We used the Integrated Data Infrastructure in New Zealand to turn the Survey of Families, Income and Employment into a longitudinal child cohort study. Originally the survey collected information from adults across 8 waves (from 2002-2010). No information was collected on children, just their existence within households and families. Through linkage with publicly funded hospital admissions data we were able to assign health outcomes for children across the 8 waves of data collection. The aims of this project were to investigate the impact of income poverty on health in childhood, to investigate which aspects of income poverty dynamics had the greatest impact on these health outcomes, and to identify which factors most strongly mediate the association between income poverty and health. We also supplemented our analyses by looking at the association between income poverty and hospitalisations for children in the 2013 census. We also linked to Inland Revenue data to provide a sensitivity check for the self-reported incomes provided. I will report the results of associations between different measures of income poverty and hospitalisations in childhood.