Eugenics,Epigenetics, and Obesity Predisposition among Mexican Mestizos

ABSTRACT

We compare the discourses on obesity found in early- and mid-twentieth century Mexican public discourse with those of Mexican geneticists and doctors today. We argue that postgenomic shifts towards non-determinism, apparently contained in current openness to epigenetics, need to be considered alongside the persistence of racialized genetic determinisms, and alongside the potential for epigenetic environmental determinisms. By exploring the environmentalist explanations of earlier eugenic thinking about obesity, we trace continuities in the gendered and racialized framings of obesity, which risk stigmatizing indigenous ancestry and attributing blame to individual mothers.     

What Is the Psychosocial Impact of Providing Genetic and Genomic Health Information to Individuals? An Overview of Systematic Reviews

Optimistic predictions that genetic and genomic testing will provide health benefits have been tempered by the concern that individuals who receive their results may experience negative psychosocial outcomes. This potential ethical and clinical concern has prompted extensive conversations between policy‐makers, health researchers, ethicists, and the general public. Fortunately, the psychosocial consequences of such testing are subject to empirical investigation, and over the past quarter century, research that clarifies some of the types, likelihood, and severity of potential harms from learning the results of the testing has accumulated. I aim to provide an overview of the findings of this research by looking at selected systematic reviews. This will convey the gist of the literature’s quality and coverage, reveal gaps in existing knowledge, and highlight promising areas for future scholarship.     

Mental health of clinical staff working in high-risk epidemic and pandemic health emergencies a rapid review of the evidence and living meta-analysis

Purpose

The SARS-CoV-2 / COVID-19 pandemic has raised concerns about the potential mental health impact on frontline clinical staff. However, given that poor mental health is common in acute medical staff, we aimed to estimate the additional burden of work involving high exposure to infected patients.

Methods

We report a rapid review, meta-analysis, and living meta-analysis of studies using validated measures from outbreaks of COVID-19, Ebola, H1N1 influenza, Middle East respiratory syndrome (MERS), and severe acute respiratory syndrome (SARS).

Results

A random effects meta-analysis found that high-exposure work is not associated with an increased prevalence of above cut-off scoring (anxiety: RR = 1.30, 95% CI 0.87–1.93, Total N = 12,473; PTSD symptoms: RR = 1.16, 95% CI 0.75–1.78, Total N = 6604; depression: RR = 1.50, 95% CI 0.57–3.95, Total N = 12,224). For continuous scoring, high-exposure work was associated with only a small additional burden of acute mental health problems compared to low-exposure work (anxiety: SMD = 0.16, 95% CI 0.02–0.31, Total N = 6493; PTSD symptoms: SMD = 0.20, 95% CI 0.01–0.40, Total N = 5122; depression: SMD = 0.13, 95% CI -0.04–0.31, Total N = 4022). There was no evidence of publication bias.

Conclusion

Although epidemic and pandemic response work may add only a small additional burden, improving mental health through service management and provision of mental health services should be a priority given that baseline rates of poor mental health are already very high. As new studies emerge, they are being added to a living meta-analysis where all analysis code and data have been made freely available: https://osf.io/zs7ne/.

     

Information Management in Cancer Registries: Evaluating the Needs for Cancer Data Collection and Cancer Research

Cancer registry data collection involves, at a minimum, collecting data on demographics, tumor characteristics, and treatment. A common, identified, and standardized set of data elements is needed to share data quickly and efficiently with consumers of this data. This project highlights the fact that, there is a need to develop common data elements; Surveys were developed for central cancer registries (CCRs) and cancer researchers (CRs) at NCI-designated Cancer Centers, in order to understand data needs. Survey questions were developed based on the project focus, an evaluation of the research registries and database responses, and systematic review of the literature. Questions covered the following topics: 1) Research, 2) Data collection, 3) Database/ repository, 4) Use of data, 5) Additional data items, 6) Data requests, 7) New data fields, and 8) Cancer registry data set. A review of the surveys indicates that all cancer registries’ data are used for public health surveillance, and 96% of the registries indicate the data are also used for research. Data are available online in interactive tables from over 50% of CRs and 87% of CCRs. Some other survey responses indicate that CCR treatment data are not complete for example treatment data, however cancer researchers are interested in treatment variables from CCRs. Cancer registries have many data available for review, but need to examine what data are needed and used by different entities. Cancer Registries can further enhance usage through collaborations and partnerships to connect common interests in the data by making registries visible and accessible.