Publications by authors named "K Jayne Bradbury"

Uncertainty remains regarding the role of diet in colorectal cancer development. We examined associations of 97 dietary factors with colorectal cancer risk in 542,778 Million Women Study participants (12,251 incident cases over 16.6 years), and conducted a targeted genetic analysis in the ColoRectal Transdisciplinary Study, Colon Cancer Family Registry, and Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO).

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Objectives: Globally, the prevalence of long-term conditions (LTCs) continues to rise. The impact of LTCs presents significant challenges for international health and social care systems and continues to be a leading cause of mortality. Despite this, digital health coaching interventions (DHCIs) appear to be a promising strategy for managing chronic disease.

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Article Synopsis
  • The study explores the implementation of a digital health intervention (DHI) designed for supporting self-management among long COVID patients, involving a patient app and a clinician dashboard.
  • Using qualitative analysis and Normalisation Process Theory, researchers found that the DHI was adaptable to various healthcare settings, enhancing collaboration among healthcare professionals while acknowledging the necessity for in-person care.
  • The findings suggest that DHIs can potentially transform traditional healthcare engagement patterns, emphasizing the importance of organizational context and individual experiences in successful implementation.
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The food we eat has a critical impact on human and planetary health. Food systems are responsible for approximately a third of total global greenhouse gas emissions (GHGE). This review summarises studies that have measured dietary GHGE and assessed their associations with various demographic variables.

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Objectives: To examine trajectories of functional limitations, fatigue, health-related quality of life (HRQL) and societal costs of patients referred to long COVID clinics.

Design: A population-based longitudinal cohort study using real-time user data.

Setting: 35 specialised long COVID clinics in the UK.

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