Technology advances in diabetes pregnancy: right technology, right person, right time

Abstract

This review outlines some of the extraordinary recent advances in diabetes technology, which are transforming the management of type 1 diabetes before, during and after pregnancy. It highlights recent improvements associated with use of continuous glucose monitoring (CGM) but acknowledges that neither CGM nor insulin pump therapy are adequate for achieving the pregnancy glucose targets. Furthermore, even hybrid closed-loop (HCL) systems that are clinically effective outside of pregnancy may not confer additional benefits throughout pregnancy. To date, there is only one HCL system, the CamAPS FX, with a strong evidence base for use during pregnancy, suggesting that the pregnancy benefits are HCL system specific. This is in stark contrast to HCL system use outside of pregnancy, where benefits are HCL category specific. The CamAPS FX HCL system has a rapidly adaptive algorithm and lower glucose targets with benefits across all maternal glucose categories, meaning that it is applicable for all women with type 1 diabetes, before and during pregnancy. For women of reproductive years living with type 2 diabetes, the relative merits of using non-insulin pharmacotherapies vs diabetes technology (dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists and sodium−glucose cotransporter 2 inhibitors) are unknown. Despite the urgent unmet need and potential benefits, studies of pharmacotherapy and technology use are extremely limited in pregnant women with type 2 diabetes.

Graphical Abstract

Factors Influencing the Acceptance or Rejection of Dietary and Body Norm Systems Favorable to the Prevention and Control of Type 2 Diabetes Among Sub-Saharan Africa migrants: A Scoping Review

Abstract

Introduction

The systems of dietary and body that favor the prevention and control of type 2 diabetes (T2D) go against what is vital for most of the migrant population, exposing them to conflicts of norms that are difficult to reconcile. The purpose of this scoping review is to identify factors that may influence the acceptance or rejection of dietary and body norm systems favorable to the prevention and control of T2D by sub-Saharan Africa migrants living with T2D.

Methods

An electronic search of studies from 2011 to 2022, published in English, Italian, French, or Portuguese was conducted in seven databases and in gray literature. The selection of articles was done independently and blindly by six teams of two researchers in accordance with the inclusion and exclusion criteria defined by the PICO.

Results

Seven studies were included. The results show several factors influencing the acceptance or rejection of dietary and body norms systems favorable to the prevention and control of T2D among the migrants from sub-Saharan Africa, mainly social network, income, availability, and affordability of foods, among others.

Conclusion

Given the paucity of studies available on factors influencing the acceptance or rejection of body norm systems favorable to the prevention and control of T2D by sub-Saharan Africa migrants living with T2D, further studies are needed to better document these factors. A better understanding of these factors and their influence on the well-being of migrant people from sub-Saharan Africa living with T2D could help guide policy, research, and interventions so that they are better adapted to the realities of these populations.

The Wrong of Eugenic Sterilization

Abstract

I defend a novel account of the wrong of subjecting people to non-consensual sterilization (NCS), particularly in the context of the state-sponsored eugenics programmes once prevalent in the United States. What makes the eugenicist practice of NCS distinctively wrong, I claim, is its dehumanizing core: the fact that it is tantamount to treating people as nonhuman animals, thereby expressing the degrading social meaning that they have the value of animals. The practice of NCS is prima facie seriously wrong partly, but crucially, on these grounds. I consider and reject accounts of the wrong of NCS that make no reference to its animalizing character, such as that it violates victims’ (procreative) autonomy, amounts to treating them merely as a means, inflicts psychological harm on them, or constitutes an affront to their human dignity. My discussion suggests that the critical vocabulary of bioethics should be expanded beyond talk of rights violations, benefits and harms, and equal treatment—and that the language of dehumanization is indispensable to bioethicists.

Unequal Access to Primary Care Providers at the Intersection of Race/Ethnicity, Sexual Orientation, and Gender

Abstract

Not all U.S. populations have equal access to a primary care provider (PCP). This study presents one of the first population-based evidence of inequities in access to PCPs at the intersection of race/ethnicity, sexual orientation, and gender. We analyzed pooled data from the Behavioral Risk Factor Surveillance System from 2016 to 2021 across 42 states and 1 territory in the United States. The final sample encompassed 1,142,344 respondents aged 18 and older. Logistic regression models, stratified by gender spectrum, were estimated to compare predicted probabilities of having a PCP across 20 sexual and racial/ethnic identity groups. Among those on the feminine spectrum, most sexual minorities of color exhibited lower rates of having a PCP compared to heterosexual White individuals. Even when sociodemographic and health factors were accounted for, PCP access disadvantages remained significant in some groups of Native and Hispanic sexual minorities. Among sexual minorities of color on the masculine spectrum, inequities were less prominent, and sociodemographic and health factors nearly explained all their disadvantages. Sexual orientation, gender, and race/ethnicity intersect to shape the access to PCPs. Future research, policy designs, and clinical practices should adopt an intersectional approach to achieve a better understanding of healthcare inequities and to reduce inequities.

Critical Self-reflection on Racism by Hospital Physicians in Large German Cities. A Qualitative Reconstructive Study Using Episodic Interviews

Abstract

Racism permeates healthcare institutions and interpersonal interactions, impacting both staff and patients. The role of doctors, given their influential position in the healthcare system, is particularly crucial in this context. Despite this, there is a scarcity of evidence regarding the manifestation of racism among healthcare professionals in Germany. Critical whiteness studies emphasize the importance of white* individuals engaging in critical self-reflection to mitigate racism. This study aimed to explore the attitudes of white* physicians in hospitals in major German cities towards racism and their critical reflection on personal attitudes and actions concerning racism in interactions with staff members and patients. Data was collected through six episodic interviews with physicians, analyzed using the reconstructive qualitative procedure of the documentary method, leading to a sense-genetic typology. The sense-genetic typology revealed three distinct attitudes towards racism: acknowledging, individualistic, and ignoring. Four types emerged concerning the self-reflection of white doctors: self-critical, socially critical, worried, and defensive. The most promising potential for interventions to reduce racism lies within the self-critical and socially critical types, both demonstrating an acknowledging attitude. Conversely, the worrying and defensive types may present challenges in deconstruction. This suggests that interventions aimed at reducing racism should be tailored and implemented with a nuanced approach.

Between writer and militant: Arab realism and the accidental

Abstract

This article explores Arab theories of socialist realism in the 1950s with a focus on the literary battles among Marxist-oriented critics in Egypt and Lebanon who debated literature’s role in creating a homogenous form of culture in an ideal socialist state. Analyzing works by Egyptian literary critic Mahmud Amin al-ʿAlim (1922–2009) and the Lebanese Marxist critic Husayn Muruwwah (1910–1987), I explore how these thinkers understood socialist realism. Their conceptions of realism were a hybrid of Sartre’s existential call for a littérature engagée and the Soviet doctrine of socialist realism; however, these critics’ brand of realism had its own demons, specifically those that had to do with chance. Al-ʿAlim, for example, theorized coincidence as a scientific principle that could accommodate the accidental and yet remain universally valid as a philosophical method of literary and social critique. Muruwwah treated chance in relation to authorial mistake, promoting a realism that would contain potential mistakes on the road to an ideal socialist existence. The article explores how they approach chance in relation to both literary creation and its occurrence as an uncalculated event in the world represented in the literary work. It outlines how the two writers conceived of a realist literature that would provide a rational and scientific understanding of totality. Their approaches, the article illustrates, confront idealism and materialism in literary criticism, using the terms نقد (criticism) and منهج (method). To conclude, the article demonstrates how their theories mobilize the role chance plays in literary creation to push back against concurrent existentialist and romantic trends that were seen to foreground the solipsism of authorial subjectivity. It argues that their deployment of chance adapts socialist realism to respond to debates on cultural autonomy and authorial agency in the Cold War Arab world. Their treatment of chance reveals how they adapted literary trends to speak to possibilities of Arab literary autonomy in the time period.

Equity in action: The Diagnostic Working Group of The Undiagnosed Diseases Network International

Abstract

Rare diseases are recognized as a global public health priority. A timely and accurate diagnosis is a critical enabler for precise and personalized health care. However, barriers to rare disease diagnoses are especially steep for those from historically underserved communities, including low- and middle-income countries. The Undiagnosed Diseases Network International (UDNI) was launched in 2015 to help fill the knowledge gaps that impede diagnosis for rare diseases, and to foster the translation of research into medical practice, aided by active patient involvement. To better pursue these goals, in 2021 the UDNI established the Diagnostic Working Group of the UDNI (UDNI DWG) as a community of practice that would (a) accelerate diagnoses for more families; (b) support and share knowledge and skills by developing Undiagnosed Diseases Programs, particularly those in lower resource areas; and (c) promote discovery and expand global medical knowledge. This Perspectives article documents the initial establishment and iterative co-design of the UDNI DWG.

Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations

Abstract

This study investigates the impact of enhanced horizontal resolution on simulating mean and extreme precipitation in the major river basins of southern Africa. Seven global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) High-Resolution Model Intercomparison Project (HighResMIP) are used, which are available at both high-resolution (HR) and low-resolution (LR). The models are assessed using three observational datasets from 1983–2014 during December-January–February. The performance of the models in simulating nine extreme precipitation indices, as defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), is quantitatively assessed using various of statistical metrics. Results show that the distributions of daily precipitation from the HR models are nearly identical to those of their LR counterparts. However, model biases are not consistent across the three observations. Most HR and LR models reasonably simulate mean precipitation, maximum consecutive dry and wet days (CDD and CWD), number of rainy days (RR1) and heavy precipitation events (R10mm and R20mm), albeit with some biases. Enhanced horizontal resolution improves the simulation of mean precipitation, CDD, CWD, RR1 and R10mm, as indicated by high spatial correlation coefficients (SCCs), low root mean square errors (RMSEs), and reduced biases in most HR models. The majority of the HighResMIP models (i.e., both LR and HR models) overestimates extreme wet days precipitation (R95p and R99p), maximum one-day precipitation (Rx1day), and simple daily intensity (SDII), with a pronounced wet bias in HR models for R95p and R99p. Most LR models outperforms HR models in simulating R95p, R99p, and SDII. By means of a Comprehensive Ranking Metrics, EC-EARTH_HR is identified as the best performing model for simulating all nine extreme precipitation indices across the basins, except for the Zambezi, where EC-EARTH_LR performs best. Our findings indicate that increased resolution can either improve or worsen performance depending on the model and basin. Therefore, no clear evidence exist that enhanced horizontal resolution under HighResMIP enhances the simulation of extreme precipitation in southern Africa.

High-resolution estimates of water availability for the Iberian Peninsula under climate scenarios

Abstract

Water availability is of paramount importance for sustainable development and environmental planning, specifically in regions such as the Iberian Peninsula, renowned for diverse landscapes and varying climatic conditions. Due to climate change, understanding the potential impacts on water resources becomes essential for effective water management strategies. This research effort aims to assess future potential water availability for the Iberian Peninsula in different climate scenarios, employing cutting-edge water resource modelling techniques integrated within a geographic information system (GIS) framework. In this study, potential water availability is defined as the annual demand for water that can be satisfied at a specific point in the fluvial network with certain reliability. An ensemble of state-of-the-art climate models is utilised to project runoff for the Iberian Peninsula during the mid- and late-twenty-first century periods. These climate projections were subsequently processed using the GIS-based water resource management model, WAAPA, to derive potential water availability under a range of realistic hypotheses. The results indicate that anticipated shifts in precipitation patterns will lead to alterations in hydrological regimes across the region, significantly impacting future water availability. By using GIS-based methodologies, we can facilitate the identification of vulnerable areas susceptible to changes in water availability, offering spatially explicit information along the main rivers of the Iberian Peninsula for decision-makers and stakeholders. High-resolution spatial outputs from this research and detailed water availability estimates serve as valuable input for integrated water resource management and climate change adaptation planning. By combining advanced GIS-based hydrological modelling with climate scenarios, this research presents a robust framework for assessing water resources amidst a changing climate, applicable to other regions struggling with analogous challenges. Ultimately, our study provides vital insights for policymakers and stakeholders, empowering them to make informed decisions and devise adaptive measures to ensure sustainable use of water resources despite uncertain future climatic conditions.

Projected wind and waves around the Cuban archipelago using a multimodel ensemble

Abstract

A statistical downscaling of wind and wave regimes is presented. The study is around the Cuban archipelago for the mid-term (2031–2060) and the long-term (2061–2090) with respect to the historical period 1976–2005. A multimodel ensemble of CMIP5 models under the RCP4.5 and the RCP8.5 scenarios is used. Projections of the wind and wave regimes are projected through the BIAS correction (delta and empirical quantile mapping), and multiple regression with a determination coefficient of 88.3%, a residual standard deviation of 0.11, and a square mean error of 0.29. According to the statistical downscaling, the mean annual wind speed and the wave height showed significant changes in the western part of the Cuban archipelago. The extreme indicators of climate change referred to significant wave height show similarity in the representation of the future Cuban marine climate, which would have the most accentuated changes on the north coast of the central and eastern regions.