrastrukturen mit einem dreifachen Ansatz zu untersuchen: Transformation, Zirkulation und System of Systems. Transformation repräsentiert dabei die Veränderung von Infrastrukturen als Gesamtsysteme. Zirkulation repräsentiert die in jeder Infrastrukturfunktion eingeschriebene Dynamik. Gemeint ist der Austausch von Gütern, Menschen, Informationen oder Energie in Netzen. System of Systems ist ein Konzept zur Beschreibung der Interdependenzen verschiedener verbundener Sektoren und Systeme. Die drei Merkmale der Transformation sind aufeinander bezogen: Das Konzept des System of System liefert einen Erklärungsansatz, auf welchen Wegen Zirkulation stattfindet (in und zwischen Netzwerken) und welche Faktoren die Zirkulation beeinflussen. Diese Phänomene können wiederum als Ursachen oder Anreize für Transformation auf der Systemebene begriffen werden. Umgekehrt ist zu fragen, inwieweit Transformationsprozesse der Infrastrukturnetze die Konfiguration des System of Systems verändern

    New Macrolide-Lincosamide-Streptogramin B Resistance Gene erm(48) on the Novel Plasmid pJW2311 in Staphylococcus xylosus

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    Whole-genome sequencing of Staphylococcus xylosus strain JW2311 from bovine mastitis milk identified the novel 49.3-kb macrolide-lincosamide-streptogramin B (MLSB) resistance plasmid pJW2311. It contained the macrolide resistance gene mph(C), the macrolide-streptogramin B resistance gene msr(A), and the new MLSB resistance gene erm(48) and could be transformed into Staphylococcus aureus by electroporation. Functionality of erm(48) was demonstrated by cloning and expression in S. aureus
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