Notes
Fluid intake and diet are thought to influence kidney stone risk. However, prospective studies have been limited to small samples sizes and/or restricted measures.
We investigated whether fluid intake and dietary factors are associated with the risk of developing a first kidney stone.
Cox proportional hazards models were used to investigate the association between fluid intake and dietary factors and the risk of a first incident kidney stone, ascertained from hospital inpatient records. We found that high intake of total fluid, fruit, and fibre was associated with a lower risk of hospitalisation for a first kidney stone suggests that modifiable dietary factors could be targeted to prevent kidney stone development.
Patient summary: We found that higher intake of total fluid, specifically tea, coffee, and alcohol (but not water), and consumption of fruit and foods high in fibre are linked with a reduced likelihood of developing kidney stones.
Application 885
Epidemiology of kidney stone disease
Kidney stone disease affects around 10% of the population at some point in their lifetime. In the last 10 years there has been a significant increase (67%) in the number of hospital diagnoses relating to stone disease (HES data). There is relatively limited data on causation. It is thought that diet and lifestyle have a significant impact on risk.
The aim of this project is to identify stone-forming patients in the UK Biobank using the HES link (6589 incident cases as of 16/9/14) and investigate potential dietary and lifestyle risk factors. This study would provide information for kidney stone formers to reduce their risk of recurrent stone formation. As such it meets one of the UK Biobank's objectives: to improve prevention of disease. Stone forming patients will be identified using ICD codes and/or OPCS codes. Analysis of lifestyle and dietary factors will be compared with non-stone formers in the cohort. A subset of patients with stones will be identified but their lifestyle and dietary data will need to be compared to the entire cohort.
Lead investigator: | Dr Benjamin Turney |
Lead institution: | University of Oxford |