1,106 results match your criteria: "Imperial College Business School & Centre for Health Policy[Affiliation]"

Intra-islet glucagon signalling regulates beta-cell connectivity, first-phase insulin secretion and glucose homoeostasis.

Mol Metab

July 2024

Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom; Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom; Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom. Electronic address:

Objective: Type 2 diabetes (T2D) is characterised by the loss of first-phase insulin secretion. We studied mice with β-cell selective loss of the glucagon receptor (Gcgr X Ins-1), to investigate the role of intra-islet glucagon receptor (GCGR) signalling on pan-islet [Ca] activity and insulin secretion.

Methods: Metabolic profiling was conducted on Gcgr and littermate controls.

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Governments recently adopted new global targets to halt and reverse the loss of biodiversity. It is therefore crucial to understand the outcomes of conservation actions. We conducted a global meta-analysis of 186 studies (including 665 trials) that measured biodiversity over time and compared outcomes under conservation action with a suitable counterfactual of no action.

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The negative impact of the COVID-19 pandemic on mental health outcomes is widely documented. Specifically, individuals experiencing greater degrees of severity in coronavirus anxiety have demonstrated higher levels of generalized anxiety, depression and psychological distress. Yet the pathways in which coronavirus anxiety confers vulnerability are not well known.

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In six studies, we find evidence of efficiency neglect: when thinking about the effects of population growth, people intuitively focus on increased demand while neglecting the changes in production efficiency that occur alongside, and often in response to, increased demand. In other words, people tend to think of others solely as consumers, rather than as consumers as well as producers. Efficiency neglect leads to beliefs that the real costs of some consumer goods are rising when they are actually decreasing and may contribute to antiimmigration sentiments because of the fear that increasing local population creates competition for fixed resources.

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Unraveling the distinction between depression and anxiety: A machine learning exploration of causal relationships.

Comput Biol Med

May 2024

Bioengineering Department and Imperial-X, Imperial College London, London, W12 7SL, UK; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW3 6NP, UK; School of Biomedical Engineering & Imaging Sciences, King's College London, London, WC2R 2LS, UK.

Article Synopsis
  • Scientists wanted to find a better way to tell the difference between depression and anxiety, which can be really hard sometimes.
  • They used a special checklist and smart computer programs to see how well they could identify which disorder a person has based on their answers.
  • Their findings showed that the new method works really well, with one computer program being the best at figuring it out accurately.
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Modelling the impact of hybrid immunity on future COVID-19 epidemic waves.

BMC Infect Dis

April 2024

School of Mathematics and Statistics, The University of Melbourne, Grattan Street, Melbourne, 3010, Victoria, Australia.

Background: Since the emergence of SARS-CoV-2 (COVID-19), there have been multiple waves of infection and multiple rounds of vaccination rollouts. Both prior infection and vaccination can prevent future infection and reduce severity of outcomes, combining to form hybrid immunity against COVID-19 at the individual and population level. Here, we explore how different combinations of hybrid immunity affect the size and severity of near-future Omicron waves.

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Progress towards universal health coverage and inequalities in infant mortality: an analysis of 4·1 million births from 60 low-income and middle-income countries between 2000 and 2019.

Lancet Glob Health

May 2024

Public Health Policy Evaluation Unit, Imperial College London, London, UK; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, NOVA University Lisbon, Lisbon, Portugal.

Background: Expanding universal health coverage (UHC) might not be inherently beneficial to poorer populations without the explicit targeting and prioritising of low-income populations. This study examines whether the expansion of UHC between 2000 and 2019 is associated with reduced socioeconomic inequalities in infant mortality in low-income and middle-income countries (LMICs).

Methods: We did a retrospective analysis of birth data compiled from Demographic and Health Surveys (DHSs).

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Article Synopsis
  • The offshore Multi-use Setting (MUS) aims to combine marine industrial activities like wind farms and aquaculture to optimize space and resources while addressing global policy priorities.
  • A study using expert predictions assessed the potential social and environmental impacts of co-locating seaweed aquaculture with a wind farm, revealing both risks, such as species mortality and stakeholder conflict, and benefits, like improved habitat functionality.
  • The findings highlight the complexity and uncertainty in managing MUS, suggesting the need for further integrated assessments and alternative strategies to minimize trade-offs and risks in such ventures.
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Article Synopsis
  • One in ten COVID-19 infections lead to long COVID, characterized by prolonged symptoms, but the underlying mechanisms remain unclear.
  • In a study of 657 individuals, certain inflammatory markers were linked to long COVID symptoms, revealing connections to cardiorespiratory issues, fatigue, anxiety, gastrointestinal problems, cognitive impairments, and potential nerve tissue repair disturbances.
  • Findings suggest that targeting specific inflammatory pathways could offer new therapeutic options for treating different subtypes of long COVID in future clinical trials.*
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Background: While political polarization in policy opinions, preferences, and observance is well established, little is known about whether and how such divisions evolve, and possibly attenuate, over time. Using the COVID-19 pandemic in Brazil as the backdrop, we examine the longitudinal evolution of a highly relevant and polarizing policy: adherence to the COVID-19 vaccination.

Methods: Studies 1 (N = 3346) and 2 (N = 10,214) use nationwide surveys to document initial differences and subsequent changes in vaccination adherence between conservatives ("Bolsonaristas") and non-conservatives ("non-Bolsonaristas").

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This study addresses global concerns about diabetes mellitus by exploring a novel approach to manage hyperglycemia through pulses-supplemented designer biscuits. Control and designer biscuits were prepared with varying proportions of wheat flour and pulses (chickpea, mungbean). The pulses-supplemented biscuits exhibited increased protein content and reduced readily available carbohydrates.

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Background: Diabetic eye screening (DES) represents a significant opportunity for the application of machine learning (ML) technologies, which may improve clinical and service outcomes. However, successful integration of ML into DES requires careful product development, evaluation, and implementation. Target product profiles (TPPs) summarize the requirements necessary for successful implementation so these can guide product development and evaluation.

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Variation in social media sensitivity across people and contexts.

Sci Rep

March 2024

Department of Communication, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA.

Social media impacts people's wellbeing in different ways, but relatively little is known about why this is the case. Here we introduce the construct of "social media sensitivity" to understand how social media and wellbeing associations differ across people and the contexts in which these platforms are used. In a month-long large-scale intensive longitudinal study (total n = 1632; total number of observations = 120,599), we examined for whom and under which circumstances social media was associated with positive and negative changes in social and affective wellbeing.

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Article Synopsis
  • - The GBD 2021 provides updated demographic estimates for 204 countries and territories, covering changes in mortality and life expectancy associated with the COVID-19 pandemic from 1950 to 2021, highlighting the significant impact of the pandemic on global health trends.
  • - To estimate mortality and impacts of the pandemic, researchers utilized over 22,000 data sources, including vital registration and surveys, while also accounting for various factors like migration, epidemics, and disasters that affect population health metrics.
  • - Advanced statistical methods, specifically spatiotemporal Gaussian process regression (ST-GPR), were employed to calculate under-5 and adult mortality rates, which were then used to create life tables, with adjustments made for countries severely affected by
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Background: Public-private partnerships (PPP) are often how health improvement programs are implemented in low-and-middle-income countries (LMICs). We therefore aimed to systematically review the literature about the aim and impacts of quality improvement (QI) approaches in PPP in LMICs.

Methods: We searched SCOPUS and grey literature for studies published before March 2022.

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Background: Excessive or inappropriate use of social media has been linked to disruptions in regular work, well-being, mental health, and overall reduction of quality of life. However, a limited number of studies documenting the impact of social media on health-related quality of life (HRQoL) are available globally.

Aim: This study aimed to explore the perceived social media needs and their impact on the quality of life among the adult population of various selected countries.

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The Superblock model: A review of an innovative urban model for sustainability, liveability, health and well-being.

Environ Res

June 2024

Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiolog'ıa y Salud Pu'blica (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain.

Introduction: Current urban and transport planning practices have significant negative health, environmental, social and economic impacts in most cities. New urban development models and policies are needed to reduce these negative impacts. The Superblock model is one such innovative urban model that can significantly reduce these negative impacts through reshaping public spaces into more diverse uses such as increase in green space, infrastructure supporting social contacts and physical activity, and through prioritization of active mobility and public transport, thereby reducing air pollution, noise and urban heat island effects.

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This study addressed the scarcity of NH measurements in urban Europe and the diverse monitoring protocols, hindering direct data comparison. Sixty-nine datasets from Finland, France, Italy, Spain, and the UK across various site types, including industrial (IND, 8), traffic (TR, 12), urban (UB, 22), suburban (SUB, 12), and regional background (RB, 15), are analyzed to this study. Among these, 26 sites provided 5, or more, years of data for time series analysis.

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Background And Objectives: Prior research has shown that temporary deferrals negatively influence donor return rates, but it remains unknown the extent to which these effects vary across reasons for deferral. We investigate whether deferrals differ in their degree of perceived stigmatization and, if so, how being deferred for stigmatizing (vs. non-stigmatizing) reasons affects subsequent donation behaviour.

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Background: Using routinely collected clinical data for observational research is an increasingly important method for data collection, especially when rare outcomes are being explored. The POOL study was commissioned to evaluate the safety of waterbirth in the UK using routine maternity and neonatal clinical data. This paper describes the design, rationale, set-up and pilot for this data linkage study using bespoke methods.

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This study has the aim of assessing the Brazilian perceptions, influencing factors and political positioning on the confidence concerning COVID-19 vaccination. To achieve the objective, the methods rely on a cross-sectional survey of Brazilian citizens, distributed through different social networks. The sample is composed of 1,670 valid responses, collected from almost all Brazilian states and state capitals.

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Malaria transmission intensity affects the development of naturally acquired immunity to malaria. An absolute correlate measure of protection against malaria is lacking. However, antibody-mediated functions against correlate with protection against malaria.

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Lactiplantibacillus plantarum is a probiotic bacterium widely used in food and health industries, but its gene regulatory information is limited in existing databases, which impedes the research of its physiology and its applications. To obtain a better understanding of the transcriptional regulatory network of L. plantarum, independent component analysis of its transcriptomes was used to derive 45 sets of independently modulated genes (iModulons).

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The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war.

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