Abstract
These data describe the distribution of risk factors for liver disease in Leeds, a large city in the UK. Anonymised, unlinked data were aggregated to lower super output areas by the Leeds GP data extraction programme for deprivation, obesity, diabetes and alcohol use. Incident liver disease was quantified from coding of hospital admissions. Alcohol use, deprivation and obesity were associated with LD. Risk factors clustered together geographically. Liver blood tests were more frequently done in areas of low-disease prevalence. These results illustrate health inequalities and support public health policies to reduce incident liver disease.