22 research outputs found

    Disturbed eating at high altitude: influence of food preferences, acute mountain sickness and satiation hormones

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    Purpose: Hypoxia has been shown to reduce energy intake and lead to weight loss, but the underlying mechanisms are unclear. The aim was therefore to assess changes in eating after rapid ascent to 4,559m and to investigate to what extent hypoxia, acute mountain sickness (AMS), food preferences and satiation hormones influence eating behavior. Methods: Participants (n=23) were studied at near sea level (Zurich (ZH), 446m) and on two days after rapid ascent to Capanna Margherita (MG) at 4,559m (MG2 and MG4). Changes in appetite, food preferences and energy intake in an ad libitum meal were assessed. Plasma concentrations of cholecystokinin, peptide tyrosine-tyrosine, gastrin, glucagon and amylin were measured. Peripheral oxygen saturation (SpO2) was monitored, and AMS assessed using the Lake Louis score. Results: Energy intake from the ad libitum meal was reduced on MG2 compared to ZH (643±308 vs. 952±458kcal, p=0.001), but was similar to ZH on MG4 (890±298kcal). Energy intake on all test days was correlated with hunger/satiety scores prior to the meal and AMS scores on MG2 but not with SpO2 on any of the 3days. Liking for high-fat foods before a meal predicted subsequent energy intake on all days. None of the satiation hormones showed significant differences between the 3days. Conclusion: Reduced energy intake after rapid ascent to high altitude is associated with AMS severity. This effect was not directly associated with hypoxia or changes in gastrointestinal hormones. Other peripheral and central factors appear to reduce food intake at high altitud

    Glucocorticoid withdrawal and glucocorticoid-induced adrenal insufficiency: Study protocol of the randomized controlled «TOASST" (Taper Or Abrupt Steroid STop) multicenter trial

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    BACKGROUND Despite the widespread use of glucocorticoids in inflammatory and autoimmune disorders, there is uncertainty about the safe cessation of long-term systemic treatment, as data from prospective trials are largely missing. Due to potential disease relapse or glucocorticoid-induced hypocortisolism, the drug is often tapered to sub-physiological doses rather than stopped when the underlying disease is clinically stable, increasing the cumulative drug exposure. Conversely, the duration of exposure to glucocorticoids should be minimized to lower the risk of side effects. METHODS We designed a multicenter, randomized, triple-blinded, placebo-controlled trial to test the clinical noninferiority of abrupt glucocorticoid stop compared to tapering after ≥28 treatment days with ≥420 mg cumulative and ≥7.5 mg mean daily prednisone-equivalent dose. 573 adult patients treated systemically for various disorders will be included after their underlying disease has been stabilized. Prednisone in tapering doses or matching placebo is administered over 4 weeks. A 250 mg ACTH-test, the result of which will be revealed a posteriori, is performed at study inclusion; all patients are instructed on glucocorticoid stress cover dosing. Follow-up is for 6 months. The composite primary outcome measure is time to hospitalization, death, initiation of unplanned systemic glucocorticoid therapy, or adrenal crisis. Secondary outcomes include the individual components of the primary outcome, cumulative glucocorticoid doses, signs and symptoms of hypocortisolism, and the performance of the ACTH test in predicting the clinical outcome. Cox proportional hazard, linear, and logistic regression models will be used for statistical analysis. CONCLUSION This trial aims to demonstrate the clinical noninferiority and safety of abrupt treatment cessation after ≥28 days of systemic glucocorticoid therapy in patients with stabilized underlying disease. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03153527; EUDRA-CT: 2020-005601-48 https://clinicaltrials.gov/ct2/show/NCT03153527?term=NCT03153527&draw=2&rank=1

    Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

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    Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

    Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

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    From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions

    ConnectOpen - automatic integration of IoT devices

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    There exists, today, a wide consensus that Internet of Things (IoT) is creating a wide range of business opportunities for various industries and sectors like Manufacturing, Healthcare, Public infrastructure management, Telecommunications and many others. On the other hand, the technological evolution of IoT facing serious challenges. The fragmentation in terms of communication protocols and data formats at device level is one of these challenges. Vendor specific application architectures, proprietary communication protocols and lack of IoT standards are some reasons behind the IoT fragmentation. In this paper we propose a software enabled framework to address the fragmentation challenge. The framework is based on flexible communication agents that are deployed on a gateway and can be adapted to various devices communicating different data formats using different communication protocol. The communication agent is automatically generated based on specifications and automatically deployed on the Gateway in order to connect the devices to a central platform where data are consolidated and exposed via REST APIs to third party services. Security and scalability aspects are also addressed in this work

    IoT-based dynamic street light control for smart cities use cases

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    This paper presents a real-world proven solution for dynamic street light control and management which relies on an open and flexible Internet of Things architecture. Substantial contribution is brought at the interoperability level using novel device connection concept based on model-driven communication agents to speed up the integration of sensors and actuators to Internet of Things platforms. The paper shows also results from real-world tests with deployed dynamic street lights in urban spaces. The proposed dynamic light control solution permits an energy saving of about 56% compared to classical static, time-based street light control

    Dynamic street light management ::towards a citizen centred approach

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    This paper presents a novel approach towards dynamic street light control, which combines advanced Information and Communication Technologies (ICT) and citizens' involvement and engagement. Our proposal is based on the citizens' involvement which would strongly increases the efficiency and perfromance of technological solutions in smart city context. We believe that serious Games have the potential to strengthen people motivation in this context

    Reduced insulin sensitivity as a marker for acute mountain sickness?

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    Spliethoff, Kerstin, Daniela Meier, Isabelle Aeberli, Max Gassmann, Wolfgang Langhans, Marco Maggiorini, Thomas A. Lutz, and Oliver Goetze. Reduced insulin sensitivity as a marker for acute mountain sickness? High Alt Med Biol 14:240–250, 2013—Reduced insulin sensitivity might increase the susceptibility to acute mountain sickness (AMS). The diabetogenic side effects of dexamethasone should therefore be considered for AMS treatment. To examine whether reduced insulin sensitivity is predictive of AMS and how it is affected by dexamethasone at high altitude, we analyzed endocrine and metabolic parameters obtained from healthy mountaineers in Zurich (LA; 490 m), and 2 and 4 days after fast ascent to the Capanna Regina Margherita (HA2, HA4; 4559 m). 14 of 25 participants developed AMS and were treated with dexamethasone starting in the evening of HA2. Before and after ingestion of an 1800 kJ meal, plasma was analyzed for erythropoietin (EPO) and cholecystokinin (CCK). Insulin sensitivity (HOMA-S) and beta cell activity were calculated. HOMA-S (p<0.01) and EPO levels (p<0.05) were lower in Zurich in the group developing AMS and given dexamethasone, i.e., before treatment and exposure to hypoxia. CCK was lower (p<0.01) and glucose and insulin were higher on HA4 in the dexamethasone group compared to the untreated group. Individuals with low baseline insulin sensitivity and low baseline EPO levels were more susceptible to AMS. Reduced CCK may contribute to the beneficial effect of dexamethasone on high altitude anorexia. However, reduced insulin sensitivity questions the widespread use of dexamethasone to prevent/treat AMS
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