Prototype of an App Designed to Support Self-Management for Health Behaviors and Weight in Women Living With Breast Cancer: Qualitative User Experience Study.

Background: Accessible self-management interventions are required to support people living with breast cancer.

Objective: This was an industry-academic partnership study that aimed to collect qualitative user experience data of a prototype app with built-in peer and coach support designed to support the management of health behaviors and weight in women living with breast cancer.

Methods: Participants were aged ≥18 years, were diagnosed with breast cancer of any stage within the last 5 years, had completed active treatment, and were prescribed oral hormone therapy.

Factors associated with physical activity in individuals with metastatic cancer: a UK cross-sectional survey.

Purpose: Physical activity is safe and feasible for individuals with metastatic cancer and may support symptom management. We investigated the extent to which individuals with metastatic cancer are meeting the World Health Organisation (WHO) moderate-vigorous physical activity (MVPA) guideline, factors associated with meeting the guideline, and perceptions about physical activity and receiving physical activity advice.

Methods: Data were from UK adults with metastatic breast, prostate, or colorectal cancer who completed the Healthy Lifestyle After Cancer survey (N = 588).

A Cryptic Prophage Transcription Factor Drives Phenotypic Changes via Host Gene Regulation.

Cryptic prophages (CPs) are elements of bacterial genomes acquired from bacteriophage that infect the host cell and ultimately become stably integrated within the host genome. While some proteins encoded by CPs can modulate host phenotypes, the potential for Transcription Factors (TFs) encoded by CPs to impact host physiology by regulating host genes has not been thoroughly investigated. In this work, we report hundreds of host genes regulated by DicC, a DNA-binding TF encoded in the Qin prophage of .

Can-and should-automaticity be self-reported using a single item? A secondary analysis of 16 datasets.

Understanding the influence of habit on health behaviour, or the formation or disruption of health habits over time, requires reliable and valid measures of automaticity. The most used measure, the Self-Report Behavioural Automaticity Index (SRBAI; derived from the Self-Report Habit Index [SRHI]), comprises four items, which may be impractical in some research contexts. Responding to demand from fellow researchers, this study sought to identify whether and which single items from the SRBAI adequately detect hypothesised effects of automaticity, via secondary analysis of 16 datasets, incorporating 16,838 participants and seven different behaviours.