12Objectives White matter hyperintensities (WMHs) are considered macroscale markers of cerebrovascular 13 burden and are associated with increased risk of vascular cognitive impairment and dementia. However, 14 the spatial location of WMHs has typically been considered in broad categories of periventricular versus 15 deep white matter. The spatial distribution of WHMs associated with individual cerebrovascular risk 16 factors (CVR), controlling for frequently comorbid risk factors, has not been systematically investigated 17 at the population level in a healthy ageing cohort. Furthermore, there is an inconsistent relationship 18 between total white matter hyperintensity load and cognition, which may be due to the confounding of 19 several simultaneous risk factors in models based on smaller cohorts. 20 Methods We examined trends in individual CVR factors on total WMH burden in 13,680 individuals 21 (aged 45-80) using data from the UK Biobank. We estimated the spatial distribution of white matter 22 hyperintensities associated with each risk factor and their contribution to explaining total WMH load 23 using voxel-wise probit regression and univariate linear regression. Finally, we explored the impact of 24 CVR-related WMHs on speed of processing using regression and mediation analysis. 25 Results Contrary to the assumed dominance of hypertension as the biggest predictor of WMH burden, 26 we show associations with a number of risk factors including diabetes, heavy smoking, APOE ε4/ε4 status 27 and high waist-to-hip ratio of similar, or greater magnitude to hypertension. The spatial distribution of 28 WMHs varied considerably with individual cerebrovascular risk factors. There were independent effects 29 of visceral adiposity, as measured by waist-to-hip ratio, and carriage of the APOE ε4 allele in terms of the 30 unique spatial distribution of CVR-related WMHs. Importantly, the relationship between total WMH 31 load and speed of processing was mediated by waist-to-hip ratio suggesting cognitive consequences to 32 WMHs associated with excessive visceral fat deposition.
33Conclusion Waist-to-hip ratio, diabetes, heavy smoking, hypercholesterolemia and homozygous APOE 34 ε4 status are important risk factors, beyond hypertension, associated with WMH total burden and warrant 35 careful control across ageing. The spatial distribution associated with different risk factors may provide 36 important clues as to the pathogenesis and cognitive consequences of WMHs. High waist-to-hip ratio is 37 a key risk factor associated with slowing in speed of processing. With global obesity levels rising, focused 38 management of visceral adiposity may present a useful strategy for the mitigation of cognitive decline in 39 ageing. 40 1 42White matter hyperintensities (WMHs) of presumed vascular origin (Wardlaw et al., 2013) are widely 43 recognised as an indicator of poor brain health (Wardlaw et al., 2015). Age remains the strongest pre-44 dictor for the presence of WMHs. However, the total burden of WMHs...