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Objectives: Cardiovascular disease (CVD) and associated risk factors within the prison population often present at a younger age in this cohort. Given CVD is largely preventable, it warrants investigation to fully quantify this risk. This study explored the relative predicted 10-year CVD risk and examined the calculated heart age in a representative sample of male individuals aged 25-84 years within the prison environment., Study Design: This was a cross-sectional study., Methods: Data were collected on 299 men who underwent a cardiometabolic risk assessment in HMP Parc, Bridgend. The QRISK2 algorithm was used to calculate 10-year CVD risk, relative risk (to general population) and the predicted heart age of an individual. Between-group differences (prison population vs general community) in cardiovascular risk predictions (10-year CVD risk and heart age) were assessed., Results: We observed that at all age groups, the relative risk of predicted 10-year CVD scores in the prison population was double that of the community risk (2.1 ± 0.6), and this was most apparent in the oldest age group (≥50 years: 17.0% compared to 8.8%; P < 0.001). Overall, the heart age of the sample was 7.5 (6.7-8.2) years higher than their own chronological age, and this difference increased to above 9 years in those aged ≥40 years., Conclusions: This study provides quantifiable evidence to the elevated CVD risk in prison. Heart age predictions were almost a decade higher in those aged ≥40 years. Lowering the screening age for CVD by around 5 years in the prison population should be considered., (Copyright © 2023 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Although limited, global evidence suggests that the cardiometabolic health of those in prison is poorer than their community peers. Type 2 diabetes (T2DM) is a public health challenge and community rates are continuing to rise. Given that cardiometabolic risk factors are prevalent amongst younger individuals within the prison population, it is reasonable to assume that the prison environment will also experience an increase in new cases of T2DM. Therefore, the aim of this study was, to predict in a current prison population, how many potential new cases of T2DM could develop in the next 10 years. This study used health data collected from a prison sample (n = 299) aged 25-84 years in HMP Parc, UK, and the Diabetes UK Risk Score was used to predict T2DM risk. In terms of projecting new cases, it was estimated that in the next decade 6.4 individuals per 100 would develop T2DM, and this value increased to 16.4 individuals per 100 in those aged 50 years and older. The development of new cases across all age groups is a concern, and it appears that the prison community are a 'target population' for prevention opportunities., (Copyright © 2021 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.)

A major challenge to implementing precision medicine is the need for an efficient and cost-effective strategy for returning individual genomic test results that is easily scalable and can be incorporated into multiple models of clinical practice. My46 is a Web-based tool for managing the return of genetic results that was designed and developed to support a wide range of approaches to disclosing results, ranging from traditional face-to-face disclosure to self-guided models. My46 has five key functions: set and modify results-return preferences, return results, educate, manage the return of results, and assess the return of results. These key functions are supported by six distinct modules and a suite of features that enhance the user experience, ease site navigation, facilitate knowledge sharing, and enable results-return tracking. My46 is a potentially effective solution for returning results and supports current trends toward shared decision making between patients and providers and patient-driven health management.Genet Med 19 4, 467-475.