Publications by authors named "S D Simpson"

High sugar intake, particularly fructose, is implicated in obesity and metabolic complications. On the other hand, fructose from fruits and vegetables has undisputed benefits for metabolic health. This raises a paradoxical question-how the same fructose molecule can be associated with detrimental health effects in some studies and beneficial in others.

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Objectives: Sepsis is a time-sensitive condition, and many rural emergency department (ED) sepsis patients are transferred to tertiary hospitals. The objective of this study was to determine whether longer transport times during interhospital transfer are associated with higher sepsis mortality or increased hospital length-of-stay (LOS).

Methods: A cohort of rural adult (age ≥ 18y) sepsis patients transferred between hospitals were identified in the TELEmedicine as a Virtual Intervention for Sepsis Care in Emergency Departments (TELEVISED) parent study.

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Background: Identifying clusters of multiple long-term conditions (MLTCs), also known as multimorbidity, and their associated burden may facilitate the development of effective and cost-effective targeted healthcare strategies. This study aimed to identify clusters of MLTCs and their associations with long-term health-related quality of life (HRQoL) in two UK population-based cohorts.

Methods: Age-stratified clusters of MLTCs were identified at baseline in UK Biobank (n = 502,363, 54.

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Introduction: Fear of recurrence is a transdiagnostic problem experienced by people with psychosis, which is associated with anxiety, depression and risk of future relapse events. Despite this, there is a lack of available psychological interventions for fear of recurrence, and psychological therapies for schizophrenia are often poorly implemented in general. However, low-intensity psychological therapy is available for people who experience fear of recurrence in the context of cancer, which means there is an opportunity to learn what has worked in a well-implemented psychological therapy to see if any learning can be adapted for schizophrenia care.

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