Association of extreme heat events with sleep and cardiovascular health: a scoping review.

Background: Extreme heat events (EHEs), driven by anthropogenic climate change, exacerbate the risk of cardiovascular disease (CVD), although the underlying mechanisms are unclear. A possible mechanism leading to heat-related CVD is disturbances in sleep health, which can increase the risk of hypertension, and is associated with ideal cardiovascular health. Thus, our objective was to systematically review the peer-reviewed literature that describes the relationship between EHEs, sleep health, and cardiovascular measures and outcomes and narratively describe methodologies, evidence, and gaps in this area in order to develop a future research agenda linking sleep health, EHEs, and CVD.

A Qualitative Evaluation of Two Electronic-Rehabilitation Programmes for Managing Persistent Knee Pain.

Introduction: Persistent knee pain often due to knee osteoarthritis (OA) is a highly prevalent and disabling condition. Electronic-rehabilitation (e-rehab) programmes have the potential to support self-management of knee OA. This study aimed to evaluate user engagement and acceptability of two e-rehab programmes, Group e-rehab, a remote physiotherapy-led programme and My Knee UK, a self-directed web-based exercise programme.

Loss of mucin 2 and MHC II molecules causes rare resistance to murine RV infection.

Enteric pathogen rotavirus (RV) primarily infects mature enterocytes at the tips of the intestinal villi; however, the role of secretory Paneth and goblet cells in RV pathogenesis remains unappreciated. Atoh1 knockout mice (Atoh1cKO) were used to conditionally delete Paneth, goblet, and enteroendocrine cells in the epithelium to investigate the role of secretory cells in RV infection. Unexpectedly, the number of infected enterocytes and the amount of RV shedding in the stool were greatly decreased following secretory cell deletion.

From mere 'stability' to 'durability'-Revisiting intention dynamics from a self-regulatory perspective with intensive longitudinal methods.

Behavioral intentions predict behavior better if they are stable over time. A statistical argument suggests that this is due to less measurement error, but recent theoretical advances suggest self-regulatory effects: durable intentions remain temporally stable due to their persistence when faced with challenges. Here, we leverage intensive longitudinal data on adherence with non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic (N = 623; total assessments = 19,740; study duration: 6 months each).